Using Precision Medicine for the Prediction and Prevention of Early Pre-eclampsia: A Feasibility Study at Sunnybrook Health Sciences Centre.

Pre-eclampsia (PE) represents a pregnancy-specific systemic disorder that affects 3-8% of all pregnancies. In developed countries PE is considered a major public health problem responsible for severe maternal complications such as coagulopathy, renal and liver failure, stroke, and maternal death (>76,000 maternal death annually).

The traditional approach to screening for preeclampsia endorsed by national guidelines is based on a combination of maternal characteristics along with medical, obstetric and family history.

However, although these methods are simple and easy to perform, maternal factors can only identify less than 35% of all preeclampsia and approximately 40% of preterm-preeclampsia at a false- positive rate of 10%.

More recently, multivariate analysis has been used to develop predictive models for preeclampsia that can be applied as early as 11-13+6 weeks gestation. One such algorithm, developed by the Fetal Medicine Foundation UK(MFM UK), incorporates maternal risk factors, uterine artery doppler, mean arterial pressure, and serum markers of placental function and placental growth factor. The FMFUK algorithm has been shown to predict approximately 75-90% of those women destined to develop preeclampsia prior to 37 and 34 weeks respectively, at a false positive rate of 10%. This algorithm has been validated prospectively in several studies, including the prediction of other placental mediated complications of pregnancy, such as fetal growth restriction and perinatal death.

The new clinical model will include the following additions to the existing first trimester screening for aneuploidy: