Construction of a nomogram model of prognostic risk in patients with preeclampsia in pregnancy
Objective:Analyse the factors influencing the prognosis of patients with preeclampsia of pregnancy(PE)based on nomogram.Methods:Retrospectively,250 pregnant women with PE in the obstetrics department of Cangzhou People's Hospital from January 2022 to June 2024 were selected as the study subjects,and the factors influencing the poor prognosis of pregnant patients with PE were analyzed based on nomogram.Results:The AUC of the nomogram model was 0.981(95%CI:0.963～0.999)and the AUC of the validation cohort model was 0.964(95%CI:0.928～1.000),both of which generated actual outcome curves with small deviations from the calibration curves,and the decision score curves further confirmed the predictive efficacy of the type.Conclusion:FIB,HDL-C,TC,TG,and severe PE were all independent influences on the poor prognosis of patients with gestational PE,and the nomogram model constructed on this basis had good predictive ability.
Pre-eclampsia of pregnancyAdverse pregnancyLogistic regressionInfluencing factorsnomogram
万方数据
维普
