Victor J Del Brutto1, Jorge G Ortiz2, Oscar H Del Brutto3, Robertino M Mera4, Mauricio Zambrano5, José Biller2. 1. Department of Neurology, University of Chicago, Chicago, IL, USA. 2. Department of Neurology, Loyola University Chicago, Stritch School of Medicine, Chicago, IL, USA. 3. School of Medicine, Universidad Espíritu Santo-Ecuador, Guayaquil, Ecuador. 4. University of Vanderbilt Medical Center, Nashville, TN, USA. 5. Community Center, The Atahualpa Project, Atahualpa, Ecuador.
Abstract
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% (R2 = 0.328). This predictive power was similar for white matter hyperintensities (R2 = 0.306), microbleeds (R2 = 0.313), lacunar infarcts (R2 = 0.323), and perivascular spaces (R2 = 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.
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% (R2 = 0.328). This predictive power was similar for white matter hyperintensities (R2 = 0.306), microbleeds (R2 = 0.313), lacunar infarcts (R2 = 0.323), and perivascular spaces (R2 = 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.
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