Abstract： Objective To establish and validate a model for predicting pre-eclampsia with nephrotic syndrome,providing reference for obstetricians to identify and diagnose pre-eclampsia with nephrotic syndrome early.Methods A retrospective analysis was conducted on 60 cases of pre-eclampsia with nephrotic syndrome hospitalized for delivery from January 2012 to January 2021 at the First Affiliated Hospital of Guangxi Medical University and Wuming Hospital affiliated to Guangxi Medical University.Additionally,202 cases of non-pre-eclampsia with nephrotic syndrome patients during the same period were selected as the control group.The cases were randomly divided into a training set and a validation set at a ratio of 7:3.Logistic univariate and multivariate analyses were performed on the training set according to whether pre-eclampsia with nephrotic syndrome was clinically diagnosed to establish a prediction model.The discriminative abili-ty and calibration of the model were tested,and internal validation was conducted using bootstrap and validation set data.The model was visualized using a column line chart.Results Logistic univariate and multivariate analysis ultimately re-tained 4 variables:early-onset type,primiparity,total protein,and fibrinogen.A diagnostic prediction model was estab-lished and presented using a column line chart.The internal validation area under the ROC curve was 0.951 7,indicating good generalization of the model.The HL test statistic for internal validation was 5 376.1,with P＜0.001.Conclusion The constructed prediction model can serve as a reference for clinical physicians to diagnose pre-eclampsia with nephrotic syndrome.