Assessing the Feasibility of Providing a Real-Time Response to Seizures Detected With Continuous Long-Term Neonatal Electroencephalography Monitoring.
Algorithms
Brain
/ physiopathology
Electroencephalography
/ methods
Family
/ psychology
Feasibility Studies
Health Personnel
Humans
Infant, Newborn
Intensive Care Units, Neonatal
Intensive Care, Neonatal
/ methods
Interviews as Topic
Neurophysiological Monitoring
/ methods
Pattern Recognition, Automated
Qualitative Research
Seizures
/ diagnosis
Software
Time Factors
Journal
Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
ISSN: 1537-1603
Titre abrégé: J Clin Neurophysiol
Pays: United States
ID NLM: 8506708
Informations de publication
Date de publication:
Jan 2019
Jan 2019
Historique:
pubmed:
6
10
2018
medline:
12
4
2019
entrez:
6
10
2018
Statut:
ppublish
Résumé
Continuous video electroencephalography (cEEG) monitoring is the recommended gold standard of care for at-risk neonates but is not available in many Neonatal Intensive Care Units (NICUs). To conduct a randomized treatment trial of levetiracetam for the first-line treatment of neonatal seizures (the NEOLEV2 trial), we developed a monitoring infrastructure at five NICUs, implementing recent technological advancements to provide continuous video EEG monitoring and real-time response to seizure detection. Here, we report on the feasibility of providing this level of care. Twenty-five key informant interviews were conducted with study neurologists, neonatologists, coordinators, and EEG technicians from the commercial EEG monitoring company Corticare. A general inductive approach was used to analyze these qualitative data. A robust infrastructure for continuous video EEG monitoring, remote review, and real-time seizure detection was established at all sites. At the time of this survey, 260 babies had been recruited and monitored for 2 to 6 days. The EEG technician review by the commercial EEG monitoring company was reassuring to families and neonatologists and led to earlier detection of seizures but did not reduce work load for neurologists. Neurologists found the automated neonatal seizure detector algorithm provided by the EEG software company Persyst useful, but the accuracy of the algorithm was not such that it could be used without review by human expert. Placement of EEG electrodes to initiate monitoring, especially after hours, remains problematic. Technological advancements have made it possible to provide at-risk neonates with continuous video EEG monitoring, real-time detection of and response to seizures. However, this standard of care remains unfeasible in usual clinical practice. Chief obstacles remain starting a recording and resourcing the real-time specialist review of suspect seizures.
Identifiants
pubmed: 30289769
doi: 10.1097/WNP.0000000000000525
pmc: PMC6320287
mid: NIHMS1505114
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
9-13Subventions
Organisme : FDA HHS
ID : R01 FD004147
Pays : United States
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