Comparison of Trauma Mortality Prediction Models With Updated Survival Risk Ratios in Korea.

ABSTRACT:

Background

Despite the considerable disease burden due to trauma injury, sufficient effort has not been made for the assessment of nationwide trauma care status in Korea. We explored the feasibility of a diagnosis code-based injury severity measuring method in light of its real-world usage.

Methods

We used datasets from the National Emergency Department Information System to calculate the survival risk ratios (SRRs) and the Korean Trauma Data Bank to predict models, respectively. The target cohort was split into training and validation datasets using stratified random sampling in an 8:2 ratio. We established six major mortality prediction models depending on the included parameters: 1) the Trauma and Injury Severity Score (TRISS) (age, sex, original Revised Trauma Score [RTS

SUBMITTER: Kim J 

PROVIDER: S-EPMC12011615 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature