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Transitional Flow in the Venous Side of Patient-Specific Arteriovenous Fistulae for Hemodialysis

Overview of attention for article published in Annals of Biomedical Engineering, December 2015
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Title
Transitional Flow in the Venous Side of Patient-Specific Arteriovenous Fistulae for Hemodialysis
Published in
Annals of Biomedical Engineering, December 2015
DOI 10.1007/s10439-015-1525-y
Pubmed ID
Authors

Michela Bozzetto, Bogdan Ene-Iordache, Andrea Remuzzi

Abstract

Arteriovenous fistula (AVF) is the first choice for providing vascular access for hemodialysis patients, but maintaining its patency is challenging. AVF failure is primarily due to development of neointimal hyperplasia (NH) and subsequent stenosis. Using idealized models of AVF we previously suggested that reciprocating hemodynamic wall shear is implicated in vessel stenosis. The aim of the present study was to investigate local hemodynamics in patient-specific side-to-end AVF. We reconstructed realistic geometrical models of four AVFs from magnetic resonance images acquired in a previous clinical study. High-resolution computational fluid dynamics simulations using patient-specific blood rheology and flow boundary conditions were performed. We then characterized the flow field and categorized disturbed flow areas by means of established hemodynamic wall parameters. In all AVF, either in upper or lower arm location, we consistently observed transitional laminar to turbulent-like flow developing in the juxta-anastomotic vein and damping towards the venous outflow, but not in the proximal artery. High-frequency fluctuations of the velocity vectors in these areas result in eddies that induce similar oscillations of wall shear stress vector. This condition may importantly impair the physiological response of endothelial cells to blood flow and be responsible for NH formation in newly created AVF.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 85 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 17%
Student > Master 14 16%
Researcher 9 10%
Student > Bachelor 8 9%
Student > Doctoral Student 4 5%
Other 15 17%
Unknown 21 24%
Readers by discipline Count As %
Engineering 34 40%
Medicine and Dentistry 12 14%
Nursing and Health Professions 2 2%
Agricultural and Biological Sciences 2 2%
Psychology 2 2%
Other 4 5%
Unknown 30 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2017.
All research outputs
#17,154,245
of 25,988,468 outputs
Outputs from Annals of Biomedical Engineering
#2
of 2 outputs
Outputs of similar age
#232,269
of 399,289 outputs
Outputs of similar age from Annals of Biomedical Engineering
#16
of 27 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2 research outputs from this source. They receive a mean Attention Score of 4.1. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 399,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.