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Dataset Information

Development of a model to predict electroencephalographic seizures in neonates with hypoxic ischemic encephalopathy treated with therapeutic hypothermia.


ABSTRACT:

Objective

Electroencephalographic seizures (ES) are common in neonates with hypoxic-ischemic encephalopathy (HIE), but identification with continuous electroencephalographic (EEG) monitoring (CEEG) is resource-intensive. We aimed to develop an ES prediction model.

Methods

Using a prospective observational study of 260 neonates with HIE undergoing CEEG, we identified clinical and EEG risk factors for ES, evaluated model performance with area under the receiver operating characteristic curve (AUROC), and calculated test characteristics emphasizing high sensitivity. We assessed ES incidence and timing in neonates subdivided by ES risk group (low, moderate, high) as determined by EEG risk factors.

Results

ES occurred in 32% (83/260) of neonates. Performing CEEG for only 2

SUBMITTER: Massey SL 

PROVIDER: S-EPMC11827730 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature