血清lncRNA HCG18、miR-296-3p对妊娠糖尿病患者不良妊娠结局的预测价值OA

Objective To investigate the predictive value of serum long non-coding RNA(lncRNA)HCG18 and miR-296-3p for adverse pregnancy outcomes in patients with gestational diabetes mellitus(GDM).Methods A total of 87 GDM patients who were hospitalized and delivered in the hospital from June 2022 to June 2024 were selected as the GDM group.Another 80 healthy pregnant women who delivered in the hospital during the same period were selected as the control group.According to the pregnancy outcome,the GDM group was divided into good pregnancy outcome group and poor pregnancy outcome group.Baseline data of GDM patients were collected.The serum levels of lncRNA HCG18 and miR-296-3p in all subjects were de-tected by real-time fluorescence quantitative polymerase chain reaction.Pearson correlation was used to ana-lyze the correlation between serum lncRNA HCG18 level and miR-296-3p level in GDM patients.Multivariate Logistic regression was used to analyze the influencing factors of adverse pregnancy outcomes in GDM pa-tients.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum lncRNA HCG18,miR-296-3p alone and their combination for adverse pregnancy outcomes in GDM patients.Results The level of serum lncRNA HCG18 in the GDM group was higher than that in the control group,and the level of miR-296-3p was lower than that in the control group,and the differences were statistically signifi-cant(P＜0.05).There were 56 cases in the good pregnancy outcome group and 31 cases in the poor pregnancy outcome group.The levels of serum lncRNA HCG18FPG,FINS and HOMA-IR in the poor pregnancy out-come group were higher than those in the good pregnancy outcome group,and the level of miR-296-3p was lower than that in the good pregnancy outcome group,and the differences were statistically significant(P＜0.05).Pearson correlation analysis showed that serum level of lncRNA HCG18 was negatively correlated with the level of miR-296-3p in GDM patients(r=-0.524,P＜0.001).Multivariate Logistic regression analysis showed that the increased levels of lncRNA HCG18,FPG,FINS and insulin resistance index were risk factors for adverse pregnancy outcomes in GDM patients(P＜0.05).The increased level of miR-296-3p was a protec-tive factor for adverse pregnancy outcomes in GDM patients(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of serum lncRNA HCG18,miR-296-3p alone and their combination for predicting adverse pregnancy outcomes in GDM patients were 0.803,0.792 and 0.916,respectively.The AUC of com-bined detection was greater than serum lncRNA HCG18,miR-296-3p single detection(Z=2.055,2.748,P＜0.05).Conclusion The level of serum lncRNA HCG18 is increased and the level of miR-296-3p is decreased in GDM patients,which are related to the poor pregnancy outcome.The combined detection of lncRNA HCG18 and miR-296-3p has a higher predictive efficiency for adverse pregnancy outcome in GDM patients.