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首页> 外文期刊>European journal of cardio-thoracic surgery: Official journal of the European Association for Cardio-thoracic Surgery >The new EuroSCORE II does not improve prediction of mortality in high-risk patients undergoing cardiac surgery: A collaborative analysis of two European centres
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The new EuroSCORE II does not improve prediction of mortality in high-risk patients undergoing cardiac surgery: A collaborative analysis of two European centres

机译:新的Euroscore II并不改善经过心脏手术的高风险患者死亡率的预测:两个欧洲中心的合作分析

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OBJECTIVES: Prediction of operative risk in adult patients undergoing cardiac surgery remains a challenge, particularly in high-risk patients. In Europe, the EuroSCORE is the most commonly used risk-prediction model, but is no longer accurately calibrated to be used in contemporary practice. The new EuroSCORE II was recently published in an attempt to improve risk prediction. We sought to assess the predictive value of EuroSCORE II compared with the original EuroSCOREs in high-risk patients. METHODS: Patients who underwent surgery between 1 April 2006 and 31 March 2011 with a preoperative logistic EuroSCORE e10 were identified from prospective cardiac surgical databases at two European institutions. Additional variables included in EuroSCORE II, but not in the original EuroSCORE, were retrospectively collected through patient chart review. The C-statistic to predict in-hospital mortality was calculated for the additive EuroSCORE, logistic EuroSCORE and EuroSCORE II models. The Hosmer-Lemeshow test was used to assess model calibration by comparing observed and expected mortality in a number of risk strata. The fit of EuroSCORE II was compared with the original EuroSCOREs using Akaike's Information Criterion (AIC). RESULTS: A total of 933 patients were identified; the median additive EuroSCORE was 10 (interquartile range [IQR] 9-11), median logistic EuroSCORE 15.3 (IQR 12.0-24.1) and median EuroSCORE II 9.3 (5.8-15.6). There were 90 (9.7%) in-hospital deaths. None of the EuroSCORE models performed well with a C-statistic of 0.67 for the additive EuroSCORE and EuroSCORE II, and 0.66 for the logistic EuroSCORE. Model calibration was poor for the EuroSCORE II (chi-square 16.5; P = 0.035). Both the additive EuroSCORE and logistic EuroSCORE had a numerically better model fit, the additive EuroSCORE statistically significantly so (difference in AIC was -5.66; P = 0.017). CONCLUSIONS: The new EuroSCORE II does not improve risk prediction in high-risk patients undergoing adult cardiac surgery when compared with original additive and logistic EuroSCOREs. The key problem of risk stratification in high-risk patients has not been addressed by this new model. Future iterations of the score should explore more advanced statistical methods and focus on developing procedure-specific algorithms. Moreover, models that predict complications in addition to mortality may prove to be of increasing value.
机译:目的:预测经历心脏手术的成人患者的手术风险仍然是一个挑战,特别是在高危患者中。在欧洲,Euroscore是最常用的风险预测模型,但不再被准确地校准用于当代练习。最近新的Euroscore II在尝试改善风险预测时发表。我们试图评估Euroscore II的预测值与高风险患者的原始Euroscores相比。方法:在两名欧洲机构的前瞻性心脏手术数据库中确定了2006年4月1日至2011年3月3日之间进行手术的患者。通过患者图表审查回顾性地收集了欧千岛II中包含的其他变量,但不在原始欧洲摩托中。为预测住院内死亡率的C统计学是针对附加欧洲摩托,后勤Euroscore和Euroscore II模型计算的。 Hosmer-Lemeshow测试用于通过比较许多风险地层中的观察和预期的死亡率来评估模型校准。使用Akaike的信息标准(AIC)将Euroscore II的适合与原始的Eurcordes进行比较。结果:共鉴定了933名患者;中位数添加剂Euroscore是10个(四分位数[IQR] 9-11),中位物流Euroscore 15.3(IQR 12.0-24.1)和Median Euroscore II 9.3(5.8-15.6)。医院内死亡人数90(9.7%)。 Euroscore模型中没有一个良好的C型统计为0.67,为Accative Euroscore和Euroscore II,以及0.66的物流Eurore。 EuroScore II的模型校准差(Chi-Square 16.5; P = 0.035)。 Accliation Euroscore和Logistic Euroscore都有一个数值更好的模型合适,Acclige欧洲摩托车统计上显着(AIC差异为-5.66; P = 0.017)。结论:与原始添加剂和后勤欧景体相比,新的Euroscore II不会改善高风险患者的风险预测。这种新模型尚未解决高风险患者风险分层的关键问题。该分数的未来迭代应探讨更先进的统计方法,并专注于开发特定的过程算法。此外,预测除死亡率之外并发症的模型可能被证明是增加的价值。

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