ArticleAnatolian journal of cardiology2024
Predicting Postoperative Atrial Fibrillation Using HARMS2-AF Score.
Article in Anatolian journal of cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Incidence and Predictors of Postoperative Atrial Fibrillation Following Cardiac Surgery: A Systematic Review.Annals of cardiac anaesthesia · 2026Pooled it
- Machine learning and Regression-Based models for prediction of postoperative atrial fibrillation following coronary artery bypass grafting: A systematic review and meta-analysis.International journal of cardiology. Cardiovascular risk and prevention · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostoperative 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 HARMS2-AF risk score to predict POAF after coronary artery bypass grafting (CABG) surgery.
methodsIn 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 HARMS2-AF risk score. A univariate and multivariate regression analyses were done to analyze independent predictors of POAF.
resultsOf 265 patients, 49 had postoperative atrial fibrillation. HARMS2-AF score was significantly higher in patients with POAF. Age, sleep apnea,a left atrial diameter (LAd), and HARMS2-AF score were independently associated with POAF. A HARMS2-AF score ≥ 4.5 predicted POAF with 91% sensitivity and 64% specificity (AUC = 0.787, 95% CI = 0.731-0.842, P < .001).
conclusionThe HARMS2-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.
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Registered trials
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