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Frailty Trajectories in an Elderly Population-Based Cohort
Alanna M Chamberlain1, Lila J Finney Rutten1,2, Sheila M Manemann1
1Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Distinct frailty trajectories in aging populations predict healthcare use and mortality. Identifying these patterns can help target interventions for high-risk older adults.
Area of Science:
- Gerontology and Aging Research
- Public Health and Epidemiology
- Biostatistics and Longitudinal Data Analysis
Background:
- Aging populations worldwide face increasing healthcare demands.
- Frailty, a state of increased vulnerability, is a key predictor of adverse health outcomes in older adults.
- Understanding the progression of frailty over time is crucial for effective health management.
Purpose of the Study:
- To identify distinct frailty trajectories in an aging population.
- To examine the association between these frailty trajectories and healthcare utilization (emergency department visits, hospitalizations) and all-cause mortality.
- To explore age-specific patterns in frailty progression.
Main Methods:
- Population-based cohort study in Olmsted County, Minnesota.
- Inclusion of residents aged 60-89 in 2005 with longitudinal frailty data (2005-2012).
- Construction of a yearly Rockwood frailty index using body mass index, comorbidities, and activities of daily living to measure health status changes.
Main Results:
- 12,270 participants were retained for analysis.
- Three distinct frailty trajectories were identified in individuals aged 60-69, and two trajectories in those aged 70-79 and 80-89.
- Higher frailty trajectories were significantly associated with increased emergency department visits, hospitalizations, and all-cause mortality across all age groups, even after adjusting for baseline frailty.
Conclusions:
- The number of identifiable frailty trajectories varies by age group.
- Individuals in higher frailty trajectories consistently experienced greater healthcare utilization and poorer survival outcomes.
- Frailty trajectories represent a valuable tool for identifying at-risk aging individuals for targeted therapeutic and preventive interventions.
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