Construction and Validation of a Predictive Model for Influencing Factors of Serum Uric Acid in Preeclampsia
10.11969/j.issn.1673-548X.2025.09.017
- VernacularTitle:子痫前期孕妇血清尿酸影响因素的预测模型构建与验证
- Author:
Kun YAN
1
;
Jin LU
;
Jianhong ZHOU
Author Information
1. 233000 蚌埠医科大学附属蚌埠第三人民医院
- Publication Type:Journal Article
- Keywords:
Preeclampsia;
Serum uric acid;
Neural network;
Nomogram
- From:
Journal of Medical Research
2025;54(9):98-102,192
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct and validate a predictive model for influencing factors of serum uric acid(SUA)in preeclampsia(PE),providing a scientific basis for early identification and intervention.Methods This study collects 19 variables from 171 PE preg-nant women admitted to the Department of Obstetrics at Bengbu Third People's Hospital between March 1,2021 to June 30,2024 inclu-ding hospitalization number,age,height,weight,urine protein,gestational week,SUA,oral glucose tolerance test(OGTT),alanine aminotransferase(ALT),hemoglobin(HB),albumin(ALB),aspartate aminotransferase(AST),serum creatinine(SCR),triglycer-ides(TG),total cholesterol(TC),serum urea(SUR),low-density lipoprotein cholesterol(LDL),high-density lipoprotein choles-terol(HDL),and D-dimer(D2D).According to the expression level of SUA,the important variables affecting SUA were screened by LASSO,multi-factor Logistic and neural network model,and the nomogram prediction model was constructed.The predictive perform-ance and clinical utility of the model were validated using the receiver operating characteristic(ROC)curve,decision curve analysis(DCA),and calibration curve.Results Three variables-ALB(OR=0.893,95％CI:0.808-0.986),AST(OR=4.292,95％CI:2.043-9.016)and SCR(OR=4.2,95％CI:1.495-11.801)-were identified as significant influencing factors of SUA in PE pregnant women through LASSO,multivariate Logistic regression,and neural network models.A nomogram prediction model for SUA was success-fully established,achieving an ROC value of 0.7646.The net benefit range of DCA was 20％-100％,and the calibration curve showed high consistency with the ideal curve.Conclusion ALB,AST,and SCR are critical variables influencing SUA in PE pregnant women,offering a scientific basis for early prediction and intervention.
