ZHU Qian, SONG Yan, CHEN Jun. Predictive model of gestational diabetes mellitus based on glycated hemoglobin, glycated albumin and fasting blood glucose[J]. Journal of Clinical Medicine in Practice, 2022, 26(9): 29-34. DOI: 10.7619/jcmp.20215123
Citation: ZHU Qian, SONG Yan, CHEN Jun. Predictive model of gestational diabetes mellitus based on glycated hemoglobin, glycated albumin and fasting blood glucose[J]. Journal of Clinical Medicine in Practice, 2022, 26(9): 29-34. DOI: 10.7619/jcmp.20215123

Predictive model of gestational diabetes mellitus based on glycated hemoglobin, glycated albumin and fasting blood glucose

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  • Received Date: December 25, 2021
  • Available Online: May 09, 2022
  • Published Date: May 14, 2022
  •   Objective  To observe the effect of predictive model of gestational diabetes mellitus (GDM) based on glycated hemoglobin (HbA1c), glycated albumin (GA) and fasting blood glucose (FBG).
      Methods  A total of 3 132 pregnant women who underwent prenatal testing and delivery were selected, and divided into GDM group (n=2 070) and non-GDM group (n=1 062, normal blood glucose). The levels of HbA1c, GA and FBG in the two groups were analyzed in the early and last pregnancy. The GDM prediction model was established by logistic regressive analysis. Receiver operating characteristic (ROC) curve was used to calculate area under the curve (AUC) to evaluate the effect of the model.
      Results  The levels of GA and FBG in the GDM group in the early pregnancy were significantly higher than those in the non-GDM group (P<0.05); there was no significant difference in HbA1c between the two groups (P>0.05). The levels of HbA1c, GA and FBG in the GDM group in the late pregnancy were significantly higher than those in the non-GDM group (P<0.05). The predictive model showed that the GA and FBG in the early pregnancy were the influencing factors for GDM, while the HbA1c, GA and FBG were all influencing factors for GDM in the late pregnancy. The AUC of GA in early pregnancy was higher than that of HbA1c, while it was opposite in late pregnancy. The AUC of combined prediction was higher than that of single indicator detection.
      Conclusion  GDM prediction model has a good effect. The predictive effects of HbA1c, GA and FBG on GDM are different in the early and late stages of pregnancy, these indicators should be used in combination according to different stages of pregnancy in order to provide reference for the diagnosis and treatment of clinical GDM.
  • [1]
    KWON S S, KWON J Y, PARK Y W, et al. HbA1c for diagnosis and prognosis of gestational diabetes mellitus[J]. Diabetes Res Clin Pract, 2015, 110(1): 38-43. doi: 10.1016/j.diabres.2015.07.014
    [2]
    HOSSEINI E, JANGHORBANI M, SHAHSHAHAN Z. Comparison of risk factors and pregnancy outcomes of gestational diabetes mellitus diagnosed during early and late pregnancy[J]. Midwifery, 2018, 66: 64-69. doi: 10.1016/j.midw.2018.07.017
    [3]
    ZHU W W, YANG H X, WEI Y M, et al. Comparing the diagnostic criteria for gestational diabetes mellitus of World Health Organization 2013 with 1999 in Chinese population[J]. Chin Med J (Engl), 2015, 128(1): 125-127. doi: 10.4103/0366-6999.147858
    [4]
    楼公先, 楼时先, 程秒鸳, 等. 孕早期FBG、HbA1c、TC、TG联合检测在妊娠期糖尿病诊断中的应用价值分析[J]. 中华全科医学, 2019, 17(5): 809-812. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201905029.htm
    [5]
    UNNIKRISHNAN R, MOHAN V. Challenges in estimation of glycated hemoglobin in India[J]. Diabetes Technol Ther, 2013, 15(10): 897-899. doi: 10.1089/dia.2013.0144
    [6]
    METZGER B E, GABBE S G, PERSSON B, et al. International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy[J]. Diabetes Care, 2010, 33(7): e98. doi: 10.2337/dc10-0719
    [7]
    MUCHE A A, OLAYEMI O O, GETE Y K. Gestational diabetes mellitus increased the risk of adverse neonatal outcomes: a prospective cohort study in Northwest Ethiopia[J]. Midwifery, 2020, 87: 102713. doi: 10.1016/j.midw.2020.102713
    [8]
    侯益轩, 吴丽萍, 刘燕萍. 糖化白蛋白在妊娠期糖尿病监测中的研究进展[J]. 协和医学杂志, 2019, 10(6): 660-665. doi: 10.3969/j.issn.1674-9081.2019.06.019
    [9]
    朱晓琴, 岳虹霓. 糖化血红蛋白水平与妊娠期糖尿病患者并发症及妊娠结局的相关性研究[J]. 中国妇幼保健, 2017, 32(14): 3173-3175. https://www.cnki.com.cn/Article/CJFDTOTAL-ZFYB201714028.htm
    [10]
    金玥雯, 岳朝艳, 应春妹. 糖化血红蛋白及糖化白蛋白在高龄孕妇妊娠期糖尿病中的应用价值[J]. 检验医学, 2018, 33(4): 312-315. https://www.cnki.com.cn/Article/CJFDTOTAL-SHYY201804011.htm
    [11]
    LIU X Y, WU N, AL-MUREISH A. A review on research progress in the application of glycosylated hemoglobin and glycated albumin in the screening and monitoring of gestational diabetes[J]. Int J Gen Med, 2021, 14: 1155-1165. doi: 10.2147/IJGM.S296316
    [12]
    蔡慧华, 何援利, 王雪峰, 等. 糖化血红蛋白联合空腹血糖检测在妊娠期糖尿病筛查中的应用价值[J]. 实用妇产科杂志, 2014, 30(3): 205-208. https://www.cnki.com.cn/Article/CJFDTOTAL-SFCZ201403019.htm
    [13]
    王亚虹, 胡德宇, 朱晨琛, 等. 妊娠期糖尿病孕妇糖化血红蛋白和糖化血清蛋白与新生儿出生体质量的关系研究[J]. 检验医学与临床, 2019, 16(12): 1672-1674. doi: 10.3969/j.issn.1672-9455.2019.12.013
    [14]
    王冰, 王玉明, 段勇. 糖化血清白蛋白分子特性及临床意义[J]. 实验与检验医学, 2015, 33(6): 693-696. doi: 10.3969/j.issn.1674-1129.2015.06.001
    [15]
    ZENG Y P, HE H, ZHOU J, et al. The association and discordance between glycated hemoglobin A1c and glycated albumin, assessed using a blend of multiple linear regression and random forest regression[J]. Clin Chim Acta, 2020, 506: 44-49. doi: 10.1016/j.cca.2020.03.019
    [16]
    沈磊芬, 施卫琴, 蔡丽文. 孕早期FBG、HbA1c及孕前BMI对妊娠期糖尿病的联合诊断价值[J]. 中国妇幼健康研究, 2021, 32(2): 205-208. doi: 10.3969/j.issn.1673-5293.2021.02.007
    [17]
    朱丹婴, 姜缨. 妊娠早期糖脂代谢指标检测预测妊娠期糖尿病发病及母婴结局的价值[J]. 中国妇幼保健, 2018, 33(2): 310-312. https://www.cnki.com.cn/Article/CJFDTOTAL-ZFYB201802023.htm
    [18]
    张淳义, 倪颖华, 季鑫, 等. 妊娠期糖尿病患者糖化血红蛋白和糖化白蛋白水平与新生儿体重的相关性[J]. 检验医学, 2017, 32(3): 165-168. https://www.cnki.com.cn/Article/CJFDTOTAL-SHYY201703003.htm
    [19]
    PAN J M, ZHANG F, ZHANG L, et al. Influence of insulin sensitivity and secretion on glycated albumin and hemoglobin A1c in pregnant women with gestational diabetes mellitus[J]. Int J Gynecol Obstet, 2013, 121(3): 252-256. doi: 10.1016/j.ijgo.2013.01.017
    [20]
    HIRAMATSU Y, SHIMIZU I, OMORI Y, et al. Determination of reference intervals of glycated albumin and hemoglobin A1c in healthy pregnant Japanese women and analysis of their time courses and influencing factors during pregnancy[J]. Endocr J, 2012, 59(2): 145-151. doi: 10.1507/endocrj.K10E-410
    [21]
    NGIAM K Y, LEE W J, LEE Y C, et al. Efficacy of metabolic surgery on HbA1c decrease in type 2 diabetes mellitus patients with BMI[J]. Obes Surg, 2014, 24(1): 148-158. doi: 10.1007/s11695-013-1112-y
    [22]
    BOE B, BARBOUR L A, ALLSHOUSE A A, et al. Universal early pregnancy glycosylated hemoglobin A1c as an adjunct to Carpenter-Coustan screening: an observational cohort study[J]. Am J Obstet Gynecol MFM, 2019, 1(1): 24-32. doi: 10.1016/j.ajogmf.2019.02.003
    [23]
    魏鸿, 贺丹, 许航. 年龄、孕前体重指数、孕早期空腹血糖和糖化血红蛋白在妊娠期糖尿病预测中的价值[J]. 实用医院临床杂志, 2021, 18(6): 110-114. doi: 10.3969/j.issn.1672-6170.2021.06.031
    [24]
    HIPPISLEY-COX J, COUPLAND C. Development and validation of risk prediction equations to estimate future risk of heart failure in patients with diabetes: a prospective cohort study[J]. BMJ Open, 2015, 5(9): e008503. doi: 10.1136/bmjopen-2015-008503
    [25]
    胡晓琪, 翟巾帼, 李静, 等. 基于多维度指标的妊娠期糖尿病风险预测模型的构建与验证[J]. 实用医学杂志, 2021, 37(9): 1141-1144, 1149. doi: 10.3969/j.issn.1006-5725.2021.09.009
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