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Updated: Feb 15, 2026

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Functional Trajectories, Cognition, and Subclinical Cerebrovascular Disease
Mandip S Dhamoon1, Ying-Kuen Cheung2, Jose Gutierrez2
1From the Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY (M.S.D.); Departments of Epidemiology (M.S.V.E.), Biostatistics (Y.-K.C., Y.P.M.), and Neurology, College of Physicians and Surgeons, Mailman School of Public Health (J.G., M.S.V.E.), Columbia University, New York, NY; McKnight Brain Institute (R.L.S.) and Departments of Public Health Sciences and Human Genetics (R.L.S.), Miller School of Medicine, University of Miami, FL; and National Institutes of Health, Bethesda, MD (C.B.W.). mandip.dhamoon@mssm.edu.
Background And Purpose:
Cognition and education influence functional trajectories, but whether associations differ with subclinical brain infarcts (SBI) or white matter hyperintensity volume (WMHV) is unknown. We hypothesized that SBI and WMHV moderated relationships between cognitive performance and education and functional trajectories.
Methods:
A total of 1290 stroke-free individuals underwent brain magnetic resonance imaging and were followed for 7.3 years (mean) with annual functional assessments with the Barthel index (range, 0-100). Magnetic resonance imaging measurements included pathology-informed SBI (PI-SBI) and WMHV (% total cranial volume). Generalized estimating equation models tested associations between magnetic resonance imaging variables and baseline Barthel index and change in Barthel index, adjusting for demographic, vascular, cognitive, and social risk factors, and stroke and myocardial infarction during follow-up. We tested interactions among education level, baseline cognitive performance (Mini-Mental State score), and functional trajectories and ran models stratified by levels of magnetic resonance imaging variables.
Results:
Mean age was 70.6 (SD, 9.0) years; 19% had PI-SBI, and mean WMHV was 0.68%. Education did not modify associations between cognition and functional trajectories. PI-SBI modified associations between cognition and functional trajectories (P=0.04) with a significant protective effect of better cognition on functional decline seen only in those without PI-SBI. There was no significant interaction for WMHV (P=0.8). PI-SBI, and greater WMHV, were associated with 2- to 3-fold steeper functional decline, holding cognition constant.
Conclusions:
PI-SBI moderated the association between cognition and functional trajectories, with 3-fold greater decline among those with PI-SBI (compared with no PI-SBI) and normal baseline cognition. This highlights the strong and independent association between subclinical markers and patient-centered trajectories over time.
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