PP13

This study aimed to develop a first trimester prediction model for gestational diabetes mellitus (GDM) by using obesity, placental, and inflammatory biomarkers. The model incorporated maternal body mass index (BMI), insulin levels, uterine artery pulsatility index (UtA-PI), soluble CD163 (sCD163), pregnancy-associated plasma protein A (PAPP-A), placental protein 13 (PP13), and tumor necrosis factor alpha (TNFα). For obese women, the combination of high BMI, insulin, sCD163, and TNFα yielded a prediction model with an AUC of 0.95 and 89% detection at 10% false positive rate (FPR). In non-obese women, sCD163, TNFα, PP13, and PAPP-A combined gave an AUC of 0.94 with 83% detection at 10% FPR. This model demonstrates promise for early prediction of GDM but requires further validation.