Ontology highlight
ABSTRACT: Introduction
Dementia clinical risk scores (CRS) provide accessible tools for identifying individuals at risk for Alzheimer's disease (AD), yet their performance across diverse populations and relationships to AD endophenotypes remains unclear.Methods
We evaluated four CRS, mCAIDE, WHICAP, LIBRA, and CogDRisk, in relation to cognitive impairment diagnoses and endophenotypes for AD, including plasma biomarkers, neuroimaging measures, and cognitive composite scores. Logistic and linear regression models stratified by self-reported race/ethnicity were used to assess the associations of CRS with diagnosis and their predictive performance, and associations with endophenotypes.Results
Higher CRS were consistently associated with increased odds of dementia across all races
SUBMITTER: Okorie M
PROVIDER: S-EPMC12870693 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature