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Original Article

Use of prokineticin-1 (PROK1), pregnancy-associated plasma protein A (PAPP-A) and PROK1/PAPP-A ratio to predict adverse pregnancy outcomes in the first trimester: a prospective study

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Pages 2685-2692 | Received 05 May 2017, Accepted 03 Jul 2017, Published online: 16 Jul 2017
 

Abstract

Introduction: To compare the predictive effectiveness levels of prokineticin-1 (PROK1), pregnancy-associated plasma protein A (PAPP-A) and the PROK1/PAPP-A ratio in the first trimester for preeclampsia (PE), foetal growth restriction (FGR), gestational diabetes mellitus (GDM) and spontaneous preterm birth (SPB).

Materials and methods: A total of randomly selected 162 pregnant women were included. Peripheral blood samples were obtained between 110/7 and 136/7 gestational weeks (GWs). All women were followed throughout the pregnancy and classified into five groups as having PE, FGR, GDM, SPB and uncomplicated pregnancies. The cut-off levels of the markers were identified to predict adverse outcomes.

Results: PROK1 predicted PE with 83.3% sensitivity, 85.7% specificity at a value of >293.4 pg/mL; at a value of >260.2 pg/mL, PROK1 predicted FGR with 85.7% sensitivity, 72.5% specificity in the first trimester. The area under receiver operating characteristic (ROC) curve of PAPP-A was lower than that of PROK1 and PROK1/PAPP-A in differentiating PE and FGR from the uncomplicated group (p < .001). PROK1 levels and the PROK1/PAPP-A ratios in the SPB and GDM groups were lower than in the uncomplicated group (p < .01).

Conclusions: Elevated PROK1 in the first trimester is a more effective marker than PAPP-A in the prediction of PE and FGR. Lower PROK1 levels are associated with the development of SPB and GDM.

Acknowledgements

We thank “Research Fund of the Trakya University” for funding support. And we also thank all the workers of Departments of Obstetrics & Gynecology of Trakya University.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by Research Fund of the Trakya University (project number: 2015/113).

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