Development and validation of a seizure prediction model in critically ill children.

ABSTRACT:

Purpose

Electrographic seizures are common in encephalopathic critically ill children, but identification requires continuous EEG monitoring (CEEG). Development of a seizure prediction model would enable more efficient use of limited CEEG resources. We aimed to develop and validate a seizure prediction model for use among encephalopathic critically ill children.

Method

We developed a seizure prediction model using a retrospectively acquired multi-center database of children with acute encephalopathy without an epilepsy diagnosis, who underwent clinically indicated CEEG. We performed model validation using a separate prospectively acquired single center database. Predictor variables were chosen to be readily available to clinicians prior to the onset of CEEG and included: age

SUBMITTER: Yang A 

PROVIDER: S-EPMC4315714 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature