ArticleLangenbeck's archives of surgery2025
Development and validation of an inflammatory-based nomogram for predicting arteriovenous fistula maturation failure in end-stage renal disease patients.
Article in Langenbeck's archives of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Preoperative high-sensitivity C-reactive protein-to-albumin ratio predicts arteriovenous fistula failure in hemodialysis patients: a retrospective cohort study with landmark analysis.Frontiers in surgery · 2026Article
- Preoperative Doppler Ultrasound Parameters as Predictors of Arteriovenous Fistula Maturation in End-Stage Renal Disease: A Prospective Cohort Study.International journal of nephrology and renovascular disease · 2026Article
- Construction and verification of a prediction model for arteriovenous fistula failure in elderly dialysis patients based on clinical characteristics and laboratory indexes.BMC nephrology · 2025Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and hypothesisArteriovenous fistula (AVF) is regarded as the most effective vascular access for hemodialysis in patients with end-stage renal disease (ESRD).However, research investigating the relationships between the systemic inflammation response index (SIRI), the triglyceride-glucose index combined with body mass index (TyG-BMI), and the high-sensitivity C-reactive protein to albumin ratio (HRR) with AVF maturation is still limited.
methodsWe included all ESRD patients undergoing first-time AVF creation between March and August 2024 at Haidian Hospital, Beijing (n = 249). To evaluate predictors of AVF maturation failure, we analyzed preoperative clinical/laboratory data and follow-up ultrasound assessments using restricted cubic spline models for dose-response relationships (SIRI, TyG-BMI, HRR). Multivariable Cox models identified independent risk factors, and a predictive nomogram was developed and validated through C-index and calibration plots.
resultsThis study included 249 patients (73.5% AVF maturation rate). Restricted cubic spline analysis revealed linear associations between AVF maturation and SIRI (p-overall = 0.047), TyG-BMI (p-overall = 0.039), and HRR (p-overall = 0.026). Multivariable Cox regression identified three independent predictors: SIRI (HR = 1.69, 95%CI:1.45-1.96), TyG-BMI (HR = 2.68, 95%CI:1.62-4.41), and HRR (HR = 1.44, 95%CI:1.28-1.61) (all p < 0.001). The biomarker-based nomogram showed strong predictive accuracy, with calibration curves demonstrating excellent observed-versus-expected agreement.
conclusionNon-maturation of AVF was independently associated with three inflammation-based biomarkers, namely SIRI, TyG-BMI, and HRR. High predictive accuracy was demonstrated by the nomogram incorporating these markers, supporting its use for the early identification of high-risk patients.
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