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Dataset Information

Early EEG-burst sharpness and 2-year disability in extremely preterm infants.


ABSTRACT:

Background

Automated computational measures of EEG have the potential for large-scale application. We hypothesised that a predefined measure of early EEG-burst shape (increased burst sharpness) could predict neurodevelopmental impairment (NDI) and mental developmental index (MDI) at 2 years of age over-and-above that of brain ultrasound.

Methods

We carried out a secondary analysis of data from extremely preterm infants collected for an RCT (SafeBoosC-II). Two hours of single-channel cross-brain EEG was used to analyse burst sharpness with an automated algorithm. The co-primary outcomes were moderate-or-severe NDI and MDI. Complete data were available from 58 infants. A predefined statistical analysis was adjusted for GA, sex and no, mild-moderate, and severe brain injury as

SUBMITTER: Plomgaard AM 

PROVIDER: S-EPMC10798884 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature