ArticlePakistan journal of medical sciences2025
Risk factors analysis and nomogram model construction for postoperative atrial fibrillation after off-pump coronary artery bypass grafting.
Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- 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
- The Role of the CHAPakistan journal of medical sciences · 2026Article
- Atlas of lysine propionylation of human right atrium and ALDH6A1-NADH pathway in new-onset atrial fibrillation after coronary surgery.Communications biology · 2025Article
- Development and internal validation of an OPCABG-specific prediction model for postoperative atrial fibrillation in Chinese patients: a retrospective cohort study.BMC cardiovascular disorders · 2025Article
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4 authors.
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Abstract
Objective: To explore the risk factors associated with postoperative atrial fibrillation (POAF) after off-pump coronary artery bypass grafting (OPCABG) and to construct a nomogram predictive model. Methods: In this retrospective cohort study, clinical data of 193 patients who received OPCABG in Huai'an First People's Hospital Affiliated to Nanjing Medical University from June 2021 to November 2023 were retrospectively analyzed. Based on the established diagnosis of POAF, patients were divided into the POAF group (n=75) and the non-POAF group (n=118). Logistic regression analysis was used to screen for risk factors for POAF after OPCABG. A nomogram prediction model for POAF after OPCABG was constructed based on the independent risk factors, and the model was validated by calibration curve and the area under the receiver operating characteristic curve (AUC). Results: The incidence of POAF after OPCABG in the cohort was 38.86% (75/193). Age, diabetes, history of percutaneous coronary intervention (PCI), duration of operation, length of hospital stay and Conclusions: Age, diabetes, history of PCI, duration of operation, length of hospital stay and LVEF are independent risk factors for POAF after OPCABG. The constructed nomogram model has a good predictive performance for predicting POAF in patients after OPCABG.
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