Developing a new algorithm for first and second trimester preeclampsia screening in twin pregnancies.

Abstract:

OBJECTIVES:Construct a new preeclampsia predicting algorithm in twins. METHODS:Twins sampled at 10-13 and 16-20 gestational weeks and their marker values were log transformed into multiples of the gestation-specific medians (MoMs) for singletons and entered into a new logistic regression model with/without prior risk factors. RESULTS:The cohort included 9 PE (18 samples) and 96 unaffected cases (175 samples) twin pregnant women. The algorithm constructed of PlGF, PAPP-A, PP13, Doppler UTPI, and MAP with prior risk factors generated an area under the curve of 0.918, 75% detection rate for 10% false-positive rate. CONCLUSIONS:The algorithm effectively forecasted twin risk to develop PE.

journal_name

Hypertens Pregnancy

authors

Maymon R,Trahtenherts A,Svirsky R,Melcer Y,Madar-Shapiro L,Klog E,Meiri H,Cuckle H

doi

10.1080/10641955.2016.1242605

subject

Has Abstract

pub_date

2017-02-01 00:00:00

pages

108-115

issue

1

eissn

1064-1955

issn

1525-6065

journal_volume

36

pub_type

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