| Literature DB >> 27826338 |
Levent Cerit1, Hamza Duygu1, Kamil Gulsen1, Hatice S Kemal1, Barcın Ozcem2, Ozlem Balcioglu2, Aziz Gunsel1, Ozgur Tosun3, Volkan Emren4.
Abstract
BACKGROUND AND OBJECTIVES: The relationship of synergy between percutaneous coronary intervention with taxus and cardiac surgery (SYNTAX) score and development of atrial fibrillation (AF) after coronary artery bypass surgery (CABG) has not been studied. Therefore, we assessed the relationship between the SYNTAX score and development of AF after CABG (POAF). SUBJECTS AND METHODS: The medical records of consecutive patients, who underwent CABG surgery from January 2013 to September 2015, were retrospectively reviewed for the development of AF in the postoperative period. SYNTAX score, clinical and echocardiographic parameters were evaluated. The independent variables for the development of POAF were defined and their predictive values were measured.Entities:
Keywords: Atrial fibrillation; Coronary artery bypass surgery; Coronary artery disease
Year: 2016 PMID: 27826338 PMCID: PMC5099335 DOI: 10.4070/kcj.2016.46.6.798
Source DB: PubMed Journal: Korean Circ J ISSN: 1738-5520 Impact factor: 3.243
Patient characteristics
POAF: postoperative atrial fibrillation, TIA: transient ischemic attack, COPD: chronic obstructive pulmonary disease, ACE-I: angiotensin-converting enzyme inhibitor, ARB: angiotensin-receptor blocker, SYNTAX: synergy between percutaneous coronary intervention with taxus and cardiac surgery
Laboratory and echocardiography parameters
POAF: postoperative atrial fibrillation, NLR: neutrophil lymphocyte ratio, ( ):median
Fig. 1ROC curve for SYNTAX score for predicting postoperative atrial fibrillation. ROC: receiver operation characteristic, SYNTAX: synergy between percutaneous coronary intervention with taxus and cardiac surgery.
Univariate logistic regression model of each predictive variable for predicting POAF
POAF: postoperative atrial fibrillation, OR: odds ratio, CI: confidence interval, TIA: transient ischemic attack, COPD: chronic obstructive pulmonary disease
Multivariate logistic regression model for predicting POAF
Cox & Snell R2=0.498, Nagelkerke R2=0.690. POAF: postoperative atrial fibrillation, TIA: transient ischemic attack, COPD: chronic obstructive pulmonary disease, OR: odds ratio, CI: confidence interval