Postnatal Foot Length to Determine Gestational Age: A Pilot Study

Lizelle Van Wyk1, Johan Smith2

  • 1Division of Neonatology, Department of Pediatrics and Child Health, Tygerberg Hospital, University of Stellenbosch, Cape Town 7505, South Africa lizelle@sun.ac.za.

Insights

Postnatal foot length measurement accurately determines gestational age in South African neonates. This method offers a reliable alternative when antenatal ultrasound is unavailable, improving newborn care.

Area of Science:

  • Neonatal Medicine
  • Pediatric Endocrinology
  • Biometrics

Background:

  • Gestational age is crucial for neonatal management, prognostication, and research.
  • Accurate gestational age assessment is often challenging in developing countries due to limited access to antenatal ultrasound.
  • Current methods like neonatal scores and last menstrual period are highly inaccurate.

Purpose of the Study:

  • To evaluate the accuracy of postnatal foot length measurement for determining gestational age.
  • To assess the feasibility of using foot length in a South African hospitalized neonatal population.
  • To provide a reliable method for gestational age estimation where antenatal diagnostics are scarce.

Main Methods:

  • A pilot study was conducted on hospitalized neonates in South Africa.
  • Foot length was measured using a plastic Vernier caliper.
  • Correlation between foot length and gestational age was analyzed.

Main Results:

  • Foot length demonstrated a strong positive correlation with gestational age (r=0.919, p<0.001).
  • Intra-observer and inter-observer variability for foot length measurements were low.
  • The findings indicate high accuracy in determining gestational age via foot length.

Conclusions:

  • Postnatal foot length measurement is a highly accurate method for determining gestational age.
  • This technique is a valuable tool for neonatal populations with limited access to antenatal sonar.
  • Foot length measurement offers a practical and reliable solution for gestational age assessment in resource-limited settings.