A prediction model for predicting the risk of acute respiratory distress syndrome in sepsis patients: a retrospective cohort study.

ABSTRACT:

Background

The risk of death in sepsis patients with acute respiratory distress syndrome (ARDS) was as high as 20-50%. Few studies focused on the risk identification of ARDS among sepsis patients. This study aimed to develop and validate a nomogram to predict the ARDS risk in sepsis patients based on the Medical Information Mart for Intensive Care IV database.

Methods

A total of 16,523 sepsis patients were included and randomly divided into the training and testing sets with a ratio of 7:3 in this retrospective cohort study. The outcomes were defined as the occurrence of ARDS for ICU patients with sepsis. Univariate and multivariate logistic regression analyses were used in the training set to identify the factors that were associated with ARDS risk, which were adopted to es

SUBMITTER: Xu C 

PROVIDER: S-EPMC9994387 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature