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: Cong Feng, Bo Yang, Linlang Liang
Format: Article
Language:zho
Published: Editorial Office of International Journal of Geriatrics 2025-01-01
Series:Guoji laonian yixue zazhi
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Online Access:http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.01.011&lang=en
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author Cong Feng
Bo Yang
Linlang Liang
author_facet Cong Feng
Bo Yang
Linlang Liang
author_sort Cong Feng
collection DOAJ
description [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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spelling doaj-art-304a6c0a167e45628d26175225cec3732025-01-21T02:59:39ZzhoEditorial Office of International Journal of GeriatricsGuoji laonian yixue zazhi1674-75932025-01-01461525710.3969/j.issn.1674-7593.2025.01.011Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathyCong Feng0Bo Yang1Linlang Liang2Department of Endocrinology, General Hospital of Northern Theater Command of Chinese PLArmy Hospital, Shenyang 110016Department of Endocrinology, General Hospital of Northern Theater Command of Chinese PLArmy Hospital, Shenyang 110016Department of Endocrinology, General Hospital of Northern Theater Command of Chinese PLArmy Hospital, Shenyang 110016[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.http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.01.011&lang=endiabetic nephropathyurinary tract infectionrisk factorspredictionnomogram
spellingShingle Cong Feng
Bo Yang
Linlang Liang
Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
Guoji laonian yixue zazhi
diabetic nephropathy
urinary tract infection
risk factors
prediction
nomogram
title Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
title_full Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
title_fullStr Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
title_full_unstemmed Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
title_short Risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
title_sort risk factors and prediction model construction of urinary tract infection in elderly patients with diabetic nephropathy
topic diabetic nephropathy
urinary tract infection
risk factors
prediction
nomogram
url http://gwll.publish.founderss.cn/thesisDetails#10.3969/j.issn.1674-7593.2025.01.011&lang=en
work_keys_str_mv AT congfeng riskfactorsandpredictionmodelconstructionofurinarytractinfectioninelderlypatientswithdiabeticnephropathy
AT boyang riskfactorsandpredictionmodelconstructionofurinarytractinfectioninelderlypatientswithdiabeticnephropathy
AT linlangliang riskfactorsandpredictionmodelconstructionofurinarytractinfectioninelderlypatientswithdiabeticnephropathy