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首页> 外文期刊>Journal of the American College of Cardiology >Validation of Mayo Clinic risk adjustment model for in-hospital complications after percutaneous coronary interventions, using the National Heart, Lung, and Blood Institute dynamic registry.
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Validation of Mayo Clinic risk adjustment model for in-hospital complications after percutaneous coronary interventions, using the National Heart, Lung, and Blood Institute dynamic registry.

机译：使用美国国家心脏，肺和血液研究所动态注册中心，对经皮冠状动脉介入治疗后院内并发症的Mayo临床风险调整模型进行验证。

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OBJECTIVES: We sought to validate the recently proposed Mayo Clinic risk score model for complications after percutaneous coronary interventions (PCI), using an independent data set. BACKGROUND: The Mayo Clinic risk score has eight simple clinical and angiographic variables for the prediction of complications defined as either death, Q-wave myocardial infarction, emergent or urgent coronary artery bypass graft surgery, or cerebrovascular accident after PCI. External validation using an independent data set is lacking. METHODS: A total of 3,264 patients undergoing PCI at each of the 17 sites in the National Heart, Lung, and Blood Institute's Dynamic Registry during two enrollment periods (July 1997 to February 1998 and February to June 1999) were studied. Logistic regression was used to model the calculated risk score and major procedural complications. The expected number of complications, with 95% confidence bounds (CBs), was also calculated. RESULTS: There were 96 (2.94%) observed procedural complications, and the Mayo Clinic risk score predicted 93.5 events (2.86%; 95% CB 2.32% to 3.41%; p = NS). The Hosmer-Lemeshow goodness-of-fit p value was 0.28, and the area under the receiver operating curve was 0.76, indicating excellent overall discrimination. There were no statistical differences between observed and predicted procedural complications using the Mayo Clinic risk score among the most selected high- and low-risk subgroups. CONCLUSIONS: Eight variables were combined into a convenient risk scoring system that accurately predicts cardiovascular complications after PCI. The Mayo clinic predictive model for procedural complications yielded excellent results when applied to a multi-center external data set.
机译：目的：我们试图使用独立的数据集，对经皮冠状动脉介入治疗（PCI）后并发症的梅奥诊所风险评分模型进行验证。背景：梅奥诊所风险评分具有八个简单的临床和血管造影变量，可用于预测并发症，包括死亡，Q波心肌梗塞，急诊或紧急冠状动脉搭桥术或PCI后脑血管意外。缺乏使用独立数据集的外部验证。方法：研究了两个入选期间（1997年7月至1998年2月以及1999年2月至1999年6月）在美国国家心脏，肺和血液研究所动态注册中心的17个站点中的每一个站点接受PCI的3264名患者。 Logistic回归用于对计算出的风险评分和主要程序并发症进行建模。还计算了具有95％置信区间（CB）的预期并发症数。结果：观察到96例（2.94％）的程序并发症，梅奥诊所的风险评分预测为93.5事件（2.86％; 95％的CB为2.32％至3.41％; p = NS）。 Hosmer-Lemeshow拟合优度p值为0.28，接收器工作曲线下方的面积为0.76，表明总体判读性极好。在大多数选择的高风险和低风险亚组中，使用Mayo Clinic风险评分在观察到和预测的程序并发症之间没有统计学差异。结论：将八个变量组合到一个方便的风险评分系统中，该系统可准确预测PCI后的心血管并发症。当应用到多中心外部数据集时，针对程序并发症的Mayo临床预测模型产生了出色的结果。

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