患有肝脑病的儿童的脑电图:朝着一个新的分类?
Delphine Taussig1, Claire Dussaule1, Emmanuel Jacquemin2
1Université Paris Saclay-APHP, Neurophysiologie et Epileptologie, Le Kremlin Bicêtre, France.
概括
诊断儿童肝脑病变 (HE) 是很困难的. 一个新的脑电图 (EEG) 分类,CHEERS,显示出高可靠性,详细说明儿童的脑电图异常.
科学领域:
- 儿科神经学 儿科神经学
- 肝病学 肝病学是一种肝病学.
- 神经生理学 神经生理学
背景情况:
- 在儿童中诊断肝脑病变 (HE) 存在重大挑战.
- 电脑电图 (EEG) 是一个有价值的工具,但现有的分类缺乏令人满意的可靠性.
- 需要一种可靠的方法来分类儿科HE的EEG异常.
研究的目的:
- 评估观察者之间对先前的儿童高等教育的EEG分类达成的协议.
- 提出和评估一个精细的EEG分类,儿童肝脏脑病EEG记录尺度 (CHEERS).
- 调查EEG分类,神经功能障碍和肝功能障碍之间的关联.
主要方法:
- 分析了171个患有慢性或急性肝病的儿童的脑电图.
- 观察者间协议使用Gwet的AC2系数与二次权重进行评估.
- 关于补充EEG的CHEERS分类的开发和验证.
主要成果:
- 原来的Navelet分类显示了高的分类者之间的一致性.
- 精细的CHEERS分类实现了对补充EEGs的几乎完美的评价者间协议.
- 在EEG尺度和临床参数 (神经功能障碍,肝功能障碍) 之间发现了显著的关联.
结论:
- 拟议的CHEERS分类是详细描述疑似儿科HE的EEG异常的可靠工具.
- 计划在未来对外部队列进行验证,并评估其在早期检测肝功能恶化的有用性.
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