Predicting atrial fibrillation after cardiac surgery using a simplified risk index
| Autor: | Sairah Zia, Nguyen Tien Huy, Le Thanh Hung, Pham Tho Tuan Anh, Abdulmueti Alshareef, Tareq Mohammed Ali Al-Ahdal, Hoang Van Sy, Do Van Trang, Do Quang Huan |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
medicine.medical_specialty medicine.medical_treatment 030204 cardiovascular system & hematology 03 medical and health sciences Electrocardiography 0302 clinical medicine Postoperative Complications Risk Factors Internal medicine Atrial Fibrillation medicine Humans Atrial Appendage 030212 general & internal medicine Prospective Studies Cardiac Surgical Procedures Adverse effect Prospective cohort study Framingham Risk Score business.industry Mitral valve replacement Atrial fibrillation medicine.disease Cardiac surgery Concomitant Cardiology Cardiology and Cardiovascular Medicine Complication business |
| Zdroj: | Journal of electrocardiology. 67 |
| ISSN: | 1532-8430 |
| Popis: | Background Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery and can lead to increased risk of postoperative adverse events. However, atrial fibrillation and postoperative adverse events are preventable. In this study, a risk index was developed to predict atrial fibrillation after cardiac surgery. Methods A prospective cohort study of 405 patients who had undergone adult cardiac surgery from 2015 September to 2016 August at Heart Institute of HCMC and Cho Ray Hospital were obtained. In order to predict POAF, a logistic regression model was developed, and a risk score was derived and validated by bootstrap. Results In our study, 98 patients developed POAF (24.2%). The risk score included three significant risk factors (age ≥ 60, left atrial diameter > 41 mm, Coronary Artery Bypass Graft with concomitant mitral valve replacement or repair) that were consistent with other reports. Each of these risk factors was assigned one point. The total risk score ranges from 0 to 3 (AUC = 0.69, 95% CI: 0.63–0.75) with the best cutoff point at 1. According to this scoring system, the incidences of POAF in patients associated with each score of 0, 1, 2, and 3 were 8.6%, 30.1%, 40.8%, and 58.3% respectively. Bootstrapping with 5000 samples confirmed the final model provided was consistent with predictions. Conclusions We developed and validated a simple risk score based on clinical variables that can be obtained before surgery in order to accurately predict the risk of POAF in patients undergoing cardiac surgery. |
| Databáze: | OpenAIRE |
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