Abstract:
Objective To explore the correlations of serum pregnancy-associated plasma protein-A2 (PAPP-A2) and insulin-like growth factor binding protein 5 (IGFBP5) levels with preeclampsia in pregnant women in high altitude area.
Methods A total of 76 pregnant women with preeclampsia and 70 normal pregnant women from June 2017 to June 2019 were selected as research objects. General materials of the two groups were compared; the levels of serum PAPP-A2 and IGFBP5 were detected at 12 to 15 weeks and 32 to 35 weeks of gestation in both groups; the receiver operating characteristic (ROC) curve was used to evaluate the value of serum PAPP-A2 and IGFBP5 in diagnosing preeclampsia in early pregnancy; the multivariate Logistic model was used to analyze the risk factors affecting preeclampsia.
Results The gestational weeks and neonatal body mass of pregnant women in the preeclampsia group were significantly lower than those in the normal pregnancy group, while the systolic blood pressure, diastolic blood pressure and quantitative level of 24 h proteinuria in pregnant women at 32 to 35 weeks of pregnancy were significantly higher than those in the normal pregnancy group (P<0.05). At 12 to 15 weeks and 32 to 35 weeks of gestation, the levels of serum PAPP-A2 and IGFBP5 in the preeclampsia group were significantly higher than those in the normal pregnancy group (P<0.05). At 12 to 15 weeks of gestation, the area under the curve (AUC) of serum PAPP-A2 combined with IGFBP5 in the diagnosis of preeclampsia was 0.916, and the sensitivity and specificity were 88.16% and 84.29% respectively. Multivariate Logistic analysis showed that serum PAPP-A2 (OR=1.528, 95%CI, 1.141 to 2.046) and IGFBP5 (OR=1.892, 95%CI, 1.246 to 2.872) were the influencing factors of preeclampsia (P<0.05).
Conclusion The levels of serum PAPP-A2 and IGFBP5 in pregnant women with preeclampsia at high altitude are highly expressed. The detection of serum PAPP-A2 and IGFBP5 in early pregnancy has a certain value in the diagnosis of preeclampsia, which might be used as biomarkers for early prediction of preeclampsia.