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Prediction of preterm pre-eclampsia at midpregnancy using a multivariable screening algorithm.
Carin Black
1
,
2 ,
Daniel Lorber Rolnik
3
,
4 ,
Ahmed Al-Amin
5
,
6 ,
Stefan C Kane
1
,
2
,
5 ,
Caroline Stolarek
1 ,
Adrienne White
1 ,
Fabricio Da Silva Costa
3
,
7 ,
Shaun Brennecke
1
,
2
October 2020
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Abstract
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.