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Dataset Information

Electrographic Seizure Characteristics and Electrographic Status Epilepticus Prediction.


ABSTRACT:

Purpose

We aimed to characterize electrographic seizures (ES) and electrographic status epilepticus (ESE) and determine whether a model predicting ESE exclusively could effectively guide continuous EEG monitoring (CEEG) utilization in critically ill children.

Methods

This was a prospective observational study of consecutive critically ill children with encephalopathy who underwent CEEG. We used descriptive statistics to characterize ES and ESE, and we developed a model for ESE prediction.

Results

ES occurred in 25% of 1,399 subjects. Among subjects with ES, 23% had ESE, including 37% with continuous seizures lasting >30 minutes and 63% with recurrent seizures totaling 30 minutes within a 1-hour epoch. The median onset of ES and ESE occurred 1.8 and 0.18 hours after CE

SUBMITTER: Fung FW 

PROVIDER: S-EPMC11231061 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature