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Mortality predictive indexes for the community-dwelling elderly US population.
Zi Zhang1, Dawei Xie, Jibby E Kurichi
1Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Developed simple mortality prediction tools for elderly individuals living in the community. These indexes use key factors like age and functional status to estimate 1-, 5-, and 10-year survival probabilities.
Area of Science:
- Gerontology
- Public Health
- Epidemiology
Background:
- Limited predictive tools exist for long-term mortality in community-dwelling elderly.
- Parsimonious predictive indexes are crucial for clinical and policy decisions.
Purpose of the Study:
- To create 1-, 5-, and 10-year mortality predictive indexes for community-dwelling elderly.
- To validate these indexes using a nationally representative sample.
Main Methods:
- Cohort study utilizing the Second Longitudinal Study of Aging (LSOA II).
- Included 7,373 community-dwelling individuals aged 70+.
- Collected sociodemographics, impairments, medical diagnoses, and functional status (IADL stages).
Main Results:
- Mortality rates were 3.7% (1-year), 23.3% (5-year), and 49.8% (10-year).
- Identified key predictors including age, sex, coronary artery disease, and IADL stages.
- Developed three predictive indexes with good predictive accuracy (C-statistics ranging from 0.72 to 0.75).
Conclusions:
- The developed indexes offer parsimonious and easy-to-use tools for predicting mortality in community settings.
- These indexes can aid in patient prognosis and intervention comparisons.
- Incorporating Instrumental Activities of Daily Living (IADL) stages simplifies prediction when detailed medical data is unavailable.
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