Validation in Indonesia of two published scores for mortality prediction after cardiac surgery

在印度尼西亚验证两种已发表的用于预测心脏手术后死亡率的评分系统

阅读:1

Abstract

INTRODUCTION: No mortality risk prediction model has previously been validated for cardiac surgery in Indonesia. This study aimed at validating the EuroSCORE II and Age Creatinine Ejection Fraction (ACEF) score as predictors for in-hospital mortality after cardiac surgery a in tertiary center, and if necessary, to recalibrate the EuroSCORE II model to our population. METHODS: This study was a single-center observational study from prospectively collected data on adult patients undergoing cardiac surgery from January 2006 to December 2011 (n = 1833). EuroSCORE II and ACEF scores were calculated for all patients to predict in-hospital mortality. Discrimination was assessed using the area under the curve (AUC) with a 95% confidence interval. Calibration was assessed with the Hosmer-Lemeshow test (HL test). Multivariable analysis was performed to recalibrate the EuroSCORE II; variables with P < 0.2 entered the final model. RESULTS: The in-hospital mortality rate was 3.8%, which was underestimated by the EuroSCORE II (2.1%) and the ACEF score (2.4%). EuroSCORE II (AUC 0.774 (0.714-0.834)) showed good discrimination, whereas the ACEF score (AUC 0.638 [0.561-0.718]) showed poor discrimination. The differences in AUC were significant (P = 0.002). Both scores were poorly calibrated (EuroSCORE II: HL test P < 0.001, ACEF score: HL test P < 0.001) and underestimated mortality in all risk groups. After recalibration, EuroSCORE II showed good discrimination (AUC 0.776 [0.714- 0.840]) and calibration (HL test P = 0.79). CONCLUSIONS: EuroSCORE II and the ACEF score were unsuitable for risk prediction of in-hospital mortality after cardiac surgery in our center. Following recalibration, the calibration of the EuroSCORE II was greatly improved.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。