The value of syntax score to predict new-onset atrial fibrillation in patients with acute coronary syndrome.

ABSTRACT

BACKGROUND AND AIM: New-onset atrial fibrillation (NOAF) has been associated with poor outcome in patients with acute coronary syndromes (ACS). Also, Syntax score (SS) is a scoring system that is derived from angiographic images and is associated with long-term mortality and major adverse cardiac events. In this study, we aimed to assess the relationship between SS and NOAF with known predictors of atrial fibrillation. METHODS: In a prospective, single-center, cross-sectional study, 692 patients who were diagnosed with coronary artery disease for the first time were enrolled consecutively. NOAF was defined as atrial fibrillation, which was documented after hospital admission. SS was calculated by a computer software. Multivariable logistic regression analyzes were used to detect the relationship between variables and NOAF. RESULTS: New-onset atrial fibrillation was detected in 82 patients (11.8%). Patients with NOAF had higher SS (22, interquartile range 18.3-25.1, vs. 12, interquartile range 7-19.5, p < 0.001). According to multivariable logistic regression analysis for NOAF, SS were independently and significantly associated (OR, 1.103; 95% confidence interval, 1.047-1.163; p < 0.001). Other independent predictors of NOAF were TIMI flow <3, C reactive protein, left ventricular ejection fraction, left atrial volume index and E/E' ratio. The optimal cut-off value for SS was 18 for the development of NOAF with 82% sensitivity and 68% specificity (area under the curve 0.795, 95% confidence interval 0.749-0.841, p < 0.001). CONCLUSION: Syntax score may be helpful to identify for patients who would develop atrial fibrillation in the setting of ACS.