EEG monitoring duration to identify electroencephalographic seizures in critically ill children.

Publication/Presentation Date

9-15-2020

Abstract

OBJECTIVES: To determine the optimal duration of continuous EEG monitoring (CEEG) for electrographic seizure (ES) identification in critically ill children.

METHODS: We 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%.

RESULTS: ES 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).

CONCLUSIONS: A 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.

Volume

95

Issue

11

First Page

1599

Last Page

1599

ISSN

1526-632X

Disciplines

Medicine and Health Sciences | Pediatrics

PubMedID

32690798

Department(s)

Department of Pediatrics

Document Type

Article

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