Integrating vascular access surveillance with clinical monitoring for stenosis prediction.
Chung-Kuan WuChia-Hsun LinPublished in: Journal of nephrology (2023)
Blood flow surveillance models using thresholds of < 400 and < 600 mL/min, followed by thorough physical examination, showed an accuracy of 91.54% and 72.15% in predicting stenosis in patients with arteriovenous fistula and arteriovenous graft, respectively. These two blood flow surveillance models may be integrated with routine clinical monitoring to improve early detection and treatment of stenosis in hemodialysis patients.