Nomogram model for predicting post-intubation cardiac arrest in the emergency department: a retrospective study.

ABSTRACT:

Objective

Cardiac arrest is the most serious complication of endotracheal intubation in the emergency department (ED). The aim of this study was to develop and validate a nomogram model for predicting post-intubation cardiac arrest (PICA) in ED setting.

Methods

We conducted a retrospective study of patients who underwent endotracheal intubation in the ED between October 2022 and March 2024. Data collected including patient demographics, diagnosis, pre-induction, and post-intubation clinical parameters. PICA was defined as cardiac arrest occurred within 60 min of endotracheal intubation. Least absolute shrinkage and selection operator (LASSO) regression was utilized to identify potential predictor variables. Multivariable logistic regression was used to develop a nomogram ris

SUBMITTER: Lou X 

PROVIDER: S-EPMC12547272 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature