ArticleRenal failure2025
Analysis of arteriovenous fistula failure factors and construction of nomogram prediction model in patients with maintenance hemodialysis.
Article in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- From Water to Bloodstream: Aeromonas dhakensis as an Emerging Cause of Catheter-Related Bloodstream Infection.Cureus · 2026Article
- Establishment and Evaluation of Nomogram Model for Predicting the Risk of Arteriovenous Fistula Dysfunction in Patients Undergoing MHD.Healthcare (Basel, Switzerland) · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
objectivesAutogenous arteriovenous fistula (AVF) is a commonly used vascular access for maintenance hemodialysis (MHD), and its failure significantly impacts the quality of dialysis and patient prognosis. The purpose of this study was to analyze the factors associated with AVF failure in MHD patients and to establish a nomogram prediction model.
methodsData on end-stage renal disease (ESRD) patients undergoing MHD at our hemodialysis center were retrospectively collected and analyzed. Lasso regression analysis was employed to identify independent risk factors, and a nomogram model was developed to predict the risk of AVF failure in MHD patients. ROC curve analysis, the Hosmer-Lemeshow test, and decision curve analysis were utilized for model validation.
resultsThe study ultimately included 223 patients, and 6 independent factors influencing AVF failure were analyzed. The constructed nomogram model demonstrated good predictive power, with areas under the curve of 0.834 (95% CI 0.762-0.907) and 0.806 (95% CI 0.701-0.911) for the training and validation sets, respectively. The
conclusionsThis study identifies the key factors influencing AVF failure in MHD patients and establishes a validated prediction model using nomogram, providing clinical practice with an accurate visualization tool for the early identification and guidance of clinical decisions.
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