Authors
- Soudabeh Kazemi Aski, 1
- Seyedeh Hajar Sharami 1
- Azadeh Tavangar 2
- ehsan Kazem Nezhad Leilie 3
- Seyedeh Fatemeh Dalil Heirati 1
- Atoosa Etezadi 1
1 Reproductive Health Research Center, Department of Obstetrics & Gynecology, Al-zahra Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
2 Reproductive Health Research Center, Department of Obstetrics & Gynecology, Al-Zahra Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
3 School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
Abstract
Background and objective: The initial diagnosis of predictive markers is essential for the IUGR. High levels of PAPP-A lead to increased levels of free IGF-1, which in turn reflects the function of the placenta and the fetus normal growth. The objective of this study was to compare the level of PAPP-A in pregnancy weeks 11-14 in women with and without intrauterine growth restriction and to assess the ability of this marker to predict adverse outcomes in pregnancy.
Methods: In this Comparative Cross-sectional study, 227 pregnant women were studied during 2017. Mothers were divided into two main groups with and without intrauterine growth restriction. The relevant data, including birth weight, preeclampsia, gestational diabetes, Apgar score, and PAPP-A, were recorded on special forms. Data analysis was done using SPSS-21 software.
Results: The mean age of participating women in this study was 28.8 ± 5.6 years. The median (IOR) number of gravidity and Gestational weight gain was 1 (1) and 12 (7) kg respectively. The difference in median (IOR) PAPP-A in patients with and without IUGR was statistically significant 0.64(0.57) and 1 (0.57), respectively, P= 0.001.The cut-off point for PAPP-A was 0.73 with a sensitivity=72.2% (95% CI: 64.32-79.16%) and a specify =60.5% (95% CI: 48.65 -71.56%).
Conclusion: The results of this study confirm the relationship between low levels of PAPP-A and adverse outcomes of pregnancy. In the present study, the optimal cut-off point (0.73) is higher than other studies, which can be due to racial and epidemiological differences.
Keywords
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