ArticleClinical cardiology2017
Hemodynamic parameters predict the risk of atrial fibrillation after cardiac surgery in adults.
Article in Clinical cardiology, 2017. 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, 12 citations in OpenAlex.
- Prediction Models for Postoperative Atrial Fibrillation After Cardiac Surgery: A Systematic Review and Critical Appraisal.Journal of clinical medicine · 2026Review
- Preoperative Inflammatory Burden Index Predicts Atrial Fibrillation After Coronary Artery Bypass Grafting: A Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Atrial Fibrillation After Coronary Artery Bypass Grafting and Its Relationship with Hospital Complications in São Paulo State.Brazilian journal of cardiovascular surgery · 2024Observational
- Hemodynamic parameters predict the risk of atrial fibrillation after cardiac surgery in adults.Clinical cardiology · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPostoperative atrial fibrillation (POAF) is a common complication following cardiac surgery and is associated with poorer prognosis. This study attempted to evaluate whether hemodynamic parameters determined by a right heart catheter predict the occurrence of POAF. HYPOTHESIS: We hypothesized that atrial fibrillation after cardiac surgery can be predicted by hemodynamic parameters determined by a right heart catheter.
methodsBetween October 2015 and January 2017, 126 patients with preoperative sinus rhythm undergoing coronary artery bypass grafting and/or aortic valve replacement were enrolled in this study. Complete echocardiographic examination was performed preoperatively, and hemodynamic parameters were recorded via a right heart catheter before anesthesia induction. Postoperative telemetry strips and electrocardiogram were used to detect atrial fibrillation until discharge. Multivariate logistic regression was used to identify risk factors of POAF.
resultsThe overall incidence of POAF was 40/126 (31.7%). Multivariate logistic regression analysis determined that left atrial dimension (LAD) (adjusted odds ratio [OR]: 1.118, 95% confidence interval [CI]: 1.020-1.227, P = 0.018), pulmonary capillary wedge pressure (PCWP) (adjusted OR: 1.225, 95% CI: 1.082-1.387, P = 0.001), and pulmonary artery systolic pressure (PASP) (adjusted OR: 1.076, 95% CI: 1.019-1.137, P = 0.008) were significant predictors of POAF.
conclusionsThe present study suggested that LAD, PCWP, and PASP were robust predictors of POAF. These parameters may indicate a patient's susceptibility toward developing POAF and help to identify patients who need preventive treatment.
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