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提高使用两种癫痫持续状态结局评分工具预测成人院内病死率的能力。

Improving the ability to predict hospital mortality among adults by combining two status epilepticus outcome scoring tools.

机构信息

Department of Neurology, The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou, China.

Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Epilepsy Behav. 2020 Sep;110:107149. doi: 10.1016/j.yebeh.2020.107149. Epub 2020 May 29.

Abstract

OBJECTIVE

The goal of this study was to compare the predictive ability of the Status Epilepticus Severity Score (STESS), the Encephalitis-nonconvulsive status epilepticus (NCSE)-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT), and the combination of these two scoring tools to predict mortality among inhospital patients with status epilepticus (SE).

METHODS

A retrospective analysis was conducted of adult patients with SE who were admitted to the neurology department, the emergency department, and the intensive care unit from January 2013 to December 2017. The patients were divided into two groups: survivors and nonsurvivors. The STESS data were obtained when the patient arrived at the hospital, and the END-IT data were collected 24 h after patients were initially treated in the hospital. The ability of the scoring tools to predict death in patients with SE, alone or in combination, was evaluated.

RESULTS

A total of 123 patients with SE were included in the study, of which 22 died, for a mortality rate of 17.9%. The STESS and END-IT scores of nonsurvivors were both significantly higher than those of survivors (median STESS 4 vs. 2, p = 0.003; median END-IT 3 vs. 1, p < 0.001). The area under the receiver operating characteristic curve (AUC) was 0.698 for the STESS and 0.852 for the END-IT, and the cutoff values were 4 and 3, respectively. The AUC of the END-IT with the optimal cutoff value was larger than that of the STESS (p = 0.024). The sensitivity and specificity of combining the STESS and END-IT by the serial method (STESS ≥ 4∩END-IT ≥ 3) were 0.50 and 0.95, respectively, and the specificity was significantly higher than the STESS or END-IT (both p's < 0.001). The sensitivity and specificity of combining the STESS and END-IT by the parallel method (STESS ≥ 4⋃END-IT ≥ 3) were 0.91 and 0.53, respectively, and the sensitivity was higher than the STESS was (p = 0.016).

CONCLUSION

Our results indicated that the combined score of the STESS and END-IT systems was a better predictor of survival of patients with SE than the scores of either the STESS system or the END-IT system alone and that combining the scores may be considered to be a new method for early identification of patients for both good and bad outcomes.

摘要

目的

本研究旨在比较癫痫持续状态严重程度评分(STESS)、脑炎-非惊厥性癫痫持续状态-地西泮耐药-影像学异常-气管插管(END-IT)以及这两种评分工具联合对住院癫痫持续状态(SE)患者死亡率的预测能力。

方法

对 2013 年 1 月至 2017 年 12 月期间因 SE 入住神经内科、急诊科和重症监护病房的成年患者进行回顾性分析。将患者分为存活组和死亡组。患者入院时获取 STESS 数据,入院后 24 小时采集 END-IT 数据。评估单独或联合使用评分工具预测 SE 患者死亡的能力。

结果

本研究共纳入 123 例 SE 患者,其中 22 例死亡,死亡率为 17.9%。死亡组的 STESS 和 END-IT 评分均显著高于存活组(中位数 STESS 4 分比 2 分,p=0.003;中位数 END-IT 3 分比 1 分,p<0.001)。STESS 的受试者工作特征曲线(ROC)曲线下面积(AUC)为 0.698,END-IT 的 AUC 为 0.852,最佳截断值分别为 4 和 3。END-IT 的 AUC 大于 STESS(p=0.024)。采用串行法(STESS≥4∩END-IT≥3)联合 STESS 和 END-IT 的截断值的灵敏度和特异性分别为 0.50 和 0.95,特异性明显高于 STESS 或 END-IT(均 p<0.001)。采用并行法(STESS≥4⋃END-IT≥3)联合 STESS 和 END-IT 的截断值的灵敏度和特异性分别为 0.91 和 0.53,灵敏度高于 STESS(p=0.016)。

结论

本研究结果表明,STESS 和 END-IT 系统联合评分是 SE 患者生存的更好预测指标,优于 STESS 或 END-IT 系统单独评分,联合评分可能被视为早期识别预后良好和不良患者的新方法。

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