ABSTRACT Objective This study aims to identify risk factors and develop a predictive model for restenosis after ultrasound‐guided percutaneous transluminal angioplasty (PTA) for arteriovenous fistula (AVF) stenosis. Methods A total of 100 patients undergoing PTA were categorized into restenosis ( n = 39) and non‐restenosis ( n = 61) groups based on 12‐month follow‐up. Multivariable logistic regression identified independent risk factors, and a nomogram was constructed. Model performance was assessed using ROC analysis, calibration curves, and decision curve analysis (DCA). Results Diabetes (odds ratio OR = 1.94), type I stenosis (OR = 3.49), severe AVF stenosis (OR = 2.37), AVF functional time < 6 months (OR = 3.17), vascular calcification (OR = 4.34), and elevated High‐Sensitivity C‐Reactive Protein (OR = 2.82) were independent risk factors (all p < 0.05). The predictive model demonstrated good discrimination (area under the curve AUC = 0.820) and calibration ( p = 0.3575). DCA confirmed clinical utility. Conclusion Key risk factors for restenosis were identified, and the predictive model showed strong performance, aiding clinical decision‐making.
Xun et al. (Thu,) studied this question.