ArticleInternational journal of general medicine2026
Red Blood Cell Distribution Width as a Risk Factor for Late Arteriovenous Fistula Thrombosis in Maintenance Hemodialysis Patients: A Retrospective Cohort Study.
Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To investigate the predictive value of red blood cell distribution width (RDW) for late thrombosis in arteriovenous fistula (AVF). Methods: A retrospective analysis was conducted on data from 50 patients with late AVF thrombosis admitted to Yangpu Hospital between June 2017 and May 2022 were collected. 60 patients with AVF but without thrombosis were recruited from the same institution during the same study period were selected as the control group. The correlation between RDW and other data was analyzed. Statistically significant risk factors were analyzed by multivariate logistic regression. The ROC curve was used to evaluate the value of RDW in predicting late AVF thrombosis. Results: The values of RDW and leukocyte count in the thrombosis group were higher than those in the control group (P < 0.01). The levels of CRP, PLR, NLR, and neutrophils in the thrombosis group were higher than those in the control group (P < 0.05). Pearson correlation analysis showed that RDW was positively correlated with CRP, red blood cell count, PLR, NLR, and blood phosphorus. Multivariate logistic regression analysis showed that RDW (OR = 1.774, 95% CI: 1.055-2.983, P< 0.05) was an independent risk factor for late AVF thrombosis. ROC curve analysis displayed that the area under the curve (AUC) for RDW was 0.702 (95% CI: 0.59 6-0.808, P<0.001). The optimal predictive cutoff value for RDW, calculated according to the Youden index, is 15.30%. Using RDW ≥ 15.30% to predict late AVF thrombosis yielded a sensitivity of 60.00% and a specificity of 98.30%. Conclusion: RDW exhibits distinct expression patterns in late AVF thrombosis and demonstrates significant diagnostic potential. Incorporating this marker into existing diagnostic algorithms may enhance early risk prediction. However, further validation in large-scale, prospective multicenter studies is required to establish its clinical utility in routine practice.
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