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International Journal of Fertility and Sterility، جلد ۱۳، شماره ۱، صفحات ۳۲-۳۷
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عنوان انگلیسی Diagnostic Accuracy of Body Mass Index and Fasting Glucose for The Prediction of Gestational Diabetes Mellitus after Assisted Reproductive Technology
چکیده انگلیسی مقاله Objective: Background: To determine maternal pre-pregnancy body mass index (BMI), first trimester fasting blood sugar (FBS) and the combination (BMI+FBS) cut-points for at risk pregnant women conceived by assisted reproduction technology (ART) to better prediction of infertile women’s risk of developing gestational diabetes mellitus (GDM). Materials and methods: In this nested case-control study, 270 singleton pregnant women consisted of 135 (GDM) and 135 (non-GDM) who conceived undergoing ART were assessed. 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. Relationship between BMI, FBS and BMI+FBS with the risk of GDM development was determined by logistic regression and adjusted for confounding factors. ROC curve analysis was performed to assess the value of BMI, FBS and BMI+FBS as prediction of GDM. P< 0.05 was considered significant. Results: GDM group had significantly higher age, BMI, family history of diabetes and history of polycystic ovary syndrome in comparison with non-GDM group (P< 0.05). Overweight and obese women had 3.27 and 5.14 times increase in the odds of developing GDM, respectively. There was 17% increase in the risk of developing GDM, with each 1 mg/dl increase in fasting glucose level. FBS cut point 84.5 mg/dl (72.9% sensitivity, 74.4% specificity), BMI cut point 25.4 kg/m2 (68.9% sensitivity, 62.8% specificity) and BMI+FBS cut point 111.2 (70.7% sensitivity, 80.6 %specificity) were determined. Conclusion: Early screening and high- quality prenatal care should be recommended when co-occurrence of high first trimester FBS (≥84.5 mg/dl) and pre-pregnancy BMI (≥25.4 kg/m2) was detected in pregnant women via ART. The combination of BMI and FBS is a better prediction value.
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نویسندگان مقاله | Azam kouhkan


| Mohammad Ebrahim Khamseh


| Ashraf Moini


| Reihaneh Pirjani


| Arezoo Arabipoor


| Zahra Zolfaghari


| Roya Hosseini


| Hamid Reza Baradaran


نشانی اینترنتی http://ijfs.ir/journal/article/abstract/5505
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/72/article-72-1173121.pdf
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