Trajectories of frailty in aging: Prospective cohort study

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 center dot 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 trajectories: relatively stable (34 center dot 4%) as well as mild (36 center dot 1%), moderate (24 center dot 1%) and severely frail (5 center dot 4%). Four distinct classes of frailty trajectories were also shown in an independent sample of 515 older adults (60% women, 68% White, 26% Black). The stable group took a median of 31 months to accumulate one additional deficit compared to 20 months in the severely frail group. The worst trajectories were associated with modifiable risk factors such as low education, living alone, obesity, and physical inactivity as well as slower walking while talking speed. In the pooled sample, mild (HR 2 center dot 33, 95% CI 1 center dot 30-4 center dot 18), moderate (HR 2 center dot 49, 95% CI 1 center dot 33-4 center dot 66), and severely frail trajectories (HR 5 center dot 28, 95% CI 2 center dot 68-10 center dot 41) had higher mortality compared to the stable group. Proteomic analysis showed 11 proteins in lipid metabolism and growth factor pathways associated with frailty trajectories. Conclusion Frailty shows both stable and accelerated patterns in aging, which can be distinguished clinically and biologically.

Automated summary

The study identified four distinct frailty trajectories in aging, including stable, mild, moderate, and severely frail trajectories. The worst trajectories were associated with modifiable risk factors such as low education, living alone, obesity, and physical inactivity. Proteomic analysis revealed proteins in lipid metabolism and growth factor pathways associated with frailty trajectories. High mortality risks were observed in the mild, moderate, and severely frail trajectories compared to the stable group.