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Title

DIAGNOSTIC ACCURACY OF BODY MASS INDEX AND FASTINGGLUCOSE FOR THE PREDICTION OF GESTATIONAL DIABETES MELLITUSAFTER ASSISTED REPRODUCTIVE TECHNOLOGY

Pages

  32-37

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 womenconceived 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-stepglucose 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 determinedby logistic regression and adjusted for confounding factors. Receiver operating characteristic (ROC) curveanalysis 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 syndromein comparison with the non-GDM group (P<0. 05). Overweight and obese women had 3. 27, and 5. 14 folds increasein the odds of developing GDM, respectively. There was a 17% increase in the risk of developing GDM with each 1 mg/dlincrease 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 ofhigh FBS (≥ 84. 5 mg/dl) in the first-trimester of the pregnancy and the BMI (≥ 25. 4 kg/m2) in pre-pregnancy period inwomen undergone ART. The combination of BMI and FBS is considered a better prediction value.

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    APA: Copy

    KOUHKAN, AZAM, KHAMSEH, MOHAMMAD E., MOINI, ASHRAF, PIRJANI, REIHANEH, ARABIPOOR, AREZOO, ZOLFAGHARI, ZAHRA, HOSSEINI, ROYA, & BARADARAN, HAMID REZA. (2019). DIAGNOSTIC ACCURACY OF BODY MASS INDEX AND FASTINGGLUCOSE FOR THE PREDICTION OF GESTATIONAL DIABETES MELLITUSAFTER ASSISTED REPRODUCTIVE TECHNOLOGY. INTERNATIONAL JOURNAL OF FERTILITY AND STERILITY, 13(1), 32-37. SID. https://sid.ir/paper/306032/en

    Vancouver: Copy

    KOUHKAN AZAM, KHAMSEH MOHAMMAD E., MOINI ASHRAF, PIRJANI REIHANEH, ARABIPOOR AREZOO, ZOLFAGHARI ZAHRA, HOSSEINI ROYA, BARADARAN HAMID REZA. DIAGNOSTIC ACCURACY OF BODY MASS INDEX AND FASTINGGLUCOSE FOR THE PREDICTION OF GESTATIONAL DIABETES MELLITUSAFTER ASSISTED REPRODUCTIVE TECHNOLOGY. INTERNATIONAL JOURNAL OF FERTILITY AND STERILITY[Internet]. 2019;13(1):32-37. Available from: https://sid.ir/paper/306032/en

    IEEE: Copy

    AZAM KOUHKAN, MOHAMMAD E. KHAMSEH, ASHRAF MOINI, REIHANEH PIRJANI, AREZOO ARABIPOOR, ZAHRA ZOLFAGHARI, ROYA HOSSEINI, and HAMID REZA BARADARAN, “DIAGNOSTIC ACCURACY OF BODY MASS INDEX AND FASTINGGLUCOSE FOR THE PREDICTION OF GESTATIONAL DIABETES MELLITUSAFTER ASSISTED REPRODUCTIVE TECHNOLOGY,” INTERNATIONAL JOURNAL OF FERTILITY AND STERILITY, vol. 13, no. 1, pp. 32–37, 2019, [Online]. Available: https://sid.ir/paper/306032/en

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