Title of article :
Diagnostic Accuracy of Body Mass Index and Fasting Glucose for The Prediction of Gestational Diabetes Mellitus after Assisted Reproductive Technology
Author/Authors :
Kouhkan, Azam Endocrine Research Center-Institute of Endocrinology and Metabolism - Iran University of Medical Sciences (IUMS), Tehran , Khamseh, Mohammad E. Endocrine Research Center-Institute of Endocrinology and Metabolism - Iran University of Medical Sciences (IUMS), Tehran , Moini, Ashraf Department of Endocrinology and Female Infertility- Reproductive Biomedicine Research Center- Royan Institute for Reproductive Biomedicine - ACECR, Tehran , Reihaneh Pirjani Department of Gynecology and Obstetrics- Arash Women’s Hospital- Tehran University of Medical Sciences , Arabipoor, Arezoo Department of Endocrinology and Female Infertility- Reproductive Biomedicine Research Center- Royan Institute for Reproductive Biomedicine - ACECR, Tehran , Zolfaghari, Zahra Department of Epidemiology and Reproductive Health- Reproductive Epidemiology Research Center- Royan Institute for Reproductive Biomedicine - ACECR, Tehran , Hosseini, Roya Department of Endocrinology and Female Infertility- Reproductive Biomedicine Research Center- Royan Institute for Reproductive Biomedicine - ACECR, Tehran , Baradaran, Hamid Reza Endocrine Research Center-Institute of Endocrinology and Metabolism - Iran University of Medical Sciences (IUMS), Tehran
Abstract :
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.
Keywords :
Gestational Diabetes Mellitus , Assisted Reproductive Technology , Body Mass Index
Journal title :
Astroparticle Physics
