Diagnostic markers in combination improve the identification of growth-restricted neonates

Popi Sifianou1, Vasso Ktena, Helen Karga

  • 1Dept. of Neonatology, General and Maternity Hospital, Elena Venizelou, Athens, Greece. posifi@otenet.gr

Insights

Diagnosing neonates with restricted growth is challenging. Combining simple diagnostic markers like anthropometrics and nutritional status improves detection accuracy for better infant health outcomes.

Area of Science:

  • Neonatal Medicine
  • Pediatric Endocrinology
  • Biomarkers in Perinatal Health

Background:

  • Accurate identification of growth-restricted neonates is limited by the absence of effective diagnostic tools.
  • Fetal growth restriction (FGR) poses significant risks to infant health and long-term development.

Purpose of the Study:

  • To evaluate the diagnostic value of combining multiple markers for detecting growth-restricted neonates.
  • To assess the predictive power of anthropometric indices, nutritional status, and placental weight in identifying FGR.

Main Methods:

  • Assessed anthropometric indices, nutritional status, and placental weight in 180 neonates (>36 weeks gestational age).
  • Measured cord blood levels of Insulin-like Growth Factor I (IGF-I) and IGF Binding Protein 3 (IGFBP-3).
  • Classified neonates into groups based on low anthropometric values (≤25th centile for gestational age) and performed statistical analyses.

Main Results:

  • Neonates with multiple low anthropometric indices (Group(25)2) showed significantly lower IGF-I, IGFBP-3 levels, and placental weight compared to those with fewer low indices (P<0.0001).
  • Combining anthropometric indices improved prediction of IGF-I, IGFBP-3 levels, and placental weight.
  • Nutritional status significantly enhanced predictive models for all outcome variables.

Conclusions:

  • A combined approach using simple diagnostic markers offers enhanced diagnostic potential for identifying growth-restricted neonates.
  • This multi-marker strategy provides a more robust reference test than individual markers alone.
Abstract

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