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Abstract
Despite arteriovenous fistulae (AVF) being the preferred vascular access for haemodialysis, high primary failure rates (30-70%) and low one-year patency rates (40-70%) hamper their use. Furthermore, AVF creation has been associated with haemodynamic changes causing maladaptive cardiac remodelling leading to cardiovascular (CV) complications. In this study, we present a new workflow for characterising the haemodynamic profile prior to and following surgical creation of a successful left radiocephalic AVF in a 20-year-old end-stage kidney disease patient. The reconstructed vasculature was generated using multiple ferumoxytol-enhanced magnetic resonance angiography (FeMRA) datasets. Computational fluid dynamics (CFD) simulations utilising a scale-resolving turbulence model were completed to investigate the changes in the proximal haemodynamics following AVF creation, in addition to the post-AVF juxta-anastomosis flow patterns, which is impractical to obtain in-vivo. Following AVF creation, a significant 2-3-fold increase in blood flow rate was induced downstream of the left subclavian artery. This was validated through comparison with post-AVF patient-specific phase-contrast data. Proximal to the anastomosis, the increased flow rate yielded an increase in time-averaged wall shear stress (WSS), which is a key marker of adaptive vascular remodelling. In the juxta-anastomosis region, the success of the AVF was discussed with respect to the National Kidney Foundation's vascular access guidelines, where the patient-specific AVF met the flow rate and geometry criterion. The AVF venous diameter exceeded 6mm and the venous flow rate surpassed 600mL/min. This workflow may potentially be significant clinically when applied to multi-patient cohorts, with population-wide patient-specific conclusions being ascertained for the haemodynamic assessment of AVFs and improved surgical planning.
Original language | English |
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Article number | 103814 |
Number of pages | 12 |
Journal | Medical Engineering & Physics |
Volume | 105 |
Early online date | 6 May 2022 |
DOIs | |
Publication status | Published - 31 Jul 2022 |
Keywords
- arteriovenous fistulae
- vascular access
- haemodynamics
- chronic kidney disease
- computational fluid dynamics
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Computational models of arterial haemodynamics for paediatric patients with high cardiovascular risk
Kazakidi, A. & Black, R. A.
3/09/18 → 31/08/21
Project: Research - Studentship
Prizes
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Strathclyde International Strategic Partners (ISPs) Joint PhD Cluster Fund
Kazakidi, Asimina (Recipient), 1 Sep 2017
Prize: Fellowship awarded competitively