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Updated: Oct 5, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Risk Assessment of Mortality in Elderly Individuals: A Nationwide Cohort Study
Youn Huh1, Do-Hoon Kim2, Jin-Hyung Jung3
1Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University, Daejeon, Republic of Korea, higjdus1@naver.com.
A new risk assessment model accurately predicts all-cause mortality in elderly Koreans. Key factors include advanced age, underweight status, multiple chronic diseases, and lifestyle choices like smoking and exercise.
Area of Science:
- Gerontology
- Public Health
- Epidemiology
Background:
- Existing risk assessment models for elderly mortality are limited.
- Predicting emergency room visits and rehospitalization in the elderly is crucial.
- Understanding factors influencing all-cause mortality in older populations is essential.
Purpose of the Study:
- To identify factors affecting all-cause mortality in elderly Koreans.
- To develop and validate a risk assessment model for mortality in this demographic.
- To provide a tool for better risk stratification of elderly individuals.
Main Methods:
- A cohort study utilized health checkup data from 246,422 elderly Koreans (aged ≥60) from 2009-2012.
- Multivariable Cox proportional hazards models estimated hazard ratios for various conditions and all-cause deaths.
- A nomogram was developed and validated using calibration plots and area under the curve (AUC).
Main Results:
- Age (≥85 years), underweight status, and multiple chronic diseases (≥5) were significant predictors of mortality.
- Smoking and lack of regular exercise also demonstrated an impact on mortality risk.
- The developed nomogram achieved an AUC of 0.73, indicating satisfactory predictive performance.
Conclusions:
- The study identified key determinants of all-cause mortality in elderly Koreans.
- The developed nomogram demonstrates good performance in assessing mortality risk for this population.
- This tool can aid in clinical decision-making and public health strategies for elderly care.
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