The Utility of 24-h Video-EEG Monitoring in the Diagnosis of Epilepsy in Children

<b>Objectives:</b> Evaluate the diagnostic yield of 24-h video-EEG monitoring in a group of children admitted in our epilepsy monitoring unit (EMU). <b>Methods:</b> 232 children who underwent 24-h video-EEG monitoring was analysed. We divided each patient's monitoring duration into the first 1, 2, 4, 8, 16 h, relative to the whole 24 h monitoring period. The detection of the first interictal epileptiform discharges (IEDs), epileptic seizures (ES), and psychogenic non-epileptic seizures (PNES) were analysed relative to the different monitoring time subdivision. <b>Results:</b> Our findings revealed that: (1) there was no significant difference in the prevalence of detecting initial IEDs between the first 4-h and 24-h monitoring periods (73.7% vs 81%); (2) clinical events detection rate was statistically similar between the first 8-h and 24-h monitoring periods (15.5% vs 19.3%); (4) an 8-h monitoring was sufficient to capture IEDs, ES and PNES in focal epilepsy children; (5) a 1-h monitoring was sufficient to capture IEDs, ES and PNES in generalized epilepsy children; and (6) IEDs were detected within the first 1-h of monitoring in 96.7% self-limited focal epilepsies (SeLFEs) patient. <b>Conclusion:</b> Our study suggests that a 4-h monitoring has more value in increasing the detection rate of IEDs compared to the traditional shorter routine EEG. And in the case of SeLFEs, a 1-h of monitoring might be sufficient in detecting IEDs. A 24-h VEEG monitoring can detect clinical events in 19.3% of patients. Overall, the yield of IEDs and clinical events detection is adequate in children in children undergoing 24-h video-EEG monitoring.

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Publication Details

Journal
Clinical EEG and Neuroscience
Published
2024-09-19
DOI
https://doi.org/10.1177/15500594241286684
Citations
1
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
0.39
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article

The Utility of 24-h Video-EEG Monitoring in the Diagnosis of Epilepsy in Children

W. Jim Zheng, Stéphane Jean, Weihong Liu, Shiwei Song et al.
1 citations
Clinical EEG and Neuroscience
Epilepsy research and treatment
0.39
article

The Utility of 24-h Video-EEG Monitoring in the Diagnosis of Epilepsy in Children

W. Jim Zheng, Stéphane Jean, Weihong Liu, Shiwei Song, Qingxiang Zhang, Fuliang Lai
article en
1 citations

Abstract

<b>Objectives:</b> Evaluate the diagnostic yield of 24-h video-EEG monitoring in a group of children admitted in our epilepsy monitoring unit (EMU). <b>Methods:</b> 232 children who underwent 24-h video-EEG monitoring was analysed. We divided each patient's monitoring duration into the first 1, 2, 4, 8, 16 h, relative to the whole 24 h monitoring period. The detection of the first interictal epileptiform discharges (IEDs), epileptic seizures (ES), and psychogenic non-epileptic seizures (PNES) were analysed relative to the different monitoring time subdivision. <b>Results:</b> Our findings revealed that: (1) there was no significant difference in the prevalence of detecting initial IEDs between the first 4-h and 24-h monitoring periods (73.7% vs 81%); (2) clinical events detection rate was statistically similar between the first 8-h and 24-h monitoring periods (15.5% vs 19.3%); (4) an 8-h monitoring was sufficient to capture IEDs, ES and PNES in focal epilepsy children; (5) a 1-h monitoring was sufficient to capture IEDs, ES and PNES in generalized epilepsy children; and (6) IEDs were detected within the first 1-h of monitoring in 96.7% self-limited focal epilepsies (SeLFEs) patient. <b>Conclusion:</b> Our study suggests that a 4-h monitoring has more value in increasing the detection rate of IEDs compared to the traditional shorter routine EEG. And in the case of SeLFEs, a 1-h of monitoring might be sufficient in detecting IEDs. A 24-h VEEG monitoring can detect clinical events in 19.3% of patients. Overall, the yield of IEDs and clinical events detection is adequate in children in children undergoing 24-h video-EEG monitoring.

Clinical EEG and NeuroscienceVol. 56(2)
Fujian Medical University (CN), Dahua Hospital (CN), Union Hospital (CN)
Good health and well-being
Openalex Percentile: Top 35%
Epilepsy research and treatment
0.39
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