Department of Neurology, West China Hospital, Sichuan University, China.
Department of Neurology, West China Hospital, Sichuan University, China.
Seizure. 2018 Aug;60:23-28. doi: 10.1016/j.seizure.2018.05.017. Epub 2018 May 25.
To explore the applicability of the epidemiology-based mortality score in status epilepticus (EMSE) and the status epilepticus severity score (STESS) in predicting hospital mortality in patients with status epilepticus (SE) in western China. Furthermore, we sought to compare the abilities of the two scales to predict mortality from convulsive status epilepticus (CSE) and non-convulsive status epilepticus (NCSE).
Patients with epilepsy (n = 253) were recruited from the West China Hospital of Sichuan University from January 2012 to January 2016. The EMSE and STESS for all patients were calculated immediately after admission. The main outcome was in-hospital death. The predicted values were analysed using SPSS 22.0 receiver operating characteristic (ROC) curves.
Of the 253 patients with SE who were included in the study, 39 (15.4%) died in the hospital. Using STESS ≥4 points to predict SE mortality, the area under the ROC curve (AUC) was 0.724 (P < 0.05). Using EMSE ≥79 points, the AUC was 0.776 (P < 0.05). To predict mortality in NCSE, STESS ≥2 points was used and resulted in an AUC of 0.632 (P > 0.05), while EMSE ≥90 points gave an AUC of 0.666 (P > 0.05).
The hospital mortality rate from SE in this study was 15.4%. Those with STESS ≥4 points or EMSE ≥79 points had higher rates of SE mortality. Both STESS and EMSE are less useful predicting in-hospital mortality in NCSE compared to CSE. Furthermore, the EMSE has some advantages over the STESS.
探讨基于流行病学的死亡率评分(EMSE)和癫痫持续状态严重程度评分(STESS)在中国西部预测癫痫持续状态(SE)患者住院死亡率的适用性。此外,我们还试图比较这两种量表预测惊厥性癫痫持续状态(CSE)和非惊厥性癫痫持续状态(NCSE)死亡率的能力。
本研究纳入了 2012 年 1 月至 2016 年 1 月期间来自四川大学华西医院的 253 例癫痫患者。所有患者入院后立即计算 EMSE 和 STESS。主要结局是院内死亡。使用 SPSS 22.0 接收器操作特征(ROC)曲线分析预测值。
在纳入研究的 253 例 SE 患者中,39 例(15.4%)在医院死亡。使用 STESS≥4 分预测 SE 死亡率,ROC 曲线下面积(AUC)为 0.724(P<0.05)。使用 EMSE≥79 分,AUC 为 0.776(P<0.05)。预测 NCSE 死亡率时,使用 STESS≥2 分,AUC 为 0.632(P>0.05),而 EMSE≥90 分,AUC 为 0.666(P>0.05)。
本研究中 SE 的住院死亡率为 15.4%。STESS≥4 分或 EMSE≥79 分的患者 SE 死亡率更高。与 CSE 相比,STESS 和 EMSE 对 NCSE 患者住院死亡率的预测作用都较小。此外,EMSE 比 STESS 具有一些优势。