Journal article

Prediction of preterm pre-eclampsia at midpregnancy using a multivariable screening algorithm

Carin Black, Daniel Lorber Rolnik, Ahmed Al-Amin, Stefan C Kane, Caroline Stolarek, Adrienne White, Fabricio Da Silva Costa, Shaun Brennecke

Australian and New Zealand Journal of Obstetrics and Gynaecology | Wiley | Published : 2020

Abstract

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+0 and 24+6 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. The outcome measured was preterm pre-eclampsia. MATERIALS AND METHODS: This is a pro..

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