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Related Experiment Video

Updated: Mar 29, 2026

Biochemical Measurement of Neonatal Hypoxia

Biochemical Measurement of Neonatal Hypoxia

Published on: August 24, 2011

Predicting gestational age using neonatal metabolic markers.

Kelli K Ryckman¹, Stanton L Berberich², John M Dagle³

¹Department of Epidemiology, University of Iowa, Iowa City, IA; Department of Pediatrics, University of Iowa, Iowa City, IA.

American Journal of Obstetrics and Gynecology

|December 10, 2015

Summary

This summary is machine-generated.

Newborn metabolic screening accurately estimates gestational age, outperforming newborn weight alone. This method offers a viable alternative for preterm birth surveillance where ultrasounds are unavailable.

Keywords:

fetal growth neonatal metabolism preterm birth

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Area of Science:

Biochemistry
Neonatal Medicine
Public Health Surveillance

Background:

Accurate gestational age estimation is crucial for neonatal care and perinatal research.
Prenatal ultrasound dating is the gold standard but not universally accessible.
Novel methods for gestational age estimation at birth are needed for preterm birth surveillance.

Purpose of the Study:

To investigate if routine newborn screening metabolic and endocrine markers can improve gestational age estimation.
To develop and validate a predictive model for gestational age using these markers.

Main Methods:

Retrospective analysis of 230,013 newborn screening records (2004-2009).
Multiple linear regression modeling using 44 metabolites and other markers.
Model validation using a separate testing dataset (n=76,671).

Main Results:

A 88-parameter metabolic regression model explained 52.8% of gestational age variation.
Gestational age was predicted within 1 week for 78% and within 2 weeks for 95% of infants.
The model demonstrated strong performance in differentiating preterm from term births (AUC=0.899) and improved accuracy in small-for-gestational age neonates compared to weight alone.

Conclusions:

Newborn metabolic profiles from routine screening provide an accurate method for gestational age estimation.
This metabolic model offers superior gestational age prediction in small-for-gestational age neonates compared to newborn weight.
Newborn metabolic screening is a promising tool for population-level preterm birth surveillance, especially in resource-limited settings.