Ulate-Campos A, Coughlin F, Gaínza-Lein M, Fernández I Sánchez, Pearl P L, Loddenkemper T
Department of Neurology, National Children's Hospital "Dr. Carlos Saenz Herrera", San José, Costa Rica.
Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Seizure. 2016 Aug;40:88-101. doi: 10.1016/j.seizure.2016.06.008. Epub 2016 Jun 17.
Epilepsy affects almost 1% of the population and most of the approximately 20-30% of patients with refractory epilepsy have one or more seizures per month. Seizure detection devices allow an objective assessment of seizure frequency and a treatment tailored to the individual patient. A rapid recognition and treatment of seizures through closed-loop systems could potentially decrease morbidity and mortality in epilepsy. However, no single detection device can detect all seizure types. Therefore, the choice of a seizure detection device should consider the patient-specific seizure semiologies. This review of the literature evaluates seizure detection devices and their effectiveness for different seizure types. Our aim is to summarize current evidence, offer suggestions on how to select the most suitable seizure detection device for each patient and provide guidance to physicians, families and researchers when choosing or designing seizure detection devices. Further, this review will guide future prospective validation studies.
癫痫影响着近1%的人口,在大约20%-30%的难治性癫痫患者中,大多数患者每月会发作一次或多次。癫痫发作检测设备能够对发作频率进行客观评估,并为个体患者量身定制治疗方案。通过闭环系统快速识别和治疗癫痫发作可能会降低癫痫的发病率和死亡率。然而,没有一种单一的检测设备能够检测出所有类型的癫痫发作。因此,癫痫发作检测设备的选择应考虑患者特定的发作症状学。这篇文献综述评估了癫痫发作检测设备及其对不同发作类型的有效性。我们的目的是总结当前的证据,就如何为每位患者选择最合适的癫痫发作检测设备提供建议,并在选择或设计癫痫发作检测设备时为医生、患者家属和研究人员提供指导。此外,这篇综述将为未来的前瞻性验证研究提供指导。