Risk factor analysis and nomogram development for survival prediction in obese patients with severe acute pancreatitis: a retrospective study.

ABSTRACT:

Background

Currently, there is a lack of nomograms specifically designed to predict mortality risk in obese patients with severe acute pancreatitis (SAP). The aim of our study is to develop a predictive model tailored to this population, enabling more accurate anticipation of overall survival.

Methods

The study included obese patients diagnosed with SAP between January 1, 2016, and December 31, 2023. Risk factors were identified through least absolute shrinkage and selection operator regression analysis. Subsequently, a novel nomogram model was developed through multivariable logistic regression analysis. An independent cohort was used for external validation. The predictive performance of the nomogram was evaluated using metrics such as the receiver operating characteristic

SUBMITTER: Zhu Q 

PROVIDER: S-EPMC12465976 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature