How much time is enough? Establishing an optimal duration of recording for ambulatory video EEG.


Journal

Epilepsia open
ISSN: 2470-9239
Titre abrégé: Epilepsia Open
Pays: United States
ID NLM: 101692036

Informations de publication

Date de publication:
09 2021
Historique:
revised: 22 06 2021
received: 05 05 2021
accepted: 23 06 2021
pubmed: 2 7 2021
medline: 19 3 2022
entrez: 1 7 2021
Statut: ppublish

Résumé

Ambulatory video EEG allows for extended recording of EEG in the comfort of a patient's home. However, the optimal duration of recording to capture clinical events is yet to be established. The current study uses retrospective analyses to identify an optimal recording duration for at-home video EEG. A retrospective review was performed utilizing an anonymized database of ambulatory video EEG recordings performed between March and September 2020 with a national in-home EEG provider. Only completed assessments with neurologists' reads of raw data were reviewed, resulting in 3644 unique studies divided into three age cohorts: pediatrics (n = 941), adult (n = 2020), and geriatric (n = 683). Cohorts were characterized by assessment yield and time to first typical clinical event, as well as subsequent typical events over duration of recording. Frequency distributions reveal over half of first events are captured within 12 hours, but longer recording durations capture a much wider majority of both first typical events, as well as the mean number of subsequent events (5 clinical events). In 72 hours, over 97% of first events were observed in adult and geriatric patients, as well as over 95% of the mean number of subsequent events. In children, time to first event was significantly earlier than either adult or geriatric samples, with 98% of first events, and 92.8% of the mean number of subsequent events being observed in 48 hours. These results from a large-scale, national dataset of patients using in-home EEG monitoring suggests recording at least 48 hours in duration for children, and at least 72 hours in duration for adult and geriatric samples, is optimal to maximize the likelihood of observing typical clinical events to facilitate diagnosis.

Identifiants

pubmed: 34197695
doi: 10.1002/epi4.12517
pmc: PMC8408602
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

569-578

Informations de copyright

© 2021 The Authors. Epilepsia Open published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.

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Auteurs

Trudy Pang (T)

Beth Israel Deaconess Medical Center, Department of Neurology, Harvard Medical School, Boston, MA, USA.

Jeremy Slater (J)

Stratus, Irving, TX, USA.
Department of Neurology, University of Texas, McGovern Medical School, Houston, TX, USA.

Richard Eugene Ramsay (RE)

Neurotech Associates Inc, Miami, FL, USA.

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Classifications MeSH