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.
Authors
- W. Jim Zheng (ORCID: https://orcid.org/0000-0001-7411-6047)
- Stéphane Jean
- Weihong Liu (ORCID: https://orcid.org/0000-0002-1102-6156)
- Shiwei Song (ORCID: https://orcid.org/0000-0002-6105-8914)
- Qingxiang Zhang (ORCID: https://orcid.org/0000-0003-1171-8950)
- Fuliang Lai
Institutions
- Fujian Medical University (CN)
- Dahua Hospital (CN)
- Union Hospital (CN)
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