Preoperative poor coronary collateral circulation can predict the development of atrial fibrillation after coronary artery bypass graft surgery

Coron Artery Dis. 2013 Nov;24(7):572-6. doi: 10.1097/MCA.0000000000000025.

Abstract

Aim: Coronary collateral circulation (CCC) helps to protect and preserve myocardium from episodes of ischemia, and reduce angina symptoms, arrhythmia, and cardiovascular events. Atrial fibrillation (AF) is the most frequent form of arrhythmia after coronary artery bypass graft (CABG) surgery. The aim of this study was to investigate the association between CCC and the development of AF in patients undergoing CABG surgery.

Methods: A total of 165 patients (mean age 63±10 years, 74% men, 26% women) who were undergoing CABG surgery at our department were enrolled into this study. Patients were categorized into two groups according to preoperative CCC using the Rentrop method.

Results: Of the patients, 79 had poor CCC and 89 had good CCC. The AF incidence rate in the poor collateral group was significantly higher than that in the good collateral group [37 (49%) vs. 12 (14%), P<0.001]. In univariate analysis, age, left atrium size, and poor CCC grade were associated with AF after CABG surgery. Multivariate analysis showed that only poor CCC grade (odds ratio: 11.500; 95% confidence interval 3.977-33.253, P<0.001) was an independent predictor of the development of AF after adjustment of other potential confounders in patients undergoing CABG surgery.

Conclusion: The present study showed that preoperative poor CCC is a powerful predictor of the development of AF after CABG surgery.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Atrial Fibrillation / epidemiology*
  • Chi-Square Distribution
  • Collateral Circulation*
  • Coronary Artery Bypass / adverse effects*
  • Coronary Artery Disease / diagnosis
  • Coronary Artery Disease / physiopathology
  • Coronary Artery Disease / surgery*
  • Coronary Circulation
  • Female
  • Humans
  • Incidence
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Odds Ratio
  • Risk Factors
  • Turkey / epidemiology