...
首页> 外文期刊>Annals of Indian Academy of Neurology >Study of Refractory Status Epilepticus from a Tertiary Care Center
【24h】

Study of Refractory Status Epilepticus from a Tertiary Care Center

机译:三级护理中心对难治性癫痫持续状态的研究

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Objectives: To determine the proportion of refractory status epilepticus (RSE) and super-RSE (SRSE) among patients with status epilepticus (SE) and to analyze RSE and non-RSE (NRSE) in terms of etiology and predictors for RSE. Materials and Methods: Patients were identified from discharge summaries database with keywords of SE and records of the portable electroencephalogram (EEG) machine from January 2011 to March 2016. Results: Two hundred and eighteen events were included in the study with 114 (52.3%) males, bimodal age preponderance age n = 75). Nearly 77.1% had NRSE ( n = 168) and 22.9% had RSE ( n = 50). This included 17 patients with SRSE ( n = 17, 7.8% of all SE). Central nervous system (CNS) infection was a single largest etiological group in SE (69/218, 31.7%). In RSE, autoimmune encephalitis (17/50) and CNS infection (13/50) were the largest groups. De novo seizures ( P = 0.007), low sensorium at admission ( P = 0.001), low albumin at admission ( P = 0.002), and first EEG being abnormal ( P = 0.001) were risk factors on bivariate analysis. An unfavorable status epilepticus severity score (STESS) was predictive for RSE ( P = 0.001). On multivariate analysis, de novo seizures ( P = 0.009) and abnormal EEG at admission ( P = 0.03) were predictive for RSE. Conclusions: Fifty patients had RSE (22.9%), of which 17 went on to become SRSE (7.8%). Unfavorable STESS score was predictive for RSE on bivariate analysis. On multivariate analysis, de novo seizures and abnormal initial EEG were predictors of RSE.
机译:目的:确定癫痫持续状态(SE)患者中难治性癫痫持续状态(RSE)和超级RSE(SRSE)的比例,并从病因学和RSE预测因素方面分析RSE和非RSE(NRSE)。材料与方法:从2011年1月至2016年3月从出院摘要数据库中以SE关键字和便携式脑电图(EEG)机器的记录来识别患者。结果:218项事件被纳入研究,其中114例(52.3%)男性,双峰年龄优势年龄n = 75)。 NRSE(n = 168)接近77.1%,RSE(n = 50)占22.9%。其中包括17例SRSE患者(n = 17,占所有SE的7.8%)。中枢神经系统(CNS)感染是SE中最大的病因组(69 / 218,31.7%)。在RSE中,自身免疫性脑炎(17/50)和CNS感染(13/50)是最大的组。从头发作(P = 0.007),入院时感觉低(P = 0.001),入院时白蛋白低(P = 0.002),首次脑电图异常(P = 0.001)是双变量分析的危险因素。不良状态癫痫严重程度评分(STESS)可预测RSE(P = 0.001)。在多变量分析中,从头发作(P = 0.009)和入院时脑电图异常(P = 0.03)可预测RSE。结论:50例患有RSE(22.9%),其中17例继续成为SRSE(7.8%)。在双因素分析中,不良的STESS评分可预测RSE。在多变量分析中,从头发作和异常初始脑电图是RSE的预测指标。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号