| Objective: To explore the risk factors affecting the prognosis of patients with idiopathic membranous nephropathy(IMN),and establish a nomograph model to predict the long-term prognosis of IMN patients for 1 year,3 years,and 5 years.Methods:Patients with IMN who were initially diagnosed by renal biopsy at the People’s Hospital of Xinjiang Uygur Autonomous Region from January 1,2016 to December 31,2020 were selected as the study subjects.General information,demographic data,and clinical indicators of selected patients were retrospectively collected.All patients were followed up for at least 1 year.According to the results of Cox regression univariate analysis,factors that may affect the poor prognosis of IMN were obtained.A Cox regression model was constructed to obtain independent risk factors for poor renal prognosis,which was visualized using nomogram.The bootstrap method is used to verify the effectiveness of the model and evaluate the model.Results: Through single factor and Cox multivariate analysis,the differences in systolic blood pressure,stage,LMR,NLR,and PLA2 R were statistically significant,indicating that they were independent risk factors for renal survival.The results of ROC curve analysis showed that PLR,LMR,and NLR had high predictive value for poor renal prognosis.The predictive effect of poor kidney prognosis was demonstrated by plotting a nomogram,with a C-index of 0.874 and a high consistency index.The correction curves were very close to the ideal curve.The ROC curve was drawn.The predicted value of the model’s adverse renal prognosis can better represent the actual value.Conclusion: The levels of PLR,LMR,NLR,and PLA2 R before treatment are risk factors for the prognosis of patients with idiopathic model nephropathy;High NLR value,high LMR,and high PLA2 R are independent prognostic risk factors for IMN patients.The level of NLR has clinical significance in predicting the prognosis of patients with idiopathic membranous nephropathy. |
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