Fetal growth trajectories of babies born large-for-gestational age in the LIFECODES Fetal Growth Study

Paige A Bommarito1, David E Cantonwine2, Danielle R Stevens1

  • 1Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, NC.

Insights

Large-for-gestational age births show varied fetal growth patterns. A "catch-up growth" subgroup faces higher risks, including pregestational diabetes mellitus and neonatal intensive care unit admission.

Area of Science:

  • Perinatal medicine
  • Fetal development research
  • Maternal-fetal health

Background:

  • Large-for-gestational age (LGA) births are linked to adverse outcomes like birth injuries and obesity.
  • Limited research exists on fetal growth patterns within LGA populations, hindering identification of high-risk subgroups.

Purpose of the Study:

  • To identify distinct fetal growth trajectories among LGA births.
  • To investigate associations between these trajectories and sociodemographic, pregnancy, and birth outcome characteristics.

Main Methods:

  • Utilized ultrasound measurements (head circumference, abdominal circumference, femur length z-scores) from 235 LGA births.
  • Applied group-based multi-trajectory modeling to identify growth patterns from mid to late pregnancy.
  • Summarized sociodemographic, pregnancy, and birth outcome data based on identified trajectory membership.

Main Results:

  • Identified four fetal growth trajectories: catch-up growth, proportional AC-FL growth, disproportional AC-FL growth, and consistently large.
  • The 'catch-up growth' group showed increased risk for pregestational diabetes mellitus (36%), macrosomia (86%), and NICU admission (32%).
  • The 'consistently large' group exhibited the largest relative size and lower adverse birth outcome risk.

Conclusions:

  • Fetal growth trajectories among LGA births are diverse and associated with varying risks.
  • A 'catch-up growth' trajectory may indicate specific risks, particularly in the context of maternal pregestational diabetes mellitus.
  • Adverse outcome risk is not uniform across all LGA births, necessitating subgroup analysis.
Abstract

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