Predictors of Atrial Fibrillation Developing in Hospital Stage After Coronary Artery Bypass Surgery

A R Mingalimova1, G A Nefedova2, O M Drapkina1

  • 1National Medical Research Center of Therapy and Preventive Medicine.

Kardiologiia
|December 13, 2023
PubMed

Insights

Predictors for in-hospital atrial fibrillation (AF) after coronary artery bypass grafting (CABG) include left ventricular hypertrophy (LVH), elevated left ventricular mass and left atrial volume indexed to body surface area, and right atrial appendage fibrosis. These factors aid in predicting AF development post-CABG.

Area of Science:

  • Cardiology
  • Cardiac Surgery
  • Electrophysiology

Background:

  • Atrial fibrillation (AF) is a common complication following coronary artery bypass grafting (CABG).
  • Identifying predictors of AF is crucial for risk stratification and management in patients undergoing CABG.
  • Previous studies have explored various risk factors, but specific independent predictors post-CABG require further elucidation.

Purpose of the Study:

  • To identify independent predictors associated with in-hospital atrial fibrillation (AF) after coronary artery bypass grafting (CABG).
  • To develop a predictive model for AF development in patients undergoing CABG.

Main Methods:

  • Retrospective study of 80 patients undergoing elective CABG.
  • Patients were divided into groups with and without in-hospital AF.
  • Evaluations included electrocardiography (ECG), echocardiography (EchoCG) for left ventricular (LV) geometry and mass, left atrial (LA) volume, and histological analysis of right atrial (RA) appendage fibrosis.

Main Results:

  • Patients who developed AF showed significantly higher LV mass to body surface area (LVMM/BSA) and LA volume to BSA ratios.
  • Concentric LV hypertrophy (LVH) was more prevalent in the AF group (52.63%) compared to the non-AF group (p<0.0001).
  • Moderate to severe RA appendage interstitial fibrosis was significantly associated with AF development (p = 0.003).
  • Independent predictors identified were LVH, LVMM/BSA ratio ≥97 g/m², LA volume/BSA ratio ≥34.4 ml/m², and RA appendage interstitial fibrosis score ≥2.
  • A regression model incorporating these predictors demonstrated high sensitivity (86.67%) and specificity (78.26%) for predicting AF.

Conclusions:

  • In low-risk patients undergoing CABG, specific echocardiographic parameters (LVMM/BSA, LA volume/BSA) and histological findings (RA fibrosis) are independent predictors of in-hospital AF.
  • The presence of LVH is also a significant predictor of post-CABG AF.
  • A predictive model based on these factors can effectively identify patients at risk for developing AF during hospitalization after CABG.