Predictors of atrial fibrillation after coronary artery bypass surgery

Sait Mesut Dogan1, Mustafa Buyukates, Ozer Kandemir

  • 1Department of Cardiology, Faculty of Medicine, Zonguldak Karaelmas University, Zonguldak, Turkey. smdogan@yahoo.com

Insights

Predicting postoperative atrial fibrillation after coronary artery bypass grafting is crucial. Older age, reduced ejection fraction, and P-wave changes independently predict this common arrhythmia.

Area of Science:

  • Cardiology
  • Cardiac Surgery
  • Electrophysiology

Background:

  • Atrial fibrillation is a common complication after coronary artery bypass grafting (CABG), increasing morbidity and healthcare costs.
  • Several factors are linked to the onset of atrial fibrillation post-CABG.
  • Identifying predictive factors is essential for risk stratification and management.

Purpose of the Study:

  • To prospectively identify clinical, demographic, laboratory, and echocardiographic factors that predict the occurrence of atrial fibrillation after CABG.
  • To establish independent predictors of postoperative atrial fibrillation.

Main Methods:

  • Prospective evaluation of 57 patients in sinus rhythm before CABG.
  • Assessment of clinical, demographic, laboratory (N-terminal proBrain natriuretic peptide), and echocardiographic data.
  • Measurement of P-wave duration (Pmax, Pmin) and calculation of P-wave dispersion from 12-lead ECG.

Main Results:

  • Postoperative atrial fibrillation occurred in 10 (17%) patients.
  • Patients with atrial fibrillation were older, had lower ejection fraction, higher N-terminal proBrain natriuretic peptide levels, longer Pmax, and greater P-wave dispersion.
  • Multivariate analysis identified age, lower ejection fraction, left atrial enlargement, longer Pmax, and P-wave dispersion as independent predictors.

Conclusions:

  • Age, impaired left ventricular function (ejection fraction), and specific ECG parameters (Pmax, P-wave dispersion) are significant independent predictors of atrial fibrillation following CABG.
  • These findings can aid in identifying high-risk patients for targeted interventions.
Abstract

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