Prediction and prevention of the macrosomic fetus

Jennifer M Walsh1, Fionnuala M McAuliffe

  • 1UCD Obstetrics and Gynaecology, School of Medicine and Medical Science, University College Dublin, National Maternity Hospital, Dublin, Ireland. jennifer.walsh@ucd.ie

Insights

Preventing fetal macrosomia is crucial to avoid long-term childhood obesity and adult metabolic complications. Early identification of at-risk pregnancies through improved biomarkers and intervention in maternal factors like weight and glycaemic control are key.

Area of Science:

  • Obstetrics and Gynecology
  • Neonatal Health
  • Public Health

Background:

  • Fetal macrosomia (large for gestational age) is linked to significant maternal and neonatal morbidity.
  • Long-term risks include childhood obesity and adult cardiovascular/metabolic complications.
  • The global rise in obesity makes preventing this cycle a pertinent issue.

Purpose of the Study:

  • To review contemporary evidence on predicting and preventing fetal macrosomia.
  • To highlight the challenges in antenatal detection and the need for improved methods.
  • To emphasize the importance of identifying and intervening in modifiable risk factors.

Main Methods:

  • Review of current literature on fetal macrosomia prediction and prevention.
  • Discussion of sonographic detection limitations and emerging biomarkers.
  • Analysis of risk factors amenable to intervention, including maternal weight, gestational weight gain, and glycaemic control.

Main Results:

  • Accurate sonographic detection of fetal macrosomia remains challenging.
  • Maternal factors like obesity, age, weight, gestational weight gain, and glycaemic control are critical risk factors.
  • Emerging fetal adiposity markers and maternal serum biomarkers show promise for improved antenatal detection.

Conclusions:

  • Accurate prediction and prevention of fetal macrosomia are essential to mitigate long-term health risks.
  • Intervention in modifiable maternal factors offers the most promising prevention strategy.
  • Further research is needed to optimize methods for maternal weight and glucose management.