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.