Literature DB >> 27577036

Predictors of Atrial Fibrillation After Coronary Artery Bypass Grafting: A Bayesian Analysis.

Stéphanie Perrier1, Nicolas Meyer2, Tam Hoang Minh1, Tarek Announe1, Jonathan Bentz1, Philippe Billaud1, Arnaud Mommerot1, Jean-Philippe Mazzucotelli1, Michel Kindo3.   

Abstract

BACKGROUND: This study was conducted to identify preoperative predictors of postoperative atrial fibrillation (POAF) after isolated coronary artery bypass grafting (CABG) by using a Bayesian analysis that included information from prior studies.
METHODS: We performed a prospective observational study from October 2008 to December 2013 of 1,481 patients who underwent isolated CABG with cardiopulmonary bypass and had no history of AF. Bayesian analysis was used to study the preoperative risks factors for POAF.
RESULTS: The POAF incidence was 21%. Multivariate analysis identified the following independent predictors of POAF after CABG: high CHA2DS2-VASc (Congestive heart failure, Hypertension [blood pressure >140/90 mm Hg or treated hypertension on medication], Age ≥75 years, Diabetes mellitus, prior Stroke or transient ischemic attack or thromboembolism, vascular disease, Age 65 to 74 years, Sex category [female sex]) score (odds ratio [OR], 1.23; 95% credible interval [CI], 1.14 to 1.33 per 1-point increment, probability (Pr) [OR > 1] = 1), severe obesity with a body mass index of 35 kg/m2 or higher (OR, 1.28; 95% CI, 1.12 to 1.45; Pr [OR > 1] = 1), preoperative β-blocker use (OR, 1.12; 95% CI, 1.06 to 1.20; Pr [OR > 1] = 1), preoperative antiplatelet therapy (OR, 1.75; 95% CI, 1.14 to 2.79, Pr [OR > 1] = 1), and renal insufficiency with a creatinine clearance of less than 60 mL/min (OR, 1.34; 95% CI, 1.03 to 1.74; Pr [OR > 1] = 1).
CONCLUSIONS: This prospective Bayesian analysis identified five independent preoperative predictors of POAF after isolated CABG with cardiopulmonary bypass: CHA2DS2-VASc score, severe obesity, preoperative β-blocker use, preoperative antiplatelet therapy, and renal failure. The main interest in the CHA2DS2-VASc score as a predictor of POAF is that it is a simple and widely used bedside tool. Patients with these independent predictors of POAF may constitute a target population to test preventive strategies, such as non-antiarrhythmic and antiarrhythmic drugs.
Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27577036     DOI: 10.1016/j.athoracsur.2016.05.115

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  12 in total

1.  Association of serum adropin with the presence of atrial fibrillation and atrial remodeling.

Authors:  Bin Wang; Yusheng Xue; Fujun Shang; Sifeng Ni; Xiongtao Liu; Boyuan Fan; Haichang Wang
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Review 2.  Perioperative Biomarkers Predicting Postoperative Atrial Fibrillation Risk After Coronary Artery Bypass Grafting: A Narrative Review.

Authors:  Muhammad S Khan; Kennosuke Yamashita; Vikas Sharma; Ravi Ranjan; Craig H Selzman; Derek J Dosdall
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3.  [Elevation of C-reactive protein early after cardiopulmonary bypass surgery is associated with occurrence of postoperative atrial fibrillation].

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4.  Clinical and Echocardiographic Predictors of Atrial Fibrillation after Coronary Artery Bypass Grafting.

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Review 7.  RNAs and Gene Expression Predicting Postoperative Atrial Fibrillation in Cardiac Surgery Patients Undergoing Coronary Artery Bypass Grafting.

Authors:  Muhammad Shuja Khan; Kennosuke Yamashita; Vikas Sharma; Ravi Ranjan; Derek James Dosdall
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8.  Predictors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Grafting: Development a Risk Scoring System.

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Journal:  Braz J Cardiovasc Surg       Date:  2021-02-01

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Authors:  Sebastian Schnaubelt; Arnold Pilz; Lorenz Koller; Niema Kazem; Felix Hofer; Tatjana Fleck; Günther Laufer; Barbara Steinlechner; Alexander Niessner; Patrick Sulzgruber
Journal:  Eur J Clin Invest       Date:  2020-12-03       Impact factor: 4.686

10.  Dose-response relationship among body mass index, abdominal adiposity and atrial fibrillation in patients undergoing cardiac surgery: a meta-analysis of 35 cohorts.

Authors:  Menglu Liu; Kaibo Mei; Lixia Xie; Jianyong Ma; Peng Yu; Siquan Niu; Ya Xu; Yujie Zhao; Xiao Liu
Journal:  PeerJ       Date:  2021-07-21       Impact factor: 2.984

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