ArticleJournal of thoracic disease2023
Development and validation of a diagnostic model based on left atrial diameter to predict postoperative atrial fibrillation after off-pump coronary artery bypass grafting.
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Incidence and Predictors of Postoperative Atrial Fibrillation Following Cardiac Surgery: A Systematic Review.Annals of cardiac anaesthesia · 2026Pooled 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
- The Value of Left Atrial Strain and Strain Rate for Prediction of Early Postoperative Atrial Fibrillation Following Isolated Off-Pump Coronary Artery Bypass Grafting in Low-Risk Patients.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026Article
- Prediction Models for Postoperative Atrial Fibrillation After Cardiac Surgery: A Systematic Review and Critical Appraisal.Journal of clinical medicine · 2026Review
- 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
- Multilevel predictors categorization for post-CABG atrial fibrillation prediction.Biology methods & protocols · 2026Article
- 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
- 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
- Risk factor identification and prediction of pleural effusion following coronary artery bypass grafting.American journal of translational research · 2025Article
- Low-normal free triiodothyronine as a predictor of post-operative atrial fibrillation after surgical coronary revascularization.Journal of thoracic disease · 2024Article
- Predicting postoperative atrial fibrillation after off-pump coronary artery bypass surgery-an ongoing story.Journal of thoracic disease · 2023Article
- Gene modules and genes associated with postoperative atrial fibrillation: weighted gene co-expression network analysis and circRNA-miRNA-mRNA regulatory network analysis.Journal of thoracic disease · 2023Article
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7 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Background: This cohort study collected the clinical data of patients who underwent off-pump coronary artery bypass grafting (OPCABG) during hospitalization to observe the occurrence of postoperative atrial fibrillation (POAF), construct a POAF prediction model for CABG patients based on the left atrial diameter (LAD), and assist clinicians in making better medical decisions. Methods: In this study, all patients who had no prior history of arrhythmia and who had received isolated OPCABG between May 1, 2021, and February 1, 2022, at Beijing Anzhen Hospital Affiliated to Capital Medical University (n=749) were reviewed. Depending on an optimal cutoff obtained from receiver operating characteristic (ROC) curve analysis, patients were separated into two groups: a group with POAF (n=188) and a group without POAF (n=561). The incidence of POAF was then compared. Prediction models were built, and nomograms were plotted was plotted. Model evaluation, including calibration curve and decision curve analysis, was performed. Results: In all, 188 out of 749 (25.1%) patients who underwent cardiac surgery experienced POAF. Multifactorial logistic regression analysis showed that age ≥66 years, LAD ≥39 mm, and post-OPCABG atrial fibrillation (AF) were independently associated. The prognostic nomogram model showed good concordance index (C-index) scores. Decision curve analysis suggested the clinical benefit of the prediction models. Conclusions: In this study, a prediction model for patients with POAF after OPCABG was assessed, which was shown to make more accurate predictions compared with the original risk prediction system. It may assist doctors to optimize management of patients with POAF.
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