Prediction of Postcoronary Artery Bypass Grafting Atrial Fibrillation: POAFRiskScore Tool

Ahmet Kadir Arslan1, Nevzat Erdil2, Emek Guldogan1

  • 1Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, Malatya, Turkey.

Insights

This study identified risk factors for postoperative atrial fibrillation (POAF) after heart bypass surgery and developed a tool to predict POAF risk before surgery. The POAFRiskScore v.1.0 aids clinicians in preoperative risk assessment.

Area of Science:

  • Cardiology
  • Medical Informatics
  • Health Services Research

Background:

  • Atrial fibrillation (AF) is a common complication after coronary artery bypass grafting (CABG), with varying reported incidence and risk factors.
  • Accurate prediction of postoperative AF (POAF) is crucial for patient management and risk stratification.

Purpose of the Study:

  • To analyze risk factors associated with POAF following CABG.
  • To develop and present a software tool for predicting POAF risk preoperatively.

Main Methods:

  • Retrospective analysis of 1,667 patients undergoing CABG.
  • Multivariable logistic regression to identify independent risk factors for POAF.
  • Development of a web-based prediction tool using R Shiny.

Main Results:

  • The incidence of POAF was 12.2%.
  • Independent risk factors for POAF included preoperative carotid artery stenosis (PCAS), chronic obstructive pulmonary disease (COPD), body mass index, age, and platelet count.
  • Significant univariate associations were found with age, blood urea nitrogen, platelets, triglycerides, COPD, and PCAS.

Conclusions:

  • The developed tool, POAFRiskScore v.1.0, can assist clinicians in predicting preoperative POAF risk.
  • Future updates with larger datasets are expected to enhance prediction robustness.
Abstract

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