Total cerebral small vessel disease score and cognitive performance in community‐dwelling older adults. Results from the Atahualpa Project

蒙特利尔认知评估 高强度 认知 内科学 心脏病学 腔隙性中风 白质疏松症 白质 认知功能衰退 心理学 医学 磁共振成像 认知障碍 痴呆 疾病 放射科 神经科学 缺血 缺血性中风
作者
Victor J. Del Brutto,Jorge G. Ortiz,Óscar H. Del Brutto,Robertino M. Mera,Mauricio Zambrano,José Biller
出处
期刊:International Journal of Geriatric Psychiatry [Wiley]
卷期号:33 (2): 325-331 被引量:48
标识
DOI:10.1002/gps.4747
摘要

Objective Cerebral small vessel disease (SVD) is inversely associated with cognitive performance. However, whether the total SVD score is a better predictor of poor cognitive performance than individual signatures of SVD is inconclusive. We aimed to estimate the combined and independent predictive power of these MRI findings. Methods Atahualpa residents aged ≥60 years underwent brain MRI. Cognitive performance was measured by the Montreal Cognitive Assessment (MoCA). The presence of moderate‐to‐severe white matter hyperintensities, deep cerebral microbleeds, lacunar infarcts, and >10 enlarged perivascular spaces was added for estimating the total SVD score ranging from 0 to 4 points. Montreal Cognitive Assessment predictive models were fitted to assess how well the total SVD score or each of its components predicts cognitive performance. Results Of 351 eligible candidates, 331 (94%) were included. The total SVD score was 0 points in 202 individuals (61%), 1 point in 67 (20%), 2 points in 40 (12%), 3 points in 15 (5%), and 4 points in seven (2%). A generalized lineal model showed an inverse relationship between the total SVD score and the MoCA ( p = 0.015). The proportion of variance in the MoCA score explained by the SVD score was 32.8% ( R 2 = 0.328). This predictive power was similar for white matter hyperintensities ( R 2 = 0.306), microbleeds ( R 2 = 0.313), lacunar infarcts ( R 2 = 0.323), and perivascular spaces ( R 2 = 0.313). Conclusions This study shows a significant association between the SVD score and worse cognitive performance. The SVD score is a predictor of poor cognitive performance. This predictive power is not better than that of isolated neuroimaging signatures of SVD. Copyright © 2017 John Wiley & Sons, Ltd.

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