Scaling the EVERREST of severe, early-onset fetal growth restriction

PubMed

Insights

Predicting outcomes for fetal growth restriction is challenging. New models combining ultrasound data can better identify high-risk pregnancies for improved counseling and clinical trial enrollment.

Area of Science:

  • Perinatology
  • Maternal-Fetal Medicine
  • Genetics

Background:

  • Severe, early-onset fetal growth restriction (FGR) is a major cause of preterm birth and adverse perinatal outcomes.
  • Current treatments to improve fetal growth or prolong pregnancy are lacking.
  • Predicting pregnancy outcomes in FGR is difficult due to diverse phenotypes.

Purpose of the Study:

  • To develop discriminative models for predicting adverse outcomes in FGR.
  • To identify pregnancies at high risk for fetal/neonatal death or early delivery.

Main Methods:

  • Utilized a discovery-science approach combined with ultrasound parameters.
  • Developed predictive models for primary (fetal/neonatal death) and secondary (death or delivery ≤28 weeks) outcomes.

Main Results:

  • Identified the most discriminative models for predicting adverse pregnancy outcomes in FGR.
  • Findings enable better individualization of patient counseling.

Conclusions:

  • The developed models can identify pregnancies with considerable risk, justifying enrollment in interventional trials.
  • Improved prediction facilitates personalized patient care and advances clinical trial recruitment for FGR.