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Updated: Jun 23, 2026

Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions
Published on: April 23, 2021
Age-inappropriate white matter injury reveals hidden cerebral small vessel disease burden and mortality risk
Pei-Lin Lee1, Wen-Yu Ou Yang2,3, Kun-Hsien Chou4,5
1Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Objective:
White matter hyperintensities (WMH) are a core marker of cerebral small vessel disease (CSVD), but their interpretation is limited by strong age-dependence. We hypothesized that WMH burden disproportionate to age- and sex-expected norms had clinical significance by reflecting disease burden and outcomes.
Methods:
We developed an age- and sex-referenced normative model of WMH using hierarchical Bayesian regression in 2544 neurologically healthy community-dwelling adults from Taiwan and Japan (50.0-92.1 years, 1319 women). Individualized WMH deviation scores were applied to 1237 community-dwelling participants. Participants were classified into four normative model-defined WMH deviation categories: low, mild, moderate, and high. We tested associations of WMH deviation with vascular risk profiles, cognitive performance, gray matter volumes, and all-cause mortality.
Results:
Higher WMH deviation identified individuals who were not older but had more adverse vascular profiles. Each one-level increase in WMH deviation was associated with lower global cognition (MMSE β = -0.179, FDR-p = 0.034), poorer verbal memory (β = -0.121, FDR-p = 0.034), and worse visuospatial function (β = -0.330, FDR-p = 0.049), as well as reduced global gray matter (β = -4.180, FDR-p < 0.001) and lower hippocampal and thalamic volumes (all FDR-p ≤ 0.002). During a mean follow-up of 9.4 years, high WMH deviation was associated with increased all-cause mortality after adjustment for age, sex, hypertension, and diabetes (hazard ratio 1.72, 95% CI 1.05-2.82), despite younger age.
Interpretation:
WMH deviation from age- and sex-expected norms provides clinically-relevant information identifying individuals at increased risk of neurodegeneration and mortality.
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