Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
[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 nephropathy who visited General Hospital of Northern Thea...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of International Journal of Geriatrics
2025-01-01
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| Series: | Guoji laonian yixue zazhi |
| Subjects: | |
| Online Access: | http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.01.011&lang=en |
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| Summary: | [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 nephropathy 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 combined 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 calibration 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 statistically 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 area 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 elderly patients with diabetic nephropathy.The prediction model has clinical advantages in accuracy and consistency. |
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| ISSN: | 1674-7593 |