Magnetic Resonance Imaging of the Brain in Diabetes
The Cardiovascular Determinants of Dementia (CASCADE) Study
- Reinhold Schmidt1,
- Lenore J. Launer23,
- Lars-Göran Nilsson4,
- Andrzej Pajak5,
- Susanna Sans6,
- Klaus Berger7,
- Monique M. Breteler3,
- Maria de Ridder3,
- Carole Dufouil8,
- Rebecca Fuhrer9,
- Simona Giampaoli10,
- Albert Hofman3 and
- for the CASCADE Consortium
- 1Department of Neurology, Medical University Graz, Graz, Austria
- 2Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, National Institutes of Health, Bethesda, Maryland
- 3Department of Epidemiology and Biometry, Erasmus Medical Center, Rotterdam, the Netherlands
- 4Department of Psychology, Stockholm University, Stockholm, Sweden
- 5Department of Epidemiology and Population Studies, Institute of Public Health, Jagiellonian University Medical School, Kraków, Poland
- 6Institute of Health Studies, Department of Health and Social Security, Barcelona, Spain
- 7Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany
- 8Institut National de la Santé et de la Recherche Médicale (INSERM) Unit 360, Epidemiological Research in Neurology and Psychopathology, Hopital La Salpetriere, Paris, France
- 9Department of Epidemiology and Public Health, University College, London, U.K
- 10Istituto Superiore di Sanità, Laboratory of Epidemiology and Biostatistics, Rome, Italy
- Address correspondence and reprint requests to Dr. Reinhold Schmidt, Department of Neurology, Medical University Graz, Auenbruggerplatz 22, A-8036 Graz, Austria. E-mail: reinhold.schmidt{at}uni-graz.at
Abstract
Diabetic patients are at increased risk for stroke, but little is known about the presence of other brain lesions. We studied the association of magnetic resonance imaging–detected brain lesions to diabetes in 1,252 individuals aged 65–75 years who were randomly selected from eight European population registries or defined working populations. All scans were centrally read for brain abnormalities, including infarcts, white matter lesions, and atrophy. We used a three-point scale to rate periventricular white matter lesions, and the volume of subcortical lesions was calculated according to their number and size. Subjective grading of cortical atrophy by lobe and summation of the lobar grades resulted in a total cortical atrophy score. The mean of three linear measurements of the ventricular diameter relative to the intracranial cavity defined the severity of subcortical atrophy. After adjustment for possible confounders, diabetes was associated with cortical brain atrophy but not with any focal brain lesions or subcortical atrophy. There was a strong interaction of diabetes and hypertension, such that the association between diabetes and cortical atrophy existed only in hypertensive but not in normotensive participants. Cognitive and pathological data are needed to determine the clinical significance of these findings as well as to understand the mechanisms underlying these associations.
- CASCADE, Cardiovascular Determinants of Dementia
- CVD, cardiovascular disease
- MONICA, Monitoring Trends and Determinants in Cardiovascular Disease
- MRI, magnetic resonance imaging
- WHO, World Health Organization
- WML, white matter lesion
Footnotes
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R.F. is currently affiliated with the Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada.
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- Accepted December 4, 2003.
- Received July 24, 2003.
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