Objective To analyze the risk factors of urinary tract infection in elderly patients with diabetic nephropathy,and to establish a predictive model.Methods From June 2018 to June 2023,a total of 240 elderly patients with type 2 diabetic ne-phropathy who visited General Hospital of Northern Theater Command of Chinese PLArmy Hospital were research object,of which 168 were included in disease group 1 and 72 were included in disease group 2.Disease group 1 included 52 cases of urinary tract infections(combined group)and 116 cases of non infection(non combined group);The disease group 2 included 26 cases of infection and 46 cases of non infection.Baseline and laboratory data were compared between disease group 1 and disease group 2,and between the com-bined group and non combined group;Multivariate logistic regression was applied to analyze the risk factors of urinary tract infections;The nomogram model was constructed based on the selected risk factors and validated,and consistency was checked by generating cali-bration curves.Results There was no significant difference in the data between disease group 1 and disease group 2(P＞0.05).The gender,course of disease,use of catheter,glycosylated hemoglobin(HbA1c),urinary albumin/creatinine ratio,estimated glomerular filtration rate(eGFR),and cystatin C(Cys-C)of the combined group and the non combined group in disease group 1 were statisti-cally significant(P＜0.05).Multivariate logistic regression analysis showed that female,urinary catheter,HbA1c＞7.5％,high Cys-C and low eGFR were the risk factors of urinary tract infection in elderly patients with diabetes nephropathy(P＜0.05).A nomogram was constructed from the results of multivariate logistic regression analysis.In the ROC curve for validating the nomogram model,the ar-ea under the curve was higher in disease group 1 and disease group 2[0.915(95％CI:0.871～0.959)and 0.926(95％CI:0.865～0.986)](P＜0.05).The fitting test results showed that the application performance of the prediction model was good in the disease 1 group and the disease 2 group,and the difference between the prediction results and the actual results was not significant(P＞0.05).Calibration curve showed that disease group 1 and disease group 2 were almost consistent with the ideal curve in this prediction model.Conclusion Female,urinary catheter,HbA1c＞7.5％,high Cys-C and low eGFR are the risk factors of urinary tract infection in eld-erly patients with diabetic nephropathy.The prediction model has clinical advantages in accuracy and consistency.
维普
万方数据