Diagnostic yield of utilizing 24–72-hour video electroencephalographic monitoring in the diagnosis of seizures presenting as paroxysmal events in resource-limited settings

IF 2.8 3区 医学 Q2 CLINICAL NEUROLOGY
Epilepsia Open Pub Date : 2025-02-19 DOI:10.1002/epi4.70000
Chukwudi Nwogu, Chukwuma Nwaze, Adaeze Avah, Benjamin Anyanwu, Chinekwu Anyanwu
{"title":"Diagnostic yield of utilizing 24–72-hour video electroencephalographic monitoring in the diagnosis of seizures presenting as paroxysmal events in resource-limited settings","authors":"Chukwudi Nwogu,&nbsp;Chukwuma Nwaze,&nbsp;Adaeze Avah,&nbsp;Benjamin Anyanwu,&nbsp;Chinekwu Anyanwu","doi":"10.1002/epi4.70000","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>Long-term video electroencephalogram monitoring (LTVEM) is a standard practice in epilepsy centers to diagnose and characterize paroxysmal events. With the lack of data on LTVEM in Africa, we aimed to determine the clinical yield of LTVEM performed for 24–72 h to diagnose seizures in an epilepsy center in Nigeria.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This was a retrospective review of all patients admitted to our Epilepsy Monitoring Unit (EMU) from September 2018 to September 2021, with monitoring lasting between 24 and 72 h. We reviewed the patients' seizure semiology, time to the first event, and final diagnosis. The frequency of seizures was classified as “daily” in patients with one or more seizures per day, “persistent” in patients with less than one seizure per day but at least once in 6 months, and “rare” in patients with less than one seizure in 6 months. Patients with unclear duration due to recent onset were classified as “undefined”.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Seventy patients (34 males, 36 females) were included in our study. The mean age was 22.86 ± 18.00 years. The average duration of monitoring was 44.23 ± 16.16 h. Fifty-seven patients (81.4%) were confirmed to have seizures. Thirteen patients experienced non-epileptic events. Of these 13 patients, nine were diagnosed with psychogenic non-epileptic spells (PNES). Two patients were diagnosed with essential myoclonus and two patients were diagnosed with syncope. The time to the first interictal epileptiform discharge was within 8 h. In the first 24 h, 56 of 57 patients had ictal and interictal discharge (98.2%). These included 100% daily seizures, 100% persistent seizures, and 100% undefined events. One rare seizure was observed within 48 h.</p>\n </section>\n \n <section>\n \n <h3> Significance</h3>\n \n <p>The diagnostic yield of the LTVEM in well-selected patients for seizures in this study is 81.4%. Most patients received a diagnosis within 48 h of monitoring, and we found that extending the study beyond 72 h may not offer significant additional benefits in diagnosing seizures in patients presenting with paroxysmal events.</p>\n </section>\n \n <section>\n \n <h3> Plain Language Summary</h3>\n \n <p>There is limited information about the usefulness of long-term video electroencephalogram (EEG) monitoring in diagnosing seizures in Africa. Several conditions that resemble seizures (paroxysmal events) could be misdiagnosed, leading to inappropriate treatment. This study evaluated the effectiveness of 24- to 72-h video EEG monitoring in diagnosing seizures at an epilepsy center in Nigeria. Among 70 patients, 81.4% were diagnosed with seizures, with most diagnoses made within 48 h. The findings suggest that video EEG performed within 48 h can significantly help distinguish seizures from other paroxysmal events, thereby contributing to better management and outcomes.</p>\n </section>\n </div>","PeriodicalId":12038,"journal":{"name":"Epilepsia Open","volume":"10 2","pages":"487-493"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/epi4.70000","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epilepsia Open","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/epi4.70000","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

Long-term video electroencephalogram monitoring (LTVEM) is a standard practice in epilepsy centers to diagnose and characterize paroxysmal events. With the lack of data on LTVEM in Africa, we aimed to determine the clinical yield of LTVEM performed for 24–72 h to diagnose seizures in an epilepsy center in Nigeria.

Methods

This was a retrospective review of all patients admitted to our Epilepsy Monitoring Unit (EMU) from September 2018 to September 2021, with monitoring lasting between 24 and 72 h. We reviewed the patients' seizure semiology, time to the first event, and final diagnosis. The frequency of seizures was classified as “daily” in patients with one or more seizures per day, “persistent” in patients with less than one seizure per day but at least once in 6 months, and “rare” in patients with less than one seizure in 6 months. Patients with unclear duration due to recent onset were classified as “undefined”.

