Abstract： Objective To construct a nomogram model for predicting diabetic nephropathy(DN)in patients with diabetic retinopathy(DR)to provide a tool for DN screening in DR patients,and to evaluate the discrimination and consis-tency of this model.Methods A retrospective study.140 diabetic patients who were hospitalized in the department of oph-thalmology and endocrinology of our hospital from January 2020 to December 2022 were included.They were divided into non-DN group and DN group according to whether they were complicated by DN.The clinical data of the patients were col-lected and the differences between the two groups were compared.The logistic regression model was used to analyze the risk factors of DR patients complicated with DN,a nomogram prediction model was constructed,and the discrimination and consistency tests were performed.Results Among 140 DR patients,88 cases developed DN.Compared with the non-DN group,patients in the DN group had diabetes duration,body mass index,systolic blood pressure,diastolic blood pres-sure,serum urea nitrogen,serum creatinine,low-density lipoprotein,total cholesterol,uric acid,proportion of diabetic macular edema,and the proportion of non-proliferative DR(NPDR)and the proliferative DR(PDR)were increased(all P<0.05),glomerular filtration rate decreased(P<0.05).Binary logistic regression analysis found that systolic blood pressure(OR=1.05,P<0.05),body mass index(OR=1.20,P<0.05),total cholesterol(OR=1.77,P<0.05),uric acid(OR=1.01,P<0.05),serum urea nitrogen(OR=1.59,P<0.05),and diabetic macular edema ratio(OR=11.66,P<0.05)were independent risk factors for DN in patients with DR.The systolic blood pressure,body mass index,total six factors in-cluding cholesterol,uric acid,serum urea nitrogen,and diabetic macular edema ratio were used to construct a nomogram model for predicting DN in DR patients.The receiver operating curve(ROC)showed the area under the curve AUC was0.920(0.878～0.962),which proved that the discrimination was good.The calibration curve showed a slope close to 1.Conclusions The nomogram model constructed based on six factors including systolic blood pressure,body mass index,total cholesterol,uric acid,serum urea nitrogen,and diabetic macular edema ratio has diagnostic value for DN and plays a role in guiding the clinical diagnosis and prediction of DN.