González-Cuevas M, Santamarina E, Toledo M, Quintana M, Sala J, Sueiras M, Guzman L, Salas-Puig J
Epilepsy Unit, Neurology Department, Vall d'Hebron University Hospital, Universitat Autonoma de Barcelona, Barcelona, Spain.
Neurology Department, Vall d'Hebron University Hospital, Universitat Autonoma de Barcelona, Barcelona, Spain.
Eur J Neurol. 2016 Oct;23(10):1534-40. doi: 10.1111/ene.13073. Epub 2016 Jul 14.
The severity of status epilepticus (SE) has an important impact in clinical outcomes. The Status Epilepticus Severity Score (STESS) is a score for predicting mortality in SE at admission. The baseline modified Rankin Scale (mRS) might be a prognostic factor for assessing the short-tem outcomes of SE. Therefore, our aim was to evaluate the effectiveness of mRS and whether its addition to the STESS improves the prediction of mortality.
Consecutive patients with SE and aged >16 years were recruited during 3 years. Receiver operating characteristic curves and a logistic regression model were developed to estimate the scores of the new score, designated as modified STESS (mSTESS), and it was subsequently compared with the STESS.
In all, 136 patients were included. Mean age was 62.01 ± 17.62 (19-95) years, and 54% were male. The capacity of the STESS to predict mortality was 74.3% (95% confidence interval 63.8%-81.8%), whilst the capacity of the mRS to predict mortality was 65.2% (95% confidence interval 54.2%-76.2%). The logistic regression model and receiver operating characteristic curves enabled the classification of mRS as follows: 0, mRS = 0; 1, mRS = 1-3; and 2, mRS > 3. These values, when added to the other items of the STESS, resulted in the mSTESS with scores between 0 and 8 points. The capacity of the mSTESS to predict mortality was 80.1%. An mSTESS > 4 established an overall accuracy of 81.8% for predicting mortality, which was considerably higher than the overall accuracy of STESS ≥ 3 (59.6%).
The baseline mRS was associated with high mortality risk. It is proposed to use mSTESS to improve the prediction of mortality risk in SE.
癫痫持续状态(SE)的严重程度对临床结局有重要影响。癫痫持续状态严重程度评分(STESS)是用于预测SE患者入院时死亡率的评分。基线改良Rankin量表(mRS)可能是评估SE短期结局的一个预后因素。因此,我们的目的是评估mRS的有效性以及将其纳入STESS是否能改善对死亡率的预测。
在3年期间招募了年龄大于16岁的连续性SE患者。绘制受试者工作特征曲线并建立逻辑回归模型以估计新评分(称为改良STESS,即mSTESS)的得分,随后将其与STESS进行比较。
共纳入136例患者。平均年龄为62.01±17.62(19 - 95)岁,54%为男性。STESS预测死亡率的能力为74.3%(95%置信区间63.8% - 81.8%),而mRS预测死亡率的能力为65.2%(95%置信区间54.2% - 76.2%)。逻辑回归模型和受试者工作特征曲线将mRS分类如下:0,mRS = 0;1,mRS = 1 - 3;2,mRS > 3。将这些值与STESS的其他项目相加,得到mSTESS,其得分在0至8分之间。mSTESS预测死亡率的能力为80.1%。mSTESS > 4对死亡率预测的总体准确率为81.8%,显著高于STESS≥3时的总体准确率(59.6%)。
基线mRS与高死亡风险相关。建议使用mSTESS来改善对SE患者死亡风险的预测。