Evidence map›Paper›PMID 39950166›Full record

ArticleFrontiers in endocrinology2024

Influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and establishment of nomogram model.

Ganlin Wu, Yanli Ye, Meirong Xu, Yanxia Zhang, Zuopeng Lu, Lv Huang

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Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Ganlin WuSchool of Clinical Medicine, Xianning Medical College, Hubei University of Science and Technology, Xianning, China.
Yanli YeDepartment of Internal Medicine, The Second Affiliated Hospital of Hubei University of Science and Technology, Xianning, China.
Meirong XuDepartment of Geriatrics, The Second Affiliated Hospital of Hubei University of Science and Technology, Xianning, China.
Yanxia ZhangDepartment of Nephrology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan University, Wuhan, Hubei, China.
Zuopeng LuDepartment of Surgery, People's Hospital of Tongcheng County, Xianning, China.
Lv HuangCollege of Pharmacy, Hubei University of Science and Technology, Xianning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the influencing factors of acute kidney injury in elderly patients with diabetic nephropathy and to construct a nomogram model. Methods: The 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. Results: Analysis 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 ( Conclusion: The 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.

Indexed as

Acute Kidney InjuryDiabetes Mellitus, Type 2Diabetic NephropathiesNomogramsAgedAged, 80 and overChinaFemaleGlomerular Filtration RateHumansMaleMiddle AgedPrognosisRisk Factorsacute kidney Injuryelderly diabetic nephropathyinfluencing factorsmodelnomogram

Identifiers

PMID39950166
PMCPMC11821420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.