Value of ratio of hemoglobin to body mass index combined with fasting blood glucose in diagnosis of gestational diabetes mellitus in early pregnancy
Objective:To investigate the value of the ratio of hemoglobin to body mass index and fasting blood glucose in the prediction of gestational diabetes mellitus(GDM)in the first trimester,and build a GDM risk pre-diction model for pregnant women in the first trimester.Methods:From April 2021 to April 2023,1 113 single pregnant women who were given birth in the obstetric department of our hospital were selected as the study ob-jects.General clinical data and the results of hemoglobin and fasting blood glucose in early pregnancy were collect-ed.OGTT test results were divided into GDM group and control group.Clinical metabolic characteristics of the two groups were compared,and binary logistic regression was used to analyze the screening indicators and estab-lish the prediction model.Receiver operating characteristic(ROC)curve was used to analyze the performance of each index and the diagnostic model to predict the GDM model.Results:In the GDM group,the weight,fasting blood glucose,hemoglobin,blood pressure,postpartum rate,proportion of old women and high BMI in early pregnancy were higher than those in the normal blood glucose group,while the Hb/BMI ratio was lower than that in the normal group,with statistical significance(P<0.001).ROC curve analysis results showed that single index fasting blood glucose and combined index(Hb/BMI+blood glucose)had higher value in differential diagnosis of GDM(area under the curve[AUC]was 0.720,0.737,sensitivity was 55.1%and 67.7%,specificity was 21.6%and 29.3%).The predictive model had an AUC of 0.769,the optimal critical value was 0.31,the sensitivity was 68.6%,and the specificity was 73.6%.Conclusion:The ratio of hemoglobin to body mass index and fasting blood glucose level in early pregnancy may have a certain relationship with the occurrence of GDM,and the combination can predict the occurrence of GDM.
Hb/BMI ratiogestational diabetes mellitusfasting blood glucoseROC curveprediction model