Performance of six birth-weight and estimated-fetal-weight standards for predicting adverse perinatal outcome: a

S K Y Choi1,2, A Gordon3,4, L Hilder1,2

  • 1Centre for Big Data Research in Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.

Insights

Evaluating birth-weight (BW) and estimated-fetal-weight (EFW) standards revealed significant differences in classifying small-for-gestational age (SGA) and large-for-gestational age (LGA) babies. Performance in predicting adverse outcomes was poor across all evaluated charts.

Area of Science:

  • Obstetrics and Gynecology
  • Perinatal Medicine
  • Fetal Growth Assessment

Background:

  • Accurate classification of fetal growth deviations, such as small-for-gestational age (SGA) and large-for-gestational age (LGA), is crucial for identifying fetuses at risk of adverse perinatal outcomes.
  • Various birth-weight (BW) and estimated-fetal-weight (EFW) standards are used globally, but their performance in diverse populations and their ability to predict adverse outcomes require thorough evaluation.

Purpose of the Study:

  • To compare the performance of three BW standards (Australian, Fenton, INTERGROWTH-21st) and three EFW standards (Hadlock, INTERGROWTH-21st, WHO) in classifying SGA and LGA.
  • To assess the predictive accuracy of these standards for adverse perinatal outcomes in preterm and term infants.

Main Methods:

  • A nationwide population-based study involving 2.4 million singleton births in Australia (2004-2013).
  • Evaluation of BW and EFW standards based on SGA/LGA classification and prediction of stillbirth, neonatal death, perinatal death, and composite morbidity outcomes.
  • Analysis stratified by gestational age at delivery (<37 weeks vs. ≥37 weeks).

Main Results:

  • Significant variations in SGA/LGA classification and risk prediction were observed among the six standards.
  • The INTERGROWTH-21st standards classified fewer term SGA and more term LGA infants compared to others, altering risk profiles.
  • All evaluated BW and EFW charts demonstrated poor performance in predicting adverse outcomes, with low areas under the receiver-operating-characteristics curves (AUCs).

Conclusions:

  • Marked variations in classification and poor predictive performance question the universal applicability of international growth standards for multiethnic populations.
  • Caution is advised when adopting universal growth standards for clinical and epidemiological use due to population-specific performance differences.
Abstract