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Articles

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

, , , , , , & show all
Pages 108-115 | Received 22 Aug 2016, Accepted 24 Sep 2016, Published online: 11 Nov 2016
 

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.

Acknowledgments

We thank Dr. Ruth Cohen, Hylabs for stimulating discussions, and Perkin Elmer Inc for their support, valuable comments and for testing the samples for PlGF and PAPP-A by Delfia Xpress.

Funding

This work was supported by The European Commission FP7 Project ASPRE (# 601852) (AT, LMS, HM). The funding body had no influence on the study design, methods, results or conclusions.

Additional information

Funding

This work was supported by The European Commission FP7 Project ASPRE (# 601852) (AT, LMS, HM). The funding body had no influence on the study design, methods, results or conclusions.

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