Ontology highlight
ABSTRACT: Background
Emerging evidence suggests that there is significant variability in the progression of frailty in aging. We aimed to identify latent subpopulations of frailty trajectories, and examine their clinical and biological correlates.Methods
We characterized frailty using a 41-item cumulative deficit score at baseline and annual visits up to 12 years in 681 older adults (55% women, mean age 74·6 years). Clinical risk profile and walking while talking performance as a clinical marker of trajectories were examined. Mortality risk associated with trajectories was evaluated using Cox regression adjusted for established survival predictors, and reported as hazard ratios (HR). Proteome-wide analysis was done.Findings
Latent class modeling identified 4 distinct frailty
SUBMITTER: Verghese J
PROVIDER: S-EPMC8274857 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature