A New Model for Screening for Late-Onset Preeclampsia in the Third Trimester

Area of Science:

• Maternal-Fetal Medicine
• Obstetrics
• Clinical Prediction Modeling

Background:

• Early identification of high-risk pregnancies for late-onset preeclampsia (PE) is vital for improved outcomes.
• Existing PE prediction algorithms require validation in diverse populations.
• The Fetal Medicine Foundation (FMF) third-trimester algorithm is a widely used tool for PE risk assessment.

Purpose of the Study:

• To evaluate the predictive performance of the FMF third-trimester algorithm for late-onset PE in a specific population.
• To develop and validate a novel predictive model for late-onset PE with improved accuracy.
• To simplify PE prediction by potentially excluding certain markers like the uterine artery pulsatility index (UtA-PI).

Main Methods:

• A prospective cohort study involving 1580 singleton pregnancies was conducted.
• Maternal clinical data, blood pressure, UtA-PI, and sFlt-1/PlGF ratio were collected in the third trimester.
• The FMF algorithm was applied retrospectively, and a new model was developed and compared using receiver operating characteristic (ROC) analysis.

Main Results:

• The prevalence of late-onset PE was 2.9% in the study cohort.
• The FMF model achieved an area under the curve (AUC) of 0.87 for PE prediction.
• The newly developed model demonstrated superior performance with an AUC of 0.94, showing higher predictive accuracy.

Conclusions:

• The FMF third-trimester algorithm shows good predictive performance for late-onset PE.
• The novel developed model offers enhanced predictive accuracy for late-onset PE.
• The simplified approach of the new model, excluding UtA-PI, facilitates its routine clinical application.