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

Author:

Raghavan Sheelakumari1,Przybelski Scott A.2,Lesnick Timothy G.2,Fought Angela J.2,Reid Robert I.3,Gebre Robel K.1,Windham B. Gwen4,Algeciras‐Schimnich Alicia5,Machulda Mary M.6,Vassilaki Maria2,Knopman David S.7,Jack Clifford R.1,Petersen Ronald C.7,Graff‐Radford Jonathan7,Vemuri Prashanthi1

Affiliation:

1. Department of Radiology Mayo Clinic Rochester Minnesota USA

2. Department of Quantitative Health Sciences Mayo Clinic Rochester Minnesota USA

3. Department of Information Technology Mayo Clinic Rochester Minnesota USA

4. Department of Medicine University of Mississippi Medical Center Jackson USA

5. Department of Laboratory Medicine and Pathology Mayo Clinic Rochester Minnesota USA

6. Department of Psychology Mayo Clinic Rochester Minnesota USA

7. Department of Neurology Mayo Clinic Rochester Minnesota USA

Abstract

AbstractINTRODUCTIONCost‐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.METHODSIn 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.RESULTSVRFs 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.DISCUSSIONNon‐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 variability in WMH and vascular WM scores in intermediate and older age groups. The framework developed here can be used to evaluate new non‐imaging VCID indicators proposed in the future.

Funder

National Institutes of Health

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Neurology (clinical),Developmental Neuroscience,Health Policy,Epidemiology

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