Cirakoglu Omer Faruk, Aslan Ahmet Oğuz, Akyuz Ali Riza, Kul Selim, Şahin Sinan, Korkmaz Levent, Sayın Muhammet Raşit
Department of Cardiology, Trabzon Ahi Evren Training and Research Hospital, University of Health Science, Trabzon, Turkey.
Department of Cardiology, Akçaabat Haçkalı Baba State Hospital, Trabzon, Turkey.
Ann Noninvasive Electrocardiol. 2019 Jul;24(4):e12622. doi: 10.1111/anec.12622. Epub 2019 Jan 7.
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.
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.
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).
Syntax score may be helpful to identify for patients who would develop atrial fibrillation in the setting of ACS.
新发房颤(NOAF)与急性冠状动脉综合征(ACS)患者的不良预后相关。此外,SYNTAX评分(SS)是一种基于血管造影图像得出的评分系统,与长期死亡率和主要不良心脏事件相关。在本研究中,我们旨在评估SS与NOAF以及已知房颤预测因素之间的关系。
在一项前瞻性、单中心横断面研究中,连续纳入692例首次诊断为冠状动脉疾病的患者。NOAF定义为入院后记录到的房颤。SS由计算机软件计算得出。采用多变量逻辑回归分析来检测变量与NOAF之间的关系。
82例患者(11.8%)检测到新发房颤。NOAF患者的SS更高(22,四分位数间距18.3 - 25.1,对比12,四分位数间距7 - 19.5,p < 0.001)。根据对NOAF的多变量逻辑回归分析,SS独立且显著相关(比值比,1.103;95%置信区间,1.047 - 1.163;p < 0.001)。NOAF的其他独立预测因素为心肌梗死溶栓治疗(TIMI)血流<3、C反应蛋白、左心室射血分数、左心房容积指数和E/E'比值。SS预测NOAF发生的最佳截断值为18,敏感性为82%,特异性为68%(曲线下面积:0.795,95%置信区间0.749 - 0.841,p < 0.001)。
SYNTAX评分可能有助于识别ACS患者中可能发生房颤的患者。