Customized fetal weight limits for antenatal detection of fetal growth restriction

C L De Jong1, A Francis, H P Van Geijn

  • 1Department of Obstetrics and Gynecology, University Hospital, Vrije Universiteit, Amsterdam, The Netherlands.

Insights

Customized fetal weight percentiles accurately predict fetal growth restriction and adverse perinatal outcomes. The 10th customized percentile is a reliable clinical threshold for identifying at-risk neonates.

Area of Science:

  • Perinatology
  • Maternal-Fetal Medicine
  • Neonatology

Background:

  • Intrauterine growth restriction (IUGR) detection relies on accurate fetal weight estimation.
  • Standard fetal weight charts may not adequately account for individual variations.
  • Customized fetal growth standards offer improved prediction of adverse outcomes.

Purpose of the Study:

  • To establish optimal cut-off limits for individually adjusted fetal weight standards.
  • To enhance the detection of intrauterine growth restriction (IUGR).
  • To correlate customized fetal weight percentiles with specific perinatal complications.

Main Methods:

  • Retrospective study of 215 high-risk pregnancies.
  • Serial ultrasound scans used for fetal weight estimation.
  • Fetal weights adjusted for maternal and fetal characteristics (height, weight, ethnicity, parity, sex).

Main Results:

  • Fetal weight below the 10th customized percentile predicted small-for-gestational age (SGA) neonates, operative delivery for fetal distress, and NICU admission.
  • Optimal customized percentile for SGA prediction was the 18th (sensitivity 83%, specificity 79%).
  • The 8th customized percentile was optimal for predicting operative delivery and NICU admission.

Conclusions:

  • Individually adjusted fetal weight assessment via ultrasound predicts IUGR and hypoxia-related perinatal events.
  • The 10th customized percentile serves as a practical clinical cut-off for identifying fetuses at risk.
  • Customized standards improve the prediction of adverse perinatal outcomes compared to generic charts.
Abstract