2017
DOI: 10.5606/tgkdc.dergisi.2017.13959
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Validation of SYNTAX and clinical SYNTAX scores in predicting atrial fibrillation following on-pump coronary artery bypass grafting

Abstract: ÖZAmaç: Bu çalışmada koroner arter baypas greftleme yapılan hastalarda ameliyat sonrası atriyal fibrilasyonun öngörülmesinde SYNTAX ve klinik SYNTAX skorunun rolü değerlendirildi. ABSTRACTBackground: This study aims to evaluate the role of SYNTAX and clinical SYNTAX scores in predicting postoperative atrial fibrillation in patients undergoing coronary artery bypass grafting.

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Cited by 4 publications
(6 citation statements)
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“…Atrial fibrillation after CABG is related with increased mortality, stroke and duration of hospital stay. 7,8 In this study, peripheral artery and carotid artery disease, current smoking, left atrium diameter, cardiopulmonary bypass time were found to be associated with POAF.…”
Section: Discussionmentioning
confidence: 61%
“…Atrial fibrillation after CABG is related with increased mortality, stroke and duration of hospital stay. 7,8 In this study, peripheral artery and carotid artery disease, current smoking, left atrium diameter, cardiopulmonary bypass time were found to be associated with POAF.…”
Section: Discussionmentioning
confidence: 61%
“…In accordance with literature hospital stay was longer among our patients with POAF. Postoperative atrial fibrillation typically occurs within the first four postoperative days [2]. The most common duration was 24 to 48 hours among our patients.…”
Section: Discussionmentioning
confidence: 83%
“…Age, anemia, hypoxia, left atrial dilatation, left ventricular dysfunction, severe coronary artery disease (CAD), hypertension, type of cardiac surgery, increased sympathetic activation, oxidative stress and inflammation are the risk factors thought to be associated with POAF. But the main pathophysiology is not clear and thought to be multifactorial [2,9]. Postoperative atrial fibrillation is also associated with postoperative complications, therefore, it is important to develop risk prediction models.…”
Section: Discussionmentioning
confidence: 99%
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