New Predictive Model at 11+0 to 13+6 Gestational Weeks for Early-Onset Preeclampsia With Fetal Growth Restriction

Ying Chang1, Xu Chen1, Hong-Yan Cui1

  • 11 Obstetrics Department, Tianjin Center Hospital of Obstetrics and Gynecology, Tianjin, China.

Insights

This study developed a predictive model for early-onset preeclampsia with fetal growth restriction (FGR) using first-trimester maternal factors. The model combines mean arterial pressure, uterine artery Doppler, and serum biomarkers for early diagnosis.

Area of Science:

  • Obstetrics and Gynecology
  • Maternal-Fetal Medicine
  • Biomarker Research

Background:

  • Early-onset preeclampsia with fetal growth restriction (FGR) poses significant risks to maternal and fetal well-being.
  • Accurate early diagnosis in the first trimester is crucial for timely intervention and improved outcomes.

Purpose of the Study:

  • To develop and evaluate a predictive model for early-onset preeclampsia with FGR.
  • To identify key maternal serum biomarkers and biophysical markers for early detection.

Main Methods:

  • Retrospective cohort study of 4453 pregnant women.
  • Analysis of first-trimester maternal serum levels of PAPP-A, PLGF, PP13, and sEng.
  • Inclusion of mean arterial pressure (MAP) and uterine artery Doppler measurements.

Main Results:

  • The predictive model achieved a diagnosis rate of 67.4% for early-onset preeclampsia with FGR at a 5% false positive rate.
  • The model's diagnostic performance increased to 73.2% at a 10% false positive rate.
  • The combined model incorporating MAP, Doppler, and biomarkers demonstrated predictive value.

Conclusions:

  • A predictive model combining maternal serum biomarkers, MAP, and uterine artery Doppler can aid in the early diagnosis of early-onset preeclampsia with FGR.
  • This model offers potential for improved screening in the first trimester (11-14 weeks gestation).
  • Further validation is warranted to confirm its clinical utility.