Aust N Z J Obstet Gynaecol
October 2020
Background: Competing risk models used for midpregnancy prediction of preterm pre-eclampsia have shown detection rates (DR) of 85%, at fixed false-positive rate (FPR) of 10%. The full algorithm used between 19 and 24 weeks includes maternal factors, mean arterial pressure (MAP), mean uterine artery pulsatility index (UtAPI), serum placental growth factor (PlGF) level in multiples of the median (MoM), and soluble Fms-like tyrosine kinase-1 (sFlt-1) level in MoM.
Aims: To assess performance of the Fetal Medicine Foundation (FMF) algorithm at midpregnancy to screen for preterm (<37 weeks) pre-eclampsia.
We performed an inter-assay comparison among three immunoassay platforms for midpregnancy testing of sFlt-1, PlGF and the sFlt-1/PlGF ratio, which are established markers for pre-eclampsia. Maternal blood was collected 19-22 weeks' gestation. Raw data values were converted to multiples of the median (MoM).
View Article and Find Full Text PDFObjectives: Pre-eclampsia remains a significant cause of morbidity and mortality. Placental biomarkers soluble Fms-like tyrosine kinase-1 (sFlt-1) and placental growth factor (PlGF) have been investigated previously for their ability to predict pre-eclampsia. We compared the performance of these biomarkers for midpregnancy pre-eclampsia prediction using three different immunoassay platforms.
View Article and Find Full Text PDFAim: To compare the performance of three different screening methods (National Institute for Health and Clinical Excellence (NICE) guidelines, American College of Obstetricians and Gynecologists (ACOG) recommendations and Fetal Medicine Foundation (FMF) algorithm) for second trimester prediction of preeclampsia.
Methods: This was a prospective non-intervention study in singleton pregnancies, including women attending for second trimester morphologic ultrasound at 19-22 weeks. Maternal characteristics, medical history, mean arterial pressure and mean uterine artery Doppler pulsatility index were recorded and used for risk assessment.