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Brain White Matter Hyperintensities: Relative Importance of Vascular Risk Factors in Nondemented Elderly People¹

¹ From the Departments of Radiology (A.D.M.), Biomedical Physics and Bioengineering (R.T.S.), and Mental Health (L.J.W.), University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, Scotland; and Departments of Psychology (I.J.D.) and Geriatric Medicine (S.D.S., J.M.S.), University of Edinburgh, Edinburgh, Scotland. Received August 30, 2004; revision requested November 5; revision received November 26; accepted January 3, 2005. L.J.W., A.D.M., I.J.D., and R.T.S. supported by a grant from the Chief Scientist Office of the Scottish Health Department. I.J.D. supported by a Royal Society-Wolfson Research Merit Award. L.J.W. supported by a Wellcome Trust Career Development Award. S.D.S. supported by a Medical Research Council Clinical Training Fellowship. Address correspondence to A.D.M. (e-mail: a.d.murray{at}abdn.ac.uk).

PURPOSE: To prospectively determine whether there is an association between brain white matter signal hyperintensities on magnetic resonance (MR) images and potential risk factors for cerebral ischemia in a well-characterized narrow age cohort of nondemented community-dwelling elderly people.

MATERIALS AND METHODS: The study population consisted of surviving members of the Aberdeen 1921 Birth Cohort, a subsample of participants in the 1932 Scottish Mental Survey who were born in 1921. With the permission of the local ethics committee and with informed written consent, 106 nondemented subjects (62 men, 44 women) aged 78–79 years underwent T2-weighted brain MR imaging. Brain MR images were scored semiquantitatively for deep white matter hyperintensities and periventricular hyperintensities. Vascular risk factors and clinical measures potentially associated with cerebral ischemia included hypertension, diabetes, cerebrovascular disease, smoking, body mass index grade, respiratory function levels (forced expiratory volume in 1 second [FEV₁], forced vital capacity [FVC], and peak expiratory flow rate [PEFR]) normalized for subject's height, plasma lipid levels (cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein), glycated hemoglobin level, and mean fasting blood glucose level. Pearson correlation coefficients were calculated for correlations between potential vascular risk factors and scores for deep white matter and periventricular hyperintensities, and stepwise multiple linear regression analysis was performed for factors with a statistically significant correlation.

RESULTS: Significant Pearson correlations with deep white matter hyperintensities were found for glycated hemoglobin level (r = 0.31), hypertension (r = 0.27), normalized FEV₁ (r = –0.27), normalized FVC (r = –0.22), normalized PEFR (r = –0.27), low-density lipoprotein (r = 0.24), and cholesterol (r = 0.20), and with periventricular hyperintensities for glycated hemoglobin level (r = 0.28) and normalized PEFR (r = –0.23). Multiple linear regression analysis showed that glycated hemoglobin level and hypertension were predictive of 16.2% of the variance in deep white matter hyperintensities. When subjects with non–insulin-dependent (type 2) diabetes mellitus (n = 11) were excluded, hypertension and decreased normalized PEFR were predictive of 11.7% of the variance.

CONCLUSION: White matter hyperintensities are associated with elevated levels of glycated hemoglobin in nondemented community-dwelling elderly subjects. Hypertension and decreased normalized PEFR are the principal predictors of deep white matter hyperintensities in nondiabetic subjects.

© RSNA, 2005

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