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Objective: Clinical monitoring remains central to vascular access care, while surveillance of vascular access blood flow (Qa) provides information for detecting dysfunction. Ultrasound dilution (UD), such as Transonic ® , is widely used for Qa measurement but may be limited by workflow, personnel, and time constraints. Alternatively, conductivity-based approaches integrated into dialysis machines enable automated intradialytic estimation of Qa without interrupting treatment. This bicentric study evaluated agreement between an automated ionic dialysance–based method, AFM ® , and UD, and assessed its clinical performance across prespecified Qa ranges. Methods: We conducted an observational method-comparison study in two Italian hemodialysis centers. Paired Qa measurements were obtained in 64 patients during routine hemodialysis sessions using AFM ® and Transonic ® . Agreement and association were assessed using Spearman correlation, Passing–Bablok regression, Bland–Altman analysis, Lin’s concordance correlation coefficient, and weighted Cohen’s kappa. Clinical performance was evaluated across prespecified Qa ranges: ⩽600, >600 to <2000, and ⩾2000 mL/min. Results: Median Qa was 1145 (IQR, 807-1536) mL/min with AFM and 1436 (IQR, 947-1980) mL/min with UD. The two methods showed strong correlation (ρ = 0.849, p < 0.001) and moderate-to-good concordance (CCC = 0.73). Bland–Altman analysis revealed a systematic underestimation at higher flows, with magnitude-dependent variability. Overall categorical agreement was 84% (weighted κ = 0.72). Performance was highest in the clinically relevant ranges of ⩽600 and >600 to <2000 mL/min, with 100% and 93% sensitivities, and F1-scores of 0.89 and 0.88, respectively. Agreement declined in the high-flow range (⩾2000 mL/min), where sensitivity dropped to 53%. Conclusion: AFM ® showed strong correlation and substantial clinical agreement with UD, particularly in the low- and intermediate-flow ranges most relevant to routine vascular access surveillance. Its automated intradialytic implementation supports its use as a practical screening tool for Qa surveillance. However, high-flow measurements should be interpreted cautiously and further evaluated when clinically indicated.
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Floris et al. (2026) studied this question.
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