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ABSTRACT: Background
Frailty is associated with reduced quality of life, poor health outcomes, and death. Past studies have investigated how specific biomarkers are associated with frailty but understanding biomarkers in concert with each other and the associated risk of frailty is critical for clinical application.Methods
Using a sample aged ≥59 years at baseline from the Swedish AMORIS (Apolipoprotein MOrtality RISk) cohort (n = 19 341), with biomarkers measured at baseline (1985-1996), we conducted latent class analysis with 18 biomarkers and used Cox models to determine the association between class and frailty and all-cause mortality.Results
Four classes were identified. Compared to the largest class, the Reference class (81.7%), all other classes were associated with in
SUBMITTER: Wennberg AM
PROVIDER: S-EPMC8361369 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature