Beyond Chronological Age: A Multidimensional Approach to Survival Prediction in Older Adults.

ABSTRACT:

Background

There is a growing interest in generating precise predictions of survival to improve the assessment of health and life-improving interventions. We aimed to (a) test if observable characteristics may provide a survival prediction independent of chronological age; (b) identify the most relevant predictors of survival; and (c) build a metric of multidimensional age.

Methods

Data from 3 095 individuals aged ≥60 from the Swedish National Study on Aging and Care in Kungsholmen. Eighty-three variables covering 5 domains (diseases, risk factors, sociodemographics, functional status, and blood tests) were tested in penalized Cox regressions to predict 18-year mortality.

Results

The best prediction of mortality at different follow-ups (area under the receiver operati

SUBMITTER: Salignon J 

PROVIDER: S-EPMC9879753 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature