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    Predicting Postoperative Atrial Fibrillation Using HARMS2-AF Score
    (Kare Publ, 2024) Oncel, Can Ramazan; Koseoglu, Cemal; Dagasan, Goksel; Coner, Ali; Ayhan, Selcuk; Akkaya, Ozgur; Karahan, Oguz
    Background Postoperative atrial fibrillation (POAF) remains a common complication after cardiac surgery. The ability to accurately identify patients at risk through previous risk scores is limited. This study aimed to evaluate the new HARMS(2)-AF risk score to predict POAF after coronary artery bypass grafting (CABG) surgery. Methods In this retrospective cohort study, we included 265 patients undergoing CABG surgery from 2022-2023. Data were obtained from the medical files of the patients and hospital records. Each patient was assigned a HARMS(2)-AF risk score. A univariate and multivariate regression analyses were done to analyze independent predictors of POAF. Results Of 265 patients, 49 had postoperative atrial fibrillation. HARMS(2)-AF score was significantly higher in patients with POAF. Age, sleep apnea, left atrial diameter (LAd), and HARMS(2)-AF score were independently associated with POAF. A HARMS(2)-AF score >= 4.5 predicted POAF with 91% sensitivity and 64% specificity (AUC = 0.787, 95% CI = 0.731-0.842, P < .001). Conclusion The HARMS(2)-AF score is a strong predictor of atrial fibrillation (AF) development after isolated CABG surgery. It can be used as a novel stratification tool to estimate AF after cardiac surgery.