Perrier Stéphanie, Meyer Nicolas, Hoang Minh Tam, Announe Tarek, Bentz Jonathan, Billaud Philippe, Mommerot Arnaud, Mazzucotelli Jean-Philippe, Kindo Michel
Department of Cardiovascular Surgery, Method and Clinical Research Group, University Hospital of Strasbourg, Strasbourg, France.
Department of Public Health, Method and Clinical Research Group, University Hospital of Strasbourg, Strasbourg, France.
Ann Thorac Surg. 2017 Jan;103(1):92-97. doi: 10.1016/j.athoracsur.2016.05.115. Epub 2016 Aug 28.
This study was conducted to identify preoperative predictors of postoperative atrial fibrillation (POAF) after isolated coronary artery bypass grafting (CABG) by using a Bayesian analysis that included information from prior studies.
We performed a prospective observational study from October 2008 to December 2013 of 1,481 patients who underwent isolated CABG with cardiopulmonary bypass and had no history of AF. Bayesian analysis was used to study the preoperative risks factors for POAF.
The POAF incidence was 21%. Multivariate analysis identified the following independent predictors of POAF after CABG: high CHADS-VASc (Congestive heart failure, Hypertension [blood pressure >140/90 mm Hg or treated hypertension on medication], Age ≥75 years, Diabetes mellitus, prior Stroke or transient ischemic attack or thromboembolism, vascular disease, Age 65 to 74 years, Sex category [female sex]) score (odds ratio [OR], 1.23; 95% credible interval [CI], 1.14 to 1.33 per 1-point increment, probability (Pr) [OR > 1] = 1), severe obesity with a body mass index of 35 kg/m or higher (OR, 1.28; 95% CI, 1.12 to 1.45; Pr [OR > 1] = 1), preoperative β-blocker use (OR, 1.12; 95% CI, 1.06 to 1.20; Pr [OR > 1] = 1), preoperative antiplatelet therapy (OR, 1.75; 95% CI, 1.14 to 2.79, Pr [OR > 1] = 1), and renal insufficiency with a creatinine clearance of less than 60 mL/min (OR, 1.34; 95% CI, 1.03 to 1.74; Pr [OR > 1] = 1).
This prospective Bayesian analysis identified five independent preoperative predictors of POAF after isolated CABG with cardiopulmonary bypass: CHADS-VASc score, severe obesity, preoperative β-blocker use, preoperative antiplatelet therapy, and renal failure. The main interest in the CHADS-VASc score as a predictor of POAF is that it is a simple and widely used bedside tool. Patients with these independent predictors of POAF may constitute a target population to test preventive strategies, such as non-antiarrhythmic and antiarrhythmic drugs.
本研究旨在通过使用包含既往研究信息的贝叶斯分析,确定单纯冠状动脉旁路移植术(CABG)后术后房颤(POAF)的术前预测因素。
我们于2008年10月至2013年12月对1481例行单纯体外循环CABG且无房颤病史的患者进行了一项前瞻性观察研究。采用贝叶斯分析研究POAF的术前危险因素。
POAF发生率为21%。多因素分析确定了CABG术后POAF的以下独立预测因素:高CHADS-VASc(充血性心力衰竭、高血压[血压>140/90 mmHg或接受药物治疗的高血压]、年龄≥75岁、糖尿病、既往中风或短暂性脑缺血发作或血栓栓塞、血管疾病、年龄65至74岁、性别类别[女性])评分(优势比[OR],1.23;95%可信区间[CI],每增加1分1.14至1.33,概率(Pr)[OR>1]=1)、体重指数为35 kg/m或更高的严重肥胖(OR,1.28;95%CI,1.12至1.45;Pr[OR>1]=1)、术前使用β受体阻滞剂(OR,1.12;95%CI,1.06至1.20;Pr[OR>1]=1)、术前抗血小板治疗(OR,1.75;95%CI,1.14至2.79,Pr[OR>1]=1)以及肌酐清除率低于60 mL/min的肾功能不全(OR,1.34;95%CI,1.03至1.74;Pr[OR>1]=1)。
这项前瞻性贝叶斯分析确定了体外循环下行单纯CABG术后POAF的五个独立术前预测因素:CHADS-VASc评分、严重肥胖、术前使用β受体阻滞剂、术前抗血小板治疗和肾衰竭。CHADS-VASc评分作为POAF预测因素的主要意义在于它是一种简单且广泛应用的床边工具。具有这些POAF独立预测因素的患者可能构成一个目标人群,以测试预防策略,如非抗心律失常药物和抗心律失常药物。