医学
置信区间
逻辑回归
接收机工作特性
癫痫持续状态
改良兰金量表
内科学
癫痫
精神科
缺血
缺血性中风
作者
Montserrat González‐Cuevas,Estevo Santamarina,Manuel Toledo,Manuel Quintana,J. Sala,M. Sueiras,Lorena Guzmán,Javier Salas‐Puig
摘要
BACKGROUND AND PURPOSE: 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. METHODS: 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. RESULTS: 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%). CONCLUSIONS: The baseline mRS was associated with high mortality risk. It is proposed to use mSTESS to improve the prediction of mortality risk in SE.
科研通智能强力驱动
Strongly Powered by AbleSci AI