Diagnostic Accuracy of Body Mass Index and Fasting Glucose for The Prediction of Gestational Diabetes Mellitus after Assisted Reproductive Technology

Journal Title: International Journal of Fertility & Sterility - Year 2019, Vol 13, Issue 1

Abstract

Background: The aim of the present study was to determine the maternal pre-pregnancy body mass index (BMI), first-trimester fasting blood sugar (FBS), and the combination of (BMI+FBS) cut-points for at-risk pregnant women conceived by assisted reproductive technology (ART) to better predict the risk of developing gestational diabetes mellitus (GDM) in infertile women. Materials and Methods: In this nested case-control study, 270 singleton pregnant women consisted of 135 (GDM) and 135 (non-GDM) who conceived using ART were assessed. The diagnosis of GDM was confirmed by a one-step glucose tolerance test (O-GTT) using 75 g oral glucose. BMI was classified base on World Health Organization (WHO) criteria. The relationship between BMI, FBS, and BMI+FBS with the risk of GDM development was determined by logistic regression and adjusted for confounding factors. Receiver operating characteristic (ROC) curve analysis was performed to assess the value of BMI, FBS, and BMI+FBS for the prediction of GDM. Results: The GDM group had significantly higher age, BMI, family history of diabetes, and history of polycystic ovary syndrome in comparison with the non-GDM group (P<0.05). Overweight and obese women had 3.27, and 5.14 folds increase in the odds of developing GDM, respectively. There was a 17% increase in the risk of developing GDM with each 1 mg/dl increase in fasting glucose level. The cut points for FBS 84.5 mg/dl (72.9% sensitivity, 74.4% specificity), BMI 25.4 kg/m2 (68.9% sensitivity, 62.8% specificity), and BMI+FBS 111.2 (70.7% sensitivity, 80.6% specificity) was determined. Conclusion: The early screening and high-quality prenatal care should be recommended upon the co-occurrence of high FBS (≥84.5 mg/dl) in the first-trimester of the pregnancy and the BMI (≥25.4 kg/m2) in pre-pregnancy period in women undergone ART. The combination of BMI and FBS is considered a better prediction value.

Authors and Affiliations

Azam Kouhkan, Mohammad E. Khamseh, Ashraf Moini, Reihaneh Pirjani, Arezoo Arabipoor, Zahra Zolfaghari, Roya Hosseini, Hamid Reza Baradaran

Keywords

Related Articles

The Lineage of Children Born by Sperm Donation: A Shiite Perspective

Background Despite the meager role of the masculine agent in infertility (the low number of infertile men than women infertile), there are men whose wives are unable to become pregnant due to the absence of sperm, decrea...

Congenital Malformations in Singleton Infants Conceived by Assisted Reproductive Technologies and Singleton Infants by Natural Conception in Tehran, Iran

Background: Multiple pregnancies occur more frequently in assisted reproductive technology (ART) compared to normal conception (NC). It is known that the risk of congenital malformations in a multiple pregnancy are highe...

A Comparison of Postpartum Depression in Mothers Conceived by Assisted Reproductive Technology and Those Naturally Conceived

Background: It is thought that mothers who conceive via assisted reproductive technology (ART) may be at greater risk of postpartum depression (PPD) because of the problems and psychological stresses associated with ART...

Effect of Human Umbilical Cord Mesenchymal Stem Cells Transplantation on Nerve Fibers of A Rat Model of Endometriosis

Background Endometriosis is a common, benign, oestrogen-dependent, chronic gynaecological disorder associated with pelvic pain and infertility. Some researchers have identified nerve fibers in endometriotic lesions in wome...

Hypothalamic KiSS1/GPR54 Gene Expressions and Luteinizing Hormone Plasma Secretion in Morphine Treated Male Rats

Background: The inhibitory effects of morphine and the stimulatory influence of kisspeptin signaling have been demonstrated on gonadotropin releasing hormone (GnRH)/luteinizing hormone (LH) release. Hypothalamic kisspept...

Download PDF file
  • EP ID EP469188
  • DOI 10.22074/ijfs.2019.5505
  • Views 189
  • Downloads 0

How To Cite

Azam Kouhkan, Mohammad E. Khamseh, Ashraf Moini, Reihaneh Pirjani, Arezoo Arabipoor, Zahra Zolfaghari, Roya Hosseini, Hamid Reza Baradaran (2019). Diagnostic Accuracy of Body Mass Index and Fasting Glucose for The Prediction of Gestational Diabetes Mellitus after Assisted Reproductive Technology. International Journal of Fertility & Sterility, 13(1), 32-37. https://europub.co.uk/articles/-A-469188