Results

Seventy patients (34 males, 36 females) were included in our study. The mean age was 22.86 ± 18.00 years. The average duration of monitoring was 44.23 ± 16.16 h. Fifty-seven patients (81.4%) were confirmed to have seizures. Thirteen patients experienced non-epileptic events. Of these 13 patients, nine were diagnosed with psychogenic non-epileptic spells (PNES). Two patients were diagnosed with essential myoclonus and two patients were diagnosed with syncope. The time to the first interictal epileptiform discharge was within 8 h. In the first 24 h, 56 of 57 patients had ictal and interictal discharge (98.2%). These included 100% daily seizures, 100% persistent seizures, and 100% undefined events. One rare seizure was observed within 48 h.

Significance

The diagnostic yield of the LTVEM in well-selected patients for seizures in this study is 81.4%. Most patients received a diagnosis within 48 h of monitoring, and we found that extending the study beyond 72 h may not offer significant additional benefits in diagnosing seizures in patients presenting with paroxysmal events.

Plain Language Summary

There is limited information about the usefulness of long-term video electroencephalogram (EEG) monitoring in diagnosing seizures in Africa. Several conditions that resemble seizures (paroxysmal events) could be misdiagnosed, leading to inappropriate treatment. This study evaluated the effectiveness of 24- to 72-h video EEG monitoring in diagnosing seizures at an epilepsy center in Nigeria. Among 70 patients, 81.4% were diagnosed with seizures, with most diagnoses made within 48 h. The findings suggest that video EEG performed within 48 h can significantly help distinguish seizures from other paroxysmal events, thereby contributing to better management and outcomes.

Abstract Image

在资源有限的情况下,利用24-72小时视频脑电图监测诊断作为阵发性事件出现的癫痫发作的诊断率。
目的:长期视频脑电图监测(LTVEM)是癫痫中心诊断和描述发作性事件的标准做法。由于非洲缺乏LTVEM数据,我们的目标是确定尼日利亚癫痫中心24-72小时LTVEM诊断癫痫发作的临床产量。方法:回顾性分析2018年9月至2021年9月在我们癫痫监测部门(EMU)住院的所有患者,监测时间为24至72小时。我们回顾了患者的癫痫符号学、首次发作的时间和最终诊断。发作频率分为每天发作一次或多次的患者为“每日”,每天少于一次但至少6个月一次的患者为“持续”,6个月少于一次发作的患者为“罕见”。因近期发病而持续时间不明确的患者被归类为“未定义”。结果:共纳入70例患者,其中男34例,女36例。平均年龄22.86±18.00岁。平均监测时间为44.23±16.16 h。57例(81.4%)患者确认有癫痫发作。13例患者出现非癫痫性事件。在这13例患者中,9例被诊断为心因性非癫痫发作(PNES)。2例被诊断为原发性肌阵挛,2例被诊断为晕厥。至第一次发作性癫痫样放电时间在8 h以内。在前24 h, 57例患者中有56例(98.2%)出现急、间期出院。这些包括100%的每日发作、100%的持续性发作和100%的未定义事件。1例罕见发作发生在48小时内。意义:本研究中,LTVEM对癫痫发作患者的诊断率为81.4%。大多数患者在监测后48小时内得到诊断,我们发现延长研究时间超过72小时可能无法为出现阵发性事件的患者诊断癫痫发作提供显著的额外益处。简单的语言总结:在非洲,关于长期视频脑电图(EEG)监测在诊断癫痫发作方面的有用性的信息有限。一些类似癫痫发作(阵发性事件)的情况可能被误诊,导致不适当的治疗。本研究评估了尼日利亚癫痫中心24至72小时视频脑电图监测在诊断癫痫发作中的有效性。70例患者中,81.4%被诊断为癫痫发作,大多数在48小时内确诊。研究结果表明,在48小时内进行视频脑电图可以显著帮助区分癫痫发作与其他发作性事件,从而有助于更好的管理和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Epilepsia Open
Epilepsia Open Medicine-Neurology (clinical)
CiteScore
4.40
自引率
6.70%
发文量
104
审稿时长
8 weeks
×
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