Isabelle Rapin Division of Child Neurology of the Saul R Korey Departments of Neurology and Pediatrics, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, New York, USA.
Department of Pediatrics, Saint-Luc University Hospital, Catholic University of Louvain, Brussels, Belgium.
Epileptic Disord. 2023 Apr;25(2):123-130. doi: 10.1002/epd2.20005. Epub 2023 May 3.
The International League Against Epilepsy (ILAE) Neonatal Seizure Framework was tested by medical personnel.
Attendees at the 2016 ILAE European Congress on Epileptology in Prague, the International Video-EEG Course in Pediatric Epilepsies in Madrid 2017, and a local meeting in Utrecht 2018, were introduced to the proposed ILAE neonatal classification system with teaching videos covering the seven types of clinical seizures in the proposed neonatal classification system. Five test digital video recordings of electroencephalography (EEG)-confirmed motor neonatal seizures were then shown and classified by the rater based on their knowledge of the proposed ILAE Neonatal Seizure Framework. A multi-rater Kappa statistic was used to assess the agreement between observers and the true diagnosis.
The responses of 194 raters were obtained. There was no single predominant classification system that was currently used by the raters. Using the ILAE framework, 78%-93% of raters correctly identified the clinical seizure type for each neonate; the overall inter-rater agreement (Kappa statistic) was 0.67. The clonic motor seizure type was most frequently accurately identified (93% of the time; κ = 0.870). EEG technicians correctly identified all presented motor seizure types more frequently than any other group (accuracy = 0.9).
The ILAE Neonatal Seizure Framework was judged by most raters to be better than other systems for the classification of clinical seizures. Among all seizure types presented, clonic seizures appeared to be the easiest to accurately identify. Average accuracy across the five seizure types was 84.5%. These data suggest that the ILAE neonatal seizure classification may be used by all healthcare professionals to correctly identify the predominant clinical seizure type.
国际抗癫痫联盟(ILAE)新生儿癫痫框架由医务人员进行了测试。
布拉格 2016 年 ILAE 欧洲癫痫学大会、马德里 2017 年国际儿科癫痫视频-脑电图课程和乌得勒支 2018 年当地会议的与会者观看了新提出的 ILAE 新生儿分类系统的教学视频,涵盖了新提出的新生儿分类系统中的七种临床癫痫发作类型。然后,根据他们对 ILAE 新生儿癫痫框架的了解,通过评分者对五个测试数字脑电图(EEG)确认的运动性新生儿癫痫发作的录像进行分类。使用多位评分者 Kappa 统计评估观察者之间的一致性和真实诊断。
获得了 194 名评分者的回应。评分者目前没有单一的主要分类系统。使用 ILAE 框架,78%-93%的评分者正确识别了每个新生儿的临床癫痫发作类型;总体观察者间一致性(Kappa 统计)为 0.67。痉挛性运动性癫痫发作类型最常被准确识别(93%的时间;κ=0.870)。脑电图技术员比任何其他组更频繁地正确识别所有呈现的运动性癫痫发作类型(准确性=0.9)。
大多数评分者认为,与其他系统相比,ILAE 新生儿癫痫框架更适合用于临床癫痫发作的分类。在所呈现的所有癫痫发作类型中,痉挛性发作似乎最容易准确识别。五种癫痫发作类型的平均准确率为 84.5%。这些数据表明,ILAE 新生儿癫痫分类可被所有医疗保健专业人员用于正确识别主要的临床癫痫发作类型。