Osman Gamaleldin M, Araújo Davi F, Maciel Carolina B
Department of Neurology, Henry Ford Hospital, Detroit, Michigan, 48202, USA.
Federal University of Ceará School of Medicine, Fortaleza, CE, 60430-160, Brazil.
Curr Treat Options Neurol. 2018 Apr 18;20(5):15. doi: 10.1007/s11940-018-0500-y.
To present data available on the epidemiology and significance of rhythmic and periodic patterns that lie on the ictal interictal continuum and propose an algorithm for the clinical approach to patients exhibiting these patterns.
There is accumulating evidence on the prognostic implications of various rhythmic and periodic patterns in the critically ill population. These patterns are not only associated with increased seizure risk but have also been associated with worse outcome and increased long-term risk of epilepsy in recent studies. There is emerging evidence suggesting that certain EEG features as well as ancillary studies including serum, neuroimaging, and invasive multimodality monitory can assist in the risk stratification of neuronal injury associated with these patterns, allowing for a targeted approach to these patterns. We present a case illustrating the clinical nuances of these patterns. We propose an algorithm for a personalized and targeted approach to ictal interictal patterns based on risk stratification according to clinical, EEG, imaging, and invasive monitoring markers.
介绍关于发作期-发作间期连续体上节律性和周期性模式的流行病学及意义的现有数据,并提出一种针对表现出这些模式的患者的临床处理算法。
关于各种节律性和周期性模式在危重症人群中的预后意义,有越来越多的证据。这些模式不仅与癫痫发作风险增加有关,而且在最近的研究中还与更差的预后以及癫痫的长期风险增加有关。新出现的证据表明,某些脑电图特征以及包括血清、神经影像学和侵入性多模态监测在内的辅助研究,可有助于对与这些模式相关的神经元损伤进行风险分层,从而对这些模式采取有针对性的方法。我们展示了一个说明这些模式临床细微差别的病例。我们提出一种算法,根据临床、脑电图、影像学和侵入性监测指标进行风险分层,以对发作期-发作间期模式采取个性化和有针对性的方法。