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\n \n 2024\n \n \n (2)\n \n \n

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\n \n\n \n \n \n \n \n \n Pesticides et adénocarcinome du pancréas : une étude épidémiologique écologique spatio-temporelle nationale entre 2011 et 2021 (ecoPESTIPAC).\n \n \n \n \n\n\n \n Brugel, M.; Gauthier, V.; Occelli, F.; Genin, M.; and Blangiardo, M.\n\n\n \n\n\n\n Journal of Epidemiology and Population Health, 72: 202205. March 2024.\n \n\n\n\n
\n\n\n\n \n \n $\"Pesticides$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{brugel_pesticides_2024,\n\tseries = {Congrès É{MOIS} 2024},\n\ttitle = {Pesticides et adénocarcinome du pancréas : une étude épidémiologique écologique spatio-temporelle nationale entre 2011 et 2021 ({ecoPESTIPAC})},\n\tvolume = {72},\n\tissn = {2950-4333},\n\tshorttitle = {Pesticides et adénocarcinome du pancréas},\n\turl = {https://www.sciencedirect.com/science/article/pii/S2950433324000156},\n\tdoi = {10.1016/j.jeph.2024.202205},\n\tabstract = {Introduction\nL'adénocarcinome du pancréas (AP) est un cancer agressif dont l'incidence ne cesse d'augmenter en France. La cause de cette augmentation est mal comprise. L'exposition aux pesticides est une piste sous étudiée. Les objectifs étaient de : 1) cartographier le risque d'AP et 2) d’étudier l'association entre AP et exposition aux pesticides entre 2011 et 2021, en France à une fine échelle spatiale.\nMéthodes\nCette étude épidémiologique écologique spatio-temporelle a couvert l'intégralité de la France métropolitaine, divisé en 5529 unités spatiales, entre 2011 et 2021. Le nombre de cas d'AP par an a été extrait du SNDS (PMSI), spatialisé via le code géographique PMSI et rendues inter-opérables avec les bases de population (Insee) et d'exposition aux pesticides. L'exposition aux pesticides a été estimée par la médiane du ratio entre l'achat de pesticide et la surface agricole par unité spatiale, sur la période d’étude. Neuf substances chimiques (dont le glyphosate) ont été incluses dans l’étude couvrant la moitié des achats nationaux sur la période, ainsi que la quantité cumulée de pesticides (toutes molécules confondues). Cette étude a utilisé un modèle de Poisson hiérarchique spatio-temporel Bayésien ajusté sur les maladies liées au tabac, l'accès aux soins et la pauvreté.\nRésultats\nUn total de 134 102 cas d'AP a été identifié, réparti en 5529 unités spatiales entre 2011 et 2021, concordantes avec les estimations de Santé publique France. Les zones de forte incidence d'AP étaient situées autour de Paris, dans le centre de la France et sur la côte méditerranéenne. L'exposition aux pesticides était associée à un risque augmenté d'AP sur la période de l’étude. La quantité cumulée de pesticide (RR : 1,0140; CI95\\% [1,0067; 1,0214]), le soufre en pulvérisation (RR : 1,0132; CI95\\% [1,0047; 1,0218], le mancozèbe (RR : 1,0107; CI95\\% [1,0026; 1,0164]), et le glyphosate (RR : 1,0095; CI95\\% [1,0026; 1,0164]) étaient associés à une augmentation du risque d'AP pour une hausse d'utilisation de 2,5kg de pesticides/hectare sur 11 ans, soit une augmentation du risque variant entre 0,9 et 1,4 \\%.\nConclusion\nCette étude est la première à cartographier le risque d'AP couvrant une nation, et à une échelle spatiale fine. Plusieurs substances étaient associées a un risque augmenté d'AP. Des travaux supplémentaires sont nécessaires pour étayer ces résultats.},\n\turldate = {2024-03-27},\n\tjournal = {Journal of Epidemiology and Population Health},\n\tauthor = {Brugel, M. and Gauthier, V. and Occelli, F. and Genin, M. and Blangiardo, M.},\n\tmonth = mar,\n\tyear = {2024},\n\tkeywords = {Analyse spatio-temporelle, Cancer du pancréas, Exposition environnementale, Pesticides, Étude écologique},\n\tpages = {202205},\n}\n\n

\n

\n\n\n

\n Introduction L'adénocarcinome du pancréas (AP) est un cancer agressif dont l'incidence ne cesse d'augmenter en France. La cause de cette augmentation est mal comprise. L'exposition aux pesticides est une piste sous étudiée. Les objectifs étaient de : 1) cartographier le risque d'AP et 2) d’étudier l'association entre AP et exposition aux pesticides entre 2011 et 2021, en France à une fine échelle spatiale. Méthodes Cette étude épidémiologique écologique spatio-temporelle a couvert l'intégralité de la France métropolitaine, divisé en 5529 unités spatiales, entre 2011 et 2021. Le nombre de cas d'AP par an a été extrait du SNDS (PMSI), spatialisé via le code géographique PMSI et rendues inter-opérables avec les bases de population (Insee) et d'exposition aux pesticides. L'exposition aux pesticides a été estimée par la médiane du ratio entre l'achat de pesticide et la surface agricole par unité spatiale, sur la période d’étude. Neuf substances chimiques (dont le glyphosate) ont été incluses dans l’étude couvrant la moitié des achats nationaux sur la période, ainsi que la quantité cumulée de pesticides (toutes molécules confondues). Cette étude a utilisé un modèle de Poisson hiérarchique spatio-temporel Bayésien ajusté sur les maladies liées au tabac, l'accès aux soins et la pauvreté. Résultats Un total de 134 102 cas d'AP a été identifié, réparti en 5529 unités spatiales entre 2011 et 2021, concordantes avec les estimations de Santé publique France. Les zones de forte incidence d'AP étaient situées autour de Paris, dans le centre de la France et sur la côte méditerranéenne. L'exposition aux pesticides était associée à un risque augmenté d'AP sur la période de l’étude. La quantité cumulée de pesticide (RR : 1,0140; CI95% [1,0067; 1,0214]), le soufre en pulvérisation (RR : 1,0132; CI95% [1,0047; 1,0218], le mancozèbe (RR : 1,0107; CI95% [1,0026; 1,0164]), et le glyphosate (RR : 1,0095; CI95% [1,0026; 1,0164]) étaient associés à une augmentation du risque d'AP pour une hausse d'utilisation de 2,5kg de pesticides/hectare sur 11 ans, soit une augmentation du risque variant entre 0,9 et 1,4 %. Conclusion Cette étude est la première à cartographier le risque d'AP couvrant une nation, et à une échelle spatiale fine. Plusieurs substances étaient associées a un risque augmenté d'AP. Des travaux supplémentaires sont nécessaires pour étayer ces résultats.\n

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\n \n\n \n \n \n \n \n \n Detectability of use errors in summative usability tests of medical devices: Impact of the test environment.\n \n \n \n \n\n\n \n Marcilly, R.; Schiro, J.; Genin, M.; Somers, S.; Migaud, M.; Mabile, F.; Pelayo, S.; Del Zotto, M.; and Rochat, J.\n\n\n \n\n\n\n Applied Ergonomics, 118: 104266. July 2024.\n \n\n\n\n
\n\n\n\n \n \n $\"Detectability$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{marcilly_detectability_2024,\n\ttitle = {Detectability of use errors in summative usability tests of medical devices: {Impact} of the test environment},\n\tvolume = {118},\n\tissn = {0003-6870},\n\tshorttitle = {Detectability of use errors in summative usability tests of medical devices},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0003687024000437},\n\tdoi = {10.1016/j.apergo.2024.104266},\n\tabstract = {The regulations on summative usability evaluations of medical devices (MDs) emphasize that the test environment must have sufficient ecological validity for generalization to real-life use. Here, we examined the influence of environmental fidelity (a component of ecological validity) on the detectability of MD use errors. A total of 140 participants participated in a summative usability evaluation of an anaphylactic shock auto-injector device under either a high-fidelity condition or a condition acceptable from the manufacturer's perspective, lower-fidelity condition. The numbers of errors detected in each condition were compared by applying descriptive statistics and logistic and Poisson multivariate regressions. We found that the level of fidelity did not influence the overall number of use errors detected but did influence the detection of certain use errors. To optimize the test environment and increase the detection of use errors, each environmental feature's role in the test task should first be examined.},\n\turldate = {2024-03-12},\n\tjournal = {Applied Ergonomics},\n\tauthor = {Marcilly, Romaric and Schiro, Jessica and Genin, Michael and Somers, Stéphanie and Migaud, Maria-Claire and Mabile, Frederic and Pelayo, Sylvia and Del Zotto, Marzia and Rochat, Jessica},\n\tmonth = jul,\n\tyear = {2024},\n\tkeywords = {Ecological validity, Medical device, Usability test},\n\tpages = {104266},\n}\n\n

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\n \n 2023\n \n \n (12)\n \n \n

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\n \n\n \n \n \n \n \n \n HDSpatialScan: Multivariate and Functional Spatial Scan Statistics.\n \n \n \n \n\n\n \n FREVENT, C.; AHMED, M.; SOULA, J.; SMIDA, Z.; CUCALA, L.; DABO-NIANG, S.; and GENIN, M.\n\n\n \n\n\n\n May 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"HDSpatialScan:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@misc{frevent_hdspatialscan_2023,\n\ttitle = {{HDSpatialScan}: {Multivariate} and {Functional} {Spatial} {Scan} {Statistics}},\n\tcopyright = {GPL-3},\n\tshorttitle = {{HDSpatialScan}},\n\turl = {https://cran.r-project.org/web/packages/HDSpatialScan/index.html},\n\tabstract = {Allows to detect spatial clusters of abnormal values on multivariate or functional data. Martin KULLDORFF and Lan HUANG and Kevin KONTY (2009) {\\textless}doi:10.1186/1476-072X-8-58{\\textgreater}, Inkyung JUNG and Ho Jin CHO (2015) {\\textless}doi:10.1186/s12942-015-0024-6{\\textgreater}, Lionel CUCALA and Michael GENIN and Caroline LANIER and Florent OCCELLI (2017) {\\textless}doi:10.1016/j.spasta.2017.06.001{\\textgreater}, Lionel CUCALA and Michael GENIN and Florent OCCELLI and Julien SOULA (2019) {\\textless}doi:10.1016/j.spasta.2018.10.002{\\textgreater}, Camille FREVENT and Mohamed-Salem AHMED and Matthieu MARBAC and Michael GENIN (2021) {\\textless}doi:10.1016/j.spasta.2021.100550{\\textgreater}, Zaineb SMIDA and Lionel CUCALA and Ali GANNOUN and Ghislain Durif (2022) {\\textless}doi:10.1016/j.csda.2021.107378{\\textgreater}, Camille FREVENT and Mohamed-Salem AHMED and Sophie DABO-NIANG and Michael GENIN (2023) {\\textless}doi:10.1093/jrsssc/qlad017{\\textgreater}.},\n\turldate = {2024-04-02},\n\tauthor = {FREVENT, Camille and AHMED, Mohamed-Salem and SOULA, Julien and SMIDA, Zaineb and CUCALA, Lionel and DABO-NIANG, Sophie and GENIN, Michaël},\n\tmonth = may,\n\tyear = {2023},\n}\n\n

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\n \n\n \n \n \n \n \n \n Multiple air pollutant exposure and risk of all-cause mortality in dialysis patients: a french registry-based nationwide study.\n \n \n \n \n\n\n \n Hamroun, A.; Génin, M.; Glowacki, F.; De Courrèges, A.; Dauchet, L.; Gauthier, V.; Amouyel, P.; Couchoud, C.; Lassalle, M.; and Occelli, F.\n\n\n \n\n\n\n Nephrology Dialysis Transplantation, 38(Supplement_1): gfad063b_4724. June 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"Multiple$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{hamroun_multiple_2023,\n\ttitle = {Multiple air pollutant exposure and risk of all-cause mortality in dialysis patients: a french registry-based nationwide study},\n\tvolume = {38},\n\tissn = {0931-0509},\n\tshorttitle = {\\#4724 {MULTIPLE} {AIR} {POLLUTANT} {EXPOSURE} {AND} {RISK} {OF} {ALL}-{CAUSE} {MORTALITY} {IN} {DIALYSIS} {PATIENTS}},\n\turl = {https://doi.org/10.1093/ndt/gfad063b_4724},\n\tdoi = {10.1093/ndt/gfad063b_4724},\n\tabstract = {According to the Global Burden of Disease, mortality attributed to chronic kidney disease (CKD) is steadily increasing worldwide, with an estimated increase of more than 30\\% since 2005. Among the candidates mentioned to explain this inflation, air pollution is attracting more and more attention. Although the link between air pollution and the incidence of CKD and kidney failure seems increasingly clear, there is currently very little data regarding the potential effect of exposure to air pollutants on mortality in dialysis patients. Beyond the lack of data in the literature, their interpretation is hampered by the conventional analysis of air pollutants on an individual basis, whereas ambient pollution actually corresponds to a complex combination of multiple pollutant exposure. Composite spatial indices that account for multi-exposition have recently been developed and are now recognized as relevant indicators for global air exposure assessment. The main objectives of this project are to study the association of the level of multi-exposure to air pollutants with all-cause and cause-specific mortality in dialysis patients.We included all incident dialysis patients in France between January 1, 2012 and December 31, 2020, identified in the REIN registry. Annual mean levels of exposure to fine particulate matter (PM10, PM2.5) and nitrogen dioxide (NO2) were extracted over the entire study period based on the data from the French ‘Institut National de l’Environnement Industriel et des Risques (INERIS)’. A composite environmental score was created from the first component of a standardized, annualized principal component analysis of exposure levels to the three pollutants and estimated at the municipal level of each patient residency. This score was used as a continuous and categorical indicator (highest levels corresponding to the most exposed areas). The association between this score and all-cause mortality in dialysis patients was analyzed by multivariate Cox models considering comorbidities, modalities of dialysis start, socio-environmental factors (population density, social deprivation and distance to the nearest dialysis center), and the center effect. These analyses were declined according to the cause of death (all-cause, cardiovascular, infectious or cancer) and to different pre-dialysis exposure lags (1, 2 or 3 years). Interaction studies and subgroup analyses were performed according to age, gender and level of autonomy.A total of 90,373 patients were included in this study (64\\% men, median age 72 years) for a median follow-up of 46 months. Over the study period, 44,242 deaths were observed (20\\% of cardiovascular origin). The mean annual levels of each air pollutant exposure were 11.5 (± 2.5), 18.0 (± 2.5) and 16.8 (± 7.0) μg/m3 respectively for PM2.5, PM10 and NO2. For each point increment in the environmental score, we observed a linear 1.6\\% increase in the risk of all-cause mortality (HR = 1.016 [1.007-1.025] p \\&lt; 0.001). Compared with the lowest exposure areas (Q1), patients residing in quartile 3 and 4 municipalities had an increased risk of all-cause death (HRQ2 = 1.00 [0.96-1.04] p = 0.99, HRQ3 = 1.06 [1.02-1.10] p = 0.005, and HRQ4 = 1.09 [1.05-1.13] p \\&lt; 0.001 for quartiles 2, 3, and 4 of the environmental score respectively – see Figure). A significant interaction was observed with the level of autonomy of the patients, the risk of death associated with environmental exposure being higher in partially or totally dependent patients compared to fully autonomous ones (p for interaction = 0.006). These results were similar for deaths from cardiovascular or infectious causes and consistent regardless of exposure lag and each air pollutant taken individually.Figure 1:Association between air pollutant exposure and risk of mortality in incident dialysis patients.In total, this is to our knowledge the first study describing an association between environmental multi-exposure and the risk of all-cause or cause-specific death in dialysis patients on a national scale. These results argue for intensified efforts to limit air pollution, particularly for the highly vulnerable dialysis patient population.},\n\tnumber = {Supplement\\_1},\n\turldate = {2023-06-30},\n\tjournal = {Nephrology Dialysis Transplantation},\n\tauthor = {Hamroun, Aghiles and Génin, Michaël and Glowacki, Francois and De Courrèges, Antoine and Dauchet, Luc and Gauthier, Victoria and Amouyel, Philippe and Couchoud, Cécile and Lassalle, Mathilde and Occelli, Florent},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {gfad063b\\_4724},\n}\n\n

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\n\n\n

\n According to the Global Burden of Disease, mortality attributed to chronic kidney disease (CKD) is steadily increasing worldwide, with an estimated increase of more than 30% since 2005. Among the candidates mentioned to explain this inflation, air pollution is attracting more and more attention. Although the link between air pollution and the incidence of CKD and kidney failure seems increasingly clear, there is currently very little data regarding the potential effect of exposure to air pollutants on mortality in dialysis patients. Beyond the lack of data in the literature, their interpretation is hampered by the conventional analysis of air pollutants on an individual basis, whereas ambient pollution actually corresponds to a complex combination of multiple pollutant exposure. Composite spatial indices that account for multi-exposition have recently been developed and are now recognized as relevant indicators for global air exposure assessment. The main objectives of this project are to study the association of the level of multi-exposure to air pollutants with all-cause and cause-specific mortality in dialysis patients.We included all incident dialysis patients in France between January 1, 2012 and December 31, 2020, identified in the REIN registry. Annual mean levels of exposure to fine particulate matter (PM10, PM2.5) and nitrogen dioxide (NO2) were extracted over the entire study period based on the data from the French ‘Institut National de l’Environnement Industriel et des Risques (INERIS)’. A composite environmental score was created from the first component of a standardized, annualized principal component analysis of exposure levels to the three pollutants and estimated at the municipal level of each patient residency. This score was used as a continuous and categorical indicator (highest levels corresponding to the most exposed areas). The association between this score and all-cause mortality in dialysis patients was analyzed by multivariate Cox models considering comorbidities, modalities of dialysis start, socio-environmental factors (population density, social deprivation and distance to the nearest dialysis center), and the center effect. These analyses were declined according to the cause of death (all-cause, cardiovascular, infectious or cancer) and to different pre-dialysis exposure lags (1, 2 or 3 years). Interaction studies and subgroup analyses were performed according to age, gender and level of autonomy.A total of 90,373 patients were included in this study (64% men, median age 72 years) for a median follow-up of 46 months. Over the study period, 44,242 deaths were observed (20% of cardiovascular origin). The mean annual levels of each air pollutant exposure were 11.5 (± 2.5), 18.0 (± 2.5) and 16.8 (± 7.0) μg/m3 respectively for PM2.5, PM10 and NO2. For each point increment in the environmental score, we observed a linear 1.6% increase in the risk of all-cause mortality (HR = 1.016 [1.007-1.025] p < 0.001). Compared with the lowest exposure areas (Q1), patients residing in quartile 3 and 4 municipalities had an increased risk of all-cause death (HRQ2 = 1.00 [0.96-1.04] p = 0.99, HRQ3 = 1.06 [1.02-1.10] p = 0.005, and HRQ4 = 1.09 [1.05-1.13] p < 0.001 for quartiles 2, 3, and 4 of the environmental score respectively – see Figure). A significant interaction was observed with the level of autonomy of the patients, the risk of death associated with environmental exposure being higher in partially or totally dependent patients compared to fully autonomous ones (p for interaction = 0.006). These results were similar for deaths from cardiovascular or infectious causes and consistent regardless of exposure lag and each air pollutant taken individually.Figure 1:Association between air pollutant exposure and risk of mortality in incident dialysis patients.In total, this is to our knowledge the first study describing an association between environmental multi-exposure and the risk of all-cause or cause-specific death in dialysis patients on a national scale. These results argue for intensified efforts to limit air pollution, particularly for the highly vulnerable dialysis patient population.\n

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\n \n\n \n \n \n \n \n \n Risk-Benefit Balance of Simultaneous Gastric Bypass or Sleeve Gastrectomy and Concomitant Cholecystectomy: A Comprehensive Nationwide Cohort of 289,627 Patients.\n \n \n \n \n\n\n \n Marciniak, C.; Lenne, X.; Bruandet, A.; Hamroun, A.; Génin, M.; Baud, G.; Theis, D.; Pattou, F.; and Caiazzo, R.\n\n\n \n\n\n\n Annals of Surgery,10.1097/SLA.0000000000006039. 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"Risk-Benefit$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{marciniak_risk-benefit_2023,\n\ttitle = {Risk-{Benefit} {Balance} of {Simultaneous} {Gastric} {Bypass} or {Sleeve} {Gastrectomy} and {Concomitant} {Cholecystectomy}: {A} {Comprehensive} {Nationwide} {Cohort} of 289,627 {Patients}},\n\tissn = {0003-4932},\n\tshorttitle = {Risk-{Benefit} {Balance} of {Simultaneous} {Gastric} {Bypass} or {Sleeve} {Gastrectomy} and {Concomitant} {Cholecystectomy}},\n\turl = {https://journals.lww.com/annalsofsurgery/Abstract/9900/Risk_Benefit_Balance_of_Simultaneous_Gastric.580.aspx},\n\tdoi = {10.1097/SLA.0000000000006039},\n\tabstract = {Objective: \n          To assess the relevance of concomitant laparoscopic metabolic bariatric surgery (MBS) and cholecystectomy.\n          Summary background data: \n          Because of the massive weight loss it induces, MBS is associated with an increase in the frequency of gallstones. However, no consensus yet exists on the risk-to-benefit ratio of a concomitant cholecystectomy (CC) during MBS to prevent long-term biliary complications.\n          Methods: \n          This nationwide retrospective cohort research was conducted in two parts using information from a national administrative database (PMSI). The 90-day morbidity of MBS with or without CC was first compared in a matched trial (propensity score). Second, we observed medium-term biliary complication following MBS when no CChad been performed during MBS up to 9 years after MBS (minimum 18 mo)\n          Results: \n          Between 2013 and 2020, 289,627 patients had a sleeve gastrectomy (SG: 70\\%) or a gastric bypass (GBP: 30\\%). The principal indications of CC were symptomatic cholelithiasis (79.5\\%) or acute cholecystitis (3.6\\%). Prophylactic CC occurred only in 15.5\\% of the cases. In our matched group analysis, we included 9,323 patients in each arm. The complication rate at Day 90 after surgery was greater in the CC arm [OR 1.3 (1.2–1.5), P{\\textless}0.001], independantly of the reason of the CC. At 18 months, there was a 0.1\\% risk of symptomatic gallstone migration and a 0.08\\% risk of biliary pancreatitis. At 9 years, 20.5±0.52\\% of patients underwent an interval cholecystectomy (IC). The likelihood of IC decreased from 5.4\\% per year to 1.7\\% per year after the first 18 monthsthe whole cohort, risk at 18 months of symptomatic gallstone migration was 0.1\\%, of pancreatitis 0.08\\%, and of angiocholitis 0.1\\%.\n          Conclusion: \n          CC during SG and GBP should be avoided. In case of asymptomatic gallstones after MBS, prophylactic cholecystectomy should not be recommended.},\n\tlanguage = {en-US},\n\turldate = {2023-07-25},\n\tjournal = {Annals of Surgery},\n\tauthor = {Marciniak, Camille and Lenne, Xavier and Bruandet, Amélie and Hamroun, Aghiles and Génin, Michaël and Baud, Grégory and Theis, Didier and Pattou, François and Caiazzo, Robert},\n\tyear = {2023},\n\tpages = {10.1097/SLA.0000000000006039},\n}\n\n

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\n \n\n \n \n \n \n \n \n Contributions à l’analyse spatiale en santé.\n \n \n \n \n\n\n \n Genin, M.\n\n\n \n\n\n\n Technical Report Mémoire d'Habilitation à Diriger des Recherches, Université de Lille, Lille, February 2023.\n Accepted: 2023-02-10T16:39:01Z\n\n\n\n
\n\n\n\n \n \n $\"Contributions$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@techreport{genin_contributions_2023,\n\taddress = {Lille},\n\ttype = {Mémoire d'{Habilitation} à {Diriger} des {Recherches}},\n\ttitle = {Contributions à l’analyse spatiale en santé},\n\turl = {https://lilloa.univ-lille.fr/handle/20.500.12210/79163},\n\tabstract = {Ce mémoire propose des contributions à l’analyse spatiale en santé sur les aspects mathématiques/méthodologiques et épidémiologiques. \nDans un premier temps, des développements mathématiques et méthodologiques sont proposés dans le cadre de l'analyse spatiale. Dans ce contexte, une première partie propose des contributions mathématiques dans le cadre de modèles de statistiques de scan pour la détection de clusters spatiaux. A cet effet, plusieurs modèles de statistiques de scan sont proposés ainsi qu'un travail évaluant l'influence de la forme de la fenêtre sur la distribution des statistiques de scan bidimensionnelles discrètes. Une deuxième partie propose un modèle probit partiellement linéaire pour données spatialement dépendantes. Une troisième partie propose une méthode d'interopérabilité spatiale entre des bases de données médicales et des bases de données écologiques. Cette méthode a permis la réutilisation des données de la base nationale du Programme de Médicalisation des Systèmes d'Information (PMSI) dans le cadre d'analyses spatiales.  \nDans un second temps, nous proposons de travaux de recherche en épidémiologie spatiale et spatio-temporelle pour i) caractériser la santé des populations au sein de territoires géographiques et ii) évaluer les liens entre les évènements de santé et les facteurs de risque environnementaux et/ou sociaux afin de générer des hypothèses étiologiques. Ces approches méthodologiques ont été appliquées à  la caractérisation du lien entre l'incidence de maladies cardiovasculaires et l'exposition à la pollution de l'air sur le territoire de la Métropole Européenne de Lille, la mise en évidence de clusters spatiaux d'incidence d'arrêts cardiaques extra-hospitaliers au sein de la petite couronne parisienne, l'analyse des facteurs de risque écologiques de maladie de Crohn et des fractures de hanches sur le territoire national par réutilisation des données de la base nationale du PMSI.},\n\tlanguage = {Français},\n\tnumber = {Mémoire d'Habilitation à Diriger des Recherches},\n\turldate = {2023-06-30},\n\tinstitution = {Université de Lille},\n\tauthor = {Genin, Michaël},\n\tmonth = feb,\n\tyear = {2023},\n\tnote = {Accepted: 2023-02-10T16:39:01Z},\n}\n\n

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\n Ce mémoire propose des contributions à l’analyse spatiale en santé sur les aspects mathématiques/méthodologiques et épidémiologiques. Dans un premier temps, des développements mathématiques et méthodologiques sont proposés dans le cadre de l'analyse spatiale. Dans ce contexte, une première partie propose des contributions mathématiques dans le cadre de modèles de statistiques de scan pour la détection de clusters spatiaux. A cet effet, plusieurs modèles de statistiques de scan sont proposés ainsi qu'un travail évaluant l'influence de la forme de la fenêtre sur la distribution des statistiques de scan bidimensionnelles discrètes. Une deuxième partie propose un modèle probit partiellement linéaire pour données spatialement dépendantes. Une troisième partie propose une méthode d'interopérabilité spatiale entre des bases de données médicales et des bases de données écologiques. Cette méthode a permis la réutilisation des données de la base nationale du Programme de Médicalisation des Systèmes d'Information (PMSI) dans le cadre d'analyses spatiales. Dans un second temps, nous proposons de travaux de recherche en épidémiologie spatiale et spatio-temporelle pour i) caractériser la santé des populations au sein de territoires géographiques et ii) évaluer les liens entre les évènements de santé et les facteurs de risque environnementaux et/ou sociaux afin de générer des hypothèses étiologiques. Ces approches méthodologiques ont été appliquées à la caractérisation du lien entre l'incidence de maladies cardiovasculaires et l'exposition à la pollution de l'air sur le territoire de la Métropole Européenne de Lille, la mise en évidence de clusters spatiaux d'incidence d'arrêts cardiaques extra-hospitaliers au sein de la petite couronne parisienne, l'analyse des facteurs de risque écologiques de maladie de Crohn et des fractures de hanches sur le territoire national par réutilisation des données de la base nationale du PMSI.\n

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\n \n\n \n \n \n \n \n \n Association entre les séjours hospitaliers avec infection et la survie globale des patients traités par ipilimumab : analyse de 1585 patients du PMSI.\n \n \n \n \n\n\n \n Cren, P.; Bertrand, N.; Deley, M. L.; Génin, M.; Mortier, L.; Odou, P.; Penel, N.; and Chazard, E.\n\n\n \n\n\n\n Revue d'Épidémiologie et de Santé Publique, 71: 101469. March 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"Association$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{cren_association_2023,\n\tseries = {Congrès national {Emois} 2023},\n\ttitle = {Association entre les séjours hospitaliers avec infection et la survie globale des patients traités par ipilimumab : analyse de 1585 patients du {PMSI}},\n\tvolume = {71},\n\tissn = {0398-7620},\n\tshorttitle = {Association entre les séjours hospitaliers avec infection et la survie globale des patients traités par ipilimumab},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0398762023000470},\n\tdoi = {10.1016/j.respe.2023.101469},\n\tabstract = {Introduction\nLe microbiote intestinal joue un rôle clé dans la régulation du système immunitaire. La perturbation de la composition du microbiote intestinal par des antibiotiques pourrait affecter l'efficacité des inhibiteurs de point de contrôle immunitaire. Dans une étude portant sur des patients traités par ipilimumab, nous avons cherché à évaluer la relation entre l'administration d'antibiotiques à l'hôpital et la survie globale.\nMéthodes\nLes patients ayant été traités par ipilimumab entre janvier 2012 et novembre 2014 ont été sélectionnés à partir de la base de données nationale française du Programme de médicalisation des systèmes d'information. L'exposition aux antibiotiques était définie comme la présence d'un séjour hospitalier avec une infection bactérienne systémique documentée dans les deux mois précédant ou le mois suivant l'initiation de la toute première cure d'ipilimumab du patient. Le critère de jugement principal était la survie globale.\nRésultats\nNous avons étudié 43 124 séjours hospitaliers impliquant 1585 patients pris en charge dans 97 centres en France. Tous les patients avaient reçu une monothérapie par ipilimumab pour un mélanome avancé ; 117 des 1585 patients (7,4 \\%) ont été exposés à une antibiothérapie systémique à l'hôpital pendant la période d'exposition définie. La survie globale médiane était plus courte chez les patients présentant une infection (6,3 mois, contre 15,4 mois chez les patients sans infection; hazard ratio (HR)=1,88, intervalle de confiance à 95\\% [1,46; 2,43], p=10−6). Dans l'analyse multivariée, l'infection était toujours associée de manière significative à une diminution de la survie globale (HR=1,68, [1,30; 2,18], p=10−5).\nDiscussion/Conclusion\nChez les patients traités par ipilimumab pour un mélanome avancé, l'infection et l'administration d'antibiotiques à l'hôpital autour de la toute première cure d'ipilimumab semblent être associées à une diminution significative de l'efficacité de cet inhibiteur de point de contrôle immunitaire.\nMots-clés\nMélanome ; Ipilimumab ; Microbiote intestinal ; PMSI ; Réutilisation de données ; Données massives\nDéclaration de liens d'intérêts\nLes auteurs déclarent ne pas avoir de liens d'intérêts.},\n\tlanguage = {fr},\n\turldate = {2023-05-23},\n\tjournal = {Revue d'Épidémiologie et de Santé Publique},\n\tauthor = {Cren, P-Y. and Bertrand, N. and Deley, M-C. Le and Génin, M. and Mortier, L. and Odou, P. and Penel, N. and Chazard, E.},\n\tmonth = mar,\n\tyear = {2023},\n\tpages = {101469},\n}\n\n

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\n Introduction Le microbiote intestinal joue un rôle clé dans la régulation du système immunitaire. La perturbation de la composition du microbiote intestinal par des antibiotiques pourrait affecter l'efficacité des inhibiteurs de point de contrôle immunitaire. Dans une étude portant sur des patients traités par ipilimumab, nous avons cherché à évaluer la relation entre l'administration d'antibiotiques à l'hôpital et la survie globale. Méthodes Les patients ayant été traités par ipilimumab entre janvier 2012 et novembre 2014 ont été sélectionnés à partir de la base de données nationale française du Programme de médicalisation des systèmes d'information. L'exposition aux antibiotiques était définie comme la présence d'un séjour hospitalier avec une infection bactérienne systémique documentée dans les deux mois précédant ou le mois suivant l'initiation de la toute première cure d'ipilimumab du patient. Le critère de jugement principal était la survie globale. Résultats Nous avons étudié 43 124 séjours hospitaliers impliquant 1585 patients pris en charge dans 97 centres en France. Tous les patients avaient reçu une monothérapie par ipilimumab pour un mélanome avancé ; 117 des 1585 patients (7,4 %) ont été exposés à une antibiothérapie systémique à l'hôpital pendant la période d'exposition définie. La survie globale médiane était plus courte chez les patients présentant une infection (6,3 mois, contre 15,4 mois chez les patients sans infection; hazard ratio (HR)=1,88, intervalle de confiance à 95% [1,46; 2,43], p=10−6). Dans l'analyse multivariée, l'infection était toujours associée de manière significative à une diminution de la survie globale (HR=1,68, [1,30; 2,18], p=10−5). Discussion/Conclusion Chez les patients traités par ipilimumab pour un mélanome avancé, l'infection et l'administration d'antibiotiques à l'hôpital autour de la toute première cure d'ipilimumab semblent être associées à une diminution significative de l'efficacité de cet inhibiteur de point de contrôle immunitaire. Mots-clés Mélanome ; Ipilimumab ; Microbiote intestinal ; PMSI ; Réutilisation de données ; Données massives Déclaration de liens d'intérêts Les auteurs déclarent ne pas avoir de liens d'intérêts.\n

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\n \n\n \n \n \n \n \n \n Investigating spatial scan statistics for multivariate functional data.\n \n \n \n \n\n\n \n Frévent, C.; Ahmed, M.; Dabo-Niang, S.; and Genin, M.\n\n\n \n\n\n\n Journal of the Royal Statistical Society Series C: Applied Statistics, 72(2): 450–475. May 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"Investigating$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{frevent_investigating_2023,\n\ttitle = {Investigating spatial scan statistics for multivariate functional data},\n\tvolume = {72},\n\tissn = {0035-9254},\n\turl = {https://doi.org/10.1093/jrsssc/qlad017},\n\tdoi = {10.1093/jrsssc/qlad017},\n\tabstract = {In environmental surveillance, cluster detection of environmental black spots is of major interest due to the adverse health effects of pollutants, as well as their known synergistic effect. Thus, this paper introduces three new spatial scan statistics for multivariate functional data, applicable for detecting clusters of abnormal air pollutants concentrations measured spatially at a very fine scale in northern France in October 2021 taking into account their correlations. Mathematically, our methodology is derived from a functional multivariate analysis of variance, an adaptation of the Hotelling T2-test statistic, and a multivariate extension of the Wilcoxon test statistic. The approaches were evaluated in a simulation study and then applied to the air pollution dataset.},\n\tnumber = {2},\n\turldate = {2023-05-22},\n\tjournal = {Journal of the Royal Statistical Society Series C: Applied Statistics},\n\tauthor = {Frévent, Camille and Ahmed, Mohamed-Salem and Dabo-Niang, Sophie and Genin, Michaël},\n\tmonth = may,\n\tyear = {2023},\n\tpages = {450--475},\n}\n\n

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\n \n\n \n \n \n \n \n \n CovAID: Identification of factors associated with severe COVID-19 in patients with inflammatory rheumatism or autoimmune diseases.\n \n \n \n \n\n\n \n Chevalier, K.; Genin, M.; Jean, T. P.; Avouac, J.; Flipo, R.; Georgin-Lavialle, S.; El Mahou, S.; Pertuiset, E.; Pham, T.; Servettaz, A.; Marotte, H.; Domont, F.; Chazerain, P.; Devaux, M.; Mekinian, A.; Sellam, J.; Fautrel, B.; Rouzaud, D.; Ebstein, E.; Costedoat-Chalumeau, N.; Richez, C.; Hachulla, E.; Mariette, X.; and Seror, R.\n\n\n \n\n\n\n Frontiers in Medicine, 10. 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"CovAID:$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{chevalier_covaid_2023,\n\ttitle = {{CovAID}: {Identification} of factors associated with severe {COVID}-19 in patients with inflammatory rheumatism or autoimmune diseases},\n\tvolume = {10},\n\tissn = {2296-858X},\n\tshorttitle = {{CovAID}},\n\turl = {https://www.frontiersin.org/articles/10.3389/fmed.2023.1152587},\n\tabstract = {IntroductionAutoimmune/inflammatory rheumatic diseases (AIRDs) patients might be at-risk of severe COVID-19. However, whether this is linked to the disease or to its treatment is difficult to determine. This study aimed to identify factors associated with occurrence of severe COVID-19 in AIRD patients and to evaluate whether having an AIRD was associated with increased risk of severe COVID-19 or death.Materials and methodsTwo databases were analyzed: the EDS (Entrepôt des Données de Santé, Clinical Data Warehouse), including all patients followed in Paris university hospitals and the French multi-center COVID-19 cohort [French rheumatic and musculoskeletal diseases (RMD)]. First, in a combined analysis we compared patients with severe and non-severe COVID-19 to identify factors associated with severity. Then, we performed a propensity matched score case–control study within the EDS database to compare AIRD cases and non-AIRD controls.ResultsAmong 1,213 patients, 195 (16.1\\%) experienced severe COVID-19. In multivariate analysis, older age, interstitial lung disease (ILD), arterial hypertension, obesity, sarcoidosis, vasculitis, auto-inflammatory diseases, and treatment with corticosteroids or rituximab were associated with increased risk of severe COVID-19. Among 35,741 COVID-19 patients in EDS, 316 having AIRDs were compared to 1,264 Propensity score-matched controls. AIRD patients had a higher risk of severe COVID-19 [aOR = 1.43 (1.08–1.87), p = 0.01] but analysis restricted to rheumatoid arthritis and spondyloarthritis found no increased risk of severe COVID-19 [aOR = 1.11 (0.68–1.81)].ConclusionIn this multicenter study, we confirmed that AIRD patients treated with rituximab or corticosteroids and/or having vasculitis, auto-inflammatory disease, and sarcoidosis had increased risk of severe COVID-19. Also, AIRD patients had, overall, an increased risk of severe COVID-19 compares general population.},\n\turldate = {2023-04-05},\n\tjournal = {Frontiers in Medicine},\n\tauthor = {Chevalier, Kevin and Genin, Michaël and Jean, Thomas Petit and Avouac, Jerôme and Flipo, Rene-Marc and Georgin-Lavialle, Sophie and El Mahou, Soumaya and Pertuiset, Edouard and Pham, Thao and Servettaz, Amelie and Marotte, Hubert and Domont, Fanny and Chazerain, Pascal and Devaux, Mathilde and Mekinian, Arsene and Sellam, Jérémie and Fautrel, Bruno and Rouzaud, Diane and Ebstein, Esther and Costedoat-Chalumeau, Nathalie and Richez, Christophe and Hachulla, Eric and Mariette, Xavier and Seror, Raphaèle},\n\tyear = {2023},\n}\n\n

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\n \n\n \n \n \n \n \n \n Spatial scale and spatial effects: Shedding light on how a change of scale can affect the characterization of environmental health inequalities.\n \n \n \n \n\n\n \n Brousmiche, D.; Lanier, C.; Occelli, F.; Pochet, L.; Degezelle, S.; Genin, M.; Deram, A.; and Cuny, D.\n\n\n \n\n\n\n Environmental Science & Policy, 144: 20–30. June 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"Spatial$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 1 download\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

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@article{brousmiche_spatial_2023,\n\ttitle = {Spatial scale and spatial effects: {Shedding} light on how a change of scale can affect the characterization of environmental health inequalities},\n\tvolume = {144},\n\tissn = {1462-9011},\n\tshorttitle = {Spatial scale and spatial effects},\n\turl = {https://www.sciencedirect.com/science/article/pii/S1462901123000758},\n\tdoi = {10.1016/j.envsci.2023.03.005},\n\tabstract = {Resolving health inequalities continues to be a priority in improving quality of life around the world. Their impact is of increasing concern to public health governance, which considers the issue of environmental health inequalities to be paramount. To meet this challenge, we have developed a methodology based on the development of spatial composite index in order to assess these inequalities while also providing an alternative to classic approaches that are solely based on territory weaknesses. The aggregation of the widest possible range of factors involved in environmental health provide a clear picture of a territory. This study uses different cases to understand how the change of scale influences the analysis of environmental health inequalities. Our analysis is based on a densely populated area located in a region in the north of France where the standardized mortality ratio is higher than the national average. Multidimensional composite indices were developed simultaneously from datasets collected for different administrative units, and were used to compare levels of resilience and vulnerability within the geographical area. Joint analysis of composite indices led to the identification of territorial blackspots. Indices could therefore enable stakeholders to prioritize certain administrative units, implementing specific measures according to the specificities of each administrative unit. The study discusses the consequences of the choice of a spatial unit and a geographical area in the assessment of territorial inequalities in health, particularly in terms of accessibility, availability and exhaustivity of data. The selection criteria also depend on the jurisdictional fields of action stakeholders.},\n\tlanguage = {en},\n\turldate = {2023-03-15},\n\tjournal = {Environmental Science \\& Policy},\n\tauthor = {Brousmiche, Delphine and Lanier, Caroline and Occelli, Florent and Pochet, Louis and Degezelle, Samuel and Genin, Michael and Deram, Annabelle and Cuny, Damien},\n\tmonth = jun,\n\tyear = {2023},\n\tkeywords = {Environmental health determinants, Spatial variability, Specificity of data, Territorial diagnosis, Urban community, ‘Health in All Policies’},\n\tpages = {20--30},\n}\n\n

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\n \n\n \n \n \n \n \n Indication for molecular testing by multiplex ligation-dependent probe amplification in parkinsonism.\n \n \n \n\n\n \n Mutez, E.; Swiderski, M.; Devos, D.; Moreau, C.; Baille, G.; Degardin, A.; Ryckewaert, G.; Carriere, N.; Kreisler, A.; Simonin, C.; Rouaix, N.; Tir, M.; Krystkowiak, P.; Ramdane, N.; Génin, M.; Sablonnière, B.; Defebvre, L.; and Huin, V.\n\n\n \n\n\n\n European Journal of Neurology. March 2023.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{mutez_indication_2023,\n\ttitle = {Indication for molecular testing by multiplex ligation-dependent probe amplification in parkinsonism},\n\tissn = {1468-1331},\n\tdoi = {10.1111/ene.15788},\n\tabstract = {BACKGROUND: The monogenic forms of Parkinson's disease represent less than 10\\% of familial cases and a still lower frequency of sporadic cases. However, guidelines to orient genetic testing are lacking. We aim to establish the interest of multiplex ligation-dependent probe amplification as a primary screening test and to propose clinical criteria to guide genetic diagnostic tests for patients with suspected Mendelian Parkinson's disease.\nMETHODS: We recruited 567 patients with parkinsonism from 547 unrelated families and performed two multiplex ligation-dependent probe amplifications for each. We confirmed all pathogenic G2019S variants in the LRRK2 gene by Sanger sequencing and screened the PRKN gene for a second mutation in cases of one heterozygous structural variant in the PRKN gene.\nRESULTS: The performance of multiplex ligation-dependent probe amplifications was 51/567 (9\\%) for the entire cohort and included 27 (4.8\\%) LRRK2 G2019S mutations, 19 (3.4\\%) PRKN mutations, and 5 (0.9\\%) SNCA locus duplications. The variables significantly associated with a positive test in the total cohort were North African ancestry (p {\\textless} 0.0001), female sex (p = 0.004), and younger age at onset (p {\\textless} 0.0008).\nCONCLUSIONS: Retrospective analysis allowed us to refine our indication criteria: (i) North African ancestry, (ii) an age at onset {\\textless} 40, or (iii) a familial history of parkinsonism with at least one affected first-degree relative. Our study highlights the interest of MLPA testing for other parkinsonisms cases with a family history, especially for patients with dementia with Lewy bodies or a multiple system atrophy-like phenotype.},\n\tlanguage = {eng},\n\tjournal = {European Journal of Neurology},\n\tauthor = {Mutez, E. and Swiderski, M. and Devos, D. and Moreau, C. and Baille, G. and Degardin, A. and Ryckewaert, G. and Carriere, N. and Kreisler, A. and Simonin, C. and Rouaix, N. and Tir, M. and Krystkowiak, P. and Ramdane, N. and Génin, M. and Sablonnière, B. and Defebvre, L. and Huin, V.},\n\tmonth = mar,\n\tyear = {2023},\n\tpmid = {36916668},\n\tkeywords = {Mendelian transmission, Parkinson's disease, dementia with Lewy bodies, genetic testing, multiple system atrophy},\n}\n\n

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\n \n\n \n \n \n \n \n \n Saccharomyces cerevisiae prevents postoperative recurrence of Crohn's disease modeled by ileocecal resection in HLA-B27 transgenic rats.\n \n \n \n \n\n\n \n Valibouze, C.; Speca, S.; Dubuquoy, C.; Mourey, F.; M'Ba, L.; Schneider, L.; Titecat, M.; Foligné, B.; Genin, M.; Neut, C.; Zerbib, P.; and Desreumaux, P.\n\n\n \n\n\n\n World Journal of Gastroenterology, 29(5): 851–866. February 2023.\n Publisher: Baishideng Publishing Group Inc.\n\n\n\n
\n\n\n\n \n \n $\"Saccharomyces$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{valibouze_saccharomyces_2023,\n\ttitle = {Saccharomyces cerevisiae prevents postoperative recurrence of {Crohn}'s disease modeled by ileocecal resection in {HLA}-{B27} transgenic rats},\n\tvolume = {29},\n\turl = {https://www.wjgnet.com/1007-9327/full/v29/i5/WJG-29-851-g013.htm},\n\tdoi = {10.3748/wjg.v29.i5.851},\n\tabstract = {Saccharomyces cerevisiae prevents postoperative recurrence of Crohn's disease modeled by ileocecal resection in HLA-B27 transgenic rats},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2023-02-16},\n\tjournal = {World Journal of Gastroenterology},\n\tauthor = {Valibouze, Caroline and Speca, Silvia and Dubuquoy, Caroline and Mourey, Florian and M'Ba, Lena and Schneider, Lucil and Titecat, Marie and Foligné, Benoît and Genin, Michaël and Neut, Christel and Zerbib, Philippe and Desreumaux, Pierre},\n\tmonth = feb,\n\tyear = {2023},\n\tnote = {Publisher: Baishideng Publishing Group Inc.},\n\tpages = {851--866},\n}\n\n

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\n \n\n \n \n \n \n \n Spatial scan statistics for functional data.\n \n \n \n\n\n \n C. Frévent; M.S. Ahmed; and M. Genin\n\n\n \n\n\n\n In Handbook of scan statistics. Springer NY, 2023.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@incollection{c_frevent_spatial_2023,\n\ttitle = {Spatial scan statistics for functional data},\n\tbooktitle = {Handbook of scan statistics},\n\tpublisher = {Springer NY},\n\tauthor = {{C. Frévent} and {M.S. Ahmed} and {M. Genin}},\n\tyear = {2023},\n}\n\n

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\n \n\n \n \n \n \n \n \n How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?.\n \n \n \n \n\n\n \n Brousmiche, D.; Lanier, C.; Cuny, D.; Frevent, C.; Genin, M.; Blanc-Garin, C.; Amouyel, P.; Deram, A.; Occelli, F.; and Meirhaeghe, A.\n\n\n \n\n\n\n Science of The Total Environment, 867: 161563. April 2023.\n \n\n\n\n
\n\n\n\n \n \n $\"How$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 2 downloads\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

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@article{brousmiche_how_2023,\n\ttitle = {How do territorial characteristics affect spatial inequalities in the risk of coronary heart disease?},\n\tvolume = {867},\n\tissn = {0048-9697},\n\turl = {https://www.sciencedirect.com/science/article/pii/S004896972300178X},\n\tdoi = {10.1016/j.scitotenv.2023.161563},\n\tabstract = {Background\nCardiovascular diseases remain the leading cause of death and disabilities worldwide, with coronary heart diseases being the most frequently diagnosed. Their multifactorial etiology involves individual, behavioral and territorial determinants, and thus requires the implementation of multidimensional approaches to assess links between territorial characteristics and the incidence of coronary heart diseases.\nContext and objectives\nThis study was carried out in a densely populated area located in the north of France with multiple sources of pollutants. The aim of this research was therefore to establish complex territorial profiles that have been characterized by the standardized incidence, thereby identifying the influences of determinants that can be related to a beneficial or a deleterious effect on cardiovascular health.\nMethods\nForty-four variables related to economic, social, health, environment and services dimensions with an established or suspected impact on cardiovascular health were used to describe the multidimensional characteristics involved in cardiovascular health.\nResults\nThree complex territorial profiles have been highlighted and characterized by the standardized incidence rate (SIR) of coronary heart diseases after adjustment for age and gender. Profile 1 was characterized by an SIR of 0.895 (sd: 0.143) and a higher number of determinants that revealed favorable territorial conditions. Profiles 2 and 3 were characterized by SIRs of respectively 1.225 (sd: 0.242) and 1.119 (sd: 0.273). Territorial characteristics among these profiles of over-incidence were nevertheless dissimilar. Profile 2 revealed higher deprivation, lower vegetation and lower atmospheric pollution, while profile 3 displayed a rather privileged population with contrasted territorial conditions.\nConclusion\nThis methodology permitted the characterization of the multidimensional determinants involved in cardiovascular health, whether they have a negative or a positive impact, and could provide stakeholders with a diagnostic tool to implement contextualized public health policies to prevent coronary heart diseases.},\n\tlanguage = {en},\n\turldate = {2023-01-18},\n\tjournal = {Science of The Total Environment},\n\tauthor = {Brousmiche, Delphine and Lanier, Caroline and Cuny, Damien and Frevent, Camille and Genin, Michael and Blanc-Garin, Carine and Amouyel, Philippe and Deram, Annabelle and Occelli, Florent and Meirhaeghe, Aline},\n\tmonth = apr,\n\tyear = {2023},\n\tkeywords = {Cardiovascular health, Complex territorial profile, Multidimensional determinants, Resilience, Vulnerability},\n\tpages = {161563},\n}\n\n

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\n Background Cardiovascular diseases remain the leading cause of death and disabilities worldwide, with coronary heart diseases being the most frequently diagnosed. Their multifactorial etiology involves individual, behavioral and territorial determinants, and thus requires the implementation of multidimensional approaches to assess links between territorial characteristics and the incidence of coronary heart diseases. Context and objectives This study was carried out in a densely populated area located in the north of France with multiple sources of pollutants. The aim of this research was therefore to establish complex territorial profiles that have been characterized by the standardized incidence, thereby identifying the influences of determinants that can be related to a beneficial or a deleterious effect on cardiovascular health. Methods Forty-four variables related to economic, social, health, environment and services dimensions with an established or suspected impact on cardiovascular health were used to describe the multidimensional characteristics involved in cardiovascular health. Results Three complex territorial profiles have been highlighted and characterized by the standardized incidence rate (SIR) of coronary heart diseases after adjustment for age and gender. Profile 1 was characterized by an SIR of 0.895 (sd: 0.143) and a higher number of determinants that revealed favorable territorial conditions. Profiles 2 and 3 were characterized by SIRs of respectively 1.225 (sd: 0.242) and 1.119 (sd: 0.273). Territorial characteristics among these profiles of over-incidence were nevertheless dissimilar. Profile 2 revealed higher deprivation, lower vegetation and lower atmospheric pollution, while profile 3 displayed a rather privileged population with contrasted territorial conditions. Conclusion This methodology permitted the characterization of the multidimensional determinants involved in cardiovascular health, whether they have a negative or a positive impact, and could provide stakeholders with a diagnostic tool to implement contextualized public health policies to prevent coronary heart diseases.\n

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\n \n 2022\n \n \n (7)\n \n \n

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\n \n\n \n \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\n\n \n Chazard, E.; Balaye, P.; Balcaen, T.; Genin, M.; Cuggia, M.; Bouzille, G.; and Lamer, A.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 290: 567–571. June 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 1 download\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

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@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 = {Books, Data reuse, Databases, Factual, Delivery of Health Care, Electronic Health Records, Humans, Music, feature extraction, survival analyses},\n\tpages = {567--571},\n}\n\n

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\n \n\n \n \n \n \n \n The R Journal: The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics.\n \n \n \n\n\n \n Frévent, C.; Ahmed, M.; Soula, J.; Cucala, L.; Smida, Z.; Dabo-Niang, S.; and Genin, M.\n\n\n \n\n\n\n The R Journal, 14(3): 95–120. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{frevent_r_2022,\n\ttitle = {The {R} {Journal}: {The} {R} {Package} {HDSpatialScan} for the {Detection} of {Clusters} of {Multivariate} and {Functional} {Data} using {Spatial} {Scan} {Statistics}},\n\tvolume = {14},\n\tissn = {2073-4859},\n\tdoi = {10.32614/RJ-2022-045},\n\tnumber = {3},\n\tjournal = {The R Journal},\n\tauthor = {Frévent, Camille and Ahmed, Mohamed-Salem and Soula, Julien and Cucala, Lionel and Smida, Zaineb and Dabo-Niang, Sophie and Genin, Michaël},\n\tyear = {2022},\n\tpages = {95--120},\n}\n\n

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\n \n\n \n \n \n \n \n \n L'orgue de barbarie : proposition d'une représentation des données de santé temps-dépendantes, visant à faciliter leur réutilisation.\n \n \n \n \n\n\n \n Chazard, E.; Balaye, P.; Balcaen, T.; Genin, M.; Cuggia, M.; Bouzille, G.; and Lamer, A.\n\n\n \n\n\n\n Revue d'Épidémiologie et de Santé Publique, 70: S8. March 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"L'orgue$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{chazard_orgue_2022,\n\tseries = {{VIIIe} {Colloque} national {Adelf}-{Emois}},\n\ttitle = {L'orgue de barbarie : proposition d'une représentation des données de santé temps-dépendantes, visant à faciliter leur réutilisation},\n\tvolume = {70},\n\tissn = {0398-7620},\n\tshorttitle = {L'orgue de barbarie},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0398762022000694},\n\tdoi = {10.1016/j.respe.2022.01.068},\n\tabstract = {Introduction\nLes données structurées d'entrepôts de santé sont complexes (centaines de tables, variables qualitatives multivaluées, déséquilibrées, manquantes). L'extraction de caractéristique génère des données ressemblant aux données de questionnaires, aisément analysables. Trop souvent, elle écrase la temporalité des données.\nObjectif\nProposer une méthodologie d'extraction de caractéristiques sécurisant la gestion du temps.\nMéthodes\nAnalogie entre les partitions d'orgue de barbarie et les données de santé temps-dépendantes. Etude de compatibilité avec les données structurées fréquemment rencontrées (PMSI, médicaments, biologie médicale). Etude de compatibilité avec les méthodes statistiques d'analyse de données temps-dépendantes.\nRésultats\nLes partitions d'orgue de barbarie sont constituées de pistes représentant des notes, qui peuvent être actives (perforées) ou non. Ces pistes synchronisées défilent et jouent une musique. Pareillement, un patient peut être représentée par des variables temps dépendantes (même le sexe), volontiers binaires. Il s'agit d'événements ponctuel (notes "staccato") ou d'états prolongées (notes tenues). Ce modèle de données est compatible avec les données usuelles de santé : - les mouvements, événements (admission, mutation) ou états (séjour, passage en soins intensifs) - les données démographiques (âge en classes, sexe) - les mesures de biologie médicale, événements (mesure) ou états (hypo/hyper/normo-kaliémie, période sans mesure) - les médicaments, avec ou sans dose (kayexalate, kayexalate {\\textgreater} 15) - les codes PMSI, événements (actes CCAM) ou états (diagnostics CIM10). Cette représentation intermédiaire de données serait compatible avec toutes les caractéristiques du modèle de Cox à covariables temps dépendantes, des arbres de survie, et des règles d'association temporelles, hormis l'utilisation directe de variables quantitatives.\nDiscussion/Conclusion\nL'extraction de caractéristiques serait ainsi séparée en : 1 - génération d'une partition d'orgue de barbarie (simplifie la structure des données, abolit l'hétérogénéité, préserve le temps) ; 2 - constitution de données de type questionnaire (simplifie le temps ou le décrit comme une variable). La forme des données étant standardisée par cette approche, la deuxième étape s'appuiera sur des fonctions standardisées (ex : état à un instant, pire état durant une période, temps passé dans un état, délai jusqu'à un événement).},\n\tlanguage = {fr},\n\turldate = {2022-09-20},\n\tjournal = {Revue d'Épidémiologie et de Santé Publique},\n\tauthor = {Chazard, E. and Balaye, P. and Balcaen, T. and Genin, M. and Cuggia, M. and Bouzille, G. and Lamer, A.},\n\tmonth = mar,\n\tyear = {2022},\n\tkeywords = {Analyses de survie, Extraction de caractéristiques, Réutilisation de données},\n\tpages = {S8},\n}\n\n

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\n Introduction Les données structurées d'entrepôts de santé sont complexes (centaines de tables, variables qualitatives multivaluées, déséquilibrées, manquantes). L'extraction de caractéristique génère des données ressemblant aux données de questionnaires, aisément analysables. Trop souvent, elle écrase la temporalité des données. Objectif Proposer une méthodologie d'extraction de caractéristiques sécurisant la gestion du temps. Méthodes Analogie entre les partitions d'orgue de barbarie et les données de santé temps-dépendantes. Etude de compatibilité avec les données structurées fréquemment rencontrées (PMSI, médicaments, biologie médicale). Etude de compatibilité avec les méthodes statistiques d'analyse de données temps-dépendantes. Résultats Les partitions d'orgue de barbarie sont constituées de pistes représentant des notes, qui peuvent être actives (perforées) ou non. Ces pistes synchronisées défilent et jouent une musique. Pareillement, un patient peut être représentée par des variables temps dépendantes (même le sexe), volontiers binaires. Il s'agit d'événements ponctuel (notes \"staccato\") ou d'états prolongées (notes tenues). Ce modèle de données est compatible avec les données usuelles de santé : - les mouvements, événements (admission, mutation) ou états (séjour, passage en soins intensifs) - les données démographiques (âge en classes, sexe) - les mesures de biologie médicale, événements (mesure) ou états (hypo/hyper/normo-kaliémie, période sans mesure) - les médicaments, avec ou sans dose (kayexalate, kayexalate \\textgreater 15) - les codes PMSI, événements (actes CCAM) ou états (diagnostics CIM10). Cette représentation intermédiaire de données serait compatible avec toutes les caractéristiques du modèle de Cox à covariables temps dépendantes, des arbres de survie, et des règles d'association temporelles, hormis l'utilisation directe de variables quantitatives. Discussion/Conclusion L'extraction de caractéristiques serait ainsi séparée en : 1 - génération d'une partition d'orgue de barbarie (simplifie la structure des données, abolit l'hétérogénéité, préserve le temps) ; 2 - constitution de données de type questionnaire (simplifie le temps ou le décrit comme une variable). La forme des données étant standardisée par cette approche, la deuxième étape s'appuiera sur des fonctions standardisées (ex : état à un instant, pire état durant une période, temps passé dans un état, délai jusqu'à un événement).\n

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\n \n\n \n \n \n \n \n Plasma Levels of Free NƐ-Carboxymethyllysine (CML) after Different Oral Doses of CML in Rats and after the Intake of Different Breakfasts in Humans: Postprandial Plasma Level of sRAGE in Humans.\n \n \n \n\n\n \n Helou, C.; Nogueira Silva Lima, M. T.; Niquet-Leridon, C.; Jacolot, P.; Boulanger, E.; Delguste, F.; Guilbaud, A.; Genin, M.; Anton, P. M.; Delayre-Orthez, C.; Papazian, T.; Howsam, M.; and Tessier, F. J.\n\n\n \n\n\n\n Nutrients, 14(9): 1890. April 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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 \n \n \n \n \n \n \n \n \n \n\n\n\n

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@article{helou_plasma_2022,\n\ttitle = {Plasma {Levels} of {Free} {NƐ}-{Carboxymethyllysine} ({CML}) after {Different} {Oral} {Doses} of {CML} in {Rats} and after the {Intake} of {Different} {Breakfasts} in {Humans}: {Postprandial} {Plasma} {Level} of {sRAGE} in {Humans}},\n\tvolume = {14},\n\tissn = {2072-6643},\n\tshorttitle = {Plasma {Levels} of {Free} {NƐ}-{Carboxymethyllysine} ({CML}) after {Different} {Oral} {Doses} of {CML} in {Rats} and after the {Intake} of {Different} {Breakfasts} in {Humans}},\n\tdoi = {10.3390/nu14091890},\n\tabstract = {N-carboxymethyl-lysine (CML) and other dietary advanced glycation end-products (AGEs) are chemically modified amino acids with potential toxicological effects putatively related to their affinity with the receptor for AGEs (RAGE). The goal of this study was to determine the postprandial kinetics of CML in both rodents and humans and, in the latter, to evaluate their relationship with the soluble RAGE isoforms (sRAGE). Four gavage solutions containing different forms of CML were given to rats, and blood was collected over 8 h. Three different breakfasts containing dietary CML (dCML) were administered to 20 healthy volunteers, and blood was collected over 2 h. Concentrations of CML, CEL, and lysine were quantified in plasma and human meals by LC-MS/MS, and sRAGE was determined in human plasma by ELISA. The results showed that dCML did not affect the concentrations of circulating protein-bound CML and that only free CML increased in plasma, with a postprandial peak at 90 to 120 min. In humans, the postprandial plasmatic sRAGE concentration decreased independently of the dAGE content of the breakfasts. This study confirms reports of the inverse postprandial relationship between plasmatic free CML and sRAGE, though this requires further investigation for causality to be established.},\n\tlanguage = {eng},\n\tnumber = {9},\n\tjournal = {Nutrients},\n\tauthor = {Helou, Cynthia and Nogueira Silva Lima, Matheus Thomaz and Niquet-Leridon, Céline and Jacolot, Philippe and Boulanger, Eric and Delguste, Florian and Guilbaud, Axel and Genin, Michael and Anton, Pauline M. and Delayre-Orthez, Carine and Papazian, Tatiana and Howsam, Michael and Tessier, Frédéric J.},\n\tmonth = apr,\n\tyear = {2022},\n\tpmid = {35565855},\n\tpmcid = {PMC9101122},\n\tkeywords = {Animals, Biomarkers, Breakfast, Chromatography, Liquid, Glycation End Products, Advanced, Humans, Lysine, Maillard reaction, Rats, Receptor for Advanced Glycation End Products, Tandem Mass Spectrometry, carboxymethyllysine, glycation, lysine, sRAGE},\n\tpages = {1890},\n}\n\n

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\n \n\n \n \n \n \n \n Transition to Comfort Care Only and End-of-Life Trajectories in an Acute Geriatric Unit: A Secondary Analysis of the DAMAGE Cohort.\n \n \n \n\n\n \n Deschasse, G.; Charpentier, A.; Prod'homme, C.; Genin, M.; Delecluse, C.; Gaxatte, C.; Gérard, C.; Bukor, Z.; Devulder, P.; Couvreur, L.; Bloch, F.; Puisieux, F.; Visade, F.; and Beuscart, J.\n\n\n \n\n\n\n Journal of the American Medical Directors Association, 23(9): 1492–1498. September 2022.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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 \n \n\n\n\n

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@article{deschasse_transition_2022,\n\ttitle = {Transition to {Comfort} {Care} {Only} and {End}-of-{Life} {Trajectories} in an {Acute} {Geriatric} {Unit}: {A} {Secondary} {Analysis} of the {DAMAGE} {Cohort}},\n\tvolume = {23},\n\tissn = {1538-9375},\n\tshorttitle = {Transition to {Comfort} {Care} {Only} and {End}-of-{Life} {Trajectories} in an {Acute} {Geriatric} {Unit}},\n\tdoi = {10.1016/j.jamda.2022.04.016},\n\tabstract = {OBJECTIVES: Comfort care for a dying patient increases the quality of the end of life. End-of-life situations are frequently managed in acute geriatric units (AGUs), and transition to comfort care only is often necessary. However, the frequency of transition to comfort care and the latter's putative link with the end-of-life trajectory (sudden death, cancer, organ failure, and frailty with or without dementia) have not previously been studied in acute geriatric units. We sought to (1) describe end-of-life trajectories and the transition to comfort care only, and (2) analyse the relationship between the two, prior to death in an AGU.\nDESIGN: A secondary analysis of a subgroup of the DAMAGE cohort (a prospective multicentre cohort of 3509 patients aged 75 years and over and admitted consecutively to an AGU).\nSETTING/PARTICIPANTS: DAMAGE patients who died in an AGU after a stay of at least 48 hours.\nMETHODS: Data on the end-of-life trajectory and the transition to comfort care only were extracted from medical records.\nRESULTS: Of the 177 included patients, 123 (69.5\\%) transitioned to comfort care only in the AGU. A frailty trajectory (in patients living with dementia or not) accounted for nearly 70\\% of deaths. Paradoxically, only frailty among people living without dementia was not significantly associated with a more frequent transition to comfort care [odds ratio (95\\% confidence interval): 1.44 (0.44-4.76), relative to a patient dying suddenly].\nCONCLUSIONS AND IMPLICATIONS: Transition to comfort care only is frequent in AGUs and is linked to the end-of-life trajectory (except for frail patients living without dementia). The frailty trajectory is one of the most frequent, and, therefore, physicians must be aware of the need to improve practice in this context.},\n\tlanguage = {eng},\n\tnumber = {9},\n\tjournal = {Journal of the American Medical Directors Association},\n\tauthor = {Deschasse, Guillaume and Charpentier, Anne and Prod'homme, Chloé and Genin, Michaël and Delecluse, Celine and Gaxatte, Cedric and Gérard, Charlotte and Bukor, Zsofi and Devulder, Perrine and Couvreur, Louis-Antoine and Bloch, Frédéric and Puisieux, François and Visade, Fabien and Beuscart, Jean-Baptiste},\n\tmonth = sep,\n\tyear = {2022},\n\tpmid = {35609637},\n\tkeywords = {Aged, Death, Frailty, Humans, Palliative care, Patient Comfort, Prospective Studies, Terminal Care, acute geriatric unit, dementia, end-of-life trajectory, hospital admission, transition to comfort care only},\n\tpages = {1492--1498},\n}\n\n

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\n \n\n \n \n \n \n \n \n A Bayesian shared-frailty spatial scan statistic model for time-to-event data.\n \n \n \n \n\n\n \n Frévent, C.; Ahmed, M.; Dabo-Niang, S.; and Genin, M.\n\n\n \n\n\n\n September 2022.\n arXiv:2209.00279 [stat]\n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n\n\n\n

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@misc{frevent_bayesian_2022,\n\ttitle = {A {Bayesian} shared-frailty spatial scan statistic model for time-to-event data},\n\turl = {http://arxiv.org/abs/2209.00279},\n\tdoi = {10.48550/arXiv.2209.00279},\n\tabstract = {Spatial scan statistics are well known and widely used methods for the detection of spatial clusters of events. In the field of spatial analysis of time-to-event data, several models of scan statistics have been proposed. However, these models do not take into account the potential intra-unit spatial correlation of individuals nor a potential correlation between spatial units. To overcome this problem, we propose here a scan statistic based on a Cox model with shared frailty that takes into account the spatial correlation between spatial units. In simulation studies, we have shown that (i) classical models of spatial scan statistics for time-to-event data fail to maintain the type I error in the presence of intra-spatial unit correlation, and (ii) our model performs well in the presence of both intra-spatial unit correlation and inter-spatial unit correlation. Our method has been applied to epidemiological data and to the detection of spatial clusters of mortality in patients with end-stage renal disease in northern France.},\n\turldate = {2022-09-05},\n\tpublisher = {arXiv},\n\tauthor = {Frévent, Camille and Ahmed, Mohamed-Salem and Dabo-Niang, Sophie and Genin, Michaël},\n\tmonth = sep,\n\tyear = {2022},\n\tnote = {arXiv:2209.00279 [stat]},\n\tkeywords = {Statistics - Methodology},\n}\n\n

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\n \n\n \n \n \n \n \n \n The association between the incidence of preterm birth and overall air pollution: A nationwide, fine-scale, spatial study in France from 2012 to 2018.\n \n \n \n \n\n\n \n Genin, M.; Lecoeuvre, A.; Cuny, D.; Subtil, D.; Chevalier, G.; Ficheur, G.; Occelli, F.; and Garabedian, C.\n\n\n \n\n\n\n Environmental Pollution, 311: 120013. October 2022.\n \n\n\n\n
\n\n\n\n \n \n $\"The$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{genin_association_2022,\n\ttitle = {The association between the incidence of preterm birth and overall air pollution: {A} nationwide, fine-scale, spatial study in {France} from 2012 to 2018.},\n\tvolume = {311},\n\tissn = {0269-7491},\n\tshorttitle = {The association between the incidence of preterm birth and overall air pollution},\n\turl = {https://www.sciencedirect.com/science/article/pii/S0269749122012271},\n\tdoi = {10.1016/j.envpol.2022.120013},\n\tlanguage = {en},\n\turldate = {2022-08-28},\n\tjournal = {Environmental Pollution},\n\tauthor = {Genin, Michael and Lecoeuvre, Adrien and Cuny, Damien and Subtil, Damien and Chevalier, Geoffroy and Ficheur, Grégoire and Occelli, Florent and Garabedian, Charles},\n\tmonth = oct,\n\tyear = {2022},\n\tpages = {120013},\n}\n\n

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\n \n 2021\n \n \n (5)\n \n \n

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\n \n\n \n \n \n \n \n \n Detecting spatial clusters in functional data: New scan statistic approaches.\n \n \n \n \n\n\n \n Frévent, C.; Ahmed, M.; Marbac, M.; and Genin, M.\n\n\n \n\n\n\n Spatial Statistics, 46: 100550. December 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Detecting$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{frevent_detecting_2021,\n\ttitle = {Detecting spatial clusters in functional data: {New} scan statistic approaches},\n\tvolume = {46},\n\tissn = {2211-6753},\n\tshorttitle = {Detecting spatial clusters in functional data},\n\turl = {https://www.sciencedirect.com/science/article/pii/S2211675321000609},\n\tdoi = {10.1016/j.spasta.2021.100550},\n\tabstract = {We have developed a scan statistic for detecting clusters of functional data indexed in space. The method is based on a distribution-free spatial scan statistic for univariate data. In a simulation study, it always performed better than a nonparametric functional scan statistic. The proposed method can detect smaller spatial clusters than the nonparametric method. Lastly, we used our scan statistic for functional data to search for spatial clusters of abnormal unemployment rates in France over the period 1998–2013 (divided into quarters).},\n\turldate = {2023-12-20},\n\tjournal = {Spatial Statistics},\n\tauthor = {Frévent, Camille and Ahmed, Mohamed-Salem and Marbac, Matthieu and Genin, Michaël},\n\tmonth = dec,\n\tyear = {2021},\n\tkeywords = {Cluster detection, Functional data, Spatial scan statistic},\n\tpages = {100550},\n}\n\n

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\n \n\n \n \n \n \n \n \n Impact of puberty as threshold to differentiate outcome of out-of-hospital cardiac arrest care groups: a nationwide observational study in France.\n \n \n \n \n\n\n \n Privat, E.; Baert, V.; Escutnaire, J.; Dumont, C.; Recher, M.; Genin, M.; Leclerc, F.; Hubert, H.; and Leteurtre, S.\n\n\n \n\n\n\n Emergency Medicine Journal. August 2021.\n Publisher: BMJ Publishing Group Ltd and the British Association for Accident & Emergency Medicine Section: Original research\n\n\n\n
\n\n\n\n \n \n $\"Impact$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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 \n \n \n \n \n \n\n\n\n

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@article{privat_impact_2021,\n\ttitle = {Impact of puberty as threshold to differentiate outcome of out-of-hospital cardiac arrest care groups: a nationwide observational study in {France}},\n\tcopyright = {© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.},\n\tissn = {1472-0205, 1472-0213},\n\tshorttitle = {Impact of puberty as threshold to differentiate outcome of out-of-hospital cardiac arrest care groups},\n\turl = {https://emj.bmj.com/content/early/2021/08/09/emermed-2020-210447},\n\tdoi = {10.1136/emermed-2020-210447},\n\tabstract = {Background Since 2005, the international guidelines for out-of-hospital cardiac arrest (OHCA) use puberty to differentiate paediatric and adult care. This threshold is mainly relied on the more frequent respiratory aetiologies in children. Hitherto, to the best of our knowledge, no study has compared the characteristics and outcomes of non-pubescent children, adolescents and adult patients with OHCA. In this study, we intended to describe the characteristics, outcome and factors associated with survival of patients who experienced OHCA in the three groups: children, adolescents (pubescent{\\textless}18 years) and adults ({\\textless}65 years), to assess the pertinence of the guidelines.\nMethods Data from the French national cardiac arrest registry (2012–2017) were used in this nationwide observational study. Victims of OHCA who were {\\textless}65 years old were included. The characteristics and outcomes of children and adolescents, and adolescents and adults were compared. Logistic regression was performed in each group to identify factors associated with survival at day 30.\nResults We included 934 children, 433 adolescents and 26 952 adults. Respiratory aetiology was more frequent and shockable rhythm less frequent in children compared with adolescents (25.5\\% vs 17.2\\%, p=0.025 and 2.4\\% vs 6.8\\%, p{\\textless}0.001, respectively). However, these differences were not observed between adolescents and adults (17.2\\% vs 14.1\\%, p=0.266 and 6.8\\% vs 10\\%, p=0.055, respectively). Between children and adolescents, and adolescents and adults, there was no significant difference in survival at day 30 (8.6\\%vs 9.8\\% and 9.8\\% vs 8.5\\%, respectively). For all groups, shockable initial rhythm was a factor of survival.\nConclusion Frequency of respiratory aetiologies and shockable rhythm were common in adolescents and adults and different between children and adolescents. These results indicate that puberty as a threshold in international guidelines seems to be relevant.},\n\tlanguage = {en},\n\turldate = {2021-09-01},\n\tjournal = {Emergency Medicine Journal},\n\tauthor = {Privat, Elodie and Baert, Valentine and Escutnaire, Joséphine and Dumont, Cyrielle and Recher, Morgan and Genin, Michael and Leclerc, Francis and Hubert, Hervé and Leteurtre, Stephane},\n\tmonth = aug,\n\tyear = {2021},\n\tpmid = {34373265},\n\tnote = {Publisher: BMJ Publishing Group Ltd and the British Association for Accident \\& Emergency Medicine\nSection: Original research},\n\tkeywords = {Adolescent, Adult, Aged, Cardiopulmonary Resuscitation, Child, Emergency Medical Services, France, Humans, Out-of-Hospital Cardiac Arrest, Puberty, Registries, cardiac arrest, paediatric emergency medicine, paediatrics, prehospital care},\n}\n\n

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\n \n\n \n \n \n \n \n \n Spatial autoregressive models for scan statistic.\n \n \n \n \n\n\n \n Ahmed, M.; Cucala, L.; and Genin, M.\n\n\n \n\n\n\n Journal of Spatial Econometrics, 2(1): 11. November 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Spatial$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{ahmed_spatial_2021,\n\ttitle = {Spatial autoregressive models for scan statistic},\n\tvolume = {2},\n\tissn = {2662-298X},\n\turl = {https://doi.org/10.1007/s43071-021-00017-0},\n\tdoi = {10.1007/s43071-021-00017-0},\n\tabstract = {Spatial scan statistics are well-known methods for cluster detection and are widely used in epidemiology and medical studies for detecting and evaluating the statistical significance of disease hotspots. For the sake of simplicity, the classical spatial scan statistic assumes that the observations of the outcome variable in different locations are independent, while in practice the data may exhibit a spatial correlation. In this article, we use spatial autoregressive (SAR) models to account the spatial correlation in parametric/non-parametric scan statistic. Firstly, the correlation parameter is estimated in the SAR model to transform the outcome into a new independent outcome over all locations. Secondly, we propose an adapted spatial scan statistic based on this independent outcome for cluster detection. A simulation study highlights the better performance of the proposed methods than the classical one in presence of spatial correlation in the data. The latter shows a sharp increase in Type I error and false-positive rate but also decreases the true-positive rate when spatial correlation increases. Besides, our methods retain the Type I error and have stable true and false positive rates with respect to the spatial correlation. The proposed methods are illustrated using a spatial economic dataset of the median income in Paris city. In this application, we show that taking spatial correlation into account leads to the identification of more concentrated clusters than those identified by the classical spatial scan statistic.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2021-11-05},\n\tjournal = {Journal of Spatial Econometrics},\n\tauthor = {Ahmed, Mohamed-Salem and Cucala, Lionel and Genin, Michaël},\n\tmonth = nov,\n\tyear = {2021},\n\tpages = {11},\n}\n\n

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\n \n\n \n \n \n \n \n \n Mapping socio-economic factors for environmental health studies in Wallonia: Transposition of the French Deprivation Index.\n \n \n \n \n\n\n \n Habran, S.; and Genin, M.\n\n\n \n\n\n\n ISEE Conference Abstracts. August 2021.\n \n\n\n\n
\n\n\n\n \n \n $\"Mapping$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{habran_mapping_2021,\n\ttitle = {Mapping socio-economic factors for environmental health studies in {Wallonia}: {Transposition} of the {French} {Deprivation} {Index}},\n\tshorttitle = {Mapping socio-economic factors for environmental health studies in {Wallonia}},\n\turl = {https://ehp.niehs.nih.gov/doi/abs/10.1289/isee.2021.P-399},\n\tdoi = {10.1289/isee.2021.P-399},\n\tabstract = {BACKGROUND AND AIM: Studying social disparities in health implies the ability to\nmeasure them accurately, to compare them between different areas and to follow trends\nover time. Some composite indicators to assess socio-economic factors in Belgium were\ndeveloped in the past, but any update was not performed. Based on the method developed\nfor the social deprivation index in France (the French Deprivation Index, FDep99),\nthis work built a corresponding deprivation index in Wallonia, Belgium. METHODS: The\ndeprivation index, 'WDep', was developed at the municipalities level (the smallest\nadministrative subdivisions of Belgium after the statistical sectors). The Walloon\nregion is divided into 262 municipalities ranging from 6.8 to 215.4 km². The index\nwas built as the first component of a population-weighted principal component analysis\nof four socioeconomic variables from the Belgian databases: (a) the median household\nincome, (b) the proportion of high school graduates in the population aged 15 and\nover, (c) the proportion of blue‐collar workers in the workforce and (d) the unemployment\nrate. The higher the WDep index, the greater the level of deprivation. RESULTS:Maps\nof the WDep index were built for 2015, 2016 and 2017 and showed spatial variability\nthrough the territory. The three maps were highly correlated over time. Results were\ncompared with two past composite indicators in order to check the external validity\nof the WDep in the Walloon context. The WDep was highly correlated to the two past\nindicators. CONCLUSIONS:This work enabled building an easy and robust index, using\nopen and reuse data in order to describe the socio‐economic characteristics for each\nspatial unit and reproduce it yearly. The deprivation index proposed reflects a major\npart of spatial socioeconomic heterogeneity, in a homogeneous manner over the whole\nWalloon region. The index may be routinely used by healthcare authorities to observe,\nanalyse, and manage spatial health inequalities. KEYWORDS: Socio-economic factors,\nSpatial statistics, Non-chemical stressors},\n\tlanguage = {EN},\n\turldate = {2021-09-01},\n\tjournal = {ISEE Conference Abstracts},\n\tauthor = {Habran, Sarah and Genin, Michaël},\n\tmonth = aug,\n\tyear = {2021},\n}\n\n

\n

\n\n\n

\n BACKGROUND AND AIM: Studying social disparities in health implies the ability to measure them accurately, to compare them between different areas and to follow trends over time. Some composite indicators to assess socio-economic factors in Belgium were developed in the past, but any update was not performed. Based on the method developed for the social deprivation index in France (the French Deprivation Index, FDep99), this work built a corresponding deprivation index in Wallonia, Belgium. METHODS: The deprivation index, 'WDep', was developed at the municipalities level (the smallest administrative subdivisions of Belgium after the statistical sectors). The Walloon region is divided into 262 municipalities ranging from 6.8 to 215.4 km². The index was built as the first component of a population-weighted principal component analysis of four socioeconomic variables from the Belgian databases: (a) the median household income, (b) the proportion of high school graduates in the population aged 15 and over, (c) the proportion of blue‐collar workers in the workforce and (d) the unemployment rate. The higher the WDep index, the greater the level of deprivation. RESULTS:Maps of the WDep index were built for 2015, 2016 and 2017 and showed spatial variability through the territory. The three maps were highly correlated over time. Results were compared with two past composite indicators in order to check the external validity of the WDep in the Walloon context. The WDep was highly correlated to the two past indicators. CONCLUSIONS:This work enabled building an easy and robust index, using open and reuse data in order to describe the socio‐economic characteristics for each spatial unit and reproduce it yearly. The deprivation index proposed reflects a major part of spatial socioeconomic heterogeneity, in a homogeneous manner over the whole Walloon region. The index may be routinely used by healthcare authorities to observe, analyse, and manage spatial health inequalities. KEYWORDS: Socio-economic factors, Spatial statistics, Non-chemical stressors\n

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\n \n\n \n \n \n \n \n \n Institutionalization of old demented French adults: Role of the informal carer's degree of kinship.\n \n \n \n \n\n\n \n Huvent-Grelle, D.; Ficheur, G.; Beuscart, J. B.; Genin, M.; Vaudreuil, C.; Boulanger, E.; and Puisieux, F.\n\n\n \n\n\n\n Journal of the American Geriatrics Society, n/a(n/a). 2021.\n _eprint: https://agsjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/jgs.17207\n\n\n\n
\n\n\n\n \n \n $\"Institutionalization$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{huvent-grelle_institutionalization_2021,\n\ttitle = {Institutionalization of old demented {French} adults: {Role} of the informal carer's degree of kinship},\n\tvolume = {n/a},\n\tissn = {1532-5415},\n\tshorttitle = {Institutionalization of old demented {French} adults},\n\turl = {https://agsjournals.onlinelibrary.wiley.com/doi/abs/10.1111/jgs.17207},\n\tdoi = {10.1111/jgs.17207},\n\tabstract = {Background The institutionalization of a patient with Alzheimer's disease or other dementia (ADOD) is the last resort for the latter's family and/or caregivers. We hypothesized that the degree of kinship between the patient and his/her caregiver would influence the likelihood of institutionalization. Objective To assess the association between institutionalization of patients with ADOD and the degree of kinship with the family caregiver. Methods A cross-sectional study of patients with ADOD aged 75 or over attending a memory center in France for the first time between 2011 and 2014, as recorded in the French National Alzheimer Database. Multivariable logistic regression was used to assess factors associated with institutionalization after adjustment for age, sex, the Mini-Mental State Examination score, educational level, and type of dementia. Results A total of 52,874 patients were included. The primary caregiver was most often a child (54.8\\%) or the spouse (36.7\\%). Compared with the “spouse” reference category, all the other caregiver categories were associated with a significantly greater likelihood of institutionalization; the odds ratio [95\\% confidence interval] was 4.68 [3.67–5.92] when the carer was a grandchild, 5.48 [4.93–6.09] for a child, 4.93 [4.11–5.91] for a daughter-/son-in-law, 8.76 [7.15–10.70] for a sibling, and 8.93 [7.48–10.65] for a niece/nephew. Conclusion The likelihood of institutionalization of older patients with ADOD varied with the degree of kinship. Compared with the “spouse” reference category, the likelihood was higher for all other types of caregivers but was especially high when the caregiver was not a direct descendant of the patient.},\n\tlanguage = {en},\n\tnumber = {n/a},\n\turldate = {2021-08-09},\n\tjournal = {Journal of the American Geriatrics Society},\n\tauthor = {Huvent-Grelle, Dominique and Ficheur, Grégoire and Beuscart, Jean Baptiste and Genin, Michaël and Vaudreuil, Claire and Boulanger, Eric and Puisieux, François},\n\tyear = {2021},\n\tnote = {\\_eprint: https://agsjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/jgs.17207},\n\tkeywords = {Alzheimer, family caregiver, institutionalization, old people, risk factor},\n}\n

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\n \n\n \n \n \n \n \n \n Is the survival of patients treated with ipilimumab affected by antibiotics? An analysis of 1585 patients from the French National hospital discharge summary database (PMSI).\n \n \n \n \n\n\n \n Cren, P.; Bertrand, N.; Deley, M. L.; Génin, M.; Mortier, L.; Odou, P.; Penel, N.; and Chazard, E.\n\n\n \n\n\n\n OncoImmunology, 9(1): 1846914. January 2020.\n Publisher: Taylor & Francis _eprint: https://doi.org/10.1080/2162402X.2020.1846914\n\n\n\n
\n\n\n\n \n \n $\"Is$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n \n \n 3 downloads\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

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@article{cren_is_2020,\n\ttitle = {Is the survival of patients treated with ipilimumab affected by antibiotics? {An} analysis of 1585 patients from the {French} {National} hospital discharge summary database ({PMSI})},\n\tvolume = {9},\n\tissn = {null},\n\tshorttitle = {Is the survival of patients treated with ipilimumab affected by antibiotics?},\n\turl = {https://doi.org/10.1080/2162402X.2020.1846914},\n\tdoi = {10.1080/2162402X.2020.1846914},\n\tabstract = {Background: The gut microbiota has a key role in the regulation of the immune system. Disruption of the gut microbiota’s composition by antibiotics might significantly affect the efficacy of immune checkpoint inhibitors. In a study of patients treated with ipilimumab, we sought to assess the relationship between overall survival and in-hospital antibiotic administration. Methods: Patients having been treated with ipilimumab between January 2012 and November 2014 were selected from the French National Hospital Discharge Summary Database. Exposure to antibiotics was defined as the presence of a hospital stay with a documented systemic bacterial infection in the 2 months before or the month after initiation of the patient’s first ever course of ipilimumab. The primary outcome was overall survival. Results: We studied 43,124 hospital stays involving 1585 patients from 97 centers. All patients had received ipilimumab monotherapy for advanced melanoma. Overall, 117 of the 1585 patients (7.4\\%) were documented as having received systemic antibiotic therapy in hospital during the defined exposure period. The median overall survival time was shorter in patients with infection (6.3 months, vs. 15.4 months in patients without an infection; hazard ratio (HR) = 1.88, 95\\% confidence interval [1.46; 2.43], p = 10−6). In a multivariate analysis adjusted for covariates, infection was still significantly associated with overall survival (HR = 1.68, [1.30; 2.18], p = 10−5). Conclusions: In patients treated with ipilimumab for advanced melanoma, infection, and antibiotic administration in hospital at around the time of the patient’s first ever course of ipilimumab appears to be associated with significantly lower clinical benefit.},\n\tnumber = {1},\n\turldate = {2020-11-25},\n\tjournal = {OncoImmunology},\n\tauthor = {Cren, Pierre-Yves and Bertrand, Nicolas and Deley, Marie-Cécile Le and Génin, Michaël and Mortier, Laurent and Odou, Pascal and Penel, Nicolas and Chazard, Emmanuel},\n\tmonth = jan,\n\tyear = {2020},\n\tnote = {Publisher: Taylor \\& Francis\n\\_eprint: https://doi.org/10.1080/2162402X.2020.1846914},\n\tkeywords = {Melanoma, antibiotics, data reuse, gut microbiota, immune checkpoint inhibitor, immunotherapy, infection, ipilimumab},\n\tpages = {1846914},\n}\n\n

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\n \n\n \n \n \n \n \n Partially Linear Spatial Probit Models.\n \n \n \n\n\n \n M.S. Ahmed; S. Dabo-Niang; M. Genin; and A. Hassan\n\n\n \n\n\n\n Annales de l'ISUP, Publications de l’Institut de Statistique de l’Université de Paris, 63(2-3): 71–96. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{ms_ahmed_partially_2020,\n\ttitle = {Partially {Linear} {Spatial} {Probit} {Models}},\n\tvolume = {63},\n\tnumber = {2-3},\n\tjournal = {Annales de l'ISUP, Publications de l’Institut de Statistique de l’Université de Paris},\n\tauthor = {{M.S. Ahmed} and {S. Dabo-Niang} and {M. Genin} and {A. Hassan}},\n\tyear = {2020},\n\tpages = {71--96},\n}\n\n

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\n \n\n \n \n \n \n \n Two dimensional discrete scan statistics with arbitrary window shape.\n \n \n \n\n\n \n A. Amarioarei; M. Genin; and C. Preda\n\n\n \n\n\n\n In Handbook of scan statistics. Springer, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@incollection{a_amarioarei_two_2020,\n\ttitle = {Two dimensional discrete scan statistics with arbitrary window shape},\n\tbooktitle = {Handbook of scan statistics},\n\tpublisher = {Springer},\n\tauthor = {{A. Amarioarei} and {M. Genin} and {C. Preda}},\n\tyear = {2020},\n}\n\n

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\n \n\n \n \n \n \n \n \n Spatial heterogeneity of KRAS mutations in colorectal cancers in northern France.\n \n \n \n \n\n\n \n Turpin, A.; Genin, M.; Hebbar, M.; Occelli, F.; Lanier, C.; Vasseur, F.; Descarpentries, C.; Pannier, D.; and Ploquin, A.\n\n\n \n\n\n\n Cancer Management and Research, 11: 8337–8344. September 2019.\n \n\n\n\n
\n\n\n\n \n \n $\"Spatial$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{turpin_spatial_2019,\n\ttitle = {Spatial heterogeneity of {KRAS} mutations in colorectal cancers in northern {France}},\n\tvolume = {11},\n\tissn = {1179-1322},\n\turl = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6750880/},\n\tdoi = {10.2147/CMAR.S211119},\n\tabstract = {Background\nSomatic mutations in the KRAS gene are the most common oncogenic mutations found in human cancers. However, no clinical features have been linked to KRAS mutations in colorectal cancer [CRC].\n\nPurpose\nIn this study, we attempted to identify the potential geographical population clusters of KRAS mutations in CRC patients in northern France.\n\nPatients and methods\nAll patients with CRC who were identified to have KRAS mutations between 2008 and 2014 at the Regional Molecular Biology Platform at Lille University Hospital were included. 2,486 patients underwent a KRAS status available, with 40.9\\% of CRC with KRAS mutations in northern France. We retrospectively collected demographic and geographic data from these patients. The proportions of KRAS mutation were smoothed to take into account the variability related to low frequencies and spatial autocorrelation. Geographical clusters were searched using spatial scan statistical models.\n\nResults\nA mutation at KRAS codon 12 or 13 was found in 1,018 patients [40.9\\%]. We report 5 clusters of over-incidence but only one elongated cluster that was statistically significant [Cluster 1; proportion of KRAS mutation among CRC: 0.4570; RR=1.29; P=0.0314]. We made an ecological study which did not highlight a significant association between KRAS mutations and the distance to the Closest Waste Incineration Plant, and between KRAS mutations and The French Ecological Deprivation Index but few socio-economic and environmental data were available.\n\nConclusion\nThere was a spatial heterogeneity and a greater frequency of KRAS mutations in some areas close to major highways and big cities in northern France. These data demand deeper epidemiological investigations to identify environmental factors such as air pollution as key factors in the occurrence of KRAS mutations.},\n\turldate = {2023-12-20},\n\tjournal = {Cancer Management and Research},\n\tauthor = {Turpin, Anthony and Genin, Michael and Hebbar, Mohamed and Occelli, Florent and Lanier, Caroline and Vasseur, Francis and Descarpentries, Clotilde and Pannier, Diane and Ploquin, Anne},\n\tmonth = sep,\n\tyear = {2019},\n\tpmid = {31571990},\n\tpmcid = {PMC6750880},\n\tpages = {8337--8344},\n}\n\n

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\n \n\n \n \n \n \n \n \n Automated fetal heart rate analysis for baseline determination and acceleration/deceleration detection: A comparison of 11 methods versus expert consensus.\n \n \n \n \n\n\n \n Houzé de l’Aulnoit , A.; Boudet, S.; Demailly, R.; Delgranche, A.; Génin, M.; Peyrodie, L.; Beuscart, R.; and Houzé de l’Aulnoit , D.\n\n\n \n\n\n\n Biomedical Signal Processing and Control, 49: 113–123. March 2019.\n \n\n\n\n
\n\n\n\n \n \n $\"Automated$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{houze_de_laulnoit_automated_2019,\n\ttitle = {Automated fetal heart rate analysis for baseline determination and acceleration/deceleration detection: {A} comparison of 11 methods versus expert consensus},\n\tvolume = {49},\n\tissn = {1746-8094},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1746809418302659},\n\tdoi = {10.1016/j.bspc.2018.10.002},\n\tabstract = {Background\nThe fetal heart rate (FHR) serves as a guide to fetal well-being during the first stage of delivery. The visual morphological analysis of the FHR during labor is subject to inter- and intra-observer variability – particularly when the FHR is abnormal. It has been suggested that automatic analysis of the FHR can reduce this variability.\nObjectives\nTo compare 11 morphological FHR analyses (baseline computation, and detection of FHR decelerations and accelerations) produced by automatic analysis methods (AAMs) with an expert consensus.\nMaterials and methods\nEleven AAMs were reprogrammed (using the description published in the literature) and applied to 90 FHR recordings collected during the early phase of labor. Furthermore, the recordings were divided into three tertiles, according to the difficulty of analysis. The results of the morphological FHR analyses produced by the AAMs were compared with a consensus morphological analysis performed by four experts. In addition to standard discriminant criteria, a new morphological analysis discriminant index (MADI) was introduced; it provides an overall evaluation that collates all the individual criteria.\nResults\nThe AAM developed by Lu and Wei's gave better results than the other AAMs for baseline computation. Regarding this method's detection of FHR decelerations and accelerations, the F-measure [95\\% confidence interval] was respectively 0.73 [0.67; 0.76] and 0.70 [0.64; 0.76]. The MADI indicated that Lu and Wei's AAM agreed best with the expert consensus (discordance: 7.3\\% [6.10; 8.60]).\nConclusion\nOur study demonstrated the superiority of Lu and Wei's method for baseline computation and deceleration/acceleration detection, although there was still a significant degree of discordance versus expert consensus. The MADI appears to be a good overall index for evaluating AAMs with regard to the quality of baseline computation and acceleration/deceleration detection. The application of precise criteria and the methodology and software tools developed here should facilitate the evaluation of new AAMs and their comparison with other methods.},\n\tjournal = {Biomedical Signal Processing and Control},\n\tauthor = {Houzé de l’Aulnoit, Agathe and Boudet, Samuel and Demailly, Romain and Delgranche, Aline and Génin, Michaël and Peyrodie, Laurent and Beuscart, Régis and Houzé de l’Aulnoit, Denis},\n\tmonth = mar,\n\tyear = {2019},\n\tkeywords = {Automatic analysis, Baseline computation, Expert consensus, FHR, Fetal acidosis, Fetal heart rate},\n\tpages = {113--123},\n}\n\n

\n

\n\n\n

\n Background The fetal heart rate (FHR) serves as a guide to fetal well-being during the first stage of delivery. The visual morphological analysis of the FHR during labor is subject to inter- and intra-observer variability – particularly when the FHR is abnormal. It has been suggested that automatic analysis of the FHR can reduce this variability. Objectives To compare 11 morphological FHR analyses (baseline computation, and detection of FHR decelerations and accelerations) produced by automatic analysis methods (AAMs) with an expert consensus. Materials and methods Eleven AAMs were reprogrammed (using the description published in the literature) and applied to 90 FHR recordings collected during the early phase of labor. Furthermore, the recordings were divided into three tertiles, according to the difficulty of analysis. The results of the morphological FHR analyses produced by the AAMs were compared with a consensus morphological analysis performed by four experts. In addition to standard discriminant criteria, a new morphological analysis discriminant index (MADI) was introduced; it provides an overall evaluation that collates all the individual criteria. Results The AAM developed by Lu and Wei's gave better results than the other AAMs for baseline computation. Regarding this method's detection of FHR decelerations and accelerations, the F-measure [95% confidence interval] was respectively 0.73 [0.67; 0.76] and 0.70 [0.64; 0.76]. The MADI indicated that Lu and Wei's AAM agreed best with the expert consensus (discordance: 7.3% [6.10; 8.60]). Conclusion Our study demonstrated the superiority of Lu and Wei's method for baseline computation and deceleration/acceleration detection, although there was still a significant degree of discordance versus expert consensus. The MADI appears to be a good overall index for evaluating AAMs with regard to the quality of baseline computation and acceleration/deceleration detection. The application of precise criteria and the methodology and software tools developed here should facilitate the evaluation of new AAMs and their comparison with other methods.\n

\n\n\n

\n \n\n \n \n \n \n \n Epidemiology of out-of-hospital cardiac arrest: A French national incidence and mid-term survival rate study.\n \n \n \n\n\n \n Luc, G.; Baert, V.; Escutnaire, J.; Genin, M.; Vilhelm, C.; Di Pompéo, C.; El Khoury, C.; Segal, N.; Wiel, E.; and Adnet, F.\n\n\n \n\n\n\n Anaesthesia Critical Care & Pain Medicine, 38(2): 131–135. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\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

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@article{luc_epidemiology_2019,\n\ttitle = {Epidemiology of out-of-hospital cardiac arrest: {A} {French} national incidence and mid-term survival rate study},\n\tvolume = {38},\n\tnumber = {2},\n\tjournal = {Anaesthesia Critical Care \\& Pain Medicine},\n\tauthor = {Luc, Gérald and Baert, Valentine and Escutnaire, Joséphine and Genin, Michael and Vilhelm, Christian and Di Pompéo, Christophe and El Khoury, Carlos and Segal, Nicolas and Wiel, Eric and Adnet, Frédéric},\n\tyear = {2019},\n\tkeywords = {Cardiac arrest, France, Incidence, Out-of-hospital, Survival},\n\tpages = {131--135},\n}\n\n

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\n \n\n \n \n \n \n \n \n Fine-scale geographical distribution and ecological risk factors for Crohn's disease in France (2007-2014).\n \n \n \n \n\n\n \n Genin, M.; Fumery, M.; Occelli, F.; Savoye, G.; Pariente, B.; Dauchet, L.; Giovannelli, J.; Vignal, C.; Body-Malapel, M.; Sarter, H.; Gower-Rousseau, C.; and Ficheur, G.\n\n\n \n\n\n\n Alimentary Pharmacology & Therapeutics, n/a(n/a). October 2019.\n \n\n\n\n
\n\n\n\n \n \n $\"Fine-scale$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{genin_fine-scale_2019,\n\ttitle = {Fine-scale geographical distribution and ecological risk factors for {Crohn}'s disease in {France} (2007-2014)},\n\tvolume = {n/a},\n\tissn = {0269-2813},\n\turl = {https://doi.org/10.1111/apt.15512},\n\tdoi = {10.1111/apt.15512},\n\tabstract = {Summary Background Geographical variations in Crohn's disease (CD) suggest that the environment has a role in the pathogenesis of this condition. Aims To describe the spatial distribution and the clustering of CD cases in France, and to assess the relationship between the prevalence of CD and environmental risk factors. Methods We identified all patients with CD included in the French hospital discharge database from 2007 to 2014. Age- and gender-smoothed standardised prevalence ratios over this period were computed for 5610 spatial units. An ecological regression analysis was used to assess the relationship between the risk of CD and ecological variables (health care, latitude, socio-economic deprivation, urbanisation, proportion of agricultural surfaces and density of industries). Local spatial clusters of high-CD prevalence were searched for using elliptic spatial scan statistics and characterised in a hierarchical ascendant classification based on the same ecological variables. Results About 129 089 patients with CD were identified, yielding a crude prevalence of 203 per 100 000 inhabitants. The overall spatial heterogeneity was statistically significant (P {\\textless} .001). An elevated risk of CD was found to be significantly associated with high-social deprivation (relative risk [95\\% confidence interval] = 1.05 [1.02-1.08]) and high urbanisation (1.09 [1.04-1.14]). Sixteen significant spatial clusters of high-CD prevalence were identified; there were no common ecological variables. Conclusions The geographical distribution of CD prevalence in France is not uniform, and is associated with high levels of social deprivation and urbanisation. Larger ecological databases integrating more detailed environmental and clinical information are needed.},\n\tnumber = {n/a},\n\turldate = {2019-12-10},\n\tjournal = {Alimentary Pharmacology \\& Therapeutics},\n\tauthor = {Genin, Michaël and Fumery, Mathurin and Occelli, Florent and Savoye, Guillaume and Pariente, Benjamin and Dauchet, Luc and Giovannelli, Jonathan and Vignal, Cécile and Body-Malapel, Mathilde and Sarter, Hélène and Gower-Rousseau, Corinne and Ficheur, Grégoire},\n\tmonth = oct,\n\tyear = {2019},\n}\n\n

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\n \n 2018\n \n \n (2)\n \n \n

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\n \n\n \n \n \n \n \n Secondary Use of Healthcare Structured Data: The Challenge of Domain-Knowledge Based Extraction of Features.\n \n \n \n\n\n \n Chazard, E.; Ficheur, G.; Caron, A.; Lamer, A.; Labreuche, J.; Cuggia, M.; Genin, M.; Bouzille, G.; and Duhamel, A.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 255: 15–19. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{chazard_secondary_2018,\n\ttitle = {Secondary {Use} of {Healthcare} {Structured} {Data}: {The} {Challenge} of {Domain}-{Knowledge} {Based} {Extraction} of {Features}},\n\tvolume = {255},\n\tissn = {1879-8365},\n\tshorttitle = {Secondary {Use} of {Healthcare} {Structured} {Data}},\n\tabstract = {Secondary use of clinical structured data takes an important place in healthcare research. It was first described by Fayyad as "knowledge discovery in databases". Feature extraction is an important phase but received little attention. The objectives of this paper are: 1) to propose an updated representation of data reuse in healthcare, 2) to illustrate methods and objectives of feature extraction, and 3) to discuss the place of domain-specific knowledge.\nMATERIAL AND METHODS: an updated representation is proposed. Then, a case study consists of automatically identifying acute renal failure and discovering risk factors, by secondary use of structured data. Finally, a literature review published par Meystre et al. is analyzed.\nRESULTS: 1) we propose a description of data reuse in 5 phases. Phase 1 is data preprocessing (cleansing, linkage, terminological alignment, unit conversions, deidentification), it enables to construct a data warehouse. Phase 2 is feature extraction. Phase 3 is statistical and graphical mining. Phase 4 consists of expert filtering and reorganization of statistical results. Phase 5 is decision making. 2) The case study illustrates how time-dependent features can be extracted from laboratory results and drug administrations, using domain-specific knowledge. 3) Among the 200 papers cited by Meystre et al., the first and last authors were affiliated to health institutions in 74\\% (68\\% for methodological papers, and 79\\% for applied papers).\nDISCUSSION: features extraction has a major impact on success of data reuse. Specific knowledge-based reasoning takes an important place in feature extraction, which requires tight collaboration between computer scientists, statisticians, and health professionals.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Chazard, Emmanuel and Ficheur, Grégoire and Caron, Alexandre and Lamer, Antoine and Labreuche, Julien and Cuggia, Marc and Genin, Michaël and Bouzille, Guillaume and Duhamel, Alain},\n\tyear = {2018},\n\tpmid = {30306898},\n\tkeywords = {Data Analysis, Data reuse, Databases, Factual, Delivery of Health Care, data transformation, feature extraction},\n\tpages = {15--19},\n}\n\n

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\n \n\n \n \n \n \n \n Socioeconomic status and incidence of cardiac arrest: a spatial approach to social and territorial disparities.\n \n \n \n\n\n \n Castra, L.; Genin, M.; Escutnaire, J.; Baert, V.; Agostinucci, J.; Revaux, F.; Ursat, C.; Tazarourte, K.; Adnet, F.; and Hubert, H.\n\n\n \n\n\n\n European Journal of Emergency Medicine: Official Journal of the European Society for Emergency Medicine. January 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{castra_socioeconomic_2018,\n\ttitle = {Socioeconomic status and incidence of cardiac arrest: a spatial approach to social and territorial disparities},\n\tissn = {1473-5695},\n\tshorttitle = {Socioeconomic status and incidence of cardiac arrest},\n\tdoi = {10.1097/MEJ.0000000000000534},\n\tabstract = {OBJECTIVE: Cardiac arrest (CA) is considered a major public health issue. Few studies have focused on geographic variations in incidence and socioeconomic characteristics. The aim of this study is to identify clusters of municipalities with high or low CA incidence, and find socioeconomic factors associated with them.\nPATIENTS AND METHODS: CA data from three Parisian counties, representing 123 municipalities, were extracted from the French CA registry. Socioeconomic data for each municipality were collected from the French national institute of statistics. We used a statistical approach combining Bayesian methods to study geographical CA incidence variations, and scan statistics, to identify CA incidence clusters of municipalities. Finally, we compared clusters of municipalities in terms of socioeconomic factors.\nRESULTS: Strong geographical variations were found among 123 municipalities: 34 presented a significantly increased risk of incidence and 37 presented a significantly low risk. Scan statistics identified seven significant spatial clusters of CA incidence, including three clusters with low incidence (the relative risk varied from 0.23 to 0.54) and four clusters with high incidence (the relative risk varied from 1.43 to 2). Clusters of municipalities with a high CA incidence are characterized by a lower socioeconomic status than the others (low and normal CA incidence clusters). Analysis showed a statistically significant relationship between social deprivation factors and high incidence.\nCONCLUSION: This study shows strong geographical variations in CA incidence and a statistically significant relationship between over-incidence and social deprivation variables.},\n\tlanguage = {eng},\n\tjournal = {European Journal of Emergency Medicine: Official Journal of the European Society for Emergency Medicine},\n\tauthor = {Castra, Laurent and Genin, Michael and Escutnaire, Joséphine and Baert, Valentine and Agostinucci, Jean-Marc and Revaux, François and Ursat, Cécile and Tazarourte, Karim and Adnet, Frédéric and Hubert, Hervé},\n\tmonth = jan,\n\tyear = {2018},\n\tpmid = {29303842},\n}\n\n

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\n \n 2017\n \n \n (3)\n \n \n

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\n \n\n \n \n \n \n \n A multivariate Gaussian scan statistic for spatial data.\n \n \n \n\n\n \n Cucala, L.; Genin, M.; Lanier, C.; and Occelli, F.\n\n\n \n\n\n\n Spatial Statistics, 21: 66–74. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{cucala_multivariate_2017,\n\ttitle = {A multivariate {Gaussian} scan statistic for spatial data},\n\tvolume = {21},\n\tjournal = {Spatial Statistics},\n\tauthor = {Cucala, Lionel and Genin, Michaël and Lanier, Caroline and Occelli, Florent},\n\tyear = {2017},\n\tpages = {66--74},\n}\n\n

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\n \n\n \n \n \n \n \n \n Potentially inappropriate medication prescribing is associated with socioeconomic factors: a spatial analysis in the French Nord-Pas-de-Calais Region.\n \n \n \n \n\n\n \n Beuscart, J.; Genin, M.; Dupont, C.; Verloop, D.; Duhamel, A.; Defebvre, M.; and Puisieux, F.\n\n\n \n\n\n\n Age and Ageing, 46(4): 607–613. July 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"Potentially$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{beuscart_potentially_2017,\n\ttitle = {Potentially inappropriate medication prescribing is associated with socioeconomic factors: a spatial analysis in the {French} {Nord}-{Pas}-de-{Calais} {Region}},\n\tvolume = {46},\n\tissn = {0002-0729},\n\tshorttitle = {Potentially inappropriate medication prescribing is associated with socioeconomic factors},\n\turl = {https://academic.oup.com/ageing/article/46/4/607/2863853},\n\tdoi = {10.1093/ageing/afw245},\n\tabstract = {AbstractBackground.  potentially inappropriate medication (PIM) prescribing is common in older people and leads to adverse events and hospital admissions.Object},\n\tlanguage = {en},\n\tnumber = {4},\n\turldate = {2018-12-16},\n\tjournal = {Age and Ageing},\n\tauthor = {Beuscart, Jean-Baptiste and Genin, Michael and Dupont, Corrine and Verloop, David and Duhamel, Alain and Defebvre, Marguerite-Marie and Puisieux, François},\n\tmonth = jul,\n\tyear = {2017},\n\tkeywords = {inappropriate prescribing, older people, pharmacoepidemiology, scan statistics},\n\tpages = {607--613},\n}\n\n

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\n \n\n \n \n \n \n \n \n A generic method for improving the spatial interoperability of medical and ecological databases.\n \n \n \n \n\n\n \n Ghenassia, A.; Beuscart, J. B.; Ficheur, G.; Occelli, F.; Babykina, E.; Chazard, E.; and Genin, M.\n\n\n \n\n\n\n International Journal of Health Geographics, 16(1): 36. December 2017.\n \n\n\n\n
\n\n\n\n \n \n $\"A$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{ghenassia_generic_2017,\n\ttitle = {A generic method for improving the spatial interoperability of medical and ecological databases},\n\tvolume = {16},\n\tissn = {1476-072X},\n\turl = {http://ij-healthgeographics.biomedcentral.com/articles/10.1186/s12942-017-0109-5},\n\tdoi = {10.1186/s12942-017-0109-5},\n\tabstract = {Background:  The availability of big data in healthcare and the intensive development of data reuse and georeferencing have opened up perspectives for health spatial analysis. However, fine-scale spatial studies of ecological and medical databases are limited by the change of support problem and thus a lack of spatial unit interoperability. The use of spatial disaggregation methods to solve this problem introduces errors into the spatial estimations. Here, we present a generic, two-step method for merging medical and ecological databases that avoids the use of spatial disaggregation methods, while maximizing the spatial resolution.\nMethods:  Firstly, a mapping table is created after one or more transition matrices have been defined. The latter link the spatial units of the original databases to the spatial units of the final database. Secondly, the mapping table is validated by (1) comparing the covariates contained in the two original databases, and (2) checking the spatial validity with a spatial continuity criterion and a spatial resolution index.\nResults:  We used our novel method to merge a medical database (the French national diagnosis-related group database, containing 5644 spatial units) with an ecological database (produced by the French National Institute of Statistics and Economic Studies, and containing with 36,594 spatial units). The mapping table yielded 5632 final spatial units. The mapping table’s validity was evaluated by comparing the number of births in the medical database and the ecological databases in each final spatial unit. The median [interquartile range] relative difference was 2.3\\% [0; 5.7]. The spatial continuity criterion was low (2.4\\%), and the spatial resolution index was greater than for most French administrative areas.\nConclusions:  Our innovative approach improves interoperability between medical and ecological databases and facilitates fine-scale spatial analyses. We have shown that disaggregation models and large aggregation techniques are not necessarily the best ways to tackle the change of support problem.},\n\tlanguage = {en},\n\tnumber = {1},\n\turldate = {2023-06-13},\n\tjournal = {International Journal of Health Geographics},\n\tauthor = {Ghenassia, A. and Beuscart, J. B. and Ficheur, G. and Occelli, F. and Babykina, E. and Chazard, E. and Genin, M.},\n\tmonth = dec,\n\tyear = {2017},\n\tpages = {36},\n}\n\n

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\n\n\n

\n Background: The availability of big data in healthcare and the intensive development of data reuse and georeferencing have opened up perspectives for health spatial analysis. However, fine-scale spatial studies of ecological and medical databases are limited by the change of support problem and thus a lack of spatial unit interoperability. The use of spatial disaggregation methods to solve this problem introduces errors into the spatial estimations. Here, we present a generic, two-step method for merging medical and ecological databases that avoids the use of spatial disaggregation methods, while maximizing the spatial resolution. Methods: Firstly, a mapping table is created after one or more transition matrices have been defined. The latter link the spatial units of the original databases to the spatial units of the final database. Secondly, the mapping table is validated by (1) comparing the covariates contained in the two original databases, and (2) checking the spatial validity with a spatial continuity criterion and a spatial resolution index. Results: We used our novel method to merge a medical database (the French national diagnosis-related group database, containing 5644 spatial units) with an ecological database (produced by the French National Institute of Statistics and Economic Studies, and containing with 36,594 spatial units). The mapping table yielded 5632 final spatial units. The mapping table’s validity was evaluated by comparing the number of births in the medical database and the ecological databases in each final spatial unit. The median [interquartile range] relative difference was 2.3% [0; 5.7]. The spatial continuity criterion was low (2.4%), and the spatial resolution index was greater than for most French administrative areas. Conclusions: Our innovative approach improves interoperability between medical and ecological databases and facilitates fine-scale spatial analyses. We have shown that disaggregation models and large aggregation techniques are not necessarily the best ways to tackle the change of support problem.\n

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\n \n 2016\n \n \n (1)\n \n \n

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\n \n\n \n \n \n \n \n Highlighting of Epidemic Areas of Crohn's Disease in a Population-Based Registry Over 22 Years: Genetic or Environmental Cause?.\n \n \n \n\n\n \n Genin, M.; Vignal, C.; Vasseur, F.; Fumery, M.; Savoye, G.; Body-Malapel, M.; Preda, C.; Sarter, H.; Peyrin-Biroulet, L.; and Desreumaux, P.\n\n\n \n\n\n\n Gastroenterology, 150(4): S785–S786. 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{genin_highlighting_2016,\n\ttitle = {Highlighting of {Epidemic} {Areas} of {Crohn}'s {Disease} in a {Population}-{Based} {Registry} {Over} 22 {Years}: {Genetic} or {Environmental} {Cause}?},\n\tvolume = {150},\n\tnumber = {4},\n\tjournal = {Gastroenterology},\n\tauthor = {Genin, Michael and Vignal, Cecile and Vasseur, Francis and Fumery, Mathurin and Savoye, Guillaume and Body-Malapel, Mathilde and Preda, Cristian and Sarter, Hélène and Peyrin-Biroulet, Laurent and Desreumaux, Pierre},\n\tyear = {2016},\n\tpages = {S785--S786},\n}\n\n

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\n \n 2015\n \n \n (4)\n \n \n

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\n \n\n \n \n \n \n \n \n Lay Theories on the Role of Biomedicalization in the Exclusion of Depressed People.\n \n \n \n \n\n\n \n Askevis-Leherpeux, F.; Crétin, A.; Genin, M.; Schiaratura, L. T.; and Hofer, B.\n\n\n \n\n\n\n Journal of Social and Clinical Psychology, 34(4): 290–303. April 2015.\n \n\n\n\n
\n\n\n\n \n \n $\"Lay$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{askevis-leherpeux_lay_2015,\n\ttitle = {Lay {Theories} on the {Role} of {Biomedicalization} in the {Exclusion} of {Depressed} {People}},\n\tvolume = {34},\n\tissn = {0736-7236},\n\turl = {https://guilfordjournals.com/doi/abs/10.1521/jscp.2015.34.4.290},\n\tdoi = {10.1521/jscp.2015.34.4.290},\n\tabstract = {This study examined lay theories about the relationship between biomedicalization and the exclusion of depressed people. More precisely, lay theories were examined under the two dominant models which predict that attribution of mental illness to biomedical causes should reduce perceived responsibility and either decrease (attribution theory) or increase (medical model) perceived exclusion of depressed people.The goal was also to assess the impact of three factors most often disregarded from both models, namely, type of responsibility (mental state vs. behaviors), life domain (family vs. occupational environment) and familiarity (contact vs. personal experience).Analysis of data from a representative survey conducted in the Nord Pas de Calais French region (n = 12,533) showed that contact and personal experience have opposite effects on perceived exclusion and that lay theories differed as a function of type of responsibility. The role of ascribed responsibility for behaviors did not depend on life domain and was consistent with the medical model. On the contrary, the role of responsibility for mental state was limited to exclusion from family and in line with attribution theory. Future research should examine more thoroughly the role of the different kinds of biomedical explanations in relation with both types of responsibility.},\n\tnumber = {4},\n\turldate = {2018-12-16},\n\tjournal = {Journal of Social and Clinical Psychology},\n\tauthor = {Askevis-Leherpeux, Françoise and Crétin, Aurore and Genin, Michaël and Schiaratura, Loris T. and Hofer, Brian},\n\tmonth = apr,\n\tyear = {2015},\n\tpages = {290--303},\n}\n\n

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\n \n\n \n \n \n \n \n \n Mortality of people suffering from mental illness: a study of a cohort of patients hospitalised in psychiatry in the North of France.\n \n \n \n \n\n\n \n Charrel, C.; Plancke, L.; Genin, M.; Defromont, L.; Ducrocq, F.; Vaiva, G.; and Danel, T.\n\n\n \n\n\n\n Social Psychiatry and Psychiatric Epidemiology, 50(2): 269–277. February 2015.\n \n\n\n\n
\n\n\n\n \n \n $\"Mortality$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{charrel_mortality_2015,\n\ttitle = {Mortality of people suffering from mental illness: a study of a cohort of patients hospitalised in psychiatry in the {North} of {France}},\n\tvolume = {50},\n\tissn = {1433-9285},\n\tshorttitle = {Mortality of people suffering from mental illness},\n\turl = {https://doi.org/10.1007/s00127-014-0913-1},\n\tdoi = {10.1007/s00127-014-0913-1},\n\tabstract = {Background The mortality of people suffering from psychiatric illnesses is far higher than that of the general population, all categories of diagnosis combined; mortality statistics can be used as an index of quality of care. The aim of this study was to assess the all-cause mortality in psychiatric patients covering all diagnostic groups.MethodsThe living or deceased status of 4,417 patients of majority age hospitalised in a public mental health establishment between 2004 and 2007 were requested from French National Institute for Statistics and Economic Studies on 1st January 2011. The cause of death of those people who had died was obtained from French National Institute for Health and Medical Research and comparative standardized mortality ratios (SMR) were established from the population in a region of northern France of the same age in 2006.ResultsThe study population was made up of 54 \\% men and 46 \\% women, median age 41 and 45 years old, respectively. Four hundred and seventy-three people died during the period studied. The SMR were 421 for men (95 \\% CI 378–470) and 330 for women (95 \\% CI 281–388). The highest SMRs were found in patients aged 35–54, with a 20-time higher mortality risk than the general population of the same age.ConclusionOur study confirms the considerably higher mortality in psychiatric patients than in general population, particularly in mean age and mostly due to an unnatural cause.},\n\tlanguage = {en},\n\tnumber = {2},\n\turldate = {2018-12-16},\n\tjournal = {Social Psychiatry and Psychiatric Epidemiology},\n\tauthor = {Charrel, Claire-Lise and Plancke, Laurent and Genin, Michaël and Defromont, Laurent and Ducrocq, François and Vaiva, Guillaume and Danel, Thierry},\n\tmonth = feb,\n\tyear = {2015},\n\tkeywords = {Causes of death, Excess mortality, Mental illness, SMR},\n\tpages = {269--277},\n}\n\n

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\n \n\n \n \n \n \n \n Discrete scan statistics and generalized likelihood ratio test.\n \n \n \n\n\n \n Genin, M.\n\n\n \n\n\n\n Romanian Journal of Pure and Applied Mathematics, 60(1): 83–92. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{genin_discrete_2015,\n\ttitle = {Discrete scan statistics and generalized likelihood ratio test},\n\tvolume = {60},\n\tshorttitle = {Discrete scan statistics and generalized likelihood ratio test},\n\tnumber = {1},\n\tjournal = {Romanian Journal of Pure and Applied Mathematics},\n\tauthor = {Genin, M.},\n\tyear = {2015},\n\tpages = {83--92},\n}\n\n

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\n \n\n \n \n \n \n \n \n Osseous and dental outcomes of primary gingivoperiosteoplasty with iliac bone graft: A radiological evaluation.\n \n \n \n \n\n\n \n Touzet-Roumazeille, S.; Vi-Fane, B.; Kadlub, N.; Genin, M.; Dissaux, C.; Raoul, G.; Ferri, J.; Vazquez, M.; and Picard, A.\n\n\n \n\n\n\n Journal of Cranio-Maxillofacial Surgery, 43(6): 950–955. July 2015.\n \n\n\n\n
\n\n\n\n \n \n $\"Osseous$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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

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@article{touzet-roumazeille_osseous_2015,\n\ttitle = {Osseous and dental outcomes of primary gingivoperiosteoplasty with iliac bone graft: {A} radiological evaluation},\n\tvolume = {43},\n\tissn = {1010-5182},\n\tshorttitle = {Osseous and dental outcomes of primary gingivoperiosteoplasty with iliac bone graft},\n\turl = {http://www.sciencedirect.com/science/article/pii/S1010518215000815},\n\tdoi = {10.1016/j.jcms.2015.03.027},\n\tabstract = {Primary alveolar cleft repair has two main purposes: to restore normal morphology and normal function. Gingivoperiosteoplasty with bone grafting in mixed dentition has been a well-established procedure. We hypothesized that 1) performance of this surgery in deciduous dentition would provide favorable bone graft osseointegration, and 2) would improve the support of incisor teeth eruption, thereby avoiding maxillary growth disturbances. We conducted a retrospective study of clinical and tridimensional radiological data for 73 patients with alveolar clefts (with or without lip and palate clefts) who underwent gingivoperiosteoplasty with iliac bone graft in deciduous dentition. Pre- and post-operative Cone Beam Computed Tomography (CBCT) comparison allowed evaluation of the ratio between bone graft volume and initial cleft volume (BGV/ICV ratio), and measurement of central incisor teeth movements. This series of 73 patients included 44 males and 29 females, with a mean age of 5.5 years. Few complications were observed. Post-operative CBCT was performed at 7.4 months. The mean BGV/ICV ratio was 0.62. Axial rotation was significantly improved post-operatively (p = 0.004). Gingivoperiosteoplasty with iliac bone graft is safe when performed in deciduous dentition and results in a sufficient bone graft volume to support lateral incisor eruption and upper central incisor tooth position improvement.},\n\tnumber = {6},\n\turldate = {2018-12-16},\n\tjournal = {Journal of Cranio-Maxillofacial Surgery},\n\tauthor = {Touzet-Roumazeille, Sandrine and Vi-Fane, Brigitte and Kadlub, Natacha and Genin, Michaël and Dissaux, Caroline and Raoul, Gwenaël and Ferri, Joël and Vazquez, Marie-Paule and Picard, Arnaud},\n\tmonth = jul,\n\tyear = {2015},\n\tkeywords = {Alveolar bone grafting, Cleft lip with or without cleft palate, Cone-beam computed tomography, Three-dimensional imaging},\n\tpages = {950--955},\n}\n\n

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\n \n 2014\n \n \n (3)\n \n \n

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\n \n\n \n \n \n \n \n A spatial cluster detection of chronic kidney disease: relation to deprivation at small scale.\n \n \n \n\n\n \n Occelli, F.; Genin, M.; Deram, A.; Glowacki, F.; and Cuny, D.\n\n\n \n\n\n\n Nephrology dialysis transplantation, 29: 129–129. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{occelli_spatial_2014,\n\ttitle = {A spatial cluster detection of chronic kidney disease: relation to deprivation at small scale},\n\tvolume = {29},\n\tjournal = {Nephrology dialysis transplantation},\n\tauthor = {Occelli, Florent and Genin, Michael and Deram, Annabelle and Glowacki, Francois and Cuny, Damien},\n\tyear = {2014},\n\tpages = {129--129},\n}\n\n

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\n \n\n \n \n \n \n \n Outpatient management of primary spontaneous pneumothorax: a prospective study.\n \n \n \n\n\n \n Massongo, M.; Leroy, S.; Scherpereel, A.; Vaniet, F.; Dhalluin, X.; Chahine, B.; Sanfiorenzo, C.; Genin, M.; and Marquette, C.\n\n\n \n\n\n\n European Respiratory Journal, 43(2): 582–590. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{massongo_outpatient_2014,\n\ttitle = {Outpatient management of primary spontaneous pneumothorax: a prospective study},\n\tvolume = {43},\n\tnumber = {2},\n\tjournal = {European Respiratory Journal},\n\tauthor = {Massongo, Massongo and Leroy, Sylvie and Scherpereel, Arnaud and Vaniet, Fabien and Dhalluin, Xavier and Chahine, Bachar and Sanfiorenzo, Céline and Genin, Michaël and Marquette, Charles-Hugo},\n\tyear = {2014},\n\tpages = {582--590},\n}\n\n

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\n \n\n \n \n \n \n \n \n Mapping End-Stage Renal Disease (ESRD): Spatial Variations on Small Area Level in Northern France, and Association with Deprivation.\n \n \n \n \n\n\n \n Occelli, F.; Deram, A.; Génin, M.; Noël, C.; Cuny, D.; Glowacki, F.; and Network, o. b. o. t. N.\n\n\n \n\n\n\n PLOS ONE, 9(11): e110132. November 2014.\n \n\n\n\n
\n\n\n\n \n \n $\"Mapping$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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 \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\n\n\n

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@article{occelli_mapping_2014,\n\ttitle = {Mapping {End}-{Stage} {Renal} {Disease} ({ESRD}): {Spatial} {Variations} on {Small} {Area} {Level} in {Northern} {France}, and {Association} with {Deprivation}},\n\tvolume = {9},\n\tissn = {1932-6203},\n\tshorttitle = {Mapping {End}-{Stage} {Renal} {Disease} ({ESRD})},\n\turl = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0110132},\n\tdoi = {10.1371/journal.pone.0110132},\n\tabstract = {Background Strong geographic variations in the incidence of end-stage renal disease (ESRD) are observed in developed countries. The reasons for these variations are unknown. They may reflect regional inequalities in the population's sociodemographic characteristics, related diseases, or medical practice patterns. In France, at the district level, the highest incidence rates have been found in the Nord-Pas-de-Calais region. This area, with a high population density and homogeneous healthcare provision, represents a geographic situation which is quite suitable for the study, over small areas, of spatial disparities in the incidence of ESRD, together with their correlation with a deprivation index and other risk factors. Methods The Renal Epidemiology and Information Network is a national registry, which lists all ESRD patients in France. All cases included in the Nord-Pas-de-Calais registry between 2005 and 2011 were extracted. Adjusted and smoothed standardized incidence ratio (SIR) was calculated for each of the 170 cantons, thanks to a hierarchical Bayesian model. The correlation between ESRD incidence and deprivation was assessed using the quintiles of Townsend index. Relative risk (RR) and credible intervals (CI) were estimated for each quintile. Results Significant spatial disparities in ESRD incidence were found within the Nord-Pas-de-Calais region. The sex- and age-adjusted, smoothed SIRs varied from 0.66 to 1.64. Although no correlation is found with diabetic or vascular nephropathy, the smoothed SIRs are correlated with the Townsend index (RR: 1.18, 95\\% CI [1.00–1.34] for Q2; 1.28, 95\\% CI [1.11–1.47] for Q3; 1.30, 95\\% CI [1.14–1.51] for Q4; 1.44, 95\\% CI [1.32–1.74] for Q5). Conclusion For the first time at this aggregation level in France, this study reveals significant geographic differences in ESRD incidence. Unlike the time of renal replacement care, deprivation is certainly a determinant in this phenomenon. This association is probably independent of the patients' financial ability to gain access to healthcare.},\n\tlanguage = {en},\n\tnumber = {11},\n\turldate = {2018-12-16},\n\tjournal = {PLOS ONE},\n\tauthor = {Occelli, Florent and Deram, Annabelle and Génin, Michaël and Noël, Christian and Cuny, Damien and Glowacki, François and Network, on behalf of the Néphronor},\n\tmonth = nov,\n\tyear = {2014},\n\tkeywords = {Adolescent, Adult, Aged, Aged, 80 and over, Census, Child, Child, Preschool, Chronic kidney disease, Diabetes mellitus, Economic analysis, Female, France, Geoinformatics, Humans, Incidence, Infant, Infant, Newborn, Kidney Failure, Chronic, Male, Medical dialysis, Middle Aged, Nephrology, Registries, Risk Factors, Spatial Analysis, Topography, Medical, Young Adult},\n\tpages = {e110132},\n}\n\n

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\n\n\n

\n Background Strong geographic variations in the incidence of end-stage renal disease (ESRD) are observed in developed countries. The reasons for these variations are unknown. They may reflect regional inequalities in the population's sociodemographic characteristics, related diseases, or medical practice patterns. In France, at the district level, the highest incidence rates have been found in the Nord-Pas-de-Calais region. This area, with a high population density and homogeneous healthcare provision, represents a geographic situation which is quite suitable for the study, over small areas, of spatial disparities in the incidence of ESRD, together with their correlation with a deprivation index and other risk factors. Methods The Renal Epidemiology and Information Network is a national registry, which lists all ESRD patients in France. All cases included in the Nord-Pas-de-Calais registry between 2005 and 2011 were extracted. Adjusted and smoothed standardized incidence ratio (SIR) was calculated for each of the 170 cantons, thanks to a hierarchical Bayesian model. The correlation between ESRD incidence and deprivation was assessed using the quintiles of Townsend index. Relative risk (RR) and credible intervals (CI) were estimated for each quintile. Results Significant spatial disparities in ESRD incidence were found within the Nord-Pas-de-Calais region. The sex- and age-adjusted, smoothed SIRs varied from 0.66 to 1.64. Although no correlation is found with diabetic or vascular nephropathy, the smoothed SIRs are correlated with the Townsend index (RR: 1.18, 95% CI [1.00–1.34] for Q2; 1.28, 95% CI [1.11–1.47] for Q3; 1.30, 95% CI [1.14–1.51] for Q4; 1.44, 95% CI [1.32–1.74] for Q5). Conclusion For the first time at this aggregation level in France, this study reveals significant geographic differences in ESRD incidence. Unlike the time of renal replacement care, deprivation is certainly a determinant in this phenomenon. This association is probably independent of the patients' financial ability to gain access to healthcare.\n

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\n \n 2013\n \n \n (4)\n \n \n

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\n \n\n \n \n \n \n \n Bio-médicalisation de la maladie mentale et perception d'exclusion des personnes souffrant de troubles psychiatriques.\n \n \n \n\n\n \n Askevis-Leherpeux, F.; Schiaratura, L. T.; and Genin, M.\n\n\n \n\n\n\n Revue internationale de psychologie sociale, 26(2): 127–141. 2013.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{askevis-leherpeux_bio-medicalisation_2013,\n\ttitle = {Bio-médicalisation de la maladie mentale et perception d'exclusion des personnes souffrant de troubles psychiatriques},\n\tvolume = {26},\n\tnumber = {2},\n\tjournal = {Revue internationale de psychologie sociale},\n\tauthor = {Askevis-Leherpeux, Françoise and Schiaratura, Loris Tamara and Genin, Michaël},\n\tyear = {2013},\n\tpages = {127--141},\n}\n\n

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\n \n\n \n \n \n \n \n Space-time clusters of Crohn’s disease in northern France.\n \n \n \n\n\n \n Genin, M.; Duhamel, A.; Preda, C.; Fumery, M.; Savoye, G.; Peyrin-Biroulet, L.; Salleron, J.; Lerebours, E.; Vasseur, F.; and Cortot, A.\n\n\n \n\n\n\n Journal of Public Health, 21(6): 497–504. 2013.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n \n \n\n bibtex\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

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@article{genin_space-time_2013,\n\ttitle = {Space-time clusters of {Crohn}’s disease in northern {France}},\n\tvolume = {21},\n\tnumber = {6},\n\tjournal = {Journal of Public Health},\n\tauthor = {Genin, Michael and Duhamel, Alain and Preda, Cristian and Fumery, Mathurin and Savoye, Guillaume and Peyrin-Biroulet, Laurent and Salleron, Julia and Lerebours, Eric and Vasseur, Francis and Cortot, Antoine},\n\tyear = {2013},\n\tkeywords = {Cluster analysis, Crohn’s disease, Monte Carlo method, Scan statistic, Space-time clustering},\n\tpages = {497--504},\n}\n\n

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\n \n\n \n \n \n \n \n \n [Determine the patient's position towards psychiatric care: a simple tool to estimate the alliance and the motivation].\n \n \n \n \n\n\n \n Versaevel, C.; Samama, D.; Jeanson, R.; Lajugie, C.; Dufeutrel, L.; Defromont, L.; Lebouteiller, V.; Danel, T.; Duhamel, A.; Genin, M.; Salleron, J.; and Cottencin, O.\n\n\n \n\n\n\n L'Encephale, 39(4): 284–291. September 2013.\n \n\n\n\n
\n\n\n\n \n \n $\"[Determine$ Paper\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n

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@article{versaevel_determine_2013,\n\ttitle = {[{Determine} the patient's position towards psychiatric care: a simple tool to estimate the alliance and the motivation].},\n\tvolume = {39},\n\tissn = {0013-7006},\n\tshorttitle = {[{Determine} the patient's position towards psychiatric care},\n\turl = {http://europepmc.org/abstract/med/23537638},\n\tdoi = {10.1016/j.encep.2012.11.010},\n\tabstract = {Abstract: OBJECTIVES: For the brief systemic therapy (BST), the evaluation of the patient's position towards the care is a prerequisite to psychotherapy....},\n\tlanguage = {fre},\n\tnumber = {4},\n\turldate = {2018-12-16},\n\tjournal = {L'Encephale},\n\tauthor = {Versaevel, C. and Samama, D. and Jeanson, R. and Lajugie, C. and Dufeutrel, L. and Defromont, L. and Lebouteiller, V. and Danel, T. and Duhamel, A. and Genin, M. and Salleron, J. and Cottencin, O.},\n\tmonth = sep,\n\tyear = {2013},\n\tpmid = {23537638},\n\tpages = {284--291},\n}\n\n

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\n \n\n \n \n \n \n \n \n Statistiques de scan : théorie et application à l'épidémiologie.\n \n \n \n \n\n\n \n Genin, M.\n\n\n \n\n\n\n Ph.D. Thesis, Lille 2, December 2013.\n \n\n\n\n
\n\n\n\n \n \n $\"Statistiques$ Paper\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \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\n

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@phdthesis{genin_statistiques_2013,\n\ttype = {These de doctorat},\n\ttitle = {Statistiques de scan : théorie et application à l'épidémiologie},\n\tcopyright = {Licence Etalab},\n\tshorttitle = {Statistiques de scan},\n\turl = {https://www.theses.fr/2013LIL2S029},\n\tabstract = {La notion de cluster désigne l'agrégation dans le temps et/ou l'espace d'évènements. Dans de nombreux domaines, les experts observent certaines agrégations d'évènements et la question se pose de savoir si ces agrégations peuvent être considérées comme normales (le fruit du hasard) ou non. D'un point de vue probabiliste, la normalité peut être décrite par une hypothèse nulle de répartition aléatoire des évènements. La détection de clusters d'évènements est un domaine de la statistique qui s'est particulièrement étendu au cours des dernières décennies. En premier lieu, la communauté scientifique s'est attachée à développer des méthodes dans le cadre unidimensionnel (ex : le temps) puis, par la suite, a étendu ces méthodes au cas multidimensionnel, et notamment bidimensionnel (l'espace). Parmi l'ensemble des méthodes de détection de clusters d'évènements, trois grands types de tests peuvent être distingués. Le premier concerne les tests globaux qui permettent de détecter une tendance globale à l'agrégation, sans pour autant localiser les clusters éventuels. Le deuxième type correspond aux tests focalisés qui sont utilisés lorsque des connaissances a priori permettent de définir un point source (date ou localisation spatiale) et de tester l'agrégation autour de ce dernier. Le troisième type englobe les tests de détection de cluster (ou sans point source défini) qui permettent la localisation, sans connaissance a priori, de clusters d'évènements et le test de leur significativité statistique. Au sein de cette thèse, nous nous sommes focalisés sur cette dernière catégorie et plus particulièrement aux méthodes basées sur les statistiques de scan (ou de balayage). Ces méthodes sont apparues au début des années 1960 et permettent de détecter des clusters d'évènements et de déterminer leur aspect "normal" (le fruit du hasard) ou "anormal". L'étape de détection est réalisée par le balayage (scan) par une fenêtre, dite fenêtre de scan, du domaine d'étude (discret ou continu) dans lequel sont observés les évènements (ex: le temps, l'espace,…). Cette phase de détection conduit à un ensemble de fenêtres définissant chacune un cluster potentiel. Une statistique de scan est une variable aléatoire définie comme la fenêtre comportant le nombre maximum d'évènements observés. Les statistiques de scan sont utilisées comme statistique de test pour vérifier l'indépendance et l'appartenance à une distribution donnée des observations, contre une hypothèse alternative privilégiant l'existence de cluster au sein de la région étudiée. Par ailleurs, la principale difficulté réside dans la détermination de la distribution, sous l'hypothèse nulle, de la statistique de scan. En effet, puisqu'elle est définie comme le maximum d'une suite de variables aléatoires dépendantes, la dépendance étant due au recouvrement des différentes fenêtres de scan, il n'existe que dans de très rares cas de figure des solutions explicites. Aussi, un pan de la littérature est axé sur le développement de méthodes (formules exactes et surtout approximations) permettant de déterminer la distribution des statistiques de scan. Par ailleurs, dans le cadre bidimensionnel, la fenêtre de scan peut prendre différentes formes géométriques (rectangulaire, circulaire,…) qui pourraient avoir une influence sur l'approximation de la distribution de la statistique de scan. Cependant, à notre connaissance, aucune étude n'a évalué cette influence. Dans le cadre spatial, les statistiques de scan spatiales développées par M. Kulldorff s'imposent comme étant, de loin, les méthodes les plus utilisées par la communauté scientifique. Le principe de ces méthodes résident dans le fait de scanner le domaine d'étude avec des fenêtres de forme circulaire et de sélectionner le cluster le plus probable comme celui maximisant un test de rapport de vraisemblance. [...]},\n\turldate = {2023-06-30},\n\tschool = {Lille 2},\n\tauthor = {Genin, Michaël},\n\tcollaborator = {Duhamel, Alain},\n\tmonth = dec,\n\tyear = {2013},\n\tkeywords = {Analyse de regroupements -- Dissertations universitaires, Analyse spatiale (statistique), Biométrie, Biométrie -- Dissertations universitaires, Connexion spatiotemporelle -- Dissertations universitaires, Maladies inflammatoires chroniques de l'intestin, Maladies inflammatoires intestinales -- Dissertations universitaires, Scan statistics, Statistiques de Scan, Épidémiologie, Épidémiologie -- Dissertations universitaires},\n}\n\n

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\n La notion de cluster désigne l'agrégation dans le temps et/ou l'espace d'évènements. Dans de nombreux domaines, les experts observent certaines agrégations d'évènements et la question se pose de savoir si ces agrégations peuvent être considérées comme normales (le fruit du hasard) ou non. D'un point de vue probabiliste, la normalité peut être décrite par une hypothèse nulle de répartition aléatoire des évènements. La détection de clusters d'évènements est un domaine de la statistique qui s'est particulièrement étendu au cours des dernières décennies. En premier lieu, la communauté scientifique s'est attachée à développer des méthodes dans le cadre unidimensionnel (ex : le temps) puis, par la suite, a étendu ces méthodes au cas multidimensionnel, et notamment bidimensionnel (l'espace). Parmi l'ensemble des méthodes de détection de clusters d'évènements, trois grands types de tests peuvent être distingués. Le premier concerne les tests globaux qui permettent de détecter une tendance globale à l'agrégation, sans pour autant localiser les clusters éventuels. Le deuxième type correspond aux tests focalisés qui sont utilisés lorsque des connaissances a priori permettent de définir un point source (date ou localisation spatiale) et de tester l'agrégation autour de ce dernier. Le troisième type englobe les tests de détection de cluster (ou sans point source défini) qui permettent la localisation, sans connaissance a priori, de clusters d'évènements et le test de leur significativité statistique. Au sein de cette thèse, nous nous sommes focalisés sur cette dernière catégorie et plus particulièrement aux méthodes basées sur les statistiques de scan (ou de balayage). Ces méthodes sont apparues au début des années 1960 et permettent de détecter des clusters d'évènements et de déterminer leur aspect \"normal\" (le fruit du hasard) ou \"anormal\". L'étape de détection est réalisée par le balayage (scan) par une fenêtre, dite fenêtre de scan, du domaine d'étude (discret ou continu) dans lequel sont observés les évènements (ex: le temps, l'espace,…). Cette phase de détection conduit à un ensemble de fenêtres définissant chacune un cluster potentiel. Une statistique de scan est une variable aléatoire définie comme la fenêtre comportant le nombre maximum d'évènements observés. Les statistiques de scan sont utilisées comme statistique de test pour vérifier l'indépendance et l'appartenance à une distribution donnée des observations, contre une hypothèse alternative privilégiant l'existence de cluster au sein de la région étudiée. Par ailleurs, la principale difficulté réside dans la détermination de la distribution, sous l'hypothèse nulle, de la statistique de scan. En effet, puisqu'elle est définie comme le maximum d'une suite de variables aléatoires dépendantes, la dépendance étant due au recouvrement des différentes fenêtres de scan, il n'existe que dans de très rares cas de figure des solutions explicites. Aussi, un pan de la littérature est axé sur le développement de méthodes (formules exactes et surtout approximations) permettant de déterminer la distribution des statistiques de scan. Par ailleurs, dans le cadre bidimensionnel, la fenêtre de scan peut prendre différentes formes géométriques (rectangulaire, circulaire,…) qui pourraient avoir une influence sur l'approximation de la distribution de la statistique de scan. Cependant, à notre connaissance, aucune étude n'a évalué cette influence. Dans le cadre spatial, les statistiques de scan spatiales développées par M. Kulldorff s'imposent comme étant, de loin, les méthodes les plus utilisées par la communauté scientifique. Le principe de ces méthodes résident dans le fait de scanner le domaine d'étude avec des fenêtres de forme circulaire et de sélectionner le cluster le plus probable comme celui maximisant un test de rapport de vraisemblance. [...]\n

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\n \n\n \n \n \n \n \n Detection of adverse drug events detection: data aggregation and data mining.\n \n \n \n\n\n \n Chazard, E.; Ficheur, G.; Merlin, B.; Genin, M.; Preda, C.; PSIP consortium; and Beuscart, R.\n\n\n \n\n\n\n Studies in Health Technology and Informatics, 148: 75–84. 2009.\n \n\n\n\n
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@article{chazard_detection_2009,\n\ttitle = {Detection of adverse drug events detection: data aggregation and data mining},\n\tvolume = {148},\n\tissn = {0926-9630},\n\tshorttitle = {Detection of adverse drug events detection},\n\tabstract = {Adverse drug events (ADEs) are a public health issue. The objective of this work is to data-mine electronic health records in order to automatically identify ADEs and generate alert rules to prevent those ADEs. The first step of data-mining is to transform native and complex data into a set of binary variables that can be used as causes and effects. The second step is to identify cause-to-effect relationships using statistical methods. After mining 10,500 hospitalizations from Denmark and France, we automatically obtain 250 rules, 75 have been validated till now. The article details the data aggregation and an example of decision tree that allows finding several rules in the field of vitamin K antagonists.},\n\tlanguage = {eng},\n\tjournal = {Studies in Health Technology and Informatics},\n\tauthor = {Chazard, Emmanuel and Ficheur, Grégoire and Merlin, Béatrice and Genin, Michael and Preda, Cristian and {PSIP consortium} and Beuscart, Régis},\n\tyear = {2009},\n\tpmid = {19745237},\n\tkeywords = {Data Collection, Data Mining, Denmark, Drug-Related Side Effects and Adverse Reactions, France, Humans, Medical Records Systems, Computerized},\n\tpages = {75--84},\n}\n\n

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