Journal of Gannan Medical University

Objective : To analyze the predictive value of serum indicators, fetal umbilical artery blood flow parameters and fetal growth indicators for pregnancy outcomes in pregnant women with gestational diabetes mellitus(GDM). Methods : A total of 300 pregnant women with GDM admitted to Guangdong Clifford Hospital from June 2022 to June 2025 were enrolled in this retrospective study. According to pregnancy outcomes, the subjects were divided into adverse outcome group and favorable outcome group. General data, serum indicators, fetal umbilical artery blood flow parameters and fetal growth indicators were collected and compared between the two groups. Logistic regression analysis was performed on the statistically different indicators to identify the independent risk factors for adverse pregnancy outcomes in GDM women. A nomogram and receiver operating characteristic(ROC) curve were drawn to evaluate the predictive value of these factors for adverse pregnancy outcomes in pregnant women with GDM. Results : Among the 300 GDM pregnant women, 46 cases had adverse pregnancy outcomes(adverse outcome group), and the remaining 254 cases had favorable pregnancy outcomes(favorable outcome group). The levels of fasting plasma glucose(FPG), fetal umbilical artery pulsatility index(PI), systolic/diastolic ratio(S/D), abdominal circumference(AC) and estimated fetal weight(EFW) in the adverse outcome group were significantly higher than those in the favorable outcome group(P<0. 05), and these indicators were independent risk factors for adverse pregnancy outcomes in GDM women. The nomogram combined with calibration curve showed that the predictive model established on the above factors had higher application value. The area under the curve(AUC) of the ROC curve of the combined prediction for adverse pregnancy outcomes was 0. 875(95% CI: 0. 821-0. 929). Conclusion : Fasting plasma glucose, PI, S/D, AC and EFW are independent risk factors for adverse pregnancy outcomes in pregnant women with GDM. The nomogram prediction model constructed based on the above indicators has higher predictive value, and combined detection of the five indicators can improve the predictive accuracy of adverse pregnancy outcomes in GDM pregnant women.