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Updated: Jan 30, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Developing and validating a preoperative risk score to predict 90-day mortality after liver resection
Bobby V M Dasari1, James Hodson2, Robert P Sutcliffe1
1Deptartment of HPB and Liver Transplantation surgery, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom.
A new risk score predicts 90-day mortality after liver resection. Key factors include patient age, resection extent, diabetes, and low sodium, aiding surgical counseling and outcomes assessment.
Area of Science:
- Hepatobiliary surgery
- Surgical oncology
- Patient outcomes research
Background:
- Liver resection is increasingly performed with combined surgical, interventional, and chemotherapy approaches.
- Improved perioperative care enables higher-risk patient selection for hepatectomy.
- Despite improvements, 90-day postoperative mortality after liver resection remains variable.
Purpose of the Study:
- To develop and validate a preoperative risk score for predicting 90-day mortality following liver resection (hepatectomy).
Main Methods:
- Retrospective analysis of hepatectomy patients from 2011-2016.
- Univariable and multivariable analyses identified mortality predictors.
- A risk score was derived and validated in separate patient cohorts.
Main Results:
- The 90-day mortality rate was 4.0% in the derivation cohort (n=1269).
- Predictors of mortality included older patient age, extensive resection, diabetes mellitus, and low preoperative sodium.
- The risk score demonstrated good predictive accuracy (AUROC 0.778 in derivation, 0.703 in validation).
Conclusions:
- A validated preoperative risk score can predict 90-day mortality after liver resection.
- This tool can assist in patient counseling, preoperative optimization, and risk-adjusted outcome evaluation.
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