Risk factors and nomogram for predicting mechanical ventilation in severe pneumonia.

ABSTRACT:

Background

Severe pneumonia often leads to acute respiratory failure requiring mechanical ventilation (MV), significantly increasing patient morbidity and mortality. Early prediction of MV requirement could optimize patient management and resource allocation. This study aimed to identify key risk factors and develop a practical nomogram model to predict the need for mechanical ventilation among patients with severe pneumonia.

Methods

In this retrospective study, patients with severe pneumonia admitted between January 2021 and December 2024 were analyzed at a single tertiary institution. Patients were stratified based on the use of MV within 24 h of admission. Multivariable logistic regression identified independent predictors of MV, which were used to construct a nomogram. M

SUBMITTER: Chen YJ 

PROVIDER: S-EPMC12477012 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature