A Predictive Model of Reintubation After Cardiac Surgery Using the Electronic Health Record.

ABSTRACT:

Background

Reintubation and prolonged intubation after cardiac surgery are associated with significant complications. Despite these competing risks, providers frequently extubate patients with limited insight into the risk of reintubation at the time of extubation. Achieving timely, successful extubation remains a significant clinical challenge.

Methods

Based on an analysis of 2835 patients undergoing cardiac surgery at our institution between November 2017 and July 2020, we developed a model for an individual's risk of reintubation at the time of extubation. Predictors were screened for inclusion in the model based on clinical plausibility and availability at the time of extubation. Rigorous data reduction methods were used to create a model that could be easily integrated

SUBMITTER: Freundlich RE 

PROVIDER: S-EPMC8792101 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature