Risk prediction models for prolonged mechanical ventilation following coronary artery bypass grafting surgery: a systematic review and meta-analysis.

ABSTRACT:

Objective

Prolonged mechanical ventilation (PMV) results in significant morbidity, mortality, and associated hospital costs. Models predicting PMV following Coronary artery bypass grafting (CABG) surgery were growing. However, the reliability, validity and clinical applicability of these models remain unclear. This systematic review and meta-analysis aim to provide a comprehensive quality assessment of PMV-risk prediction models for patients after CABG.

Methods

Nine relevant domestic and international databases were systematically searched from inception until November 4, 2024 using PICOTS format. The Prediction Model Risk of Bias Assessment Tool (PROBAST) checklist was employed to evaluate the risk of bias and applicability of each study. A meta-analysis of the area under t

SUBMITTER: Jia Y 

PROVIDER: S-EPMC12463890 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature