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Dataset Information

Changes in Predictive Performance of a Frailty Index with Availability of Clinical Domains.


ABSTRACT:

Objectives

Determine the effects of missing data in frailty identification and risk prediction.

Design

Analysis of the National Health in Aging Trends Study.

Setting

Community.

Participants

About 6206 older adults.

Measurements

A 41-variable frailty index (FI) was constructed with the following domains: comorbidities, activities of daily living (ADLs), instrumental activities of daily living, self-reported physical limitations, physical performance, and neuropsychiatric tests. We evaluated discrimination after removing single and multiple domains, comparing C-statistics for predicting 5-year risk of mortality and 1-year risks of disability and falls.

Results

The full FI yielded a mean of .18 and C-statistics of .72 (95% confidence interval, .70-.7

SUBMITTER: Shi SM 

PROVIDER: S-EPMC7872739 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature