Kennosuke Yamashita1,2, Nan Hu3,4, Ravi Ranjan1,2, Craig H Selzman1,5, Derek J Dosdall1,2,5. 1. Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, Utah, United States. 2. Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States. 3. Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, United States. 4. Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, United States. 5. Division of Cardiothoracic Surgery, Department of Surgery, University of Utah, Salt Lake City, Utah, United States.
Abstract
BACKGROUND: Postoperative atrial fibrillation (POAF) is a common arrhythmia following cardiac surgery and is associated with increased health-care costs, complications, and mortality. The etiology of POAF is incompletely understood and its prediction remains suboptimal. Using data from published studies, we performed a systemic review and meta-analysis to identify preoperative clinical risk factors associated with patients at increased risk of POAF. METHODS: A systematic search of PubMed, MEDLINE, and EMBASE databases was performed. RESULTS: Twenty-four studies that reported univariate analysis results regarding POAF risk factors, published from 2001 to May 2017, were included in this meta-analysis with a total number of 36,834 subjects. Eighteen studies were performed in the United States and Europe and 16 studies were prospective cohort studies. The standardized mean difference (SMD) between POAF and non-POAF groups was significantly different (reported as [SMD: 95% confidence interval, CI]) for age (0.55: 0.47-0.63), left atrial diameter (0.45: 0.15-0.75), and left ventricular ejection fraction (0.30: 0.14-0.47). The pooled odds ratios (ORs) (reported as [OR: 95% CI]) demonstrated that heart failure (1.56: 1.31-1.96), chronic obstructive pulmonary disease (1.36: 1.13-1.64), hypertension (1.29: 1.12-1.48), and myocardial infarction (1.18: 1.05-1.34) were significant predictors of POAF incidence, while diabetes was marginally significant (1.06: 1.00-1.13). CONCLUSION: The present analysis suggested that older age and history of heart failure were significant risk factors for POAF consistently whether the included studies were prospective or retrospective datasets. Georg Thieme Verlag KG Stuttgart · New York.
BACKGROUND:Postoperative atrial fibrillation (POAF) is a common arrhythmia following cardiac surgery and is associated with increased health-care costs, complications, and mortality. The etiology of POAF is incompletely understood and its prediction remains suboptimal. Using data from published studies, we performed a systemic review and meta-analysis to identify preoperative clinical risk factors associated with patients at increased risk of POAF. METHODS: A systematic search of PubMed, MEDLINE, and EMBASE databases was performed. RESULTS: Twenty-four studies that reported univariate analysis results regarding POAF risk factors, published from 2001 to May 2017, were included in this meta-analysis with a total number of 36,834 subjects. Eighteen studies were performed in the United States and Europe and 16 studies were prospective cohort studies. The standardized mean difference (SMD) between POAF and non-POAF groups was significantly different (reported as [SMD: 95% confidence interval, CI]) for age (0.55: 0.47-0.63), left atrial diameter (0.45: 0.15-0.75), and left ventricular ejection fraction (0.30: 0.14-0.47). The pooled odds ratios (ORs) (reported as [OR: 95% CI]) demonstrated that heart failure (1.56: 1.31-1.96), chronic obstructive pulmonary disease (1.36: 1.13-1.64), hypertension (1.29: 1.12-1.48), and myocardial infarction (1.18: 1.05-1.34) were significant predictors of POAF incidence, while diabetes was marginally significant (1.06: 1.00-1.13). CONCLUSION: The present analysis suggested that older age and history of heart failure were significant risk factors for POAF consistently whether the included studies were prospective or retrospective datasets. Georg Thieme Verlag KG Stuttgart · New York.
Authors: Ryan Lee; Danny Lee; Ishwarya S Mamidi; William V Probasco; Jessica H Heyer; Rajeev Pandarinath Journal: Clin Orthop Relat Res Date: 2019-02 Impact factor: 4.176
Authors: Jonathan Bourgon Labelle; Paul Farand; Christian Vincelette; Myriam Dumont; Mathilde Le Blanc; Christian M Rochefort Journal: BMC Med Res Methodol Date: 2020-04-05 Impact factor: 4.615