فهرست مطالب

Caspian Journal of Reproductive Medicine
Volume:6 Issue: 1, Winter-Spring 2020

  • تاریخ انتشار: 1399/02/12
  • تعداد عناوین: 2
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  • Fatemeh Karami, Nafiseh Sedaghat, Sedigheh Kolivand, Maryam Esmaeili, Sarang Younesi, MohammadHossein Modarressi* Pages 1-8
    Background

    The introduction of next generation sequencing (NGS) in recent decade to determine fetal aneuploidies through cell free fetal DNA (cffDNA) in maternal circulation has caused new challenges for conventional prenatal first and trimester screening. Limiting the conventional screening tests to the most powerful criteria would be an appropriate strategy in reducing the time around and cost of traditional tests before non-invasive NGS method.

    Methods

    In this study, the most important factors affecting the risk of Down syndrome was found using statistical and data mining analysis of pregnant women undergoing conventional prenatal screening.

    Results

    First trimester proteinuria, previous history of Down syndrome, consanguinity, nuchal translucency (NT) and inhibin-A were the most significant factors identified to be associated with the risk of Down syndrome.

    Conclusion

    Incorporating those critical factors into new screening software could be valuable in advance of cffDNA testing as a perfect accurate non-invasive prenatal screening.

    Keywords: Data Mining, Down syndrome, Prenatal screening, Risk factor
  • Farzaneh Montazerifar*, Marzieh Ghasemi, Nafiseh Arabpour, Mansour Karajibani, Narjes Keikhah Pages 9-15
    Background

    Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of fertility age. The aim of this study was to compare the prevalence of metabolic syndrome (MetS) in women with and without PCOS, who referred to infertility clinic.

    Methods

    In this case control study, 120 women with PCOS and 120 healthy controls, who had referred to infertility clinic, were selected for the purpose of this study. Polycystic ovarian disease was diagnosed according to the Rotterdam (2003) criteria, and the prevalence of MetS was assessed according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria for both groups.

    Results

    Women with PCOS had markedly higher prevalence of the MetS than healthy controls (29.2% and 7.5%, respectively; P<0.0001). Among risk factors of MetS, the most prevalent components were low level of HDL cholesterol (97.5%), central obesity (86.7%), and high triglyceride (77.5%). The prevalence of MetS increased with age and BMI (P<0.0001).

    Conclusion

    The results suggest that the MetS was more frequent in PCOs infertile women, especially in upper age groups. Thus, the screening of these patients is suggested for preventive strategies in high risk individuals.

    Keywords: Infertility, Metabolic syndrome, Polycystic ovary syndrome, Prevalence