RT期刊文章SR电子T1验证StatNet脑电图作为诊断的可靠和有效的工具Non-Convulsive癫痫持续状态:第二阶段(P5.011)摩根富林明神经病学神经学乔FD Lippincott Williams &威尔金斯SP P5.011 VO 86是16补充A1亚历山德拉•沃尔A1 Dianne Dash A1韦斯·萨瑟兰A1莉首页兹白Hernandez-Ronquillo A1何塞泰雷兹Zenteno A1法扎德Moien Afshari年2016 UL //www.ez-admanager.com/content/86/16_Supplement/P5.011.abstract AB目的:1。证明的有效性StatNet便携式脑电图系统诊断癫痫和Non-convulsive癫痫持续状态(NCSE)当常规脑电图不可用。2。开发临床标准来确定病人NCSE的风险。背景:NCSE是临床上的显著增加发病率和死亡率。这使得很难没有脑电图诊断。StatNet脑电图描记器提供了一种快速替代常规脑电图,这通常是不可用。方法:从急诊室病人主要是招募。每个病人收到StatNet脑电图和常规脑电图,当可用。我们失明和研究相比,评估研究之间的延迟,设置时间,工件,使用常规脑电图异常检测控制。 The nonparametric Mann-Whitney two-sample T-test was used. Results are expressed in mean minutes +/- standard deviation. Inter-observer reliability was assessed by Kappa score. Results: 19 patients were collected. Two StatNet EEGs were not interpretable and were excluded. Mean age is 60y ±21.94y (17-93y range). 68[percnt] (N=13) are male. The inter-observer agreement for detection of any abnormalities is 0.54 (0.18, CI=0.19-0.89) for StatNet EEG and 0.73 (0.18, CI=0.37-1.0) for conventional EEG. Inter-observer agreement for epileptiform discharges was 0.76 (0.22, CI=0.33-1.0) for StatNet EEG and 0.76 (0.16, CI=0.43-1.0) for conventional EEG. Inter-observer agreement for NCSE was 1.00 (0, CI=1.00-1.00) for StatNet EEG and 0.64 (0.32, CI=0.0031-1.0) for conventional EEG, in the single identified case. Statnet Electrode placement is significantly shorter: 13:14±5:24 StatNet EEG vs 18:07±5:35 conventional EEG (p=0.02). Conclusions: There is high inter-rater reliability between the conventional and StatNet EEG groups demonstrating that StatNet EEG is a reliable and effective tool, aiding specifically in early recognition and management of NCSE. The potential exists to decrease associated morbidity and mortality. Once StatNet is validated, we will ask for Health Canada approval to implement a stat EEG pathway.Disclosure: Dr. Voll has nothing to disclose. Dr. Dash has nothing to disclose. Dr. Sutherland has nothing to disclose. Dr. Hernandez-Ronquillo has nothing to disclose. Dr. Tellez Zenteno has received research support from Ralston Brothers Research Trust. Dr. Moien Afshari has nothing to disclose.Wednesday, April 20 2016, 8:30 am-7:00 pm
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