loading page

A RISK INDEX TO PREDICT ATRIAL FIBRILLATION AFTER CARDIAC SURGERY
  • +5
  • Le Thanh Hung,
  • Abdulmueti Alshareef,
  • Tareq AL-Ahdal,
  • Pham Tho Tuan Anh,
  • Do Quang Huan,
  • Do Van Trang,
  • Sy Hoang,
  • Nguyen Tien Huy
Le Thanh Hung
Heart Institute, Ho Chi Minh City, Vietnam
Author Profile
Abdulmueti Alshareef
University of Zawia College of Human Medicine
Author Profile
Tareq AL-Ahdal
Jordan University of Science and Technology
Author Profile
Pham Tho Tuan Anh
Cho Ray Hospital
Author Profile
Do Quang Huan
Heart Institute, Ho Chi Minh City, Vietnam
Author Profile
Do Van Trang
Ben Cat Hospital, Binh Duong Province, Vietnam
Author Profile
Sy Hoang
Ho Chi Minh City Medical and Pharmaceutical University Hospital
Author Profile
Nguyen Tien Huy
Author Profile

Abstract

Background: Atrial fibrillation is the most common complication after cardiac surgery and is associated with an increased risk of postoperative adverse events. The objective of this study was to develop a risk index to predict atrial fibrillation after cardiac surgery. Methods: We performed a prospective cohort study. A total of 405 patients who had undergone adult cardiac surgery from 2015 September to 2016 August at Heart Institute of HCMC and Cho Ray Hospital. Results: In the overall, 98 patients developed POAF (24.2%). The risk score included three significant risk factors (age, left atrial diameter > 41mm, Coronary Artery Bypass Graft with concomitant mitral valve replacement or repair). The point values for were 1 for the age  60, 1 for CABG with concomitant mitral valve replacement or repair and 1 for left atrial diameter > 41mm, and the total risk score ranges from 0 to 3 (AUC = 0.69, 95% CI: 0.63 – 0.75), the best cutoff point was 1 The incidences of POAF associated with scores were: patient with a score of 0, predicted probabilities of POAF was 8.6%; a score of 1: 30.1%; a score of 2: 40.8%; a score of 3: 58.3%. Bootstrapping with 5,000 samples confirmed the final model provided consistent predictions. Conclusions: We developed a simple risk score based on clinical variables and these variables can be collected easily before surgery. This risk score may help accurately stratifies the risk of POAF to identify patients at high risk of POAF before cardiac surgery.