A novel nomogram prediction model for postoperative atrial fibrillation in patients undergoing laparotomy.

ABSTRACT:

Background

Postoperative atrial fibrillation (POAF) is an ordinary complication of surgery, particularly cardiac surgery. It significantly increases in-hospital mortality and costs. This study aimed to establish a nomogram prediction model for POAF in patients undergoing laparotomy. The model is expected to identify individuals at a high risk of POAF before surgery in clinical practice.

Methods

A retrospective observational case-control study involving 230 adult patients (60 patients with POAF, 120 patients in the control group, and 50 patients in the validation group) who underwent laparotomy was retrieved from two hospitals. Independent risk variables for POAF were investigated using logistic regression and the least absolute shrinkage and selection operator (LASSO) regres

SUBMITTER: Wang L 

PROVIDER: S-EPMC11613476 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature