Predictors of atrial fibrillation following coronary artery bypass surgery
- PMID: 21169910
- PMCID: PMC3524673
- DOI: 10.12659/msm.881329
Predictors of atrial fibrillation following coronary artery bypass surgery
Abstract
Background: New-onset atrial fibrillation is the most common form of rhythm disturbance following coronary artery bypass grafting surgery (CABG). It is still unclear which factors have a significant impact on its occurrence after this procedure. The aim of this study was to evaluate clinical predictors of postoperative atrial fibrillation (POAF) after myocardial revascularization.
Material/methods: We performed a retrospective analysis of 322 patients who underwent the first CABG operation without baseline atrial fibrillation. All subjects underwent laboratory blood tests, echocardiography and selective coronarography with ventriculography. Patients were continuously electrocardiographically monitored during the first 48-72 h after the operation for the occurrence of POAF.
Results: POAF was diagnosed in 72 (22.4%) of the patients. Multivariate logistic regression analysis was used to identify the following independent clinical predictors of POAF: age≥65 years (OR 1.78; 95%CI: 1.06-2.76; p=0.043), hypertension (OR 1.97; 95%CI: 1.15-3.21; p=0.018), diabetes mellitus (OR 2.09; 95% CI: 1.31-5.33; p=0.010), obesity (OR 1.51; 95%CI: 1.03-3.87; p=0.031), hypercholesterolemia (OR 2.17, 95%CI: 1.05-4.25; p=0.027), leukocytosis (OR 2.32, 95%CI: 1.45-5.24; p=0.037), and left ventricular segmental kinetic disturbances (OR 3.01; 95%CI: 1.65-4.61, p<0.001).
Conclusions: This study demonstrates that advanced age, hypertension, diabetes, obesity, hypercholesterolemia, leukocytosis, and segmental kinetic disturbances of the left ventricle are powerful risk factors for the occurrence of POAF.
Comment in
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Predictors of atrial fibrillation following coronary artery bypass surgery: increased waist circumference rather than increased body mass index?Med Sci Monit. 2011 Feb 25;17(3):LE3. doi: 10.12659/msm.881432. Med Sci Monit. 2011. PMID: 21358610 Free PMC article. No abstract available.
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