Laboratory Medicine ›› 2024, Vol. 39 ›› Issue (3): 215-221.DOI: 10.3969/j.issn.1673-8640.2024.03.002

Previous Articles     Next Articles

Predictive value of glucose variability parameters before delivery for macrosomia in patients with gestational diabetes mellitus

LIU Mengzhu1, GU Jinyun1, ZHU Xia2, CHEN Xia1()   

  1. 1. Department of Gynecology and Obstetrics,Lianyungang Dongfang Hospital,Lianyungang 222000,Jiangsu,China
    2. Central Laboratory,Lianyungang Dongfang Hospital,Lianyungang 222000,Jiangsu,China
  • Received:2022-07-04 Revised:2023-07-27 Online:2024-03-30 Published:2024-04-24

Abstract:

Objective To investigate the correlation between blood glucose variability parameters before delivery and birth weight of newborns in gestational diabetes mellitus(GDM)patients. Methods A total of 100 GDM patients from Lianyungang Dongfang Hospital from March 2019 to February 2021 were enrolled,and 261 pregnant women with normal indicators were enrolled as controls. According to whether the newborns were macrosomia(weight≥4 000 g),they were classified into GDM macrosomia group,GDM healthy newborn group,macrosomia control group and healthy control group. The general data and laboratory determination results [blood lipid,blood glucose,glycated hemoglobin A1c(HbA1c)and so on] were collected,and blood glucose variability parameters [mean amplitude of glycemic excursions(MAGE),mean of daily differences(MODD),postprandial glucose excursion(PPGE)] were determined. Logistic regression analysis was used to evaluate the risk factors of macrosomia in GDM patients. The prediction model of nomogram was constructed and evaluated. Pearson correlation analysis was used to evaluate the correlation between neonatal weight and maternal blood glucose variability. The threshold effects of MAGE,MODD and PPGE were determined by curve fitting and threshold effect analysis. Results The blood glucose level at 30 min after birth in GDM macrosomia group was lower than that in macrosomia control group(P<0.05). Fasting blood glucose(FBG),2 h postprandial blood glucose (2 h PG),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),HbA1c,MAGE,PPGE,MODD and apolipoprotein B(apo B)in GDM macrosomia group were higher than those in the other 3 groups(P<0.05). High-density lipoprotein cholesterol(HDL-C)and apolipoprotein A(apo A)were lower than those in the other 3 groups(P<0.05). MAGE,PPGE,MODD and HbA1c were all risk factors for macrosomia of GDM patients [odds ratios(OR)were 1.116,1.169,1.072 and 1.061,95% confidence intervals(CI)were 1.021-1.246,1.051 -1.301,1.012-1.134,1.004-1.121,respectively,P<0.05]. Neonatal weight was positively correlated with MAGE,PPGE,MODD and HbA1cr=0.77,0.68,0.72 and 0.75,P<0.05). The results of curve fitting and threshold effect analysis show that when MAGE,PPGE and MODD were higher than 2.75,2.06 and 3.27 mmol·L-1, respectively,the incidence of macrosomia in GDM patients showed an increasing trend with the increase of the 3 indicators. The area under receiver operating characteristic(ROC)curve (AUC)and consistency index(C-index)of the nomogram prediction model were 0.887 and 0.887,respectively,and the calibration curve fitted the ideal curve well. Conclusions Blood glucose variability parameters can be used as predictors of macrosomia in GDM patients,which have high clinical application value.

Key words: Blood glucose variability parameter, Gestational diabetes mellitus, Macrosomia

CLC Number: