Development and validation of a nomogram for predicting postoperative atrial fibrillation in trauma patients admitted to the ICU.

ABSTRACT:

Background

Postoperative atrial fibrillation (POAF) in trauma patients is closely related to poor prognosis. This study aims to identify the risk factors of POAF and establish a predictive model.

Methods

We extracted data from the MIMIC-IV 2.2 database on ICU trauma patients who underwent surgery. The patients were randomly divided into a training set and a validation set at a ratio of 7:3. We used least absolute shrinkage and selection operator (LASSO) regression combined with multivariable logistic regression to select predictive factors. Receiver operating characteristic (ROC) curves, calibration curves, and decision curves were used to evaluate the developed nomogram model.

Results

Among 5170 included patients, POAF incidence was 9.15%. POAF was associated with si

SUBMITTER: Xiong X 

PROVIDER: S-EPMC12914890 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature