The development and validation of a nomogram-based risk prediction model for mortality among older adults.

ABSTRACT:

Objective

This research aims to construct and authenticate a comprehensive predictive model for all-cause mortality, based on a multifaceted array of risk factors.

Methods

The derivation cohort for this study was the Chinese Longitudinal Healthy Longevity Survey (CLHLS), while the Healthy Ageing and Biomarkers Cohort Study (HABCS) and the China Health and Retirement Longitudinal Study (CHARLS) were used as validation cohorts. Risk factors were filtered using lasso regression, and predictive factors were determined using net reclassification improvement. Cox proportional hazards models were employed to establish the mortality risk prediction equations, and the model's fit was evaluated using a discrimination concordance index (C-index). To evaluate the internal consistency of

SUBMITTER: Duan J 

PROVIDER: S-EPMC10825771 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature