@article{RN213,
   author = {van Agtmaal, M. J. M. and Houben, Ajhm and de Wit, V. and Henry, R. M. A. and Schaper, N. C. and Dagnelie, P. C. and van der Kallen, C. J. and Koster, A. and Sep, S. J. and Kroon, A. A. and Jansen, J. F. A. and Hofman, P. A. and Backes, W. H. and Schram, M. T. and Stehouwer, C. D. A.},
   title = {Prediabetes Is Associated With Structural Brain Abnormalities: The Maastricht Study},
   journal = {Diabetes Care},
   volume = {41},
   number = {12},
   pages = {2535-2543},
   note = {van Agtmaal, Marnix J M
Houben, Alfons J H M
de Wit, Vera
Henry, Ronald M A
Schaper, Nicolaas C
Dagnelie, Pieter C
van der Kallen, Carla J
Koster, Annemarie
Sep, Simone J
Kroon, Abraham A
Jansen, Jacobus F A
Hofman, Paul A
Backes, Walter H
Schram, Miranda T
Stehouwer, Coen D A
eng
Observational Study
Research Support, Non-U.S. Gov't
2018/10/18 06:00
Diabetes Care. 2018 Dec;41(12):2535-2543. doi: 10.2337/dc18-1132. Epub 2018 Oct 16.},
   abstract = {OBJECTIVE: Structural brain abnormalities are key risk factors for brain diseases, such as dementia, stroke, and depression, in type 2 diabetes. It is unknown whether structural brain abnormalities already occur in prediabetes. Therefore, we investigated whether both prediabetes and type 2 diabetes are associated with lacunar infarcts (LIs), white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and brain atrophy. RESEARCH DESIGN AND METHODS: We used data from 2,228 participants (1,373 with normal glucose metabolism [NGM], 347 with prediabetes, and 508 with type 2 diabetes (oversampled); mean age 59.2 +/- 8.2 years; 48.3% women) of the Maastricht Study, a population-based cohort study. Diabetes status was determined with an oral glucose tolerance test. Brain imaging was performed with 3 Tesla MRI. Results were analyzed with multivariable logistic and linear regression analyses. RESULTS: Prediabetes and type 2 diabetes were associated with the presence of LIs (odds ratio 1.61 [95% CI 0.98-2.63] and 1.67 [1.04-2.68], respectively; P trend = 0.027), larger WMH (beta 0.07 log10-transformed mL [log-mL] [95% CI 0.00-0.15] and 0.21 log-mL [0.14-0.28], respectively; P trend <0.001), and smaller white matter volumes (beta -4.0 mL [-7.3 to -0.6] and -7.2 mL [-10.4 to -4.0], respectively; P trend <0.001) compared with NGM. Prediabetes was not associated with gray matter volumes or the presence of CMBs. CONCLUSIONS: Prediabetes is associated with structural brain abnormalities, with further deterioration in type 2 diabetes. These results indicate that, in middle-aged populations, structural brain abnormalities already occur in prediabetes, which may suggest that the treatment of early dysglycemia may contribute to the prevention of brain diseases.},
   keywords = {Adult
Aged
Atrophy/diagnosis/epidemiology/etiology/pathology
Brain/diagnostic imaging/*pathology
Brain Diseases/*diagnosis/epidemiology/etiology/pathology
Cohort Studies
Diabetes Mellitus, Type 2/complications/diagnosis/epidemiology/pathology
Female
Humans
Magnetic Resonance Imaging
Male
Middle Aged
Netherlands/epidemiology
Prediabetic State/*complications/diagnosis/epidemiology/pathology
Risk Factors
Stroke/diagnosis/epidemiology/etiology/pathology},
   ISSN = {1935-5548 (Electronic)
0149-5992 (Linking)},
   DOI = {10.2337/dc18-1132},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/30327356
https://care.diabetesjournals.org/content/diacare/41/12/2535.full.pdf},
   year = {2018},
   type = {Journal Article}
}

{"_id":"KyCqnPf2WkYFYK8oo","bibbaseid":"vanagtmaal-houben-dewit-henry-schaper-dagnelie-vanderkallen-koster-etal-prediabetesisassociatedwithstructuralbrainabnormalitiesthemaastrichtstudy-2018","downloads":0,"creationDate":"2018-10-18T19:36:02.984Z","title":"Prediabetes Is Associated With Structural Brain Abnormalities: The Maastricht Study","author_short":["van Agtmaal, M. J. M.","Houben, A.","de Wit, V.","Henry, R. M. A.","Schaper, N. C.","Dagnelie, P. C.","van der Kallen, C. J.","Koster, A.","Sep, S. J.","Kroon, A. A.","Jansen, J. F. A.","Hofman, P. A.","Backes, W. H.","Schram, M. T.","Stehouwer, C. D. A."],"year":2018,"bibtype":"article","biburl":"https://raw.githubusercontent.com/jansenjfa1/bibbase.github.io/master/jansenjfa.bib","bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":["van"],"lastnames":["Agtmaal"],"firstnames":["M.","J.","M."],"suffixes":[]},{"propositions":[],"lastnames":["Houben"],"firstnames":["Ajhm"],"suffixes":[]},{"propositions":["de"],"lastnames":["Wit"],"firstnames":["V."],"suffixes":[]},{"propositions":[],"lastnames":["Henry"],"firstnames":["R.","M.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Schaper"],"firstnames":["N.","C."],"suffixes":[]},{"propositions":[],"lastnames":["Dagnelie"],"firstnames":["P.","C."],"suffixes":[]},{"propositions":["van","der"],"lastnames":["Kallen"],"firstnames":["C.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Koster"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Sep"],"firstnames":["S.","J."],"suffixes":[]},{"propositions":[],"lastnames":["Kroon"],"firstnames":["A.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Jansen"],"firstnames":["J.","F.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Hofman"],"firstnames":["P.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Backes"],"firstnames":["W.","H."],"suffixes":[]},{"propositions":[],"lastnames":["Schram"],"firstnames":["M.","T."],"suffixes":[]},{"propositions":[],"lastnames":["Stehouwer"],"firstnames":["C.","D.","A."],"suffixes":[]}],"title":"Prediabetes Is Associated With Structural Brain Abnormalities: The Maastricht Study","journal":"Diabetes Care","volume":"41","number":"12","pages":"2535-2543","note":"van Agtmaal, Marnix J M Houben, Alfons J H M de Wit, Vera Henry, Ronald M A Schaper, Nicolaas C Dagnelie, Pieter C van der Kallen, Carla J Koster, Annemarie Sep, Simone J Kroon, Abraham A Jansen, Jacobus F A Hofman, Paul A Backes, Walter H Schram, Miranda T Stehouwer, Coen D A eng Observational Study Research Support, Non-U.S. Gov't 2018/10/18 06:00 Diabetes Care. 2018 Dec;41(12):2535-2543. doi: 10.2337/dc18-1132. Epub 2018 Oct 16.","abstract":"OBJECTIVE: Structural brain abnormalities are key risk factors for brain diseases, such as dementia, stroke, and depression, in type 2 diabetes. It is unknown whether structural brain abnormalities already occur in prediabetes. Therefore, we investigated whether both prediabetes and type 2 diabetes are associated with lacunar infarcts (LIs), white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and brain atrophy. RESEARCH DESIGN AND METHODS: We used data from 2,228 participants (1,373 with normal glucose metabolism [NGM], 347 with prediabetes, and 508 with type 2 diabetes (oversampled); mean age 59.2 +/- 8.2 years; 48.3% women) of the Maastricht Study, a population-based cohort study. Diabetes status was determined with an oral glucose tolerance test. Brain imaging was performed with 3 Tesla MRI. Results were analyzed with multivariable logistic and linear regression analyses. RESULTS: Prediabetes and type 2 diabetes were associated with the presence of LIs (odds ratio 1.61 [95% CI 0.98-2.63] and 1.67 [1.04-2.68], respectively; P trend = 0.027), larger WMH (beta 0.07 log10-transformed mL [log-mL] [95% CI 0.00-0.15] and 0.21 log-mL [0.14-0.28], respectively; P trend <0.001), and smaller white matter volumes (beta -4.0 mL [-7.3 to -0.6] and -7.2 mL [-10.4 to -4.0], respectively; P trend <0.001) compared with NGM. Prediabetes was not associated with gray matter volumes or the presence of CMBs. CONCLUSIONS: Prediabetes is associated with structural brain abnormalities, with further deterioration in type 2 diabetes. These results indicate that, in middle-aged populations, structural brain abnormalities already occur in prediabetes, which may suggest that the treatment of early dysglycemia may contribute to the prevention of brain diseases.","keywords":"Adult Aged Atrophy/diagnosis/epidemiology/etiology/pathology Brain/diagnostic imaging/*pathology Brain Diseases/*diagnosis/epidemiology/etiology/pathology Cohort Studies Diabetes Mellitus, Type 2/complications/diagnosis/epidemiology/pathology Female Humans Magnetic Resonance Imaging Male Middle Aged Netherlands/epidemiology Prediabetic State/*complications/diagnosis/epidemiology/pathology Risk Factors Stroke/diagnosis/epidemiology/etiology/pathology","issn":"1935-5548 (Electronic) 0149-5992 (Linking)","doi":"10.2337/dc18-1132","url":"http://www.ncbi.nlm.nih.gov/pubmed/30327356 https://care.diabetesjournals.org/content/diacare/41/12/2535.full.pdf","year":"2018","bibtex":"@article{RN213,\n author = {van Agtmaal, M. J. M. and Houben, Ajhm and de Wit, V. and Henry, R. M. A. and Schaper, N. C. and Dagnelie, P. C. and van der Kallen, C. J. and Koster, A. and Sep, S. J. and Kroon, A. A. and Jansen, J. F. A. and Hofman, P. A. and Backes, W. H. and Schram, M. T. and Stehouwer, C. D. A.},\n title = {Prediabetes Is Associated With Structural Brain Abnormalities: The Maastricht Study},\n journal = {Diabetes Care},\n volume = {41},\n number = {12},\n pages = {2535-2543},\n note = {van Agtmaal, Marnix J M\nHouben, Alfons J H M\nde Wit, Vera\nHenry, Ronald M A\nSchaper, Nicolaas C\nDagnelie, Pieter C\nvan der Kallen, Carla J\nKoster, Annemarie\nSep, Simone J\nKroon, Abraham A\nJansen, Jacobus F A\nHofman, Paul A\nBackes, Walter H\nSchram, Miranda T\nStehouwer, Coen D A\neng\nObservational Study\nResearch Support, Non-U.S. Gov't\n2018/10/18 06:00\nDiabetes Care. 2018 Dec;41(12):2535-2543. doi: 10.2337/dc18-1132. Epub 2018 Oct 16.},\n abstract = {OBJECTIVE: Structural brain abnormalities are key risk factors for brain diseases, such as dementia, stroke, and depression, in type 2 diabetes. It is unknown whether structural brain abnormalities already occur in prediabetes. Therefore, we investigated whether both prediabetes and type 2 diabetes are associated with lacunar infarcts (LIs), white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and brain atrophy. RESEARCH DESIGN AND METHODS: We used data from 2,228 participants (1,373 with normal glucose metabolism [NGM], 347 with prediabetes, and 508 with type 2 diabetes (oversampled); mean age 59.2 +/- 8.2 years; 48.3% women) of the Maastricht Study, a population-based cohort study. Diabetes status was determined with an oral glucose tolerance test. Brain imaging was performed with 3 Tesla MRI. Results were analyzed with multivariable logistic and linear regression analyses. RESULTS: Prediabetes and type 2 diabetes were associated with the presence of LIs (odds ratio 1.61 [95% CI 0.98-2.63] and 1.67 [1.04-2.68], respectively; P trend = 0.027), larger WMH (beta 0.07 log10-transformed mL [log-mL] [95% CI 0.00-0.15] and 0.21 log-mL [0.14-0.28], respectively; P trend <0.001), and smaller white matter volumes (beta -4.0 mL [-7.3 to -0.6] and -7.2 mL [-10.4 to -4.0], respectively; P trend <0.001) compared with NGM. Prediabetes was not associated with gray matter volumes or the presence of CMBs. CONCLUSIONS: Prediabetes is associated with structural brain abnormalities, with further deterioration in type 2 diabetes. These results indicate that, in middle-aged populations, structural brain abnormalities already occur in prediabetes, which may suggest that the treatment of early dysglycemia may contribute to the prevention of brain diseases.},\n keywords = {Adult\nAged\nAtrophy/diagnosis/epidemiology/etiology/pathology\nBrain/diagnostic imaging/*pathology\nBrain Diseases/*diagnosis/epidemiology/etiology/pathology\nCohort Studies\nDiabetes Mellitus, Type 2/complications/diagnosis/epidemiology/pathology\nFemale\nHumans\nMagnetic Resonance Imaging\nMale\nMiddle Aged\nNetherlands/epidemiology\nPrediabetic State/*complications/diagnosis/epidemiology/pathology\nRisk Factors\nStroke/diagnosis/epidemiology/etiology/pathology},\n ISSN = {1935-5548 (Electronic)\n0149-5992 (Linking)},\n DOI = {10.2337/dc18-1132},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/30327356\nhttps://care.diabetesjournals.org/content/diacare/41/12/2535.full.pdf},\n year = {2018},\n type = {Journal Article}\n}\n\n","author_short":["van Agtmaal, M. J. M.","Houben, A.","de Wit, V.","Henry, R. M. A.","Schaper, N. C.","Dagnelie, P. C.","van der Kallen, C. J.","Koster, A.","Sep, S. J.","Kroon, A. A.","Jansen, J. F. A.","Hofman, P. A.","Backes, W. H.","Schram, M. T.","Stehouwer, C. D. A."],"key":"RN213","id":"RN213","bibbaseid":"vanagtmaal-houben-dewit-henry-schaper-dagnelie-vanderkallen-koster-etal-prediabetesisassociatedwithstructuralbrainabnormalitiesthemaastrichtstudy-2018","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/30327356 https://care.diabetesjournals.org/content/diacare/41/12/2535.full.pdf"},"keyword":["Adult Aged Atrophy/diagnosis/epidemiology/etiology/pathology Brain/diagnostic imaging/*pathology Brain Diseases/*diagnosis/epidemiology/etiology/pathology Cohort Studies Diabetes Mellitus","Type 2/complications/diagnosis/epidemiology/pathology Female Humans Magnetic Resonance Imaging Male Middle Aged Netherlands/epidemiology Prediabetic State/*complications/diagnosis/epidemiology/pathology Risk Factors Stroke/diagnosis/epidemiology/etiology/pathology"],"metadata":{"authorlinks":{"jansen, j":"https://www.jansenjfa.com/publications/"}},"downloads":0,"html":""},"search_terms":["prediabetes","associated","structural","brain","abnormalities","maastricht","study","van agtmaal","houben","de wit","henry","schaper","dagnelie","van der kallen","koster","sep","kroon","jansen","hofman","backes","schram","stehouwer"],"keywords":["adult aged atrophy/diagnosis/epidemiology/etiology/pathology brain/diagnostic imaging/*pathology brain diseases/*diagnosis/epidemiology/etiology/pathology cohort studies diabetes mellitus","type 2/complications/diagnosis/epidemiology/pathology female humans magnetic resonance imaging male middle aged netherlands/epidemiology prediabetic state/*complications/diagnosis/epidemiology/pathology risk factors stroke/diagnosis/epidemiology/etiology/pathology"],"authorIDs":["TEAWLnKpXtQE8hs6C"],"dataSources":["NcYBKGxxHQiyceke2","TCkfRWJAZvbLAZi29"]}