Abstract
Background and Objective: Preeclampsia(PE), a prevalent complication of pregnancy, could severely affect the health of gravidas and fetuses. Consequently, developing a convenient, cost-effective, and reliable method for predicting the occurrence of PE is crucial. This study aimed to assess the predictive value of combining renal function markers with blood lipid levels for PE.
Methods:This study conducted a retrospective analysis of 527 cases of pregnant women dilivering in Hangzhou Women’s Hospital during January 2021 to December 2023, which were divided into PE group(n=263) and control group(n=264).The levels of serum renal function markers and blood lipid were compared in both groups. Logistic regression analysis was used to explore the factors associated with PE. Then the receiver operating characteristic (ROC) curve was used to evaluate the predictive value of combining renal function markers with blood lipid levels for PE.
Results: Univariate analysis showed that the PE group had higher serum triglyceride(TG), creatinine(Cr), uric acid(UA)and urea than the control group. Logistic regression analysis showed that the high levels of serum TG,Cr and UA were independent risk factors for PE (P< 0.01). The areas under the curve (AUC) were 0.703(95%CI=0.658-0.747), 0.734(95%CI=0.691-0.777) and 0.822(95%CI=0.786-0.857) respectively. The AUC, sensitivity and specificity of the joint detection of TG,Cr and UA were 0.864(95%CI=0.833-0.896), 76.4%,and 84.8%,which showing a good predictive performance.
Conclusions: The increased levels of serum TG,Cr and UA suggest an increased risk of PE. And their joint detection has a certain predictive valuefor PE, which perhaps could offer a convenient and efficient method for the early diagnosis of PE.