Development and external validation of machine learning-based models to predict patients with cellulitis developing sepsis during hospitalisation.

ABSTRACT:

Objective

Cellulitis is the most common cause of skin-related hospitalisations, and the mortality of patients with sepsis remains high. Some stratification models have been developed, but their performance in external validation has been unsatisfactory. This study was designed to develop and compare different models for predicting patients with cellulitis developing sepsis during hospitalisation.

Design

This is a retrospective cohort study.

Setting

This study included both the development and the external-validation phases from two independent large cohorts internationally.

Participants and methods

A total of 6695 patients with cellulitis in the Medical Information Mart for Intensive care (MIMIC)-IV database were used to develop models with different machine-le

SUBMITTER: Chen X 

PROVIDER: S-EPMC11227788 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature