Risk prediction models for extubation failure in critically ill patients on mechanical ventilation: a systematic review.

ABSTRACT:

Background

Failure to extubate successfully from mechanical ventilation is a critical event associated with poor prognosis in ICU patients, significantly prolonging hospital stays and increasing mortality rates. It is widely accepted in academic circles that developing prediction models for extubation failure can facilitate precise extubation decisions. Despite the rapid proliferation of relevant prediction models, their methodological quality and bedside applicability remain ambiguous.

Objective

This study aims to outline the predictive factors associated with the risk of extubation failure in patients undergoing mechanical ventilation in the Intensive Care Unit (ICU) and to summarize the existing predictive models.

Methods

We searched the China National Knowledge In

SUBMITTER: Zeng X 

PROVIDER: S-EPMC12675440 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature