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Endocrine, Metabolic & Immune Disorders - Drug Targets

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ISSN (Print): 1871-5303
ISSN (Online): 2212-3873

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Research Article

Accuracy of Fasting Blood Glucose and Body Mass Index in Predicting Gestational Diabetes Mellitus in China

Author(s): Jing-Ru Jiao, Ya-Na Gao, Ling-Chao Wang, Jing Wang*, Wei-Jing Jia, Hui-Ling Xue, Rui Li, Hong-Li Wu and Mei-Mei Wang

Volume 24, Issue 8, 2024

Published on: 30 October, 2023

Page: [967 - 972] Pages: 6

DOI: 10.2174/0118715303247457231018080709

Price: $65

Abstract

Background: Research suggests that lowering maternal morbidities associated with gestational diabetes mellitus (GDM) can be achieved with earlier risk group identification.

Aims: Therefore, the purpose of this study was to examine potential markers for identifying first-trimester pregnant women who are at high risk for developing GDM.

Methods: This was a retrospective cohort study. The pertinent maternal clinical data were retrieved prior to 13+6 weeks of gestation, and a binary logistic regression analysis was used to identify potential GDM predictors. The predictive accuracy was evaluated using the area below the receiver operating characteristics curves.

Results: In comparison to the control group, the GDM group had significantly higher mean values for age, body mass index (BMI), mean fasting blood glucose (FBG), and hemoglobin (p < 0.05). The Pearson’s correlation coefficients indicated that the first-trimester FBG was significantly positively correlated with the second-trimester FBG. Higher FBG and BMI values were associated with an increased risk of developing GDM (odds ratio (OR) = 3.04, 95% confidence interval [CI] = 2.03-4.55 and OR = 1.18, 95% CI = 1.12–1.25). In terms of predicting GDM, the FBG parameter demonstrated the greatest area under the curve values (0.66), followed by the BMI parameter (0.69). For GDM prediction, the cut-off value for FBG was 4.32 mM, whereas that for BMI was 23.7 kg/m2.

Conclusion: The first-trimester FBG and BMI could be utilized to predict gestational diabetes.

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[1]
Chiefari, E.; Arcidiacono, B.; Foti, D.; Brunetti, A. Gestational diabetes mellitus: An updated overview. J. Endocrinol. Invest., 2017, 40(9), 899-909.
[http://dx.doi.org/10.1007/s40618-016-0607-5] [PMID: 28283913]
[2]
Ye, W.; Luo, C.; Huang, J.; Li, C.; Liu, Z.; Liu, F. Gestational diabetes mellitus and adverse pregnancy outcomes: Systematic review and meta-analysis. BMJ, 2022, 377, e067946.
[http://dx.doi.org/10.1136/bmj-2021-067946] [PMID: 35613728]
[3]
Sweeting, A.; Wong, J.; Murphy, H.R.; Ross, G.P. A Clinical Update on Gestational Diabetes Mellitus. Endocr. Rev., 2022, 43(5), 763-793.
[http://dx.doi.org/10.1210/endrev/bnac003] [PMID: 35041752]
[4]
Gorban de Lapertosa, S.; Alvariñas, J.; Elgart, J.F.; Salzberg, S.; Gagliardino, J.J. The triad macrosomia, obesity, and hypertriglyceridemia in gestational diabetes. Diabetes Metab. Res. Rev., 2020, 36(5), e3302.
[http://dx.doi.org/10.1002/dmrr.3302] [PMID: 32068345]
[5]
Joyce, B.T.; Liu, H.; Wang, L.; Wang, J.; Zheng, Y.; Nannini, D.; Drong, A.; Shiau, S.; Li, W.; Leng, J.; Shen, Y.; Gao, R.; Baccarelli, A.; Hu, G.; Hou, L. Novel epigenetic link between gestational diabetes mellitus and macrosomia. Epigenomics, 2021, 13(15), 1221-1230.
[http://dx.doi.org/10.2217/epi-2021-0096] [PMID: 34337972]
[6]
Mistry, S.K.; Das Gupta, R.; Alam, S.; Kaur, K.; Shamim, A.A.; Puthussery, S. Gestational diabetes mellitus (GDM) and adverse pregnancy outcome in South Asia: A systematic review. Endocrinol. Diabetes Metab., 2021, 4(4), e00285.
[http://dx.doi.org/10.1002/edm2.285] [PMID: 34505412]
[7]
Reitzle, L; Heidemann, C; Baumert, J Pregnancy Complications in Women With Pregestational and Gestational Diabetes Mellitus. Dtsch Arztebl Int., 2023, 120(6), 81-86.
[http://dx.doi.org/10.3238/arztebl.m2022.0387]
[8]
Mao, Z.; Wu, R.; Yu, H.; Zhang, Y.; Dong, W.; Zou, L.; Lei, X. Associations of maternal fructosamine before delivery in gestational diabetes mellitus pregnancies with neonatal glucometabolic disorders. J. Diabetes Res., 2022, 2022, 1-6.
[http://dx.doi.org/10.1155/2022/2478250] [PMID: 36440470]
[9]
Guillemette, L.; Wicklow, B.; Sellers, E.A.C.; Dart, A.; Shen, G.X.; Dolinsky, V.W.; Gordon, J.W.; Jassal, D.S.; Nickel, N.; Duhamel, T.A.; Chateau, D.; Prior, H.J.; McGavock, J. Intrauterine exposure to diabetes and risk of cardiovascular disease in adolescence and early adulthood: A population-based birth cohort study. CMAJ, 2020, 192(39), E1104-E1113.
[http://dx.doi.org/10.1503/cmaj.190797] [PMID: 32989023]
[10]
American Diabetes Association. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care, 2021, 44(Suppl. 1), S15-S33.
[http://dx.doi.org/10.2337/dc21-S002] [PMID: 33298413]
[11]
Tsakiridis, I.; Giouleka, S.; Mamopoulos, A.; Kourtis, A.; Athanasiadis, A.; Filopoulou, D.; Dagklis, T. Diagnosis and management of gestational diabetes mellitus: An overview of national and international guidelines. Obstet. Gynecol. Surv., 2021, 76(6), 367-381.
[http://dx.doi.org/10.1097/OGX.0000000000000899] [PMID: 34192341]
[12]
Sotiriadis, A.; Chatzakis, C.; Cavoretto, P. Gestational diabetes mellitus pharmacological prevention and treatment. Curr. Pharm. Des., 2021, 27(36), 3833-3840.
[http://dx.doi.org/10.2174/1381612827666210125155428] [PMID: 33550962]
[13]
American Diabetes Association. Management of Diabetes in Pregnancy: Standards of Medical Care in Diabetes—2021. Diabetes Care, 2021, 44(Suppl. 1), S200-S210.
[http://dx.doi.org/10.2337/dc21-S014] [PMID: 33298425]
[14]
Yew, T.W.; Chi, C.; Chan, S.Y.; van Dam, R.M.; Whitton, C.; Lim, C.S.; Foong, P.S.; Fransisca, W.; Teoh, C.L.; Chen, J.; Ho-Lim, S.T.; Lim, S.L.; Ong, K.W.; Ong, P.H.; Tai, B.C.; Tai, E.S. A Randomized Controlled Trial to Evaluate the Effects of a Smartphone Application–Based Lifestyle Coaching Program on Gestational Weight Gain, Glycemic Control, and Maternal and Neonatal Outcomes in Women With Gestational Diabetes Mellitus: The SMART-GDM Study. Diabetes Care, 2021, 44(2), 456-463.
[http://dx.doi.org/10.2337/dc20-1216] [PMID: 33184151]
[15]
Karavasileiadou, S.; Almegewly, W.; Alanazi, A.; Alyami, H.; Chatzimichailidou, S. Self-management and self-efficacy of women with gestational diabetes mellitus: A systematic review. Glob. Health Action, 2022, 15(1), 2087298.
[http://dx.doi.org/10.1080/16549716.2022.2087298] [PMID: 35867537]
[16]
Lei, A.; You, H.; Hu, J.; Liu, Y.; Luo, B. Risk of type 2 diabetes mellitus after gestational diabetes mellitus: A systematic review & meta-analysis. Indian J. Med. Res., 2021, 154(1), 62-77.
[http://dx.doi.org/10.4103/ijmr.IJMR_852_18] [PMID: 34782531]
[17]
Marshall, N.E.; Abrams, B.; Barbour, L.A.; Catalano, P.; Christian, P.; Friedman, J.E.; Hay, W.W., Jr; Hernandez, T.L.; Krebs, N.F.; Oken, E.; Purnell, J.Q.; Roberts, J.M.; Soltani, H.; Wallace, J.; Thornburg, K.L. The importance of nutrition in pregnancy and lactation: Lifelong consequences. Am. J. Obstet. Gynecol., 2022, 226(5), 607-632.
[http://dx.doi.org/10.1016/j.ajog.2021.12.035] [PMID: 34968458]
[18]
Oskovi-Kaplan, Z.A.; Ozgu-Erdinc, A.S. Management of Gestational Diabetes Mellitus. Adv. Exp. Med. Biol., 2020, 1307, 257-272.
[http://dx.doi.org/10.1007/5584_2020_552] [PMID: 32548833]
[19]
Koivusalo, S.B.; Rönö, K.; Klemetti, M.M.; Roine, R.P.; Lindström, J.; Erkkola, M.; Kaaja, R.J.; Pöyhönen-Alho, M.; Tiitinen, A.; Huvinen, E.; Andersson, S.; Laivuori, H.; Valkama, A.; Meinilä, J.; Kautiainen, H.; Eriksson, J.G.; Stach-Lempinen, B. Gestational diabetes mellitus can be prevented by lifestyle intervention: The finnish gestational diabetes prevention study (RADIEL). Diabetes Care, 2016, 39(1), 24-30.
[http://dx.doi.org/10.2337/dc15-0511] [PMID: 26223239]
[20]
Huang, S.; Magny-Normilus, C.; McMahon, E.; Whittemore, R. Systematic review of lifestyle interventions for gestational diabetes mellitus in pregnancy and the postpartum period. J Obstet Gynecol Neonatal Nurs., 2022, 51(2), 115-125.
[http://dx.doi.org/10.1016/j.jogn.2021.10.007 ] [PMID: 34468745]
[21]
Lindsay, KL; Gyllenhammer, LE; Entringer, S; Wadhwa, PD Rate of gestational weight gain and glucose-insulin metabolism among hispanic pregnant women with overweight and obesity. J Clin Endocrinol. Metab., 2022, 107(2), e734-e744.
[http://dx.doi.org/10.1210/clinem/dgab655 ] [PMID: 34468745]
[22]
Tong, J.N.; Chen, Y.X.; Guan, X.N.; Liu, K.; Yin, A.Q.; Zhang, H.F.; Wu, L.L.; Niu, J.M. Association between the cut-off value of the first trimester fasting plasma glucose level and gestational diabetes mellitus: A retrospective study from southern China. BMC Pregnancy Childbirth, 2022, 22(1), 540.
[http://dx.doi.org/10.1186/s12884-022-04874-x] [PMID: 35787265]
[23]
Mulita, F.; Lampropoulos, C.; Kehagias, D.; Verras, G.I.; Tchabashvili, L.; Kaplanis, C.; Liolis, E.; Iliopoulos, F.; Perdikaris, I.; Kehagias, I. Long-term nutritional deficiencies following sleeve gastrectomy: A 6-year single-centre retrospective study. Przegl. Menopauz., 2021, 20(4), 170-176.
[http://dx.doi.org/10.5114/pm.2021.110954] [PMID: 35069068]

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