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Updated: Aug 7, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Predicting the Neurodevelopmental Outcome in Extremely Preterm Newborns Using a Multimodal Prognostic Model Including

Laura Routier^1,2, Laurent Querne^1,3, Ghida Ghostine-Ramadan^1,4

¹INSERM UMR 1105, Research Group on Multimodal Analysis of Brain Function, University of Picardie Jules Verne, Amiens Cedex, France.

JAMA Network Open

|March 8, 2023

Summary

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A new multimodal model integrating brain function and structure with clinical data significantly improves prediction of death or neurodevelopmental impairment in extremely preterm infants.

Area of Science:

Neonatal Medicine
Neurodevelopmental Pediatrics
Medical Informatics

Background:

Early prognosis for preterm newborns is vital for parental counseling and treatment decisions.
Current prognostic models often lack functional brain information from conventional electroencephalography (cEEG).

Purpose of the Study:

To evaluate a multimodal model combining brain function (cEEG), brain structure (cranial ultrasonography), and perinatal/postnatal risk factors.
To predict death or neurodevelopmental impairment (NDI) in extremely preterm infants.

Main Methods:

Retrospective study of 109 preterm infants (23-28 weeks GA) from 2013-2018.
Developed unimodal and multimodal prognostic models using decision-tree algorithms.
Compared model performance using area under the curve (AUC) with bootstrap tests.

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Preterm EEG: A Multimodal Neurophysiological Protocol

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Published on: September 6, 2017

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Last Updated: Aug 7, 2025

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

Preterm EEG: A Multimodal Neurophysiological Protocol

Preterm EEG: A Multimodal Neurophysiological Protocol

Published on: February 18, 2012

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates

Published on: September 6, 2017

Main Results:

The multimodal model achieved a significantly higher AUC (91.7%) compared to unimodal models (ranging from 76.6% to 81.0%).
Brain function (cEEG) and structure (cranial ultrasonography) data improved predictive accuracy.
The model accurately predicted adverse outcomes (death or severe NDI) versus favorable outcomes (no or moderate NDI).

Conclusions:

Integrating functional brain information into a multimodal model substantially enhances prognostic accuracy for extremely preterm infants.
This approach accounts for the complex interplay of factors affecting brain development and outcomes.
Improved prediction facilitates better clinical decision-making and parental support.