Su-Kiat Chua1, Kou-Gi Shyu, Ming-Jen Lu, Li-Ming Lien, Chia-Hsun Lin, Hung-Hsing Chao, Huey-Ming Lo. 1. Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Division of Cardiology, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan; Department of General Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.
Abstract
OBJECTIVES: The presence of postoperative atrial fibrillation predicts a higher short- and long-term mortality rates; however, no scoring system has been used to discriminate patients at high risk for this complication. The aim of this study was to investigate whether the CHADS2 and CHA2DS2-VASc scores are useful risk assessment tools for new-onset atrial fibrillation after cardiac surgery. METHODS: A total of 277 consecutive patients who underwent cardiac surgery were prospectively included in this risk stratification study. We calculated the CHADS2 and CHA2DS2-VASc scores from the data collected. The primary end point was the development of postoperative atrial fibrillation within 30 days after cardiac surgery. RESULTS: Eighty-four (30%) of the patients had postoperative atrial fibrillation at a median of 2 days (range, 0-27 days) after cardiac surgery. The CHADS2 and CHA2DS2-VASc scores were significant predictors of postoperative atrial fibrillation in separate multivariate regression analyses. The Kaplan-Meier analysis obtained a higher postoperative atrial fibrillation rate when based on the CHADS2 and CHA2DS2-VASc scores of at least 2 than when based on scores less than 2 (both log rank, P < .001). In addition, the CHA2DS2-VASc scores could be used to further stratify the patients with CHADS2 scores of 0 or 1 into 2 groups with different postoperative atrial fibrillation rates at a cutoff value of 2 (12% vs 32%; P = .01). CONCLUSIONS: CHADS2 and CHA2DS2-VASc scores were predictive of postoperative atrial fibrillation after cardiac surgery and may be helpful for identifying high-risk patients.
OBJECTIVES: The presence of postoperative atrial fibrillation predicts a higher short- and long-term mortality rates; however, no scoring system has been used to discriminate patients at high risk for this complication. The aim of this study was to investigate whether the CHADS2 and CHA2DS2-VASc scores are useful risk assessment tools for new-onset atrial fibrillation after cardiac surgery. METHODS: A total of 277 consecutive patients who underwent cardiac surgery were prospectively included in this risk stratification study. We calculated the CHADS2 and CHA2DS2-VASc scores from the data collected. The primary end point was the development of postoperative atrial fibrillation within 30 days after cardiac surgery. RESULTS: Eighty-four (30%) of the patients had postoperative atrial fibrillation at a median of 2 days (range, 0-27 days) after cardiac surgery. The CHADS2 and CHA2DS2-VASc scores were significant predictors of postoperative atrial fibrillation in separate multivariate regression analyses. The Kaplan-Meier analysis obtained a higher postoperative atrial fibrillation rate when based on the CHADS2 and CHA2DS2-VASc scores of at least 2 than when based on scores less than 2 (both log rank, P < .001). In addition, the CHA2DS2-VASc scores could be used to further stratify the patients with CHADS2 scores of 0 or 1 into 2 groups with different postoperative atrial fibrillation rates at a cutoff value of 2 (12% vs 32%; P = .01). CONCLUSIONS: CHADS2 and CHA2DS2-VASc scores were predictive of postoperative atrial fibrillation after cardiac surgery and may be helpful for identifying high-risk patients.
Authors: Lucrecia María Burgos; Andreina Gil Ramírez; Victoria Galizia Brito; Leonardo Seoane; Juan Francisco Furmento; Juan Espinoza; Mirta Diez; Mariano Benzadon; Daniel Navia Journal: J Atr Fibrillation Date: 2020-08-31
Authors: Yau-Lam Alex Chau; Ji Won Yoo; Ho Chuen Yuen; Khalid Bin Waleed; Dong Chang; Tong Liu; Fang Zhou Liu; Gary Tse; Sharen Lee; Ka Hou Christien Li Journal: J Geriatr Cardiol Date: 2021-05-28 Impact factor: 3.327
Authors: Ingrid E Christophersen; Xiaoyan Yin; Martin G Larson; Steven A Lubitz; Jared W Magnani; David D McManus; Patrick T Ellinor; Emelia J Benjamin Journal: Am Heart J Date: 2016-05-17 Impact factor: 4.749