The adaptability of new trainees in pediatrics for the current epileptic seizure classification (ILAE-2017) with a modular education program

Author:

Imanli Maharram1,Simsek Erdem1,Dezhakam Afshin1,Kanmaz Seda1,Dokurel Ipek1,Serin Hepsen Mine1,Yilmaz Sanem1,Aktan Gul1,Tekgul Hasan1

Affiliation:

1. Ege University Children’s Hospital

Abstract

Abstract Objective. To evaluate the adaptability of trainees in pediatrics for the current seizure classification of the International League Against Epilepsy (ILAE-2017) with a modular education program (MEP) to provide a common language between neurologists and pediatricians. Methods. An MEP consisting of five modules for the current version of the ILAE-2017 seizure classification and three modules for the older ILAE-1981 version were applied to new-generation trainees in pediatrics. The MEP consisted of 50 illustrative pediatric seizure videos and an instruction manual kit including a seizure determinator. A post-test with 58 new videos was performed during the three-month follow-up period. Results. The overall success rate of the participants was slightly higher for ILAE-2017 than for ILAE-1981 in the post-MEP test (42% vs. 38%). Within the ILAE-2017 modules, similar success rates were defined for focal seizures (44%) and generalized seizures (39%). However, the participants more easily classified focal non-motor seizures (56.3%) than focal motor seizures (34.9%). Contrary, the participants had significantly lower correct rates for generalized non-motor seizures (26%) compared to generalized non-motor seizures (46%). The most miss-matched seizure types (> 50%) were automatisms and myoclonic seizures in focal seizures and atypical absences in generalized seizures for ILAE 2017 classification modules. Conclusion. The presented MEP provided considerable yields for ILAE-2017 seizure classification in pediatric trainees. However, booster applications of the MEP are needed for a better seizure classification with ILAE-2017 seizure nomenclature in clinical practice.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3