BACKGROUND: Atrial fibrillation is responsible for significant morbidity after lung cancer surgery, and preoperative and perioperative risk factors are not well described. METHODS: The Society of Thoracic Surgeons (STS) database was queried for all lobectomy and pneumonectomy patients with a diagnosis of lung cancer. A multivariable logistic regression model was developed to predict the risk of atrial arrhythmia as a function of preoperative and perioperative factors. Generalized estimating equations methodology was used to account for correlation among observations from the same institution. Missing data were handled using the method of chained equations with 10 randomly imputed data sets. RESULTS: A total of 13,906 patients who underwent resection for lung cancer at participating institutions had complete information for postoperative atrial arrhythmia, of whom 1,755 (12.6%) experienced the outcome. Multivariable logistic analysis indentified increasing age, increasing extent of operation, male sex, nonblack race, and stage II or greater tumors as predictors of postoperative atrial fibrillation. CONCLUSIONS: Analysis of the STS database has identified five variables that predict postoperative atrial fibrillation. This predictive model may be useful to develop strategies for risk stratification, prophylaxis, and treatment. Copyright 2010 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.
BACKGROUND:Atrial fibrillation is responsible for significant morbidity after lung cancer surgery, and preoperative and perioperative risk factors are not well described. METHODS: The Society of Thoracic Surgeons (STS) database was queried for all lobectomy and pneumonectomy patients with a diagnosis of lung cancer. A multivariable logistic regression model was developed to predict the risk of atrial arrhythmia as a function of preoperative and perioperative factors. Generalized estimating equations methodology was used to account for correlation among observations from the same institution. Missing data were handled using the method of chained equations with 10 randomly imputed data sets. RESULTS: A total of 13,906 patients who underwent resection for lung cancer at participating institutions had complete information for postoperative atrial arrhythmia, of whom 1,755 (12.6%) experienced the outcome. Multivariable logistic analysis indentified increasing age, increasing extent of operation, male sex, nonblack race, and stage II or greater tumors as predictors of postoperative atrial fibrillation. CONCLUSIONS: Analysis of the STS database has identified five variables that predict postoperative atrial fibrillation. This predictive model may be useful to develop strategies for risk stratification, prophylaxis, and treatment. Copyright 2010 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.
Authors: Gyorgy Frendl; Alissa C Sodickson; Mina K Chung; Albert L Waldo; Bernard J Gersh; James E Tisdale; Hugh Calkins; Sary Aranki; Tsuyoshi Kaneko; Stephen Cassivi; Sidney C Smith; Dawood Darbar; Jon O Wee; Thomas K Waddell; David Amar; Dale Adler Journal: J Thorac Cardiovasc Surg Date: 2014-06-30 Impact factor: 5.209
Authors: Jelena Ivanovic; Donna E Maziak; Sarah Ramzan; Anna L McGuire; Patrick James Villeneuve; Sebastien Gilbert; R Sudhir Sundaresan; Farid M Shamji; Andrew J E Seely Journal: Interact Cardiovasc Thorac Surg Date: 2013-12-12