Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model
PurposeTo explore the influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and to construct a nomogram model.MethodsThe research subjects were 680 patients with type 2 diabetic nephropathy admitted to our hospital. The patients were included from May 2018 to Augus...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1431873/full |
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| author | Ganlin Wu Ganlin Wu Yanli Ye Meirong Xu Yanxia Zhang Zuopeng Lu Lv Huang |
| author_facet | Ganlin Wu Ganlin Wu Yanli Ye Meirong Xu Yanxia Zhang Zuopeng Lu Lv Huang |
| author_sort | Ganlin Wu |
| collection | DOAJ |
| description | PurposeTo explore the influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and to construct a nomogram model.MethodsThe research subjects were 680 patients with type 2 diabetic nephropathy admitted to our hospital. The patients were included from May 2018 to August 2023. Patients with acute kidney injury were used as the merge group (n=50), and patients without unmerge group (n=630) was included. The prevalence and predisposing factors of acute kidney injury in diabetic nephropathy were analyzed, multivariate logistic regression were used to analyze the influencing factors of acute kidney injury in patients, and a nomogram risk prediction model was established based on risk factors for verification.ResultsAnalysis of the factors of acute kidney injury in diabetic nephropathy found that severe infection was the main trigger, accounting for 40.00%, followed by nephrotoxic antibiotics and severe heart failure. The age, urine microalbumin-to-creatinine ratio (ACR), blood urea nitrogen (BUN), uric acid(UA), and cystatin C (CysC) levels of patients in the combined acute kidney injury group were significantly higher than those in the unmerge group (P<0.05), and the left ventricular ejection fraction (LVEF) and epidermal growth factor receptor (eGFR) levels were significantly lower than those in the unmerge group (P<0.05). Age, ACR, and CysC levels are independent risk factors for acute kidney injury in diabetic nephropathy, and LVEF and eGFR are independent protective factors (P<0.05). The C-index of the nomogram risk prediction model in predicting acute kidney injury in diabetic nephropathy is 0.768 (95% CI: 0.663-0.806), and the calibration curve tends to the ideal curve; the prediction threshold is >0.18, and the nomogram risk prediction model provides a clinical net benefits, and clinical net benefits were higher than independent predictors.ConclusionThe establishment of a nomogram model for acute kidney injury in elderly patients with diabetic nephropathy based on age, ACR, CysC, LVEF, and eGFR has a good predictive effect, which can help doctors more accurately assess the patient’s condition and provide a basis for formulating personalized treatment plans. |
| format | Article |
| id | doaj-art-af645b2ec3624258b7a6687c21104d58 |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj-art-af645b2ec3624258b7a6687c21104d582025-01-30T04:11:04ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-01-011510.3389/fendo.2024.14318731431873Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram modelGanlin Wu0Ganlin Wu1Yanli Ye2Meirong Xu3Yanxia Zhang4Zuopeng Lu5Lv Huang6School of Clinical Medicine, Xianning Medical College, Hubei University of Science and Technology, Xianning, ChinaNational Demonstration Center for Experimental (General Practice) Education, Xianning Medical College, Hubei University of Science and Technology, Xianning, ChinaDepartment of Internal Medicine, The Second Affiliated Hospital of Hubei University of Science and Technology, Xianning, ChinaDepartment of Geriatrics, The Second Affiliated Hospital of Hubei University of Science and Technology, Xianning, ChinaDepartment of Nephrology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan University, Wuhan, Hubei, ChinaDepartment of Surgery, People’s Hospital of Tongcheng County, Xianning, ChinaCollege of Pharmacy, Hubei University of Science and Technology, Xianning, ChinaPurposeTo explore the influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and to construct a nomogram model.MethodsThe research subjects were 680 patients with type 2 diabetic nephropathy admitted to our hospital. The patients were included from May 2018 to August 2023. Patients with acute kidney injury were used as the merge group (n=50), and patients without unmerge group (n=630) was included. The prevalence and predisposing factors of acute kidney injury in diabetic nephropathy were analyzed, multivariate logistic regression were used to analyze the influencing factors of acute kidney injury in patients, and a nomogram risk prediction model was established based on risk factors for verification.ResultsAnalysis of the factors of acute kidney injury in diabetic nephropathy found that severe infection was the main trigger, accounting for 40.00%, followed by nephrotoxic antibiotics and severe heart failure. The age, urine microalbumin-to-creatinine ratio (ACR), blood urea nitrogen (BUN), uric acid(UA), and cystatin C (CysC) levels of patients in the combined acute kidney injury group were significantly higher than those in the unmerge group (P<0.05), and the left ventricular ejection fraction (LVEF) and epidermal growth factor receptor (eGFR) levels were significantly lower than those in the unmerge group (P<0.05). Age, ACR, and CysC levels are independent risk factors for acute kidney injury in diabetic nephropathy, and LVEF and eGFR are independent protective factors (P<0.05). The C-index of the nomogram risk prediction model in predicting acute kidney injury in diabetic nephropathy is 0.768 (95% CI: 0.663-0.806), and the calibration curve tends to the ideal curve; the prediction threshold is >0.18, and the nomogram risk prediction model provides a clinical net benefits, and clinical net benefits were higher than independent predictors.ConclusionThe establishment of a nomogram model for acute kidney injury in elderly patients with diabetic nephropathy based on age, ACR, CysC, LVEF, and eGFR has a good predictive effect, which can help doctors more accurately assess the patient’s condition and provide a basis for formulating personalized treatment plans.https://www.frontiersin.org/articles/10.3389/fendo.2024.1431873/fullacute kidney Injuryelderly diabetic nephropathyinfluencing factorsnomogrammodel |
| spellingShingle | Ganlin Wu Ganlin Wu Yanli Ye Meirong Xu Yanxia Zhang Zuopeng Lu Lv Huang Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model Frontiers in Endocrinology acute kidney Injury elderly diabetic nephropathy influencing factors nomogram model |
| title | Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model |
| title_full | Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model |
| title_fullStr | Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model |
| title_full_unstemmed | Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model |
| title_short | Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model |
| title_sort | influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model |
| topic | acute kidney Injury elderly diabetic nephropathy influencing factors nomogram model |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1431873/full |
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