Cheng Yujing, Ma Xiaoteng, Liu Xiaoli, Zhao Yingxin, Sun Yan, Zhang Dai, Zhao Qi, Xu Yingkai, Zhou Yujie
Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Department of Cardiology, Clinical Center for Coronary Heart Disease, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China.
Front Cardiovasc Med. 2021 Aug 12;8:670045. doi: 10.3389/fcvm.2021.670045. eCollection 2021.
Coronary artery bypass grafting (CABG) success is reduced by graft occlusion. Understanding factors associated with graft occlusion may improve patient outcomes. The aim of this study was to develop a predictive risk score for saphenous vein graft (SVG) occlusion after CABG. This retrospective cohort study enrolled 3,716 CABG patients from January 2012 to March 2013. The development cohort included 2,477 patients and the validation cohort included 1,239 patients. The baseline clinical data at index CABG was analyzed for their independent impact on graft occlusion in our study using Cox proportional hazards regression. The predictive risk scoring tool was weighted by beta coefficients from the final model. Concordance (c)-statistics and comparison of the predicted and observed probabilities of predicted risk were used for discrimination and calibration. A total of 959 (25.8%) out of 3,716 patients developed at least one late SVG occlusion. Significant risk factors for occlusion were female sex [beta coefficients (β) = 0.52], diabetes (β = 0.21), smoking (currently) (β = 0.32), hyperuricemia (β = 0.22), dyslipidemia (β = 0.52), prior percutaneous coronary intervention (PCI) (β = 0.21), a rising number of SVG (β = 0.12) and lesion vessels (β = 0.45). On-pump surgery (β = -0.46) and the use of angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor blockers (ARB) (β = -0.59) and calcium channel blockers (CCB) (β = -0.23) were protective factors. The risk scoring tool with 11 variables was developed from the derivation cohort, which delineated each patient into risk quartiles. The c-statistic for this model was 0.71 in the validation cohort. An easy-to-use risk scoring tool which included female sex, diabetes, smoking, hyperuricemia, dyslipidemia, prior PCI, a rising number of SVG and lesion vessels, on-pump surgery, the use of ACEI/ ARB and CCB was developed and validated. The scoring tool accurately estimated the risk of late SVG occlusion after CABG (c-statistic = 0.71).
冠状动脉旁路移植术(CABG)的成功率会因移植血管闭塞而降低。了解与移植血管闭塞相关的因素可能会改善患者的预后。本研究的目的是开发一种预测冠状动脉旁路移植术后大隐静脉移植血管(SVG)闭塞的风险评分。这项回顾性队列研究纳入了2012年1月至2013年3月期间的3716例冠状动脉旁路移植术患者。开发队列包括2477例患者,验证队列包括1239例患者。在我们的研究中,使用Cox比例风险回归分析了初次冠状动脉旁路移植术时的基线临床数据对移植血管闭塞的独立影响。预测风险评分工具由最终模型的β系数加权。一致性(c)统计量以及预测风险的预测概率与观察概率的比较用于区分和校准。3716例患者中共有959例(25.8%)发生了至少一次晚期SVG闭塞。闭塞的显著危险因素包括女性[β系数(β)=0.52]、糖尿病(β=0.21)、吸烟(当前)(β=0.32)、高尿酸血症(β=0.22)、血脂异常(β=0.52)、既往经皮冠状动脉介入治疗(PCI)(β=0.21)、SVG数量增加(β=0.12)和病变血管数量增加(β=0.45)。体外循环手术(β=-0.46)以及使用血管紧张素转换酶抑制剂(ACEI)/血管紧张素受体阻滞剂(ARB)(β=-0.59)和钙通道阻滞剂(CCB)(β=-0.23)是保护因素。从推导队列中开发了一个包含11个变量的风险评分工具,该工具将每个患者划分为风险四分位数。该模型在验证队列中的c统计量为0.71。开发并验证了一种易于使用的风险评分工具,该工具包括女性、糖尿病、吸烟、高尿酸血症、血脂异常、既往PCI、SVG数量增加和病变血管数量增加、体外循环手术、使用ACEI/ARB和CCB。该评分工具准确估计了冠状动脉旁路移植术后晚期SVG闭塞的风险(c统计量=0.71)。