@article {Roberson4832作者= {Shawniqua威廉姆斯罗伯森和Naureen Azeez和Randip希夫和布伦达t .双关和詹姆斯·c·杰克逊和Pratik p Pandharipande和e·韦斯利·伊利},title ={脑电图特征之间的关系在重要疾病和长期认知障碍(4832)},体积={94}={15}补充数量,elocation-id ={4832} ={2020},出版商= {Wolters Kluwer健康,公司代表美国神经病学学会},文摘={目的:比较脑电图(EEG)特征在关键疾病患者{\ textquoteright} 1神经心理的结果。首页背景:多达30 \ % {\ textendash} 80 \ %的ICU幸存者遭受禁用长期认知障碍(LTCI),包括内存和执行功能障碍,在重要的疾病。ICU谵妄LTCI的危险因素,潜在的病理生理学是知之甚少。脑电图无创评估神经生理活动和显示特征发现谵妄。然而,缺乏数据检查脑电图特征之间的关系在疾病和LTCI至关重要。设计/方法:我们进行了因果分析的患者在BRAIN-ICU研究(Pandharipande NEJM 2013)经历了脑电图临床用途在指数(N = 10)的承认。我们包括所有参与者与住院病人脑电图记录完成认知评估(可重复的电池神经心理评估的状态——我国)在12个月的随访。我们评估常规脑电图特征通过目视检查和计算11定量脑电图特征(四光谱波段光谱带的力量和可变性,两半球间的连贯性和近似熵)使用MATLAB {\ textregistered}。LTCI的脑电图特征和模式之间的关系进行了探讨使用枪兵{\ textquoteright}秩相关性。结果:的10例(50 \ %的女性,平均年龄45岁),7筛选阳性精神错乱或脑电图的昏迷在24小时内。除了一个脑电图显示广义背景放缓。 Relative alpha power correlated with visuospatial/constructional ability (VC; rho=0.78, p=0.008). Peak interhemispheric coherence correlated negatively with delayed memory (DM; rho=-0.81, p=0.018). This relationship appeared stronger among EEGs recorded in ICU (rho=-1.0, p=0.017). Among ICU EEGs, theta-range spectral variability also correlated negatively with DM (rho=-0.89, p=0.033).All patients demonstrated cognitive impairment in at least one domain at follow-up. The most common deficits occurred in DM (median index 62) and VC (median index 69).Conclusions: These data support subsequent investigation of the hypothesis that there is a relationship between EEG characteristics during critical illness and long-term cognitive impairment.Disclosure: Dr. Williams Roberson has received research support from Masimo Corporation. Dr. Azeez has nothing to disclose. Dr. Taneja has nothing to disclose. Dr. Pun has nothing to disclose. Dr. Jackson has nothing to disclose. Dr. Pandharipande has received research support from Masimo Corporation; Eisai Inc.. Dr. Ely has received research support from Masimo Corporation.}, issn = {0028-3878}, URL = {//www.ez-admanager.com/content/94/15_Supplement/4832}, eprint = {//www.ez-admanager.com/content}, journal = {Neurology} }