Observational studyNeurology2020
EEG monitoring duration to identify electroencephalographic seizures in critically ill children.
Observational study in Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03419260 (Electrographic Seizure Management and Neurobehavioral Outcomes in Critically Ill Children), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Electrographic Seizure Management and Neurobehavioral Outcomes in Critically Ill Children
Who cites it
5 citing papers in PubMed, 17 citations in OpenAlex.
- Late-Onset Findings During Extended EEG Monitoring Are Rare in Critically Ill Children.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2025Article
- Review of Noninvasive Neuromonitoring Modalities in Children II: EEG, qEEG.Neurocritical care · 2023Review
- Continuous electroencephalography in the intensive care unit: A critical review and position statement from an Australian and New Zealand perspective.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2023Article
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
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 <5% and <2%.
resultsES occurred in 184 children (26%). Patients achieved <5% risk of ES after (1) 6 hours if ≥1 year without prior seizures or EEG risk factors; (2) 1 day if <1 year without prior seizures or EEG risks; (3) 1 day if ≥1 year with either prior seizures or EEG risks; (4) 2 days if ≥1 year with prior seizures and EEG risks; (5) 2 days if <1 year without prior seizures but with EEG risks; and (6) 2.5 days if <1 year with prior seizures regardless of the presence of EEG risks. Patients achieved <2% risk of ES at the same durations except patients without prior seizures or EEG risk factors would require longer CEEG (1.5 days if <1 year of age, 1 day if ≥1 year of age).
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. CLINICALTRIALSGOV IDENTIFIER: NCT03419260.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.