Observational studyJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society2018
Stability of Early EEG Background Patterns After Pediatric Cardiac Arrest.
Observational study in Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Association of EEG Response to Hypertonic Saline and Neurologic Outcomes in Pediatric Acute Brain Injury.Neurocritical care · 2026Article
- Association of EEG Background With Diffusion-Weighted Magnetic Resonance Neuroimaging and Short-Term Outcomes After Pediatric Cardiac Arrest.Neurology · 2024Article
- Perioperative Neuromonitoring in Children with Congenital Heart Disease.Neurocritical care · 2024Review
- Neuromonitoring after Pediatric Cardiac Arrest: Cerebral Physiology and Injury Stratification.Neurocritical care · 2024Review
- Magnetic resonance imaging adds prognostic value to EEG after pediatric cardiac arrest.Resuscitation · 2022Observational
- Multimodal monitoring including early EEG improves stratification of brain injury severity after pediatric cardiac arrest.Resuscitation · 2021Observational
- Machine learning models to predict electroencephalographic seizures in critically ill children.Seizure · 2021Observational
- EEG monitoring duration to identify electroencephalographic seizures in critically ill children.Neurology · 2020Observational
- Observational
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
purposeWe aimed to determine whether EEG background characteristics remain stable across discrete time periods during the acute period after resuscitation from pediatric cardiac arrest.
methodsChildren resuscitated from cardiac arrest underwent continuous conventional EEG monitoring. The EEG was scored in 12-hour epochs for up to 72 hours after return of circulation by an electroencephalographer using a Background Category with 4 levels (normal, slow-disorganized, discontinuous/burst-suppression, or attenuated-featureless) or 2 levels (normal/slow-disorganized or discontinuous/burst-suppression/attenuated-featureless). Survival analyses and mixed-effects ordinal logistic regression models evaluated whether the EEG remained stable across epochs.
resultsEEG monitoring was performed in 89 consecutive children. When EEG was assessed as the 4-level Background Category, 30% of subjects changed category over time. Based on initial Background Category, one quarter of the subjects changed EEG category by 24 hours if the initial EEG was attenuated-featureless, by 36 hours if the initial EEG was discontinuous or burst-suppression, by 48 hours if the initial EEG was slow-disorganized, and never if the initial EEG was normal. However, regression modeling for the 4-level Background Category indicated that the EEG did not change over time (odds ratio = 1.06, 95% confidence interval = 0.96-1.17, P = 0.26). Similarly, when EEG was assessed as the 2-level Background Category, 8% of subjects changed EEG category over time. However, regression modeling for the 2-level category indicated that the EEG did not change over time (odds ratio = 1.02, 95% confidence interval = 0.91-1.13, P = 0.75).
conclusionsThe EEG Background Category changes over time whether analyzed as 4 levels (30% of subjects) or 2 levels (8% of subjects), although regression analyses indicated that no significant changes occurred over time for the full cohort. These data indicate that the Background Category is often stable during the acute 72 hours after pediatric cardiac arrest and thus may be a useful EEG assessment metric in future studies, but that some subjects do have EEG changes over time and therefore serial EEG assessments may be informative.
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