Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-22T07:19:18.434Z Has data issue: false hasContentIssue false

P.075 EEG features reflecting the neurodevelopmental assessment at term equivalent age in preterm born infants

Published online by Cambridge University Press:  24 June 2022

A Dufour
Affiliation:
(Montréal)*
M Gagnon
Affiliation:
(Montréal)
B Marandyuk
Affiliation:
(Montréal)
Z Mahdi
Affiliation:
(Montréal)
G Côté-Corriveau
Affiliation:
(Montréal)
A Nuyt
Affiliation:
(Montréal)
M Dehaes
Affiliation:
(Montréal)
T Luu
Affiliation:
(Montréal)
M Simard
Affiliation:
(Montréal)
EF Pinchefsky
Affiliation:
(Montréal)
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Background: In Canada, 7% of children are born preterm between 29 and 36 weeks gestational age (GA). Electroencephalography (EEG) provides a bedside evaluation of brain activity, yet the clinical significance of several EEG patterns requires further study. The goal of this study is to determine the EEG features at term equivalent age (TEA) that correlate with neurodevelopmental evaluation at TEA in infants born between 29-36 weeks GA. Methods: Prospective cohort study of preterm infants born 29-36 weeks GA with 1 hour EEG recording at TEA. EEG discontinuity index (proportion <25mcV amplitude) and spectral power densities were calculated as well as the mean and maximum values of interburst intervals. At TEA, neurodevelopment was evaluated using the General Movement Optimality Score (GMOS). Linear regression analyses were used to evaluate the association between EEG features and neurodevelopmental assessment. Results: Eighty-two children (median GA 33.6 weeks) were included (47 males). Median GMOS was 29.0 (IQR 24.3-35.0). A greater EEG discontinuity index was associated with reduced GMOS (B -6.85; 95% CI -12.13,-1.57; p=0.012). Conclusions: At TEA, a greater EEG discontinuity index was associated with a more abnormal neurodevelopmental assessment. Ongoing longitudinal neurodevelopmental assessments are needed to better evaluate the prognostic potential of TEA EEG.

Type
Poster Presentations
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation