var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"https://api.zotero.org/users/1729868/collections/J5D9IHP7/items?key=n4LeME0A45w9AHGzM16k3I3O&format=bibtex&limit=100\",\"jsonp\":\"1\",\"host\":\"bibbase.org\"},\n      data: [{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study\",\"volume\":\"10\",\"issn\":\"2291-9694\",\"shorttitle\":\"Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse\",\"doi\":\"10.2196/38936\",\"abstract\":\"BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm. OBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse. METHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM). RESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. \\\"Track\\\" is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). \\\"Feature\\\" is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables \\\"TRACK\\\" and \\\"FEATURE\\\" to store variables obtained in feature extraction and extend the OMOP CDM. CONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.\",\"language\":\"eng\",\"number\":\"10\",\"journal\":\"JMIR medical informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fruchart\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paris\"],\"firstnames\":[\"Nicolas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Popoff\"],\"firstnames\":[\"Benjamin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Payen\"],\"firstnames\":[\"Anaïs\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balcaen\"],\"firstnames\":[\"Thibaut\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gacquer\"],\"firstnames\":[\"William\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bouzillé\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cuggia\"],\"firstnames\":[\"Marc\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Doutreligne\"],\"firstnames\":[\"Matthieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2022\",\"pmid\":\"36251369\",\"pmcid\":\"PMC9623460\",\"keywords\":\"Observation Medical Outcomes Partnership, algorithm, data reuse, data warehouse, database, feature extraction\",\"pages\":\"e38936\",\"bibtex\":\"@article{lamer_standardized_2022,\\n\\ttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}: {Consensus} {Study}},\\n\\tvolume = {10},\\n\\tissn = {2291-9694},\\n\\tshorttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}},\\n\\tdoi = {10.2196/38936},\\n\\tabstract = {BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm.\\nOBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse.\\nMETHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM).\\nRESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. \\\"Track\\\" is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). \\\"Feature\\\" is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables \\\"TRACK\\\" and \\\"FEATURE\\\" to store variables obtained in feature extraction and extend the OMOP CDM.\\nCONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.},\\n\\tlanguage = {eng},\\n\\tnumber = {10},\\n\\tjournal = {JMIR medical informatics},\\n\\tauthor = {Lamer, Antoine and Fruchart, Mathilde and Paris, Nicolas and Popoff, Benjamin and Payen, Anaïs and Balcaen, Thibaut and Gacquer, William and Bouzillé, Guillaume and Cuggia, Marc and Doutreligne, Matthieu and Chazard, Emmanuel},\\n\\tmonth = oct,\\n\\tyear = {2022},\\n\\tpmid = {36251369},\\n\\tpmcid = {PMC9623460},\\n\\tkeywords = {Observation Medical Outcomes Partnership, algorithm, data reuse, data warehouse, database, feature extraction},\\n\\tpages = {e38936},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Fruchart, M.\",\"Paris, N.\",\"Popoff, B.\",\"Payen, A.\",\"Balcaen, T.\",\"Gacquer, W.\",\"Bouzillé, G.\",\"Cuggia, M.\",\"Doutreligne, M.\",\"Chazard, E.\"],\"key\":\"lamer_standardized_2022\",\"id\":\"lamer_standardized_2022\",\"bibbaseid\":\"lamer-fruchart-paris-popoff-payen-balcaen-gacquer-bouzill-etal-standardizeddescriptionofthefeatureextractionprocesstotransformrawdataintomeaningfulinformationforenhancingdatareuseconsensusstudy-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Observation Medical Outcomes Partnership\",\"algorithm\",\"data reuse\",\"data warehouse\",\"database\",\"feature extraction\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"End-tidal Carbon Dioxide for Diagnosing Anaphylaxis in Patients with Severe Postinduction Hypotension\",\"volume\":\"136\",\"issn\":\"1528-1175\",\"doi\":\"10.1097/ALN.0000000000004123\",\"abstract\":\"BACKGROUND: Perioperative hypersensitivity reactions may be difficult to diagnose during general anesthesia. Postinduction hypotension is the most common sign but is not specific. It was recently suggested that low end-tidal carbon dioxide (ETco2) might be a marker of anaphylaxis (Ring and Messmer grades III to IV immediate hypersensitivity reactions) in hypotensive patients under mechanical ventilation. To test this hypothesis, the authors compared ETco2 in patients with a diagnosis of anaphylaxis and in patients with severe hypotension from any other cause after the induction of anesthesia. METHODS: This was a retrospective single-center case-control study in which two groups were formed from an anesthesia data warehouse. The anaphylaxis group was formed on the basis of tryptase/histamine assay data and allergy workup data recorded over the period 2010 to 2018. The control (hypotension) group consisted of all patients having experienced severe hypotension (mean arterial pressure less than 50 mmHg for 5 min or longer) with a cause other than anaphylaxis after anesthesia induction in 2017. RESULTS: The anaphylaxis and hypotension groups comprised 49 patients (grade III: n = 38; grade IV: n = 11) and 555 patients, respectively. The minimum ETco2 value was significantly lower in the anaphylaxis group (median [interquartile range]: 17 [12 to 23] mmHg) than in the hypotension group (32 [29 to 34] mmHg; P \\\\textless 0.001). The area under the receiver operating characteristic curve (95% CI) for ETco2 was 0.95 (0.91 to 0.99). The sensitivity and specificity (95% CI) for the optimal cutoff value were 0.92 (0.82 to 0.98) and 0.94 (0.92 to 0.99), respectively. In multivariable analysis, minimum ETco2 was associated with anaphylaxis after adjusting for confounders and competing predictors, including arterial pressure, heart rate, and peak airway pressure (odds ratio [95% CI] for ETco2: 0.51 [0.38 to 0.68]; P \\\\textless 0.001). CONCLUSIONS: In case of severe hypotension after anesthesia induction, a low ETco2 contributes to the diagnosis of anaphylaxis, in addition to the classical signs of perioperative immediate hypersensitivity.\",\"language\":\"eng\",\"number\":\"3\",\"journal\":\"Anesthesiology\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Erlich\"],\"firstnames\":[\"Clémence\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Moussa\"],\"firstnames\":[\"Mouhamed\",\"D.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Martin\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rogeau\"],\"firstnames\":[\"Stéphanie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tavernier\"],\"firstnames\":[\"Benoit\"],\"suffixes\":[]}],\"month\":\"March\",\"year\":\"2022\",\"pmid\":\"35041738\",\"keywords\":\"Anaphylaxis, Anesthesia, General, Carbon Dioxide, Case-Control Studies, Female, Humans, Hypotension, Male, Middle Aged, Retrospective Studies, Tidal Volume\",\"pages\":\"472–481\",\"bibtex\":\"@article{erlich_end-tidal_2022,\\n\\ttitle = {End-tidal {Carbon} {Dioxide} for {Diagnosing} {Anaphylaxis} in {Patients} with {Severe} {Postinduction} {Hypotension}},\\n\\tvolume = {136},\\n\\tissn = {1528-1175},\\n\\tdoi = {10.1097/ALN.0000000000004123},\\n\\tabstract = {BACKGROUND: Perioperative hypersensitivity reactions may be difficult to diagnose during general anesthesia. Postinduction hypotension is the most common sign but is not specific. It was recently suggested that low end-tidal carbon dioxide (ETco2) might be a marker of anaphylaxis (Ring and Messmer grades III to IV immediate hypersensitivity reactions) in hypotensive patients under mechanical ventilation. To test this hypothesis, the authors compared ETco2 in patients with a diagnosis of anaphylaxis and in patients with severe hypotension from any other cause after the induction of anesthesia.\\nMETHODS: This was a retrospective single-center case-control study in which two groups were formed from an anesthesia data warehouse. The anaphylaxis group was formed on the basis of tryptase/histamine assay data and allergy workup data recorded over the period 2010 to 2018. The control (hypotension) group consisted of all patients having experienced severe hypotension (mean arterial pressure less than 50 mmHg for 5 min or longer) with a cause other than anaphylaxis after anesthesia induction in 2017.\\nRESULTS: The anaphylaxis and hypotension groups comprised 49 patients (grade III: n = 38; grade IV: n = 11) and 555 patients, respectively. The minimum ETco2 value was significantly lower in the anaphylaxis group (median [interquartile range]: 17 [12 to 23] mmHg) than in the hypotension group (32 [29 to 34] mmHg; P {\\\\textless} 0.001). The area under the receiver operating characteristic curve (95\\\\% CI) for ETco2 was 0.95 (0.91 to 0.99). The sensitivity and specificity (95\\\\% CI) for the optimal cutoff value were 0.92 (0.82 to 0.98) and 0.94 (0.92 to 0.99), respectively. In multivariable analysis, minimum ETco2 was associated with anaphylaxis after adjusting for confounders and competing predictors, including arterial pressure, heart rate, and peak airway pressure (odds ratio [95\\\\% CI] for ETco2: 0.51 [0.38 to 0.68]; P {\\\\textless} 0.001).\\nCONCLUSIONS: In case of severe hypotension after anesthesia induction, a low ETco2 contributes to the diagnosis of anaphylaxis, in addition to the classical signs of perioperative immediate hypersensitivity.},\\n\\tlanguage = {eng},\\n\\tnumber = {3},\\n\\tjournal = {Anesthesiology},\\n\\tauthor = {Erlich, Clémence and Lamer, Antoine and Moussa, Mouhamed D. and Martin, Julien and Rogeau, Stéphanie and Tavernier, Benoit},\\n\\tmonth = mar,\\n\\tyear = {2022},\\n\\tpmid = {35041738},\\n\\tkeywords = {Anaphylaxis, Anesthesia, General, Carbon Dioxide, Case-Control Studies, Female, Humans, Hypotension, Male, Middle Aged, Retrospective Studies, Tidal Volume},\\n\\tpages = {472--481},\\n}\\n\\n\",\"author_short\":[\"Erlich, C.\",\"Lamer, A.\",\"Moussa, M. D.\",\"Martin, J.\",\"Rogeau, S.\",\"Tavernier, B.\"],\"key\":\"erlich_end-tidal_2022\",\"id\":\"erlich_end-tidal_2022\",\"bibbaseid\":\"erlich-lamer-moussa-martin-rogeau-tavernier-endtidalcarbondioxidefordiagnosinganaphylaxisinpatientswithseverepostinductionhypotension-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Anaphylaxis\",\"Anesthesia\",\"General\",\"Carbon Dioxide\",\"Case-Control Studies\",\"Female\",\"Humans\",\"Hypotension\",\"Male\",\"Middle Aged\",\"Retrospective Studies\",\"Tidal Volume\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Exploration of the core protein network under endometriosis symptomatology using a computational approach\",\"volume\":\"13\",\"issn\":\"1664-2392\",\"doi\":\"10.3389/fendo.2022.869053\",\"abstract\":\"BACKGROUND: Endometriosis is defined by implantation and invasive growth of endometrial tissue in extra-uterine locations causing heterogeneous symptoms, and a unique clinical picture for each patient. Understanding the complex biological mechanisms underlying these symptoms and the protein networks involved may be useful for early diagnosis and identification of pharmacological targets. METHODS: In the present study, we combined three approaches (i) a text-mining analysis to perform a systematic search of proteins over existing literature, (ii) a functional enrichment analysis to identify the biological pathways in which proteins are most involved, and (iii) a protein-protein interaction (PPI) network to identify which proteins modulate the most strongly the symptomatology of endometriosis. RESULTS: Two hundred seventy-eight proteins associated with endometriosis symptomatology in the scientific literature were extracted. Thirty-five proteins were selected according to degree and betweenness scores criteria. The most enriched biological pathways associated with these symptoms were (i) Interleukin-4 and Interleukin-13 signaling (p = 1.11 x 10-16), (ii) Signaling by Interleukins (p = 1.11 x 10-16), (iii) Cytokine signaling in Immune system (p = 1.11 x 10-16), and (iv) Interleukin-10 signaling (p = 5.66 x 10-15). CONCLUSION: Our study identified some key proteins with the ability to modulate endometriosis symptomatology. Our findings indicate that both pro- and anti-inflammatory biological pathways may play important roles in the symptomatology of endometriosis. This approach represents a genuine systemic method that may complement traditional experimental studies. The current data can be used to identify promising biomarkers for early diagnosis and potential therapeutic targets.\",\"language\":\"eng\",\"journal\":\"Frontiers in Endocrinology\",\"author\":[{\"propositions\":[],\"lastnames\":[\"El\",\"Idrissi\"],\"firstnames\":[\"Fatima\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fruchart\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Belarbi\"],\"firstnames\":[\"Karim\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Dubois-Deruy\"],\"firstnames\":[\"Emilie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lemdani\"],\"firstnames\":[\"Mohamed\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"N'Guessan\"],\"firstnames\":[\"Assi\",\"L.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Guinhouya\"],\"firstnames\":[\"Benjamin\",\"C.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zitouni\"],\"firstnames\":[\"Djamel\"],\"suffixes\":[]}],\"year\":\"2022\",\"pmid\":\"36120440\",\"pmcid\":\"PMC9478376\",\"keywords\":\"Endometriosis, Female, Humans, Interleukin-10, Interleukin-13, Interleukin-4, Protein Interaction Maps, cell signaling, endometrium, female infertility, systems biology, text-mining\",\"pages\":\"869053\",\"bibtex\":\"@article{el_idrissi_exploration_2022,\\n\\ttitle = {Exploration of the core protein network under endometriosis symptomatology using a computational approach},\\n\\tvolume = {13},\\n\\tissn = {1664-2392},\\n\\tdoi = {10.3389/fendo.2022.869053},\\n\\tabstract = {BACKGROUND: Endometriosis is defined by implantation and invasive growth of endometrial tissue in extra-uterine locations causing heterogeneous symptoms, and a unique clinical picture for each patient. Understanding the complex biological mechanisms underlying these symptoms and the protein networks involved may be useful for early diagnosis and identification of pharmacological targets.\\nMETHODS: In the present study, we combined three approaches (i) a text-mining analysis to perform a systematic search of proteins over existing literature, (ii) a functional enrichment analysis to identify the biological pathways in which proteins are most involved, and (iii) a protein-protein interaction (PPI) network to identify which proteins modulate the most strongly the symptomatology of endometriosis.\\nRESULTS: Two hundred seventy-eight proteins associated with endometriosis symptomatology in the scientific literature were extracted. Thirty-five proteins were selected according to degree and betweenness scores criteria. The most enriched biological pathways associated with these symptoms were (i) Interleukin-4 and Interleukin-13 signaling (p = 1.11 x 10-16), (ii) Signaling by Interleukins (p = 1.11 x 10-16), (iii) Cytokine signaling in Immune system (p = 1.11 x 10-16), and (iv) Interleukin-10 signaling (p = 5.66 x 10-15).\\nCONCLUSION: Our study identified some key proteins with the ability to modulate endometriosis symptomatology. Our findings indicate that both pro- and anti-inflammatory biological pathways may play important roles in the symptomatology of endometriosis. This approach represents a genuine systemic method that may complement traditional experimental studies. The current data can be used to identify promising biomarkers for early diagnosis and potential therapeutic targets.},\\n\\tlanguage = {eng},\\n\\tjournal = {Frontiers in Endocrinology},\\n\\tauthor = {El Idrissi, Fatima and Fruchart, Mathilde and Belarbi, Karim and Lamer, Antoine and Dubois-Deruy, Emilie and Lemdani, Mohamed and N'Guessan, Assi L. and Guinhouya, Benjamin C. and Zitouni, Djamel},\\n\\tyear = {2022},\\n\\tpmid = {36120440},\\n\\tpmcid = {PMC9478376},\\n\\tkeywords = {Endometriosis, Female, Humans, Interleukin-10, Interleukin-13, Interleukin-4, Protein Interaction Maps, cell signaling, endometrium, female infertility, systems biology, text-mining},\\n\\tpages = {869053},\\n}\\n\\n\",\"author_short\":[\"El Idrissi, F.\",\"Fruchart, M.\",\"Belarbi, K.\",\"Lamer, A.\",\"Dubois-Deruy, E.\",\"Lemdani, M.\",\"N'Guessan, A. L.\",\"Guinhouya, B. C.\",\"Zitouni, D.\"],\"key\":\"el_idrissi_exploration_2022\",\"id\":\"el_idrissi_exploration_2022\",\"bibbaseid\":\"elidrissi-fruchart-belarbi-lamer-duboisderuy-lemdani-nguessan-guinhouya-etal-explorationofthecoreproteinnetworkunderendometriosissymptomatologyusingacomputationalapproach-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Endometriosis\",\"Female\",\"Humans\",\"Interleukin-10\",\"Interleukin-13\",\"Interleukin-4\",\"Protein Interaction Maps\",\"cell signaling\",\"endometrium\",\"female infertility\",\"systems biology\",\"text-mining\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Visualization of medical concepts represented using word embeddings: a scoping review\",\"volume\":\"22\",\"issn\":\"1472-6947\",\"shorttitle\":\"Visualization of medical concepts represented using word embeddings\",\"doi\":\"10.1186/s12911-022-01822-9\",\"abstract\":\"BACKGROUND: Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approaches in natural language processing (NLP), to learn dense and low-dimensional word representations from large unlabeled corpora that capture the implicit semantics of words. Models like Word2Vec, GloVe or FastText have been broadly applied and reviewed in the bioinformatics and healthcare fields, most often to embed clinical notes or activity and diagnostic codes. Visualization of the learned embeddings has been used in a subset of these works, whether for exploratory or evaluation purposes. However, visualization practices tend to be heterogeneous, and lack overall guidelines. OBJECTIVE: This scoping review aims to describe the methods and strategies used to visualize medical concepts represented using word embedding methods. We aim to understand the objectives of the visualizations and their limits. METHODS: This scoping review summarizes different methods used to visualize word embeddings in healthcare. We followed the methodology proposed by Arksey and O'Malley (Int J Soc Res Methodol 8:19-32, 2005) and by Levac et al. (Implement Sci 5:69, 2010) to better analyze the data and provide a synthesis of the literature on the matter. RESULTS: We first obtained 471 unique articles from a search conducted in PubMed, MedRxiv and arXiv databases. 30 of these were effectively reviewed, based on our inclusion and exclusion criteria. 23 articles were excluded in the full review stage, resulting in the analysis of 7 papers that fully correspond to our inclusion criteria. Included papers pursued a variety of objectives and used distinct methods to evaluate their embeddings and to visualize them. Visualization also served heterogeneous purposes, being alternatively used as a way to explore the embeddings, to evaluate them or to merely illustrate properties otherwise formally assessed. CONCLUSIONS: Visualization helps to explore embedding results (further dimensionality reduction, synthetic representation). However, it does not exhaust the information conveyed by the embeddings nor constitute a self-sustaining evaluation method of their pertinence.\",\"language\":\"eng\",\"number\":\"1\",\"journal\":\"BMC medical informatics and decision making\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Oubenali\"],\"firstnames\":[\"Naima\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Messaoud\"],\"firstnames\":[\"Sabrina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Filiot\"],\"firstnames\":[\"Alexandre\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Andrey\"],\"firstnames\":[\"Paul\"],\"suffixes\":[]}],\"month\":\"March\",\"year\":\"2022\",\"pmid\":\"35351120\",\"pmcid\":\"PMC8962592\",\"keywords\":\"Data mining, Databases, Factual, Deep learning, Electronic Health Records, Humans, Medical, Natural Language Processing, Natural language processing, PubMed, Semantics, Visualization, Word embeddings\",\"pages\":\"83\",\"bibtex\":\"@article{oubenali_visualization_2022,\\n\\ttitle = {Visualization of medical concepts represented using word embeddings: a scoping review},\\n\\tvolume = {22},\\n\\tissn = {1472-6947},\\n\\tshorttitle = {Visualization of medical concepts represented using word embeddings},\\n\\tdoi = {10.1186/s12911-022-01822-9},\\n\\tabstract = {BACKGROUND: Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approaches in natural language processing (NLP), to learn dense and low-dimensional word representations from large unlabeled corpora that capture the implicit semantics of words. Models like Word2Vec, GloVe or FastText have been broadly applied and reviewed in the bioinformatics and healthcare fields, most often to embed clinical notes or activity and diagnostic codes. Visualization of the learned embeddings has been used in a subset of these works, whether for exploratory or evaluation purposes. However, visualization practices tend to be heterogeneous, and lack overall guidelines.\\nOBJECTIVE: This scoping review aims to describe the methods and strategies used to visualize medical concepts represented using word embedding methods. We aim to understand the objectives of the visualizations and their limits.\\nMETHODS: This scoping review summarizes different methods used to visualize word embeddings in healthcare. We followed the methodology proposed by Arksey and O'Malley (Int J Soc Res Methodol 8:19-32, 2005) and by Levac et al. (Implement Sci 5:69, 2010) to better analyze the data and provide a synthesis of the literature on the matter.\\nRESULTS: We first obtained 471 unique articles from a search conducted in PubMed, MedRxiv and arXiv databases. 30 of these were effectively reviewed, based on our inclusion and exclusion criteria. 23 articles were excluded in the full review stage, resulting in the analysis of 7 papers that fully correspond to our inclusion criteria. Included papers pursued a variety of objectives and used distinct methods to evaluate their embeddings and to visualize them. Visualization also served heterogeneous purposes, being alternatively used as a way to explore the embeddings, to evaluate them or to merely illustrate properties otherwise formally assessed.\\nCONCLUSIONS: Visualization helps to explore embedding results (further dimensionality reduction, synthetic representation). However, it does not exhaust the information conveyed by the embeddings nor constitute a self-sustaining evaluation method of their pertinence.},\\n\\tlanguage = {eng},\\n\\tnumber = {1},\\n\\tjournal = {BMC medical informatics and decision making},\\n\\tauthor = {Oubenali, Naima and Messaoud, Sabrina and Filiot, Alexandre and Lamer, Antoine and Andrey, Paul},\\n\\tmonth = mar,\\n\\tyear = {2022},\\n\\tpmid = {35351120},\\n\\tpmcid = {PMC8962592},\\n\\tkeywords = {Data mining, Databases, Factual, Deep learning, Electronic Health Records, Humans, Medical, Natural Language Processing, Natural language processing, PubMed, Semantics, Visualization, Word embeddings},\\n\\tpages = {83},\\n}\\n\\n\",\"author_short\":[\"Oubenali, N.\",\"Messaoud, S.\",\"Filiot, A.\",\"Lamer, A.\",\"Andrey, P.\"],\"key\":\"oubenali_visualization_2022\",\"id\":\"oubenali_visualization_2022\",\"bibbaseid\":\"oubenali-messaoud-filiot-lamer-andrey-visualizationofmedicalconceptsrepresentedusingwordembeddingsascopingreview-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data mining\",\"Databases\",\"Factual\",\"Deep learning\",\"Electronic Health Records\",\"Humans\",\"Medical\",\"Natural Language Processing\",\"Natural language processing\",\"PubMed\",\"Semantics\",\"Visualization\",\"Word embeddings\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"incollection\",\"type\":\"incollection\",\"title\":\"Master’s Degree in Health Data Science: Implementation and Assessment After Five Years\",\"shorttitle\":\"Master’s Degree in Health Data Science\",\"url\":\"https://ebooks.iospress.nl/doi/10.3233/SHTI220906\",\"urldate\":\"2024-01-18\",\"booktitle\":\"Digital Professionalism in Health and Care: Developing the Workforce, Building the Future\",\"publisher\":\"IOS Press\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Oubenali\"],\"firstnames\":[\"Naima\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fruchart\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Guinhouya\"],\"firstnames\":[\"Benjamin\"],\"suffixes\":[]}],\"year\":\"2022\",\"doi\":\"10.3233/SHTI220906\",\"pages\":\"51–55\",\"bibtex\":\"@incollection{lamer_masters_2022,\\n\\ttitle = {Master’s {Degree} in {Health} {Data} {Science}: {Implementation} and {Assessment} {After} {Five} {Years}},\\n\\tshorttitle = {Master’s {Degree} in {Health} {Data} {Science}},\\n\\turl = {https://ebooks.iospress.nl/doi/10.3233/SHTI220906},\\n\\turldate = {2024-01-18},\\n\\tbooktitle = {Digital {Professionalism} in {Health} and {Care}: {Developing} the {Workforce}, {Building} the {Future}},\\n\\tpublisher = {IOS Press},\\n\\tauthor = {Lamer, Antoine and Oubenali, Naima and Marcilly, Romaric and Fruchart, Mathilde and Guinhouya, Benjamin},\\n\\tyear = {2022},\\n\\tdoi = {10.3233/SHTI220906},\\n\\tpages = {51--55},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Oubenali, N.\",\"Marcilly, R.\",\"Fruchart, M.\",\"Guinhouya, B.\"],\"key\":\"lamer_masters_2022\",\"id\":\"lamer_masters_2022\",\"bibbaseid\":\"lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://ebooks.iospress.nl/doi/10.3233/SHTI220906\"},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study\",\"volume\":\"331\",\"issn\":\"0165-1781\",\"shorttitle\":\"Exploring seasonality in catatonia diagnosis\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S0165178123006029\",\"doi\":\"10.1016/j.psychres.2023.115652\",\"abstract\":\"Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September–October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.\",\"urldate\":\"2023-12-11\",\"journal\":\"Psychiatry Research\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Mastellari\"],\"firstnames\":[\"Tomas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Saint-Dizier\"],\"firstnames\":[\"Chloé\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fovet\"],\"firstnames\":[\"Thomas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Geoffroy\"],\"firstnames\":[\"Pierre-Alexis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rogers\"],\"firstnames\":[\"Jonathan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Amad\"],\"firstnames\":[\"Ali\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2024\",\"keywords\":\"Catatonia, Catatonic syndrome, Diagnosis of catatonia, Onset of catatonia, Seasonality, Seasons\",\"pages\":\"115652\",\"bibtex\":\"@article{mastellari_exploring_2024,\\n\\ttitle = {Exploring seasonality in catatonia diagnosis: {Evidence} from a large-scale population study},\\n\\tvolume = {331},\\n\\tissn = {0165-1781},\\n\\tshorttitle = {Exploring seasonality in catatonia diagnosis},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S0165178123006029},\\n\\tdoi = {10.1016/j.psychres.2023.115652},\\n\\tabstract = {Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September–October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.},\\n\\turldate = {2023-12-11},\\n\\tjournal = {Psychiatry Research},\\n\\tauthor = {Mastellari, Tomas and Saint-Dizier, Chloé and Fovet, Thomas and Geoffroy, Pierre-Alexis and Rogers, Jonathan and Lamer, Antoine and Amad, Ali},\\n\\tmonth = jan,\\n\\tyear = {2024},\\n\\tkeywords = {Catatonia, Catatonic syndrome, Diagnosis of catatonia, Onset of catatonia, Seasonality, Seasons},\\n\\tpages = {115652},\\n}\\n\\n\",\"author_short\":[\"Mastellari, T.\",\"Saint-Dizier, C.\",\"Fovet, T.\",\"Geoffroy, P.\",\"Rogers, J.\",\"Lamer, A.\",\"Amad, A.\"],\"key\":\"mastellari_exploring_2024\",\"id\":\"mastellari_exploring_2024\",\"bibbaseid\":\"mastellari-saintdizier-fovet-geoffroy-rogers-lamer-amad-exploringseasonalityincatatoniadiagnosisevidencefromalargescalepopulationstudy-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S0165178123006029\"},\"keyword\":[\"Catatonia\",\"Catatonic syndrome\",\"Diagnosis of catatonia\",\"Onset of catatonia\",\"Seasonality\",\"Seasons\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients: a ten-year retrospective cohort-study\",\"issn\":\"1528-1175\",\"shorttitle\":\"Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients\",\"doi\":\"10.1097/ALN.0000000000004848\",\"abstract\":\"BACKGROUND: Postoperative Pulmonary Complications (PPC) is a major issue that impacts outcomes of surgical patients. Our hypothesis was that the intraoperative ventilation parameters are associated with occurrence of PPCs. METHODS: We conducted a single-center retrospective cohort-study at the Lille University Hospital, France. We included 33701 adults undergoing non-cardiac non-thoracic elective surgery requiring general anesthesia with tracheal intubation between January 2010 and December 2019. We compared intraoperative ventilation parameters between patients with and without one or more PPC (respiratory infection, respiratory failure, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis) within 7 days of surgery. RESULTS: Among 33701 patients, 2033 (6.0%) had one or more PPCs. Lower Tidal Volume to Predicted Body Weight ratio (OR per -1 ml.kgPBW-1: 1.08 95%CI: 1.02 to 1.14, p\\\\textless0.001), higher mechanical power (OR per 4J.min -1: 1.37, 95%CI: 1.26 to 1.49, p\\\\textless0.001), dynamic respiratory system compliance \\\\textless 30 ml.cmH2O, (1.30 [1.15 to 1.46], p\\\\textless0.001), SpO2 below 96% (OR: 2.42, 95%CI: 1.97 to 2.96, p\\\\textless0.001) and lower EtCO2 (OR per -3 mmHg: 1.06, 95%CI: 1.00 to 1.13, p=0.023) were independently associated with PPCs. Patients with PPCs were more likely to be admitted to the Intensive Care Unit (OR: 12.5, 95%CI: 6.6-10.1, p\\\\textless0.001), had longer hospital Length of stay (sHR: 0.43, 95CI: 0.40-0.45), and higher in-hospital (sHR: 6.0, 95%CI: 4.1-9.0, p\\\\textless0.001) and 1-year mortality (sHR: 2.65, 95%CI 2.33-3.02, p\\\\textless0.001). CONCLUSIONS: In our population, decreased rather than increased tidal volume, decreased compliance, increased mechanical power, and decreased EtCO2 were independently associated with PPCs.\",\"language\":\"eng\",\"journal\":\"Anesthesiology\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Elefterion\"],\"firstnames\":[\"Bertrand\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cirenei\"],\"firstnames\":[\"Cedric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kipnis\"],\"firstnames\":[\"Eric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cailliau\"],\"firstnames\":[\"Emeline\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bruandet\"],\"firstnames\":[\"Amélie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tavernier\"],\"firstnames\":[\"Benoit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lebuffe\"],\"firstnames\":[\"Gilles\"],\"suffixes\":[]}],\"month\":\"November\",\"year\":\"2023\",\"pmid\":\"38011027\",\"bibtex\":\"@article{elefterion_intraoperative_2023,\\n\\ttitle = {Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients: a ten-year retrospective cohort-study},\\n\\tissn = {1528-1175},\\n\\tshorttitle = {Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients},\\n\\tdoi = {10.1097/ALN.0000000000004848},\\n\\tabstract = {BACKGROUND: Postoperative Pulmonary Complications (PPC) is a major issue that impacts outcomes of surgical patients. Our hypothesis was that the intraoperative ventilation parameters are associated with occurrence of PPCs.\\nMETHODS: We conducted a single-center retrospective cohort-study at the Lille University Hospital, France. We included 33701 adults undergoing non-cardiac non-thoracic elective surgery requiring general anesthesia with tracheal intubation between January 2010 and December 2019. We compared intraoperative ventilation parameters between patients with and without one or more PPC (respiratory infection, respiratory failure, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis) within 7 days of surgery.\\nRESULTS: Among 33701 patients, 2033 (6.0\\\\%) had one or more PPCs. Lower Tidal Volume to Predicted Body Weight ratio (OR per -1 ml.kgPBW-1: 1.08 95\\\\%CI: 1.02 to 1.14, p{\\\\textless}0.001), higher mechanical power (OR per 4J.min -1: 1.37, 95\\\\%CI: 1.26 to 1.49, p{\\\\textless}0.001), dynamic respiratory system compliance {\\\\textless} 30 ml.cmH2O, (1.30 [1.15 to 1.46], p{\\\\textless}0.001), SpO2 below 96\\\\% (OR: 2.42, 95\\\\%CI: 1.97 to 2.96, p{\\\\textless}0.001) and lower EtCO2 (OR per -3 mmHg: 1.06, 95\\\\%CI: 1.00 to 1.13, p=0.023) were independently associated with PPCs. Patients with PPCs were more likely to be admitted to the Intensive Care Unit (OR: 12.5, 95\\\\%CI: 6.6-10.1, p{\\\\textless}0.001), had longer hospital Length of stay (sHR: 0.43, 95CI: 0.40-0.45), and higher in-hospital (sHR: 6.0, 95\\\\%CI: 4.1-9.0, p{\\\\textless}0.001) and 1-year mortality (sHR: 2.65, 95\\\\%CI 2.33-3.02, p{\\\\textless}0.001).\\nCONCLUSIONS: In our population, decreased rather than increased tidal volume, decreased compliance, increased mechanical power, and decreased EtCO2 were independently associated with PPCs.},\\n\\tlanguage = {eng},\\n\\tjournal = {Anesthesiology},\\n\\tauthor = {Elefterion, Bertrand and Cirenei, Cedric and Kipnis, Eric and Cailliau, Emeline and Bruandet, Amélie and Tavernier, Benoit and Lamer, Antoine and Lebuffe, Gilles},\\n\\tmonth = nov,\\n\\tyear = {2023},\\n\\tpmid = {38011027},\\n}\\n\\n\",\"author_short\":[\"Elefterion, B.\",\"Cirenei, C.\",\"Kipnis, E.\",\"Cailliau, E.\",\"Bruandet, A.\",\"Tavernier, B.\",\"Lamer, A.\",\"Lebuffe, G.\"],\"key\":\"elefterion_intraoperative_2023\",\"id\":\"elefterion_intraoperative_2023\",\"bibbaseid\":\"elefterion-cirenei-kipnis-cailliau-bruandet-tavernier-lamer-lebuffe-intraoperativemechanicalpowerandpostoperativepulmonarycomplicationsinnoncardiothoracicelectivesurgerypatientsatenyearretrospectivecohortstudy-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Organization of French outpatient psychiatric clinics and delay to appointment\",\"issn\":\"0013-7006\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S0013700623002014\",\"doi\":\"10.1016/j.encep.2023.09.005\",\"abstract\":\"Objectives The goals of the study were to obtain a glimpse of the several types of organization of outpatient psychiatric clinics, as well as an overview of delays between a request for and the first appointment. We also look at geographical variability of appointment scheduling delays and assess the impact of the number of new applications on delays. Methods We analyzed information collected from a phone survey conducted with the 103 adult outpatient psychiatric clinics of the French region Hauts-de-France. This survey had a one-week inclusion period in November 2022 and focused on the organization and delays before obtaining an appointment. Results This study indicates that organizations seem to be homogeneous. Eighty-one outpatient psychiatric clinics (96.4%) receive with scheduled appointments. The initial evaluation by a nurse followed with a proposal for the organization of care seems to be the common practice. It also appears that primary psychiatric structures were capable of providing a response within a reasonable time frame in making a first appointment with a mental health professional. On the other hand, delays were much longer and heterogeneous for first appointments with psychiatrists and psychologists. Conclusions The organizations of the outpatient psychiatric clinics of the French region Hauts-de-France seem homogeneous. The evaluation by a nurse followed with a care proposal is the common practice. Primary psychiatric structures are able to provide a response within a reasonable time, with half the centers proposing an appointment with a nurse within 10.0 days. Résumé Objectifs Les objectifs de l’étude étaient d’obtenir un aperçu des différents types d’organisation des centres médico-psychologiques, ainsi qu’un aperçu des délais entre une demande et le premier rendez-vous. Nous examinons également la variabilité géographique des délais de prise de rendez-vous et évaluons l’impact du nombre de nouvelles demandes sur les délais. Méthodes Nous avons analysé les informations recueillies à partir d’une enquête téléphonique menée auprès des 103 centres médico-psychologiques pour adultes de la région française des Hauts-de-France. Cette enquête avait une période d’inclusion d’une semaine en novembre 2022 et portait sur l’organisation et les délais avant l’obtention d’un rendez-vous. Résultats Cette étude indique que les organisations des centres médico-psychologiques semblent être homogènes. Quatre-vingt-un centres médico-psychologiques (96,4 %) reçoivent avec des rendez-vous programmés. L’évaluation initiale par une infirmière suivie d’une proposition d’organisation des soins semble être la pratique courante. Il apparaît également que les centres médico-psychologiques sont capables de fournir une réponse dans un délai raisonnable pour la prise d’un premier rendez-vous avec un professionnel de la santé mentale. En revanche, les délais sont beaucoup plus longs et hétérogènes pour les premiers rendez-vous avec les psychiatres et les psychologues. Conclusions Les organisations des centres médico-psychologiques des Hauts-de-France semblent homogènes. L’évaluation par un infirmier, suivie d’une proposition des soins semble être la pratique courante. Les structures primaires de psychiatrie sont capables de fournir une réponse dans un délai raisonnable, en proposant un rendez-vous avec un infirmier dans un délai de 10,0jours pour la moitié des centres.\",\"urldate\":\"2023-12-01\",\"journal\":\"L'Encéphale\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Carette\"],\"firstnames\":[\"Fanny\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mobi\"],\"firstnames\":[\"Héléna\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Warembourg\"],\"firstnames\":[\"Isabelle\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Amariei\"],\"firstnames\":[\"Alina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Saint-Dizier\"],\"firstnames\":[\"Chloé\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bubrovszky\"],\"firstnames\":[\"Maxime\"],\"suffixes\":[]}],\"month\":\"November\",\"year\":\"2023\",\"keywords\":\"Care organization, Health facility, Organisation des soins, Outpatient, Psychiatrie, Psychiatry, Soins ambulatoires, Établissement de santé\",\"bibtex\":\"@article{lamer_organization_2023,\\n\\ttitle = {Organization of {French} outpatient psychiatric clinics and delay to appointment},\\n\\tissn = {0013-7006},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S0013700623002014},\\n\\tdoi = {10.1016/j.encep.2023.09.005},\\n\\tabstract = {Objectives\\nThe goals of the study were to obtain a glimpse of the several types of organization of outpatient psychiatric clinics, as well as an overview of delays between a request for and the first appointment. We also look at geographical variability of appointment scheduling delays and assess the impact of the number of new applications on delays.\\nMethods\\nWe analyzed information collected from a phone survey conducted with the 103 adult outpatient psychiatric clinics of the French region Hauts-de-France. This survey had a one-week inclusion period in November 2022 and focused on the organization and delays before obtaining an appointment.\\nResults\\nThis study indicates that organizations seem to be homogeneous. Eighty-one outpatient psychiatric clinics (96.4\\\\%) receive with scheduled appointments. The initial evaluation by a nurse followed with a proposal for the organization of care seems to be the common practice. It also appears that primary psychiatric structures were capable of providing a response within a reasonable time frame in making a first appointment with a mental health professional. On the other hand, delays were much longer and heterogeneous for first appointments with psychiatrists and psychologists.\\nConclusions\\nThe organizations of the outpatient psychiatric clinics of the French region Hauts-de-France seem homogeneous. The evaluation by a nurse followed with a care proposal is the common practice. Primary psychiatric structures are able to provide a response within a reasonable time, with half the centers proposing an appointment with a nurse within 10.0 days.\\nRésumé\\nObjectifs\\nLes objectifs de l’étude étaient d’obtenir un aperçu des différents types d’organisation des centres médico-psychologiques, ainsi qu’un aperçu des délais entre une demande et le premier rendez-vous. Nous examinons également la variabilité géographique des délais de prise de rendez-vous et évaluons l’impact du nombre de nouvelles demandes sur les délais.\\nMéthodes\\nNous avons analysé les informations recueillies à partir d’une enquête téléphonique menée auprès des 103 centres médico-psychologiques pour adultes de la région française des Hauts-de-France. Cette enquête avait une période d’inclusion d’une semaine en novembre 2022 et portait sur l’organisation et les délais avant l’obtention d’un rendez-vous.\\nRésultats\\nCette étude indique que les organisations des centres médico-psychologiques semblent être homogènes. Quatre-vingt-un centres médico-psychologiques (96,4 \\\\%) reçoivent avec des rendez-vous programmés. L’évaluation initiale par une infirmière suivie d’une proposition d’organisation des soins semble être la pratique courante. Il apparaît également que les centres médico-psychologiques sont capables de fournir une réponse dans un délai raisonnable pour la prise d’un premier rendez-vous avec un professionnel de la santé mentale. En revanche, les délais sont beaucoup plus longs et hétérogènes pour les premiers rendez-vous avec les psychiatres et les psychologues.\\nConclusions\\nLes organisations des centres médico-psychologiques des Hauts-de-France semblent homogènes. L’évaluation par un infirmier, suivie d’une proposition des soins semble être la pratique courante. Les structures primaires de psychiatrie sont capables de fournir une réponse dans un délai raisonnable, en proposant un rendez-vous avec un infirmier dans un délai de 10,0jours pour la moitié des centres.},\\n\\turldate = {2023-12-01},\\n\\tjournal = {L'Encéphale},\\n\\tauthor = {Lamer, Antoine and Carette, Fanny and Mobi, Héléna and Warembourg, Isabelle and Amariei, Alina and Saint-Dizier, Chloé and Bubrovszky, Maxime},\\n\\tmonth = nov,\\n\\tyear = {2023},\\n\\tkeywords = {Care organization, Health facility, Organisation des soins, Outpatient, Psychiatrie, Psychiatry, Soins ambulatoires, Établissement de santé},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Carette, F.\",\"Mobi, H.\",\"Warembourg, I.\",\"Amariei, A.\",\"Saint-Dizier, C.\",\"Bubrovszky, M.\"],\"key\":\"lamer_organization_2023\",\"id\":\"lamer_organization_2023\",\"bibbaseid\":\"lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S0013700623002014\"},\"keyword\":[\"Care organization\",\"Health facility\",\"Organisation des soins\",\"Outpatient\",\"Psychiatrie\",\"Psychiatry\",\"Soins ambulatoires\",\"Établissement de santé\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"SARS-CoV-2 vaccination efficacy on hospitalisation and variants\",\"volume\":\"40\",\"issn\":\"2352-5568\",\"url\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/\",\"doi\":\"10.1016/j.accpm.2021.100874\",\"abstract\":\"We report data regarding three countries with similar healthcare systems which had three different vaccinal strategies between 1st of January and 10th of April 2021: rapid full vaccination (Israel), rapid first-dose vaccination (United Kingdom) and a delayed vaccination strategy (France).\",\"number\":\"3\",\"urldate\":\"2023-11-26\",\"journal\":\"Anaesthesia, Critical Care & Pain Medicine\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Rozencwajg\"],\"firstnames\":[\"Sacha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Blet\"],\"firstnames\":[\"Alice\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Clavier\"],\"firstnames\":[\"Thomas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Abou-Arab\"],\"firstnames\":[\"Osama\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sigaut\"],\"firstnames\":[\"Stéphanie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bounes\"],\"firstnames\":[\"Fanny\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"James\"],\"firstnames\":[\"Arthur\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Frasca\"],\"firstnames\":[\"Denis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boisson\"],\"firstnames\":[\"Matthieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Caillard\"],\"firstnames\":[\"Anaïs\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Carillion\"],\"firstnames\":[\"Aude\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fischer\"],\"firstnames\":[\"Marc-Olivier\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2021\",\"pmid\":\"33946037\",\"pmcid\":\"PMC8088124\",\"pages\":\"100874\",\"bibtex\":\"@article{rozencwajg_sars-cov-2_2021,\\n\\ttitle = {{SARS}-{CoV}-2 vaccination efficacy on hospitalisation and variants},\\n\\tvolume = {40},\\n\\tissn = {2352-5568},\\n\\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/},\\n\\tdoi = {10.1016/j.accpm.2021.100874},\\n\\tabstract = {We report data regarding three countries with similar healthcare systems which had three different vaccinal strategies between 1st of January and 10th of April 2021: rapid full vaccination (Israel), rapid first-dose vaccination (United Kingdom) and a delayed vaccination strategy (France).},\\n\\tnumber = {3},\\n\\turldate = {2023-11-26},\\n\\tjournal = {Anaesthesia, Critical Care \\\\& Pain Medicine},\\n\\tauthor = {Rozencwajg, Sacha and Blet, Alice and Lamer, Antoine and Clavier, Thomas and Abou-Arab, Osama and Sigaut, Stéphanie and Bounes, Fanny and James, Arthur and Frasca, Denis and Boisson, Matthieu and Caillard, Anaïs and Carillion, Aude and Fischer, Marc-Olivier},\\n\\tmonth = jun,\\n\\tyear = {2021},\\n\\tpmid = {33946037},\\n\\tpmcid = {PMC8088124},\\n\\tpages = {100874},\\n}\\n\\n\",\"author_short\":[\"Rozencwajg, S.\",\"Blet, A.\",\"Lamer, A.\",\"Clavier, T.\",\"Abou-Arab, O.\",\"Sigaut, S.\",\"Bounes, F.\",\"James, A.\",\"Frasca, D.\",\"Boisson, M.\",\"Caillard, A.\",\"Carillion, A.\",\"Fischer, M.\"],\"key\":\"rozencwajg_sars-cov-2_2021\",\"id\":\"rozencwajg_sars-cov-2_2021\",\"bibbaseid\":\"rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/\"},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"Evidence-Based Usability Database for Medication Alerting Systems.\",\"url\":\"https://hal.science/hal-04146995\",\"urldate\":\"2023-11-24\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"year\":\"2016\",\"note\":\"Publisher: EFMI Published: Medical Informatics in Europe\",\"bibtex\":\"@misc{marcilly_evidence-based_2016,\\n\\ttitle = {Evidence-{Based} {Usability} {Database} for {Medication} {Alerting} {Systems}.},\\n\\turl = {https://hal.science/hal-04146995},\\n\\turldate = {2023-11-24},\\n\\tauthor = {Marcilly, Romaric and Lamer, Antoine},\\n\\tyear = {2016},\\n\\tnote = {Publisher: EFMI\\nPublished: Medical Informatics in Europe},\\n}\\n\\n\",\"author_short\":[\"Marcilly, R.\",\"Lamer, A.\"],\"key\":\"marcilly_evidence-based_2016\",\"id\":\"marcilly_evidence-based_2016\",\"bibbaseid\":\"marcilly-lamer-evidencebasedusabilitydatabaseformedicationalertingsystems-2016\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://hal.science/hal-04146995\"},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"[A descriptive study of psychiatric care and pre-sentencing psychiatric reports in a French high-security prison]\",\"issn\":\"0013-7006\",\"doi\":\"10.1016/j.encep.2021.12.001\",\"abstract\":\"CONTEXT: The high prevalence of psychiatric disorders among people in prison is well documented, and several hypotheses have been proposed to explain this overrepresentation. In France, the decrease in the number of people found by the judge to be not criminally responsible on account of mental disorder after a psychiatric expertise could play a crucial role. The Château-Thierry prison is a high-security correctional facility where prisoners whose integration into a \\\"standard\\\" prison is complicated because of behavioural problems, reside. We conducted the first study to describe the judicial and healthcare trajectories of people incarcerated in this facility. METHOD: All the people incarcerated in the Château-Thierry prison between May and September 2019 were included in this cross-sectional study. In addition to sociodemographic characteristics, data on the psychiatric care before and during incarceration as well as information on the judicial and prison history were collected. We also analyzed all the pre-sentencing psychiatric reports in order to collect the degree of discernment determined by the psychiatrist expert for each included individual. RESULTS: Sixty-eight (97%) of the 70 people detained at the Château-Thierry prison during the study period were included and 92 pre-sentencing psychiatric reports were analyzed. The population studied was exclusively male, with an average age of 40 years, low socio-economic status and frequent criminal history (79%). About half of them (46%) had already been hospitalized in a psychiatric community hospital prior to incarceration, and 79% have been hospitalized in a psychiatric facility during their incarceration. Disciplinary sanctions were frequent (72%) as well as convictions for offenses committed while in prison (57%). When at least one pre-sentencing psychiatric report was carried out (29 persons had a single psychiatric forensic evaluation and 27 ones had multiple evaluations), at least one psychiatric expert had concluded to a diminished (but not lack of) criminal responsibility in almost half of the cases (44%). CONCLUSION: This study shows the extent to which people incarcerated in the Château-Thierry prison are affected by psychiatric disorders. It also highlights the difficulties of coping with the prison environment for people suffering from psychiatric disorders. Finally, it raises the question of the lack of diversion programs for the individuals in France with mental health problems whose responsibility has been considered as full or diminished.\",\"language\":\"fre\",\"journal\":\"L'Encephale\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Beigné\"],\"firstnames\":[\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Eck\"],\"firstnames\":[\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Horn\"],\"firstnames\":[\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Benbouriche\"],\"firstnames\":[\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Thomas\"],\"firstnames\":[\"P.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Amad\"],\"firstnames\":[\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fovet\"],\"firstnames\":[\"T.\"],\"suffixes\":[]}],\"month\":\"March\",\"year\":\"2022\",\"pmid\":\"35331468\",\"keywords\":\"Diminished criminal responsibility, Expertise psychiatrique pré-sentencielle, Irresponsabilité pénale, Lack of criminal responsibility, Milieu carcéral, Parcours de soins, Pre-sentencing psychiatric report, Prison environment, Psychiatric care, Psychiatric expertise, Troubles psychiatriques\",\"pages\":\"S0013–7006(22)00031–8\",\"bibtex\":\"@article{beigne_descriptive_2022,\\n\\ttitle = {[{A} descriptive study of psychiatric care and pre-sentencing psychiatric reports in a {French} high-security prison]},\\n\\tissn = {0013-7006},\\n\\tdoi = {10.1016/j.encep.2021.12.001},\\n\\tabstract = {CONTEXT: The high prevalence of psychiatric disorders among people in prison is well documented, and several hypotheses have been proposed to explain this overrepresentation. In France, the decrease in the number of people found by the judge to be not criminally responsible on account of mental disorder after a psychiatric expertise could play a crucial role. The Château-Thierry prison is a high-security correctional facility where prisoners whose integration into a \\\"standard\\\" prison is complicated because of behavioural problems, reside. We conducted the first study to describe the judicial and healthcare trajectories of people incarcerated in this facility.\\nMETHOD: All the people incarcerated in the Château-Thierry prison between May and September 2019 were included in this cross-sectional study. In addition to sociodemographic characteristics, data on the psychiatric care before and during incarceration as well as information on the judicial and prison history were collected. We also analyzed all the pre-sentencing psychiatric reports in order to collect the degree of discernment determined by the psychiatrist expert for each included individual.\\nRESULTS: Sixty-eight (97\\\\%) of the 70 people detained at the Château-Thierry prison during the study period were included and 92 pre-sentencing psychiatric reports were analyzed. The population studied was exclusively male, with an average age of 40 years, low socio-economic status and frequent criminal history (79\\\\%). About half of them (46\\\\%) had already been hospitalized in a psychiatric community hospital prior to incarceration, and 79\\\\% have been hospitalized in a psychiatric facility during their incarceration. Disciplinary sanctions were frequent (72\\\\%) as well as convictions for offenses committed while in prison (57\\\\%). When at least one pre-sentencing psychiatric report was carried out (29 persons had a single psychiatric forensic evaluation and 27 ones had multiple evaluations), at least one psychiatric expert had concluded to a diminished (but not lack of) criminal responsibility in almost half of the cases (44\\\\%).\\nCONCLUSION: This study shows the extent to which people incarcerated in the Château-Thierry prison are affected by psychiatric disorders. It also highlights the difficulties of coping with the prison environment for people suffering from psychiatric disorders. Finally, it raises the question of the lack of diversion programs for the individuals in France with mental health problems whose responsibility has been considered as full or diminished.},\\n\\tlanguage = {fre},\\n\\tjournal = {L'Encephale},\\n\\tauthor = {Beigné, M. and Lamer, A. and Eck, M. and Horn, M. and Benbouriche, M. and Thomas, P. and Amad, A. and Fovet, T.},\\n\\tmonth = mar,\\n\\tyear = {2022},\\n\\tpmid = {35331468},\\n\\tkeywords = {Diminished criminal responsibility, Expertise psychiatrique pré-sentencielle, Irresponsabilité pénale, Lack of criminal responsibility, Milieu carcéral, Parcours de soins, Pre-sentencing psychiatric report, Prison environment, Psychiatric care, Psychiatric expertise, Troubles psychiatriques},\\n\\tpages = {S0013--7006(22)00031--8},\\n}\\n\\n\",\"author_short\":[\"Beigné, M.\",\"Lamer, A.\",\"Eck, M.\",\"Horn, M.\",\"Benbouriche, M.\",\"Thomas, P.\",\"Amad, A.\",\"Fovet, T.\"],\"key\":\"beigne_descriptive_2022\",\"id\":\"beigne_descriptive_2022\",\"bibbaseid\":\"beign-lamer-eck-horn-benbouriche-thomas-amad-fovet-adescriptivestudyofpsychiatriccareandpresentencingpsychiatricreportsinafrenchhighsecurityprison-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Diminished criminal responsibility\",\"Expertise psychiatrique pré-sentencielle\",\"Irresponsabilité pénale\",\"Lack of criminal responsibility\",\"Milieu carcéral\",\"Parcours de soins\",\"Pre-sentencing psychiatric report\",\"Prison environment\",\"Psychiatric care\",\"Psychiatric expertise\",\"Troubles psychiatriques\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Opening the black box of hospitalizations in French high-secure psychiatric forensic units\",\"issn\":\"0013-7006\",\"doi\":\"10.1016/j.encep.2023.04.008\",\"abstract\":\"INTRODUCTION: Basic epidemiological data are rare concerning the activity of specialized forensic psychiatric facilities in France. Here, we investigated the activity of the ten (640 beds) French \\\"units for difficult patients\\\" (unités pour malades difficiles [UMDs]). METHOD: We used the Programme de médicalisation des systèmes d'information (PMSI) database to describe the characteristics and evolution of psychiatric hospitalisations in UMDs between 2012 and 2021, as well as the age, sex, and principal diagnoses of the patients hospitalized in these facilities. RESULTS: Between 2012 and 2021, 4857 patients were hospitalized in UMDs (6082 stays). Among them, 897 (18.5%) had more than one stay. The number of admissions ranged from a minimum of 434 to a maximum of 632 per year. The number of discharges ranged from a minimum of 473 to a maximum of 609 per year. The mean length of stay was 13.5 (SD: 22.64) months with a median of 7.3 months (IQR: 4.0-14.4). Among the 6082 stays, 5721 (94.1%) involved male patients. The median age was 33 (IQR: 26-41) years. The most frequent principal psychiatric diagnoses were psychotic disorders and personality disorders. CONCLUSION: The number of individuals hospitalized in specialized forensic psychiatric facilities has been stable for 10 years in France and remains lower than in most European countries.\",\"language\":\"eng\",\"journal\":\"L'Encephale\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Fovet\"],\"firstnames\":[\"Thomas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Saint-Dizier\"],\"firstnames\":[\"Chloé\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wathelet\"],\"firstnames\":[\"Marielle\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Horn\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Thomas\"],\"firstnames\":[\"Pierre\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Guillin\"],\"firstnames\":[\"Olivier\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Coldefy\"],\"firstnames\":[\"Magali\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"D'Hondt\"],\"firstnames\":[\"Fabien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Amad\"],\"firstnames\":[\"Ali\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"pmid\":\"37246100\",\"keywords\":\"Data reuse, Forensic psychiatry, France, Psychiatrie légale, Réutilisation des données, Unité pour malades difficiles\",\"pages\":\"S0013–7006(23)00079–9\",\"bibtex\":\"@article{fovet_opening_2023,\\n\\ttitle = {Opening the black box of hospitalizations in {French} high-secure psychiatric forensic units},\\n\\tissn = {0013-7006},\\n\\tdoi = {10.1016/j.encep.2023.04.008},\\n\\tabstract = {INTRODUCTION: Basic epidemiological data are rare concerning the activity of specialized forensic psychiatric facilities in France. Here, we investigated the activity of the ten (640 beds) French \\\"units for difficult patients\\\" (unités pour malades difficiles [UMDs]).\\nMETHOD: We used the Programme de médicalisation des systèmes d'information (PMSI) database to describe the characteristics and evolution of psychiatric hospitalisations in UMDs between 2012 and 2021, as well as the age, sex, and principal diagnoses of the patients hospitalized in these facilities.\\nRESULTS: Between 2012 and 2021, 4857 patients were hospitalized in UMDs (6082 stays). Among them, 897 (18.5\\\\%) had more than one stay. The number of admissions ranged from a minimum of 434 to a maximum of 632 per year. The number of discharges ranged from a minimum of 473 to a maximum of 609 per year. The mean length of stay was 13.5 (SD: 22.64) months with a median of 7.3 months (IQR: 4.0-14.4). Among the 6082 stays, 5721 (94.1\\\\%) involved male patients. The median age was 33 (IQR: 26-41) years. The most frequent principal psychiatric diagnoses were psychotic disorders and personality disorders.\\nCONCLUSION: The number of individuals hospitalized in specialized forensic psychiatric facilities has been stable for 10 years in France and remains lower than in most European countries.},\\n\\tlanguage = {eng},\\n\\tjournal = {L'Encephale},\\n\\tauthor = {Fovet, Thomas and Saint-Dizier, Chloé and Wathelet, Marielle and Horn, Mathilde and Thomas, Pierre and Guillin, Olivier and Coldefy, Magali and D'Hondt, Fabien and Amad, Ali and Lamer, Antoine},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tpmid = {37246100},\\n\\tkeywords = {Data reuse, Forensic psychiatry, France, Psychiatrie légale, Réutilisation des données, Unité pour malades difficiles},\\n\\tpages = {S0013--7006(23)00079--9},\\n}\\n\\n\",\"author_short\":[\"Fovet, T.\",\"Saint-Dizier, C.\",\"Wathelet, M.\",\"Horn, M.\",\"Thomas, P.\",\"Guillin, O.\",\"Coldefy, M.\",\"D'Hondt, F.\",\"Amad, A.\",\"Lamer, A.\"],\"key\":\"fovet_opening_2023\",\"id\":\"fovet_opening_2023\",\"bibbaseid\":\"fovet-saintdizier-wathelet-horn-thomas-guillin-coldefy-dhondt-etal-openingtheblackboxofhospitalizationsinfrenchhighsecurepsychiatricforensicunits-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data reuse\",\"Forensic psychiatry\",\"France\",\"Psychiatrie légale\",\"Réutilisation des données\",\"Unité pour malades difficiles\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Implementation of a Data Warehouse in Primary Care: First Analyses with Elderly Patients\",\"volume\":\"294\",\"issn\":\"1879-8365\",\"shorttitle\":\"Implementation of a Data Warehouse in Primary Care\",\"url\":\"https://pubmed.ncbi.nlm.nih.gov/35612131/\",\"doi\":\"10.3233/SHTI220510\",\"abstract\":\"The implementation of clinical data warehouses has advanced in recent years. The standardization of clinical data in these warehouses has made it possible to carry out multicenter studies and to formalize the clinical vocabulary. However, there is limited insight into a patient's overall care pathwa …\",\"language\":\"en\",\"urldate\":\"2023-11-21\",\"journal\":\"Studies in health technology and informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"M\"],\"firstnames\":[\"Fruchart\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"P\"],\"firstnames\":[\"Quindroit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"H\"],\"firstnames\":[\"Patel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jb\"],\"firstnames\":[\"Beuscart\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"M\"],\"firstnames\":[\"Calafiore\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"A\"],\"firstnames\":[\"Lamer\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2022\",\"pmid\":\"35612131\",\"note\":\"Publisher: Stud Health Technol Inform\",\"bibtex\":\"@article{m_implementation_2022,\\n\\ttitle = {Implementation of a {Data} {Warehouse} in {Primary} {Care}: {First} {Analyses} with {Elderly} {Patients}},\\n\\tvolume = {294},\\n\\tissn = {1879-8365},\\n\\tshorttitle = {Implementation of a {Data} {Warehouse} in {Primary} {Care}},\\n\\turl = {https://pubmed.ncbi.nlm.nih.gov/35612131/},\\n\\tdoi = {10.3233/SHTI220510},\\n\\tabstract = {The implementation of clinical data warehouses has advanced in recent years. The standardization of clinical data in these warehouses has made it possible to carry out multicenter studies and to formalize the clinical vocabulary. However, there is limited insight into a patient's overall care pathwa …},\\n\\tlanguage = {en},\\n\\turldate = {2023-11-21},\\n\\tjournal = {Studies in health technology and informatics},\\n\\tauthor = {M, Fruchart and P, Quindroit and H, Patel and Jb, Beuscart and M, Calafiore and A, Lamer},\\n\\tmonth = may,\\n\\tyear = {2022},\\n\\tpmid = {35612131},\\n\\tnote = {Publisher: Stud Health Technol Inform},\\n}\\n\\n\",\"author_short\":[\"M, F.\",\"P, Q.\",\"H, P.\",\"Jb, B.\",\"M, C.\",\"A, L.\"],\"key\":\"m_implementation_2022\",\"id\":\"m_implementation_2022\",\"bibbaseid\":\"m-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://pubmed.ncbi.nlm.nih.gov/35612131/\"},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Automated Generation of Individual and Population Clinical Pathways with the OMOP Common Data Model\",\"volume\":\"281\",\"issn\":\"1879-8365\",\"doi\":\"10.3233/SHTI210152\",\"abstract\":\"INTRODUCTION: Clinical pathways represents the sequence of interventions from which the patients benefit during their encounters with health care structures. There are several complex issues which make it difficult to represent these pathways (e.g. high numbers of patients, heterogeneity of variables). METHODS: We developed a tool to automate the representation of clinical pathways, from an individual and population points of view, and based on the OMOP CDM. The tool implemented the Sankey diagram in three stages: (i) data extraction, (ii) generation of individual sequence of steps and (iii) aggregation of sequence to obtain the population-level diagram. We tested the tool with three surgery procedures: the total hip replacement, the coronary bypass and the transcatheter aortic valve implantation. RESULTS: The tool provided different ways of visualizing pathways depending on the question asked: a pathway before a surgery, the pathway of deceased patients or the complete pathway with different steps of interest. DISCUSSION: We proposed a tool automating the representation of the clinical pathways, and reducing complexity of visualization. Representations are detailed from an individual and population points of view. It has been tested with three surgical procedures. The tool functionalities will be extended to cover a greater number of use cases.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Boudis\"],\"firstnames\":[\"Fabio\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Clement\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bruandet\"],\"firstnames\":[\"Amelie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2021\",\"pmid\":\"34042737\",\"keywords\":\"Data reuse, Data visualization, OMOP, Pathway, Sankey diagram\",\"pages\":\"218–222\",\"bibtex\":\"@article{boudis_automated_2021,\\n\\ttitle = {Automated {Generation} of {Individual} and {Population} {Clinical} {Pathways} with the {OMOP} {Common} {Data} {Model}},\\n\\tvolume = {281},\\n\\tissn = {1879-8365},\\n\\tdoi = {10.3233/SHTI210152},\\n\\tabstract = {INTRODUCTION: Clinical pathways represents the sequence of interventions from which the patients benefit during their encounters with health care structures. There are several complex issues which make it difficult to represent these pathways (e.g. high numbers of patients, heterogeneity of variables).\\nMETHODS: We developed a tool to automate the representation of clinical pathways, from an individual and population points of view, and based on the OMOP CDM. The tool implemented the Sankey diagram in three stages: (i) data extraction, (ii) generation of individual sequence of steps and (iii) aggregation of sequence to obtain the population-level diagram. We tested the tool with three surgery procedures: the total hip replacement, the coronary bypass and the transcatheter aortic valve implantation.\\nRESULTS: The tool provided different ways of visualizing pathways depending on the question asked: a pathway before a surgery, the pathway of deceased patients or the complete pathway with different steps of interest.\\nDISCUSSION: We proposed a tool automating the representation of the clinical pathways, and reducing complexity of visualization. Representations are detailed from an individual and population points of view. It has been tested with three surgical procedures. The tool functionalities will be extended to cover a greater number of use cases.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Boudis, Fabio and Clement, Guillaume and Bruandet, Amelie and Lamer, Antoine},\\n\\tmonth = may,\\n\\tyear = {2021},\\n\\tpmid = {34042737},\\n\\tkeywords = {Data reuse, Data visualization, OMOP, Pathway, Sankey diagram},\\n\\tpages = {218--222},\\n}\\n\\n\",\"author_short\":[\"Boudis, F.\",\"Clement, G.\",\"Bruandet, A.\",\"Lamer, A.\"],\"key\":\"boudis_automated_2021\",\"id\":\"boudis_automated_2021\",\"bibbaseid\":\"boudis-clement-bruandet-lamer-automatedgenerationofindividualandpopulationclinicalpathwayswiththeomopcommondatamodel-2021\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data reuse\",\"Data visualization\",\"OMOP\",\"Pathway\",\"Sankey diagram\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"downloads\":4,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Exploring Patient Path Through Sankey Diagram: A Proof of Concept\",\"volume\":\"270\",\"issn\":\"1879-8365\",\"shorttitle\":\"Exploring Patient Path Through Sankey Diagram\",\"doi\":\"10.3233/SHTI200154\",\"abstract\":\"Managers, physicians and researchers need to study patient's path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the trajectory of a population that experienced an event. This representation was tested with two case studies in populations from the anesthesia data warehouse of Lille University Hospital. For the 551 patients undergoing a pancreaticoduodenectomy, Sankey diagram helped us identify atypical care paths of patient being transferred too late in an intensive care unit. For 473953 patients who have had anesthesia procedure, Sankey diagram highlighted that mortality and re-operation rates increase with the number of operations. This preliminary work has been well received by end-users and allowed managers, physicians and researchers to visualize the paths of patients and to provide visualization support for research questions. This work will be followed by generalization.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Laurent\"],\"firstnames\":[\"Gery\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Pelayo\"],\"firstnames\":[\"Sylvia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"El\",\"Amrani\"],\"firstnames\":[\"Mehdi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2020\",\"pmid\":\"32570378\",\"keywords\":\"Data Reuse, Data Visualization, Data Warehousing, Humans, Intensive Care Units, Pancreaticoduodenectomy, Patient Care Management, Patient Path, Physicians, Quality of Health Care, Sankey Diagram\",\"pages\":\"218–222\",\"bibtex\":\"@article{lamer_exploring_2020,\\n\\ttitle = {Exploring {Patient} {Path} {Through} {Sankey} {Diagram}: {A} {Proof} of {Concept}},\\n\\tvolume = {270},\\n\\tissn = {1879-8365},\\n\\tshorttitle = {Exploring {Patient} {Path} {Through} {Sankey} {Diagram}},\\n\\tdoi = {10.3233/SHTI200154},\\n\\tabstract = {Managers, physicians and researchers need to study patient's path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the trajectory of a population that experienced an event. This representation was tested with two case studies in populations from the anesthesia data warehouse of Lille University Hospital. For the 551 patients undergoing a pancreaticoduodenectomy, Sankey diagram helped us identify atypical care paths of patient being transferred too late in an intensive care unit. For 473953 patients who have had anesthesia procedure, Sankey diagram highlighted that mortality and re-operation rates increase with the number of operations. This preliminary work has been well received by end-users and allowed managers, physicians and researchers to visualize the paths of patients and to provide visualization support for research questions. This work will be followed by generalization.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Lamer, Antoine and Laurent, Gery and Pelayo, Sylvia and El Amrani, Mehdi and Chazard, Emmanuel and Marcilly, Romaric},\\n\\tmonth = jun,\\n\\tyear = {2020},\\n\\tpmid = {32570378},\\n\\tkeywords = {Data Reuse, Data Visualization, Data Warehousing, Humans, Intensive Care Units, Pancreaticoduodenectomy, Patient Care Management, Patient Path, Physicians, Quality of Health Care, Sankey Diagram},\\n\\tpages = {218--222},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Laurent, G.\",\"Pelayo, S.\",\"El Amrani, M.\",\"Chazard, E.\",\"Marcilly, R.\"],\"key\":\"lamer_exploring_2020\",\"id\":\"lamer_exploring_2020\",\"bibbaseid\":\"lamer-laurent-pelayo-elamrani-chazard-marcilly-exploringpatientpaththroughsankeydiagramaproofofconcept-2020\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data Reuse\",\"Data Visualization\",\"Data Warehousing\",\"Humans\",\"Intensive Care Units\",\"Pancreaticoduodenectomy\",\"Patient Care Management\",\"Patient Path\",\"Physicians\",\"Quality of Health Care\",\"Sankey Diagram\"],\"metadata\":{\"authorlinks\":{\"chazard, e\":\"http://www.chazard.org/emmanuel/publications.htm\",\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse\",\"volume\":\"221\",\"issn\":\"0926-9630\",\"shorttitle\":\"Automated Data Aggregation for Time-Series Analysis\",\"abstract\":\"Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jeanne\"],\"firstnames\":[\"Mathieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ficheur\"],\"firstnames\":[\"Grégoire\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]}],\"year\":\"2016\",\"pmid\":\"27071886\",\"pages\":\"102–106\",\"bibtex\":\"@article{lamer_automated_2016,\\n\\ttitle = {Automated {Data} {Aggregation} for {Time}-{Series} {Analysis}: {Study} {Case} on {Anaesthesia} {Data} {Warehouse}},\\n\\tvolume = {221},\\n\\tissn = {0926-9630},\\n\\tshorttitle = {Automated {Data} {Aggregation} for {Time}-{Series} {Analysis}},\\n\\tabstract = {Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Lamer, Antoine and Jeanne, Mathieu and Ficheur, Grégoire and Marcilly, Romaric},\\n\\tyear = {2016},\\n\\tpmid = {27071886},\\n\\tpages = {102--106},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Jeanne, M.\",\"Ficheur, G.\",\"Marcilly, R.\"],\"key\":\"lamer_automated_2016\",\"id\":\"lamer_automated_2016\",\"bibbaseid\":\"lamer-jeanne-ficheur-marcilly-automateddataaggregationfortimeseriesanalysisstudycaseonanaesthesiadatawarehouse-2016\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study\",\"volume\":\"9\",\"issn\":\"2291-9694\",\"shorttitle\":\"Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model\",\"doi\":\"10.2196/30970\",\"abstract\":\"BACKGROUND: In the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) is the first open access database in the ICU domain. Many studies have shown that common data models (CDMs) improve database searching by allowing code, tools, and experience to be shared. The Observational Medical Outcomes Partnership (OMOP) CDM is spreading all over the world. OBJECTIVE: The objective was to transform MIMIC into an OMOP database and to evaluate the benefits of this transformation for analysts. METHODS: We transformed MIMIC (version 1.4.21) into OMOP format (version 5.3.3.1) through semantic and structural mapping. The structural mapping aimed at moving the MIMIC data into the right place in OMOP, with some data transformations. The mapping was divided into 3 phases: conception, implementation, and evaluation. The conceptual mapping aimed at aligning the MIMIC local terminologies to OMOP's standard ones. It consisted of 3 phases: integration, alignment, and evaluation. A documented, tested, versioned, exemplified, and open repository was set up to support the transformation and improvement of the MIMIC community's source code. The resulting data set was evaluated over a 48-hour datathon. RESULTS: With an investment of 2 people for 500 hours, 64% of the data items of the 26 MIMIC tables were standardized into the OMOP CDM and 78% of the source concepts mapped to reference terminologies. The model proved its ability to support community contributions and was well received during the datathon, with 160 participants and 15,000 requests executed with a maximum duration of 1 minute. CONCLUSIONS: The resulting MIMIC-OMOP data set is the first MIMIC-OMOP data set available free of charge with real disidentified data ready for replicable intensive care research. This approach can be generalized to any medical field.\",\"language\":\"eng\",\"number\":\"12\",\"journal\":\"JMIR medical informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Paris\"],\"firstnames\":[\"Nicolas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Parrot\"],\"firstnames\":[\"Adrien\"],\"suffixes\":[]}],\"month\":\"December\",\"year\":\"2021\",\"pmid\":\"34904958\",\"keywords\":\"OMOP, big data, common data model, critical care, data reuse, digital health, electronic health records, health care, health data, health database, health informatics, intensive care, machine learning, open access database, open data\",\"pages\":\"e30970\",\"bibtex\":\"@article{paris_transformation_2021,\\n\\ttitle = {Transformation and {Evaluation} of the {MIMIC} {Database} in the {OMOP} {Common} {Data} {Model}: {Development} and {Usability} {Study}},\\n\\tvolume = {9},\\n\\tissn = {2291-9694},\\n\\tshorttitle = {Transformation and {Evaluation} of the {MIMIC} {Database} in the {OMOP} {Common} {Data} {Model}},\\n\\tdoi = {10.2196/30970},\\n\\tabstract = {BACKGROUND: In the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) is the first open access database in the ICU domain. Many studies have shown that common data models (CDMs) improve database searching by allowing code, tools, and experience to be shared. The Observational Medical Outcomes Partnership (OMOP) CDM is spreading all over the world.\\nOBJECTIVE: The objective was to transform MIMIC into an OMOP database and to evaluate the benefits of this transformation for analysts.\\nMETHODS: We transformed MIMIC (version 1.4.21) into OMOP format (version 5.3.3.1) through semantic and structural mapping. The structural mapping aimed at moving the MIMIC data into the right place in OMOP, with some data transformations. The mapping was divided into 3 phases: conception, implementation, and evaluation. The conceptual mapping aimed at aligning the MIMIC local terminologies to OMOP's standard ones. It consisted of 3 phases: integration, alignment, and evaluation. A documented, tested, versioned, exemplified, and open repository was set up to support the transformation and improvement of the MIMIC community's source code. The resulting data set was evaluated over a 48-hour datathon.\\nRESULTS: With an investment of 2 people for 500 hours, 64\\\\% of the data items of the 26 MIMIC tables were standardized into the OMOP CDM and 78\\\\% of the source concepts mapped to reference terminologies. The model proved its ability to support community contributions and was well received during the datathon, with 160 participants and 15,000 requests executed with a maximum duration of 1 minute.\\nCONCLUSIONS: The resulting MIMIC-OMOP data set is the first MIMIC-OMOP data set available free of charge with real disidentified data ready for replicable intensive care research. This approach can be generalized to any medical field.},\\n\\tlanguage = {eng},\\n\\tnumber = {12},\\n\\tjournal = {JMIR medical informatics},\\n\\tauthor = {Paris, Nicolas and Lamer, Antoine and Parrot, Adrien},\\n\\tmonth = dec,\\n\\tyear = {2021},\\n\\tpmid = {34904958},\\n\\tkeywords = {OMOP, big data, common data model, critical care, data reuse, digital health, electronic health records, health care, health data, health database, health informatics, intensive care, machine learning, open access database, open data},\\n\\tpages = {e30970},\\n}\\n\\n\",\"author_short\":[\"Paris, N.\",\"Lamer, A.\",\"Parrot, A.\"],\"key\":\"paris_transformation_2021\",\"id\":\"paris_transformation_2021\",\"bibbaseid\":\"paris-lamer-parrot-transformationandevaluationofthemimicdatabaseintheomopcommondatamodeldevelopmentandusabilitystudy-2021\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"OMOP\",\"big data\",\"common data model\",\"critical care\",\"data reuse\",\"digital health\",\"electronic health records\",\"health care\",\"health data\",\"health database\",\"health informatics\",\"intensive care\",\"machine learning\",\"open access database\",\"open data\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"The Relationship between the Immigrant Rate and Health Status in the General Population in France\",\"volume\":\"11\",\"issn\":\"2075-4426\",\"doi\":\"10.3390/jpm11070627\",\"abstract\":\"Mostly studied at the individual level, the analysis of immigrants' health status at a populational level may provide a different perspective to investigate, including social determinants as part of the explanation of the relationship between them and health status in France. We analyzed freely accessible databases curated by French public bodies. The dependent variables were death rate and mean age at death. Immigrant rate and covariates associated with either of the outcomes were explored in univariate and multivariate models. Linear models were used to explain the mean age at death, whereas tobit models were used to explain the death rate. The immigrant rate varied markedly from one department to another, as did healthcare accessibility, population's age profile, and economic covariates. Considering univariate models, almost all the studied covariates were significantly associated with comes. The immigrant rate was associated with a lower death rate and a lower age at death. In multivariate models, the immigrant rate was no longer associated with age at death but was still negatively associated with the death rate. In France, the departments with a higher proportion of immigrants were those with a lower death rate, possibly because immigrants are attracted to economically thriving areas.\",\"language\":\"eng\",\"number\":\"7\",\"journal\":\"Journal of Personalized Medicine\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Perrot\"],\"firstnames\":[\"Jeanne\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hamel\"],\"firstnames\":[\"Jean-François\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Levaillant\"],\"firstnames\":[\"Mathieu\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2021\",\"pmid\":\"34209284\",\"pmcid\":\"PMC8306287\",\"keywords\":\"health determinants, health inequality, immigrant, poverty\",\"pages\":\"627\",\"bibtex\":\"@article{perrot_relationship_2021,\\n\\ttitle = {The {Relationship} between the {Immigrant} {Rate} and {Health} {Status} in the {General} {Population} in {France}},\\n\\tvolume = {11},\\n\\tissn = {2075-4426},\\n\\tdoi = {10.3390/jpm11070627},\\n\\tabstract = {Mostly studied at the individual level, the analysis of immigrants' health status at a populational level may provide a different perspective to investigate, including social determinants as part of the explanation of the relationship between them and health status in France. We analyzed freely accessible databases curated by French public bodies. The dependent variables were death rate and mean age at death. Immigrant rate and covariates associated with either of the outcomes were explored in univariate and multivariate models. Linear models were used to explain the mean age at death, whereas tobit models were used to explain the death rate. The immigrant rate varied markedly from one department to another, as did healthcare accessibility, population's age profile, and economic covariates. Considering univariate models, almost all the studied covariates were significantly associated with comes. The immigrant rate was associated with a lower death rate and a lower age at death. In multivariate models, the immigrant rate was no longer associated with age at death but was still negatively associated with the death rate. In France, the departments with a higher proportion of immigrants were those with a lower death rate, possibly because immigrants are attracted to economically thriving areas.},\\n\\tlanguage = {eng},\\n\\tnumber = {7},\\n\\tjournal = {Journal of Personalized Medicine},\\n\\tauthor = {Perrot, Jeanne and Hamel, Jean-François and Lamer, Antoine and Levaillant, Mathieu},\\n\\tmonth = jun,\\n\\tyear = {2021},\\n\\tpmid = {34209284},\\n\\tpmcid = {PMC8306287},\\n\\tkeywords = {health determinants, health inequality, immigrant, poverty},\\n\\tpages = {627},\\n}\\n\\n\",\"author_short\":[\"Perrot, J.\",\"Hamel, J.\",\"Lamer, A.\",\"Levaillant, M.\"],\"key\":\"perrot_relationship_2021\",\"id\":\"perrot_relationship_2021\",\"bibbaseid\":\"perrot-hamel-lamer-levaillant-therelationshipbetweentheimmigrantrateandhealthstatusinthegeneralpopulationinfrance-2021\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"health determinants\",\"health inequality\",\"immigrant\",\"poverty\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series: Proposal for an adaptable algorithm\",\"volume\":\"129\",\"issn\":\"1872-7565\",\"shorttitle\":\"Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series\",\"doi\":\"10.1016/j.cmpb.2016.01.004\",\"abstract\":\"Abnormal values of vital parameters such as hypotension or tachycardia may occur during anesthesia and may be detected by analyzing time-series data collected during the procedure by the Anesthesia Information Management System. When crossed with other data from the Hospital Information System, abnormal values of vital parameters have been linked with postoperative morbidity and mortality. However, methods for the automatic detection of these events are poorly documented in the literature and differ between studies, making it difficult to reproduce results. In this paper, we propose a methodology for the automatic detection of abnormal values of vital parameters. This methodology uses an algorithm allowing the configuration of threshold values for any vital parameters as well as the management of missing data. Four examples illustrate the application of the algorithm, after which it is applied to three vital signs (heart rate, SpO2, and mean arterial pressure) to all 2014 anesthetic records at our institution.\",\"language\":\"eng\",\"journal\":\"Computer Methods and Programs in Biomedicine\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jeanne\"],\"firstnames\":[\"Mathieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kipnis\"],\"firstnames\":[\"Eric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Schiro\"],\"firstnames\":[\"Jessica\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Logier\"],\"firstnames\":[\"Régis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tavernier\"],\"firstnames\":[\"Benoît\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2016\",\"pmid\":\"26817405\",\"keywords\":\"Algorithm, Anesthesia, Medical Informatics, Medical informatics, Time-series data analysis\",\"pages\":\"160–171\",\"bibtex\":\"@article{lamer_methodology_2016,\\n\\ttitle = {Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series: {Proposal} for an adaptable algorithm},\\n\\tvolume = {129},\\n\\tissn = {1872-7565},\\n\\tshorttitle = {Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series},\\n\\tdoi = {10.1016/j.cmpb.2016.01.004},\\n\\tabstract = {Abnormal values of vital parameters such as hypotension or tachycardia may occur during anesthesia and may be detected by analyzing time-series data collected during the procedure by the Anesthesia Information Management System. When crossed with other data from the Hospital Information System, abnormal values of vital parameters have been linked with postoperative morbidity and mortality. However, methods for the automatic detection of these events are poorly documented in the literature and differ between studies, making it difficult to reproduce results. In this paper, we propose a methodology for the automatic detection of abnormal values of vital parameters. This methodology uses an algorithm allowing the configuration of threshold values for any vital parameters as well as the management of missing data. Four examples illustrate the application of the algorithm, after which it is applied to three vital signs (heart rate, SpO2, and mean arterial pressure) to all 2014 anesthetic records at our institution.},\\n\\tlanguage = {eng},\\n\\tjournal = {Computer Methods and Programs in Biomedicine},\\n\\tauthor = {Lamer, Antoine and Jeanne, Mathieu and Marcilly, Romaric and Kipnis, Eric and Schiro, Jessica and Logier, Régis and Tavernier, Benoît},\\n\\tmonth = jun,\\n\\tyear = {2016},\\n\\tpmid = {26817405},\\n\\tkeywords = {Algorithm, Anesthesia, Medical Informatics, Medical informatics, Time-series data analysis},\\n\\tpages = {160--171},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Jeanne, M.\",\"Marcilly, R.\",\"Kipnis, E.\",\"Schiro, J.\",\"Logier, R.\",\"Tavernier, B.\"],\"key\":\"lamer_methodology_2016\",\"id\":\"lamer_methodology_2016\",\"bibbaseid\":\"lamer-jeanne-marcilly-kipnis-schiro-logier-tavernier-methodologytoautomaticallydetectabnormalvaluesofvitalparametersinanesthesiatimeseriesproposalforanadaptablealgorithm-2016\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Algorithm\",\"Anesthesia\",\"Medical Informatics\",\"Medical informatics\",\"Time-series data analysis\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Impact of COVID-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups: a French nationwide study\",\"issn\":\"1469-8978\",\"shorttitle\":\"Impact of COVID-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups\",\"doi\":\"10.1017/S0033291721004839\",\"abstract\":\"BACKGROUND: Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years. METHODS: A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period. RESULTS: Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude. CONCLUSIONS: Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.\",\"language\":\"eng\",\"journal\":\"Psychological Medicine\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Levaillant\"],\"firstnames\":[\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Wathelet\"],\"firstnames\":[\"M.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"A.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Riquin\"],\"firstnames\":[\"E.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gohier\"],\"firstnames\":[\"B.\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hamel-Broza\"],\"firstnames\":[\"J.-F.\"],\"suffixes\":[]}],\"month\":\"December\",\"year\":\"2021\",\"pmid\":\"34904556\",\"pmcid\":\"PMC8692848\",\"keywords\":\"Adolescent, Anti-Anxiety Agents, Antidepressive Agents, COVID-19, Cohort Studies, Communicable Disease Control, Humans, Hypnotics and Sedatives, Infant, Newborn, Pandemics, Young Adult, mental health, pharmacoepidemiology, psychiatry, psychotropic drugs\",\"pages\":\"1–7\",\"bibtex\":\"@article{levaillant_impact_2021,\\n\\ttitle = {Impact of {COVID}-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups: a {French} nationwide study},\\n\\tissn = {1469-8978},\\n\\tshorttitle = {Impact of {COVID}-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups},\\n\\tdoi = {10.1017/S0033291721004839},\\n\\tabstract = {BACKGROUND: Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years.\\nMETHODS: A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period.\\nRESULTS: Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude.\\nCONCLUSIONS: Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.},\\n\\tlanguage = {eng},\\n\\tjournal = {Psychological Medicine},\\n\\tauthor = {Levaillant, M. and Wathelet, M. and Lamer, A. and Riquin, E. and Gohier, B. and Hamel-Broza, J.-F.},\\n\\tmonth = dec,\\n\\tyear = {2021},\\n\\tpmid = {34904556},\\n\\tpmcid = {PMC8692848},\\n\\tkeywords = {Adolescent, Anti-Anxiety Agents, Antidepressive Agents, COVID-19, Cohort Studies, Communicable Disease Control, Humans, Hypnotics and Sedatives, Infant, Newborn, Pandemics, Young Adult, mental health, pharmacoepidemiology, psychiatry, psychotropic drugs},\\n\\tpages = {1--7},\\n}\\n\\n\",\"author_short\":[\"Levaillant, M.\",\"Wathelet, M.\",\"Lamer, A.\",\"Riquin, E.\",\"Gohier, B.\",\"Hamel-Broza, J.\"],\"key\":\"levaillant_impact_2021\",\"id\":\"levaillant_impact_2021\",\"bibbaseid\":\"levaillant-wathelet-lamer-riquin-gohier-hamelbroza-impactofcovid19pandemicandlockdownsontheconsumptionofanxiolyticshypnoticsandantidepressantsaccordingtoagegroupsafrenchnationwidestudy-2021\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Adolescent\",\"Anti-Anxiety Agents\",\"Antidepressive Agents\",\"COVID-19\",\"Cohort Studies\",\"Communicable Disease Control\",\"Humans\",\"Hypnotics and Sedatives\",\"Infant\",\"Newborn\",\"Pandemics\",\"Young Adult\",\"mental health\",\"pharmacoepidemiology\",\"psychiatry\",\"psychotropic drugs\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Evaluation of Anti-Activated Factor X Activity and Activated Partial Thromboplastin Time Relations and Their Association with Bleeding and Thrombosis during Veno-Arterial ECMO Support: A Retrospective Study\",\"volume\":\"10\",\"copyright\":\"http://creativecommons.org/licenses/by/3.0/\",\"shorttitle\":\"Evaluation of Anti-Activated Factor X Activity and Activated Partial Thromboplastin Time Relations and Their Association with Bleeding and Thrombosis during Veno-Arterial ECMO Support\",\"url\":\"https://www.mdpi.com/2077-0383/10/10/2158\",\"doi\":\"10.3390/jcm10102158\",\"abstract\":\"Background: We aimed to investigate the relationship between anti-activated Factor X (anti-FXa) and activated Partial Thromboplastin Time (aPTT), and its modulation by other haemostasis co-variables during veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support. We further investigated their association with serious bleeding and thrombotic complications. Methods: This retrospective single-center study included 265 adults supported by VA-ECMO for refractory cardiogenic shock from January 2015 to June 2019. The concordance of anti-FXa and aPTT and their correlations were assessed in 1699 paired samples. Their independent associations with serious bleeding or thrombotic complications were also analysed in multivariate analysis. Results: The concordance rate of aPTT with anti-FXa values was 50.7%, with 39.3% subtherapeutic aPTT values. However, anti-FXa and aPTT remained associated (β = 0.43 (95% CI 0.4–0.45) 10−2 IU/mL, p &lt; 0.001), with a significant modulation by several biological co-variables. There was no association between anti-FXa nor aPTT values with serious bleeding or with thrombotic complications. Conclusion: During VA-ECMO, although anti-FXa and aPTT were significantly associated, their values were highly discordant with marked sub-therapeutic aPTT values. These results should favour the use of anti-FXa. The effect of biological co-variables and the failure of anti-FXa and aPTT to predict bleeding and thrombotic complications underline the complexity of VA-ECMO-related coagulopathy.\",\"language\":\"en\",\"number\":\"10\",\"urldate\":\"2021-05-17\",\"journal\":\"Journal of Clinical Medicine\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Moussa\"],\"firstnames\":[\"Mouhamed\",\"Djahoum\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Soquet\"],\"firstnames\":[\"Jérôme\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Labreuche\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gantois\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Dupont\"],\"firstnames\":[\"Annabelle\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Abou-Arab\"],\"firstnames\":[\"Osama\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousse\"],\"firstnames\":[\"Natacha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Liu\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Brandt\"],\"firstnames\":[\"Caroline\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Foulon\"],\"firstnames\":[\"Valentin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Leroy\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Schurtz\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jeanpierre\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Duhamel\"],\"firstnames\":[\"Alain\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Susen\"],\"firstnames\":[\"Sophie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vincentelli\"],\"firstnames\":[\"André\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Robin\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2021\",\"note\":\"Number: 10 Publisher: Multidisciplinary Digital Publishing Institute\",\"keywords\":\"activated partial thromboplastin time, anti-factor Xa, bleeding, extracorporeal membrane oxygenation, intravenous unfractionated heparin monitoring, thrombotic complications\",\"pages\":\"2158\",\"bibtex\":\"@article{moussa_evaluation_2021,\\n\\ttitle = {Evaluation of {Anti}-{Activated} {Factor} {X} {Activity} and {Activated} {Partial} {Thromboplastin} {Time} {Relations} and {Their} {Association} with {Bleeding} and {Thrombosis} during {Veno}-{Arterial} {ECMO} {Support}: {A} {Retrospective} {Study}},\\n\\tvolume = {10},\\n\\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\\n\\tshorttitle = {Evaluation of {Anti}-{Activated} {Factor} {X} {Activity} and {Activated} {Partial} {Thromboplastin} {Time} {Relations} and {Their} {Association} with {Bleeding} and {Thrombosis} during {Veno}-{Arterial} {ECMO} {Support}},\\n\\turl = {https://www.mdpi.com/2077-0383/10/10/2158},\\n\\tdoi = {10.3390/jcm10102158},\\n\\tabstract = {Background: We aimed to investigate the relationship between anti-activated Factor X (anti-FXa) and activated Partial Thromboplastin Time (aPTT), and its modulation by other haemostasis co-variables during veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support. We further investigated their association with serious bleeding and thrombotic complications. Methods: This retrospective single-center study included 265 adults supported by VA-ECMO for refractory cardiogenic shock from January 2015 to June 2019. The concordance of anti-FXa and aPTT and their correlations were assessed in 1699 paired samples. Their independent associations with serious bleeding or thrombotic complications were also analysed in multivariate analysis. Results: The concordance rate of aPTT with anti-FXa values was 50.7\\\\%, with 39.3\\\\% subtherapeutic aPTT values. However, anti-FXa and aPTT remained associated (β = 0.43 (95\\\\% CI 0.4–0.45) 10−2 IU/mL, p \\\\&lt; 0.001), with a significant modulation by several biological co-variables. There was no association between anti-FXa nor aPTT values with serious bleeding or with thrombotic complications. Conclusion: During VA-ECMO, although anti-FXa and aPTT were significantly associated, their values were highly discordant with marked sub-therapeutic aPTT values. These results should favour the use of anti-FXa. The effect of biological co-variables and the failure of anti-FXa and aPTT to predict bleeding and thrombotic complications underline the complexity of VA-ECMO-related coagulopathy.},\\n\\tlanguage = {en},\\n\\tnumber = {10},\\n\\turldate = {2021-05-17},\\n\\tjournal = {Journal of Clinical Medicine},\\n\\tauthor = {Moussa, Mouhamed Djahoum and Soquet, Jérôme and Lamer, Antoine and Labreuche, Julien and Gantois, Guillaume and Dupont, Annabelle and Abou-Arab, Osama and Rousse, Natacha and Liu, Vincent and Brandt, Caroline and Foulon, Valentin and Leroy, Guillaume and Schurtz, Guillaume and Jeanpierre, Emmanuel and Duhamel, Alain and Susen, Sophie and Vincentelli, André and Robin, Emmanuel},\\n\\tmonth = jan,\\n\\tyear = {2021},\\n\\tnote = {Number: 10\\nPublisher: Multidisciplinary Digital Publishing Institute},\\n\\tkeywords = {activated partial thromboplastin time, anti-factor Xa, bleeding, extracorporeal membrane oxygenation, intravenous unfractionated heparin monitoring, thrombotic complications},\\n\\tpages = {2158},\\n}\\n\\n\",\"author_short\":[\"Moussa, M. D.\",\"Soquet, J.\",\"Lamer, A.\",\"Labreuche, J.\",\"Gantois, G.\",\"Dupont, A.\",\"Abou-Arab, O.\",\"Rousse, N.\",\"Liu, V.\",\"Brandt, C.\",\"Foulon, V.\",\"Leroy, G.\",\"Schurtz, G.\",\"Jeanpierre, E.\",\"Duhamel, A.\",\"Susen, S.\",\"Vincentelli, A.\",\"Robin, E.\"],\"key\":\"moussa_evaluation_2021\",\"id\":\"moussa_evaluation_2021\",\"bibbaseid\":\"moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.mdpi.com/2077-0383/10/10/2158\"},\"keyword\":[\"activated partial thromboplastin time\",\"anti-factor Xa\",\"bleeding\",\"extracorporeal membrane oxygenation\",\"intravenous unfractionated heparin monitoring\",\"thrombotic complications\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"Antoine Lamer / omop_anesthesia · GitLab\",\"url\":\"https://gitlab.com/antoinelamer/omop_anesthesia\",\"abstract\":\"GitLab.com\",\"language\":\"fr\",\"urldate\":\"2023-11-15\",\"journal\":\"GitLab\",\"month\":\"March\",\"year\":\"2021\",\"bibtex\":\"@misc{noauthor_antoine_2021,\\n\\ttitle = {Antoine {Lamer} / omop\\\\_anesthesia · {GitLab}},\\n\\turl = {https://gitlab.com/antoinelamer/omop_anesthesia},\\n\\tabstract = {GitLab.com},\\n\\tlanguage = {fr},\\n\\turldate = {2023-11-15},\\n\\tjournal = {GitLab},\\n\\tmonth = mar,\\n\\tyear = {2021},\\n}\\n\\n\",\"key\":\"noauthor_antoine_2021\",\"id\":\"noauthor_antoine_2021\",\"bibbaseid\":\"anonymous-antoinelameromopanesthesiagitlab-2021\",\"role\":\"\",\"urls\":{\"Paper\":\"https://gitlab.com/antoinelamer/omop_anesthesia\"},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Association between sarcopenia and risk of major adverse cardiac and cerebrovascular events-UK Biobank database\",\"issn\":\"1532-5415\",\"doi\":\"10.1111/jgs.18664\",\"abstract\":\"BACKGROUND: Few studies on the risk of incident major adverse cardiac and cerebrovascular events (MACCEs) in sarcopenia have been reported. The objective was to assess the association between presarcopenia and sarcopenia and a higher risk of MACCEs. METHODS: This study on the UK Biobank prospective cohort, used data collected between 2006 and 2021. Community-dwelling Caucasian participants aged 37 to 73 years were included if values for Handgrip Strength (HGS) and Skeletal Muscle Index (SMI) were available and if no history of MACCEs was reported. Exposure was assessed using the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was measured using HGS, and muscle mass using the SMI. Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, whereas sarcopenia was defined as low HGS with low SMI. The main outcome was to determine whether presarcopenia and/or sarcopenia were predictors of MACCEs (composite events). RESULTS: A total of 406,411 included participants (women: 55.7%) were included. At baseline, there were 18,257 (4.7%) presarcopenics-subgroup n°1 (low HGS only), 7940 (2.1%) presarcopenics-subgroup n°2 (low SMI only), and 1124 (0.3%) sarcopenics. Over a median follow-up of 12.1 years (IQR: [11.4; 12.8]), 28,300 participants (7.0%) were diagnosed with at least one event. Compared to NonSarc, presarcopenic (subgroups n°1 and n°2) and sarcopenic status were significantly associated with a higher risk of MACCEs (respectively fully adjusted HRs: HR = 1.25 [95% CI: 1.19; 1.31], HR = 1.33 [95% CI: 1.23; 1.45] and HR = 1.62 [95% CI: 1.34; 1.95]). CONCLUSIONS: In a community-dwelling population, the risk of MACCEs was higher in both presarcopenic and sarcopenic participants.\",\"language\":\"eng\",\"journal\":\"Journal of the American Geriatrics Society\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jauffret\"],\"firstnames\":[\"Charlotte\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Périchon\"],\"firstnames\":[\"Renaud\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cortet\"],\"firstnames\":[\"Bernard\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paccou\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]}],\"month\":\"November\",\"year\":\"2023\",\"pmid\":\"37945290\",\"keywords\":\"UK Biobank, major cardiac and cerebrovascular event, presarcopenia, sarcopenia\",\"bibtex\":\"@article{jauffret_association_2023,\\n\\ttitle = {Association between sarcopenia and risk of major adverse cardiac and cerebrovascular events-{UK} {Biobank} database},\\n\\tissn = {1532-5415},\\n\\tdoi = {10.1111/jgs.18664},\\n\\tabstract = {BACKGROUND: Few studies on the risk of incident major adverse cardiac and cerebrovascular events (MACCEs) in sarcopenia have been reported. The objective was to assess the association between presarcopenia and sarcopenia and a higher risk of MACCEs.\\nMETHODS: This study on the UK Biobank prospective cohort, used data collected between 2006 and 2021. Community-dwelling Caucasian participants aged 37 to 73 years were included if values for Handgrip Strength (HGS) and Skeletal Muscle Index (SMI) were available and if no history of MACCEs was reported. Exposure was assessed using the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was measured using HGS, and muscle mass using the SMI. Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, whereas sarcopenia was defined as low HGS with low SMI. The main outcome was to determine whether presarcopenia and/or sarcopenia were predictors of MACCEs (composite events).\\nRESULTS: A total of 406,411 included participants (women: 55.7\\\\%) were included. At baseline, there were 18,257 (4.7\\\\%) presarcopenics-subgroup n°1 (low HGS only), 7940 (2.1\\\\%) presarcopenics-subgroup n°2 (low SMI only), and 1124 (0.3\\\\%) sarcopenics. Over a median follow-up of 12.1 years (IQR: [11.4; 12.8]), 28,300 participants (7.0\\\\%) were diagnosed with at least one event. Compared to NonSarc, presarcopenic (subgroups n°1 and n°2) and sarcopenic status were significantly associated with a higher risk of MACCEs (respectively fully adjusted HRs: HR = 1.25 [95\\\\% CI: 1.19; 1.31], HR = 1.33 [95\\\\% CI: 1.23; 1.45] and HR = 1.62 [95\\\\% CI: 1.34; 1.95]).\\nCONCLUSIONS: In a community-dwelling population, the risk of MACCEs was higher in both presarcopenic and sarcopenic participants.},\\n\\tlanguage = {eng},\\n\\tjournal = {Journal of the American Geriatrics Society},\\n\\tauthor = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},\\n\\tmonth = nov,\\n\\tyear = {2023},\\n\\tpmid = {37945290},\\n\\tkeywords = {UK Biobank, major cardiac and cerebrovascular event, presarcopenia, sarcopenia},\\n}\\n\\n\",\"author_short\":[\"Jauffret, C.\",\"Périchon, R.\",\"Lamer, A.\",\"Cortet, B.\",\"Chazard, E.\",\"Paccou, J.\"],\"key\":\"jauffret_association_2023\",\"id\":\"jauffret_association_2023\",\"bibbaseid\":\"jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandriskofmajoradversecardiacandcerebrovasculareventsukbiobankdatabase-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"UK Biobank\",\"major cardiac and cerebrovascular event\",\"presarcopenia\",\"sarcopenia\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"P2662Prognostic value of postoperative high-sensitivity troponin among patients undergoing fenestrated and/or branched endovascular aortic aneurysm repair\",\"volume\":\"39\",\"issn\":\"0195-668X\",\"url\":\"https://doi.org/10.1093/eurheartj/ehy565.P2662\",\"doi\":\"10.1093/eurheartj/ehy565.P2662\",\"abstract\":\"Introduction: Patients undergoing fenestrated/branched endovascular aortic repairs (F/B-EVAR) are particularly at risk of myocardial injury after non-cardiac surgery (MINS). The recently introduced high-sensitivity troponin (HsTnT) may allow better diagnosis of MINS as compared to former troponin assays. However HsTnT prognostic value has not been evaluated in F/B-EVAR patients.Purpose: Our objectives were to assess the prognostic value of postoperative HsTnT in patients undergoing F/B-EVAR and to identify the optimal threshold of HsTnT that defines MINS in this population.\",\"number\":\"suppl_1\",\"urldate\":\"2023-11-13\",\"journal\":\"European Heart Journal\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Moussa\"],\"firstnames\":[\"M\",\"D\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"A\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mass\"],\"firstnames\":[\"G\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Louvel\"],\"firstnames\":[\"P\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lecaitel\"],\"firstnames\":[\"S\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hertault\"],\"firstnames\":[\"A\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gantois\"],\"firstnames\":[\"G\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Leroy\"],\"firstnames\":[\"G\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ait-Ouarab\"],\"firstnames\":[\"S\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Brandt\"],\"firstnames\":[\"C\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kipnis\"],\"firstnames\":[\"E\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sobocinski\"],\"firstnames\":[\"J\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tavernier\"],\"firstnames\":[\"B\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Haulon\"],\"firstnames\":[\"S\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Robin\"],\"firstnames\":[\"E\"],\"suffixes\":[]}],\"month\":\"August\",\"year\":\"2018\",\"pages\":\"ehy565.P2662\",\"bibtex\":\"@article{moussa_p2662prognostic_2018,\\n\\ttitle = {{P2662Prognostic} value of postoperative high-sensitivity troponin among patients undergoing fenestrated and/or branched endovascular aortic aneurysm repair},\\n\\tvolume = {39},\\n\\tissn = {0195-668X},\\n\\turl = {https://doi.org/10.1093/eurheartj/ehy565.P2662},\\n\\tdoi = {10.1093/eurheartj/ehy565.P2662},\\n\\tabstract = {Introduction: Patients undergoing fenestrated/branched endovascular aortic repairs (F/B-EVAR) are particularly at risk of myocardial injury after non-cardiac surgery (MINS). The recently introduced high-sensitivity troponin (HsTnT) may allow better diagnosis of MINS as compared to former troponin assays. However HsTnT prognostic value has not been evaluated in F/B-EVAR patients.Purpose: Our objectives were to assess the prognostic value of postoperative HsTnT in patients undergoing F/B-EVAR and to identify the optimal threshold of HsTnT that defines MINS in this population.},\\n\\tnumber = {suppl\\\\_1},\\n\\turldate = {2023-11-13},\\n\\tjournal = {European Heart Journal},\\n\\tauthor = {Moussa, M D and Lamer, A and Mass, G and Louvel, P and Lecaitel, S and Hertault, A and Gantois, G and Leroy, G and Ait-Ouarab, S and Brandt, C and Kipnis, E and Sobocinski, J and Tavernier, B and Haulon, S and Robin, E},\\n\\tmonth = aug,\\n\\tyear = {2018},\\n\\tpages = {ehy565.P2662},\\n}\\n\\n\",\"author_short\":[\"Moussa, M D\",\"Lamer, A\",\"Mass, G\",\"Louvel, P\",\"Lecaitel, S\",\"Hertault, A\",\"Gantois, G\",\"Leroy, G\",\"Ait-Ouarab, S\",\"Brandt, C\",\"Kipnis, E\",\"Sobocinski, J\",\"Tavernier, B\",\"Haulon, S\",\"Robin, E\"],\"key\":\"moussa_p2662prognostic_2018\",\"id\":\"moussa_p2662prognostic_2018\",\"bibbaseid\":\"moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://doi.org/10.1093/eurheartj/ehy565.P2662\"},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation: A propensity-matched comparison\",\"volume\":\"41\",\"issn\":\"1557-3117\",\"shorttitle\":\"Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation\",\"doi\":\"10.1016/j.healun.2022.01.007\",\"abstract\":\"BACKGROUND: During peripheral extracorporeal veno-arterial membrane oxygenation (VA-ECMO) support, subclavian arterial cannulation provides, in comparison to femoral arterial cannulation, an anterograde flow which may prevent from left ventricular (LV) distention and improve outcomes. We aimed to compare the effectiveness of subclavian cannulation to femoral cannulation in reducing LV overdistension consequences, hemostatic complications and mortality. METHODS: This retrospective study conducted in two intensive care units of the Lille academic hospitals from January 2013 to December 2019 included 372 non-moribund adult patients supported by VA-ECMO. The primary endpoint was a new onset of pulmonary edema (PO) or LV unloading. Secondary endpoints were myocardial recovery, serious bleeding (according to Extracorporeal Life Support Organization definition), thrombotic complications (a composite of stroke, cannulated limb or mesenteric ischemia, intracardiac or aortic-root thrombosis) and 28 day mortality. Differences in outcomes were analyzed using propensity score matching (PSM) and inverse probability of treatment weighting adjustment (IPTW). RESULTS: As compared to femoral cannulation (n = 320 patients), subclavian cannulation (n = 52 patients) did not reduce the occurrence of new onset of PO or LV unloading after PSM [HR 0.99 (95% CI 0.51-1.91)]. There was no other difference in outcomes in PSM cohort. In IPTW adjustment cohort, subclavian cannulation was associated with reduced recovery and increased serious bleeding with four accidental decannulations observed. CONCLUSION: Subclavian artery cannulation was not associated with reduced LV distension related complications, thrombotic complications and 28 day mortality. Rather, it may increase serious bleeding and accidental decannulations, and reduce recovery. Therefore, subclavian cannulation should be limited to vascular accessibility issues.\",\"language\":\"eng\",\"number\":\"5\",\"journal\":\"The Journal of Heart and Lung Transplantation: The Official Publication of the International Society for Heart Transplantation\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Moussa\"],\"firstnames\":[\"Mouhamed\",\"Djahoum\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rousse\"],\"firstnames\":[\"Natacha\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Abou\",\"Arab\"],\"firstnames\":[\"Osama\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gantois\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Soquet\"],\"firstnames\":[\"Jerome\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Liu\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Mugnier\"],\"firstnames\":[\"Agnès\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Duburcq\"],\"firstnames\":[\"Thibault\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Petitgand\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Foulon\"],\"firstnames\":[\"Valentin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Dumontet\"],\"firstnames\":[\"Jocelyn\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Deblauwe\"],\"firstnames\":[\"Delphine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Juthier\"],\"firstnames\":[\"Francis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Desbordes\"],\"firstnames\":[\"Jacques\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Loobuyck\"],\"firstnames\":[\"Valentin\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Labreuche\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Robin\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vincentelli\"],\"firstnames\":[\"André\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2022\",\"pmid\":\"35090808\",\"keywords\":\"Adult, Catheterization, Extracorporeal Membrane Oxygenation, Hemorrhage, Humans, Propensity Score, Retrospective Studies, Veno-arterial extracorporeal membrane oxygenation (ECMO), left ventricle distension, mortality, pulmonary edema, serious bleeding thrombotic complications\",\"pages\":\"608–618\",\"bibtex\":\"@article{moussa_subclavian_2022,\\n\\ttitle = {Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation: {A} propensity-matched comparison},\\n\\tvolume = {41},\\n\\tissn = {1557-3117},\\n\\tshorttitle = {Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation},\\n\\tdoi = {10.1016/j.healun.2022.01.007},\\n\\tabstract = {BACKGROUND: During peripheral extracorporeal veno-arterial membrane oxygenation (VA-ECMO) support, subclavian arterial cannulation provides, in comparison to femoral arterial cannulation, an anterograde flow which may prevent from left ventricular (LV) distention and improve outcomes. We aimed to compare the effectiveness of subclavian cannulation to femoral cannulation in reducing LV overdistension consequences, hemostatic complications and mortality.\\nMETHODS: This retrospective study conducted in two intensive care units of the Lille academic hospitals from January 2013 to December 2019 included 372 non-moribund adult patients supported by VA-ECMO. The primary endpoint was a new onset of pulmonary edema (PO) or LV unloading. Secondary endpoints were myocardial recovery, serious bleeding (according to Extracorporeal Life Support Organization definition), thrombotic complications (a composite of stroke, cannulated limb or mesenteric ischemia, intracardiac or aortic-root thrombosis) and 28 day mortality. Differences in outcomes were analyzed using propensity score matching (PSM) and inverse probability of treatment weighting adjustment (IPTW).\\nRESULTS: As compared to femoral cannulation (n = 320 patients), subclavian cannulation (n = 52 patients) did not reduce the occurrence of new onset of PO or LV unloading after PSM [HR 0.99 (95\\\\% CI 0.51-1.91)]. There was no other difference in outcomes in PSM cohort. In IPTW adjustment cohort, subclavian cannulation was associated with reduced recovery and increased serious bleeding with four accidental decannulations observed.\\nCONCLUSION: Subclavian artery cannulation was not associated with reduced LV distension related complications, thrombotic complications and 28 day mortality. Rather, it may increase serious bleeding and accidental decannulations, and reduce recovery. Therefore, subclavian cannulation should be limited to vascular accessibility issues.},\\n\\tlanguage = {eng},\\n\\tnumber = {5},\\n\\tjournal = {The Journal of Heart and Lung Transplantation: The Official Publication of the International Society for Heart Transplantation},\\n\\tauthor = {Moussa, Mouhamed Djahoum and Rousse, Natacha and Abou Arab, Osama and Lamer, Antoine and Gantois, Guillaume and Soquet, Jerome and Liu, Vincent and Mugnier, Agnès and Duburcq, Thibault and Petitgand, Vincent and Foulon, Valentin and Dumontet, Jocelyn and Deblauwe, Delphine and Juthier, Francis and Desbordes, Jacques and Loobuyck, Valentin and Labreuche, Julien and Robin, Emmanuel and Vincentelli, André},\\n\\tmonth = may,\\n\\tyear = {2022},\\n\\tpmid = {35090808},\\n\\tkeywords = {Adult, Catheterization, Extracorporeal Membrane Oxygenation, Hemorrhage, Humans, Propensity Score, Retrospective Studies, Veno-arterial extracorporeal membrane oxygenation (ECMO), left ventricle distension, mortality, pulmonary edema, serious bleeding thrombotic complications},\\n\\tpages = {608--618},\\n}\\n\\n\",\"author_short\":[\"Moussa, M. D.\",\"Rousse, N.\",\"Abou Arab, O.\",\"Lamer, A.\",\"Gantois, G.\",\"Soquet, J.\",\"Liu, V.\",\"Mugnier, A.\",\"Duburcq, T.\",\"Petitgand, V.\",\"Foulon, V.\",\"Dumontet, J.\",\"Deblauwe, D.\",\"Juthier, F.\",\"Desbordes, J.\",\"Loobuyck, V.\",\"Labreuche, J.\",\"Robin, E.\",\"Vincentelli, A.\"],\"key\":\"moussa_subclavian_2022\",\"id\":\"moussa_subclavian_2022\",\"bibbaseid\":\"moussa-rousse-abouarab-lamer-gantois-soquet-liu-mugnier-etal-subclavianversusfemoralarterialcannulationsduringextracorporealmembraneoxygenationapropensitymatchedcomparison-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Adult\",\"Catheterization\",\"Extracorporeal Membrane Oxygenation\",\"Hemorrhage\",\"Humans\",\"Propensity Score\",\"Retrospective Studies\",\"Veno-arterial extracorporeal membrane oxygenation (ECMO)\",\"left ventricle distension\",\"mortality\",\"pulmonary edema\",\"serious bleeding thrombotic complications\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Mild pulmonary hemodynamic alterations in patients with systemic sclerosis: relevance of the new 2022 ESC/ERS definition of pulmonary hypertension and impact on mortality\",\"volume\":\"23\",\"issn\":\"1465-993X\",\"shorttitle\":\"Mild pulmonary hemodynamic alterations in patients with systemic sclerosis\",\"doi\":\"10.1186/s12931-022-02205-4\",\"abstract\":\"BACKGROUND AND OBJECTIVE: The definition of pre-capillary pulmonary hypertension (PH) has been modified, with lowering of the mean pulmonary arterial pressure (mPAP) threshold from 25 to 20 mmHg and addition of a mandatory criterion of pulmonary vascular resistance (PVR) ≥ 2 Wood units (WU). Our objectives were: 1/ to estimate the proportion of patients reclassified as having pre-capillary PH when using the new 2022 ESC/ERS hemodynamic criteria (i.e. mPAP 21-24 mmHg and PVR ≥ 2 WU), and to describe their clinical characteristics and outcome; and 2/ to study the relationship between PVR and survival in patients with mPAP \\\\textgreater 20 mmHg. METHODS: We retrospectively analyzed consecutive SSc patients included in our National Reference Center for a first right-heart catheterization between 2003 and 2018. The association between survival and PVR was studied using smoothing splines. RESULTS: We included 126 SSc patients with mPAP \\\\textgreater 20 mmHg. Among them, 16 (13%) had a baseline mPAP value between 21 and 24 mmHg and PVR ≥ 2 mmHg and were reclassified as pre-capillary PH; 10 of which (62%) raised their mPAP ≥ 25 mmHg during follow-up. In patients with mPAP \\\\textgreater 20 mmHg, we observed a linear relation between PVR and mortality for values \\\\textless 6 WU. CONCLUSION: A significant proportion of SSc patients is reclassified as having pre-capillary PH with the new 2022 ESC/ERS hemodynamic definition. Lowering the PVR threshold from 3 to 2 WU captures patients at risk of raising their mPAP \\\\textgreater 25 mmHg, with a possibly less severe disease.\",\"language\":\"eng\",\"number\":\"1\",\"journal\":\"Respiratory Research\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Puigrenier\"],\"firstnames\":[\"Sébastien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Giovannelli\"],\"firstnames\":[\"Jonathan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamblin\"],\"firstnames\":[\"Nicolas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"De\",\"Groote\"],\"firstnames\":[\"Pascal\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Fertin\"],\"firstnames\":[\"Marie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bervar\"],\"firstnames\":[\"Jean-François\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Edmé\"],\"firstnames\":[\"Jean-Louis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balquet\"],\"firstnames\":[\"Marie-Hélène\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sobanski\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Launay\"],\"firstnames\":[\"David\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hachulla\"],\"firstnames\":[\"Éric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Sanges\"],\"firstnames\":[\"Sébastien\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2022\",\"pmid\":\"36243869\",\"pmcid\":\"PMC9571468\",\"keywords\":\"Diagnostic criteria, Hemodynamics, Humans, Hypertension, Pulmonary, Mortality, Pulmonary arterial hypertension, Pulmonary hypertension, Pulmonary vascular resistance, Retrospective Studies, Scleroderma, Systemic, Systemic sclerosis, Vascular Resistance\",\"pages\":\"284\",\"bibtex\":\"@article{puigrenier_mild_2022,\\n\\ttitle = {Mild pulmonary hemodynamic alterations in patients with systemic sclerosis: relevance of the new 2022 {ESC}/{ERS} definition of pulmonary hypertension and impact on mortality},\\n\\tvolume = {23},\\n\\tissn = {1465-993X},\\n\\tshorttitle = {Mild pulmonary hemodynamic alterations in patients with systemic sclerosis},\\n\\tdoi = {10.1186/s12931-022-02205-4},\\n\\tabstract = {BACKGROUND AND OBJECTIVE: The definition of pre-capillary pulmonary hypertension (PH) has been modified, with lowering of the mean pulmonary arterial pressure (mPAP) threshold from 25 to 20 mmHg and addition of a mandatory criterion of pulmonary vascular resistance (PVR) ≥ 2 Wood units (WU). Our objectives were: 1/ to estimate the proportion of patients reclassified as having pre-capillary PH when using the new 2022 ESC/ERS hemodynamic criteria (i.e. mPAP 21-24 mmHg and PVR ≥ 2 WU), and to describe their clinical characteristics and outcome; and 2/ to study the relationship between PVR and survival in patients with mPAP {\\\\textgreater} 20 mmHg.\\nMETHODS: We retrospectively analyzed consecutive SSc patients included in our National Reference Center for a first right-heart catheterization between 2003 and 2018. The association between survival and PVR was studied using smoothing splines.\\nRESULTS: We included 126 SSc patients with mPAP {\\\\textgreater} 20 mmHg. Among them, 16 (13\\\\%) had a baseline mPAP value between 21 and 24 mmHg and PVR ≥ 2 mmHg and were reclassified as pre-capillary PH; 10 of which (62\\\\%) raised their mPAP ≥ 25 mmHg during follow-up. In patients with mPAP {\\\\textgreater} 20 mmHg, we observed a linear relation between PVR and mortality for values {\\\\textless} 6 WU.\\nCONCLUSION: A significant proportion of SSc patients is reclassified as having pre-capillary PH with the new 2022 ESC/ERS hemodynamic definition. Lowering the PVR threshold from 3 to 2 WU captures patients at risk of raising their mPAP {\\\\textgreater} 25 mmHg, with a possibly less severe disease.},\\n\\tlanguage = {eng},\\n\\tnumber = {1},\\n\\tjournal = {Respiratory Research},\\n\\tauthor = {Puigrenier, Sébastien and Giovannelli, Jonathan and Lamblin, Nicolas and De Groote, Pascal and Fertin, Marie and Bervar, Jean-François and Lamer, Antoine and Edmé, Jean-Louis and Balquet, Marie-Hélène and Sobanski, Vincent and Launay, David and Hachulla, Éric and Sanges, Sébastien},\\n\\tmonth = oct,\\n\\tyear = {2022},\\n\\tpmid = {36243869},\\n\\tpmcid = {PMC9571468},\\n\\tkeywords = {Diagnostic criteria, Hemodynamics, Humans, Hypertension, Pulmonary, Mortality, Pulmonary arterial hypertension, Pulmonary hypertension, Pulmonary vascular resistance, Retrospective Studies, Scleroderma, Systemic, Systemic sclerosis, Vascular Resistance},\\n\\tpages = {284},\\n}\\n\\n\",\"author_short\":[\"Puigrenier, S.\",\"Giovannelli, J.\",\"Lamblin, N.\",\"De Groote, P.\",\"Fertin, M.\",\"Bervar, J.\",\"Lamer, A.\",\"Edmé, J.\",\"Balquet, M.\",\"Sobanski, V.\",\"Launay, D.\",\"Hachulla, É.\",\"Sanges, S.\"],\"key\":\"puigrenier_mild_2022\",\"id\":\"puigrenier_mild_2022\",\"bibbaseid\":\"puigrenier-giovannelli-lamblin-degroote-fertin-bervar-lamer-edm-etal-mildpulmonaryhemodynamicalterationsinpatientswithsystemicsclerosisrelevanceofthenew2022escersdefinitionofpulmonaryhypertensionandimpactonmortality-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Diagnostic criteria\",\"Hemodynamics\",\"Humans\",\"Hypertension\",\"Pulmonary\",\"Mortality\",\"Pulmonary arterial hypertension\",\"Pulmonary hypertension\",\"Pulmonary vascular resistance\",\"Retrospective Studies\",\"Scleroderma\",\"Systemic\",\"Systemic sclerosis\",\"Vascular Resistance\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Publication Dynamics on Social Media During the Orpea Nursing Homes Scandal: A Twitter Analysis\",\"volume\":\"302\",\"issn\":\"1879-8365\",\"shorttitle\":\"Publication Dynamics on Social Media During the Orpea Nursing Homes Scandal\",\"doi\":\"10.3233/SHTI230191\",\"abstract\":\"The release of a book denouncing mistreatment in French nursing home triggered a scandal which was conveyed on social networks. The objectives of this study were to study the temporal trends and dynamics of publication on Twitter during the scandal as well as to identify the main topics of discussion.The first one is spontaneous and completely aligned with the actuality and fed by media and family of residents, while the second one is out of step with current events and fed by the company involved in the scandal.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Fruchart\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verdier\"],\"firstnames\":[\"Laetitia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Beuscart\"],\"firstnames\":[\"Jean-Baptiste\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"pmid\":\"37203735\",\"keywords\":\"Humans, Nursing Homes, Social Media, Social Networking, Twitter, data reuse, nursing home, orpea, social media, topic modeling\",\"pages\":\"502–503\",\"bibtex\":\"@article{fruchart_publication_2023,\\n\\ttitle = {Publication {Dynamics} on {Social} {Media} {During} the {Orpea} {Nursing} {Homes} {Scandal}: {A} {Twitter} {Analysis}},\\n\\tvolume = {302},\\n\\tissn = {1879-8365},\\n\\tshorttitle = {Publication {Dynamics} on {Social} {Media} {During} the {Orpea} {Nursing} {Homes} {Scandal}},\\n\\tdoi = {10.3233/SHTI230191},\\n\\tabstract = {The release of a book denouncing mistreatment in French nursing home triggered a scandal which was conveyed on social networks. The objectives of this study were to study the temporal trends and dynamics of publication on Twitter during the scandal as well as to identify the main topics of discussion.The first one is spontaneous and completely aligned with the actuality and fed by media and family of residents, while the second one is out of step with current events and fed by the company involved in the scandal.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Fruchart, Mathilde and Verdier, Laetitia and Beuscart, Jean-Baptiste and Lamer, Antoine},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tpmid = {37203735},\\n\\tkeywords = {Humans, Nursing Homes, Social Media, Social Networking, Twitter, data reuse, nursing home, orpea, social media, topic modeling},\\n\\tpages = {502--503},\\n}\\n\\n\",\"author_short\":[\"Fruchart, M.\",\"Verdier, L.\",\"Beuscart, J.\",\"Lamer, A.\"],\"key\":\"fruchart_publication_2023\",\"id\":\"fruchart_publication_2023\",\"bibbaseid\":\"fruchart-verdier-beuscart-lamer-publicationdynamicsonsocialmediaduringtheorpeanursinghomesscandalatwitteranalysis-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Humans\",\"Nursing Homes\",\"Social Media\",\"Social Networking\",\"Twitter\",\"data reuse\",\"nursing home\",\"orpea\",\"social media\",\"topic modeling\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"OpenDataPsy: An Open-Data Repository with Standardized Storage and Description for Research in Psychiatry\",\"volume\":\"302\",\"issn\":\"1879-8365\",\"shorttitle\":\"OpenDataPsy\",\"doi\":\"10.3233/SHTI230288\",\"abstract\":\"Sharing health data could avoid duplication of effort in data collection, reduce unnecessary costs in future studies, and encourage collaboration and data flow within the scientific community. Several repositories from national institutions or research teams have making their datasets available. These data are mainly aggregated at spatial or temporal level, or dedicated to a specific field. The objective of this work is to propose a standardized storage and description of open datasets for research purposes. For this, we selected 8 publicly accessible datasets, covering the fields of demographics, employment, education and psychiatry. Then, we studied the format, nomenclature (i.e., files and variables names, modalities of recurrent qualitative variables) and descriptions of these datasets and we proposed on common and standardized format and description. We made available these datasets in an open gitlab repository. For each dataset, we proposed the raw data file in its original format, the cleaned data file in csv format, the variables description, the data management script and the descriptive statistics. Statistics are generated according to the type of variables previously documented. After one year of use, we will evaluate with the users if the standardization of the data sets is relevant and how they use the dataset in real life.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Saint-Dizier\"],\"firstnames\":[\"Chloé\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zaanouar\"],\"firstnames\":[\"Majda\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Amariei\"],\"firstnames\":[\"Alina\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Quindroit\"],\"firstnames\":[\"Paul\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"pmid\":\"37203516\",\"keywords\":\"Data Collection, Data Management, Information Storage and Retrieval, Open data, Psychiatry, Records, data reuse, psychiatry, research\",\"pages\":\"851–855\",\"bibtex\":\"@article{saint-dizier_opendatapsy_2023,\\n\\ttitle = {{OpenDataPsy}: {An} {Open}-{Data} {Repository} with {Standardized} {Storage} and {Description} for {Research} in {Psychiatry}},\\n\\tvolume = {302},\\n\\tissn = {1879-8365},\\n\\tshorttitle = {{OpenDataPsy}},\\n\\tdoi = {10.3233/SHTI230288},\\n\\tabstract = {Sharing health data could avoid duplication of effort in data collection, reduce unnecessary costs in future studies, and encourage collaboration and data flow within the scientific community. Several repositories from national institutions or research teams have making their datasets available. These data are mainly aggregated at spatial or temporal level, or dedicated to a specific field. The objective of this work is to propose a standardized storage and description of open datasets for research purposes. For this, we selected 8 publicly accessible datasets, covering the fields of demographics, employment, education and psychiatry. Then, we studied the format, nomenclature (i.e., files and variables names, modalities of recurrent qualitative variables) and descriptions of these datasets and we proposed on common and standardized format and description. We made available these datasets in an open gitlab repository. For each dataset, we proposed the raw data file in its original format, the cleaned data file in csv format, the variables description, the data management script and the descriptive statistics. Statistics are generated according to the type of variables previously documented. After one year of use, we will evaluate with the users if the standardization of the data sets is relevant and how they use the dataset in real life.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Saint-Dizier, Chloé and Lamer, Antoine and Zaanouar, Majda and Amariei, Alina and Quindroit, Paul},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tpmid = {37203516},\\n\\tkeywords = {Data Collection, Data Management, Information Storage and Retrieval, Open data, Psychiatry, Records, data reuse, psychiatry, research},\\n\\tpages = {851--855},\\n}\\n\\n\",\"author_short\":[\"Saint-Dizier, C.\",\"Lamer, A.\",\"Zaanouar, M.\",\"Amariei, A.\",\"Quindroit, P.\"],\"key\":\"saint-dizier_opendatapsy_2023\",\"id\":\"saint-dizier_opendatapsy_2023\",\"bibbaseid\":\"saintdizier-lamer-zaanouar-amariei-quindroit-opendatapsyanopendatarepositorywithstandardizedstorageanddescriptionforresearchinpsychiatry-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data Collection\",\"Data Management\",\"Information Storage and Retrieval\",\"Open data\",\"Psychiatry\",\"Records\",\"data reuse\",\"psychiatry\",\"research\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"In France, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn: Contribution from a French nationwide study\",\"issn\":\"1879-3479\",\"shorttitle\":\"In France, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn\",\"doi\":\"10.1002/ijgo.15004\",\"abstract\":\"OBJECTIVE: To investigate maternal and neonatal outcomes after a delivery in France in 2019, according to hospital characteristics and the impact of distance and time of travel on mother and newborn. METHODS: All parturients above 18 years of age who delivered in 2019 and were identified in the French health insurance database were included, with their newborns, in this retrospective cohort study. Main outcome measures were Severe Maternal Morbidity score and the Neonatal Adverse Outcome Indicator (NAOI). RESULTS: Among the 733 052 pregnancies included, 10 829 presented a severe maternal morbidity (1.48%) and 77 237 had a neonatal adverse outcome (10.4%). Factors associated with an unfavorable maternal or neonatal outcome were Obstetric Comorbidity Index, primiparity, and cesarean or instrumental delivery. Prematurity was associated with less severe maternal morbidity but more neonatal adverse outcomes. Time of travel above 30 min was associated with a higher NAOI rate. CONCLUSIONS: Results suggest the efficiency of regionalization of perinatal care in France, although a difference in both outcomes persists according to unit volume, suggesting the need for a further step in concentrating perinatal care. Perinatal care organization should focus on mapping the territory with high-level, high-volume maternity throughout the territory; this suggests closing down high-volume units and improving low-volume ones to maintain coherent mapping.\",\"language\":\"eng\",\"journal\":\"International Journal of Gynaecology and Obstetrics: The Official Organ of the International Federation of Gynaecology and Obstetrics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Levaillant\"],\"firstnames\":[\"Mathieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Garabédian\"],\"firstnames\":[\"Charles\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Legendre\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Soula\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hamel\"],\"firstnames\":[\"Jean-François\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vallet\"],\"firstnames\":[\"Benoît\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"July\",\"year\":\"2023\",\"pmid\":\"37485702\",\"keywords\":\"data reuse, delivery, maternity level, perinatal facility mapping, regionalization\",\"bibtex\":\"@article{levaillant_france_2023,\\n\\ttitle = {In {France}, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn: {Contribution} from a {French} nationwide study},\\n\\tissn = {1879-3479},\\n\\tshorttitle = {In {France}, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn},\\n\\tdoi = {10.1002/ijgo.15004},\\n\\tabstract = {OBJECTIVE: To investigate maternal and neonatal outcomes after a delivery in France in 2019, according to hospital characteristics and the impact of distance and time of travel on mother and newborn.\\nMETHODS: All parturients above 18 years of age who delivered in 2019 and were identified in the French health insurance database were included, with their newborns, in this retrospective cohort study. Main outcome measures were Severe Maternal Morbidity score and the Neonatal Adverse Outcome Indicator (NAOI).\\nRESULTS: Among the 733 052 pregnancies included, 10 829 presented a severe maternal morbidity (1.48\\\\%) and 77 237 had a neonatal adverse outcome (10.4\\\\%). Factors associated with an unfavorable maternal or neonatal outcome were Obstetric Comorbidity Index, primiparity, and cesarean or instrumental delivery. Prematurity was associated with less severe maternal morbidity but more neonatal adverse outcomes. Time of travel above 30 min was associated with a higher NAOI rate.\\nCONCLUSIONS: Results suggest the efficiency of regionalization of perinatal care in France, although a difference in both outcomes persists according to unit volume, suggesting the need for a further step in concentrating perinatal care. Perinatal care organization should focus on mapping the territory with high-level, high-volume maternity throughout the territory; this suggests closing down high-volume units and improving low-volume ones to maintain coherent mapping.},\\n\\tlanguage = {eng},\\n\\tjournal = {International Journal of Gynaecology and Obstetrics: The Official Organ of the International Federation of Gynaecology and Obstetrics},\\n\\tauthor = {Levaillant, Mathieu and Garabédian, Charles and Legendre, Guillaume and Soula, Julien and Hamel, Jean-François and Vallet, Benoît and Lamer, Antoine},\\n\\tmonth = jul,\\n\\tyear = {2023},\\n\\tpmid = {37485702},\\n\\tkeywords = {data reuse, delivery, maternity level, perinatal facility mapping, regionalization},\\n}\\n\\n\",\"author_short\":[\"Levaillant, M.\",\"Garabédian, C.\",\"Legendre, G.\",\"Soula, J.\",\"Hamel, J.\",\"Vallet, B.\",\"Lamer, A.\"],\"key\":\"levaillant_france_2023\",\"id\":\"levaillant_france_2023\",\"bibbaseid\":\"levaillant-garabdian-legendre-soula-hamel-vallet-lamer-infrancetheorganizationofperinatalcarehasadirectinfluenceontheoutcomeofthemotherandthenewborncontributionfromafrenchnationwidestudy-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"data reuse\",\"delivery\",\"maternity level\",\"perinatal facility mapping\",\"regionalization\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"In France, distance from hospital and health care structure impact on outcome after arthroplasty of the hip for proximal fractures of the femur\",\"volume\":\"18\",\"issn\":\"1749-799X\",\"doi\":\"10.1186/s13018-023-03893-4\",\"abstract\":\"BACKGROUND: Hip arthroplasty is a frequently performed procedure in orthopedic surgery, carried out in almost all health structures for two main issues: fracture and coxarthrosis. Even if volume-outcome relationship appeared associated in many surgeries recently, data provided are not sufficient to set surgical thresholds neither than closing down low-volumes centers. QUESTION: With this study, we wanted to identify surgical, health care-related and territorial factors influencing patient' mortality and readmission after a HA for a femoral fracture in 2018 in France. PATIENTS AND METHODS: Data were anonymously collected from French nationwide administrative databases. All patients who underwent a hip arthroplasty for a femoral fracture through 2018 were included. Patient outcome was 90-day mortality and 90-day readmission rate after surgery. RESULTS: Of the 36,252 patients that underwent a HA for fracture in France in 2018, 0.7% died within 90-day year and 1.2% were readmitted. Male and Charlson comorbidity index were associated with a higher 90-day mortality and readmission rate in multivariate analysis. High volume was associated with a lower mortality rate. Neither time of travel nor distance upon health facility were associated with mortality nor with readmission rate in the analysis. CONCLUSION: Even if volume appears to be associated with lower mortality rate even for longer distance and time of travel, the persistence of exogenous factors not documented in the French databases suggests that regionalization of hip arthroplasty should be organized with caution. CLINICAL RELEVANCE: As volume-outcome relationship must be interpreted with caution, policy makers should not regionalize such surgery without further investigation.\",\"language\":\"eng\",\"number\":\"1\",\"journal\":\"Journal of Orthopaedic Surgery and Research\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Levaillant\"],\"firstnames\":[\"Mathieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rony\"],\"firstnames\":[\"Louis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Hamel-Broza\"],\"firstnames\":[\"Jean-François\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Soula\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vallet\"],\"firstnames\":[\"Benoît\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2023\",\"pmid\":\"37296484\",\"pmcid\":\"PMC10257255\",\"keywords\":\"Arthroplasty, Replacement, Hip, Data reuse, Delivery of Health Care, Femoral Fractures, Femur, Hip Fractures, Hip arthroplasty, Hospital, Hospitals, Humans, Male, Quality indicator, Retrospective Studies, Risk Factors, Surgery, Volume–outcome relationship\",\"pages\":\"418\",\"bibtex\":\"@article{levaillant_france_2023-1,\\n\\ttitle = {In {France}, distance from hospital and health care structure impact on outcome after arthroplasty of the hip for proximal fractures of the femur},\\n\\tvolume = {18},\\n\\tissn = {1749-799X},\\n\\tdoi = {10.1186/s13018-023-03893-4},\\n\\tabstract = {BACKGROUND: Hip arthroplasty is a frequently performed procedure in orthopedic surgery, carried out in almost all health structures for two main issues: fracture and coxarthrosis. Even if volume-outcome relationship appeared associated in many surgeries recently, data provided are not sufficient to set surgical thresholds neither than closing down low-volumes centers.\\nQUESTION: With this study, we wanted to identify surgical, health care-related and territorial factors influencing patient' mortality and readmission after a HA for a femoral fracture in 2018 in France.\\nPATIENTS AND METHODS: Data were anonymously collected from French nationwide administrative databases. All patients who underwent a hip arthroplasty for a femoral fracture through 2018 were included. Patient outcome was 90-day mortality and 90-day readmission rate after surgery.\\nRESULTS: Of the 36,252 patients that underwent a HA for fracture in France in 2018, 0.7\\\\% died within 90-day year and 1.2\\\\% were readmitted. Male and Charlson comorbidity index were associated with a higher 90-day mortality and readmission rate in multivariate analysis. High volume was associated with a lower mortality rate. Neither time of travel nor distance upon health facility were associated with mortality nor with readmission rate in the analysis.\\nCONCLUSION: Even if volume appears to be associated with lower mortality rate even for longer distance and time of travel, the persistence of exogenous factors not documented in the French databases suggests that regionalization of hip arthroplasty should be organized with caution.\\nCLINICAL RELEVANCE: As volume-outcome relationship must be interpreted with caution, policy makers should not regionalize such surgery without further investigation.},\\n\\tlanguage = {eng},\\n\\tnumber = {1},\\n\\tjournal = {Journal of Orthopaedic Surgery and Research},\\n\\tauthor = {Levaillant, Mathieu and Rony, Louis and Hamel-Broza, Jean-François and Soula, Julien and Vallet, Benoît and Lamer, Antoine},\\n\\tmonth = jun,\\n\\tyear = {2023},\\n\\tpmid = {37296484},\\n\\tpmcid = {PMC10257255},\\n\\tkeywords = {Arthroplasty, Replacement, Hip, Data reuse, Delivery of Health Care, Femoral Fractures, Femur, Hip Fractures, Hip arthroplasty, Hospital, Hospitals, Humans, Male, Quality indicator, Retrospective Studies, Risk Factors, Surgery, Volume–outcome relationship},\\n\\tpages = {418},\\n}\\n\\n\",\"author_short\":[\"Levaillant, M.\",\"Rony, L.\",\"Hamel-Broza, J.\",\"Soula, J.\",\"Vallet, B.\",\"Lamer, A.\"],\"key\":\"levaillant_france_2023-1\",\"id\":\"levaillant_france_2023-1\",\"bibbaseid\":\"levaillant-rony-hamelbroza-soula-vallet-lamer-infrancedistancefromhospitalandhealthcarestructureimpactonoutcomeafterarthroplastyofthehipforproximalfracturesofthefemur-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Arthroplasty\",\"Replacement\",\"Hip\",\"Data reuse\",\"Delivery of Health Care\",\"Femoral Fractures\",\"Femur\",\"Hip Fractures\",\"Hip arthroplasty\",\"Hospital\",\"Hospitals\",\"Humans\",\"Male\",\"Quality indicator\",\"Retrospective Studies\",\"Risk Factors\",\"Surgery\",\"Volume–outcome relationship\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project\",\"volume\":\"37\",\"issn\":\"1573-2614\",\"shorttitle\":\"Development and usage of an anesthesia data warehouse\",\"doi\":\"10.1007/s10877-022-00898-y\",\"abstract\":\"This paper describes the development and implementation of an anesthesia data warehouse in the Lille University Hospital. We share the lessons learned from a ten-year project and provide guidance for the implementation of such a project. Our clinical data warehouse is mainly fed with data collected by the anesthesia information management system and hospital discharge reports. The data warehouse stores historical and accurate data with an accuracy level of the day for administrative data, and of the second for monitoring data. Datamarts complete the architecture and provide secondary computed data and indicators, in order to execute queries faster and easily. Between 2010 and 2021, 636 784 anesthesia records were integrated for 353 152 patients. We reported the main concerns and barriers during the development of this project and we provided 8 tips to handle them. We have implemented our data warehouse into the OMOP common data model as a complementary downstream data model. The next step of the project will be to disseminate the use of the OMOP data model for anesthesia and critical care, and drive the trend towards federated learning to enhance collaborations and multicenter studies.\",\"language\":\"eng\",\"number\":\"2\",\"journal\":\"Journal of Clinical Monitoring and Computing\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Moussa\"],\"firstnames\":[\"Mouhamed\",\"Djahoum\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Logier\"],\"firstnames\":[\"Régis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Vallet\"],\"firstnames\":[\"Benoit\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tavernier\"],\"firstnames\":[\"Benoît\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2023\",\"pmid\":\"35933465\",\"pmcid\":\"PMC10068662\",\"keywords\":\"Anesthesia, Anesthesia information management system, Data Warehousing, Data reuse, Data warehouse, Database, Humans, Retrospective studies\",\"pages\":\"461–472\",\"bibtex\":\"@article{lamer_development_2023,\\n\\ttitle = {Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project},\\n\\tvolume = {37},\\n\\tissn = {1573-2614},\\n\\tshorttitle = {Development and usage of an anesthesia data warehouse},\\n\\tdoi = {10.1007/s10877-022-00898-y},\\n\\tabstract = {This paper describes the development and implementation of an anesthesia data warehouse in the Lille University Hospital. We share the lessons learned from a ten-year project and provide guidance for the implementation of such a project. Our clinical data warehouse is mainly fed with data collected by the anesthesia information management system and hospital discharge reports. The data warehouse stores historical and accurate data with an accuracy level of the day for administrative data, and of the second for monitoring data. Datamarts complete the architecture and provide secondary computed data and indicators, in order to execute queries faster and easily. Between 2010 and 2021, 636 784 anesthesia records were integrated for 353 152 patients. We reported the main concerns and barriers during the development of this project and we provided 8 tips to handle them. We have implemented our data warehouse into the OMOP common data model as a complementary downstream data model. The next step of the project will be to disseminate the use of the OMOP data model for anesthesia and critical care, and drive the trend towards federated learning to enhance collaborations and multicenter studies.},\\n\\tlanguage = {eng},\\n\\tnumber = {2},\\n\\tjournal = {Journal of Clinical Monitoring and Computing},\\n\\tauthor = {Lamer, Antoine and Moussa, Mouhamed Djahoum and Marcilly, Romaric and Logier, Régis and Vallet, Benoit and Tavernier, Benoît},\\n\\tmonth = apr,\\n\\tyear = {2023},\\n\\tpmid = {35933465},\\n\\tpmcid = {PMC10068662},\\n\\tkeywords = {Anesthesia, Anesthesia information management system, Data Warehousing, Data reuse, Data warehouse, Database, Humans, Retrospective studies},\\n\\tpages = {461--472},\\n}\\n\\n\",\"author_short\":[\"Lamer, A.\",\"Moussa, M. D.\",\"Marcilly, R.\",\"Logier, R.\",\"Vallet, B.\",\"Tavernier, B.\"],\"key\":\"lamer_development_2023\",\"id\":\"lamer_development_2023\",\"bibbaseid\":\"lamer-moussa-marcilly-logier-vallet-tavernier-developmentandusageofananesthesiadatawarehouselessonslearntfroma10yearproject-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Anesthesia\",\"Anesthesia information management system\",\"Data Warehousing\",\"Data reuse\",\"Data warehouse\",\"Database\",\"Humans\",\"Retrospective studies\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Good practices for clinical data warehouse implementation: A case study in France\",\"volume\":\"2\",\"issn\":\"2767-3170\",\"shorttitle\":\"Good practices for clinical data warehouse implementation\",\"doi\":\"10.1371/journal.pdig.0000298\",\"abstract\":\"Real-world data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight key aspects of modern clinical data warehouses (CDWs): governance, transparency, types of data, data reuse, technical tools, documentation, and data quality control processes. Semi-structured interviews as well as a review of reported studies on French CDWs were conducted in a semi-structured manner from March to November 2022. Out of 32 regional and university hospitals in France, 14 have a CDW in production, 5 are experimenting, 5 have a prospective CDW project, 8 did not have any CDW project at the time of writing. The implementation of CDW in France dates from 2011 and accelerated in the late 2020. From this case study, we draw some general guidelines for CDWs. The actual orientation of CDWs towards research requires efforts in governance stabilization, standardization of data schema, and development in data quality and data documentation. Particular attention must be paid to the sustainability of the warehouse teams and to the multilevel governance. The transparency of the studies and the tools of transformation of the data must improve to allow successful multicentric data reuses as well as innovations in routine care.\",\"language\":\"eng\",\"number\":\"7\",\"journal\":\"PLOS digital health\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Doutreligne\"],\"firstnames\":[\"Matthieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Degremont\"],\"firstnames\":[\"Adeline\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Jachiet\"],\"firstnames\":[\"Pierre-Alain\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tannier\"],\"firstnames\":[\"Xavier\"],\"suffixes\":[]}],\"month\":\"July\",\"year\":\"2023\",\"pmid\":\"37410797\",\"pmcid\":\"PMC10325086\",\"pages\":\"e0000298\",\"bibtex\":\"@article{doutreligne_good_2023,\\n\\ttitle = {Good practices for clinical data warehouse implementation: {A} case study in {France}},\\n\\tvolume = {2},\\n\\tissn = {2767-3170},\\n\\tshorttitle = {Good practices for clinical data warehouse implementation},\\n\\tdoi = {10.1371/journal.pdig.0000298},\\n\\tabstract = {Real-world data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight key aspects of modern clinical data warehouses (CDWs): governance, transparency, types of data, data reuse, technical tools, documentation, and data quality control processes. Semi-structured interviews as well as a review of reported studies on French CDWs were conducted in a semi-structured manner from March to November 2022. Out of 32 regional and university hospitals in France, 14 have a CDW in production, 5 are experimenting, 5 have a prospective CDW project, 8 did not have any CDW project at the time of writing. The implementation of CDW in France dates from 2011 and accelerated in the late 2020. From this case study, we draw some general guidelines for CDWs. The actual orientation of CDWs towards research requires efforts in governance stabilization, standardization of data schema, and development in data quality and data documentation. Particular attention must be paid to the sustainability of the warehouse teams and to the multilevel governance. The transparency of the studies and the tools of transformation of the data must improve to allow successful multicentric data reuses as well as innovations in routine care.},\\n\\tlanguage = {eng},\\n\\tnumber = {7},\\n\\tjournal = {PLOS digital health},\\n\\tauthor = {Doutreligne, Matthieu and Degremont, Adeline and Jachiet, Pierre-Alain and Lamer, Antoine and Tannier, Xavier},\\n\\tmonth = jul,\\n\\tyear = {2023},\\n\\tpmid = {37410797},\\n\\tpmcid = {PMC10325086},\\n\\tpages = {e0000298},\\n}\\n\\n\",\"author_short\":[\"Doutreligne, M.\",\"Degremont, A.\",\"Jachiet, P.\",\"Lamer, A.\",\"Tannier, X.\"],\"key\":\"doutreligne_good_2023\",\"id\":\"doutreligne_good_2023\",\"bibbaseid\":\"doutreligne-degremont-jachiet-lamer-tannier-goodpracticesforclinicaldatawarehouseimplementationacasestudyinfrance-2023\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"lntraoperative administration of 6% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: A sequential and propensity-matched analysis\",\"volume\":\"39\",\"issn\":\"2352-5568\",\"shorttitle\":\"lntraoperative administration of 6% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery\",\"url\":\"https://www.sciencedirect.com/science/article/pii/S2352556820300230\",\"doi\":\"10.1016/j.accpm.2019.08.002\",\"abstract\":\"Background Intraoperative use of hydroxyethyl starch (HES) may increase the risk of postoperative acute kidney injury (AKI). Data from large populations are lacking. We aimed to assess whether intraoperative administration of 6% HES 130/0.4 is associated with AKI in non-cardiac surgery. Methods This retrospective study used the electronic records concerning elective abdominal, urologic, thoracic and peripheral vascular surgeries from 2010 to 2015. HES and non-HES patients were compared using a propensity score matching. Postoperative AKI, defined by stage 3 of the Kidney Disease Improving Global Outcomes (KDIGO) score, was the primary outcome. Because the use of HES markedly decreased in 2013, additional analyses, restricted to the 2010–2012 period, were also performed. Results In total, 23,045, and 11,691 patients were included in the whole, and restricted periods, respectively. The reduction in HES use was not accompanied by any change in the incidence of AKI. Unadjusted association between HES and KDIGO 3 AKI was significant (OR [95% CI] of 2.13 [1.67, 2.71]). For the whole period, 6460 patients were matched. Odd ratios for KDIGO 3 and all-stage AKI when using HES (10.3±4.7mL.kg−1) were 1.20 (95% CI [0.74, 1.95]), and 1.21 (95% CI [0.95, 1.54]), respectively. There was no association with the initiation of renal replacement therapy or in-hospital mortality either. Similar results were found for the restricted period. Conclusion The intraoperative use of moderate doses of 6% HES 130/0.4 was not associated with increased risk of AKI. No conclusion can be drawn for higher doses of HES.\",\"number\":\"2\",\"urldate\":\"2023-10-30\",\"journal\":\"Anaesthesia Critical Care & Pain Medicine\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Degoul\"],\"firstnames\":[\"Samuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lebuffe\"],\"firstnames\":[\"Gilles\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Duhamel\"],\"firstnames\":[\"Alain\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Tavernier\"],\"firstnames\":[\"Benoît\"],\"suffixes\":[]}],\"month\":\"April\",\"year\":\"2020\",\"keywords\":\"Acute kidney injury, Elective surgical procedures, Hydroxyethyl starch derivatives, Patient outcome assessment\",\"pages\":\"199–206\",\"bibtex\":\"@article{degoul_lntraoperative_2020,\\n\\ttitle = {lntraoperative administration of 6\\\\% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: {A} sequential and propensity-matched analysis},\\n\\tvolume = {39},\\n\\tissn = {2352-5568},\\n\\tshorttitle = {lntraoperative administration of 6\\\\% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery},\\n\\turl = {https://www.sciencedirect.com/science/article/pii/S2352556820300230},\\n\\tdoi = {10.1016/j.accpm.2019.08.002},\\n\\tabstract = {Background\\nIntraoperative use of hydroxyethyl starch (HES) may increase the risk of postoperative acute kidney injury (AKI). Data from large populations are lacking. We aimed to assess whether intraoperative administration of 6\\\\% HES 130/0.4 is associated with AKI in non-cardiac surgery.\\nMethods\\nThis retrospective study used the electronic records concerning elective abdominal, urologic, thoracic and peripheral vascular surgeries from 2010 to 2015. HES and non-HES patients were compared using a propensity score matching. Postoperative AKI, defined by stage 3 of the Kidney Disease Improving Global Outcomes (KDIGO) score, was the primary outcome. Because the use of HES markedly decreased in 2013, additional analyses, restricted to the 2010–2012 period, were also performed.\\nResults\\nIn total, 23,045, and 11,691 patients were included in the whole, and restricted periods, respectively. The reduction in HES use was not accompanied by any change in the incidence of AKI. Unadjusted association between HES and KDIGO 3 AKI was significant (OR [95\\\\% CI] of 2.13 [1.67, 2.71]). For the whole period, 6460 patients were matched. Odd ratios for KDIGO 3 and all-stage AKI when using HES (10.3±4.7mL.kg−1) were 1.20 (95\\\\% CI [0.74, 1.95]), and 1.21 (95\\\\% CI [0.95, 1.54]), respectively. There was no association with the initiation of renal replacement therapy or in-hospital mortality either. Similar results were found for the restricted period.\\nConclusion\\nThe intraoperative use of moderate doses of 6\\\\% HES 130/0.4 was not associated with increased risk of AKI. No conclusion can be drawn for higher doses of HES.},\\n\\tnumber = {2},\\n\\turldate = {2023-10-30},\\n\\tjournal = {Anaesthesia Critical Care \\\\& Pain Medicine},\\n\\tauthor = {Degoul, Samuel and Chazard, Emmanuel and Lamer, Antoine and Lebuffe, Gilles and Duhamel, Alain and Tavernier, Benoît},\\n\\tmonth = apr,\\n\\tyear = {2020},\\n\\tkeywords = {Acute kidney injury, Elective surgical procedures, Hydroxyethyl starch derivatives, Patient outcome assessment},\\n\\tpages = {199--206},\\n}\\n\\n\",\"author_short\":[\"Degoul, S.\",\"Chazard, E.\",\"Lamer, A.\",\"Lebuffe, G.\",\"Duhamel, A.\",\"Tavernier, B.\"],\"key\":\"degoul_lntraoperative_2020\",\"id\":\"degoul_lntraoperative_2020\",\"bibbaseid\":\"degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://www.sciencedirect.com/science/article/pii/S2352556820300230\"},\"keyword\":[\"Acute kidney injury\",\"Elective surgical procedures\",\"Hydroxyethyl starch derivatives\",\"Patient outcome assessment\"],\"metadata\":{\"authorlinks\":{\"chazard, e\":\"http://www.chazard.org/emmanuel/publications.htm\",\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"downloads\":0,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Description of a French Population of Diabetics Treated Followed up by General Practitioners\",\"volume\":\"302\",\"issn\":\"1879-8365\",\"doi\":\"10.3233/SHTI230289\",\"abstract\":\"In France, the prevalence of treated diabetes has been estimated at 4.6%, or more than 3 million people and 5.2% in Northern France. The reuse of primary care data allows to study outpatient clinical data such as laboratory results and drug prescriptions, which are not documented in claims and hospital databases. In this study, we selected the population of treated diabetics from the Wattrelos primary care data warehouse, in North of France. Firstly, we studied the laboratory results of diabetics by identifying whether the recommendations of the French National Authority for Health (HAS) were respected. In a second step, we studied the prescriptions of diabetics by identifying the oral hypoglycemic agents treatments and insulins treatments. The diabetic population represents 690 patients of the health care center. The recommendations on labortatory are respected for 84% of diabetics. The majority of diabetics are treated with oral hypoglycemic agents 68.6%. As recommended by the HAS, metformin is the first-line treatment in the diabetic population.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Fruchart\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lemaitre\"],\"firstnames\":[\"Madleen\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Beuscart\"],\"firstnames\":[\"Jean-Baptiste\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Calafiore\"],\"firstnames\":[\"Matthieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Quindroit\"],\"firstnames\":[\"Paul\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"pmid\":\"37203517\",\"keywords\":\"Diabetes Mellitus, Type 2, Diabetes mellitus, Drug Prescriptions, France, General Practitioners, Humans, Hypoglycemic Agents, Metformin, data reuse, general practitioner, primary care\",\"pages\":\"856–860\",\"bibtex\":\"@article{fruchart_description_2023,\\n\\ttitle = {Description of a {French} {Population} of {Diabetics} {Treated} {Followed} up by {General} {Practitioners}},\\n\\tvolume = {302},\\n\\tissn = {1879-8365},\\n\\tdoi = {10.3233/SHTI230289},\\n\\tabstract = {In France, the prevalence of treated diabetes has been estimated at 4.6\\\\%, or more than 3 million people and 5.2\\\\% in Northern France. The reuse of primary care data allows to study outpatient clinical data such as laboratory results and drug prescriptions, which are not documented in claims and hospital databases. In this study, we selected the population of treated diabetics from the Wattrelos primary care data warehouse, in North of France. Firstly, we studied the laboratory results of diabetics by identifying whether the recommendations of the French National Authority for Health (HAS) were respected. In a second step, we studied the prescriptions of diabetics by identifying the oral hypoglycemic agents treatments and insulins treatments. The diabetic population represents 690 patients of the health care center. The recommendations on labortatory are respected for 84\\\\% of diabetics. The majority of diabetics are treated with oral hypoglycemic agents 68.6\\\\%. As recommended by the HAS, metformin is the first-line treatment in the diabetic population.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Fruchart, Mathilde and Lamer, Antoine and Lemaitre, Madleen and Beuscart, Jean-Baptiste and Calafiore, Matthieu and Quindroit, Paul},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tpmid = {37203517},\\n\\tkeywords = {Diabetes Mellitus, Type 2, Diabetes mellitus, Drug Prescriptions, France, General Practitioners, Humans, Hypoglycemic Agents, Metformin, data reuse, general practitioner, primary care},\\n\\tpages = {856--860},\\n}\\n\\n\",\"author_short\":[\"Fruchart, M.\",\"Lamer, A.\",\"Lemaitre, M.\",\"Beuscart, J.\",\"Calafiore, M.\",\"Quindroit, P.\"],\"key\":\"fruchart_description_2023\",\"id\":\"fruchart_description_2023\",\"bibbaseid\":\"fruchart-lamer-lemaitre-beuscart-calafiore-quindroit-descriptionofafrenchpopulationofdiabeticstreatedfollowedupbygeneralpractitioners-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Diabetes Mellitus\",\"Type 2\",\"Diabetes mellitus\",\"Drug Prescriptions\",\"France\",\"General Practitioners\",\"Humans\",\"Hypoglycemic Agents\",\"Metformin\",\"data reuse\",\"general practitioner\",\"primary care\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Association Between Sarcopenia and Fracture Risk in a Population From the UK Biobank Database\",\"volume\":\"n/a\",\"copyright\":\"© 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).\",\"issn\":\"1523-4681\",\"url\":\"https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884\",\"doi\":\"10.1002/jbmr.4884\",\"abstract\":\"Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as “fracture” (location compatible with an osteoporotic origin) and “major osteoporotic fracture” (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa) and their 95% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4%; median age 58.0 years; interquartile range [IQR] 51.0–63.0 years) were included. At baseline, there were 18,257 (4.7%) presarcopenic participants—subgroup 1 (low HGS only), 7940 (2.1%) presarcopenic participants—subgroup 2 (low SMI only), and 1124 (0.3%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4–12.6 years), 18,300 (4.7%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19–1.33], HR = 1.20 [1.11–1.30], HR = 1.30 [1.08–1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21–1.40], HR = 1.19 [1.08–1.72], HR = 1.18 [0.93–1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).\",\"language\":\"en\",\"number\":\"n/a\",\"urldate\":\"2023-10-07\",\"journal\":\"Journal of Bone and Mineral Research\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Jauffret\"],\"firstnames\":[\"Charlotte\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Périchon\"],\"firstnames\":[\"Renaud\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cortet\"],\"firstnames\":[\"Bernard\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paccou\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]}],\"note\":\"_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbmr.4884\",\"keywords\":\"FRACTURES, MUSCLE MASS, MUSCLE STRENGTH, SARCOPENIA, UK BIOBANK\",\"bibtex\":\"@article{jauffret_association_nodate,\\n\\ttitle = {Association {Between} {Sarcopenia} and {Fracture} {Risk} in a {Population} {From} the {UK} {Biobank} {Database}},\\n\\tvolume = {n/a},\\n\\tcopyright = {© 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},\\n\\tissn = {1523-4681},\\n\\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884},\\n\\tdoi = {10.1002/jbmr.4884},\\n\\tabstract = {Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as “fracture” (location compatible with an osteoporotic origin) and “major osteoporotic fracture” (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa) and their 95\\\\% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4\\\\%; median age 58.0 years; interquartile range [IQR] 51.0–63.0 years) were included. At baseline, there were 18,257 (4.7\\\\%) presarcopenic participants—subgroup 1 (low HGS only), 7940 (2.1\\\\%) presarcopenic participants—subgroup 2 (low SMI only), and 1124 (0.3\\\\%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4–12.6 years), 18,300 (4.7\\\\%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19–1.33], HR = 1.20 [1.11–1.30], HR = 1.30 [1.08–1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21–1.40], HR = 1.19 [1.08–1.72], HR = 1.18 [0.93–1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},\\n\\tlanguage = {en},\\n\\tnumber = {n/a},\\n\\turldate = {2023-10-07},\\n\\tjournal = {Journal of Bone and Mineral Research},\\n\\tauthor = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},\\n\\tnote = {\\\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbmr.4884},\\n\\tkeywords = {FRACTURES, MUSCLE MASS, MUSCLE STRENGTH, SARCOPENIA, UK BIOBANK},\\n}\\n\\n\",\"author_short\":[\"Jauffret, C.\",\"Périchon, R.\",\"Lamer, A.\",\"Cortet, B.\",\"Chazard, E.\",\"Paccou, J.\"],\"key\":\"jauffret_association_nodate\",\"id\":\"jauffret_association_nodate\",\"bibbaseid\":\"jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884\"},\"keyword\":[\"FRACTURES\",\"MUSCLE MASS\",\"MUSCLE STRENGTH\",\"SARCOPENIA\",\"UK BIOBANK\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Identification of early symptoms of endometriosis through the analysis of online social networks: A social media study\",\"volume\":\"9\",\"issn\":\"2055-2076\",\"shorttitle\":\"Identification of early symptoms of endometriosis through the analysis of online social networks\",\"doi\":\"10.1177/20552076231176114\",\"abstract\":\"OBJECTIVE: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient's experience. This study aimed at applying a text-mining approach to online social networks in order to identify early signs associated with endometriosis. METHODS: An automated exploration technique of online forums was performed to extract posts. After a cleaning step of the built corpus, we retrieved all symptoms evoked by women, and connected them to the MedDRA dictionary. Then, temporal markers allowed targeting only the earliest symptoms. The latter were those evoked near a marker of precocity. A co-occurrence approach was further applied to better account for the context of evocations. RESULTS: Results were visualised using the graph-oriented database Neo4j. We collected 7148 discussions threads and 78,905 posts from 10 French forums. We extracted 41 groups of contextualised symptoms, including 20 groups of early symptoms associated with endometriosis. Among these groups of early symptoms, 13 were found to portray already known signs of endometriosis. The remaining 7 clusters of early symptoms were limb oedema, muscle pain, neuralgia, haematuria, vaginal itching, altered general condition (i.e. dizziness, fatigue, nausea) and hot flush. CONCLUSION: We pointed out some additional symptoms of endometriosis qualified as early symptoms, which can serve as a screening tool for prevention and/or treatment purpose. The present findings offer an opportunity for further exploration of early biological processes triggering this disease.\",\"language\":\"eng\",\"journal\":\"Digital Health\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Fruchart\"],\"firstnames\":[\"Mathilde\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"El\",\"Idrissi\"],\"firstnames\":[\"Fatima\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Belarbi\"],\"firstnames\":[\"Karim\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lemdani\"],\"firstnames\":[\"Mohamed\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Zitouni\"],\"firstnames\":[\"Djamel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Guinhouya\"],\"firstnames\":[\"Benjamin\",\"C.\"],\"suffixes\":[]}],\"year\":\"2023\",\"pmid\":\"37228486\",\"pmcid\":\"PMC10204053\",\"keywords\":\"Data reuse, early symptoms, health communication, natural language processing, patient expertise, social media\",\"pages\":\"20552076231176114\",\"bibtex\":\"@article{fruchart_identification_2023,\\n\\ttitle = {Identification of early symptoms of endometriosis through the analysis of online social networks: {A} social media study},\\n\\tvolume = {9},\\n\\tissn = {2055-2076},\\n\\tshorttitle = {Identification of early symptoms of endometriosis through the analysis of online social networks},\\n\\tdoi = {10.1177/20552076231176114},\\n\\tabstract = {OBJECTIVE: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient's experience. This study aimed at applying a text-mining approach to online social networks in order to identify early signs associated with endometriosis.\\nMETHODS: An automated exploration technique of online forums was performed to extract posts. After a cleaning step of the built corpus, we retrieved all symptoms evoked by women, and connected them to the MedDRA dictionary. Then, temporal markers allowed targeting only the earliest symptoms. The latter were those evoked near a marker of precocity. A co-occurrence approach was further applied to better account for the context of evocations.\\nRESULTS: Results were visualised using the graph-oriented database Neo4j. We collected 7148 discussions threads and 78,905 posts from 10 French forums. We extracted 41 groups of contextualised symptoms, including 20 groups of early symptoms associated with endometriosis. Among these groups of early symptoms, 13 were found to portray already known signs of endometriosis. The remaining 7 clusters of early symptoms were limb oedema, muscle pain, neuralgia, haematuria, vaginal itching, altered general condition (i.e. dizziness, fatigue, nausea) and hot flush.\\nCONCLUSION: We pointed out some additional symptoms of endometriosis qualified as early symptoms, which can serve as a screening tool for prevention and/or treatment purpose. The present findings offer an opportunity for further exploration of early biological processes triggering this disease.},\\n\\tlanguage = {eng},\\n\\tjournal = {Digital Health},\\n\\tauthor = {Fruchart, Mathilde and El Idrissi, Fatima and Lamer, Antoine and Belarbi, Karim and Lemdani, Mohamed and Zitouni, Djamel and Guinhouya, Benjamin C.},\\n\\tyear = {2023},\\n\\tpmid = {37228486},\\n\\tpmcid = {PMC10204053},\\n\\tkeywords = {Data reuse, early symptoms, health communication, natural language processing, patient expertise, social media},\\n\\tpages = {20552076231176114},\\n}\\n\\n\",\"author_short\":[\"Fruchart, M.\",\"El Idrissi, F.\",\"Lamer, A.\",\"Belarbi, K.\",\"Lemdani, M.\",\"Zitouni, D.\",\"Guinhouya, B. C.\"],\"key\":\"fruchart_identification_2023\",\"id\":\"fruchart_identification_2023\",\"bibbaseid\":\"fruchart-elidrissi-lamer-belarbi-lemdani-zitouni-guinhouya-identificationofearlysymptomsofendometriosisthroughtheanalysisofonlinesocialnetworksasocialmediastudy-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data reuse\",\"early symptoms\",\"health communication\",\"natural language processing\",\"patient expertise\",\"social media\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"\\\"Book Music\\\" Representation for Temporal Data, as a Part of the Feature Extraction Process: A Novel Approach to Improve the Handling of Time-Dependent Data in Secondary Use of Healthcare Structured Data\",\"volume\":\"290\",\"issn\":\"1879-8365\",\"shorttitle\":\"\\\"Book Music\\\" Representation for Temporal Data, as a Part of the Feature Extraction Process\",\"doi\":\"10.3233/SHTI220141\",\"abstract\":\"Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the \\\"true\\\" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The \\\"book music\\\" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balaye\"],\"firstnames\":[\"Pierre\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Balcaen\"],\"firstnames\":[\"Thibaut\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Genin\"],\"firstnames\":[\"Michaël\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cuggia\"],\"firstnames\":[\"Marc\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bouzille\"],\"firstnames\":[\"Guillaume\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2022\",\"pmid\":\"35673080\",\"keywords\":\"Data reuse, feature extraction, survival analyses\",\"pages\":\"567–571\",\"bibtex\":\"@article{chazard_book_2022,\\n\\ttitle = {\\\"{Book} {Music}\\\" {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}: {A} {Novel} {Approach} to {Improve} the {Handling} of {Time}-{Dependent} {Data} in {Secondary} {Use} of {Healthcare} {Structured} {Data}},\\n\\tvolume = {290},\\n\\tissn = {1879-8365},\\n\\tshorttitle = {\\\"{Book} {Music}\\\" {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}},\\n\\tdoi = {10.3233/SHTI220141},\\n\\tabstract = {Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the \\\"true\\\" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The \\\"book music\\\" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Chazard, Emmanuel and Balaye, Pierre and Balcaen, Thibaut and Genin, Michaël and Cuggia, Marc and Bouzille, Guillaume and Lamer, Antoine},\\n\\tmonth = jun,\\n\\tyear = {2022},\\n\\tpmid = {35673080},\\n\\tkeywords = {Data reuse, feature extraction, survival analyses},\\n\\tpages = {567--571},\\n}\\n\\n\",\"author_short\":[\"Chazard, E.\",\"Balaye, P.\",\"Balcaen, T.\",\"Genin, M.\",\"Cuggia, M.\",\"Bouzille, G.\",\"Lamer, A.\"],\"key\":\"chazard_book_2022\",\"id\":\"chazard_book_2022\",\"bibbaseid\":\"chazard-balaye-balcaen-genin-cuggia-bouzille-lamer-bookmusicrepresentationfortemporaldataasapartofthefeatureextractionprocessanovelapproachtoimprovethehandlingoftimedependentdatainsecondaryuseofhealthcarestructureddata-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Data reuse\",\"feature extraction\",\"survival analyses\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"downloads\":1,\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Awareness and Perception of Google® Reviews Among French GPs\",\"volume\":\"290\",\"issn\":\"1879-8365\",\"doi\":\"10.3233/SHTI220296\",\"abstract\":\"The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.\",\"language\":\"eng\",\"journal\":\"Studies in Health Technology and Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Kerisit\"],\"firstnames\":[\"Erwan\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Legrand\"],\"firstnames\":[\"Bertrand\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Calafiore\"],\"firstnames\":[\"Matthieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Rochoy\"],\"firstnames\":[\"Michaël\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Marcilly\"],\"firstnames\":[\"Romaric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2022\",\"pmid\":\"35673234\",\"keywords\":\"General Practitioners, Internet, Physician rating websites\",\"pages\":\"1118–1119\",\"bibtex\":\"@article{kerisit_awareness_2022,\\n\\ttitle = {Awareness and {Perception} of {Google}® {Reviews} {Among} {French} {GPs}},\\n\\tvolume = {290},\\n\\tissn = {1879-8365},\\n\\tdoi = {10.3233/SHTI220296},\\n\\tabstract = {The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25\\\\% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.},\\n\\tlanguage = {eng},\\n\\tjournal = {Studies in Health Technology and Informatics},\\n\\tauthor = {Kerisit, Erwan and Legrand, Bertrand and Calafiore, Matthieu and Rochoy, Michaël and Chazard, Emmanuel and Marcilly, Romaric and Lamer, Antoine},\\n\\tmonth = jun,\\n\\tyear = {2022},\\n\\tpmid = {35673234},\\n\\tkeywords = {General Practitioners, Internet, Physician rating websites},\\n\\tpages = {1118--1119},\\n}\\n\\n\",\"author_short\":[\"Kerisit, E.\",\"Legrand, B.\",\"Calafiore, M.\",\"Rochoy, M.\",\"Chazard, E.\",\"Marcilly, R.\",\"Lamer, A.\"],\"key\":\"kerisit_awareness_2022\",\"id\":\"kerisit_awareness_2022\",\"bibbaseid\":\"kerisit-legrand-calafiore-rochoy-chazard-marcilly-lamer-awarenessandperceptionofgooglereviewsamongfrenchgps-2022\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"General Practitioners\",\"Internet\",\"Physician rating websites\"],\"metadata\":{\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study\",\"volume\":\"11\",\"issn\":\"1869-0327\",\"shorttitle\":\"Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model\",\"doi\":\"10.1055/s-0039-3402754\",\"abstract\":\"BACKGROUND: Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses. OBJECTIVE: This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM. METHODS: The OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database. RESULTS: Seventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's \\\"standardized clinical data\\\" section, and three tables from the \\\"standardized health system data\\\" section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364). CONCLUSION: Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.\",\"language\":\"eng\",\"number\":\"1\",\"journal\":\"Applied Clinical Informatics\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lamer\"],\"firstnames\":[\"Antoine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Depas\"],\"firstnames\":[\"Nicolas\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Doutreligne\"],\"firstnames\":[\"Matthieu\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Parrot\"],\"firstnames\":[\"Adrien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Verloop\"],\"firstnames\":[\"David\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Defebvre\"],\"firstnames\":[\"Marguerite-Marie\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Ficheur\"],\"firstnames\":[\"Grégoire\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Chazard\"],\"firstnames\":[\"Emmanuel\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Beuscart\"],\"firstnames\":[\"Jean-Baptiste\"],\"suffixes\":[]}],\"month\":\"January\",\"year\":\"2020\",\"pmid\":\"31914471\",\"pmcid\":\"PMC6949163\",\"keywords\":\"Clinical Audit, Databases, Factual, Electronic Health Records, Feasibility Studies, France, Hospitals, Humans, Models, Theoretical, Partnership Practice, Patient Admission\",\"pages\":\"13–22\",\"bibtex\":\"@article{lamer_transforming_2020,\\n\\ttitle = {Transforming {French} {Electronic} {Health} {Records} into the {Observational} {Medical} {Outcome} {Partnership}'s {Common} {Data} {Model}: {A} {Feasibility} {Study}},\\n\\tvolume = {11},\\n\\tissn = {1869-0327},\\n\\tshorttitle = {Transforming {French} {Electronic} {Health} {Records} into the {Observational} {Medical} {Outcome} {Partnership}'s {Common} {Data} {Model}},\\n\\tdoi = {10.1055/s-0039-3402754},\\n\\tabstract = {BACKGROUND: Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses.\\nOBJECTIVE: This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM.\\nMETHODS: The OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database.\\nRESULTS: Seventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's \\\"standardized clinical data\\\" section, and three tables from the \\\"standardized health system data\\\" section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364).\\nCONCLUSION: Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.},\\n\\tlanguage = {eng},\\n\\tnumber = {1},\\n\\tjournal = {Applied Clinical Informatics},\\n\\tauthor = {Lamer, Antoine and Depas, Nicolas and Doutreligne, Matthieu and Parrot, Adrien and Verloop, David and Defebvre, Marguerite-Marie and Ficheur, Grégoire and Chazard, Emmanuel and Beuscart, Jean-Baptiste},\\n\\tmonth = jan,\\n\\tyear = {2020},\\n\\tpmid = {31914471},\\n\\tpmcid = {PMC6949163},\\n\\tkeywords = {Clinical Audit, Databases, Factual, Electronic Health Records, Feasibility Studies, France, Hospitals, Humans, Models, Theoretical, Partnership Practice, Patient Admission},\\n\\tpages = {13--22},\\n}\\n\",\"author_short\":[\"Lamer, A.\",\"Depas, N.\",\"Doutreligne, M.\",\"Parrot, A.\",\"Verloop, D.\",\"Defebvre, M.\",\"Ficheur, G.\",\"Chazard, E.\",\"Beuscart, J.\"],\"key\":\"lamer_transforming_2020\",\"id\":\"lamer_transforming_2020\",\"bibbaseid\":\"lamer-depas-doutreligne-parrot-verloop-defebvre-ficheur-chazard-etal-transformingfrenchelectronichealthrecordsintotheobservationalmedicaloutcomepartnershipscommondatamodelafeasibilitystudy-2020\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Clinical Audit\",\"Databases\",\"Factual\",\"Electronic Health Records\",\"Feasibility Studies\",\"France\",\"Hospitals\",\"Humans\",\"Models\",\"Theoretical\",\"Partnership Practice\",\"Patient Admission\"],\"metadata\":{\"authorlinks\":{\"chazard, e\":\"http://www.chazard.org/emmanuel/publications.htm\",\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\"downloads\":1,\"html\":\"\"}],\n      metadata: {\"owner\":\"lamer, a\",\"authorlinks\":{\"lamer, a\":\"https://pro.univ-lille.fr/antoine-lamer/publications\"}},\n      ownerID: \"aw6LeAvaSNqCYuymm\"\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n  }\n  </style>\n\n  \n  <div style=\"float: right; 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	title = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}: {Consensus} {Study}},
	volume = {10},
	issn = {2291-9694},
	shorttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}},
	doi = {10.2196/38936},
	abstract = {BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm.
OBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse.
METHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM).
RESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. "Track" is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). "Feature" is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables "TRACK" and "FEATURE" to store variables obtained in feature extraction and extend the OMOP CDM.
CONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.},
	language = {eng},
	number = {10},
	journal = {JMIR medical informatics},
	author = {Lamer, Antoine and Fruchart, Mathilde and Paris, Nicolas and Popoff, Benjamin and Payen, Anaïs and Balcaen, Thibaut and Gacquer, William and Bouzillé, Guillaume and Cuggia, Marc and Doutreligne, Matthieu and Chazard, Emmanuel},
	month = oct,
	year = {2022},
	pmid = {36251369},
	pmcid = {PMC9623460},
	keywords = {Observation Medical Outcomes Partnership, algorithm, data reuse, data warehouse, database, feature extraction},
	pages = {e38936},
}



@article{erlich_end-tidal_2022,
	title = {End-tidal {Carbon} {Dioxide} for {Diagnosing} {Anaphylaxis} in {Patients} with {Severe} {Postinduction} {Hypotension}},
	volume = {136},
	issn = {1528-1175},
	doi = {10.1097/ALN.0000000000004123},
	abstract = {BACKGROUND: Perioperative hypersensitivity reactions may be difficult to diagnose during general anesthesia. Postinduction hypotension is the most common sign but is not specific. It was recently suggested that low end-tidal carbon dioxide (ETco2) might be a marker of anaphylaxis (Ring and Messmer grades III to IV immediate hypersensitivity reactions) in hypotensive patients under mechanical ventilation. To test this hypothesis, the authors compared ETco2 in patients with a diagnosis of anaphylaxis and in patients with severe hypotension from any other cause after the induction of anesthesia.
METHODS: This was a retrospective single-center case-control study in which two groups were formed from an anesthesia data warehouse. The anaphylaxis group was formed on the basis of tryptase/histamine assay data and allergy workup data recorded over the period 2010 to 2018. The control (hypotension) group consisted of all patients having experienced severe hypotension (mean arterial pressure less than 50 mmHg for 5 min or longer) with a cause other than anaphylaxis after anesthesia induction in 2017.
RESULTS: The anaphylaxis and hypotension groups comprised 49 patients (grade III: n = 38; grade IV: n = 11) and 555 patients, respectively. The minimum ETco2 value was significantly lower in the anaphylaxis group (median [interquartile range]: 17 [12 to 23] mmHg) than in the hypotension group (32 [29 to 34] mmHg; P {\textless} 0.001). The area under the receiver operating characteristic curve (95\% CI) for ETco2 was 0.95 (0.91 to 0.99). The sensitivity and specificity (95\% CI) for the optimal cutoff value were 0.92 (0.82 to 0.98) and 0.94 (0.92 to 0.99), respectively. In multivariable analysis, minimum ETco2 was associated with anaphylaxis after adjusting for confounders and competing predictors, including arterial pressure, heart rate, and peak airway pressure (odds ratio [95\% CI] for ETco2: 0.51 [0.38 to 0.68]; P {\textless} 0.001).
CONCLUSIONS: In case of severe hypotension after anesthesia induction, a low ETco2 contributes to the diagnosis of anaphylaxis, in addition to the classical signs of perioperative immediate hypersensitivity.},
	language = {eng},
	number = {3},
	journal = {Anesthesiology},
	author = {Erlich, Clémence and Lamer, Antoine and Moussa, Mouhamed D. and Martin, Julien and Rogeau, Stéphanie and Tavernier, Benoit},
	month = mar,
	year = {2022},
	pmid = {35041738},
	keywords = {Anaphylaxis, Anesthesia, General, Carbon Dioxide, Case-Control Studies, Female, Humans, Hypotension, Male, Middle Aged, Retrospective Studies, Tidal Volume},
	pages = {472--481},
}



@article{el_idrissi_exploration_2022,
	title = {Exploration of the core protein network under endometriosis symptomatology using a computational approach},
	volume = {13},
	issn = {1664-2392},
	doi = {10.3389/fendo.2022.869053},
	abstract = {BACKGROUND: Endometriosis is defined by implantation and invasive growth of endometrial tissue in extra-uterine locations causing heterogeneous symptoms, and a unique clinical picture for each patient. Understanding the complex biological mechanisms underlying these symptoms and the protein networks involved may be useful for early diagnosis and identification of pharmacological targets.
METHODS: In the present study, we combined three approaches (i) a text-mining analysis to perform a systematic search of proteins over existing literature, (ii) a functional enrichment analysis to identify the biological pathways in which proteins are most involved, and (iii) a protein-protein interaction (PPI) network to identify which proteins modulate the most strongly the symptomatology of endometriosis.
RESULTS: Two hundred seventy-eight proteins associated with endometriosis symptomatology in the scientific literature were extracted. Thirty-five proteins were selected according to degree and betweenness scores criteria. The most enriched biological pathways associated with these symptoms were (i) Interleukin-4 and Interleukin-13 signaling (p = 1.11 x 10-16), (ii) Signaling by Interleukins (p = 1.11 x 10-16), (iii) Cytokine signaling in Immune system (p = 1.11 x 10-16), and (iv) Interleukin-10 signaling (p = 5.66 x 10-15).
CONCLUSION: Our study identified some key proteins with the ability to modulate endometriosis symptomatology. Our findings indicate that both pro- and anti-inflammatory biological pathways may play important roles in the symptomatology of endometriosis. This approach represents a genuine systemic method that may complement traditional experimental studies. The current data can be used to identify promising biomarkers for early diagnosis and potential therapeutic targets.},
	language = {eng},
	journal = {Frontiers in Endocrinology},
	author = {El Idrissi, Fatima and Fruchart, Mathilde and Belarbi, Karim and Lamer, Antoine and Dubois-Deruy, Emilie and Lemdani, Mohamed and N'Guessan, Assi L. and Guinhouya, Benjamin C. and Zitouni, Djamel},
	year = {2022},
	pmid = {36120440},
	pmcid = {PMC9478376},
	keywords = {Endometriosis, Female, Humans, Interleukin-10, Interleukin-13, Interleukin-4, Protein Interaction Maps, cell signaling, endometrium, female infertility, systems biology, text-mining},
	pages = {869053},
}



@article{oubenali_visualization_2022,
	title = {Visualization of medical concepts represented using word embeddings: a scoping review},
	volume = {22},
	issn = {1472-6947},
	shorttitle = {Visualization of medical concepts represented using word embeddings},
	doi = {10.1186/s12911-022-01822-9},
	abstract = {BACKGROUND: Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approaches in natural language processing (NLP), to learn dense and low-dimensional word representations from large unlabeled corpora that capture the implicit semantics of words. Models like Word2Vec, GloVe or FastText have been broadly applied and reviewed in the bioinformatics and healthcare fields, most often to embed clinical notes or activity and diagnostic codes. Visualization of the learned embeddings has been used in a subset of these works, whether for exploratory or evaluation purposes. However, visualization practices tend to be heterogeneous, and lack overall guidelines.
OBJECTIVE: This scoping review aims to describe the methods and strategies used to visualize medical concepts represented using word embedding methods. We aim to understand the objectives of the visualizations and their limits.
METHODS: This scoping review summarizes different methods used to visualize word embeddings in healthcare. We followed the methodology proposed by Arksey and O'Malley (Int J Soc Res Methodol 8:19-32, 2005) and by Levac et al. (Implement Sci 5:69, 2010) to better analyze the data and provide a synthesis of the literature on the matter.
RESULTS: We first obtained 471 unique articles from a search conducted in PubMed, MedRxiv and arXiv databases. 30 of these were effectively reviewed, based on our inclusion and exclusion criteria. 23 articles were excluded in the full review stage, resulting in the analysis of 7 papers that fully correspond to our inclusion criteria. Included papers pursued a variety of objectives and used distinct methods to evaluate their embeddings and to visualize them. Visualization also served heterogeneous purposes, being alternatively used as a way to explore the embeddings, to evaluate them or to merely illustrate properties otherwise formally assessed.
CONCLUSIONS: Visualization helps to explore embedding results (further dimensionality reduction, synthetic representation). However, it does not exhaust the information conveyed by the embeddings nor constitute a self-sustaining evaluation method of their pertinence.},
	language = {eng},
	number = {1},
	journal = {BMC medical informatics and decision making},
	author = {Oubenali, Naima and Messaoud, Sabrina and Filiot, Alexandre and Lamer, Antoine and Andrey, Paul},
	month = mar,
	year = {2022},
	pmid = {35351120},
	pmcid = {PMC8962592},
	keywords = {Data mining, Databases, Factual, Deep learning, Electronic Health Records, Humans, Medical, Natural Language Processing, Natural language processing, PubMed, Semantics, Visualization, Word embeddings},
	pages = {83},
}



@incollection{lamer_masters_2022,
	title = {Master’s {Degree} in {Health} {Data} {Science}: {Implementation} and {Assessment} {After} {Five} {Years}},
	shorttitle = {Master’s {Degree} in {Health} {Data} {Science}},
	url = {https://ebooks.iospress.nl/doi/10.3233/SHTI220906},
	urldate = {2024-01-18},
	booktitle = {Digital {Professionalism} in {Health} and {Care}: {Developing} the {Workforce}, {Building} the {Future}},
	publisher = {IOS Press},
	author = {Lamer, Antoine and Oubenali, Naima and Marcilly, Romaric and Fruchart, Mathilde and Guinhouya, Benjamin},
	year = {2022},
	doi = {10.3233/SHTI220906},
	pages = {51--55},
}



@article{mastellari_exploring_2024,
	title = {Exploring seasonality in catatonia diagnosis: {Evidence} from a large-scale population study},
	volume = {331},
	issn = {0165-1781},
	shorttitle = {Exploring seasonality in catatonia diagnosis},
	url = {https://www.sciencedirect.com/science/article/pii/S0165178123006029},
	doi = {10.1016/j.psychres.2023.115652},
	abstract = {Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September–October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.},
	urldate = {2023-12-11},
	journal = {Psychiatry Research},
	author = {Mastellari, Tomas and Saint-Dizier, Chloé and Fovet, Thomas and Geoffroy, Pierre-Alexis and Rogers, Jonathan and Lamer, Antoine and Amad, Ali},
	month = jan,
	year = {2024},
	keywords = {Catatonia, Catatonic syndrome, Diagnosis of catatonia, Onset of catatonia, Seasonality, Seasons},
	pages = {115652},
}



@article{elefterion_intraoperative_2023,
	title = {Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients: a ten-year retrospective cohort-study},
	issn = {1528-1175},
	shorttitle = {Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients},
	doi = {10.1097/ALN.0000000000004848},
	abstract = {BACKGROUND: Postoperative Pulmonary Complications (PPC) is a major issue that impacts outcomes of surgical patients. Our hypothesis was that the intraoperative ventilation parameters are associated with occurrence of PPCs.
METHODS: We conducted a single-center retrospective cohort-study at the Lille University Hospital, France. We included 33701 adults undergoing non-cardiac non-thoracic elective surgery requiring general anesthesia with tracheal intubation between January 2010 and December 2019. We compared intraoperative ventilation parameters between patients with and without one or more PPC (respiratory infection, respiratory failure, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis) within 7 days of surgery.
RESULTS: Among 33701 patients, 2033 (6.0\%) had one or more PPCs. Lower Tidal Volume to Predicted Body Weight ratio (OR per -1 ml.kgPBW-1: 1.08 95\%CI: 1.02 to 1.14, p{\textless}0.001), higher mechanical power (OR per 4J.min -1: 1.37, 95\%CI: 1.26 to 1.49, p{\textless}0.001), dynamic respiratory system compliance {\textless} 30 ml.cmH2O, (1.30 [1.15 to 1.46], p{\textless}0.001), SpO2 below 96\% (OR: 2.42, 95\%CI: 1.97 to 2.96, p{\textless}0.001) and lower EtCO2 (OR per -3 mmHg: 1.06, 95\%CI: 1.00 to 1.13, p=0.023) were independently associated with PPCs. Patients with PPCs were more likely to be admitted to the Intensive Care Unit (OR: 12.5, 95\%CI: 6.6-10.1, p{\textless}0.001), had longer hospital Length of stay (sHR: 0.43, 95CI: 0.40-0.45), and higher in-hospital (sHR: 6.0, 95\%CI: 4.1-9.0, p{\textless}0.001) and 1-year mortality (sHR: 2.65, 95\%CI 2.33-3.02, p{\textless}0.001).
CONCLUSIONS: In our population, decreased rather than increased tidal volume, decreased compliance, increased mechanical power, and decreased EtCO2 were independently associated with PPCs.},
	language = {eng},
	journal = {Anesthesiology},
	author = {Elefterion, Bertrand and Cirenei, Cedric and Kipnis, Eric and Cailliau, Emeline and Bruandet, Amélie and Tavernier, Benoit and Lamer, Antoine and Lebuffe, Gilles},
	month = nov,
	year = {2023},
	pmid = {38011027},
}



@article{lamer_organization_2023,
	title = {Organization of {French} outpatient psychiatric clinics and delay to appointment},
	issn = {0013-7006},
	url = {https://www.sciencedirect.com/science/article/pii/S0013700623002014},
	doi = {10.1016/j.encep.2023.09.005},
	abstract = {Objectives
The goals of the study were to obtain a glimpse of the several types of organization of outpatient psychiatric clinics, as well as an overview of delays between a request for and the first appointment. We also look at geographical variability of appointment scheduling delays and assess the impact of the number of new applications on delays.
Methods
We analyzed information collected from a phone survey conducted with the 103 adult outpatient psychiatric clinics of the French region Hauts-de-France. This survey had a one-week inclusion period in November 2022 and focused on the organization and delays before obtaining an appointment.
Results
This study indicates that organizations seem to be homogeneous. Eighty-one outpatient psychiatric clinics (96.4\%) receive with scheduled appointments. The initial evaluation by a nurse followed with a proposal for the organization of care seems to be the common practice. It also appears that primary psychiatric structures were capable of providing a response within a reasonable time frame in making a first appointment with a mental health professional. On the other hand, delays were much longer and heterogeneous for first appointments with psychiatrists and psychologists.
Conclusions
The organizations of the outpatient psychiatric clinics of the French region Hauts-de-France seem homogeneous. The evaluation by a nurse followed with a care proposal is the common practice. Primary psychiatric structures are able to provide a response within a reasonable time, with half the centers proposing an appointment with a nurse within 10.0 days.
Résumé
Objectifs
Les objectifs de l’étude étaient d’obtenir un aperçu des différents types d’organisation des centres médico-psychologiques, ainsi qu’un aperçu des délais entre une demande et le premier rendez-vous. Nous examinons également la variabilité géographique des délais de prise de rendez-vous et évaluons l’impact du nombre de nouvelles demandes sur les délais.
Méthodes
Nous avons analysé les informations recueillies à partir d’une enquête téléphonique menée auprès des 103 centres médico-psychologiques pour adultes de la région française des Hauts-de-France. Cette enquête avait une période d’inclusion d’une semaine en novembre 2022 et portait sur l’organisation et les délais avant l’obtention d’un rendez-vous.
Résultats
Cette étude indique que les organisations des centres médico-psychologiques semblent être homogènes. Quatre-vingt-un centres médico-psychologiques (96,4 \%) reçoivent avec des rendez-vous programmés. L’évaluation initiale par une infirmière suivie d’une proposition d’organisation des soins semble être la pratique courante. Il apparaît également que les centres médico-psychologiques sont capables de fournir une réponse dans un délai raisonnable pour la prise d’un premier rendez-vous avec un professionnel de la santé mentale. En revanche, les délais sont beaucoup plus longs et hétérogènes pour les premiers rendez-vous avec les psychiatres et les psychologues.
Conclusions
Les organisations des centres médico-psychologiques des Hauts-de-France semblent homogènes. L’évaluation par un infirmier, suivie d’une proposition des soins semble être la pratique courante. Les structures primaires de psychiatrie sont capables de fournir une réponse dans un délai raisonnable, en proposant un rendez-vous avec un infirmier dans un délai de 10,0jours pour la moitié des centres.},
	urldate = {2023-12-01},
	journal = {L'Encéphale},
	author = {Lamer, Antoine and Carette, Fanny and Mobi, Héléna and Warembourg, Isabelle and Amariei, Alina and Saint-Dizier, Chloé and Bubrovszky, Maxime},
	month = nov,
	year = {2023},
	keywords = {Care organization, Health facility, Organisation des soins, Outpatient, Psychiatrie, Psychiatry, Soins ambulatoires, Établissement de santé},
}



@article{rozencwajg_sars-cov-2_2021,
	title = {{SARS}-{CoV}-2 vaccination efficacy on hospitalisation and variants},
	volume = {40},
	issn = {2352-5568},
	url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/},
	doi = {10.1016/j.accpm.2021.100874},
	abstract = {We report data regarding three countries with similar healthcare systems which had three different vaccinal strategies between 1st of January and 10th of April 2021: rapid full vaccination (Israel), rapid first-dose vaccination (United Kingdom) and a delayed vaccination strategy (France).},
	number = {3},
	urldate = {2023-11-26},
	journal = {Anaesthesia, Critical Care \& Pain Medicine},
	author = {Rozencwajg, Sacha and Blet, Alice and Lamer, Antoine and Clavier, Thomas and Abou-Arab, Osama and Sigaut, Stéphanie and Bounes, Fanny and James, Arthur and Frasca, Denis and Boisson, Matthieu and Caillard, Anaïs and Carillion, Aude and Fischer, Marc-Olivier},
	month = jun,
	year = {2021},
	pmid = {33946037},
	pmcid = {PMC8088124},
	pages = {100874},
}



@misc{marcilly_evidence-based_2016,
	title = {Evidence-{Based} {Usability} {Database} for {Medication} {Alerting} {Systems}.},
	url = {https://hal.science/hal-04146995},
	urldate = {2023-11-24},
	author = {Marcilly, Romaric and Lamer, Antoine},
	year = {2016},
	note = {Publisher: EFMI
Published: Medical Informatics in Europe},
}



@article{beigne_descriptive_2022,
	title = {[{A} descriptive study of psychiatric care and pre-sentencing psychiatric reports in a {French} high-security prison]},
	issn = {0013-7006},
	doi = {10.1016/j.encep.2021.12.001},
	abstract = {CONTEXT: The high prevalence of psychiatric disorders among people in prison is well documented, and several hypotheses have been proposed to explain this overrepresentation. In France, the decrease in the number of people found by the judge to be not criminally responsible on account of mental disorder after a psychiatric expertise could play a crucial role. The Château-Thierry prison is a high-security correctional facility where prisoners whose integration into a "standard" prison is complicated because of behavioural problems, reside. We conducted the first study to describe the judicial and healthcare trajectories of people incarcerated in this facility.
METHOD: All the people incarcerated in the Château-Thierry prison between May and September 2019 were included in this cross-sectional study. In addition to sociodemographic characteristics, data on the psychiatric care before and during incarceration as well as information on the judicial and prison history were collected. We also analyzed all the pre-sentencing psychiatric reports in order to collect the degree of discernment determined by the psychiatrist expert for each included individual.
RESULTS: Sixty-eight (97\%) of the 70 people detained at the Château-Thierry prison during the study period were included and 92 pre-sentencing psychiatric reports were analyzed. The population studied was exclusively male, with an average age of 40 years, low socio-economic status and frequent criminal history (79\%). About half of them (46\%) had already been hospitalized in a psychiatric community hospital prior to incarceration, and 79\% have been hospitalized in a psychiatric facility during their incarceration. Disciplinary sanctions were frequent (72\%) as well as convictions for offenses committed while in prison (57\%). When at least one pre-sentencing psychiatric report was carried out (29 persons had a single psychiatric forensic evaluation and 27 ones had multiple evaluations), at least one psychiatric expert had concluded to a diminished (but not lack of) criminal responsibility in almost half of the cases (44\%).
CONCLUSION: This study shows the extent to which people incarcerated in the Château-Thierry prison are affected by psychiatric disorders. It also highlights the difficulties of coping with the prison environment for people suffering from psychiatric disorders. Finally, it raises the question of the lack of diversion programs for the individuals in France with mental health problems whose responsibility has been considered as full or diminished.},
	language = {fre},
	journal = {L'Encephale},
	author = {Beigné, M. and Lamer, A. and Eck, M. and Horn, M. and Benbouriche, M. and Thomas, P. and Amad, A. and Fovet, T.},
	month = mar,
	year = {2022},
	pmid = {35331468},
	keywords = {Diminished criminal responsibility, Expertise psychiatrique pré-sentencielle, Irresponsabilité pénale, Lack of criminal responsibility, Milieu carcéral, Parcours de soins, Pre-sentencing psychiatric report, Prison environment, Psychiatric care, Psychiatric expertise, Troubles psychiatriques},
	pages = {S0013--7006(22)00031--8},
}



@article{fovet_opening_2023,
	title = {Opening the black box of hospitalizations in {French} high-secure psychiatric forensic units},
	issn = {0013-7006},
	doi = {10.1016/j.encep.2023.04.008},
	abstract = {INTRODUCTION: Basic epidemiological data are rare concerning the activity of specialized forensic psychiatric facilities in France. Here, we investigated the activity of the ten (640 beds) French "units for difficult patients" (unités pour malades difficiles [UMDs]).
METHOD: We used the Programme de médicalisation des systèmes d'information (PMSI) database to describe the characteristics and evolution of psychiatric hospitalisations in UMDs between 2012 and 2021, as well as the age, sex, and principal diagnoses of the patients hospitalized in these facilities.
RESULTS: Between 2012 and 2021, 4857 patients were hospitalized in UMDs (6082 stays). Among them, 897 (18.5\%) had more than one stay. The number of admissions ranged from a minimum of 434 to a maximum of 632 per year. The number of discharges ranged from a minimum of 473 to a maximum of 609 per year. The mean length of stay was 13.5 (SD: 22.64) months with a median of 7.3 months (IQR: 4.0-14.4). Among the 6082 stays, 5721 (94.1\%) involved male patients. The median age was 33 (IQR: 26-41) years. The most frequent principal psychiatric diagnoses were psychotic disorders and personality disorders.
CONCLUSION: The number of individuals hospitalized in specialized forensic psychiatric facilities has been stable for 10 years in France and remains lower than in most European countries.},
	language = {eng},
	journal = {L'Encephale},
	author = {Fovet, Thomas and Saint-Dizier, Chloé and Wathelet, Marielle and Horn, Mathilde and Thomas, Pierre and Guillin, Olivier and Coldefy, Magali and D'Hondt, Fabien and Amad, Ali and Lamer, Antoine},
	month = may,
	year = {2023},
	pmid = {37246100},
	keywords = {Data reuse, Forensic psychiatry, France, Psychiatrie légale, Réutilisation des données, Unité pour malades difficiles},
	pages = {S0013--7006(23)00079--9},
}



@article{m_implementation_2022,
	title = {Implementation of a {Data} {Warehouse} in {Primary} {Care}: {First} {Analyses} with {Elderly} {Patients}},
	volume = {294},
	issn = {1879-8365},
	shorttitle = {Implementation of a {Data} {Warehouse} in {Primary} {Care}},
	url = {https://pubmed.ncbi.nlm.nih.gov/35612131/},
	doi = {10.3233/SHTI220510},
	abstract = {The implementation of clinical data warehouses has advanced in recent years. The standardization of clinical data in these warehouses has made it possible to carry out multicenter studies and to formalize the clinical vocabulary. However, there is limited insight into a patient's overall care pathwa …},
	language = {en},
	urldate = {2023-11-21},
	journal = {Studies in health technology and informatics},
	author = {M, Fruchart and P, Quindroit and H, Patel and Jb, Beuscart and M, Calafiore and A, Lamer},
	month = may,
	year = {2022},
	pmid = {35612131},
	note = {Publisher: Stud Health Technol Inform},
}



@article{boudis_automated_2021,
	title = {Automated {Generation} of {Individual} and {Population} {Clinical} {Pathways} with the {OMOP} {Common} {Data} {Model}},
	volume = {281},
	issn = {1879-8365},
	doi = {10.3233/SHTI210152},
	abstract = {INTRODUCTION: Clinical pathways represents the sequence of interventions from which the patients benefit during their encounters with health care structures. There are several complex issues which make it difficult to represent these pathways (e.g. high numbers of patients, heterogeneity of variables).
METHODS: We developed a tool to automate the representation of clinical pathways, from an individual and population points of view, and based on the OMOP CDM. The tool implemented the Sankey diagram in three stages: (i) data extraction, (ii) generation of individual sequence of steps and (iii) aggregation of sequence to obtain the population-level diagram. We tested the tool with three surgery procedures: the total hip replacement, the coronary bypass and the transcatheter aortic valve implantation.
RESULTS: The tool provided different ways of visualizing pathways depending on the question asked: a pathway before a surgery, the pathway of deceased patients or the complete pathway with different steps of interest.
DISCUSSION: We proposed a tool automating the representation of the clinical pathways, and reducing complexity of visualization. Representations are detailed from an individual and population points of view. It has been tested with three surgical procedures. The tool functionalities will be extended to cover a greater number of use cases.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Boudis, Fabio and Clement, Guillaume and Bruandet, Amelie and Lamer, Antoine},
	month = may,
	year = {2021},
	pmid = {34042737},
	keywords = {Data reuse, Data visualization, OMOP, Pathway, Sankey diagram},
	pages = {218--222},
}



@article{lamer_exploring_2020,
	title = {Exploring {Patient} {Path} {Through} {Sankey} {Diagram}: {A} {Proof} of {Concept}},
	volume = {270},
	issn = {1879-8365},
	shorttitle = {Exploring {Patient} {Path} {Through} {Sankey} {Diagram}},
	doi = {10.3233/SHTI200154},
	abstract = {Managers, physicians and researchers need to study patient's path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the trajectory of a population that experienced an event. This representation was tested with two case studies in populations from the anesthesia data warehouse of Lille University Hospital. For the 551 patients undergoing a pancreaticoduodenectomy, Sankey diagram helped us identify atypical care paths of patient being transferred too late in an intensive care unit. For 473953 patients who have had anesthesia procedure, Sankey diagram highlighted that mortality and re-operation rates increase with the number of operations. This preliminary work has been well received by end-users and allowed managers, physicians and researchers to visualize the paths of patients and to provide visualization support for research questions. This work will be followed by generalization.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Lamer, Antoine and Laurent, Gery and Pelayo, Sylvia and El Amrani, Mehdi and Chazard, Emmanuel and Marcilly, Romaric},
	month = jun,
	year = {2020},
	pmid = {32570378},
	keywords = {Data Reuse, Data Visualization, Data Warehousing, Humans, Intensive Care Units, Pancreaticoduodenectomy, Patient Care Management, Patient Path, Physicians, Quality of Health Care, Sankey Diagram},
	pages = {218--222},
}



@article{lamer_automated_2016,
	title = {Automated {Data} {Aggregation} for {Time}-{Series} {Analysis}: {Study} {Case} on {Anaesthesia} {Data} {Warehouse}},
	volume = {221},
	issn = {0926-9630},
	shorttitle = {Automated {Data} {Aggregation} for {Time}-{Series} {Analysis}},
	abstract = {Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Lamer, Antoine and Jeanne, Mathieu and Ficheur, Grégoire and Marcilly, Romaric},
	year = {2016},
	pmid = {27071886},
	pages = {102--106},
}



@article{paris_transformation_2021,
	title = {Transformation and {Evaluation} of the {MIMIC} {Database} in the {OMOP} {Common} {Data} {Model}: {Development} and {Usability} {Study}},
	volume = {9},
	issn = {2291-9694},
	shorttitle = {Transformation and {Evaluation} of the {MIMIC} {Database} in the {OMOP} {Common} {Data} {Model}},
	doi = {10.2196/30970},
	abstract = {BACKGROUND: In the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) is the first open access database in the ICU domain. Many studies have shown that common data models (CDMs) improve database searching by allowing code, tools, and experience to be shared. The Observational Medical Outcomes Partnership (OMOP) CDM is spreading all over the world.
OBJECTIVE: The objective was to transform MIMIC into an OMOP database and to evaluate the benefits of this transformation for analysts.
METHODS: We transformed MIMIC (version 1.4.21) into OMOP format (version 5.3.3.1) through semantic and structural mapping. The structural mapping aimed at moving the MIMIC data into the right place in OMOP, with some data transformations. The mapping was divided into 3 phases: conception, implementation, and evaluation. The conceptual mapping aimed at aligning the MIMIC local terminologies to OMOP's standard ones. It consisted of 3 phases: integration, alignment, and evaluation. A documented, tested, versioned, exemplified, and open repository was set up to support the transformation and improvement of the MIMIC community's source code. The resulting data set was evaluated over a 48-hour datathon.
RESULTS: With an investment of 2 people for 500 hours, 64\% of the data items of the 26 MIMIC tables were standardized into the OMOP CDM and 78\% of the source concepts mapped to reference terminologies. The model proved its ability to support community contributions and was well received during the datathon, with 160 participants and 15,000 requests executed with a maximum duration of 1 minute.
CONCLUSIONS: The resulting MIMIC-OMOP data set is the first MIMIC-OMOP data set available free of charge with real disidentified data ready for replicable intensive care research. This approach can be generalized to any medical field.},
	language = {eng},
	number = {12},
	journal = {JMIR medical informatics},
	author = {Paris, Nicolas and Lamer, Antoine and Parrot, Adrien},
	month = dec,
	year = {2021},
	pmid = {34904958},
	keywords = {OMOP, big data, common data model, critical care, data reuse, digital health, electronic health records, health care, health data, health database, health informatics, intensive care, machine learning, open access database, open data},
	pages = {e30970},
}



@article{perrot_relationship_2021,
	title = {The {Relationship} between the {Immigrant} {Rate} and {Health} {Status} in the {General} {Population} in {France}},
	volume = {11},
	issn = {2075-4426},
	doi = {10.3390/jpm11070627},
	abstract = {Mostly studied at the individual level, the analysis of immigrants' health status at a populational level may provide a different perspective to investigate, including social determinants as part of the explanation of the relationship between them and health status in France. We analyzed freely accessible databases curated by French public bodies. The dependent variables were death rate and mean age at death. Immigrant rate and covariates associated with either of the outcomes were explored in univariate and multivariate models. Linear models were used to explain the mean age at death, whereas tobit models were used to explain the death rate. The immigrant rate varied markedly from one department to another, as did healthcare accessibility, population's age profile, and economic covariates. Considering univariate models, almost all the studied covariates were significantly associated with comes. The immigrant rate was associated with a lower death rate and a lower age at death. In multivariate models, the immigrant rate was no longer associated with age at death but was still negatively associated with the death rate. In France, the departments with a higher proportion of immigrants were those with a lower death rate, possibly because immigrants are attracted to economically thriving areas.},
	language = {eng},
	number = {7},
	journal = {Journal of Personalized Medicine},
	author = {Perrot, Jeanne and Hamel, Jean-François and Lamer, Antoine and Levaillant, Mathieu},
	month = jun,
	year = {2021},
	pmid = {34209284},
	pmcid = {PMC8306287},
	keywords = {health determinants, health inequality, immigrant, poverty},
	pages = {627},
}



@article{lamer_methodology_2016,
	title = {Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series: {Proposal} for an adaptable algorithm},
	volume = {129},
	issn = {1872-7565},
	shorttitle = {Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series},
	doi = {10.1016/j.cmpb.2016.01.004},
	abstract = {Abnormal values of vital parameters such as hypotension or tachycardia may occur during anesthesia and may be detected by analyzing time-series data collected during the procedure by the Anesthesia Information Management System. When crossed with other data from the Hospital Information System, abnormal values of vital parameters have been linked with postoperative morbidity and mortality. However, methods for the automatic detection of these events are poorly documented in the literature and differ between studies, making it difficult to reproduce results. In this paper, we propose a methodology for the automatic detection of abnormal values of vital parameters. This methodology uses an algorithm allowing the configuration of threshold values for any vital parameters as well as the management of missing data. Four examples illustrate the application of the algorithm, after which it is applied to three vital signs (heart rate, SpO2, and mean arterial pressure) to all 2014 anesthetic records at our institution.},
	language = {eng},
	journal = {Computer Methods and Programs in Biomedicine},
	author = {Lamer, Antoine and Jeanne, Mathieu and Marcilly, Romaric and Kipnis, Eric and Schiro, Jessica and Logier, Régis and Tavernier, Benoît},
	month = jun,
	year = {2016},
	pmid = {26817405},
	keywords = {Algorithm, Anesthesia, Medical Informatics, Medical informatics, Time-series data analysis},
	pages = {160--171},
}



@article{levaillant_impact_2021,
	title = {Impact of {COVID}-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups: a {French} nationwide study},
	issn = {1469-8978},
	shorttitle = {Impact of {COVID}-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups},
	doi = {10.1017/S0033291721004839},
	abstract = {BACKGROUND: Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years.
METHODS: A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period.
RESULTS: Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude.
CONCLUSIONS: Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.},
	language = {eng},
	journal = {Psychological Medicine},
	author = {Levaillant, M. and Wathelet, M. and Lamer, A. and Riquin, E. and Gohier, B. and Hamel-Broza, J.-F.},
	month = dec,
	year = {2021},
	pmid = {34904556},
	pmcid = {PMC8692848},
	keywords = {Adolescent, Anti-Anxiety Agents, Antidepressive Agents, COVID-19, Cohort Studies, Communicable Disease Control, Humans, Hypnotics and Sedatives, Infant, Newborn, Pandemics, Young Adult, mental health, pharmacoepidemiology, psychiatry, psychotropic drugs},
	pages = {1--7},
}



@article{moussa_evaluation_2021,
	title = {Evaluation of {Anti}-{Activated} {Factor} {X} {Activity} and {Activated} {Partial} {Thromboplastin} {Time} {Relations} and {Their} {Association} with {Bleeding} and {Thrombosis} during {Veno}-{Arterial} {ECMO} {Support}: {A} {Retrospective} {Study}},
	volume = {10},
	copyright = {http://creativecommons.org/licenses/by/3.0/},
	shorttitle = {Evaluation of {Anti}-{Activated} {Factor} {X} {Activity} and {Activated} {Partial} {Thromboplastin} {Time} {Relations} and {Their} {Association} with {Bleeding} and {Thrombosis} during {Veno}-{Arterial} {ECMO} {Support}},
	url = {https://www.mdpi.com/2077-0383/10/10/2158},
	doi = {10.3390/jcm10102158},
	abstract = {Background: We aimed to investigate the relationship between anti-activated Factor X (anti-FXa) and activated Partial Thromboplastin Time (aPTT), and its modulation by other haemostasis co-variables during veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support. We further investigated their association with serious bleeding and thrombotic complications. Methods: This retrospective single-center study included 265 adults supported by VA-ECMO for refractory cardiogenic shock from January 2015 to June 2019. The concordance of anti-FXa and aPTT and their correlations were assessed in 1699 paired samples. Their independent associations with serious bleeding or thrombotic complications were also analysed in multivariate analysis. Results: The concordance rate of aPTT with anti-FXa values was 50.7\%, with 39.3\% subtherapeutic aPTT values. However, anti-FXa and aPTT remained associated (β = 0.43 (95\% CI 0.4–0.45) 10−2 IU/mL, p \&lt; 0.001), with a significant modulation by several biological co-variables. There was no association between anti-FXa nor aPTT values with serious bleeding or with thrombotic complications. Conclusion: During VA-ECMO, although anti-FXa and aPTT were significantly associated, their values were highly discordant with marked sub-therapeutic aPTT values. These results should favour the use of anti-FXa. The effect of biological co-variables and the failure of anti-FXa and aPTT to predict bleeding and thrombotic complications underline the complexity of VA-ECMO-related coagulopathy.},
	language = {en},
	number = {10},
	urldate = {2021-05-17},
	journal = {Journal of Clinical Medicine},
	author = {Moussa, Mouhamed Djahoum and Soquet, Jérôme and Lamer, Antoine and Labreuche, Julien and Gantois, Guillaume and Dupont, Annabelle and Abou-Arab, Osama and Rousse, Natacha and Liu, Vincent and Brandt, Caroline and Foulon, Valentin and Leroy, Guillaume and Schurtz, Guillaume and Jeanpierre, Emmanuel and Duhamel, Alain and Susen, Sophie and Vincentelli, André and Robin, Emmanuel},
	month = jan,
	year = {2021},
	note = {Number: 10
Publisher: Multidisciplinary Digital Publishing Institute},
	keywords = {activated partial thromboplastin time, anti-factor Xa, bleeding, extracorporeal membrane oxygenation, intravenous unfractionated heparin monitoring, thrombotic complications},
	pages = {2158},
}



@misc{noauthor_antoine_2021,
	title = {Antoine {Lamer} / omop\_anesthesia · {GitLab}},
	url = {https://gitlab.com/antoinelamer/omop_anesthesia},
	abstract = {GitLab.com},
	language = {fr},
	urldate = {2023-11-15},
	journal = {GitLab},
	month = mar,
	year = {2021},
}



@article{jauffret_association_2023,
	title = {Association between sarcopenia and risk of major adverse cardiac and cerebrovascular events-{UK} {Biobank} database},
	issn = {1532-5415},
	doi = {10.1111/jgs.18664},
	abstract = {BACKGROUND: Few studies on the risk of incident major adverse cardiac and cerebrovascular events (MACCEs) in sarcopenia have been reported. The objective was to assess the association between presarcopenia and sarcopenia and a higher risk of MACCEs.
METHODS: This study on the UK Biobank prospective cohort, used data collected between 2006 and 2021. Community-dwelling Caucasian participants aged 37 to 73 years were included if values for Handgrip Strength (HGS) and Skeletal Muscle Index (SMI) were available and if no history of MACCEs was reported. Exposure was assessed using the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was measured using HGS, and muscle mass using the SMI. Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, whereas sarcopenia was defined as low HGS with low SMI. The main outcome was to determine whether presarcopenia and/or sarcopenia were predictors of MACCEs (composite events).
RESULTS: A total of 406,411 included participants (women: 55.7\%) were included. At baseline, there were 18,257 (4.7\%) presarcopenics-subgroup n°1 (low HGS only), 7940 (2.1\%) presarcopenics-subgroup n°2 (low SMI only), and 1124 (0.3\%) sarcopenics. Over a median follow-up of 12.1 years (IQR: [11.4; 12.8]), 28,300 participants (7.0\%) were diagnosed with at least one event. Compared to NonSarc, presarcopenic (subgroups n°1 and n°2) and sarcopenic status were significantly associated with a higher risk of MACCEs (respectively fully adjusted HRs: HR = 1.25 [95\% CI: 1.19; 1.31], HR = 1.33 [95\% CI: 1.23; 1.45] and HR = 1.62 [95\% CI: 1.34; 1.95]).
CONCLUSIONS: In a community-dwelling population, the risk of MACCEs was higher in both presarcopenic and sarcopenic participants.},
	language = {eng},
	journal = {Journal of the American Geriatrics Society},
	author = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},
	month = nov,
	year = {2023},
	pmid = {37945290},
	keywords = {UK Biobank, major cardiac and cerebrovascular event, presarcopenia, sarcopenia},
}



@article{moussa_p2662prognostic_2018,
	title = {{P2662Prognostic} value of postoperative high-sensitivity troponin among patients undergoing fenestrated and/or branched endovascular aortic aneurysm repair},
	volume = {39},
	issn = {0195-668X},
	url = {https://doi.org/10.1093/eurheartj/ehy565.P2662},
	doi = {10.1093/eurheartj/ehy565.P2662},
	abstract = {Introduction: Patients undergoing fenestrated/branched endovascular aortic repairs (F/B-EVAR) are particularly at risk of myocardial injury after non-cardiac surgery (MINS). The recently introduced high-sensitivity troponin (HsTnT) may allow better diagnosis of MINS as compared to former troponin assays. However HsTnT prognostic value has not been evaluated in F/B-EVAR patients.Purpose: Our objectives were to assess the prognostic value of postoperative HsTnT in patients undergoing F/B-EVAR and to identify the optimal threshold of HsTnT that defines MINS in this population.},
	number = {suppl\_1},
	urldate = {2023-11-13},
	journal = {European Heart Journal},
	author = {Moussa, M D and Lamer, A and Mass, G and Louvel, P and Lecaitel, S and Hertault, A and Gantois, G and Leroy, G and Ait-Ouarab, S and Brandt, C and Kipnis, E and Sobocinski, J and Tavernier, B and Haulon, S and Robin, E},
	month = aug,
	year = {2018},
	pages = {ehy565.P2662},
}



@article{moussa_subclavian_2022,
	title = {Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation: {A} propensity-matched comparison},
	volume = {41},
	issn = {1557-3117},
	shorttitle = {Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation},
	doi = {10.1016/j.healun.2022.01.007},
	abstract = {BACKGROUND: During peripheral extracorporeal veno-arterial membrane oxygenation (VA-ECMO) support, subclavian arterial cannulation provides, in comparison to femoral arterial cannulation, an anterograde flow which may prevent from left ventricular (LV) distention and improve outcomes. We aimed to compare the effectiveness of subclavian cannulation to femoral cannulation in reducing LV overdistension consequences, hemostatic complications and mortality.
METHODS: This retrospective study conducted in two intensive care units of the Lille academic hospitals from January 2013 to December 2019 included 372 non-moribund adult patients supported by VA-ECMO. The primary endpoint was a new onset of pulmonary edema (PO) or LV unloading. Secondary endpoints were myocardial recovery, serious bleeding (according to Extracorporeal Life Support Organization definition), thrombotic complications (a composite of stroke, cannulated limb or mesenteric ischemia, intracardiac or aortic-root thrombosis) and 28 day mortality. Differences in outcomes were analyzed using propensity score matching (PSM) and inverse probability of treatment weighting adjustment (IPTW).
RESULTS: As compared to femoral cannulation (n = 320 patients), subclavian cannulation (n = 52 patients) did not reduce the occurrence of new onset of PO or LV unloading after PSM [HR 0.99 (95\% CI 0.51-1.91)]. There was no other difference in outcomes in PSM cohort. In IPTW adjustment cohort, subclavian cannulation was associated with reduced recovery and increased serious bleeding with four accidental decannulations observed.
CONCLUSION: Subclavian artery cannulation was not associated with reduced LV distension related complications, thrombotic complications and 28 day mortality. Rather, it may increase serious bleeding and accidental decannulations, and reduce recovery. Therefore, subclavian cannulation should be limited to vascular accessibility issues.},
	language = {eng},
	number = {5},
	journal = {The Journal of Heart and Lung Transplantation: The Official Publication of the International Society for Heart Transplantation},
	author = {Moussa, Mouhamed Djahoum and Rousse, Natacha and Abou Arab, Osama and Lamer, Antoine and Gantois, Guillaume and Soquet, Jerome and Liu, Vincent and Mugnier, Agnès and Duburcq, Thibault and Petitgand, Vincent and Foulon, Valentin and Dumontet, Jocelyn and Deblauwe, Delphine and Juthier, Francis and Desbordes, Jacques and Loobuyck, Valentin and Labreuche, Julien and Robin, Emmanuel and Vincentelli, André},
	month = may,
	year = {2022},
	pmid = {35090808},
	keywords = {Adult, Catheterization, Extracorporeal Membrane Oxygenation, Hemorrhage, Humans, Propensity Score, Retrospective Studies, Veno-arterial extracorporeal membrane oxygenation (ECMO), left ventricle distension, mortality, pulmonary edema, serious bleeding thrombotic complications},
	pages = {608--618},
}



@article{puigrenier_mild_2022,
	title = {Mild pulmonary hemodynamic alterations in patients with systemic sclerosis: relevance of the new 2022 {ESC}/{ERS} definition of pulmonary hypertension and impact on mortality},
	volume = {23},
	issn = {1465-993X},
	shorttitle = {Mild pulmonary hemodynamic alterations in patients with systemic sclerosis},
	doi = {10.1186/s12931-022-02205-4},
	abstract = {BACKGROUND AND OBJECTIVE: The definition of pre-capillary pulmonary hypertension (PH) has been modified, with lowering of the mean pulmonary arterial pressure (mPAP) threshold from 25 to 20 mmHg and addition of a mandatory criterion of pulmonary vascular resistance (PVR) ≥ 2 Wood units (WU). Our objectives were: 1/ to estimate the proportion of patients reclassified as having pre-capillary PH when using the new 2022 ESC/ERS hemodynamic criteria (i.e. mPAP 21-24 mmHg and PVR ≥ 2 WU), and to describe their clinical characteristics and outcome; and 2/ to study the relationship between PVR and survival in patients with mPAP {\textgreater} 20 mmHg.
METHODS: We retrospectively analyzed consecutive SSc patients included in our National Reference Center for a first right-heart catheterization between 2003 and 2018. The association between survival and PVR was studied using smoothing splines.
RESULTS: We included 126 SSc patients with mPAP {\textgreater} 20 mmHg. Among them, 16 (13\%) had a baseline mPAP value between 21 and 24 mmHg and PVR ≥ 2 mmHg and were reclassified as pre-capillary PH; 10 of which (62\%) raised their mPAP ≥ 25 mmHg during follow-up. In patients with mPAP {\textgreater} 20 mmHg, we observed a linear relation between PVR and mortality for values {\textless} 6 WU.
CONCLUSION: A significant proportion of SSc patients is reclassified as having pre-capillary PH with the new 2022 ESC/ERS hemodynamic definition. Lowering the PVR threshold from 3 to 2 WU captures patients at risk of raising their mPAP {\textgreater} 25 mmHg, with a possibly less severe disease.},
	language = {eng},
	number = {1},
	journal = {Respiratory Research},
	author = {Puigrenier, Sébastien and Giovannelli, Jonathan and Lamblin, Nicolas and De Groote, Pascal and Fertin, Marie and Bervar, Jean-François and Lamer, Antoine and Edmé, Jean-Louis and Balquet, Marie-Hélène and Sobanski, Vincent and Launay, David and Hachulla, Éric and Sanges, Sébastien},
	month = oct,
	year = {2022},
	pmid = {36243869},
	pmcid = {PMC9571468},
	keywords = {Diagnostic criteria, Hemodynamics, Humans, Hypertension, Pulmonary, Mortality, Pulmonary arterial hypertension, Pulmonary hypertension, Pulmonary vascular resistance, Retrospective Studies, Scleroderma, Systemic, Systemic sclerosis, Vascular Resistance},
	pages = {284},
}



@article{fruchart_publication_2023,
	title = {Publication {Dynamics} on {Social} {Media} {During} the {Orpea} {Nursing} {Homes} {Scandal}: {A} {Twitter} {Analysis}},
	volume = {302},
	issn = {1879-8365},
	shorttitle = {Publication {Dynamics} on {Social} {Media} {During} the {Orpea} {Nursing} {Homes} {Scandal}},
	doi = {10.3233/SHTI230191},
	abstract = {The release of a book denouncing mistreatment in French nursing home triggered a scandal which was conveyed on social networks. The objectives of this study were to study the temporal trends and dynamics of publication on Twitter during the scandal as well as to identify the main topics of discussion.The first one is spontaneous and completely aligned with the actuality and fed by media and family of residents, while the second one is out of step with current events and fed by the company involved in the scandal.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Fruchart, Mathilde and Verdier, Laetitia and Beuscart, Jean-Baptiste and Lamer, Antoine},
	month = may,
	year = {2023},
	pmid = {37203735},
	keywords = {Humans, Nursing Homes, Social Media, Social Networking, Twitter, data reuse, nursing home, orpea, social media, topic modeling},
	pages = {502--503},
}



@article{saint-dizier_opendatapsy_2023,
	title = {{OpenDataPsy}: {An} {Open}-{Data} {Repository} with {Standardized} {Storage} and {Description} for {Research} in {Psychiatry}},
	volume = {302},
	issn = {1879-8365},
	shorttitle = {{OpenDataPsy}},
	doi = {10.3233/SHTI230288},
	abstract = {Sharing health data could avoid duplication of effort in data collection, reduce unnecessary costs in future studies, and encourage collaboration and data flow within the scientific community. Several repositories from national institutions or research teams have making their datasets available. These data are mainly aggregated at spatial or temporal level, or dedicated to a specific field. The objective of this work is to propose a standardized storage and description of open datasets for research purposes. For this, we selected 8 publicly accessible datasets, covering the fields of demographics, employment, education and psychiatry. Then, we studied the format, nomenclature (i.e., files and variables names, modalities of recurrent qualitative variables) and descriptions of these datasets and we proposed on common and standardized format and description. We made available these datasets in an open gitlab repository. For each dataset, we proposed the raw data file in its original format, the cleaned data file in csv format, the variables description, the data management script and the descriptive statistics. Statistics are generated according to the type of variables previously documented. After one year of use, we will evaluate with the users if the standardization of the data sets is relevant and how they use the dataset in real life.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Saint-Dizier, Chloé and Lamer, Antoine and Zaanouar, Majda and Amariei, Alina and Quindroit, Paul},
	month = may,
	year = {2023},
	pmid = {37203516},
	keywords = {Data Collection, Data Management, Information Storage and Retrieval, Open data, Psychiatry, Records, data reuse, psychiatry, research},
	pages = {851--855},
}



@article{levaillant_france_2023,
	title = {In {France}, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn: {Contribution} from a {French} nationwide study},
	issn = {1879-3479},
	shorttitle = {In {France}, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn},
	doi = {10.1002/ijgo.15004},
	abstract = {OBJECTIVE: To investigate maternal and neonatal outcomes after a delivery in France in 2019, according to hospital characteristics and the impact of distance and time of travel on mother and newborn.
METHODS: All parturients above 18 years of age who delivered in 2019 and were identified in the French health insurance database were included, with their newborns, in this retrospective cohort study. Main outcome measures were Severe Maternal Morbidity score and the Neonatal Adverse Outcome Indicator (NAOI).
RESULTS: Among the 733 052 pregnancies included, 10 829 presented a severe maternal morbidity (1.48\%) and 77 237 had a neonatal adverse outcome (10.4\%). Factors associated with an unfavorable maternal or neonatal outcome were Obstetric Comorbidity Index, primiparity, and cesarean or instrumental delivery. Prematurity was associated with less severe maternal morbidity but more neonatal adverse outcomes. Time of travel above 30 min was associated with a higher NAOI rate.
CONCLUSIONS: Results suggest the efficiency of regionalization of perinatal care in France, although a difference in both outcomes persists according to unit volume, suggesting the need for a further step in concentrating perinatal care. Perinatal care organization should focus on mapping the territory with high-level, high-volume maternity throughout the territory; this suggests closing down high-volume units and improving low-volume ones to maintain coherent mapping.},
	language = {eng},
	journal = {International Journal of Gynaecology and Obstetrics: The Official Organ of the International Federation of Gynaecology and Obstetrics},
	author = {Levaillant, Mathieu and Garabédian, Charles and Legendre, Guillaume and Soula, Julien and Hamel, Jean-François and Vallet, Benoît and Lamer, Antoine},
	month = jul,
	year = {2023},
	pmid = {37485702},
	keywords = {data reuse, delivery, maternity level, perinatal facility mapping, regionalization},
}



@article{levaillant_france_2023-1,
	title = {In {France}, distance from hospital and health care structure impact on outcome after arthroplasty of the hip for proximal fractures of the femur},
	volume = {18},
	issn = {1749-799X},
	doi = {10.1186/s13018-023-03893-4},
	abstract = {BACKGROUND: Hip arthroplasty is a frequently performed procedure in orthopedic surgery, carried out in almost all health structures for two main issues: fracture and coxarthrosis. Even if volume-outcome relationship appeared associated in many surgeries recently, data provided are not sufficient to set surgical thresholds neither than closing down low-volumes centers.
QUESTION: With this study, we wanted to identify surgical, health care-related and territorial factors influencing patient' mortality and readmission after a HA for a femoral fracture in 2018 in France.
PATIENTS AND METHODS: Data were anonymously collected from French nationwide administrative databases. All patients who underwent a hip arthroplasty for a femoral fracture through 2018 were included. Patient outcome was 90-day mortality and 90-day readmission rate after surgery.
RESULTS: Of the 36,252 patients that underwent a HA for fracture in France in 2018, 0.7\% died within 90-day year and 1.2\% were readmitted. Male and Charlson comorbidity index were associated with a higher 90-day mortality and readmission rate in multivariate analysis. High volume was associated with a lower mortality rate. Neither time of travel nor distance upon health facility were associated with mortality nor with readmission rate in the analysis.
CONCLUSION: Even if volume appears to be associated with lower mortality rate even for longer distance and time of travel, the persistence of exogenous factors not documented in the French databases suggests that regionalization of hip arthroplasty should be organized with caution.
CLINICAL RELEVANCE: As volume-outcome relationship must be interpreted with caution, policy makers should not regionalize such surgery without further investigation.},
	language = {eng},
	number = {1},
	journal = {Journal of Orthopaedic Surgery and Research},
	author = {Levaillant, Mathieu and Rony, Louis and Hamel-Broza, Jean-François and Soula, Julien and Vallet, Benoît and Lamer, Antoine},
	month = jun,
	year = {2023},
	pmid = {37296484},
	pmcid = {PMC10257255},
	keywords = {Arthroplasty, Replacement, Hip, Data reuse, Delivery of Health Care, Femoral Fractures, Femur, Hip Fractures, Hip arthroplasty, Hospital, Hospitals, Humans, Male, Quality indicator, Retrospective Studies, Risk Factors, Surgery, Volume–outcome relationship},
	pages = {418},
}



@article{lamer_development_2023,
	title = {Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project},
	volume = {37},
	issn = {1573-2614},
	shorttitle = {Development and usage of an anesthesia data warehouse},
	doi = {10.1007/s10877-022-00898-y},
	abstract = {This paper describes the development and implementation of an anesthesia data warehouse in the Lille University Hospital. We share the lessons learned from a ten-year project and provide guidance for the implementation of such a project. Our clinical data warehouse is mainly fed with data collected by the anesthesia information management system and hospital discharge reports. The data warehouse stores historical and accurate data with an accuracy level of the day for administrative data, and of the second for monitoring data. Datamarts complete the architecture and provide secondary computed data and indicators, in order to execute queries faster and easily. Between 2010 and 2021, 636 784 anesthesia records were integrated for 353 152 patients. We reported the main concerns and barriers during the development of this project and we provided 8 tips to handle them. We have implemented our data warehouse into the OMOP common data model as a complementary downstream data model. The next step of the project will be to disseminate the use of the OMOP data model for anesthesia and critical care, and drive the trend towards federated learning to enhance collaborations and multicenter studies.},
	language = {eng},
	number = {2},
	journal = {Journal of Clinical Monitoring and Computing},
	author = {Lamer, Antoine and Moussa, Mouhamed Djahoum and Marcilly, Romaric and Logier, Régis and Vallet, Benoit and Tavernier, Benoît},
	month = apr,
	year = {2023},
	pmid = {35933465},
	pmcid = {PMC10068662},
	keywords = {Anesthesia, Anesthesia information management system, Data Warehousing, Data reuse, Data warehouse, Database, Humans, Retrospective studies},
	pages = {461--472},
}



@article{doutreligne_good_2023,
	title = {Good practices for clinical data warehouse implementation: {A} case study in {France}},
	volume = {2},
	issn = {2767-3170},
	shorttitle = {Good practices for clinical data warehouse implementation},
	doi = {10.1371/journal.pdig.0000298},
	abstract = {Real-world data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight key aspects of modern clinical data warehouses (CDWs): governance, transparency, types of data, data reuse, technical tools, documentation, and data quality control processes. Semi-structured interviews as well as a review of reported studies on French CDWs were conducted in a semi-structured manner from March to November 2022. Out of 32 regional and university hospitals in France, 14 have a CDW in production, 5 are experimenting, 5 have a prospective CDW project, 8 did not have any CDW project at the time of writing. The implementation of CDW in France dates from 2011 and accelerated in the late 2020. From this case study, we draw some general guidelines for CDWs. The actual orientation of CDWs towards research requires efforts in governance stabilization, standardization of data schema, and development in data quality and data documentation. Particular attention must be paid to the sustainability of the warehouse teams and to the multilevel governance. The transparency of the studies and the tools of transformation of the data must improve to allow successful multicentric data reuses as well as innovations in routine care.},
	language = {eng},
	number = {7},
	journal = {PLOS digital health},
	author = {Doutreligne, Matthieu and Degremont, Adeline and Jachiet, Pierre-Alain and Lamer, Antoine and Tannier, Xavier},
	month = jul,
	year = {2023},
	pmid = {37410797},
	pmcid = {PMC10325086},
	pages = {e0000298},
}



@article{degoul_lntraoperative_2020,
	title = {lntraoperative administration of 6\% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: {A} sequential and propensity-matched analysis},
	volume = {39},
	issn = {2352-5568},
	shorttitle = {lntraoperative administration of 6\% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery},
	url = {https://www.sciencedirect.com/science/article/pii/S2352556820300230},
	doi = {10.1016/j.accpm.2019.08.002},
	abstract = {Background
Intraoperative use of hydroxyethyl starch (HES) may increase the risk of postoperative acute kidney injury (AKI). Data from large populations are lacking. We aimed to assess whether intraoperative administration of 6\% HES 130/0.4 is associated with AKI in non-cardiac surgery.
Methods
This retrospective study used the electronic records concerning elective abdominal, urologic, thoracic and peripheral vascular surgeries from 2010 to 2015. HES and non-HES patients were compared using a propensity score matching. Postoperative AKI, defined by stage 3 of the Kidney Disease Improving Global Outcomes (KDIGO) score, was the primary outcome. Because the use of HES markedly decreased in 2013, additional analyses, restricted to the 2010–2012 period, were also performed.
Results
In total, 23,045, and 11,691 patients were included in the whole, and restricted periods, respectively. The reduction in HES use was not accompanied by any change in the incidence of AKI. Unadjusted association between HES and KDIGO 3 AKI was significant (OR [95\% CI] of 2.13 [1.67, 2.71]). For the whole period, 6460 patients were matched. Odd ratios for KDIGO 3 and all-stage AKI when using HES (10.3±4.7mL.kg−1) were 1.20 (95\% CI [0.74, 1.95]), and 1.21 (95\% CI [0.95, 1.54]), respectively. There was no association with the initiation of renal replacement therapy or in-hospital mortality either. Similar results were found for the restricted period.
Conclusion
The intraoperative use of moderate doses of 6\% HES 130/0.4 was not associated with increased risk of AKI. No conclusion can be drawn for higher doses of HES.},
	number = {2},
	urldate = {2023-10-30},
	journal = {Anaesthesia Critical Care \& Pain Medicine},
	author = {Degoul, Samuel and Chazard, Emmanuel and Lamer, Antoine and Lebuffe, Gilles and Duhamel, Alain and Tavernier, Benoît},
	month = apr,
	year = {2020},
	keywords = {Acute kidney injury, Elective surgical procedures, Hydroxyethyl starch derivatives, Patient outcome assessment},
	pages = {199--206},
}



@article{fruchart_description_2023,
	title = {Description of a {French} {Population} of {Diabetics} {Treated} {Followed} up by {General} {Practitioners}},
	volume = {302},
	issn = {1879-8365},
	doi = {10.3233/SHTI230289},
	abstract = {In France, the prevalence of treated diabetes has been estimated at 4.6\%, or more than 3 million people and 5.2\% in Northern France. The reuse of primary care data allows to study outpatient clinical data such as laboratory results and drug prescriptions, which are not documented in claims and hospital databases. In this study, we selected the population of treated diabetics from the Wattrelos primary care data warehouse, in North of France. Firstly, we studied the laboratory results of diabetics by identifying whether the recommendations of the French National Authority for Health (HAS) were respected. In a second step, we studied the prescriptions of diabetics by identifying the oral hypoglycemic agents treatments and insulins treatments. The diabetic population represents 690 patients of the health care center. The recommendations on labortatory are respected for 84\% of diabetics. The majority of diabetics are treated with oral hypoglycemic agents 68.6\%. As recommended by the HAS, metformin is the first-line treatment in the diabetic population.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Fruchart, Mathilde and Lamer, Antoine and Lemaitre, Madleen and Beuscart, Jean-Baptiste and Calafiore, Matthieu and Quindroit, Paul},
	month = may,
	year = {2023},
	pmid = {37203517},
	keywords = {Diabetes Mellitus, Type 2, Diabetes mellitus, Drug Prescriptions, France, General Practitioners, Humans, Hypoglycemic Agents, Metformin, data reuse, general practitioner, primary care},
	pages = {856--860},
}



@article{jauffret_association_nodate,
	title = {Association {Between} {Sarcopenia} and {Fracture} {Risk} in a {Population} {From} the {UK} {Biobank} {Database}},
	volume = {n/a},
	copyright = {© 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},
	issn = {1523-4681},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884},
	doi = {10.1002/jbmr.4884},
	abstract = {Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as “fracture” (location compatible with an osteoporotic origin) and “major osteoporotic fracture” (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa) and their 95\% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4\%; median age 58.0 years; interquartile range [IQR] 51.0–63.0 years) were included. At baseline, there were 18,257 (4.7\%) presarcopenic participants—subgroup 1 (low HGS only), 7940 (2.1\%) presarcopenic participants—subgroup 2 (low SMI only), and 1124 (0.3\%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4–12.6 years), 18,300 (4.7\%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19–1.33], HR = 1.20 [1.11–1.30], HR = 1.30 [1.08–1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21–1.40], HR = 1.19 [1.08–1.72], HR = 1.18 [0.93–1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},
	language = {en},
	number = {n/a},
	urldate = {2023-10-07},
	journal = {Journal of Bone and Mineral Research},
	author = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},
	note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbmr.4884},
	keywords = {FRACTURES, MUSCLE MASS, MUSCLE STRENGTH, SARCOPENIA, UK BIOBANK},
}



@article{fruchart_identification_2023,
	title = {Identification of early symptoms of endometriosis through the analysis of online social networks: {A} social media study},
	volume = {9},
	issn = {2055-2076},
	shorttitle = {Identification of early symptoms of endometriosis through the analysis of online social networks},
	doi = {10.1177/20552076231176114},
	abstract = {OBJECTIVE: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient's experience. This study aimed at applying a text-mining approach to online social networks in order to identify early signs associated with endometriosis.
METHODS: An automated exploration technique of online forums was performed to extract posts. After a cleaning step of the built corpus, we retrieved all symptoms evoked by women, and connected them to the MedDRA dictionary. Then, temporal markers allowed targeting only the earliest symptoms. The latter were those evoked near a marker of precocity. A co-occurrence approach was further applied to better account for the context of evocations.
RESULTS: Results were visualised using the graph-oriented database Neo4j. We collected 7148 discussions threads and 78,905 posts from 10 French forums. We extracted 41 groups of contextualised symptoms, including 20 groups of early symptoms associated with endometriosis. Among these groups of early symptoms, 13 were found to portray already known signs of endometriosis. The remaining 7 clusters of early symptoms were limb oedema, muscle pain, neuralgia, haematuria, vaginal itching, altered general condition (i.e. dizziness, fatigue, nausea) and hot flush.
CONCLUSION: We pointed out some additional symptoms of endometriosis qualified as early symptoms, which can serve as a screening tool for prevention and/or treatment purpose. The present findings offer an opportunity for further exploration of early biological processes triggering this disease.},
	language = {eng},
	journal = {Digital Health},
	author = {Fruchart, Mathilde and El Idrissi, Fatima and Lamer, Antoine and Belarbi, Karim and Lemdani, Mohamed and Zitouni, Djamel and Guinhouya, Benjamin C.},
	year = {2023},
	pmid = {37228486},
	pmcid = {PMC10204053},
	keywords = {Data reuse, early symptoms, health communication, natural language processing, patient expertise, social media},
	pages = {20552076231176114},
}



@article{chazard_book_2022,
	title = {"{Book} {Music}" {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}: {A} {Novel} {Approach} to {Improve} the {Handling} of {Time}-{Dependent} {Data} in {Secondary} {Use} of {Healthcare} {Structured} {Data}},
	volume = {290},
	issn = {1879-8365},
	shorttitle = {"{Book} {Music}" {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}},
	doi = {10.3233/SHTI220141},
	abstract = {Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the "true" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The "book music" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Chazard, Emmanuel and Balaye, Pierre and Balcaen, Thibaut and Genin, Michaël and Cuggia, Marc and Bouzille, Guillaume and Lamer, Antoine},
	month = jun,
	year = {2022},
	pmid = {35673080},
	keywords = {Data reuse, feature extraction, survival analyses},
	pages = {567--571},
}



@article{kerisit_awareness_2022,
	title = {Awareness and {Perception} of {Google}® {Reviews} {Among} {French} {GPs}},
	volume = {290},
	issn = {1879-8365},
	doi = {10.3233/SHTI220296},
	abstract = {The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25\% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.},
	language = {eng},
	journal = {Studies in Health Technology and Informatics},
	author = {Kerisit, Erwan and Legrand, Bertrand and Calafiore, Matthieu and Rochoy, Michaël and Chazard, Emmanuel and Marcilly, Romaric and Lamer, Antoine},
	month = jun,
	year = {2022},
	pmid = {35673234},
	keywords = {General Practitioners, Internet, Physician rating websites},
	pages = {1118--1119},
}



@article{lamer_transforming_2020,
	title = {Transforming {French} {Electronic} {Health} {Records} into the {Observational} {Medical} {Outcome} {Partnership}'s {Common} {Data} {Model}: {A} {Feasibility} {Study}},
	volume = {11},
	issn = {1869-0327},
	shorttitle = {Transforming {French} {Electronic} {Health} {Records} into the {Observational} {Medical} {Outcome} {Partnership}'s {Common} {Data} {Model}},
	doi = {10.1055/s-0039-3402754},
	abstract = {BACKGROUND: Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses.
OBJECTIVE: This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM.
METHODS: The OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database.
RESULTS: Seventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's "standardized clinical data" section, and three tables from the "standardized health system data" section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364).
CONCLUSION: Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.},
	language = {eng},
	number = {1},
	journal = {Applied Clinical Informatics},
	author = {Lamer, Antoine and Depas, Nicolas and Doutreligne, Matthieu and Parrot, Adrien and Verloop, David and Defebvre, Marguerite-Marie and Ficheur, Grégoire and Chazard, Emmanuel and Beuscart, Jean-Baptiste},
	month = jan,
	year = {2020},
	pmid = {31914471},
	pmcid = {PMC6949163},
	keywords = {Clinical Audit, Databases, Factual, Electronic Health Records, Feasibility Studies, France, Hospitals, Humans, Models, Theoretical, Partnership Practice, Patient Admission},
	pages = {13--22},
}
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January 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0165178123006029\"\n     onclick=\"log_download('mastellari-saintdizier-fovet-geoffroy-rogers-lamer-amad-exploringseasonalityincatatoniadiagnosisevidencefromalargescalepopulationstudy-2024', 'https://www.sciencedirect.com/science/article/pii/S0165178123006029', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.psychres.2023.115652\"\n     onclick=\"log_download('mastellari-saintdizier-fovet-geoffroy-rogers-lamer-amad-exploringseasonalityincatatoniadiagnosisevidencefromalargescalepopulationstudy-2024', 'http://doi.org/10.1016/j.psychres.2023.115652', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mastellari-saintdizier-fovet-geoffroy-rogers-lamer-amad-exploringseasonalityincatatoniadiagnosisevidencefromalargescalepopulationstudy-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mastellari-saintdizier-fovet-geoffroy-rogers-lamer-amad-exploringseasonalityincatatoniadiagnosisevidencefromalargescalepopulationstudy-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{mastellari_exploring_2024,\n\ttitle = {Exploring seasonality in catatonia diagnosis: {Evidence} from a large-scale population study},\n\tvolume = {331},\n\tissn = {0165-1781},\n\tshorttitle = {Exploring seasonality in catatonia diagnosis},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0165178123006029},\n\tdoi = {10.1016/j.psychres.2023.115652},\n\tabstract = {Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September–October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.},\n\turldate = {2023-12-11},\n\tjournal = {Psychiatry Research},\n\tauthor = {Mastellari, Tomas and Saint-Dizier, Chloé and Fovet, Thomas and Geoffroy, Pierre-Alexis and Rogers, Jonathan and Lamer, Antoine and Amad, Ali},\n\tmonth = jan,\n\tyear = {2024},\n\tkeywords = {Catatonia, Catatonic syndrome, Diagnosis of catatonia, Onset of catatonia, Seasonality, Seasons},\n\tpages = {115652},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September–October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (12)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"elefterion-cirenei-kipnis-cailliau-bruandet-tavernier-lamer-lebuffe-intraoperativemechanicalpowerandpostoperativepulmonarycomplicationsinnoncardiothoracicelectivesurgerypatientsatenyearretrospectivecohortstudy-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients: a ten-year retrospective cohort-study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Elefterion, B.; Cirenei, C.; Kipnis, E.; Cailliau, E.; Bruandet, A.; Tavernier, B.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>;  and Lebuffe, G.\n</span>\n\n  \n\n</span>\n\n  <i>Anesthesiology</i>. November 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1097/ALN.0000000000004848\"\n     onclick=\"log_download('elefterion-cirenei-kipnis-cailliau-bruandet-tavernier-lamer-lebuffe-intraoperativemechanicalpowerandpostoperativepulmonarycomplicationsinnoncardiothoracicelectivesurgerypatientsatenyearretrospectivecohortstudy-2023', 'http://doi.org/10.1097/ALN.0000000000004848', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/elefterion-cirenei-kipnis-cailliau-bruandet-tavernier-lamer-lebuffe-intraoperativemechanicalpowerandpostoperativepulmonarycomplicationsinnoncardiothoracicelectivesurgerypatientsatenyearretrospectivecohortstudy-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('elefterion-cirenei-kipnis-cailliau-bruandet-tavernier-lamer-lebuffe-intraoperativemechanicalpowerandpostoperativepulmonarycomplicationsinnoncardiothoracicelectivesurgerypatientsatenyearretrospectivecohortstudy-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{elefterion_intraoperative_2023,\n\ttitle = {Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients: a ten-year retrospective cohort-study},\n\tissn = {1528-1175},\n\tshorttitle = {Intraoperative mechanical power and postoperative pulmonary complications in non-cardiothoracic elective surgery patients},\n\tdoi = {10.1097/ALN.0000000000004848},\n\tabstract = {BACKGROUND: Postoperative Pulmonary Complications (PPC) is a major issue that impacts outcomes of surgical patients. Our hypothesis was that the intraoperative ventilation parameters are associated with occurrence of PPCs.\nMETHODS: We conducted a single-center retrospective cohort-study at the Lille University Hospital, France. We included 33701 adults undergoing non-cardiac non-thoracic elective surgery requiring general anesthesia with tracheal intubation between January 2010 and December 2019. We compared intraoperative ventilation parameters between patients with and without one or more PPC (respiratory infection, respiratory failure, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis) within 7 days of surgery.\nRESULTS: Among 33701 patients, 2033 (6.0\\%) had one or more PPCs. Lower Tidal Volume to Predicted Body Weight ratio (OR per -1 ml.kgPBW-1: 1.08 95\\%CI: 1.02 to 1.14, p{\\textless}0.001), higher mechanical power (OR per 4J.min -1: 1.37, 95\\%CI: 1.26 to 1.49, p{\\textless}0.001), dynamic respiratory system compliance {\\textless} 30 ml.cmH2O, (1.30 [1.15 to 1.46], p{\\textless}0.001), SpO2 below 96\\% (OR: 2.42, 95\\%CI: 1.97 to 2.96, p{\\textless}0.001) and lower EtCO2 (OR per -3 mmHg: 1.06, 95\\%CI: 1.00 to 1.13, p=0.023) were independently associated with PPCs. Patients with PPCs were more likely to be admitted to the Intensive Care Unit (OR: 12.5, 95\\%CI: 6.6-10.1, p{\\textless}0.001), had longer hospital Length of stay (sHR: 0.43, 95CI: 0.40-0.45), and higher in-hospital (sHR: 6.0, 95\\%CI: 4.1-9.0, p{\\textless}0.001) and 1-year mortality (sHR: 2.65, 95\\%CI 2.33-3.02, p{\\textless}0.001).\nCONCLUSIONS: In our population, decreased rather than increased tidal volume, decreased compliance, increased mechanical power, and decreased EtCO2 were independently associated with PPCs.},\n\tlanguage = {eng},\n\tjournal = {Anesthesiology},\n\tauthor = {Elefterion, Bertrand and Cirenei, Cedric and Kipnis, Eric and Cailliau, Emeline and Bruandet, Amélie and Tavernier, Benoit and Lamer, Antoine and Lebuffe, Gilles},\n\tmonth = nov,\n\tyear = {2023},\n\tpmid = {38011027},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Postoperative Pulmonary Complications (PPC) is a major issue that impacts outcomes of surgical patients. Our hypothesis was that the intraoperative ventilation parameters are associated with occurrence of PPCs. METHODS: We conducted a single-center retrospective cohort-study at the Lille University Hospital, France. We included 33701 adults undergoing non-cardiac non-thoracic elective surgery requiring general anesthesia with tracheal intubation between January 2010 and December 2019. We compared intraoperative ventilation parameters between patients with and without one or more PPC (respiratory infection, respiratory failure, pleural effusion, atelectasis, pneumothorax, bronchospasm, and aspiration pneumonitis) within 7 days of surgery. RESULTS: Among 33701 patients, 2033 (6.0%) had one or more PPCs. Lower Tidal Volume to Predicted Body Weight ratio (OR per -1 ml.kgPBW-1: 1.08 95%CI: 1.02 to 1.14, p\\textless0.001), higher mechanical power (OR per 4J.min -1: 1.37, 95%CI: 1.26 to 1.49, p\\textless0.001), dynamic respiratory system compliance \\textless 30 ml.cmH2O, (1.30 [1.15 to 1.46], p\\textless0.001), SpO2 below 96% (OR: 2.42, 95%CI: 1.97 to 2.96, p\\textless0.001) and lower EtCO2 (OR per -3 mmHg: 1.06, 95%CI: 1.00 to 1.13, p=0.023) were independently associated with PPCs. Patients with PPCs were more likely to be admitted to the Intensive Care Unit (OR: 12.5, 95%CI: 6.6-10.1, p\\textless0.001), had longer hospital Length of stay (sHR: 0.43, 95CI: 0.40-0.45), and higher in-hospital (sHR: 6.0, 95%CI: 4.1-9.0, p\\textless0.001) and 1-year mortality (sHR: 2.65, 95%CI 2.33-3.02, p\\textless0.001). CONCLUSIONS: In our population, decreased rather than increased tidal volume, decreased compliance, increased mechanical power, and decreased EtCO2 were independently associated with PPCs.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0013700623002014\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023', 'https://www.sciencedirect.com/science/article/pii/S0013700623002014', event);\">\n    Organization of French outpatient psychiatric clinics and delay to appointment.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Carette, F.; Mobi, H.; Warembourg, I.; Amariei, A.; Saint-Dizier, C.;  and Bubrovszky, M.\n</span>\n\n  \n\n</span>\n\n  <i>L'Encéphale</i>. November 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S0013700623002014\"\n     onclick=\"log_download('lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023', 'https://www.sciencedirect.com/science/article/pii/S0013700623002014', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Organization of French outpatient psychiatric clinics and delay to appointment [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.encep.2023.09.005\"\n     onclick=\"log_download('lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023', 'http://doi.org/10.1016/j.encep.2023.09.005', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-carette-mobi-warembourg-amariei-saintdizier-bubrovszky-organizationoffrenchoutpatientpsychiatricclinicsanddelaytoappointment-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_organization_2023,\n\ttitle = {Organization of {French} outpatient psychiatric clinics and delay to appointment},\n\tissn = {0013-7006},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0013700623002014},\n\tdoi = {10.1016/j.encep.2023.09.005},\n\tabstract = {Objectives\nThe goals of the study were to obtain a glimpse of the several types of organization of outpatient psychiatric clinics, as well as an overview of delays between a request for and the first appointment. We also look at geographical variability of appointment scheduling delays and assess the impact of the number of new applications on delays.\nMethods\nWe analyzed information collected from a phone survey conducted with the 103 adult outpatient psychiatric clinics of the French region Hauts-de-France. This survey had a one-week inclusion period in November 2022 and focused on the organization and delays before obtaining an appointment.\nResults\nThis study indicates that organizations seem to be homogeneous. Eighty-one outpatient psychiatric clinics (96.4\\%) receive with scheduled appointments. The initial evaluation by a nurse followed with a proposal for the organization of care seems to be the common practice. It also appears that primary psychiatric structures were capable of providing a response within a reasonable time frame in making a first appointment with a mental health professional. On the other hand, delays were much longer and heterogeneous for first appointments with psychiatrists and psychologists.\nConclusions\nThe organizations of the outpatient psychiatric clinics of the French region Hauts-de-France seem homogeneous. The evaluation by a nurse followed with a care proposal is the common practice. Primary psychiatric structures are able to provide a response within a reasonable time, with half the centers proposing an appointment with a nurse within 10.0 days.\nRésumé\nObjectifs\nLes objectifs de l’étude étaient d’obtenir un aperçu des différents types d’organisation des centres médico-psychologiques, ainsi qu’un aperçu des délais entre une demande et le premier rendez-vous. Nous examinons également la variabilité géographique des délais de prise de rendez-vous et évaluons l’impact du nombre de nouvelles demandes sur les délais.\nMéthodes\nNous avons analysé les informations recueillies à partir d’une enquête téléphonique menée auprès des 103 centres médico-psychologiques pour adultes de la région française des Hauts-de-France. Cette enquête avait une période d’inclusion d’une semaine en novembre 2022 et portait sur l’organisation et les délais avant l’obtention d’un rendez-vous.\nRésultats\nCette étude indique que les organisations des centres médico-psychologiques semblent être homogènes. Quatre-vingt-un centres médico-psychologiques (96,4 \\%) reçoivent avec des rendez-vous programmés. L’évaluation initiale par une infirmière suivie d’une proposition d’organisation des soins semble être la pratique courante. Il apparaît également que les centres médico-psychologiques sont capables de fournir une réponse dans un délai raisonnable pour la prise d’un premier rendez-vous avec un professionnel de la santé mentale. En revanche, les délais sont beaucoup plus longs et hétérogènes pour les premiers rendez-vous avec les psychiatres et les psychologues.\nConclusions\nLes organisations des centres médico-psychologiques des Hauts-de-France semblent homogènes. L’évaluation par un infirmier, suivie d’une proposition des soins semble être la pratique courante. Les structures primaires de psychiatrie sont capables de fournir une réponse dans un délai raisonnable, en proposant un rendez-vous avec un infirmier dans un délai de 10,0jours pour la moitié des centres.},\n\turldate = {2023-12-01},\n\tjournal = {L&#x27;Encéphale},\n\tauthor = {Lamer, Antoine and Carette, Fanny and Mobi, Héléna and Warembourg, Isabelle and Amariei, Alina and Saint-Dizier, Chloé and Bubrovszky, Maxime},\n\tmonth = nov,\n\tyear = {2023},\n\tkeywords = {Care organization, Health facility, Organisation des soins, Outpatient, Psychiatrie, Psychiatry, Soins ambulatoires, Établissement de santé},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Objectives The goals of the study were to obtain a glimpse of the several types of organization of outpatient psychiatric clinics, as well as an overview of delays between a request for and the first appointment. We also look at geographical variability of appointment scheduling delays and assess the impact of the number of new applications on delays. Methods We analyzed information collected from a phone survey conducted with the 103 adult outpatient psychiatric clinics of the French region Hauts-de-France. This survey had a one-week inclusion period in November 2022 and focused on the organization and delays before obtaining an appointment. Results This study indicates that organizations seem to be homogeneous. Eighty-one outpatient psychiatric clinics (96.4%) receive with scheduled appointments. The initial evaluation by a nurse followed with a proposal for the organization of care seems to be the common practice. It also appears that primary psychiatric structures were capable of providing a response within a reasonable time frame in making a first appointment with a mental health professional. On the other hand, delays were much longer and heterogeneous for first appointments with psychiatrists and psychologists. Conclusions The organizations of the outpatient psychiatric clinics of the French region Hauts-de-France seem homogeneous. The evaluation by a nurse followed with a care proposal is the common practice. Primary psychiatric structures are able to provide a response within a reasonable time, with half the centers proposing an appointment with a nurse within 10.0 days. Résumé Objectifs Les objectifs de l’étude étaient d’obtenir un aperçu des différents types d’organisation des centres médico-psychologiques, ainsi qu’un aperçu des délais entre une demande et le premier rendez-vous. Nous examinons également la variabilité géographique des délais de prise de rendez-vous et évaluons l’impact du nombre de nouvelles demandes sur les délais. Méthodes Nous avons analysé les informations recueillies à partir d’une enquête téléphonique menée auprès des 103 centres médico-psychologiques pour adultes de la région française des Hauts-de-France. Cette enquête avait une période d’inclusion d’une semaine en novembre 2022 et portait sur l’organisation et les délais avant l’obtention d’un rendez-vous. Résultats Cette étude indique que les organisations des centres médico-psychologiques semblent être homogènes. Quatre-vingt-un centres médico-psychologiques (96,4 %) reçoivent avec des rendez-vous programmés. L’évaluation initiale par une infirmière suivie d’une proposition d’organisation des soins semble être la pratique courante. Il apparaît également que les centres médico-psychologiques sont capables de fournir une réponse dans un délai raisonnable pour la prise d’un premier rendez-vous avec un professionnel de la santé mentale. En revanche, les délais sont beaucoup plus longs et hétérogènes pour les premiers rendez-vous avec les psychiatres et les psychologues. Conclusions Les organisations des centres médico-psychologiques des Hauts-de-France semblent homogènes. L’évaluation par un infirmier, suivie d’une proposition des soins semble être la pratique courante. Les structures primaires de psychiatrie sont capables de fournir une réponse dans un délai raisonnable, en proposant un rendez-vous avec un infirmier dans un délai de 10,0jours pour la moitié des centres.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"fovet-saintdizier-wathelet-horn-thomas-guillin-coldefy-dhondt-etal-openingtheblackboxofhospitalizationsinfrenchhighsecurepsychiatricforensicunits-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Opening the black box of hospitalizations in French high-secure psychiatric forensic units.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Fovet, T.; Saint-Dizier, C.; Wathelet, M.; Horn, M.; Thomas, P.; Guillin, O.; Coldefy, M.; D'Hondt, F.; Amad, A.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>L'Encephale</i>,S0013–7006(23)00079–9. May 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.encep.2023.04.008\"\n     onclick=\"log_download('fovet-saintdizier-wathelet-horn-thomas-guillin-coldefy-dhondt-etal-openingtheblackboxofhospitalizationsinfrenchhighsecurepsychiatricforensicunits-2023', 'http://doi.org/10.1016/j.encep.2023.04.008', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/fovet-saintdizier-wathelet-horn-thomas-guillin-coldefy-dhondt-etal-openingtheblackboxofhospitalizationsinfrenchhighsecurepsychiatricforensicunits-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('fovet-saintdizier-wathelet-horn-thomas-guillin-coldefy-dhondt-etal-openingtheblackboxofhospitalizationsinfrenchhighsecurepsychiatricforensicunits-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{fovet_opening_2023,\n\ttitle = {Opening the black box of hospitalizations in {French} high-secure psychiatric forensic units},\n\tissn = {0013-7006},\n\tdoi = {10.1016/j.encep.2023.04.008},\n\tabstract = {INTRODUCTION: Basic epidemiological data are rare concerning the activity of specialized forensic psychiatric facilities in France. Here, we investigated the activity of the ten (640 beds) French &quot;units for difficult patients&quot; (unités pour malades difficiles [UMDs]).\nMETHOD: We used the Programme de médicalisation des systèmes d&#x27;information (PMSI) database to describe the characteristics and evolution of psychiatric hospitalisations in UMDs between 2012 and 2021, as well as the age, sex, and principal diagnoses of the patients hospitalized in these facilities.\nRESULTS: Between 2012 and 2021, 4857 patients were hospitalized in UMDs (6082 stays). Among them, 897 (18.5\\%) had more than one stay. The number of admissions ranged from a minimum of 434 to a maximum of 632 per year. The number of discharges ranged from a minimum of 473 to a maximum of 609 per year. The mean length of stay was 13.5 (SD: 22.64) months with a median of 7.3 months (IQR: 4.0-14.4). Among the 6082 stays, 5721 (94.1\\%) involved male patients. The median age was 33 (IQR: 26-41) years. The most frequent principal psychiatric diagnoses were psychotic disorders and personality disorders.\nCONCLUSION: The number of individuals hospitalized in specialized forensic psychiatric facilities has been stable for 10 years in France and remains lower than in most European countries.},\n\tlanguage = {eng},\n\tjournal = {L&#x27;Encephale},\n\tauthor = {Fovet, Thomas and Saint-Dizier, Chloé and Wathelet, Marielle and Horn, Mathilde and Thomas, Pierre and Guillin, Olivier and Coldefy, Magali and D&#x27;Hondt, Fabien and Amad, Ali and Lamer, Antoine},\n\tmonth = may,\n\tyear = {2023},\n\tpmid = {37246100},\n\tkeywords = {Data reuse, Forensic psychiatry, France, Psychiatrie légale, Réutilisation des données, Unité pour malades difficiles},\n\tpages = {S0013--7006(23)00079--9},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  INTRODUCTION: Basic epidemiological data are rare concerning the activity of specialized forensic psychiatric facilities in France. Here, we investigated the activity of the ten (640 beds) French \"units for difficult patients\" (unités pour malades difficiles [UMDs]). METHOD: We used the Programme de médicalisation des systèmes d'information (PMSI) database to describe the characteristics and evolution of psychiatric hospitalisations in UMDs between 2012 and 2021, as well as the age, sex, and principal diagnoses of the patients hospitalized in these facilities. RESULTS: Between 2012 and 2021, 4857 patients were hospitalized in UMDs (6082 stays). Among them, 897 (18.5%) had more than one stay. The number of admissions ranged from a minimum of 434 to a maximum of 632 per year. The number of discharges ranged from a minimum of 473 to a maximum of 609 per year. The mean length of stay was 13.5 (SD: 22.64) months with a median of 7.3 months (IQR: 4.0-14.4). Among the 6082 stays, 5721 (94.1%) involved male patients. The median age was 33 (IQR: 26-41) years. The most frequent principal psychiatric diagnoses were psychotic disorders and personality disorders. CONCLUSION: The number of individuals hospitalized in specialized forensic psychiatric facilities has been stable for 10 years in France and remains lower than in most European countries.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandriskofmajoradversecardiacandcerebrovasculareventsukbiobankdatabase-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Association between sarcopenia and risk of major adverse cardiac and cerebrovascular events-UK Biobank database.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jauffret, C.; Périchon, R.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Cortet, B.; Chazard, E.;  and Paccou, J.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of the American Geriatrics Society</i>. November 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1111/jgs.18664\"\n     onclick=\"log_download('jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandriskofmajoradversecardiacandcerebrovasculareventsukbiobankdatabase-2023', 'http://doi.org/10.1111/jgs.18664', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandriskofmajoradversecardiacandcerebrovasculareventsukbiobankdatabase-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandriskofmajoradversecardiacandcerebrovasculareventsukbiobankdatabase-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{jauffret_association_2023,\n\ttitle = {Association between sarcopenia and risk of major adverse cardiac and cerebrovascular events-{UK} {Biobank} database},\n\tissn = {1532-5415},\n\tdoi = {10.1111/jgs.18664},\n\tabstract = {BACKGROUND: Few studies on the risk of incident major adverse cardiac and cerebrovascular events (MACCEs) in sarcopenia have been reported. The objective was to assess the association between presarcopenia and sarcopenia and a higher risk of MACCEs.\nMETHODS: This study on the UK Biobank prospective cohort, used data collected between 2006 and 2021. Community-dwelling Caucasian participants aged 37 to 73 years were included if values for Handgrip Strength (HGS) and Skeletal Muscle Index (SMI) were available and if no history of MACCEs was reported. Exposure was assessed using the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was measured using HGS, and muscle mass using the SMI. Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, whereas sarcopenia was defined as low HGS with low SMI. The main outcome was to determine whether presarcopenia and/or sarcopenia were predictors of MACCEs (composite events).\nRESULTS: A total of 406,411 included participants (women: 55.7\\%) were included. At baseline, there were 18,257 (4.7\\%) presarcopenics-subgroup n°1 (low HGS only), 7940 (2.1\\%) presarcopenics-subgroup n°2 (low SMI only), and 1124 (0.3\\%) sarcopenics. Over a median follow-up of 12.1 years (IQR: [11.4; 12.8]), 28,300 participants (7.0\\%) were diagnosed with at least one event. Compared to NonSarc, presarcopenic (subgroups n°1 and n°2) and sarcopenic status were significantly associated with a higher risk of MACCEs (respectively fully adjusted HRs: HR = 1.25 [95\\% CI: 1.19; 1.31], HR = 1.33 [95\\% CI: 1.23; 1.45] and HR = 1.62 [95\\% CI: 1.34; 1.95]).\nCONCLUSIONS: In a community-dwelling population, the risk of MACCEs was higher in both presarcopenic and sarcopenic participants.},\n\tlanguage = {eng},\n\tjournal = {Journal of the American Geriatrics Society},\n\tauthor = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},\n\tmonth = nov,\n\tyear = {2023},\n\tpmid = {37945290},\n\tkeywords = {UK Biobank, major cardiac and cerebrovascular event, presarcopenia, sarcopenia},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Few studies on the risk of incident major adverse cardiac and cerebrovascular events (MACCEs) in sarcopenia have been reported. The objective was to assess the association between presarcopenia and sarcopenia and a higher risk of MACCEs. METHODS: This study on the UK Biobank prospective cohort, used data collected between 2006 and 2021. Community-dwelling Caucasian participants aged 37 to 73 years were included if values for Handgrip Strength (HGS) and Skeletal Muscle Index (SMI) were available and if no history of MACCEs was reported. Exposure was assessed using the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was measured using HGS, and muscle mass using the SMI. Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, whereas sarcopenia was defined as low HGS with low SMI. The main outcome was to determine whether presarcopenia and/or sarcopenia were predictors of MACCEs (composite events). RESULTS: A total of 406,411 included participants (women: 55.7%) were included. At baseline, there were 18,257 (4.7%) presarcopenics-subgroup n°1 (low HGS only), 7940 (2.1%) presarcopenics-subgroup n°2 (low SMI only), and 1124 (0.3%) sarcopenics. Over a median follow-up of 12.1 years (IQR: [11.4; 12.8]), 28,300 participants (7.0%) were diagnosed with at least one event. Compared to NonSarc, presarcopenic (subgroups n°1 and n°2) and sarcopenic status were significantly associated with a higher risk of MACCEs (respectively fully adjusted HRs: HR = 1.25 [95% CI: 1.19; 1.31], HR = 1.33 [95% CI: 1.23; 1.45] and HR = 1.62 [95% CI: 1.34; 1.95]). CONCLUSIONS: In a community-dwelling population, the risk of MACCEs was higher in both presarcopenic and sarcopenic participants.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"fruchart-verdier-beuscart-lamer-publicationdynamicsonsocialmediaduringtheorpeanursinghomesscandalatwitteranalysis-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Publication Dynamics on Social Media During the Orpea Nursing Homes Scandal: A Twitter Analysis.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Fruchart, M.; Verdier, L.; Beuscart, J.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 302: 502–503. May 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI230191\"\n     onclick=\"log_download('fruchart-verdier-beuscart-lamer-publicationdynamicsonsocialmediaduringtheorpeanursinghomesscandalatwitteranalysis-2023', 'http://doi.org/10.3233/SHTI230191', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/fruchart-verdier-beuscart-lamer-publicationdynamicsonsocialmediaduringtheorpeanursinghomesscandalatwitteranalysis-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('fruchart-verdier-beuscart-lamer-publicationdynamicsonsocialmediaduringtheorpeanursinghomesscandalatwitteranalysis-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{fruchart_publication_2023,\n\ttitle = {Publication {Dynamics} on {Social} {Media} {During} the {Orpea} {Nursing} {Homes} {Scandal}: {A} {Twitter} {Analysis}},\n\tvolume = {302},\n\tissn = {1879-8365},\n\tshorttitle = {Publication {Dynamics} on {Social} {Media} {During} the {Orpea} {Nursing} {Homes} {Scandal}},\n\tdoi = {10.3233/SHTI230191},\n\tabstract = {The release of a book denouncing mistreatment in French nursing home triggered a scandal which was conveyed on social networks. The objectives of this study were to study the temporal trends and dynamics of publication on Twitter during the scandal as well as to identify the main topics of discussion.The first one is spontaneous and completely aligned with the actuality and fed by media and family of residents, while the second one is out of step with current events and fed by the company involved in the scandal.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Fruchart, Mathilde and Verdier, Laetitia and Beuscart, Jean-Baptiste and Lamer, Antoine},\n\tmonth = may,\n\tyear = {2023},\n\tpmid = {37203735},\n\tkeywords = {Humans, Nursing Homes, Social Media, Social Networking, Twitter, data reuse, nursing home, orpea, social media, topic modeling},\n\tpages = {502--503},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The release of a book denouncing mistreatment in French nursing home triggered a scandal which was conveyed on social networks. The objectives of this study were to study the temporal trends and dynamics of publication on Twitter during the scandal as well as to identify the main topics of discussion.The first one is spontaneous and completely aligned with the actuality and fed by media and family of residents, while the second one is out of step with current events and fed by the company involved in the scandal.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"saintdizier-lamer-zaanouar-amariei-quindroit-opendatapsyanopendatarepositorywithstandardizedstorageanddescriptionforresearchinpsychiatry-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  OpenDataPsy: An Open-Data Repository with Standardized Storage and Description for Research in Psychiatry.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Saint-Dizier, C.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Zaanouar, M.; Amariei, A.;  and Quindroit, P.\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 302: 851–855. May 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI230288\"\n     onclick=\"log_download('saintdizier-lamer-zaanouar-amariei-quindroit-opendatapsyanopendatarepositorywithstandardizedstorageanddescriptionforresearchinpsychiatry-2023', 'http://doi.org/10.3233/SHTI230288', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/saintdizier-lamer-zaanouar-amariei-quindroit-opendatapsyanopendatarepositorywithstandardizedstorageanddescriptionforresearchinpsychiatry-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('saintdizier-lamer-zaanouar-amariei-quindroit-opendatapsyanopendatarepositorywithstandardizedstorageanddescriptionforresearchinpsychiatry-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{saint-dizier_opendatapsy_2023,\n\ttitle = {{OpenDataPsy}: {An} {Open}-{Data} {Repository} with {Standardized} {Storage} and {Description} for {Research} in {Psychiatry}},\n\tvolume = {302},\n\tissn = {1879-8365},\n\tshorttitle = {{OpenDataPsy}},\n\tdoi = {10.3233/SHTI230288},\n\tabstract = {Sharing health data could avoid duplication of effort in data collection, reduce unnecessary costs in future studies, and encourage collaboration and data flow within the scientific community. Several repositories from national institutions or research teams have making their datasets available. These data are mainly aggregated at spatial or temporal level, or dedicated to a specific field. The objective of this work is to propose a standardized storage and description of open datasets for research purposes. For this, we selected 8 publicly accessible datasets, covering the fields of demographics, employment, education and psychiatry. Then, we studied the format, nomenclature (i.e., files and variables names, modalities of recurrent qualitative variables) and descriptions of these datasets and we proposed on common and standardized format and description. We made available these datasets in an open gitlab repository. For each dataset, we proposed the raw data file in its original format, the cleaned data file in csv format, the variables description, the data management script and the descriptive statistics. Statistics are generated according to the type of variables previously documented. After one year of use, we will evaluate with the users if the standardization of the data sets is relevant and how they use the dataset in real life.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Saint-Dizier, Chloé and Lamer, Antoine and Zaanouar, Majda and Amariei, Alina and Quindroit, Paul},\n\tmonth = may,\n\tyear = {2023},\n\tpmid = {37203516},\n\tkeywords = {Data Collection, Data Management, Information Storage and Retrieval, Open data, Psychiatry, Records, data reuse, psychiatry, research},\n\tpages = {851--855},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Sharing health data could avoid duplication of effort in data collection, reduce unnecessary costs in future studies, and encourage collaboration and data flow within the scientific community. Several repositories from national institutions or research teams have making their datasets available. These data are mainly aggregated at spatial or temporal level, or dedicated to a specific field. The objective of this work is to propose a standardized storage and description of open datasets for research purposes. For this, we selected 8 publicly accessible datasets, covering the fields of demographics, employment, education and psychiatry. Then, we studied the format, nomenclature (i.e., files and variables names, modalities of recurrent qualitative variables) and descriptions of these datasets and we proposed on common and standardized format and description. We made available these datasets in an open gitlab repository. For each dataset, we proposed the raw data file in its original format, the cleaned data file in csv format, the variables description, the data management script and the descriptive statistics. Statistics are generated according to the type of variables previously documented. After one year of use, we will evaluate with the users if the standardization of the data sets is relevant and how they use the dataset in real life.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"levaillant-garabdian-legendre-soula-hamel-vallet-lamer-infrancetheorganizationofperinatalcarehasadirectinfluenceontheoutcomeofthemotherandthenewborncontributionfromafrenchnationwidestudy-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  In France, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn: Contribution from a French nationwide study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Levaillant, M.; Garabédian, C.; Legendre, G.; Soula, J.; Hamel, J.; Vallet, B.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Gynaecology and Obstetrics: The Official Organ of the International Federation of Gynaecology and Obstetrics</i>. July 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1002/ijgo.15004\"\n     onclick=\"log_download('levaillant-garabdian-legendre-soula-hamel-vallet-lamer-infrancetheorganizationofperinatalcarehasadirectinfluenceontheoutcomeofthemotherandthenewborncontributionfromafrenchnationwidestudy-2023', 'http://doi.org/10.1002/ijgo.15004', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/levaillant-garabdian-legendre-soula-hamel-vallet-lamer-infrancetheorganizationofperinatalcarehasadirectinfluenceontheoutcomeofthemotherandthenewborncontributionfromafrenchnationwidestudy-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('levaillant-garabdian-legendre-soula-hamel-vallet-lamer-infrancetheorganizationofperinatalcarehasadirectinfluenceontheoutcomeofthemotherandthenewborncontributionfromafrenchnationwidestudy-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{levaillant_france_2023,\n\ttitle = {In {France}, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn: {Contribution} from a {French} nationwide study},\n\tissn = {1879-3479},\n\tshorttitle = {In {France}, the organization of perinatal care has a direct influence on the outcome of the mother and the newborn},\n\tdoi = {10.1002/ijgo.15004},\n\tabstract = {OBJECTIVE: To investigate maternal and neonatal outcomes after a delivery in France in 2019, according to hospital characteristics and the impact of distance and time of travel on mother and newborn.\nMETHODS: All parturients above 18 years of age who delivered in 2019 and were identified in the French health insurance database were included, with their newborns, in this retrospective cohort study. Main outcome measures were Severe Maternal Morbidity score and the Neonatal Adverse Outcome Indicator (NAOI).\nRESULTS: Among the 733 052 pregnancies included, 10 829 presented a severe maternal morbidity (1.48\\%) and 77 237 had a neonatal adverse outcome (10.4\\%). Factors associated with an unfavorable maternal or neonatal outcome were Obstetric Comorbidity Index, primiparity, and cesarean or instrumental delivery. Prematurity was associated with less severe maternal morbidity but more neonatal adverse outcomes. Time of travel above 30 min was associated with a higher NAOI rate.\nCONCLUSIONS: Results suggest the efficiency of regionalization of perinatal care in France, although a difference in both outcomes persists according to unit volume, suggesting the need for a further step in concentrating perinatal care. Perinatal care organization should focus on mapping the territory with high-level, high-volume maternity throughout the territory; this suggests closing down high-volume units and improving low-volume ones to maintain coherent mapping.},\n\tlanguage = {eng},\n\tjournal = {International Journal of Gynaecology and Obstetrics: The Official Organ of the International Federation of Gynaecology and Obstetrics},\n\tauthor = {Levaillant, Mathieu and Garabédian, Charles and Legendre, Guillaume and Soula, Julien and Hamel, Jean-François and Vallet, Benoît and Lamer, Antoine},\n\tmonth = jul,\n\tyear = {2023},\n\tpmid = {37485702},\n\tkeywords = {data reuse, delivery, maternity level, perinatal facility mapping, regionalization},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  OBJECTIVE: To investigate maternal and neonatal outcomes after a delivery in France in 2019, according to hospital characteristics and the impact of distance and time of travel on mother and newborn. METHODS: All parturients above 18 years of age who delivered in 2019 and were identified in the French health insurance database were included, with their newborns, in this retrospective cohort study. Main outcome measures were Severe Maternal Morbidity score and the Neonatal Adverse Outcome Indicator (NAOI). RESULTS: Among the 733 052 pregnancies included, 10 829 presented a severe maternal morbidity (1.48%) and 77 237 had a neonatal adverse outcome (10.4%). Factors associated with an unfavorable maternal or neonatal outcome were Obstetric Comorbidity Index, primiparity, and cesarean or instrumental delivery. Prematurity was associated with less severe maternal morbidity but more neonatal adverse outcomes. Time of travel above 30 min was associated with a higher NAOI rate. CONCLUSIONS: Results suggest the efficiency of regionalization of perinatal care in France, although a difference in both outcomes persists according to unit volume, suggesting the need for a further step in concentrating perinatal care. Perinatal care organization should focus on mapping the territory with high-level, high-volume maternity throughout the territory; this suggests closing down high-volume units and improving low-volume ones to maintain coherent mapping.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"levaillant-rony-hamelbroza-soula-vallet-lamer-infrancedistancefromhospitalandhealthcarestructureimpactonoutcomeafterarthroplastyofthehipforproximalfracturesofthefemur-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  In France, distance from hospital and health care structure impact on outcome after arthroplasty of the hip for proximal fractures of the femur.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Levaillant, M.; Rony, L.; Hamel-Broza, J.; Soula, J.; Vallet, B.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Orthopaedic Surgery and Research</i>, 18(1): 418. June 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1186/s13018-023-03893-4\"\n     onclick=\"log_download('levaillant-rony-hamelbroza-soula-vallet-lamer-infrancedistancefromhospitalandhealthcarestructureimpactonoutcomeafterarthroplastyofthehipforproximalfracturesofthefemur-2023', 'http://doi.org/10.1186/s13018-023-03893-4', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/levaillant-rony-hamelbroza-soula-vallet-lamer-infrancedistancefromhospitalandhealthcarestructureimpactonoutcomeafterarthroplastyofthehipforproximalfracturesofthefemur-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('levaillant-rony-hamelbroza-soula-vallet-lamer-infrancedistancefromhospitalandhealthcarestructureimpactonoutcomeafterarthroplastyofthehipforproximalfracturesofthefemur-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{levaillant_france_2023-1,\n\ttitle = {In {France}, distance from hospital and health care structure impact on outcome after arthroplasty of the hip for proximal fractures of the femur},\n\tvolume = {18},\n\tissn = {1749-799X},\n\tdoi = {10.1186/s13018-023-03893-4},\n\tabstract = {BACKGROUND: Hip arthroplasty is a frequently performed procedure in orthopedic surgery, carried out in almost all health structures for two main issues: fracture and coxarthrosis. Even if volume-outcome relationship appeared associated in many surgeries recently, data provided are not sufficient to set surgical thresholds neither than closing down low-volumes centers.\nQUESTION: With this study, we wanted to identify surgical, health care-related and territorial factors influencing patient&#x27; mortality and readmission after a HA for a femoral fracture in 2018 in France.\nPATIENTS AND METHODS: Data were anonymously collected from French nationwide administrative databases. All patients who underwent a hip arthroplasty for a femoral fracture through 2018 were included. Patient outcome was 90-day mortality and 90-day readmission rate after surgery.\nRESULTS: Of the 36,252 patients that underwent a HA for fracture in France in 2018, 0.7\\% died within 90-day year and 1.2\\% were readmitted. Male and Charlson comorbidity index were associated with a higher 90-day mortality and readmission rate in multivariate analysis. High volume was associated with a lower mortality rate. Neither time of travel nor distance upon health facility were associated with mortality nor with readmission rate in the analysis.\nCONCLUSION: Even if volume appears to be associated with lower mortality rate even for longer distance and time of travel, the persistence of exogenous factors not documented in the French databases suggests that regionalization of hip arthroplasty should be organized with caution.\nCLINICAL RELEVANCE: As volume-outcome relationship must be interpreted with caution, policy makers should not regionalize such surgery without further investigation.},\n\tlanguage = {eng},\n\tnumber = {1},\n\tjournal = {Journal of Orthopaedic Surgery and Research},\n\tauthor = {Levaillant, Mathieu and Rony, Louis and Hamel-Broza, Jean-François and Soula, Julien and Vallet, Benoît and Lamer, Antoine},\n\tmonth = jun,\n\tyear = {2023},\n\tpmid = {37296484},\n\tpmcid = {PMC10257255},\n\tkeywords = {Arthroplasty, Replacement, Hip, Data reuse, Delivery of Health Care, Femoral Fractures, Femur, Hip Fractures, Hip arthroplasty, Hospital, Hospitals, Humans, Male, Quality indicator, Retrospective Studies, Risk Factors, Surgery, Volume–outcome relationship},\n\tpages = {418},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Hip arthroplasty is a frequently performed procedure in orthopedic surgery, carried out in almost all health structures for two main issues: fracture and coxarthrosis. Even if volume-outcome relationship appeared associated in many surgeries recently, data provided are not sufficient to set surgical thresholds neither than closing down low-volumes centers. QUESTION: With this study, we wanted to identify surgical, health care-related and territorial factors influencing patient' mortality and readmission after a HA for a femoral fracture in 2018 in France. PATIENTS AND METHODS: Data were anonymously collected from French nationwide administrative databases. All patients who underwent a hip arthroplasty for a femoral fracture through 2018 were included. Patient outcome was 90-day mortality and 90-day readmission rate after surgery. RESULTS: Of the 36,252 patients that underwent a HA for fracture in France in 2018, 0.7% died within 90-day year and 1.2% were readmitted. Male and Charlson comorbidity index were associated with a higher 90-day mortality and readmission rate in multivariate analysis. High volume was associated with a lower mortality rate. Neither time of travel nor distance upon health facility were associated with mortality nor with readmission rate in the analysis. CONCLUSION: Even if volume appears to be associated with lower mortality rate even for longer distance and time of travel, the persistence of exogenous factors not documented in the French databases suggests that regionalization of hip arthroplasty should be organized with caution. CLINICAL RELEVANCE: As volume-outcome relationship must be interpreted with caution, policy makers should not regionalize such surgery without further investigation.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lamer-moussa-marcilly-logier-vallet-tavernier-developmentandusageofananesthesiadatawarehouselessonslearntfroma10yearproject-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Moussa, M. D.; Marcilly, R.; Logier, R.; Vallet, B.;  and Tavernier, B.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Clinical Monitoring and Computing</i>, 37(2): 461–472. April 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s10877-022-00898-y\"\n     onclick=\"log_download('lamer-moussa-marcilly-logier-vallet-tavernier-developmentandusageofananesthesiadatawarehouselessonslearntfroma10yearproject-2023', 'http://doi.org/10.1007/s10877-022-00898-y', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-moussa-marcilly-logier-vallet-tavernier-developmentandusageofananesthesiadatawarehouselessonslearntfroma10yearproject-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-moussa-marcilly-logier-vallet-tavernier-developmentandusageofananesthesiadatawarehouselessonslearntfroma10yearproject-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_development_2023,\n\ttitle = {Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project},\n\tvolume = {37},\n\tissn = {1573-2614},\n\tshorttitle = {Development and usage of an anesthesia data warehouse},\n\tdoi = {10.1007/s10877-022-00898-y},\n\tabstract = {This paper describes the development and implementation of an anesthesia data warehouse in the Lille University Hospital. We share the lessons learned from a ten-year project and provide guidance for the implementation of such a project. Our clinical data warehouse is mainly fed with data collected by the anesthesia information management system and hospital discharge reports. The data warehouse stores historical and accurate data with an accuracy level of the day for administrative data, and of the second for monitoring data. Datamarts complete the architecture and provide secondary computed data and indicators, in order to execute queries faster and easily. Between 2010 and 2021, 636 784 anesthesia records were integrated for 353 152 patients. We reported the main concerns and barriers during the development of this project and we provided 8 tips to handle them. We have implemented our data warehouse into the OMOP common data model as a complementary downstream data model. The next step of the project will be to disseminate the use of the OMOP data model for anesthesia and critical care, and drive the trend towards federated learning to enhance collaborations and multicenter studies.},\n\tlanguage = {eng},\n\tnumber = {2},\n\tjournal = {Journal of Clinical Monitoring and Computing},\n\tauthor = {Lamer, Antoine and Moussa, Mouhamed Djahoum and Marcilly, Romaric and Logier, Régis and Vallet, Benoit and Tavernier, Benoît},\n\tmonth = apr,\n\tyear = {2023},\n\tpmid = {35933465},\n\tpmcid = {PMC10068662},\n\tkeywords = {Anesthesia, Anesthesia information management system, Data Warehousing, Data reuse, Data warehouse, Database, Humans, Retrospective studies},\n\tpages = {461--472},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This paper describes the development and implementation of an anesthesia data warehouse in the Lille University Hospital. We share the lessons learned from a ten-year project and provide guidance for the implementation of such a project. Our clinical data warehouse is mainly fed with data collected by the anesthesia information management system and hospital discharge reports. The data warehouse stores historical and accurate data with an accuracy level of the day for administrative data, and of the second for monitoring data. Datamarts complete the architecture and provide secondary computed data and indicators, in order to execute queries faster and easily. Between 2010 and 2021, 636 784 anesthesia records were integrated for 353 152 patients. We reported the main concerns and barriers during the development of this project and we provided 8 tips to handle them. We have implemented our data warehouse into the OMOP common data model as a complementary downstream data model. The next step of the project will be to disseminate the use of the OMOP data model for anesthesia and critical care, and drive the trend towards federated learning to enhance collaborations and multicenter studies.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"doutreligne-degremont-jachiet-lamer-tannier-goodpracticesforclinicaldatawarehouseimplementationacasestudyinfrance-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Good practices for clinical data warehouse implementation: A case study in France.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Doutreligne, M.; Degremont, A.; Jachiet, P.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>;  and Tannier, X.\n</span>\n\n  \n\n</span>\n\n  <i>PLOS digital health</i>, 2(7): e0000298. July 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1371/journal.pdig.0000298\"\n     onclick=\"log_download('doutreligne-degremont-jachiet-lamer-tannier-goodpracticesforclinicaldatawarehouseimplementationacasestudyinfrance-2023', 'http://doi.org/10.1371/journal.pdig.0000298', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/doutreligne-degremont-jachiet-lamer-tannier-goodpracticesforclinicaldatawarehouseimplementationacasestudyinfrance-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('doutreligne-degremont-jachiet-lamer-tannier-goodpracticesforclinicaldatawarehouseimplementationacasestudyinfrance-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{doutreligne_good_2023,\n\ttitle = {Good practices for clinical data warehouse implementation: {A} case study in {France}},\n\tvolume = {2},\n\tissn = {2767-3170},\n\tshorttitle = {Good practices for clinical data warehouse implementation},\n\tdoi = {10.1371/journal.pdig.0000298},\n\tabstract = {Real-world data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight key aspects of modern clinical data warehouses (CDWs): governance, transparency, types of data, data reuse, technical tools, documentation, and data quality control processes. Semi-structured interviews as well as a review of reported studies on French CDWs were conducted in a semi-structured manner from March to November 2022. Out of 32 regional and university hospitals in France, 14 have a CDW in production, 5 are experimenting, 5 have a prospective CDW project, 8 did not have any CDW project at the time of writing. The implementation of CDW in France dates from 2011 and accelerated in the late 2020. From this case study, we draw some general guidelines for CDWs. The actual orientation of CDWs towards research requires efforts in governance stabilization, standardization of data schema, and development in data quality and data documentation. Particular attention must be paid to the sustainability of the warehouse teams and to the multilevel governance. The transparency of the studies and the tools of transformation of the data must improve to allow successful multicentric data reuses as well as innovations in routine care.},\n\tlanguage = {eng},\n\tnumber = {7},\n\tjournal = {PLOS digital health},\n\tauthor = {Doutreligne, Matthieu and Degremont, Adeline and Jachiet, Pierre-Alain and Lamer, Antoine and Tannier, Xavier},\n\tmonth = jul,\n\tyear = {2023},\n\tpmid = {37410797},\n\tpmcid = {PMC10325086},\n\tpages = {e0000298},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Real-world data (RWD) bears great promises to improve the quality of care. However, specific infrastructures and methodologies are required to derive robust knowledge and brings innovations to the patient. Drawing upon the national case study of the 32 French regional and university hospitals governance, we highlight key aspects of modern clinical data warehouses (CDWs): governance, transparency, types of data, data reuse, technical tools, documentation, and data quality control processes. Semi-structured interviews as well as a review of reported studies on French CDWs were conducted in a semi-structured manner from March to November 2022. Out of 32 regional and university hospitals in France, 14 have a CDW in production, 5 are experimenting, 5 have a prospective CDW project, 8 did not have any CDW project at the time of writing. The implementation of CDW in France dates from 2011 and accelerated in the late 2020. From this case study, we draw some general guidelines for CDWs. The actual orientation of CDWs towards research requires efforts in governance stabilization, standardization of data schema, and development in data quality and data documentation. Particular attention must be paid to the sustainability of the warehouse teams and to the multilevel governance. The transparency of the studies and the tools of transformation of the data must improve to allow successful multicentric data reuses as well as innovations in routine care.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"fruchart-lamer-lemaitre-beuscart-calafiore-quindroit-descriptionofafrenchpopulationofdiabeticstreatedfollowedupbygeneralpractitioners-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Description of a French Population of Diabetics Treated Followed up by General Practitioners.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Fruchart, M.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Lemaitre, M.; Beuscart, J.; Calafiore, M.;  and Quindroit, P.\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 302: 856–860. May 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI230289\"\n     onclick=\"log_download('fruchart-lamer-lemaitre-beuscart-calafiore-quindroit-descriptionofafrenchpopulationofdiabeticstreatedfollowedupbygeneralpractitioners-2023', 'http://doi.org/10.3233/SHTI230289', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/fruchart-lamer-lemaitre-beuscart-calafiore-quindroit-descriptionofafrenchpopulationofdiabeticstreatedfollowedupbygeneralpractitioners-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('fruchart-lamer-lemaitre-beuscart-calafiore-quindroit-descriptionofafrenchpopulationofdiabeticstreatedfollowedupbygeneralpractitioners-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{fruchart_description_2023,\n\ttitle = {Description of a {French} {Population} of {Diabetics} {Treated} {Followed} up by {General} {Practitioners}},\n\tvolume = {302},\n\tissn = {1879-8365},\n\tdoi = {10.3233/SHTI230289},\n\tabstract = {In France, the prevalence of treated diabetes has been estimated at 4.6\\%, or more than 3 million people and 5.2\\% in Northern France. The reuse of primary care data allows to study outpatient clinical data such as laboratory results and drug prescriptions, which are not documented in claims and hospital databases. In this study, we selected the population of treated diabetics from the Wattrelos primary care data warehouse, in North of France. Firstly, we studied the laboratory results of diabetics by identifying whether the recommendations of the French National Authority for Health (HAS) were respected. In a second step, we studied the prescriptions of diabetics by identifying the oral hypoglycemic agents treatments and insulins treatments. The diabetic population represents 690 patients of the health care center. The recommendations on labortatory are respected for 84\\% of diabetics. The majority of diabetics are treated with oral hypoglycemic agents 68.6\\%. As recommended by the HAS, metformin is the first-line treatment in the diabetic population.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Fruchart, Mathilde and Lamer, Antoine and Lemaitre, Madleen and Beuscart, Jean-Baptiste and Calafiore, Matthieu and Quindroit, Paul},\n\tmonth = may,\n\tyear = {2023},\n\tpmid = {37203517},\n\tkeywords = {Diabetes Mellitus, Type 2, Diabetes mellitus, Drug Prescriptions, France, General Practitioners, Humans, Hypoglycemic Agents, Metformin, data reuse, general practitioner, primary care},\n\tpages = {856--860},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In France, the prevalence of treated diabetes has been estimated at 4.6%, or more than 3 million people and 5.2% in Northern France. The reuse of primary care data allows to study outpatient clinical data such as laboratory results and drug prescriptions, which are not documented in claims and hospital databases. In this study, we selected the population of treated diabetics from the Wattrelos primary care data warehouse, in North of France. Firstly, we studied the laboratory results of diabetics by identifying whether the recommendations of the French National Authority for Health (HAS) were respected. In a second step, we studied the prescriptions of diabetics by identifying the oral hypoglycemic agents treatments and insulins treatments. The diabetic population represents 690 patients of the health care center. The recommendations on labortatory are respected for 84% of diabetics. The majority of diabetics are treated with oral hypoglycemic agents 68.6%. As recommended by the HAS, metformin is the first-line treatment in the diabetic population.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"fruchart-elidrissi-lamer-belarbi-lemdani-zitouni-guinhouya-identificationofearlysymptomsofendometriosisthroughtheanalysisofonlinesocialnetworksasocialmediastudy-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Identification of early symptoms of endometriosis through the analysis of online social networks: A social media study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Fruchart, M.; El Idrissi, F.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Belarbi, K.; Lemdani, M.; Zitouni, D.;  and Guinhouya, B. C.\n</span>\n\n  \n\n</span>\n\n  <i>Digital Health</i>, 9: 20552076231176114.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1177/20552076231176114\"\n     onclick=\"log_download('fruchart-elidrissi-lamer-belarbi-lemdani-zitouni-guinhouya-identificationofearlysymptomsofendometriosisthroughtheanalysisofonlinesocialnetworksasocialmediastudy-2023', 'http://doi.org/10.1177/20552076231176114', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/fruchart-elidrissi-lamer-belarbi-lemdani-zitouni-guinhouya-identificationofearlysymptomsofendometriosisthroughtheanalysisofonlinesocialnetworksasocialmediastudy-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('fruchart-elidrissi-lamer-belarbi-lemdani-zitouni-guinhouya-identificationofearlysymptomsofendometriosisthroughtheanalysisofonlinesocialnetworksasocialmediastudy-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{fruchart_identification_2023,\n\ttitle = {Identification of early symptoms of endometriosis through the analysis of online social networks: {A} social media study},\n\tvolume = {9},\n\tissn = {2055-2076},\n\tshorttitle = {Identification of early symptoms of endometriosis through the analysis of online social networks},\n\tdoi = {10.1177/20552076231176114},\n\tabstract = {OBJECTIVE: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient&#x27;s experience. This study aimed at applying a text-mining approach to online social networks in order to identify early signs associated with endometriosis.\nMETHODS: An automated exploration technique of online forums was performed to extract posts. After a cleaning step of the built corpus, we retrieved all symptoms evoked by women, and connected them to the MedDRA dictionary. Then, temporal markers allowed targeting only the earliest symptoms. The latter were those evoked near a marker of precocity. A co-occurrence approach was further applied to better account for the context of evocations.\nRESULTS: Results were visualised using the graph-oriented database Neo4j. We collected 7148 discussions threads and 78,905 posts from 10 French forums. We extracted 41 groups of contextualised symptoms, including 20 groups of early symptoms associated with endometriosis. Among these groups of early symptoms, 13 were found to portray already known signs of endometriosis. The remaining 7 clusters of early symptoms were limb oedema, muscle pain, neuralgia, haematuria, vaginal itching, altered general condition (i.e. dizziness, fatigue, nausea) and hot flush.\nCONCLUSION: We pointed out some additional symptoms of endometriosis qualified as early symptoms, which can serve as a screening tool for prevention and/or treatment purpose. The present findings offer an opportunity for further exploration of early biological processes triggering this disease.},\n\tlanguage = {eng},\n\tjournal = {Digital Health},\n\tauthor = {Fruchart, Mathilde and El Idrissi, Fatima and Lamer, Antoine and Belarbi, Karim and Lemdani, Mohamed and Zitouni, Djamel and Guinhouya, Benjamin C.},\n\tyear = {2023},\n\tpmid = {37228486},\n\tpmcid = {PMC10204053},\n\tkeywords = {Data reuse, early symptoms, health communication, natural language processing, patient expertise, social media},\n\tpages = {20552076231176114},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  OBJECTIVE: Endometriosis is a complex full-body inflammation disease with an average time to diagnosis of 7-10 years. Social networks give opportunity to patient to openly discuss about their condition, share experiences, and seek advice. Thus, data from social media may provide insightful data about patient's experience. This study aimed at applying a text-mining approach to online social networks in order to identify early signs associated with endometriosis. METHODS: An automated exploration technique of online forums was performed to extract posts. After a cleaning step of the built corpus, we retrieved all symptoms evoked by women, and connected them to the MedDRA dictionary. Then, temporal markers allowed targeting only the earliest symptoms. The latter were those evoked near a marker of precocity. A co-occurrence approach was further applied to better account for the context of evocations. RESULTS: Results were visualised using the graph-oriented database Neo4j. We collected 7148 discussions threads and 78,905 posts from 10 French forums. We extracted 41 groups of contextualised symptoms, including 20 groups of early symptoms associated with endometriosis. Among these groups of early symptoms, 13 were found to portray already known signs of endometriosis. The remaining 7 clusters of early symptoms were limb oedema, muscle pain, neuralgia, haematuria, vaginal itching, altered general condition (i.e. dizziness, fatigue, nausea) and hot flush. CONCLUSION: We pointed out some additional symptoms of endometriosis qualified as early symptoms, which can serve as a screening tool for prevention and/or treatment purpose. The present findings offer an opportunity for further exploration of early biological processes triggering this disease.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (11)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"lamer-fruchart-paris-popoff-payen-balcaen-gacquer-bouzill-etal-standardizeddescriptionofthefeatureextractionprocesstotransformrawdataintomeaningfulinformationforenhancingdatareuseconsensusstudy-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Fruchart, M.; Paris, N.; Popoff, B.; Payen, A.; Balcaen, T.; Gacquer, W.; Bouzillé, G.; Cuggia, M.; Doutreligne, M.;  and Chazard, E.\n</span>\n\n  \n\n</span>\n\n  <i>JMIR medical informatics</i>, 10(10): e38936. October 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.2196/38936\"\n     onclick=\"log_download('lamer-fruchart-paris-popoff-payen-balcaen-gacquer-bouzill-etal-standardizeddescriptionofthefeatureextractionprocesstotransformrawdataintomeaningfulinformationforenhancingdatareuseconsensusstudy-2022', 'http://doi.org/10.2196/38936', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-fruchart-paris-popoff-payen-balcaen-gacquer-bouzill-etal-standardizeddescriptionofthefeatureextractionprocesstotransformrawdataintomeaningfulinformationforenhancingdatareuseconsensusstudy-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-fruchart-paris-popoff-payen-balcaen-gacquer-bouzill-etal-standardizeddescriptionofthefeatureextractionprocesstotransformrawdataintomeaningfulinformationforenhancingdatareuseconsensusstudy-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_standardized_2022,\n\ttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}: {Consensus} {Study}},\n\tvolume = {10},\n\tissn = {2291-9694},\n\tshorttitle = {Standardized {Description} of the {Feature} {Extraction} {Process} to {Transform} {Raw} {Data} {Into} {Meaningful} {Information} for {Enhancing} {Data} {Reuse}},\n\tdoi = {10.2196/38936},\n\tabstract = {BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm.\nOBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse.\nMETHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM).\nRESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. &quot;Track&quot; is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). &quot;Feature&quot; is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables &quot;TRACK&quot; and &quot;FEATURE&quot; to store variables obtained in feature extraction and extend the OMOP CDM.\nCONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.},\n\tlanguage = {eng},\n\tnumber = {10},\n\tjournal = {JMIR medical informatics},\n\tauthor = {Lamer, Antoine and Fruchart, Mathilde and Paris, Nicolas and Popoff, Benjamin and Payen, Anaïs and Balcaen, Thibaut and Gacquer, William and Bouzillé, Guillaume and Cuggia, Marc and Doutreligne, Matthieu and Chazard, Emmanuel},\n\tmonth = oct,\n\tyear = {2022},\n\tpmid = {36251369},\n\tpmcid = {PMC9623460},\n\tkeywords = {Observation Medical Outcomes Partnership, algorithm, data reuse, data warehouse, database, feature extraction},\n\tpages = {e38936},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Despite the many opportunities data reuse offers, its implementation presents many difficulties, and raw data cannot be reused directly. Information is not always directly available in the source database and needs to be computed afterwards with raw data for defining an algorithm. OBJECTIVE: The main purpose of this article is to present a standardized description of the steps and transformations required during the feature extraction process when conducting retrospective observational studies. A secondary objective is to identify how the features could be stored in the schema of a data warehouse. METHODS: This study involved the following 3 main steps: (1) the collection of relevant study cases related to feature extraction and based on the automatic and secondary use of data; (2) the standardized description of raw data, steps, and transformations, which were common to the study cases; and (3) the identification of an appropriate table to store the features in the Observation Medical Outcomes Partnership (OMOP) common data model (CDM). RESULTS: We interviewed 10 researchers from 3 French university hospitals and a national institution, who were involved in 8 retrospective and observational studies. Based on these studies, 2 states (track and feature) and 2 transformations (track definition and track aggregation) emerged. \"Track\" is a time-dependent signal or period of interest, defined by a statistical unit, a value, and 2 milestones (a start event and an end event). \"Feature\" is time-independent high-level information with dimensionality identical to the statistical unit of the study, defined by a label and a value. The time dimension has become implicit in the value or name of the variable. We propose the 2 tables \"TRACK\" and \"FEATURE\" to store variables obtained in feature extraction and extend the OMOP CDM. CONCLUSIONS: We propose a standardized description of the feature extraction process. The process combined the 2 steps of track definition and track aggregation. By dividing the feature extraction into these 2 steps, difficulty was managed during track definition. The standardization of tracks requires great expertise with regard to the data, but allows the application of an infinite number of complex transformations. On the contrary, track aggregation is a very simple operation with a finite number of possibilities. A complete description of these steps could enhance the reproducibility of retrospective studies.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"erlich-lamer-moussa-martin-rogeau-tavernier-endtidalcarbondioxidefordiagnosinganaphylaxisinpatientswithseverepostinductionhypotension-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  End-tidal Carbon Dioxide for Diagnosing Anaphylaxis in Patients with Severe Postinduction Hypotension.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Erlich, C.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Moussa, M. D.; Martin, J.; Rogeau, S.;  and Tavernier, B.\n</span>\n\n  \n\n</span>\n\n  <i>Anesthesiology</i>, 136(3): 472–481. March 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1097/ALN.0000000000004123\"\n     onclick=\"log_download('erlich-lamer-moussa-martin-rogeau-tavernier-endtidalcarbondioxidefordiagnosinganaphylaxisinpatientswithseverepostinductionhypotension-2022', 'http://doi.org/10.1097/ALN.0000000000004123', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/erlich-lamer-moussa-martin-rogeau-tavernier-endtidalcarbondioxidefordiagnosinganaphylaxisinpatientswithseverepostinductionhypotension-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('erlich-lamer-moussa-martin-rogeau-tavernier-endtidalcarbondioxidefordiagnosinganaphylaxisinpatientswithseverepostinductionhypotension-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{erlich_end-tidal_2022,\n\ttitle = {End-tidal {Carbon} {Dioxide} for {Diagnosing} {Anaphylaxis} in {Patients} with {Severe} {Postinduction} {Hypotension}},\n\tvolume = {136},\n\tissn = {1528-1175},\n\tdoi = {10.1097/ALN.0000000000004123},\n\tabstract = {BACKGROUND: Perioperative hypersensitivity reactions may be difficult to diagnose during general anesthesia. Postinduction hypotension is the most common sign but is not specific. It was recently suggested that low end-tidal carbon dioxide (ETco2) might be a marker of anaphylaxis (Ring and Messmer grades III to IV immediate hypersensitivity reactions) in hypotensive patients under mechanical ventilation. To test this hypothesis, the authors compared ETco2 in patients with a diagnosis of anaphylaxis and in patients with severe hypotension from any other cause after the induction of anesthesia.\nMETHODS: This was a retrospective single-center case-control study in which two groups were formed from an anesthesia data warehouse. The anaphylaxis group was formed on the basis of tryptase/histamine assay data and allergy workup data recorded over the period 2010 to 2018. The control (hypotension) group consisted of all patients having experienced severe hypotension (mean arterial pressure less than 50 mmHg for 5 min or longer) with a cause other than anaphylaxis after anesthesia induction in 2017.\nRESULTS: The anaphylaxis and hypotension groups comprised 49 patients (grade III: n = 38; grade IV: n = 11) and 555 patients, respectively. The minimum ETco2 value was significantly lower in the anaphylaxis group (median [interquartile range]: 17 [12 to 23] mmHg) than in the hypotension group (32 [29 to 34] mmHg; P {\\textless} 0.001). The area under the receiver operating characteristic curve (95\\% CI) for ETco2 was 0.95 (0.91 to 0.99). The sensitivity and specificity (95\\% CI) for the optimal cutoff value were 0.92 (0.82 to 0.98) and 0.94 (0.92 to 0.99), respectively. In multivariable analysis, minimum ETco2 was associated with anaphylaxis after adjusting for confounders and competing predictors, including arterial pressure, heart rate, and peak airway pressure (odds ratio [95\\% CI] for ETco2: 0.51 [0.38 to 0.68]; P {\\textless} 0.001).\nCONCLUSIONS: In case of severe hypotension after anesthesia induction, a low ETco2 contributes to the diagnosis of anaphylaxis, in addition to the classical signs of perioperative immediate hypersensitivity.},\n\tlanguage = {eng},\n\tnumber = {3},\n\tjournal = {Anesthesiology},\n\tauthor = {Erlich, Clémence and Lamer, Antoine and Moussa, Mouhamed D. and Martin, Julien and Rogeau, Stéphanie and Tavernier, Benoit},\n\tmonth = mar,\n\tyear = {2022},\n\tpmid = {35041738},\n\tkeywords = {Anaphylaxis, Anesthesia, General, Carbon Dioxide, Case-Control Studies, Female, Humans, Hypotension, Male, Middle Aged, Retrospective Studies, Tidal Volume},\n\tpages = {472--481},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Perioperative hypersensitivity reactions may be difficult to diagnose during general anesthesia. Postinduction hypotension is the most common sign but is not specific. It was recently suggested that low end-tidal carbon dioxide (ETco2) might be a marker of anaphylaxis (Ring and Messmer grades III to IV immediate hypersensitivity reactions) in hypotensive patients under mechanical ventilation. To test this hypothesis, the authors compared ETco2 in patients with a diagnosis of anaphylaxis and in patients with severe hypotension from any other cause after the induction of anesthesia. METHODS: This was a retrospective single-center case-control study in which two groups were formed from an anesthesia data warehouse. The anaphylaxis group was formed on the basis of tryptase/histamine assay data and allergy workup data recorded over the period 2010 to 2018. The control (hypotension) group consisted of all patients having experienced severe hypotension (mean arterial pressure less than 50 mmHg for 5 min or longer) with a cause other than anaphylaxis after anesthesia induction in 2017. RESULTS: The anaphylaxis and hypotension groups comprised 49 patients (grade III: n = 38; grade IV: n = 11) and 555 patients, respectively. The minimum ETco2 value was significantly lower in the anaphylaxis group (median [interquartile range]: 17 [12 to 23] mmHg) than in the hypotension group (32 [29 to 34] mmHg; P \\textless 0.001). The area under the receiver operating characteristic curve (95% CI) for ETco2 was 0.95 (0.91 to 0.99). The sensitivity and specificity (95% CI) for the optimal cutoff value were 0.92 (0.82 to 0.98) and 0.94 (0.92 to 0.99), respectively. In multivariable analysis, minimum ETco2 was associated with anaphylaxis after adjusting for confounders and competing predictors, including arterial pressure, heart rate, and peak airway pressure (odds ratio [95% CI] for ETco2: 0.51 [0.38 to 0.68]; P \\textless 0.001). CONCLUSIONS: In case of severe hypotension after anesthesia induction, a low ETco2 contributes to the diagnosis of anaphylaxis, in addition to the classical signs of perioperative immediate hypersensitivity.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"elidrissi-fruchart-belarbi-lamer-duboisderuy-lemdani-nguessan-guinhouya-etal-explorationofthecoreproteinnetworkunderendometriosissymptomatologyusingacomputationalapproach-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Exploration of the core protein network under endometriosis symptomatology using a computational approach.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  El Idrissi, F.; Fruchart, M.; Belarbi, K.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Dubois-Deruy, E.; Lemdani, M.; N'Guessan, A. L.; Guinhouya, B. C.;  and Zitouni, D.\n</span>\n\n  \n\n</span>\n\n  <i>Frontiers in Endocrinology</i>, 13: 869053.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3389/fendo.2022.869053\"\n     onclick=\"log_download('elidrissi-fruchart-belarbi-lamer-duboisderuy-lemdani-nguessan-guinhouya-etal-explorationofthecoreproteinnetworkunderendometriosissymptomatologyusingacomputationalapproach-2022', 'http://doi.org/10.3389/fendo.2022.869053', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/elidrissi-fruchart-belarbi-lamer-duboisderuy-lemdani-nguessan-guinhouya-etal-explorationofthecoreproteinnetworkunderendometriosissymptomatologyusingacomputationalapproach-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('elidrissi-fruchart-belarbi-lamer-duboisderuy-lemdani-nguessan-guinhouya-etal-explorationofthecoreproteinnetworkunderendometriosissymptomatologyusingacomputationalapproach-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{el_idrissi_exploration_2022,\n\ttitle = {Exploration of the core protein network under endometriosis symptomatology using a computational approach},\n\tvolume = {13},\n\tissn = {1664-2392},\n\tdoi = {10.3389/fendo.2022.869053},\n\tabstract = {BACKGROUND: Endometriosis is defined by implantation and invasive growth of endometrial tissue in extra-uterine locations causing heterogeneous symptoms, and a unique clinical picture for each patient. Understanding the complex biological mechanisms underlying these symptoms and the protein networks involved may be useful for early diagnosis and identification of pharmacological targets.\nMETHODS: In the present study, we combined three approaches (i) a text-mining analysis to perform a systematic search of proteins over existing literature, (ii) a functional enrichment analysis to identify the biological pathways in which proteins are most involved, and (iii) a protein-protein interaction (PPI) network to identify which proteins modulate the most strongly the symptomatology of endometriosis.\nRESULTS: Two hundred seventy-eight proteins associated with endometriosis symptomatology in the scientific literature were extracted. Thirty-five proteins were selected according to degree and betweenness scores criteria. The most enriched biological pathways associated with these symptoms were (i) Interleukin-4 and Interleukin-13 signaling (p = 1.11 x 10-16), (ii) Signaling by Interleukins (p = 1.11 x 10-16), (iii) Cytokine signaling in Immune system (p = 1.11 x 10-16), and (iv) Interleukin-10 signaling (p = 5.66 x 10-15).\nCONCLUSION: Our study identified some key proteins with the ability to modulate endometriosis symptomatology. Our findings indicate that both pro- and anti-inflammatory biological pathways may play important roles in the symptomatology of endometriosis. This approach represents a genuine systemic method that may complement traditional experimental studies. The current data can be used to identify promising biomarkers for early diagnosis and potential therapeutic targets.},\n\tlanguage = {eng},\n\tjournal = {Frontiers in Endocrinology},\n\tauthor = {El Idrissi, Fatima and Fruchart, Mathilde and Belarbi, Karim and Lamer, Antoine and Dubois-Deruy, Emilie and Lemdani, Mohamed and N&#x27;Guessan, Assi L. and Guinhouya, Benjamin C. and Zitouni, Djamel},\n\tyear = {2022},\n\tpmid = {36120440},\n\tpmcid = {PMC9478376},\n\tkeywords = {Endometriosis, Female, Humans, Interleukin-10, Interleukin-13, Interleukin-4, Protein Interaction Maps, cell signaling, endometrium, female infertility, systems biology, text-mining},\n\tpages = {869053},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Endometriosis is defined by implantation and invasive growth of endometrial tissue in extra-uterine locations causing heterogeneous symptoms, and a unique clinical picture for each patient. Understanding the complex biological mechanisms underlying these symptoms and the protein networks involved may be useful for early diagnosis and identification of pharmacological targets. METHODS: In the present study, we combined three approaches (i) a text-mining analysis to perform a systematic search of proteins over existing literature, (ii) a functional enrichment analysis to identify the biological pathways in which proteins are most involved, and (iii) a protein-protein interaction (PPI) network to identify which proteins modulate the most strongly the symptomatology of endometriosis. RESULTS: Two hundred seventy-eight proteins associated with endometriosis symptomatology in the scientific literature were extracted. Thirty-five proteins were selected according to degree and betweenness scores criteria. The most enriched biological pathways associated with these symptoms were (i) Interleukin-4 and Interleukin-13 signaling (p = 1.11 x 10-16), (ii) Signaling by Interleukins (p = 1.11 x 10-16), (iii) Cytokine signaling in Immune system (p = 1.11 x 10-16), and (iv) Interleukin-10 signaling (p = 5.66 x 10-15). CONCLUSION: Our study identified some key proteins with the ability to modulate endometriosis symptomatology. Our findings indicate that both pro- and anti-inflammatory biological pathways may play important roles in the symptomatology of endometriosis. This approach represents a genuine systemic method that may complement traditional experimental studies. The current data can be used to identify promising biomarkers for early diagnosis and potential therapeutic targets.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"oubenali-messaoud-filiot-lamer-andrey-visualizationofmedicalconceptsrepresentedusingwordembeddingsascopingreview-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Visualization of medical concepts represented using word embeddings: a scoping review.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Oubenali, N.; Messaoud, S.; Filiot, A.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>;  and Andrey, P.\n</span>\n\n  \n\n</span>\n\n  <i>BMC medical informatics and decision making</i>, 22(1): 83. March 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1186/s12911-022-01822-9\"\n     onclick=\"log_download('oubenali-messaoud-filiot-lamer-andrey-visualizationofmedicalconceptsrepresentedusingwordembeddingsascopingreview-2022', 'http://doi.org/10.1186/s12911-022-01822-9', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/oubenali-messaoud-filiot-lamer-andrey-visualizationofmedicalconceptsrepresentedusingwordembeddingsascopingreview-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('oubenali-messaoud-filiot-lamer-andrey-visualizationofmedicalconceptsrepresentedusingwordembeddingsascopingreview-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{oubenali_visualization_2022,\n\ttitle = {Visualization of medical concepts represented using word embeddings: a scoping review},\n\tvolume = {22},\n\tissn = {1472-6947},\n\tshorttitle = {Visualization of medical concepts represented using word embeddings},\n\tdoi = {10.1186/s12911-022-01822-9},\n\tabstract = {BACKGROUND: Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approaches in natural language processing (NLP), to learn dense and low-dimensional word representations from large unlabeled corpora that capture the implicit semantics of words. Models like Word2Vec, GloVe or FastText have been broadly applied and reviewed in the bioinformatics and healthcare fields, most often to embed clinical notes or activity and diagnostic codes. Visualization of the learned embeddings has been used in a subset of these works, whether for exploratory or evaluation purposes. However, visualization practices tend to be heterogeneous, and lack overall guidelines.\nOBJECTIVE: This scoping review aims to describe the methods and strategies used to visualize medical concepts represented using word embedding methods. We aim to understand the objectives of the visualizations and their limits.\nMETHODS: This scoping review summarizes different methods used to visualize word embeddings in healthcare. We followed the methodology proposed by Arksey and O&#x27;Malley (Int J Soc Res Methodol 8:19-32, 2005) and by Levac et al. (Implement Sci 5:69, 2010) to better analyze the data and provide a synthesis of the literature on the matter.\nRESULTS: We first obtained 471 unique articles from a search conducted in PubMed, MedRxiv and arXiv databases. 30 of these were effectively reviewed, based on our inclusion and exclusion criteria. 23 articles were excluded in the full review stage, resulting in the analysis of 7 papers that fully correspond to our inclusion criteria. Included papers pursued a variety of objectives and used distinct methods to evaluate their embeddings and to visualize them. Visualization also served heterogeneous purposes, being alternatively used as a way to explore the embeddings, to evaluate them or to merely illustrate properties otherwise formally assessed.\nCONCLUSIONS: Visualization helps to explore embedding results (further dimensionality reduction, synthetic representation). However, it does not exhaust the information conveyed by the embeddings nor constitute a self-sustaining evaluation method of their pertinence.},\n\tlanguage = {eng},\n\tnumber = {1},\n\tjournal = {BMC medical informatics and decision making},\n\tauthor = {Oubenali, Naima and Messaoud, Sabrina and Filiot, Alexandre and Lamer, Antoine and Andrey, Paul},\n\tmonth = mar,\n\tyear = {2022},\n\tpmid = {35351120},\n\tpmcid = {PMC8962592},\n\tkeywords = {Data mining, Databases, Factual, Deep learning, Electronic Health Records, Humans, Medical, Natural Language Processing, Natural language processing, PubMed, Semantics, Visualization, Word embeddings},\n\tpages = {83},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Analyzing the unstructured textual data contained in electronic health records (EHRs) has always been a challenging task. Word embedding methods have become an essential foundation for neural network-based approaches in natural language processing (NLP), to learn dense and low-dimensional word representations from large unlabeled corpora that capture the implicit semantics of words. Models like Word2Vec, GloVe or FastText have been broadly applied and reviewed in the bioinformatics and healthcare fields, most often to embed clinical notes or activity and diagnostic codes. Visualization of the learned embeddings has been used in a subset of these works, whether for exploratory or evaluation purposes. However, visualization practices tend to be heterogeneous, and lack overall guidelines. OBJECTIVE: This scoping review aims to describe the methods and strategies used to visualize medical concepts represented using word embedding methods. We aim to understand the objectives of the visualizations and their limits. METHODS: This scoping review summarizes different methods used to visualize word embeddings in healthcare. We followed the methodology proposed by Arksey and O'Malley (Int J Soc Res Methodol 8:19-32, 2005) and by Levac et al. (Implement Sci 5:69, 2010) to better analyze the data and provide a synthesis of the literature on the matter. RESULTS: We first obtained 471 unique articles from a search conducted in PubMed, MedRxiv and arXiv databases. 30 of these were effectively reviewed, based on our inclusion and exclusion criteria. 23 articles were excluded in the full review stage, resulting in the analysis of 7 papers that fully correspond to our inclusion criteria. Included papers pursued a variety of objectives and used distinct methods to evaluate their embeddings and to visualize them. Visualization also served heterogeneous purposes, being alternatively used as a way to explore the embeddings, to evaluate them or to merely illustrate properties otherwise formally assessed. CONCLUSIONS: Visualization helps to explore embedding results (further dimensionality reduction, synthetic representation). However, it does not exhaust the information conveyed by the embeddings nor constitute a self-sustaining evaluation method of their pertinence.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ebooks.iospress.nl/doi/10.3233/SHTI220906\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022', 'https://ebooks.iospress.nl/doi/10.3233/SHTI220906', event);\">\n    Master’s Degree in Health Data Science: Implementation and Assessment After Five Years.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Oubenali, N.; Marcilly, R.; Fruchart, M.;  and Guinhouya, B.\n</span>\n\n  \n\n</span>\n\n  In <i>Digital Professionalism in Health and Care: Developing the Workforce, Building the Future</i>, pages 51–55. IOS Press,  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ebooks.iospress.nl/doi/10.3233/SHTI220906\"\n     onclick=\"log_download('lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022', 'https://ebooks.iospress.nl/doi/10.3233/SHTI220906', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Master’s Degree in Health Data Science: Implementation and Assessment After Five Years [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI220906\"\n     onclick=\"log_download('lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022', 'http://doi.org/10.3233/SHTI220906', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-oubenali-marcilly-fruchart-guinhouya-mastersdegreeinhealthdatascienceimplementationandassessmentafterfiveyears-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@incollection{lamer_masters_2022,\n\ttitle = {Master’s {Degree} in {Health} {Data} {Science}: {Implementation} and {Assessment} {After} {Five} {Years}},\n\tshorttitle = {Master’s {Degree} in {Health} {Data} {Science}},\n\turl = {https://ebooks.iospress.nl/doi/10.3233/SHTI220906},\n\turldate = {2024-01-18},\n\tbooktitle = {Digital {Professionalism} in {Health} and {Care}: {Developing} the {Workforce}, {Building} the {Future}},\n\tpublisher = {IOS Press},\n\tauthor = {Lamer, Antoine and Oubenali, Naima and Marcilly, Romaric and Fruchart, Mathilde and Guinhouya, Benjamin},\n\tyear = {2022},\n\tdoi = {10.3233/SHTI220906},\n\tpages = {51--55},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"beign-lamer-eck-horn-benbouriche-thomas-amad-fovet-adescriptivestudyofpsychiatriccareandpresentencingpsychiatricreportsinafrenchhighsecurityprison-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  [A descriptive study of psychiatric care and pre-sentencing psychiatric reports in a French high-security prison].\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Beigné, M.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Eck, M.; Horn, M.; Benbouriche, M.; Thomas, P.; Amad, A.;  and Fovet, T.\n</span>\n\n  \n\n</span>\n\n  <i>L'Encephale</i>,S0013–7006(22)00031–8. March 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.encep.2021.12.001\"\n     onclick=\"log_download('beign-lamer-eck-horn-benbouriche-thomas-amad-fovet-adescriptivestudyofpsychiatriccareandpresentencingpsychiatricreportsinafrenchhighsecurityprison-2022', 'http://doi.org/10.1016/j.encep.2021.12.001', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/beign-lamer-eck-horn-benbouriche-thomas-amad-fovet-adescriptivestudyofpsychiatriccareandpresentencingpsychiatricreportsinafrenchhighsecurityprison-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('beign-lamer-eck-horn-benbouriche-thomas-amad-fovet-adescriptivestudyofpsychiatriccareandpresentencingpsychiatricreportsinafrenchhighsecurityprison-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{beigne_descriptive_2022,\n\ttitle = {[{A} descriptive study of psychiatric care and pre-sentencing psychiatric reports in a {French} high-security prison]},\n\tissn = {0013-7006},\n\tdoi = {10.1016/j.encep.2021.12.001},\n\tabstract = {CONTEXT: The high prevalence of psychiatric disorders among people in prison is well documented, and several hypotheses have been proposed to explain this overrepresentation. In France, the decrease in the number of people found by the judge to be not criminally responsible on account of mental disorder after a psychiatric expertise could play a crucial role. The Château-Thierry prison is a high-security correctional facility where prisoners whose integration into a &quot;standard&quot; prison is complicated because of behavioural problems, reside. We conducted the first study to describe the judicial and healthcare trajectories of people incarcerated in this facility.\nMETHOD: All the people incarcerated in the Château-Thierry prison between May and September 2019 were included in this cross-sectional study. In addition to sociodemographic characteristics, data on the psychiatric care before and during incarceration as well as information on the judicial and prison history were collected. We also analyzed all the pre-sentencing psychiatric reports in order to collect the degree of discernment determined by the psychiatrist expert for each included individual.\nRESULTS: Sixty-eight (97\\%) of the 70 people detained at the Château-Thierry prison during the study period were included and 92 pre-sentencing psychiatric reports were analyzed. The population studied was exclusively male, with an average age of 40 years, low socio-economic status and frequent criminal history (79\\%). About half of them (46\\%) had already been hospitalized in a psychiatric community hospital prior to incarceration, and 79\\% have been hospitalized in a psychiatric facility during their incarceration. Disciplinary sanctions were frequent (72\\%) as well as convictions for offenses committed while in prison (57\\%). When at least one pre-sentencing psychiatric report was carried out (29 persons had a single psychiatric forensic evaluation and 27 ones had multiple evaluations), at least one psychiatric expert had concluded to a diminished (but not lack of) criminal responsibility in almost half of the cases (44\\%).\nCONCLUSION: This study shows the extent to which people incarcerated in the Château-Thierry prison are affected by psychiatric disorders. It also highlights the difficulties of coping with the prison environment for people suffering from psychiatric disorders. Finally, it raises the question of the lack of diversion programs for the individuals in France with mental health problems whose responsibility has been considered as full or diminished.},\n\tlanguage = {fre},\n\tjournal = {L&#x27;Encephale},\n\tauthor = {Beigné, M. and Lamer, A. and Eck, M. and Horn, M. and Benbouriche, M. and Thomas, P. and Amad, A. and Fovet, T.},\n\tmonth = mar,\n\tyear = {2022},\n\tpmid = {35331468},\n\tkeywords = {Diminished criminal responsibility, Expertise psychiatrique pré-sentencielle, Irresponsabilité pénale, Lack of criminal responsibility, Milieu carcéral, Parcours de soins, Pre-sentencing psychiatric report, Prison environment, Psychiatric care, Psychiatric expertise, Troubles psychiatriques},\n\tpages = {S0013--7006(22)00031--8},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  CONTEXT: The high prevalence of psychiatric disorders among people in prison is well documented, and several hypotheses have been proposed to explain this overrepresentation. In France, the decrease in the number of people found by the judge to be not criminally responsible on account of mental disorder after a psychiatric expertise could play a crucial role. The Château-Thierry prison is a high-security correctional facility where prisoners whose integration into a \"standard\" prison is complicated because of behavioural problems, reside. We conducted the first study to describe the judicial and healthcare trajectories of people incarcerated in this facility. METHOD: All the people incarcerated in the Château-Thierry prison between May and September 2019 were included in this cross-sectional study. In addition to sociodemographic characteristics, data on the psychiatric care before and during incarceration as well as information on the judicial and prison history were collected. We also analyzed all the pre-sentencing psychiatric reports in order to collect the degree of discernment determined by the psychiatrist expert for each included individual. RESULTS: Sixty-eight (97%) of the 70 people detained at the Château-Thierry prison during the study period were included and 92 pre-sentencing psychiatric reports were analyzed. The population studied was exclusively male, with an average age of 40 years, low socio-economic status and frequent criminal history (79%). About half of them (46%) had already been hospitalized in a psychiatric community hospital prior to incarceration, and 79% have been hospitalized in a psychiatric facility during their incarceration. Disciplinary sanctions were frequent (72%) as well as convictions for offenses committed while in prison (57%). When at least one pre-sentencing psychiatric report was carried out (29 persons had a single psychiatric forensic evaluation and 27 ones had multiple evaluations), at least one psychiatric expert had concluded to a diminished (but not lack of) criminal responsibility in almost half of the cases (44%). CONCLUSION: This study shows the extent to which people incarcerated in the Château-Thierry prison are affected by psychiatric disorders. It also highlights the difficulties of coping with the prison environment for people suffering from psychiatric disorders. Finally, it raises the question of the lack of diversion programs for the individuals in France with mental health problems whose responsibility has been considered as full or diminished.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"m-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://pubmed.ncbi.nlm.nih.gov/35612131/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'm-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022', 'https://pubmed.ncbi.nlm.nih.gov/35612131/', event);\">\n    Implementation of a Data Warehouse in Primary Care: First Analyses with Elderly Patients.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  M, F.; P, Q.; H, P.; Jb, B.; M, C.;  and A, L.\n</span>\n\n  \n\n</span>\n\n  <i>Studies in health technology and informatics</i>, 294. May 2022.\n  <span class=\"note\">Publisher: Stud Health Technol Inform</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://pubmed.ncbi.nlm.nih.gov/35612131/\"\n     onclick=\"log_download('m-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022', 'https://pubmed.ncbi.nlm.nih.gov/35612131/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Implementation of a Data Warehouse in Primary Care: First Analyses with Elderly Patients [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI220510\"\n     onclick=\"log_download('m-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022', 'http://doi.org/10.3233/SHTI220510', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/m-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('m-p-h-jb-m-a-implementationofadatawarehouseinprimarycarefirstanalyseswithelderlypatients-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{m_implementation_2022,\n\ttitle = {Implementation of a {Data} {Warehouse} in {Primary} {Care}: {First} {Analyses} with {Elderly} {Patients}},\n\tvolume = {294},\n\tissn = {1879-8365},\n\tshorttitle = {Implementation of a {Data} {Warehouse} in {Primary} {Care}},\n\turl = {https://pubmed.ncbi.nlm.nih.gov/35612131/},\n\tdoi = {10.3233/SHTI220510},\n\tabstract = {The implementation of clinical data warehouses has advanced in recent years. The standardization of clinical data in these warehouses has made it possible to carry out multicenter studies and to formalize the clinical vocabulary. However, there is limited insight into a patient&#x27;s overall care pathwa …},\n\tlanguage = {en},\n\turldate = {2023-11-21},\n\tjournal = {Studies in health technology and informatics},\n\tauthor = {M, Fruchart and P, Quindroit and H, Patel and Jb, Beuscart and M, Calafiore and A, Lamer},\n\tmonth = may,\n\tyear = {2022},\n\tpmid = {35612131},\n\tnote = {Publisher: Stud Health Technol Inform},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The implementation of clinical data warehouses has advanced in recent years. The standardization of clinical data in these warehouses has made it possible to carry out multicenter studies and to formalize the clinical vocabulary. However, there is limited insight into a patient's overall care pathwa …\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"moussa-rousse-abouarab-lamer-gantois-soquet-liu-mugnier-etal-subclavianversusfemoralarterialcannulationsduringextracorporealmembraneoxygenationapropensitymatchedcomparison-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation: A propensity-matched comparison.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Moussa, M. D.; Rousse, N.; Abou Arab, O.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Gantois, G.; Soquet, J.; Liu, V.; Mugnier, A.; Duburcq, T.; Petitgand, V.; Foulon, V.; Dumontet, J.; Deblauwe, D.; Juthier, F.; Desbordes, J.; Loobuyck, V.; Labreuche, J.; Robin, E.;  and Vincentelli, A.\n</span>\n\n  \n\n</span>\n\n  <i>The Journal of Heart and Lung Transplantation: The Official Publication of the International Society for Heart Transplantation</i>, 41(5): 608–618. May 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.healun.2022.01.007\"\n     onclick=\"log_download('moussa-rousse-abouarab-lamer-gantois-soquet-liu-mugnier-etal-subclavianversusfemoralarterialcannulationsduringextracorporealmembraneoxygenationapropensitymatchedcomparison-2022', 'http://doi.org/10.1016/j.healun.2022.01.007', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/moussa-rousse-abouarab-lamer-gantois-soquet-liu-mugnier-etal-subclavianversusfemoralarterialcannulationsduringextracorporealmembraneoxygenationapropensitymatchedcomparison-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('moussa-rousse-abouarab-lamer-gantois-soquet-liu-mugnier-etal-subclavianversusfemoralarterialcannulationsduringextracorporealmembraneoxygenationapropensitymatchedcomparison-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{moussa_subclavian_2022,\n\ttitle = {Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation: {A} propensity-matched comparison},\n\tvolume = {41},\n\tissn = {1557-3117},\n\tshorttitle = {Subclavian versus femoral arterial cannulations during extracorporeal membrane oxygenation},\n\tdoi = {10.1016/j.healun.2022.01.007},\n\tabstract = {BACKGROUND: During peripheral extracorporeal veno-arterial membrane oxygenation (VA-ECMO) support, subclavian arterial cannulation provides, in comparison to femoral arterial cannulation, an anterograde flow which may prevent from left ventricular (LV) distention and improve outcomes. We aimed to compare the effectiveness of subclavian cannulation to femoral cannulation in reducing LV overdistension consequences, hemostatic complications and mortality.\nMETHODS: This retrospective study conducted in two intensive care units of the Lille academic hospitals from January 2013 to December 2019 included 372 non-moribund adult patients supported by VA-ECMO. The primary endpoint was a new onset of pulmonary edema (PO) or LV unloading. Secondary endpoints were myocardial recovery, serious bleeding (according to Extracorporeal Life Support Organization definition), thrombotic complications (a composite of stroke, cannulated limb or mesenteric ischemia, intracardiac or aortic-root thrombosis) and 28 day mortality. Differences in outcomes were analyzed using propensity score matching (PSM) and inverse probability of treatment weighting adjustment (IPTW).\nRESULTS: As compared to femoral cannulation (n = 320 patients), subclavian cannulation (n = 52 patients) did not reduce the occurrence of new onset of PO or LV unloading after PSM [HR 0.99 (95\\% CI 0.51-1.91)]. There was no other difference in outcomes in PSM cohort. In IPTW adjustment cohort, subclavian cannulation was associated with reduced recovery and increased serious bleeding with four accidental decannulations observed.\nCONCLUSION: Subclavian artery cannulation was not associated with reduced LV distension related complications, thrombotic complications and 28 day mortality. Rather, it may increase serious bleeding and accidental decannulations, and reduce recovery. Therefore, subclavian cannulation should be limited to vascular accessibility issues.},\n\tlanguage = {eng},\n\tnumber = {5},\n\tjournal = {The Journal of Heart and Lung Transplantation: The Official Publication of the International Society for Heart Transplantation},\n\tauthor = {Moussa, Mouhamed Djahoum and Rousse, Natacha and Abou Arab, Osama and Lamer, Antoine and Gantois, Guillaume and Soquet, Jerome and Liu, Vincent and Mugnier, Agnès and Duburcq, Thibault and Petitgand, Vincent and Foulon, Valentin and Dumontet, Jocelyn and Deblauwe, Delphine and Juthier, Francis and Desbordes, Jacques and Loobuyck, Valentin and Labreuche, Julien and Robin, Emmanuel and Vincentelli, André},\n\tmonth = may,\n\tyear = {2022},\n\tpmid = {35090808},\n\tkeywords = {Adult, Catheterization, Extracorporeal Membrane Oxygenation, Hemorrhage, Humans, Propensity Score, Retrospective Studies, Veno-arterial extracorporeal membrane oxygenation (ECMO), left ventricle distension, mortality, pulmonary edema, serious bleeding thrombotic complications},\n\tpages = {608--618},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: During peripheral extracorporeal veno-arterial membrane oxygenation (VA-ECMO) support, subclavian arterial cannulation provides, in comparison to femoral arterial cannulation, an anterograde flow which may prevent from left ventricular (LV) distention and improve outcomes. We aimed to compare the effectiveness of subclavian cannulation to femoral cannulation in reducing LV overdistension consequences, hemostatic complications and mortality. METHODS: This retrospective study conducted in two intensive care units of the Lille academic hospitals from January 2013 to December 2019 included 372 non-moribund adult patients supported by VA-ECMO. The primary endpoint was a new onset of pulmonary edema (PO) or LV unloading. Secondary endpoints were myocardial recovery, serious bleeding (according to Extracorporeal Life Support Organization definition), thrombotic complications (a composite of stroke, cannulated limb or mesenteric ischemia, intracardiac or aortic-root thrombosis) and 28 day mortality. Differences in outcomes were analyzed using propensity score matching (PSM) and inverse probability of treatment weighting adjustment (IPTW). RESULTS: As compared to femoral cannulation (n = 320 patients), subclavian cannulation (n = 52 patients) did not reduce the occurrence of new onset of PO or LV unloading after PSM [HR 0.99 (95% CI 0.51-1.91)]. There was no other difference in outcomes in PSM cohort. In IPTW adjustment cohort, subclavian cannulation was associated with reduced recovery and increased serious bleeding with four accidental decannulations observed. CONCLUSION: Subclavian artery cannulation was not associated with reduced LV distension related complications, thrombotic complications and 28 day mortality. Rather, it may increase serious bleeding and accidental decannulations, and reduce recovery. Therefore, subclavian cannulation should be limited to vascular accessibility issues.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"puigrenier-giovannelli-lamblin-degroote-fertin-bervar-lamer-edm-etal-mildpulmonaryhemodynamicalterationsinpatientswithsystemicsclerosisrelevanceofthenew2022escersdefinitionofpulmonaryhypertensionandimpactonmortality-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Mild pulmonary hemodynamic alterations in patients with systemic sclerosis: relevance of the new 2022 ESC/ERS definition of pulmonary hypertension and impact on mortality.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Puigrenier, S.; Giovannelli, J.; Lamblin, N.; De Groote, P.; Fertin, M.; Bervar, J.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Edmé, J.; Balquet, M.; Sobanski, V.; Launay, D.; Hachulla, É.;  and Sanges, S.\n</span>\n\n  \n\n</span>\n\n  <i>Respiratory Research</i>, 23(1): 284. October 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1186/s12931-022-02205-4\"\n     onclick=\"log_download('puigrenier-giovannelli-lamblin-degroote-fertin-bervar-lamer-edm-etal-mildpulmonaryhemodynamicalterationsinpatientswithsystemicsclerosisrelevanceofthenew2022escersdefinitionofpulmonaryhypertensionandimpactonmortality-2022', 'http://doi.org/10.1186/s12931-022-02205-4', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/puigrenier-giovannelli-lamblin-degroote-fertin-bervar-lamer-edm-etal-mildpulmonaryhemodynamicalterationsinpatientswithsystemicsclerosisrelevanceofthenew2022escersdefinitionofpulmonaryhypertensionandimpactonmortality-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('puigrenier-giovannelli-lamblin-degroote-fertin-bervar-lamer-edm-etal-mildpulmonaryhemodynamicalterationsinpatientswithsystemicsclerosisrelevanceofthenew2022escersdefinitionofpulmonaryhypertensionandimpactonmortality-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{puigrenier_mild_2022,\n\ttitle = {Mild pulmonary hemodynamic alterations in patients with systemic sclerosis: relevance of the new 2022 {ESC}/{ERS} definition of pulmonary hypertension and impact on mortality},\n\tvolume = {23},\n\tissn = {1465-993X},\n\tshorttitle = {Mild pulmonary hemodynamic alterations in patients with systemic sclerosis},\n\tdoi = {10.1186/s12931-022-02205-4},\n\tabstract = {BACKGROUND AND OBJECTIVE: The definition of pre-capillary pulmonary hypertension (PH) has been modified, with lowering of the mean pulmonary arterial pressure (mPAP) threshold from 25 to 20 mmHg and addition of a mandatory criterion of pulmonary vascular resistance (PVR) ≥ 2 Wood units (WU). Our objectives were: 1/ to estimate the proportion of patients reclassified as having pre-capillary PH when using the new 2022 ESC/ERS hemodynamic criteria (i.e. mPAP 21-24 mmHg and PVR ≥ 2 WU), and to describe their clinical characteristics and outcome; and 2/ to study the relationship between PVR and survival in patients with mPAP {\\textgreater} 20 mmHg.\nMETHODS: We retrospectively analyzed consecutive SSc patients included in our National Reference Center for a first right-heart catheterization between 2003 and 2018. The association between survival and PVR was studied using smoothing splines.\nRESULTS: We included 126 SSc patients with mPAP {\\textgreater} 20 mmHg. Among them, 16 (13\\%) had a baseline mPAP value between 21 and 24 mmHg and PVR ≥ 2 mmHg and were reclassified as pre-capillary PH; 10 of which (62\\%) raised their mPAP ≥ 25 mmHg during follow-up. In patients with mPAP {\\textgreater} 20 mmHg, we observed a linear relation between PVR and mortality for values {\\textless} 6 WU.\nCONCLUSION: A significant proportion of SSc patients is reclassified as having pre-capillary PH with the new 2022 ESC/ERS hemodynamic definition. Lowering the PVR threshold from 3 to 2 WU captures patients at risk of raising their mPAP {\\textgreater} 25 mmHg, with a possibly less severe disease.},\n\tlanguage = {eng},\n\tnumber = {1},\n\tjournal = {Respiratory Research},\n\tauthor = {Puigrenier, Sébastien and Giovannelli, Jonathan and Lamblin, Nicolas and De Groote, Pascal and Fertin, Marie and Bervar, Jean-François and Lamer, Antoine and Edmé, Jean-Louis and Balquet, Marie-Hélène and Sobanski, Vincent and Launay, David and Hachulla, Éric and Sanges, Sébastien},\n\tmonth = oct,\n\tyear = {2022},\n\tpmid = {36243869},\n\tpmcid = {PMC9571468},\n\tkeywords = {Diagnostic criteria, Hemodynamics, Humans, Hypertension, Pulmonary, Mortality, Pulmonary arterial hypertension, Pulmonary hypertension, Pulmonary vascular resistance, Retrospective Studies, Scleroderma, Systemic, Systemic sclerosis, Vascular Resistance},\n\tpages = {284},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND AND OBJECTIVE: The definition of pre-capillary pulmonary hypertension (PH) has been modified, with lowering of the mean pulmonary arterial pressure (mPAP) threshold from 25 to 20 mmHg and addition of a mandatory criterion of pulmonary vascular resistance (PVR) ≥ 2 Wood units (WU). Our objectives were: 1/ to estimate the proportion of patients reclassified as having pre-capillary PH when using the new 2022 ESC/ERS hemodynamic criteria (i.e. mPAP 21-24 mmHg and PVR ≥ 2 WU), and to describe their clinical characteristics and outcome; and 2/ to study the relationship between PVR and survival in patients with mPAP \\textgreater 20 mmHg. METHODS: We retrospectively analyzed consecutive SSc patients included in our National Reference Center for a first right-heart catheterization between 2003 and 2018. The association between survival and PVR was studied using smoothing splines. RESULTS: We included 126 SSc patients with mPAP \\textgreater 20 mmHg. Among them, 16 (13%) had a baseline mPAP value between 21 and 24 mmHg and PVR ≥ 2 mmHg and were reclassified as pre-capillary PH; 10 of which (62%) raised their mPAP ≥ 25 mmHg during follow-up. In patients with mPAP \\textgreater 20 mmHg, we observed a linear relation between PVR and mortality for values \\textless 6 WU. CONCLUSION: A significant proportion of SSc patients is reclassified as having pre-capillary PH with the new 2022 ESC/ERS hemodynamic definition. Lowering the PVR threshold from 3 to 2 WU captures patients at risk of raising their mPAP \\textgreater 25 mmHg, with a possibly less severe disease.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"chazard-balaye-balcaen-genin-cuggia-bouzille-lamer-bookmusicrepresentationfortemporaldataasapartofthefeatureextractionprocessanovelapproachtoimprovethehandlingoftimedependentdatainsecondaryuseofhealthcarestructureddata-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  \"Book Music\" Representation for Temporal Data, as a Part of the Feature Extraction Process: A Novel Approach to Improve the Handling of Time-Dependent Data in Secondary Use of Healthcare Structured Data.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Chazard, E.; Balaye, P.; Balcaen, T.; Genin, M.; Cuggia, M.; Bouzille, G.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 290: 567–571. June 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI220141\"\n     onclick=\"log_download('chazard-balaye-balcaen-genin-cuggia-bouzille-lamer-bookmusicrepresentationfortemporaldataasapartofthefeatureextractionprocessanovelapproachtoimprovethehandlingoftimedependentdatainsecondaryuseofhealthcarestructureddata-2022', 'http://doi.org/10.3233/SHTI220141', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/chazard-balaye-balcaen-genin-cuggia-bouzille-lamer-bookmusicrepresentationfortemporaldataasapartofthefeatureextractionprocessanovelapproachtoimprovethehandlingoftimedependentdatainsecondaryuseofhealthcarestructureddata-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('chazard-balaye-balcaen-genin-cuggia-bouzille-lamer-bookmusicrepresentationfortemporaldataasapartofthefeatureextractionprocessanovelapproachtoimprovethehandlingoftimedependentdatainsecondaryuseofhealthcarestructureddata-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{chazard_book_2022,\n\ttitle = {&quot;{Book} {Music}&quot; {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}: {A} {Novel} {Approach} to {Improve} the {Handling} of {Time}-{Dependent} {Data} in {Secondary} {Use} of {Healthcare} {Structured} {Data}},\n\tvolume = {290},\n\tissn = {1879-8365},\n\tshorttitle = {&quot;{Book} {Music}&quot; {Representation} for {Temporal} {Data}, as a {Part} of the {Feature} {Extraction} {Process}},\n\tdoi = {10.3233/SHTI220141},\n\tabstract = {Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the &quot;true&quot; value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The &quot;book music&quot; approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Chazard, Emmanuel and Balaye, Pierre and Balcaen, Thibaut and Genin, Michaël and Cuggia, Marc and Bouzille, Guillaume and Lamer, Antoine},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35673080},\n\tkeywords = {Data reuse, feature extraction, survival analyses},\n\tpages = {567--571},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Book music is extensively used in street organs. It consists of thick cardboard, containing perforated holes specifying the musical notes. We propose to represent clinical time-dependent data in a tabular form inspired from this principle. The sheet represents a statistical individual, each row represents a binary time-dependent variable, and each hole denotes the \"true\" value. Data from electronic health records or nationwide medical-administrative databases can then be represented: demographics, patient flow, drugs, laboratory results, diagnoses, and procedures. This data representation is suitable for survival analysis (e.g., Cox model with repeated outcomes and changing covariates) and different types of temporal association rules. Quantitative continuous variables can be discretized, as in clinical studies. The \"book music\" approach could become an intermediary step in feature extraction from structured data. It would enable to better account for time in analyses, notably for historical cohort analyses based on healthcare data reuse.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kerisit-legrand-calafiore-rochoy-chazard-marcilly-lamer-awarenessandperceptionofgooglereviewsamongfrenchgps-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Awareness and Perception of Google® Reviews Among French GPs.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kerisit, E.; Legrand, B.; Calafiore, M.; Rochoy, M.; Chazard, E.; Marcilly, R.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 290: 1118–1119. June 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI220296\"\n     onclick=\"log_download('kerisit-legrand-calafiore-rochoy-chazard-marcilly-lamer-awarenessandperceptionofgooglereviewsamongfrenchgps-2022', 'http://doi.org/10.3233/SHTI220296', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kerisit-legrand-calafiore-rochoy-chazard-marcilly-lamer-awarenessandperceptionofgooglereviewsamongfrenchgps-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kerisit-legrand-calafiore-rochoy-chazard-marcilly-lamer-awarenessandperceptionofgooglereviewsamongfrenchgps-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{kerisit_awareness_2022,\n\ttitle = {Awareness and {Perception} of {Google}® {Reviews} {Among} {French} {GPs}},\n\tvolume = {290},\n\tissn = {1879-8365},\n\tdoi = {10.3233/SHTI220296},\n\tabstract = {The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25\\% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Kerisit, Erwan and Legrand, Bertrand and Calafiore, Matthieu and Rochoy, Michaël and Chazard, Emmanuel and Marcilly, Romaric and Lamer, Antoine},\n\tmonth = jun,\n\tyear = {2022},\n\tpmid = {35673234},\n\tkeywords = {General Practitioners, Internet, Physician rating websites},\n\tpages = {1118--1119},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire. 83.25% of respondents did not validate the relevance of the physician rating websites. The most decried limitations were the lack of validity of these opinions and the negative impact on physicians.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (7)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021', 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/', event);\">\n    SARS-CoV-2 vaccination efficacy on hospitalisation and variants.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Rozencwajg, S.; Blet, A.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Clavier, T.; Abou-Arab, O.; Sigaut, S.; Bounes, F.; James, A.; Frasca, D.; Boisson, M.; Caillard, A.; Carillion, A.;  and Fischer, M.\n</span>\n\n  \n\n</span>\n\n  <i>Anaesthesia, Critical Care & Pain Medicine</i>, 40(3): 100874. June 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/\"\n     onclick=\"log_download('rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021', 'https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"SARS-CoV-2 vaccination efficacy on hospitalisation and variants [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.accpm.2021.100874\"\n     onclick=\"log_download('rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021', 'http://doi.org/10.1016/j.accpm.2021.100874', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('rozencwajg-blet-lamer-clavier-abouarab-sigaut-bounes-james-etal-sarscov2vaccinationefficacyonhospitalisationandvariants-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{rozencwajg_sars-cov-2_2021,\n\ttitle = {{SARS}-{CoV}-2 vaccination efficacy on hospitalisation and variants},\n\tvolume = {40},\n\tissn = {2352-5568},\n\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8088124/},\n\tdoi = {10.1016/j.accpm.2021.100874},\n\tabstract = {We report data regarding three countries with similar healthcare systems which had three different vaccinal strategies between 1st of January and 10th of April 2021: rapid full vaccination (Israel), rapid first-dose vaccination (United Kingdom) and a delayed vaccination strategy (France).},\n\tnumber = {3},\n\turldate = {2023-11-26},\n\tjournal = {Anaesthesia, Critical Care \\&amp; Pain Medicine},\n\tauthor = {Rozencwajg, Sacha and Blet, Alice and Lamer, Antoine and Clavier, Thomas and Abou-Arab, Osama and Sigaut, Stéphanie and Bounes, Fanny and James, Arthur and Frasca, Denis and Boisson, Matthieu and Caillard, Anaïs and Carillion, Aude and Fischer, Marc-Olivier},\n\tmonth = jun,\n\tyear = {2021},\n\tpmid = {33946037},\n\tpmcid = {PMC8088124},\n\tpages = {100874},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  We report data regarding three countries with similar healthcare systems which had three different vaccinal strategies between 1st of January and 10th of April 2021: rapid full vaccination (Israel), rapid first-dose vaccination (United Kingdom) and a delayed vaccination strategy (France).\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"boudis-clement-bruandet-lamer-automatedgenerationofindividualandpopulationclinicalpathwayswiththeomopcommondatamodel-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Automated Generation of Individual and Population Clinical Pathways with the OMOP Common Data Model.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Boudis, F.; Clement, G.; Bruandet, A.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 281: 218–222. May 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI210152\"\n     onclick=\"log_download('boudis-clement-bruandet-lamer-automatedgenerationofindividualandpopulationclinicalpathwayswiththeomopcommondatamodel-2021', 'http://doi.org/10.3233/SHTI210152', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/boudis-clement-bruandet-lamer-automatedgenerationofindividualandpopulationclinicalpathwayswiththeomopcommondatamodel-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>4 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('boudis-clement-bruandet-lamer-automatedgenerationofindividualandpopulationclinicalpathwayswiththeomopcommondatamodel-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{boudis_automated_2021,\n\ttitle = {Automated {Generation} of {Individual} and {Population} {Clinical} {Pathways} with the {OMOP} {Common} {Data} {Model}},\n\tvolume = {281},\n\tissn = {1879-8365},\n\tdoi = {10.3233/SHTI210152},\n\tabstract = {INTRODUCTION: Clinical pathways represents the sequence of interventions from which the patients benefit during their encounters with health care structures. There are several complex issues which make it difficult to represent these pathways (e.g. high numbers of patients, heterogeneity of variables).\nMETHODS: We developed a tool to automate the representation of clinical pathways, from an individual and population points of view, and based on the OMOP CDM. The tool implemented the Sankey diagram in three stages: (i) data extraction, (ii) generation of individual sequence of steps and (iii) aggregation of sequence to obtain the population-level diagram. We tested the tool with three surgery procedures: the total hip replacement, the coronary bypass and the transcatheter aortic valve implantation.\nRESULTS: The tool provided different ways of visualizing pathways depending on the question asked: a pathway before a surgery, the pathway of deceased patients or the complete pathway with different steps of interest.\nDISCUSSION: We proposed a tool automating the representation of the clinical pathways, and reducing complexity of visualization. Representations are detailed from an individual and population points of view. It has been tested with three surgical procedures. The tool functionalities will be extended to cover a greater number of use cases.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Boudis, Fabio and Clement, Guillaume and Bruandet, Amelie and Lamer, Antoine},\n\tmonth = may,\n\tyear = {2021},\n\tpmid = {34042737},\n\tkeywords = {Data reuse, Data visualization, OMOP, Pathway, Sankey diagram},\n\tpages = {218--222},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  INTRODUCTION: Clinical pathways represents the sequence of interventions from which the patients benefit during their encounters with health care structures. There are several complex issues which make it difficult to represent these pathways (e.g. high numbers of patients, heterogeneity of variables). METHODS: We developed a tool to automate the representation of clinical pathways, from an individual and population points of view, and based on the OMOP CDM. The tool implemented the Sankey diagram in three stages: (i) data extraction, (ii) generation of individual sequence of steps and (iii) aggregation of sequence to obtain the population-level diagram. We tested the tool with three surgery procedures: the total hip replacement, the coronary bypass and the transcatheter aortic valve implantation. RESULTS: The tool provided different ways of visualizing pathways depending on the question asked: a pathway before a surgery, the pathway of deceased patients or the complete pathway with different steps of interest. DISCUSSION: We proposed a tool automating the representation of the clinical pathways, and reducing complexity of visualization. Representations are detailed from an individual and population points of view. It has been tested with three surgical procedures. The tool functionalities will be extended to cover a greater number of use cases.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"paris-lamer-parrot-transformationandevaluationofthemimicdatabaseintheomopcommondatamodeldevelopmentandusabilitystudy-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Paris, N.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>;  and Parrot, A.\n</span>\n\n  \n\n</span>\n\n  <i>JMIR medical informatics</i>, 9(12): e30970. December 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.2196/30970\"\n     onclick=\"log_download('paris-lamer-parrot-transformationandevaluationofthemimicdatabaseintheomopcommondatamodeldevelopmentandusabilitystudy-2021', 'http://doi.org/10.2196/30970', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/paris-lamer-parrot-transformationandevaluationofthemimicdatabaseintheomopcommondatamodeldevelopmentandusabilitystudy-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('paris-lamer-parrot-transformationandevaluationofthemimicdatabaseintheomopcommondatamodeldevelopmentandusabilitystudy-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{paris_transformation_2021,\n\ttitle = {Transformation and {Evaluation} of the {MIMIC} {Database} in the {OMOP} {Common} {Data} {Model}: {Development} and {Usability} {Study}},\n\tvolume = {9},\n\tissn = {2291-9694},\n\tshorttitle = {Transformation and {Evaluation} of the {MIMIC} {Database} in the {OMOP} {Common} {Data} {Model}},\n\tdoi = {10.2196/30970},\n\tabstract = {BACKGROUND: In the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) is the first open access database in the ICU domain. Many studies have shown that common data models (CDMs) improve database searching by allowing code, tools, and experience to be shared. The Observational Medical Outcomes Partnership (OMOP) CDM is spreading all over the world.\nOBJECTIVE: The objective was to transform MIMIC into an OMOP database and to evaluate the benefits of this transformation for analysts.\nMETHODS: We transformed MIMIC (version 1.4.21) into OMOP format (version 5.3.3.1) through semantic and structural mapping. The structural mapping aimed at moving the MIMIC data into the right place in OMOP, with some data transformations. The mapping was divided into 3 phases: conception, implementation, and evaluation. The conceptual mapping aimed at aligning the MIMIC local terminologies to OMOP&#x27;s standard ones. It consisted of 3 phases: integration, alignment, and evaluation. A documented, tested, versioned, exemplified, and open repository was set up to support the transformation and improvement of the MIMIC community&#x27;s source code. The resulting data set was evaluated over a 48-hour datathon.\nRESULTS: With an investment of 2 people for 500 hours, 64\\% of the data items of the 26 MIMIC tables were standardized into the OMOP CDM and 78\\% of the source concepts mapped to reference terminologies. The model proved its ability to support community contributions and was well received during the datathon, with 160 participants and 15,000 requests executed with a maximum duration of 1 minute.\nCONCLUSIONS: The resulting MIMIC-OMOP data set is the first MIMIC-OMOP data set available free of charge with real disidentified data ready for replicable intensive care research. This approach can be generalized to any medical field.},\n\tlanguage = {eng},\n\tnumber = {12},\n\tjournal = {JMIR medical informatics},\n\tauthor = {Paris, Nicolas and Lamer, Antoine and Parrot, Adrien},\n\tmonth = dec,\n\tyear = {2021},\n\tpmid = {34904958},\n\tkeywords = {OMOP, big data, common data model, critical care, data reuse, digital health, electronic health records, health care, health data, health database, health informatics, intensive care, machine learning, open access database, open data},\n\tpages = {e30970},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: In the era of big data, the intensive care unit (ICU) is likely to benefit from real-time computer analysis and modeling based on close patient monitoring and electronic health record data. The Medical Information Mart for Intensive Care (MIMIC) is the first open access database in the ICU domain. Many studies have shown that common data models (CDMs) improve database searching by allowing code, tools, and experience to be shared. The Observational Medical Outcomes Partnership (OMOP) CDM is spreading all over the world. OBJECTIVE: The objective was to transform MIMIC into an OMOP database and to evaluate the benefits of this transformation for analysts. METHODS: We transformed MIMIC (version 1.4.21) into OMOP format (version 5.3.3.1) through semantic and structural mapping. The structural mapping aimed at moving the MIMIC data into the right place in OMOP, with some data transformations. The mapping was divided into 3 phases: conception, implementation, and evaluation. The conceptual mapping aimed at aligning the MIMIC local terminologies to OMOP's standard ones. It consisted of 3 phases: integration, alignment, and evaluation. A documented, tested, versioned, exemplified, and open repository was set up to support the transformation and improvement of the MIMIC community's source code. The resulting data set was evaluated over a 48-hour datathon. RESULTS: With an investment of 2 people for 500 hours, 64% of the data items of the 26 MIMIC tables were standardized into the OMOP CDM and 78% of the source concepts mapped to reference terminologies. The model proved its ability to support community contributions and was well received during the datathon, with 160 participants and 15,000 requests executed with a maximum duration of 1 minute. CONCLUSIONS: The resulting MIMIC-OMOP data set is the first MIMIC-OMOP data set available free of charge with real disidentified data ready for replicable intensive care research. This approach can be generalized to any medical field.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"perrot-hamel-lamer-levaillant-therelationshipbetweentheimmigrantrateandhealthstatusinthegeneralpopulationinfrance-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  The Relationship between the Immigrant Rate and Health Status in the General Population in France.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Perrot, J.; Hamel, J.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>;  and Levaillant, M.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Personalized Medicine</i>, 11(7): 627. June 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3390/jpm11070627\"\n     onclick=\"log_download('perrot-hamel-lamer-levaillant-therelationshipbetweentheimmigrantrateandhealthstatusinthegeneralpopulationinfrance-2021', 'http://doi.org/10.3390/jpm11070627', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/perrot-hamel-lamer-levaillant-therelationshipbetweentheimmigrantrateandhealthstatusinthegeneralpopulationinfrance-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('perrot-hamel-lamer-levaillant-therelationshipbetweentheimmigrantrateandhealthstatusinthegeneralpopulationinfrance-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{perrot_relationship_2021,\n\ttitle = {The {Relationship} between the {Immigrant} {Rate} and {Health} {Status} in the {General} {Population} in {France}},\n\tvolume = {11},\n\tissn = {2075-4426},\n\tdoi = {10.3390/jpm11070627},\n\tabstract = {Mostly studied at the individual level, the analysis of immigrants&#x27; health status at a populational level may provide a different perspective to investigate, including social determinants as part of the explanation of the relationship between them and health status in France. We analyzed freely accessible databases curated by French public bodies. The dependent variables were death rate and mean age at death. Immigrant rate and covariates associated with either of the outcomes were explored in univariate and multivariate models. Linear models were used to explain the mean age at death, whereas tobit models were used to explain the death rate. The immigrant rate varied markedly from one department to another, as did healthcare accessibility, population&#x27;s age profile, and economic covariates. Considering univariate models, almost all the studied covariates were significantly associated with comes. The immigrant rate was associated with a lower death rate and a lower age at death. In multivariate models, the immigrant rate was no longer associated with age at death but was still negatively associated with the death rate. In France, the departments with a higher proportion of immigrants were those with a lower death rate, possibly because immigrants are attracted to economically thriving areas.},\n\tlanguage = {eng},\n\tnumber = {7},\n\tjournal = {Journal of Personalized Medicine},\n\tauthor = {Perrot, Jeanne and Hamel, Jean-François and Lamer, Antoine and Levaillant, Mathieu},\n\tmonth = jun,\n\tyear = {2021},\n\tpmid = {34209284},\n\tpmcid = {PMC8306287},\n\tkeywords = {health determinants, health inequality, immigrant, poverty},\n\tpages = {627},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Mostly studied at the individual level, the analysis of immigrants' health status at a populational level may provide a different perspective to investigate, including social determinants as part of the explanation of the relationship between them and health status in France. We analyzed freely accessible databases curated by French public bodies. The dependent variables were death rate and mean age at death. Immigrant rate and covariates associated with either of the outcomes were explored in univariate and multivariate models. Linear models were used to explain the mean age at death, whereas tobit models were used to explain the death rate. The immigrant rate varied markedly from one department to another, as did healthcare accessibility, population's age profile, and economic covariates. Considering univariate models, almost all the studied covariates were significantly associated with comes. The immigrant rate was associated with a lower death rate and a lower age at death. In multivariate models, the immigrant rate was no longer associated with age at death but was still negatively associated with the death rate. In France, the departments with a higher proportion of immigrants were those with a lower death rate, possibly because immigrants are attracted to economically thriving areas.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"levaillant-wathelet-lamer-riquin-gohier-hamelbroza-impactofcovid19pandemicandlockdownsontheconsumptionofanxiolyticshypnoticsandantidepressantsaccordingtoagegroupsafrenchnationwidestudy-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Impact of COVID-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups: a French nationwide study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Levaillant, M.; Wathelet, M.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Riquin, E.; Gohier, B.;  and Hamel-Broza, J.\n</span>\n\n  \n\n</span>\n\n  <i>Psychological Medicine</i>,1–7. December 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1017/S0033291721004839\"\n     onclick=\"log_download('levaillant-wathelet-lamer-riquin-gohier-hamelbroza-impactofcovid19pandemicandlockdownsontheconsumptionofanxiolyticshypnoticsandantidepressantsaccordingtoagegroupsafrenchnationwidestudy-2021', 'http://doi.org/10.1017/S0033291721004839', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/levaillant-wathelet-lamer-riquin-gohier-hamelbroza-impactofcovid19pandemicandlockdownsontheconsumptionofanxiolyticshypnoticsandantidepressantsaccordingtoagegroupsafrenchnationwidestudy-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('levaillant-wathelet-lamer-riquin-gohier-hamelbroza-impactofcovid19pandemicandlockdownsontheconsumptionofanxiolyticshypnoticsandantidepressantsaccordingtoagegroupsafrenchnationwidestudy-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{levaillant_impact_2021,\n\ttitle = {Impact of {COVID}-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups: a {French} nationwide study},\n\tissn = {1469-8978},\n\tshorttitle = {Impact of {COVID}-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups},\n\tdoi = {10.1017/S0033291721004839},\n\tabstract = {BACKGROUND: Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years.\nMETHODS: A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period.\nRESULTS: Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude.\nCONCLUSIONS: Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.},\n\tlanguage = {eng},\n\tjournal = {Psychological Medicine},\n\tauthor = {Levaillant, M. and Wathelet, M. and Lamer, A. and Riquin, E. and Gohier, B. and Hamel-Broza, J.-F.},\n\tmonth = dec,\n\tyear = {2021},\n\tpmid = {34904556},\n\tpmcid = {PMC8692848},\n\tkeywords = {Adolescent, Anti-Anxiety Agents, Antidepressive Agents, COVID-19, Cohort Studies, Communicable Disease Control, Humans, Hypnotics and Sedatives, Infant, Newborn, Pandemics, Young Adult, mental health, pharmacoepidemiology, psychiatry, psychotropic drugs},\n\tpages = {1--7},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years. METHODS: A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period. RESULTS: Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude. CONCLUSIONS: Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.mdpi.com/2077-0383/10/10/2158\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021', 'https://www.mdpi.com/2077-0383/10/10/2158', event);\">\n    Evaluation of Anti-Activated Factor X Activity and Activated Partial Thromboplastin Time Relations and Their Association with Bleeding and Thrombosis during Veno-Arterial ECMO Support: A Retrospective Study.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Moussa, M. D.; Soquet, J.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Labreuche, J.; Gantois, G.; Dupont, A.; Abou-Arab, O.; Rousse, N.; Liu, V.; Brandt, C.; Foulon, V.; Leroy, G.; Schurtz, G.; Jeanpierre, E.; Duhamel, A.; Susen, S.; Vincentelli, A.;  and Robin, E.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Clinical Medicine</i>, 10(10): 2158. January 2021.\n  <span class=\"note\">Number: 10 Publisher: Multidisciplinary Digital Publishing Institute</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.mdpi.com/2077-0383/10/10/2158\"\n     onclick=\"log_download('moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021', 'https://www.mdpi.com/2077-0383/10/10/2158', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Evaluation of Anti-Activated Factor X Activity and Activated Partial Thromboplastin Time Relations and Their Association with Bleeding and Thrombosis during Veno-Arterial ECMO Support: A Retrospective Study [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3390/jcm10102158\"\n     onclick=\"log_download('moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021', 'http://doi.org/10.3390/jcm10102158', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('moussa-soquet-lamer-labreuche-gantois-dupont-abouarab-rousse-etal-evaluationofantiactivatedfactorxactivityandactivatedpartialthromboplastintimerelationsandtheirassociationwithbleedingandthrombosisduringvenoarterialecmosupportaretrospectivestudy-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{moussa_evaluation_2021,\n\ttitle = {Evaluation of {Anti}-{Activated} {Factor} {X} {Activity} and {Activated} {Partial} {Thromboplastin} {Time} {Relations} and {Their} {Association} with {Bleeding} and {Thrombosis} during {Veno}-{Arterial} {ECMO} {Support}: {A} {Retrospective} {Study}},\n\tvolume = {10},\n\tcopyright = {http://creativecommons.org/licenses/by/3.0/},\n\tshorttitle = {Evaluation of {Anti}-{Activated} {Factor} {X} {Activity} and {Activated} {Partial} {Thromboplastin} {Time} {Relations} and {Their} {Association} with {Bleeding} and {Thrombosis} during {Veno}-{Arterial} {ECMO} {Support}},\n\turl = {https://www.mdpi.com/2077-0383/10/10/2158},\n\tdoi = {10.3390/jcm10102158},\n\tabstract = {Background: We aimed to investigate the relationship between anti-activated Factor X (anti-FXa) and activated Partial Thromboplastin Time (aPTT), and its modulation by other haemostasis co-variables during veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support. We further investigated their association with serious bleeding and thrombotic complications. Methods: This retrospective single-center study included 265 adults supported by VA-ECMO for refractory cardiogenic shock from January 2015 to June 2019. The concordance of anti-FXa and aPTT and their correlations were assessed in 1699 paired samples. Their independent associations with serious bleeding or thrombotic complications were also analysed in multivariate analysis. Results: The concordance rate of aPTT with anti-FXa values was 50.7\\%, with 39.3\\% subtherapeutic aPTT values. However, anti-FXa and aPTT remained associated (β = 0.43 (95\\% CI 0.4–0.45) 10−2 IU/mL, p \\&amp;lt; 0.001), with a significant modulation by several biological co-variables. There was no association between anti-FXa nor aPTT values with serious bleeding or with thrombotic complications. Conclusion: During VA-ECMO, although anti-FXa and aPTT were significantly associated, their values were highly discordant with marked sub-therapeutic aPTT values. These results should favour the use of anti-FXa. The effect of biological co-variables and the failure of anti-FXa and aPTT to predict bleeding and thrombotic complications underline the complexity of VA-ECMO-related coagulopathy.},\n\tlanguage = {en},\n\tnumber = {10},\n\turldate = {2021-05-17},\n\tjournal = {Journal of Clinical Medicine},\n\tauthor = {Moussa, Mouhamed Djahoum and Soquet, Jérôme and Lamer, Antoine and Labreuche, Julien and Gantois, Guillaume and Dupont, Annabelle and Abou-Arab, Osama and Rousse, Natacha and Liu, Vincent and Brandt, Caroline and Foulon, Valentin and Leroy, Guillaume and Schurtz, Guillaume and Jeanpierre, Emmanuel and Duhamel, Alain and Susen, Sophie and Vincentelli, André and Robin, Emmanuel},\n\tmonth = jan,\n\tyear = {2021},\n\tnote = {Number: 10\nPublisher: Multidisciplinary Digital Publishing Institute},\n\tkeywords = {activated partial thromboplastin time, anti-factor Xa, bleeding, extracorporeal membrane oxygenation, intravenous unfractionated heparin monitoring, thrombotic complications},\n\tpages = {2158},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Background: We aimed to investigate the relationship between anti-activated Factor X (anti-FXa) and activated Partial Thromboplastin Time (aPTT), and its modulation by other haemostasis co-variables during veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support. We further investigated their association with serious bleeding and thrombotic complications. Methods: This retrospective single-center study included 265 adults supported by VA-ECMO for refractory cardiogenic shock from January 2015 to June 2019. The concordance of anti-FXa and aPTT and their correlations were assessed in 1699 paired samples. Their independent associations with serious bleeding or thrombotic complications were also analysed in multivariate analysis. Results: The concordance rate of aPTT with anti-FXa values was 50.7%, with 39.3% subtherapeutic aPTT values. However, anti-FXa and aPTT remained associated (β = 0.43 (95% CI 0.4–0.45) 10−2 IU/mL, p &lt; 0.001), with a significant modulation by several biological co-variables. There was no association between anti-FXa nor aPTT values with serious bleeding or with thrombotic complications. Conclusion: During VA-ECMO, although anti-FXa and aPTT were significantly associated, their values were highly discordant with marked sub-therapeutic aPTT values. These results should favour the use of anti-FXa. The effect of biological co-variables and the failure of anti-FXa and aPTT to predict bleeding and thrombotic complications underline the complexity of VA-ECMO-related coagulopathy.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"anonymous-antoinelameromopanesthesiagitlab-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://gitlab.com/antoinelamer/omop_anesthesia\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'anonymous-antoinelameromopanesthesiagitlab-2021', 'https://gitlab.com/antoinelamer/omop_anesthesia', event);\">\n    Antoine Lamer / omop_anesthesia · GitLab.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  \n</span>\n\n  \n\n</span>\n\n  March 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://gitlab.com/antoinelamer/omop_anesthesia\"\n     onclick=\"log_download('anonymous-antoinelameromopanesthesiagitlab-2021', 'https://gitlab.com/antoinelamer/omop_anesthesia', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Antoine Lamer / omop_anesthesia · GitLab [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/anonymous-antoinelameromopanesthesiagitlab-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('anonymous-antoinelameromopanesthesiagitlab-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{noauthor_antoine_2021,\n\ttitle = {Antoine {Lamer} / omop\\_anesthesia · {GitLab}},\n\turl = {https://gitlab.com/antoinelamer/omop_anesthesia},\n\tabstract = {GitLab.com},\n\tlanguage = {fr},\n\turldate = {2023-11-15},\n\tjournal = {GitLab},\n\tmonth = mar,\n\tyear = {2021},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  GitLab.com\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"lamer-laurent-pelayo-elamrani-chazard-marcilly-exploringpatientpaththroughsankeydiagramaproofofconcept-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Exploring Patient Path Through Sankey Diagram: A Proof of Concept.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Laurent, G.; Pelayo, S.; El Amrani, M.; <a class=\"bibbase author link\" href=\"http://www.chazard.org/emmanuel/publications.htm\">Chazard, E.</a>;  and Marcilly, R.\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 270: 218–222. June 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.3233/SHTI200154\"\n     onclick=\"log_download('lamer-laurent-pelayo-elamrani-chazard-marcilly-exploringpatientpaththroughsankeydiagramaproofofconcept-2020', 'http://doi.org/10.3233/SHTI200154', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-laurent-pelayo-elamrani-chazard-marcilly-exploringpatientpaththroughsankeydiagramaproofofconcept-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-laurent-pelayo-elamrani-chazard-marcilly-exploringpatientpaththroughsankeydiagramaproofofconcept-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_exploring_2020,\n\ttitle = {Exploring {Patient} {Path} {Through} {Sankey} {Diagram}: {A} {Proof} of {Concept}},\n\tvolume = {270},\n\tissn = {1879-8365},\n\tshorttitle = {Exploring {Patient} {Path} {Through} {Sankey} {Diagram}},\n\tdoi = {10.3233/SHTI200154},\n\tabstract = {Managers, physicians and researchers need to study patient&#x27;s path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the trajectory of a population that experienced an event. This representation was tested with two case studies in populations from the anesthesia data warehouse of Lille University Hospital. For the 551 patients undergoing a pancreaticoduodenectomy, Sankey diagram helped us identify atypical care paths of patient being transferred too late in an intensive care unit. For 473953 patients who have had anesthesia procedure, Sankey diagram highlighted that mortality and re-operation rates increase with the number of operations. This preliminary work has been well received by end-users and allowed managers, physicians and researchers to visualize the paths of patients and to provide visualization support for research questions. This work will be followed by generalization.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Lamer, Antoine and Laurent, Gery and Pelayo, Sylvia and El Amrani, Mehdi and Chazard, Emmanuel and Marcilly, Romaric},\n\tmonth = jun,\n\tyear = {2020},\n\tpmid = {32570378},\n\tkeywords = {Data Reuse, Data Visualization, Data Warehousing, Humans, Intensive Care Units, Pancreaticoduodenectomy, Patient Care Management, Patient Path, Physicians, Quality of Health Care, Sankey Diagram},\n\tpages = {218--222},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Managers, physicians and researchers need to study patient's path for purposes of management, quality of care and research. We present the proof of concept of the use of a flow diagram, the Sankey diagram, to visualize the trajectory of a population that experienced an event. This representation was tested with two case studies in populations from the anesthesia data warehouse of Lille University Hospital. For the 551 patients undergoing a pancreaticoduodenectomy, Sankey diagram helped us identify atypical care paths of patient being transferred too late in an intensive care unit. For 473953 patients who have had anesthesia procedure, Sankey diagram highlighted that mortality and re-operation rates increase with the number of operations. This preliminary work has been well received by end-users and allowed managers, physicians and researchers to visualize the paths of patients and to provide visualization support for research questions. This work will be followed by generalization.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S2352556820300230\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020', 'https://www.sciencedirect.com/science/article/pii/S2352556820300230', event);\">\n    lntraoperative administration of 6% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: A sequential and propensity-matched analysis.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Degoul, S.; <a class=\"bibbase author link\" href=\"http://www.chazard.org/emmanuel/publications.htm\">Chazard, E.</a>; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Lebuffe, G.; Duhamel, A.;  and Tavernier, B.\n</span>\n\n  \n\n</span>\n\n  <i>Anaesthesia Critical Care & Pain Medicine</i>, 39(2): 199–206. April 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.sciencedirect.com/science/article/pii/S2352556820300230\"\n     onclick=\"log_download('degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020', 'https://www.sciencedirect.com/science/article/pii/S2352556820300230', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"lntraoperative administration of 6% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: A sequential and propensity-matched analysis [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.accpm.2019.08.002\"\n     onclick=\"log_download('degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020', 'http://doi.org/10.1016/j.accpm.2019.08.002', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('degoul-chazard-lamer-lebuffe-duhamel-tavernier-lntraoperativeadministrationof6hydroxyethylstarch13004isnotassociatedwithacutekidneyinjuryinelectivenoncardiacsurgeryasequentialandpropensitymatchedanalysis-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{degoul_lntraoperative_2020,\n\ttitle = {lntraoperative administration of 6\\% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery: {A} sequential and propensity-matched analysis},\n\tvolume = {39},\n\tissn = {2352-5568},\n\tshorttitle = {lntraoperative administration of 6\\% hydroxyethyl starch 130/0.4 is not associated with acute kidney injury in elective non-cardiac surgery},\n\turl = {https://www.sciencedirect.com/science/article/pii/S2352556820300230},\n\tdoi = {10.1016/j.accpm.2019.08.002},\n\tabstract = {Background\nIntraoperative use of hydroxyethyl starch (HES) may increase the risk of postoperative acute kidney injury (AKI). Data from large populations are lacking. We aimed to assess whether intraoperative administration of 6\\% HES 130/0.4 is associated with AKI in non-cardiac surgery.\nMethods\nThis retrospective study used the electronic records concerning elective abdominal, urologic, thoracic and peripheral vascular surgeries from 2010 to 2015. HES and non-HES patients were compared using a propensity score matching. Postoperative AKI, defined by stage 3 of the Kidney Disease Improving Global Outcomes (KDIGO) score, was the primary outcome. Because the use of HES markedly decreased in 2013, additional analyses, restricted to the 2010–2012 period, were also performed.\nResults\nIn total, 23,045, and 11,691 patients were included in the whole, and restricted periods, respectively. The reduction in HES use was not accompanied by any change in the incidence of AKI. Unadjusted association between HES and KDIGO 3 AKI was significant (OR [95\\% CI] of 2.13 [1.67, 2.71]). For the whole period, 6460 patients were matched. Odd ratios for KDIGO 3 and all-stage AKI when using HES (10.3±4.7mL.kg−1) were 1.20 (95\\% CI [0.74, 1.95]), and 1.21 (95\\% CI [0.95, 1.54]), respectively. There was no association with the initiation of renal replacement therapy or in-hospital mortality either. Similar results were found for the restricted period.\nConclusion\nThe intraoperative use of moderate doses of 6\\% HES 130/0.4 was not associated with increased risk of AKI. No conclusion can be drawn for higher doses of HES.},\n\tnumber = {2},\n\turldate = {2023-10-30},\n\tjournal = {Anaesthesia Critical Care \\&amp; Pain Medicine},\n\tauthor = {Degoul, Samuel and Chazard, Emmanuel and Lamer, Antoine and Lebuffe, Gilles and Duhamel, Alain and Tavernier, Benoît},\n\tmonth = apr,\n\tyear = {2020},\n\tkeywords = {Acute kidney injury, Elective surgical procedures, Hydroxyethyl starch derivatives, Patient outcome assessment},\n\tpages = {199--206},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Background Intraoperative use of hydroxyethyl starch (HES) may increase the risk of postoperative acute kidney injury (AKI). Data from large populations are lacking. We aimed to assess whether intraoperative administration of 6% HES 130/0.4 is associated with AKI in non-cardiac surgery. Methods This retrospective study used the electronic records concerning elective abdominal, urologic, thoracic and peripheral vascular surgeries from 2010 to 2015. HES and non-HES patients were compared using a propensity score matching. Postoperative AKI, defined by stage 3 of the Kidney Disease Improving Global Outcomes (KDIGO) score, was the primary outcome. Because the use of HES markedly decreased in 2013, additional analyses, restricted to the 2010–2012 period, were also performed. Results In total, 23,045, and 11,691 patients were included in the whole, and restricted periods, respectively. The reduction in HES use was not accompanied by any change in the incidence of AKI. Unadjusted association between HES and KDIGO 3 AKI was significant (OR [95% CI] of 2.13 [1.67, 2.71]). For the whole period, 6460 patients were matched. Odd ratios for KDIGO 3 and all-stage AKI when using HES (10.3±4.7mL.kg−1) were 1.20 (95% CI [0.74, 1.95]), and 1.21 (95% CI [0.95, 1.54]), respectively. There was no association with the initiation of renal replacement therapy or in-hospital mortality either. Similar results were found for the restricted period. Conclusion The intraoperative use of moderate doses of 6% HES 130/0.4 was not associated with increased risk of AKI. No conclusion can be drawn for higher doses of HES.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lamer-depas-doutreligne-parrot-verloop-defebvre-ficheur-chazard-etal-transformingfrenchelectronichealthrecordsintotheobservationalmedicaloutcomepartnershipscommondatamodelafeasibilitystudy-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Transforming French Electronic Health Records into the Observational Medical Outcome Partnership's Common Data Model: A Feasibility Study.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Depas, N.; Doutreligne, M.; Parrot, A.; Verloop, D.; Defebvre, M.; Ficheur, G.; <a class=\"bibbase author link\" href=\"http://www.chazard.org/emmanuel/publications.htm\">Chazard, E.</a>;  and Beuscart, J.\n</span>\n\n  \n\n</span>\n\n  <i>Applied Clinical Informatics</i>, 11(1): 13–22. January 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1055/s-0039-3402754\"\n     onclick=\"log_download('lamer-depas-doutreligne-parrot-verloop-defebvre-ficheur-chazard-etal-transformingfrenchelectronichealthrecordsintotheobservationalmedicaloutcomepartnershipscommondatamodelafeasibilitystudy-2020', 'http://doi.org/10.1055/s-0039-3402754', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-depas-doutreligne-parrot-verloop-defebvre-ficheur-chazard-etal-transformingfrenchelectronichealthrecordsintotheobservationalmedicaloutcomepartnershipscommondatamodelafeasibilitystudy-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>1 download</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-depas-doutreligne-parrot-verloop-defebvre-ficheur-chazard-etal-transformingfrenchelectronichealthrecordsintotheobservationalmedicaloutcomepartnershipscommondatamodelafeasibilitystudy-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_transforming_2020,\n\ttitle = {Transforming {French} {Electronic} {Health} {Records} into the {Observational} {Medical} {Outcome} {Partnership}&#x27;s {Common} {Data} {Model}: {A} {Feasibility} {Study}},\n\tvolume = {11},\n\tissn = {1869-0327},\n\tshorttitle = {Transforming {French} {Electronic} {Health} {Records} into the {Observational} {Medical} {Outcome} {Partnership}&#x27;s {Common} {Data} {Model}},\n\tdoi = {10.1055/s-0039-3402754},\n\tabstract = {BACKGROUND: Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses.\nOBJECTIVE: This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM.\nMETHODS: The OMOP&#x27;s specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database.\nRESULTS: Seventeen vocabularies corresponding to the French context were added to the OMOP CDM&#x27;s concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM&#x27;s &quot;standardized clinical data&quot; section, and three tables from the &quot;standardized health system data&quot; section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364).\nCONCLUSION: Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.},\n\tlanguage = {eng},\n\tnumber = {1},\n\tjournal = {Applied Clinical Informatics},\n\tauthor = {Lamer, Antoine and Depas, Nicolas and Doutreligne, Matthieu and Parrot, Adrien and Verloop, David and Defebvre, Marguerite-Marie and Ficheur, Grégoire and Chazard, Emmanuel and Beuscart, Jean-Baptiste},\n\tmonth = jan,\n\tyear = {2020},\n\tpmid = {31914471},\n\tpmcid = {PMC6949163},\n\tkeywords = {Clinical Audit, Databases, Factual, Electronic Health Records, Feasibility Studies, France, Hospitals, Humans, Models, Theoretical, Partnership Practice, Patient Admission},\n\tpages = {13--22},\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  BACKGROUND: Common data models (CDMs) enable data to be standardized, and facilitate data exchange, sharing, and storage, particularly when the data have been collected via distinct, heterogeneous systems. Moreover, CDMs provide tools for data quality assessment, integration into models, visualization, and analysis. The observational medical outcome partnership (OMOP) provides a CDM for organizing and standardizing databases. Common data models not only facilitate data integration but also (and especially for the OMOP model) extends the range of available statistical analyses. OBJECTIVE: This study aimed to evaluate the feasibility of implementing French national electronic health records in the OMOP CDM. METHODS: The OMOP's specifications were used to audit the source data, specify the transformation into the OMOP CDM, implement an extract-transform-load process to feed data from the French health care system into the OMOP CDM, and evaluate the final database. RESULTS: Seventeen vocabularies corresponding to the French context were added to the OMOP CDM's concepts. Three French terminologies were automatically mapped to standardized vocabularies. We loaded nine tables from the OMOP CDM's \"standardized clinical data\" section, and three tables from the \"standardized health system data\" section. Outpatient and inpatient data from 38,730 individuals were integrated. The median (interquartile range) number of outpatient and inpatient stays per patient was 160 (19-364). CONCLUSION: Our results demonstrated that data from the French national health care system can be integrated into the OMOP CDM. One of the main challenges was the use of international OMOP concepts to annotate data recorded in a French context. The use of local terminologies was an obstacle to conceptual mapping; with the exception of an adaptation of the International Classification of Diseases 10th Revision, the French health care system does not use international terminologies. It would be interesting to extend our present findings to the 65 million people registered in the French health care system.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2018\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2018')\"\n      onkeypress=\"toggleGroup('group_2018')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2018</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1093/eurheartj/ehy565.P2662\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018', 'https://doi.org/10.1093/eurheartj/ehy565.P2662', event);\">\n    P2662Prognostic value of postoperative high-sensitivity troponin among patients undergoing fenestrated and/or branched endovascular aortic aneurysm repair.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Moussa, M D; Lamer, A; Mass, G; Louvel, P; Lecaitel, S; Hertault, A; Gantois, G; Leroy, G; Ait-Ouarab, S; Brandt, C; Kipnis, E; Sobocinski, J; Tavernier, B; Haulon, S;  and Robin, E\n</span>\n\n  \n\n</span>\n\n  <i>European Heart Journal</i>, 39(suppl_1): ehy565.P2662. August 2018.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1093/eurheartj/ehy565.P2662\"\n     onclick=\"log_download('moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018', 'https://doi.org/10.1093/eurheartj/ehy565.P2662', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"P2662Prognostic value of postoperative high-sensitivity troponin among patients undergoing fenestrated and/or branched endovascular aortic aneurysm repair [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1093/eurheartj/ehy565.P2662\"\n     onclick=\"log_download('moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018', 'http://doi.org/10.1093/eurheartj/ehy565.P2662', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('moussa-lamer-mass-louvel-lecaitel-hertault-gantois-leroy-etal-p2662prognosticvalueofpostoperativehighsensitivitytroponinamongpatientsundergoingfenestratedandorbranchedendovascularaorticaneurysmrepair-2018')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{moussa_p2662prognostic_2018,\n\ttitle = {{P2662Prognostic} value of postoperative high-sensitivity troponin among patients undergoing fenestrated and/or branched endovascular aortic aneurysm repair},\n\tvolume = {39},\n\tissn = {0195-668X},\n\turl = {https://doi.org/10.1093/eurheartj/ehy565.P2662},\n\tdoi = {10.1093/eurheartj/ehy565.P2662},\n\tabstract = {Introduction: Patients undergoing fenestrated/branched endovascular aortic repairs (F/B-EVAR) are particularly at risk of myocardial injury after non-cardiac surgery (MINS). The recently introduced high-sensitivity troponin (HsTnT) may allow better diagnosis of MINS as compared to former troponin assays. However HsTnT prognostic value has not been evaluated in F/B-EVAR patients.Purpose: Our objectives were to assess the prognostic value of postoperative HsTnT in patients undergoing F/B-EVAR and to identify the optimal threshold of HsTnT that defines MINS in this population.},\n\tnumber = {suppl\\_1},\n\turldate = {2023-11-13},\n\tjournal = {European Heart Journal},\n\tauthor = {Moussa, M D and Lamer, A and Mass, G and Louvel, P and Lecaitel, S and Hertault, A and Gantois, G and Leroy, G and Ait-Ouarab, S and Brandt, C and Kipnis, E and Sobocinski, J and Tavernier, B and Haulon, S and Robin, E},\n\tmonth = aug,\n\tyear = {2018},\n\tpages = {ehy565.P2662},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Introduction: Patients undergoing fenestrated/branched endovascular aortic repairs (F/B-EVAR) are particularly at risk of myocardial injury after non-cardiac surgery (MINS). The recently introduced high-sensitivity troponin (HsTnT) may allow better diagnosis of MINS as compared to former troponin assays. However HsTnT prognostic value has not been evaluated in F/B-EVAR patients.Purpose: Our objectives were to assess the prognostic value of postoperative HsTnT in patients undergoing F/B-EVAR and to identify the optimal threshold of HsTnT that defines MINS in this population.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2016\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2016')\"\n      onkeypress=\"toggleGroup('group_2016')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2016</span>\n      <span class=\"bibbase_group_count\">\n        \n        (3)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"marcilly-lamer-evidencebasedusabilitydatabaseformedicationalertingsystems-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://hal.science/hal-04146995\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'marcilly-lamer-evidencebasedusabilitydatabaseformedicationalertingsystems-2016', 'https://hal.science/hal-04146995', event);\">\n    Evidence-Based Usability Database for Medication Alerting Systems.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Marcilly, R.;  and <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>\n</span>\n\n  \n\n</span>\n\n   2016.\n  <span class=\"note\">Publisher: EFMI Published: Medical Informatics in Europe</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://hal.science/hal-04146995\"\n     onclick=\"log_download('marcilly-lamer-evidencebasedusabilitydatabaseformedicationalertingsystems-2016', 'https://hal.science/hal-04146995', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Evidence-Based Usability Database for Medication Alerting Systems. [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/marcilly-lamer-evidencebasedusabilitydatabaseformedicationalertingsystems-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('marcilly-lamer-evidencebasedusabilitydatabaseformedicationalertingsystems-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{marcilly_evidence-based_2016,\n\ttitle = {Evidence-{Based} {Usability} {Database} for {Medication} {Alerting} {Systems}.},\n\turl = {https://hal.science/hal-04146995},\n\turldate = {2023-11-24},\n\tauthor = {Marcilly, Romaric and Lamer, Antoine},\n\tyear = {2016},\n\tnote = {Publisher: EFMI\nPublished: Medical Informatics in Europe},\n}\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lamer-jeanne-ficheur-marcilly-automateddataaggregationfortimeseriesanalysisstudycaseonanaesthesiadatawarehouse-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Automated Data Aggregation for Time-Series Analysis: Study Case on Anaesthesia Data Warehouse.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Jeanne, M.; Ficheur, G.;  and Marcilly, R.\n</span>\n\n  \n\n</span>\n\n  <i>Studies in Health Technology and Informatics</i>, 221: 102–106.  2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-jeanne-ficheur-marcilly-automateddataaggregationfortimeseriesanalysisstudycaseonanaesthesiadatawarehouse-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-jeanne-ficheur-marcilly-automateddataaggregationfortimeseriesanalysisstudycaseonanaesthesiadatawarehouse-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_automated_2016,\n\ttitle = {Automated {Data} {Aggregation} for {Time}-{Series} {Analysis}: {Study} {Case} on {Anaesthesia} {Data} {Warehouse}},\n\tvolume = {221},\n\tissn = {0926-9630},\n\tshorttitle = {Automated {Data} {Aggregation} for {Time}-{Series} {Analysis}},\n\tabstract = {Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Lamer, Antoine and Jeanne, Mathieu and Ficheur, Grégoire and Marcilly, Romaric},\n\tyear = {2016},\n\tpmid = {27071886},\n\tpages = {102--106},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Data stored in operational databases are not reusable directly. Aggregation modules are necessary to facilitate secondary use. They decrease volume of data while increasing the number of available information. In this paper, we present four automated engines of aggregation, integrated into an anaesthesia data warehouse. Four instances of clinical questions illustrate the use of those engines for various improvements of quality of care: duration of procedure, drug administration, assessment of hypotension and its related treatment.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lamer-jeanne-marcilly-kipnis-schiro-logier-tavernier-methodologytoautomaticallydetectabnormalvaluesofvitalparametersinanesthesiatimeseriesproposalforanadaptablealgorithm-2016\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series: Proposal for an adaptable algorithm.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Jeanne, M.; Marcilly, R.; Kipnis, E.; Schiro, J.; Logier, R.;  and Tavernier, B.\n</span>\n\n  \n\n</span>\n\n  <i>Computer Methods and Programs in Biomedicine</i>, 129: 160–171. June 2016.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.cmpb.2016.01.004\"\n     onclick=\"log_download('lamer-jeanne-marcilly-kipnis-schiro-logier-tavernier-methodologytoautomaticallydetectabnormalvaluesofvitalparametersinanesthesiatimeseriesproposalforanadaptablealgorithm-2016', 'http://doi.org/10.1016/j.cmpb.2016.01.004', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lamer-jeanne-marcilly-kipnis-schiro-logier-tavernier-methodologytoautomaticallydetectabnormalvaluesofvitalparametersinanesthesiatimeseriesproposalforanadaptablealgorithm-2016\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lamer-jeanne-marcilly-kipnis-schiro-logier-tavernier-methodologytoautomaticallydetectabnormalvaluesofvitalparametersinanesthesiatimeseriesproposalforanadaptablealgorithm-2016')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lamer_methodology_2016,\n\ttitle = {Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series: {Proposal} for an adaptable algorithm},\n\tvolume = {129},\n\tissn = {1872-7565},\n\tshorttitle = {Methodology to automatically detect abnormal values of vital parameters in anesthesia time-series},\n\tdoi = {10.1016/j.cmpb.2016.01.004},\n\tabstract = {Abnormal values of vital parameters such as hypotension or tachycardia may occur during anesthesia and may be detected by analyzing time-series data collected during the procedure by the Anesthesia Information Management System. When crossed with other data from the Hospital Information System, abnormal values of vital parameters have been linked with postoperative morbidity and mortality. However, methods for the automatic detection of these events are poorly documented in the literature and differ between studies, making it difficult to reproduce results. In this paper, we propose a methodology for the automatic detection of abnormal values of vital parameters. This methodology uses an algorithm allowing the configuration of threshold values for any vital parameters as well as the management of missing data. Four examples illustrate the application of the algorithm, after which it is applied to three vital signs (heart rate, SpO2, and mean arterial pressure) to all 2014 anesthetic records at our institution.},\n\tlanguage = {eng},\n\tjournal = {Computer Methods and Programs in Biomedicine},\n\tauthor = {Lamer, Antoine and Jeanne, Mathieu and Marcilly, Romaric and Kipnis, Eric and Schiro, Jessica and Logier, Régis and Tavernier, Benoît},\n\tmonth = jun,\n\tyear = {2016},\n\tpmid = {26817405},\n\tkeywords = {Algorithm, Anesthesia, Medical Informatics, Medical informatics, Time-series data analysis},\n\tpages = {160--171},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Abnormal values of vital parameters such as hypotension or tachycardia may occur during anesthesia and may be detected by analyzing time-series data collected during the procedure by the Anesthesia Information Management System. When crossed with other data from the Hospital Information System, abnormal values of vital parameters have been linked with postoperative morbidity and mortality. However, methods for the automatic detection of these events are poorly documented in the literature and differ between studies, making it difficult to reproduce results. In this paper, we propose a methodology for the automatic detection of abnormal values of vital parameters. This methodology uses an algorithm allowing the configuration of threshold values for any vital parameters as well as the management of missing data. Four examples illustrate the application of the algorithm, after which it is applied to three vital signs (heart rate, SpO2, and mean arterial pressure) to all 2014 anesthetic records at our institution.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase', 'https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884', event);\">\n    Association Between Sarcopenia and Fracture Risk in a Population From the UK Biobank Database.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Jauffret, C.; Périchon, R.; <a class=\"bibbase author link\" href=\"https://pro.univ-lille.fr/antoine-lamer/publications\">Lamer, A.</a>; Cortet, B.; Chazard, E.;  and Paccou, J.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Bone and Mineral Research</i>, n/a(n/a).  .\n  <span class=\"note\">_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbmr.4884</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884\"\n     onclick=\"log_download('jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase', 'https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Association Between Sarcopenia and Fracture Risk in a Population From the UK Biobank Database [link]\"\n       title=\"Paper\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1002/jbmr.4884\"\n     onclick=\"log_download('jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase', 'http://doi.org/10.1002/jbmr.4884', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('jauffret-prichon-lamer-cortet-chazard-paccou-associationbetweensarcopeniaandfractureriskinapopulationfromtheukbiobankdatabase')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{jauffret_association_nodate,\n\ttitle = {Association {Between} {Sarcopenia} and {Fracture} {Risk} in a {Population} {From} the {UK} {Biobank} {Database}},\n\tvolume = {n/a},\n\tcopyright = {© 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},\n\tissn = {1523-4681},\n\turl = {https://onlinelibrary.wiley.com/doi/abs/10.1002/jbmr.4884},\n\tdoi = {10.1002/jbmr.4884},\n\tabstract = {Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as “fracture” (location compatible with an osteoporotic origin) and “major osteoporotic fracture” (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa) and their 95\\% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4\\%; median age 58.0 years; interquartile range [IQR] 51.0–63.0 years) were included. At baseline, there were 18,257 (4.7\\%) presarcopenic participants—subgroup 1 (low HGS only), 7940 (2.1\\%) presarcopenic participants—subgroup 2 (low SMI only), and 1124 (0.3\\%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4–12.6 years), 18,300 (4.7\\%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19–1.33], HR = 1.20 [1.11–1.30], HR = 1.30 [1.08–1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21–1.40], HR = 1.19 [1.08–1.72], HR = 1.18 [0.93–1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).},\n\tlanguage = {en},\n\tnumber = {n/a},\n\turldate = {2023-10-07},\n\tjournal = {Journal of Bone and Mineral Research},\n\tauthor = {Jauffret, Charlotte and Périchon, Renaud and Lamer, Antoine and Cortet, Bernard and Chazard, Emmanuel and Paccou, Julien},\n\tnote = {\\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbmr.4884},\n\tkeywords = {FRACTURES, MUSCLE MASS, MUSCLE STRENGTH, SARCOPENIA, UK BIOBANK},\n}\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Studies on the fracture risk in presarcopenic and sarcopenic patients report contradictory results. The objective was to assess whether presarcopenia and sarcopenia are associated with an increase in fracture risk. We conducted a retrospective study using the UK Biobank cohort and the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Muscle strength was evaluated using hand-grip strength (HGS) and muscle mass using the skeletal muscle index (SMI; from bioimpedance analysis). Presarcopenia was defined through the two definitions available in the literature, as low HGS with normal SMI and as normal HGS with low SMI, and sarcopenia as low HGS and low SMI. Fracture events were recorded as “fracture” (location compatible with an osteoporotic origin) and “major osteoporotic fracture” (MOF), as listed in the FRAX tool. Associations were assessed using Cox proportional hazards models, adjusted for sarcopenia and osteoporosis risk factors. Adjusted hazard ratios (HRa) and their 95% confidence intervals (CI) were reported. A total of 387,025 participants (women 54.4%; median age 58.0 years; interquartile range [IQR] 51.0–63.0 years) were included. At baseline, there were 18,257 (4.7%) presarcopenic participants—subgroup 1 (low HGS only), 7940 (2.1%) presarcopenic participants—subgroup 2 (low SMI only), and 1124 (0.3%) sarcopenic participants. Over a median follow-up of 12.0 years (IQR 11.4–12.6 years), 18,300 (4.7%) participants were diagnosed with at least one incident fracture. Presarcopenic (subgroups 1 and 2) and sarcopenic status were significantly associated with a higher risk of fracture (respectively adjusted HRs: HR = 1.26 [1.19–1.33], HR = 1.20 [1.11–1.30], HR = 1.30 [1.08–1.56]) and with a higher risk of MOF (respectively adjusted HRs: HR = 1.30 [1.21–1.40], HR = 1.19 [1.08–1.72], HR = 1.18 [0.93–1.49]). In a middle-aged population, the fracture and MOF risks were higher in both presarcopenic and sarcopenic participants compared with nonsarcopenic participants. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);