Construction of risk factors and prediction model for arteriovenous graft thrombosis
Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: This study aims to identify risk factors for thrombosis in arteriovenous grafts and construct a predictive model to assess thrombosis risk in patients undergoing maintenance hemodialysis (MHD). METHODS: A total of 160 MHD patients with arteriovenous graft were included and divided into a thrombosis group (n=39) and a control group (n=121). Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. A nomogram prediction model was developed using R software, and its predictive performance was evaluated through calibration curves and C-index validation. RESULTS: as independent risk factors for arteriovenous graft thrombosis. The nomogram model demonstrated good predictive accuracy, with an initial C-index of 0.753 and a validated C-index of 0.735. CONCLUSION: The established nomogram effectively predicts arteriovenous graft thrombosis risk, aiding early identification and targeted intervention for high-risk patients.
Source: Nefrología (English Edition)
Authors: Yumei Fang, Xia Cao
Language: English
Subfield: Emergency Medical Services
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4417048422