Zheng Zhe, Zhang Lu
Department of Cardiovascular Surgery, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100037, China.
Zhonghua Xin Xue Guan Bing Za Zhi. 2010 Oct;38(10):901-4.
To construct a scoring system for the prediction of in-hospital mortality in Chinese patients undergoing coronary artery bypass grafting (CABG).
From 2007 to 2008, complete clinical information of 9564 consecutive CABG patients was collected from Chinese coronary artery bypass grafting registry which recruited patients from 43 Chinese centers. This database was randomly divided into developmental and validation subsets (9:1). A risk model was developed using logistic regression. Calibration and discrimination characteristics were assessed in the validation dataset. Thresholds were defined for each model to distinguish different risk groups. The risk model was compared with EuroSCORE system in the validation dataset.
In the developmental dataset, calibration by Hosmer-Lemeshow (HL) test was P = 0.44 and discrimination by area under ROC (AUC) was 0.80. In the validation dataset, HL test was P = 0.34, AUC was 0.78. The performance turned out good for all three risk groups. Superiority were found over EuroSCORE (HL P = 0.60; AUC 0.73). The scoring system identified 11 risk factors (with weights in brackets): age over 65 (65 - 69, 3; 70 - 74, 5; over 75, 6), preoperative NYHA stage (NHYA III, 3; NHYA IV, 7), chronic renal failure (6), extracardiac arteriopathy (5), chronic obstructive pulmonary disease (4), Preoperative atrial fibrillation or flutter (within two weeks) (2), left ventricular ejection fraction < 50% (4), other than elective surgery (5), combined valve procedure (4), preoperative critical state (4), BMI (> 24 kg/m(2), -2; < 18 kg/m(2), 5).
This study constructs a simple, objective and accurate risk stratification system for Chinese patients undergoing CABG using the most up-to-date data.
构建一个用于预测中国接受冠状动脉旁路移植术(CABG)患者院内死亡率的评分系统。
2007年至2008年,从中国冠状动脉旁路移植术注册中心收集了9564例连续接受CABG患者的完整临床信息,该注册中心招募了来自中国43个中心的患者。此数据库被随机分为开发子集和验证子集(9:1)。使用逻辑回归开发风险模型。在验证数据集中评估校准和区分特征。为每个模型定义阈值以区分不同风险组。在验证数据集中将风险模型与欧洲心脏手术风险评估系统(EuroSCORE)进行比较。
在开发数据集中,通过Hosmer-Lemeshow(HL)检验校准的P值为0.44,通过ROC曲线下面积(AUC)进行区分的结果为0.80。在验证数据集中,HL检验的P值为0.34,AUC为0.78。所有三个风险组的表现都良好。发现该模型优于EuroSCORE(HL P = 0.60;AUC 0.73)。该评分系统确定了11个风险因素(括号内为权重):年龄超过65岁(65 - 69岁,3;70 - 74岁,5;75岁以上,6)、术前纽约心脏协会(NYHA)分级(NYHA III级,3;NYHA IV级,7)、慢性肾衰竭(6)、心外动脉病变(5)、慢性阻塞性肺疾病(4)、术前房颤或房扑(两周内)(2)、左心室射血分数<50%(4)、非择期手术(5)、联合瓣膜手术(4)、术前危急状态(4))、体重指数(BMI)(>24 kg/m²,-2;<18 kg/m²,5)。
本研究利用最新数据为中国接受CABG的患者构建了一个简单、客观且准确的风险分层系统