ArticleInternational journal of general medicine2022
Predicting New-Onset Postoperative Atrial Fibrillation Following Isolated Coronary Artery Bypass Grafting: Development and Validation of a Novel Nomogram.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review and meta-analysis of differences between men and women in short-term outcomes following coronary artery bypass graft surgery.Scientific reports · 2024Pooled 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
- Development and validation of a clinical prediction model for postoperative atrial fibrillation after lung cancer surgery: a machine-learning-based study.Frontiers in surgery · 2026Article
- Using preoperative four-dimensional automated left atrial quantification echocardiography to predict postoperative atrial fibrillation in patients undergoing cardiac surgery.Quantitative imaging in medicine and surgery · 2025Article
- Performance of an AI prediction tool for new-onset atrial fibrillation after coronary artery bypass grafting.EClinicalMedicine · 2025Article
- Risk factors analysis and nomogram model construction for postoperative atrial fibrillation after off-pump coronary artery bypass grafting.Pakistan journal of medical sciences · 2025Article
- Predictive Value of Age, Creatinine, and Ejection Fraction I and II Scores for Postoperative Atrial Fibrillation in Isolated On-Pump Coronary Artery Bypass Grafting Surgery: A Multicenter Retrospective Study.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2025Observational
- Development and validation a nomogram for predicting new-onset postoperative atrial fibrillation following pulmonary resection.BMC surgery · 2024Article
- Article
- Machine Learning to Identify Patients at Risk of Developing New-Onset Atrial Fibrillation after Coronary Artery Bypass.Journal of cardiovascular development and disease · 2023Article
- Comparison of in-hospital outcomes after coronary artery bypass graft surgery in elders and younger patients: a multicenter retrospective study.Journal of cardiothoracic surgery · 2023Article
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9 authors.
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Abstract
objectiveTo select variables associated with new-onset postoperative atrial fibrillation (POAF) following isolated coronary artery bypass grafting (CABG) and develop a nomogram for risk prediction in a Chinese population.
methodsThe study retrospectively enrolled 4854 consecutive patients undergoing isolated CABG from February 2018 to September 2019, they were divided into derivation cohort and validation cohort with a 3:1 ratio according to the order of operation date. In the derivation cohort, significant variables were selected by use of the multivariate logistic backward stepwise regression analysis and a nomogram model was built on the strength of the results. The model performance was assessed in terms of discrimination and calibration. Besides, we compared the discriminative ability for POAF of the nomogram with established prediction models (CHA2DS2-VASc and HATCH scores) in the two cohorts.
resultsPOAF occurred in 1025 (28.2%) out of 3641 patients in the derivation cohort, and in 337 (27.8%) out of 1213 patients in the validation cohort. A nomogram, composed of eight prognostic variables, namely age, sex, heart rate, hypertension, left ventricular ejection fraction (LVEF) <50%, left atrial diameter (LAD) > 40mm, estimated glomerular filtration rate (eGFR) level, and on-pump surgery, was constructed from the derivation cohort. The nomogram had substantial discriminative ability in derivation and validation cohorts with the area under the receiver operating characteristic curves (AUCs) of 0.661 (95% confidence interval, 0.642-0.681) and 0.665 (95% confidence interval, 0.631-0.699), respectively, and showed well-fitted calibration curves. Compared with CHA2DS2-VASc, HATCH and POAF scores, respectively, the nomogram had superior discrimination performance.
conclusionWe constructed a novel nomogram with improved accuracy for predicting the risk of POAF following isolated CABG, which might help clinicians predict individual probability of POAF and achieve effective prophylaxis.
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