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EEG monitoring duration to identify electroencephalographic seizures in critically ill children
- Source :
- Neurology
- Publication Year :
- 2020
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2020.
-
Abstract
- ObjectivesTo determine the optimal duration of continuous EEG monitoring (CEEG) for electrographic seizure (ES) identification in critically ill children.MethodsWe performed a prospective observational cohort study of 719 consecutive critically ill children with encephalopathy. We evaluated baseline clinical risk factors (age and prior clinically evident seizures) and emergent CEEG risk factors (epileptiform discharges and ictal-interictal continuum patterns) using a multistate survival model. For each subgroup, we determined the CEEG duration for which the risk of ES was ResultsES occurred in 184 children (26%). Patients achieved ConclusionsA model derived from 2 baseline clinical risk factors and emergent EEG risk factors would allow clinicians to implement personalized strategies that optimally target limited CEEG resources. This would enable more widespread use of CEEG-guided management as a potential neuroprotective strategy.ClinicalTrials.gov identifierNCT03419260.
- Subjects :
- Male
medicine.medical_specialty
Critical Illness
Encephalopathy
Electroencephalography
Article
Cohort Studies
03 medical and health sciences
0302 clinical medicine
Seizures
030225 pediatrics
Humans
Medicine
Prospective Studies
Duration (project management)
Child
Prospective cohort study
Survival analysis
Monitoring, Physiologic
medicine.diagnostic_test
business.industry
Infant
medicine.disease
Child, Preschool
Emergency medicine
Female
Observational study
Neurology (clinical)
business
Eeg monitoring
030217 neurology & neurosurgery
Cohort study
Subjects
Details
- ISSN :
- 1526632X and 00283878
- Volume :
- 95
- Database :
- OpenAIRE
- Journal :
- Neurology
- Accession number :
- edsair.doi.dedup.....64b67ca825415629a0a3c64e502899e4