Validation of a Model for Targeted EEG Monitoring Duration in Critically Ill Children.
Publication/Presentation Date
11-1-2023
Abstract
PURPOSE: Continuous EEG monitoring (CEEG) to identify electrographic seizures (ES) in critically ill children is resource intense. Targeted strategies could enhance implementation feasibility. We aimed to validate previously published findings regarding the optimal CEEG duration to identify ES in critically ill children.
METHODS: This was a prospective observational study of 1,399 consecutive critically ill children with encephalopathy. We validated the findings of a multistate survival model generated in a published cohort ( N = 719) in a new validation cohort ( N = 680). The model aimed to determine the CEEG duration at which there was < 15%, < 10%, < 5%, or < 2% risk of experiencing ES if CEEG were continued longer. The model included baseline clinical risk factors and emergent EEG risk factors.
RESULTS: A model aiming to determine the CEEG duration at which a patient had < 10% risk of ES if CEEG were continued longer showed similar performance in the generation and validation cohorts. Patients without emergent EEG risk factors would undergo 7 hours of CEEG in both cohorts, whereas patients with emergent EEG risk factors would undergo 44 and 36 hours of CEEG in the generation and validation cohorts, respectively. The < 10% risk of ES model would yield a 28% or 64% reduction in CEEG hours compared with guidelines recommending CEEG for 24 or 48 hours, respectively.
CONCLUSIONS: This model enables implementation of a data-driven strategy that targets CEEG duration based on readily available clinical and EEG variables. This approach could identify most critically ill children experiencing ES while optimizing CEEG use.
Volume
40
Issue
7
First Page
589
Last Page
599
ISSN
1537-1603
Published In/Presented At
Fung, F. W., Fan, J., Parikh, D. S., Vala, L., Donnelly, M., Jacobwitz, M., Topjian, A. A., Xiao, R., & Abend, N. S. (2023). Validation of a Model for Targeted EEG Monitoring Duration in Critically Ill Children. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 40(7), 589–599. https://doi.org/10.1097/WNP.0000000000000940
Disciplines
Medicine and Health Sciences | Pediatrics
PubMedID
35512186
Department(s)
Department of Pediatrics
Document Type
Article