Related Experiment Video
Updated: Jan 18, 2026
05:15
Author Spotlight: Assessing the Feasibility of Using Amplitude-Integrated EEG During Neonatal Transport
Published on: June 21, 2024
1.2K
Data harmonization framework for neonatal hypoxic-ischemic encephalopathy studies
Chuan-Heng Hsiao1, Anna N Foster1, Scott A McDonald2
1Fetal-Neonatal Neuroimaging Developmental Science Center, Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, United States.
JAMIA Open
|September 8, 2025
Summary
A new data harmonization framework for neonatal hypoxic-ischemic encephalopathy (HIE) was developed. This framework successfully identified strong predictor-outcome associations, paving the way for advanced prognostic biomarker development in HIE.
Area of Science:
- Neonatal neurology
- Biostatistics
- Clinical informatics
Background:
- Neonatal hypoxic-ischemic encephalopathy (HIE) is a major cause of brain injury in newborns.
- Developing prognostic biomarkers for HIE is crucial for guiding treatment and improving outcomes.
- Existing HIE datasets are often heterogeneous, hindering large-scale analysis and biomarker discovery.
Purpose of the Study:
- To create a data harmonization framework for neonatal HIE studies.
- To demonstrate the framework's utility in identifying prognostic biomarkers for HIE.
Main Methods:
- Variables from two large HIE clinical trials were categorized chronologically and by medical topic.
- A dictionary was developed to standardize variable names and coding.
- Data were merged, and variable associations with 18- to 22-month neurodevelopmental outcomes were analyzed using Pearson's correlation.
Main Results:
- A dictionary of 1181 variables from 532 patients was created.
- Strong associations were found between predictor and outcome variables.
- Modified Sarnat scores and NRN MRI injury scores showed significant links to neurodevelopmental outcomes.
Conclusions:
- A robust data harmonization framework for HIE research has been established.
- The framework facilitates the identification of strong predictor-outcome associations.
- This approach enables the development of advanced prognostic biomarkers for neonatal HIE.
