Postnatal Prediction of Gestational Age Using Newborn Fetal Hemoglobin Levels

EBioMedicine. 2017 Feb:15:203-209. doi: 10.1016/j.ebiom.2016.11.032. Epub 2016 Dec 1.

Abstract

Introduction: In many parts of the developing world procurement of antenatal gestational age estimates is not possible, challenging provision of appropriate perinatal care. This study aimed to develop a model for postnatal gestational age estimation utilizing measures of the newborn hemoglobin levels and other metabolic analyte data derived from newborn blood spot samples.

Methods: We conducted a retrospective cohort analysis of 159,215 infants born January 2012-December 2014 in Ontario, Canada. Multivariable linear and logistic regression analyses were used to evaluate the precision of developed models.

Results: Models derived from a combination of hemoglobin ratios and birthweight were more precise at predicting gestational age (RMSE1·23weeks) than models limited to birthweight (RMSE1·34). Models including birthweight, hemoglobin, TSH and 17-OHP levels were able to accurately estimate gestational age to ±2weeks in 95·3% of the cohort and discriminate ≤34 versus >34 (c-statistic, 0·98). This model also performed well in small for gestational age infants (c-statistic, 0·998).

Discussion: The development of a point-of-care mechanism to allow widespread implementation of postnatal gestational age prediction tools that make use of hemoglobin or non-mass spectromietry-derived metabolites could serve areas where antenatal gestational age dating is not routinely available.

Keywords: Gestational age; Metabolomics; Newborn screening; Prediction modelling; Preterm birth.

MeSH terms

  • Birth Weight
  • Female
  • Fetal Hemoglobin*
  • Gestational Age*
  • Humans
  • Infant, Newborn
  • Models, Statistical
  • Neonatal Screening*
  • Ontario
  • Point-of-Care Systems
  • Population Surveillance*
  • Pregnancy
  • Reproducibility of Results
  • Retrospective Studies
  • Sensitivity and Specificity

Substances

  • Fetal Hemoglobin