Performance of risk prediction models for post-operative mortality in patients undergoing liver resection.

ABSTRACT:

Background

Liver resection is commonly performed for hepatic tumors, however preoperative risk stratification remains challenging. We evaluated the performance of contemporary prediction models for short-term mortality after liver resection in patients with and without cirrhosis.

Methods

This retrospective cohort study examined National Surgical Quality Improvement Program data. We included patients who underwent liver resections from 2014 to 2019. VOCAL-Penn, MELD, MELD-Na, ALBI, and Mayo risk scores were evaluated in terms of model discrimination and calibration for 30-day post-operative mortality.

Results

A total 15,198 patients underwent liver resection, of whom 249 (1.6%) experienced 30-day post-operative mortality. The VOCAL-Penn score had the highest discrimina

SUBMITTER: Mahmud N 

PROVIDER: S-EPMC9994627 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature