Objective To construct a prediction model for preeclampsia(PE)risk in twin-pregnant women,so as to pro-vide the basis for early screening and prevention of PE.Methods A total of 467 twin-pregnant women who underwent prenatal examination and delivered at Huzhou Maternal and Child Health Hospital were selected.Sixty cases with pre-eclampsia(PE)were included in the case group,and 60 women without PE were included in the control group.Gener-al information,blood biochemical indicators and uterine artery resistance index(UtA-RI)were collected.A logistic re-gression model was used to screen predictive factors and establish a nomogram.The Bootstrap method was performed for the internal validation;the receiver operating characteristic(ROC)curve,calibration curve and decision curve analy-sis were employed to evaluate the discrimination,calibration and clinical utility of the nomogram,respectively.Results In the case group,there were 47 individuals(78.33%)aged younger than 35 years,21 individuals(35.00%)with pre-pregnancy body mass index(BMI)of 25 kg/m2 and above,and 33 individuals(55.00%)with in vitro fertilization.In the control group,there were 57 individuals(95.00%)aged younger than 35 years,8 individuals(13.33%)with pre-pregnan-cy BMI of 25 kg/m2 and above,and 39 individuals(65.00%)with natural pregnancy.Multivariable logistic regression analysis identified age,pre-pregnancy BMI,method of conception,placental growth factor(PLGF)and UtA-RI as risk prediction factors for PE in twin-pregnant women.The established nomogram had an area under the ROC curve of 0.827(95%CI:0.755-0.899),a sensitivity of 0.767,a specificity of 0.733,a good discrimination and calibration,and a relatively high clinical net benefit.Conclusion The nomogram established by age,pre-pregnancy BMI,method of con-ception,PLGF and UtA-RI has a good predictive value for the risk of PE in twin-pregnant women.
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