Vascular risk, gait, behavioral, and plasma indicators of VCID

作者：Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, Angela J. Fought, Robert I. Reid, Robel K Gebre, Beverly Gwen Windham, Alicia Algeciras‐Schimnich, Mary M. Machulda, Maria E. Vassilaki, David S. Knopman, Clifford R. Jack, Ronald Carl Petersen, Jonathan Graff‐Radford, Prashanthi Vemuri · 发表于：Alzheimer s & Dementia · 年份：2023 · DOI：10.1002/alz.13540 · 被引用次数：17 · 研究领域：Dementia and Cognitive Impairment Research、Functional Brain Connectivity Studies、Advanced Neuroimaging Techniques and Applications

INTRODUCTION: Cost-effective screening tools for vascular contributions to cognitive impairment and dementia (VCID) has significant implications. We evaluated non-imaging indicators of VCID using magnetic resonance imaging (MRI)-measured white matter (WM) damage and hypothesized that these indicators differ based on age. METHODS: In 745 participants from the Mayo Clinic Study of Aging (≥50 years of age) with serial WM assessments from diffusion MRI and fluid-attenuated inversion recovery (FLAIR)-MRI, we examined associations between baseline non-imaging indicators (demographics, vascular risk factors [VRFs], gait, behavioral, plasma glial fibrillary acidic protein [GFAP], and plasma neurofilament light chain [NfL]) and WM damage across three age tertiles. RESULTS: VRFs and gait were associated with diffusion changes even in low age strata. All measures (VRFs, gait, behavioral, plasma GFAP, plasma NfL) were associated with white matter hyperintensities (WMHs) but mainly in intermediate and high age strata. DISCUSSION: Non-imaging indicators of VCID were related to WM damage and may aid in screening participants and assessing outcomes for VCID. HIGHLIGHTS: Non-imaging indicators of VCID can aid in prediction of MRI-measured WM damage but their importance differed by age. Vascular risk and gait measures were associated with early VCID changes measured using diffusion MRI. Plasma markers explained variability in WMH across age strata. Most non-imaging measures explained variabili...