To develop a model for prediction of term pre‐eclampsia (PE) based on a combination of maternal factors and late third‐trimester biomarkers.

Data were derived from prospective screening for adverse obstetric outcomes in women attending their routine hospital visit at 35–37 weeks' gestation in two maternity hospitals in the UK. Uterine artery pulsatility index (UtA‐PI) was measured in 5362 pregnancies, mean arterial pressure (MAP) in 5386 and serum placental growth factor (PlGF) and serum soluble fms‐like tyrosine kinase‐1 (sFlt‐1) in 3920. Bayes' theorem was used to combine the a‐priori risk of PE from maternal factors with various combinations of biomarkers, expressed as multiples of the median (MoM). Five‐fold cross‐validation was used to estimate the performance of screening for PE, requiring delivery at some stage after assessment. The empirical performance of screening was compared to model predictions.

In pregnancies that developed PE, the values of MAP, UtA‐PI and sFlt‐1 were increased and PlGF was decreased compared to unaffected pregnancies. For all biomarkers evaluated, the deviation from normal was inversely related to the gestational age at which delivery became necessary for maternal or fetal indications. Screening by maternal factors and by a combination of maternal factors with all biomarkers predicted 35% and 84% of PE, respectively, at a 10% false‐positive rate.

A combination of maternal factors and biomarkers at 35–37 weeks' gestation can provide effective screening for term PE. Copyright © 2015 ISUOG. Published by John Wiley & Sons Ltd.