The use of AVF.SIM system for the surgical planning of arteriovenous fistulae in routine clinical practice.


Journal

The journal of vascular access
ISSN: 1724-6032
Titre abrégé: J Vasc Access
Pays: United States
ID NLM: 100940729

Informations de publication

Date de publication:
Sep 2023
Historique:
medline: 8 11 2023
pubmed: 7 1 2022
entrez: 6 1 2022
Statut: ppublish

Résumé

The number of patients treated with hemodialysis (HD) in Europe is more than half a million and this number increases annually. The arteriovenous fistula (AVF) is the vascular access (VA) of first choice, but the clinical outcome is still poor. A consistent number of AVFs fails to reach the desired blood flow rate for HD treatment, while some have too high flow and risk for cardiac complications. Despite the skill of the surgeons and the possibility to use Ultrasound investigation for mapping arm vasculature, it is still not possible to predict the blood flow volume that will be obtained after AVF maturation. We evaluated the potential of using a computational model (AVF.SIM) to predict the blood flow volume that will be achieved after AVF maturation, within a multicenter international clinical investigation aimed at assessing AVF.SIM predictive power. The study population included 231 patients, with data on AVF maturation in 124 patients, and on long-term primary patency in 180 patients. At 1 year of follow-up, about 60% of AVFs were still patent, with comparable primary patency in proximal and distal anastomosis. The correlation between predicted and measured blood flow volume in the brachial artery at 40 days after surgery was statistically significant, with an overall correlation coefficient of 0.58 ( The results indicate that the use of the AVF.SIM system allowed to predict with a good accuracy the blood flow volume achievable after VA maturation, for a given location and type of anastomosis. This information may help in AVF surgical planning, reducing the AVFs with too low or too high blood flow, thus improving AVF patency rate and clinical outcome of renal replacement therapy.

Sections du résumé

BACKGROUND UNASSIGNED
The number of patients treated with hemodialysis (HD) in Europe is more than half a million and this number increases annually. The arteriovenous fistula (AVF) is the vascular access (VA) of first choice, but the clinical outcome is still poor. A consistent number of AVFs fails to reach the desired blood flow rate for HD treatment, while some have too high flow and risk for cardiac complications. Despite the skill of the surgeons and the possibility to use Ultrasound investigation for mapping arm vasculature, it is still not possible to predict the blood flow volume that will be obtained after AVF maturation.
METHODS UNASSIGNED
We evaluated the potential of using a computational model (AVF.SIM) to predict the blood flow volume that will be achieved after AVF maturation, within a multicenter international clinical investigation aimed at assessing AVF.SIM predictive power. The study population included 231 patients, with data on AVF maturation in 124 patients, and on long-term primary patency in 180 patients.
RESULTS UNASSIGNED
At 1 year of follow-up, about 60% of AVFs were still patent, with comparable primary patency in proximal and distal anastomosis. The correlation between predicted and measured blood flow volume in the brachial artery at 40 days after surgery was statistically significant, with an overall correlation coefficient of 0.58 (
CONCLUSIONS UNASSIGNED
The results indicate that the use of the AVF.SIM system allowed to predict with a good accuracy the blood flow volume achievable after VA maturation, for a given location and type of anastomosis. This information may help in AVF surgical planning, reducing the AVFs with too low or too high blood flow, thus improving AVF patency rate and clinical outcome of renal replacement therapy.

Identifiants

pubmed: 34986688
doi: 10.1177/11297298211062695
doi:

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1061-1068

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Michela Bozzetto (M)

Department of Engineering and Applied Sciences, University of Bergamo, Dalmine, Italy.

Sofia Poloni (S)

Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS (BG), Bergamo, Italy.

Anna Caroli (A)

Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS (BG), Bergamo, Italy.

Diego Curtò (D)

Unit of Nephrology and Dialysis, Asst Santi Paolo e Carlo, Milan, Italy.

Annick D'Haeninck (A)

Renal Division, Ghent University Hospital, Ghent, Belgium.

Floris Vanommeslaeghe (F)

Renal Division, Ghent University Hospital, Ghent, Belgium.

Nikola Gjorgjievski (N)

University Hospital of Nephrology, University SS "Cyril and Methodius," Skopje, Macedonia.

Andrea Remuzzi (A)

Department of Management, Information and Production Engineering, University of Bergamo, Dalmine, Italy.

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Classifications MeSH