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ORIGINAL RESEARCH

Study on the Relationship and Predictive Value of First-Trimester Pregnancy-Associated Plasma Protein-A, Maternal Factors, and Biochemical Parameters in Gestational Diabetes Mellitus: A Large Case-Control Study in Southern China Mothers

ORCID Icon, , , , , & show all
Pages 947-957 | Received 21 Nov 2022, Accepted 23 Mar 2023, Published online: 01 Apr 2023

Figures & data

Figure 1 Flow chart showing the subjects selected for the study.

Abbreviations: FPG, fasting plasma glucose; OGTT, oral glucose tolerance test.
Figure 1 Flow chart showing the subjects selected for the study.

Table 1 Baseline Characteristics of the Subjects

Table 2 Biochemical Markers, PAPP-A, and Free β-HCG of the Study Participants in the First Trimester

Table 3 Stepwise Logistic Regression Analysis of Risk Factors for GDM

Table 4 ROC Curve Analysis of the Efficacies of Parameters in Predicting GDM

Figure 2 Receiver operating characteristic (ROC) curves for maternal factors, biochemical markers, PAPP-A, and a combination of maternal factors, biochemical markers, and PAPP-A for predicting GDM in the first trimester. The difference between PAPP-A and a combination of maternal factors, and biochemical markers was statistically significant (Z= 9.983, P<0.001).

Figure 2 Receiver operating characteristic (ROC) curves for maternal factors, biochemical markers, PAPP-A, and a combination of maternal factors, biochemical markers, and PAPP-A for predicting GDM in the first trimester. The difference between PAPP-A and a combination of maternal factors, and biochemical markers was statistically significant (Z= 9.983, P<0.001).

Table 5 PAPP-A Performance as a Predictor for GDM

Table 6 FPG Performance as a Predictor for GDM

Table 7 TG Performance as a Predictor for GDM

Table 8 TC Performance as a Predictor for GDM

Table 9 LDL Performance as a Predictor for GDM

Data Sharing Statement

The data sets used and analyzed during the current study are available from the corresponding author upon reasonable request.