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脑电图在发病时和 MRI 预测 Aicardi 综合征的长期临床结果。

EEG at onset and MRI predict long-term clinical outcome in Aicardi syndrome.

机构信息

Unit of Pediatric Neurology, V. Buzzi Children's Hospital, Milan, Italy.

IRCCS Mondino Foundation Department of Neuroradiology, Pavia, Italy.

出版信息

Clin Neurophysiol. 2022 Oct;142:112-124. doi: 10.1016/j.clinph.2022.07.496. Epub 2022 Aug 3.

Abstract

OBJECTIVE

Descriptions of electroencephalographic (EEG) patterns in Aicardi syndrome (AIC) have to date referred to small cohorts of up to six cases and indicated severe derangement of electrical activity in all cases. The present study was conducted to describe the long-term EEG evolution in a larger AIC cohort, followed for up to 23 years, and identify possible early predictors of the clinical and EEG outcomes.

METHODS

In a retrospective study, two experienced clinical neurophysiologists systematically reviewed all EEG traces recorded in 12 AIC cases throughout their follow-up, from epilepsy onset to the present. Clinical outcome was assessed with standardized clinical outcome scales.

RESULTS

Analysis of the data revealed two distinct AIC phenotypes. In addition to the "classical severe phenotype" already described in the literature, we identified a new "mild phenotype". The two phenotypes show completely different EEG features at onset of epilepsy and during its evolution, which correspond to different clinical outcomes.

CONCLUSIONS

Data from our long-term EEG and clinical-neuroradiological study allowed us to describe two different phenotypes of AIC, with different imaging severity and, in particular, different EEG at onset, which tend to remain constant over time.

SIGNIFICANCE

Together, these findings might help to predict long-term clinical outcomes.

摘要

目的

迄今为止,有关 Aicardi 综合征(AIC)的脑电图(EEG)模式描述仅涉及多达 6 例的小队列,并表明所有病例的电活动均严重紊乱。本研究旨在描述一个更大的 AIC 队列的长期 EEG 演变,该队列随访时间长达 23 年,并确定临床和 EEG 结果的可能早期预测指标。

方法

在一项回顾性研究中,两名经验丰富的临床神经生理学家系统地回顾了 12 例 AIC 患者在整个随访期间(从癫痫发作开始到现在)记录的所有 EEG 轨迹。临床结果采用标准化临床结果量表进行评估。

结果

数据分析显示,AIC 存在两种不同的表型。除了文献中已经描述的“经典严重表型”外,我们还确定了一种新的“轻度表型”。这两种表型在癫痫发作时和发作过程中具有完全不同的 EEG 特征,这与不同的临床结果相对应。

结论

我们的长期 EEG 和临床神经放射学研究数据使我们能够描述 AIC 的两种不同表型,其影像学严重程度不同,特别是在发病时的 EEG 不同,这些特征随时间推移趋于保持不变。

意义

这些发现可能有助于预测长期的临床结果。

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