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STESS 和 EMSE 在埃及癫痫持续状态队列中的结局预测评分的外部验证。

External validation of STESS and EMSE as outcome prediction scores in an Egyptian cohort with status epilepticus.

机构信息

Department of Neurology, Kasr Al-Ainy Faculty of Medicine, Cairo University, Cairo, Egypt.

Department of Neurophysiology, Kasr Al-Ainy Faculty of Medicine, Cairo University, Cairo, Egypt.

出版信息

Epilepsy Behav. 2020 Jan;102:106686. doi: 10.1016/j.yebeh.2019.106686. Epub 2019 Nov 21.

Abstract

PURPOSE

There is a lack of data concerning the performance of the outcome prediction scores in patients with status epilepticus (SE) in developing countries. The aim of this study was to compare the predictive performances of the status epilepticus severity score (STESS) and the epidemiology-based mortality score in status epilepticus (EMSE) and adaptation of such scoring system to be compatible with the nature of society.

METHOD

This is a prospective study, conducted in Egypt from the period of January 2017 to June 2018. The main outcome measure was survival versus death, on hospital discharge. The cutoff point with the best sensitivity and specificity to predict mortality was determined through a receiver operating characteristic (ROC) curve.

RESULTS

Among the 144 patients with SE with a mean age of 39.3 ± 19.5 years recruited into the study, 38 patients (26.3%) died in the hospital with the survival of 99 patients while 7 patients (4.9%) were referred to other centers with an unknown outcome. Although EMSE had a bit larger area under the curve (AUC) (0.846) than STESS-3 (AUC 0.824), STESS-3 had the best performance as in-hospital death prediction score as it has a higher negative predictive value (94.6%) than that of EMSE (90.9%) in order not to miss high-risk patients.

CONCLUSION

In the Egyptian population, STESS and EMSE are useful tools in predicting mortality outcome of SE. The STESS performed significantly better than EMSEE combinations as a mortality prediction score.

摘要

目的

有关发展中国家癫痫持续状态(SE)患者结局预测评分表现的数据缺乏。本研究旨在比较 SE 严重程度评分(STESS)和基于病因的 SE 死亡率评分(EMSE)的预测性能,并对其进行适应性调整以适应社会的特点。

方法

这是一项前瞻性研究,于 2017 年 1 月至 2018 年 6 月在埃及进行。主要观察终点为出院时的生存与死亡。通过接受者操作特征(ROC)曲线确定预测死亡率的最佳敏感性和特异性的截断点。

结果

研究共纳入 144 例 SE 患者,平均年龄为 39.3±19.5 岁,其中 38 例(26.3%)患者在院死亡,99 例患者存活,7 例(4.9%)患者转至其他中心,其结局未知。尽管 EMSE 的曲线下面积(AUC)(0.846)略大于 STESS-3(AUC 0.824),但 STESS-3 作为院内死亡预测评分的表现更佳,因为其阴性预测值(94.6%)高于 EMSE(90.9%),以避免漏诊高危患者。

结论

在埃及人群中,STESS 和 EMSE 是预测 SE 死亡率结局的有用工具。STESS 作为死亡率预测评分的表现显著优于 EMSE 组合。

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