White matter hyperintensity volume in pre-diabetes, diabetes and normoglycemia.


Journal

BMJ open diabetes research & care
ISSN: 2052-4897
Titre abrégé: BMJ Open Diabetes Res Care
Pays: England
ID NLM: 101641391

Informations de publication

Date de publication:
06 2021
Historique:
received: 01 12 2020
accepted: 01 06 2021
entrez: 29 6 2021
pubmed: 30 6 2021
medline: 1 7 2021
Statut: ppublish

Résumé

As white matter hyperintensities (WMHs) of the brain are associated with an increased risk of stroke, cognitive decline, and depression, elucidating the associated risk factors is important. In addition to age and hypertension, pre-diabetes and diabetes may play important roles in the development of WMHs. Previous studies have, however, shown conflicting results. We aimed to investigate the effect of diabetes status and quantitative markers of glucose metabolism on WMH volume in a population-based cohort without prior cardiovascular disease. 400 participants underwent 3 T MRI. WMHs were manually segmented on 3D fluid-attenuated inversion recovery images. An oral glucose tolerance test (OGTT) was administered to all participants not previously diagnosed with diabetes to assess 2-hour serum glucose concentrations. Fasting glucose concentrations and glycated hemoglobin (HbA1c) levels were measured. Zero-inflated negative binomial regression analyses of WMH volume and measures of glycemic status were performed while controlling for cardiovascular risk factors and multiple testing. The final study population comprised 388 participants (57% male; age 56.3±9.2 years; n=98 with pre-diabetes, n=51 with diabetes). Higher WMH volume was associated with pre-diabetes (p=0.001) and diabetes (p=0.026) compared with normoglycemic control participants after adjustment for cardiovascular risk factors. 2-hour serum glucose (p<0.001), but not fasting glucose (p=0.389) or HbA1c (p=0.050), showed a significant positive association with WMH volume after adjustment for cardiovascular risk factors. Our results indicate that high 2-hour serum glucose concentration in OGTT, but not fasting glucose levels, may be an independent risk factor for the development of WMHs, with the potential to inform intensified prevention strategies in individuals at risk of WMH-associated morbidity.

Identifiants

pubmed: 34183320
pii: 9/1/e002050
doi: 10.1136/bmjdrc-2020-002050
pmc: PMC8240582
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Sergio Grosu (S)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany sergio.grosu@med.uni-muenchen.de sophia.stoecklein@med.uni-muenchen.de.

Roberto Lorbeer (R)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Felix Hartmann (F)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Susanne Rospleszcz (S)

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.

Fabian Bamberg (F)

Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Christopher L Schlett (CL)

Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Franziska Galie (F)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Sonja Selder (S)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Sigrid Auweter (S)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.

Margit Heier (M)

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany.

Wolfgang Rathmann (W)

Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany.
German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany.

Katharina Mueller-Peltzer (K)

Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Karl-Heinz Ladwig (KH)

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Department of Psychosomatic Medicine and Psychotherapy, Hospital Rechts der Isar, Technical University Munich, Munich, Germany.

Annette Peters (A)

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.

Birgit B Ertl-Wagner (BB)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
Department of Radiology, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.

Sophia Stoecklein (S)

Department of Radiology, University Hospital, LMU Munich, Munich, Germany sergio.grosu@med.uni-muenchen.de sophia.stoecklein@med.uni-muenchen.de.

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Classifications MeSH