长期视频脑电图监测对诊断和追踪儿童癫痫的价值。

IF 0.8 Q4 CLINICAL NEUROLOGY
Iranian Journal of Child Neurology Pub Date : 2024-01-01 Epub Date: 2024-01-18 DOI:10.22037/ijcn.v18i1.43012
Mahmood Mohammadi, Reza Shervin Badv, Zahra Rezaei, Mahmoodreza Ashrafi, Fatemeh Naeemi
{"title":"长期视频脑电图监测对诊断和追踪儿童癫痫的价值。","authors":"Mahmood Mohammadi, Reza Shervin Badv, Zahra Rezaei, Mahmoodreza Ashrafi, Fatemeh Naeemi","doi":"10.22037/ijcn.v18i1.43012","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Long-term video-EEG monitoring (LTM) is a new technique to assess and track fluctuations, classify seizures, identify epileptic syndromes, and determine the number of seizures and epilepsy-simulating disorders. The present study aims to evaluate the concordance of traditional EEG and LTM in assessing childhood epilepsy.</p><p><strong>Materials & methods: </strong>This cross-sectional before-after study was performed on 120 children with epilepsy who were referred to the Epilepsy Monitoring Unit (EMU) at the Children's Medical Center between September 2021 and September 2022 and were monitored for at least eight hours in this unit. The source of the study information collection was the patients' recorded files. A neurologist reviewed the primary EEGs, and two experts blindly reviewed and interpreted the patients' LTMs under a clinical neurophysiologist's supervision.</p><p><strong>Results: </strong>The diagnoses changed after employing LTM in most children with epilepsy. Based on the diagnostic agreement analysis between EEG and LTM, the coefficient value for LTM was calculated at -0.37 (p= 0.229), showing that LTM has significantly expanded patients' diagnoses and care plans.</p><p><strong>Conclusion: </strong>The use of LTM improves the diagnosis, classification, and monitoring of epilepsy in affected children and can be a reliable supplement to EEG in some instances.</p>","PeriodicalId":14537,"journal":{"name":"Iranian Journal of Child Neurology","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10874508/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Value of Long-term Video EEG Monitoring to Diagnose and Track Childhood Epilepsy.\",\"authors\":\"Mahmood Mohammadi, Reza Shervin Badv, Zahra Rezaei, Mahmoodreza Ashrafi, Fatemeh Naeemi\",\"doi\":\"10.22037/ijcn.v18i1.43012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Long-term video-EEG monitoring (LTM) is a new technique to assess and track fluctuations, classify seizures, identify epileptic syndromes, and determine the number of seizures and epilepsy-simulating disorders. The present study aims to evaluate the concordance of traditional EEG and LTM in assessing childhood epilepsy.</p><p><strong>Materials & methods: </strong>This cross-sectional before-after study was performed on 120 children with epilepsy who were referred to the Epilepsy Monitoring Unit (EMU) at the Children's Medical Center between September 2021 and September 2022 and were monitored for at least eight hours in this unit. The source of the study information collection was the patients' recorded files. A neurologist reviewed the primary EEGs, and two experts blindly reviewed and interpreted the patients' LTMs under a clinical neurophysiologist's supervision.</p><p><strong>Results: </strong>The diagnoses changed after employing LTM in most children with epilepsy. Based on the diagnostic agreement analysis between EEG and LTM, the coefficient value for LTM was calculated at -0.37 (p= 0.229), showing that LTM has significantly expanded patients' diagnoses and care plans.</p><p><strong>Conclusion: </strong>The use of LTM improves the diagnosis, classification, and monitoring of epilepsy in affected children and can be a reliable supplement to EEG in some instances.</p>\",\"PeriodicalId\":14537,\"journal\":{\"name\":\"Iranian Journal of Child Neurology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10874508/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Journal of Child Neurology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22037/ijcn.v18i1.43012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Child Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22037/ijcn.v18i1.43012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/18 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:长期视频脑电图监测(LTM)是一项新技术,可用于评估和跟踪癫痫波动、对癫痫发作进行分类、识别癫痫综合征、确定癫痫发作次数和癫痫模拟障碍。本研究旨在评估传统脑电图和 LTM 在评估儿童癫痫方面的一致性:这项前后交叉研究的对象是 2021 年 9 月至 2022 年 9 月期间转诊至儿童医学中心癫痫监护室(EMU)并在该监护室接受至少 8 小时监护的 120 名癫痫患儿。研究信息的收集来源是患者的记录档案。一名神经科医生对主要脑电图进行了审查,两名专家在临床神经生理学家的监督下对患者的LTM进行了盲审和解释:结果:大多数癫痫患儿在使用LTM后,诊断发生了变化。根据脑电图和 LTM 的诊断一致性分析,计算出 LTM 的系数值为-0.37(P= 0.229),表明 LTM 显著扩大了患者的诊断和护理计划:结论:LTM 的使用改善了患儿癫痫的诊断、分类和监测,在某些情况下可作为脑电图的可靠补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Value of Long-term Video EEG Monitoring to Diagnose and Track Childhood Epilepsy.

Objectives: Long-term video-EEG monitoring (LTM) is a new technique to assess and track fluctuations, classify seizures, identify epileptic syndromes, and determine the number of seizures and epilepsy-simulating disorders. The present study aims to evaluate the concordance of traditional EEG and LTM in assessing childhood epilepsy.

Materials & methods: This cross-sectional before-after study was performed on 120 children with epilepsy who were referred to the Epilepsy Monitoring Unit (EMU) at the Children's Medical Center between September 2021 and September 2022 and were monitored for at least eight hours in this unit. The source of the study information collection was the patients' recorded files. A neurologist reviewed the primary EEGs, and two experts blindly reviewed and interpreted the patients' LTMs under a clinical neurophysiologist's supervision.

Results: The diagnoses changed after employing LTM in most children with epilepsy. Based on the diagnostic agreement analysis between EEG and LTM, the coefficient value for LTM was calculated at -0.37 (p= 0.229), showing that LTM has significantly expanded patients' diagnoses and care plans.

Conclusion: The use of LTM improves the diagnosis, classification, and monitoring of epilepsy in affected children and can be a reliable supplement to EEG in some instances.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.40
自引率
0.00%
发文量
35
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信