Iglesias-Álvarez Diego, Fu Xiaoran, Martínez-Cereijo José Manuel, Agra-Bermejo Rosa María, Veiras-Del Río Sonia, Selas-Cobos Salomé, Rial-Munin María Victoria, Eiras-Mariño María, Martínez-Salgado Adrián, Taboada-Muñiz Manuel, Reija-López Laura, Souaf Souhayla, García-Carro Javier, Fernández-González Ángel Luis, Adrio-Nazar Belén, González-Juanatey José Ramón, Eiras Sonia, Rodríguez-Mañero Moisés
Department of Cardiology, Complexo Hospitalario Universitario de Santiago, 15706 Santiago de Compostela, Spain.
Traslational Cardiology, Health Research Institute of Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain.
J Clin Med. 2023 May 19;12(10):3565. doi: 10.3390/jcm12103565.
Post-operative atrial fibrillation (POAF) is the most common arrhythmia in the post-operative period after cardiac surgery. We aim to investigate the main clinical, local, and/or peripheral biochemical and molecular predictors for POAF in patients undergoing coronary and/or valve surgery. Between August 2020 and September 2022, consecutive patients undergoing cardiac surgery without previous history of AF were studied. Clinical variables, plasma, and biological tissues (epicardial and subcutaneous fat) were obtained before surgery. Pre-operative markers associated with inflammation, adiposity, atrial stretch, and fibrosis were analyzed on peripheral and local samples with multiplex assay and real-time PCR. Univariate and multivariate logistic regression analyses were performed in order to identify the main predictors for POAF. Patients were followed-up until hospital discharge. Out of 123 consecutive patients without prior AF, 43 (34.9%) developed POAF during hospitalization. The main predictors were cardiopulmonary bypass time (odds ratio (OR) 1.008 (95% confidence interval (CI), 1.002-1.013), = 0.005), and plasma pre-operative orosomucoid levels (OR 1.008 (1.206-5.761). After studying differences regarding sex, orosomucoid was the best predictor for POAF in women (OR 2.639 (95% CI, 1.455-4.788), = 0.027) but not in men. The results support the pre-operative inflammation pathway as a factor involved in the risk of POAF, mainly in women.
术后心房颤动(POAF)是心脏手术后围手术期最常见的心律失常。我们旨在研究接受冠状动脉和/或瓣膜手术患者发生POAF的主要临床、局部和/或外周生化及分子预测因素。在2020年8月至2022年9月期间,对连续接受心脏手术且既往无房颤病史的患者进行了研究。在手术前获取临床变量、血浆和生物组织(心外膜和皮下脂肪)。通过多重检测和实时聚合酶链反应对外周和局部样本分析与炎症、肥胖、心房拉伸和纤维化相关的术前标志物。进行单因素和多因素逻辑回归分析以确定POAF的主要预测因素。对患者进行随访直至出院。在123例连续无既往房颤的患者中,43例(34.9%)在住院期间发生了POAF。主要预测因素是体外循环时间(优势比(OR)1.008(95%置信区间(CI),1.002 - 1.013),P = 0.005)以及术前血浆类粘蛋白水平(OR 1.008(1.206 - 5.761))。在研究性别差异后发现,类粘蛋白是女性POAF的最佳预测因素(OR 2.639(95%CI,1.455 - 4.788),P = 0.027),但在男性中并非如此。结果支持术前炎症途径是POAF风险的一个相关因素,主要在女性中。