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在重症患者中非性和脑电学异常的患病率-一项回顾性观察性研究

Bipin Karki¹, Pramesh S Shrestha¹, Ninadini Shrestha¹

¹Department of Critical Care Medicine, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Maharajgunj, Kathmandu, Nepal.

|December 4, 2023

概括

脑电图 (EEG) 异常,包括非性发作 (NCS) 和非性状态 (NCSE),在重症患者中很常见. 早期EEG检测可以识别这些关键发现,指导更好的患者管理.

科学领域:

关键护理医学关键护理医学
神经科学是一个神经科学.
临床神经生理学临床神经生理学

背景情况:

电脑电图 (EEG) 异常,特别是非性状态 (NCSE),与重症患者的不良结果有关.
在这个人群中评估EEG异常和非性发作的患病率对于了解它们的影响至关重要.

研究的目的:

为了确定非性发作 (NCS) 和其他EEG异常在重症患者的患病率.
调查EEG异常类型与患者结果之间的关联,包括ICU死亡率和出院成功.

主要方法:

一个横截面的观测研究178床边EEG记录从混合医疗手术ICU (2018年1月 - 2020年5月).
EEG发现被归类为正常,NCS,NCSE或其他异常.
统计分析包括描述性工具,用于死亡率关联的千平方测试,以及NCSE病例的STESS计算.

主要成果:

在ICU队列中,整体EEG异常的患病率为7.3%;然而,在有改变传感器的患者中,42.9%的人表现出发作活动,25.2%的人被诊断为NCSE.
一个趋势表明,NCSE患者的ICU出院成功率较低,STESS分数更高 (STESS 6出院率为33.3%,STESS 3出院率为92.9%).

结论:

一个30分钟的床边EEG可以有效地检测显著的EEG异常,如NCS和NCSE当与临床怀疑结合.
为改善诊断和管理,建议定期将EEG纳入具有改变感官的重症患者的评估中.

关键词:

电脑脑电图 (electroencephalograph) 是一种电脑电图.没有的发作.没有的状态 epilepticusus 状态的严重程度得分.

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