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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:新型EuroSCORE II不能改善接受心脏手术的高危患者的死亡率预测: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 ≥10 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:对接受心脏手术的成年患者进行手术风险的预测仍然是一个挑战,特别是在高风险患者中。在欧洲,EuroSCORE是最常用的风险预测模型,但已不再经过精确校准以用于当代实践。最近发布了新的EuroSCORE II,以改善风险预测。我们试图评估EuroSCORE II与原始EuroSCORE在高危患者中的预测价值。方法:从两家欧洲机构的前瞻性心脏外科手术数据库中识别出在2006年4月1日至2011年3月31日期间接受术前逻辑EuroSCORE≥10的患者。通过患者病历表回顾性收集了EuroSCORE II中包含的其他变量,而不是原始EuroSCORE中包含的其他变量。为附加的EuroSCORE,逻辑EuroSCORE和EuroSCORE II模型计算了预测院内死亡率的C统计量。 Hosmer-Lemeshow测试用于通过比较在多个风险层次中观察到的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的拟合度与原始EuroSCORE进行了比较。结果:共鉴定出933例患者。添加剂EuroSCORE的中位数为10(四分位数范围[IQR] 9-11),逻辑Logistic EuroSCORE的中位数为15.3(IQR 12.0-24.1)和EuroSCORE II的中位数为9.3(5.8-15.6)。有90例(9.7%)医院内死亡。 EuroSCORE模型中没有一个表现良好,加性EuroSCORE和EuroSCORE II的C统计值为0.67,逻辑Logistic EuroSCORE的C统计值为0.66。 EuroSCORE II的模型校准不佳(卡方16.5; P = 0.035)。添加剂EuroSCORE和逻辑EuroSCORE的模型拟合在数值上都更好,统计学上,添加剂EuroSCORE具有显着性(AIC的差异为-5.66; P = 0.017)。结论:与原始加法和后勤EuroSCORE相比,新型EuroSCORE II不能改善接受成人心脏手术的高危患者的风险预测。这种新模型尚未解决高危患者风险分层的关键问题。分数的未来迭代应探索更高级的统计方法,并专注于开发特定于程序的算法。此外,预测除死亡率以外的并发症的模型可能被证明具有增加的价值。

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