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Kai Michael Schubert¹, Vijaya Dasari², Ana Lúcia Oliveira³

¹Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.

Annals of neurology

|June 26, 2025

概括

早期脑电图 (EEG) 生物标志物可以预测中风后风险. 新的SeLECT-EEG模型改善了预测,特别是对于没有急性发作的患者,有助于管理.

科学领域:

神经学神经学
临床神经生理学临床神经生理学

背景情况:

发作显著恶化中风的结果,需要准确预测中风后.
虽然急性症状性发作是已知的危险因素,但大多数病例都不会出现.
早期脑电图 (EEG) 可能为没有急性的患者提供关键的预测见解.

研究的目的:

评估早期EEG发现对于中风后的预测价值.
与现有标准相比,评估一种新型预后模型 (SeLECT-EEG) 的性能.

主要方法:

一项多中心队列研究包括1105名患有缺血性中风的患者,他们在7天内进行EEG.
使用Cox和Fine-Gray模型分析了电图生物标志物 (型活动,区域减速).
将SELECT-EEG模型的预测准确度与SELECT2.0.0模型进行了比较.

主要成果:

卒中后发生在11%的患者中;21%的患者有急性症状性发作.
型活动与5年风险增加42%有关;区域减速使风险增加了一倍.
在SELECT-EEG模型中,比SELECT2.0 (0.71) 显示出优异的预测性能 (统计一致性:0.75).

结论:

早期的EEG生物标志物显著提高了超出临床因素的中风后预测.
选择EEG模型提供了更好的早期风险分层,特别是在没有急性症状的患者中.
这些发现支持对中风幸存者的更好的患者管理和咨询策略.

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