Publications by authors named "Tracie J Barber"

Article Synopsis
  • Heart failure is prevalent among hemodialysis patients, and high flow arteriovenous fistulas (AVFs) may be a risk factor; this study aims to create a predictive model to identify patients at risk of developing high flow AVFs.
  • Using data from 366 patients, the study compared various machine learning models to predict high flow AVF development, finding that the bootstrap forest model was the most effective.
  • Results showed that while 31.4% of patients had high flow AVFs, and 24.9% developed heart failure after AVF creation, no direct correlation was found between AVF flow and the onset of heart failure or death post-creation.
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Although microbubbles are used primarily in the medical industry as ultrasonic contrast agents, they can also be manipulated by acoustic waves for targeted drug delivery, sonothrombolysis and sonoporation. Acoustic waves can also potentially remove microbubbles from tubing systems (e.g.

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Background And Objective: The use of patient-specific CFD modelling for arteriovenous fistulae (AVF) has shown great clinical potential for improving surveillance, yet the use of imaging modes such as MRI and CT for the 3D geometry acquisition presents high costs and exposure risks, preventing regular use. We have developed an ultrasound based procedure to bypass these limitations.

Methods: A scanning procedure and processing pipeline was developed specifically for CFD modelling of AVFs, using a freehand ultrasound setup combining B-mode scanning with 3D probe motion tracking.

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Prior numerical studies have shown that the blood flow patterns surrounding drug-eluting stents can enhance drug uptake in stented arteries. However, these studies employed steady-state simulations, wherein flow and drug transport parameters remained constant with respect to time. In the present study, numerical simulations and in-vitro experiments were performed to determine whether luminal blood flow patterns can truly enhance drug uptake in stented arteries.

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Background And Methods: It is important to ensure that blood flow is modelled accurately in numerical studies of arteries featuring drug-eluting stents due to the significant proportion of drug transport from the stent into the arterial wall which is flow-mediated. Modelling blood is complicated, however, by variations in blood rheological behaviour between individuals, blood's complex near-wall behaviour, and the large number of rheological models which have been proposed. In this study, a series of steady-state computational fluid dynamics analyses were performed in which the traditional Newtonian model was compared against a range of non-Newtonian models.

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Article Synopsis
  • Deterministic lateral displacement (DLD) is a microfluidic technology used for separating particles based on size, particularly in applications like cell separation and enrichment.
  • This paper presents an efficient manufacturing protocol for creating thermoplastic DLD devices using safe and biocompatible materials, significantly lowering manufacturing costs and time to under one hour.
  • The resulting device achieves a flow rate of 660 μl/min and shows high accuracy in replication, with only minor deviations in post heights and array pitches compared to the original design.
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On average, an end-stage renal disease patient will undergo hemodialysis (HD) three or four times a week for 4-5 h per session. Any minor imperfection in the extracorporeal system may become significant in the treatment of these patients due to the cumulative exposure time. Recently, air traps (a safety feature of dialysis systems) have been reported to be inadequate in detecting microbubbles and may even create them.

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Drug-eluting stents reside in a dynamic fluid environment where the extent to which drugs are distributed within the arterial wall is critically modulated by the blood flowing through the arterial lumen. Yet several factors associated with the pulsatile nature of blood flow and their impact on arterial drug deposition have not been fully investigated. We employed an integrated framework comprising bench-top and computational models to explore the factors governing the time-varying fluid dynamic environment within the vasculature and their effects on arterial drug distribution patterns.

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The mechanisms of delivery of anti-proliferative drug from a drug-eluting stent are defined by transport forces in the coating, the lumen, and the arterial wall. Dynamic asymmetries in the localized flow about stent struts have previously been shown to contribute to significant heterogeneity in the spatial distribution of drug in in silico three-compartmental models of stent based drug delivery. A novel bench-top experiment has been created to confirm this phenomena.

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A novel benchtop model of drug elution and arterial drug deposition following stent implantation has been developed. The model contains a single drug loaded strut and a compartment simulating the vessel wall, housed in a flow chamber under a pulsatile flow regime. Each component has programmable transport properties that can be implemented into a computational model of drug elution.

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Computational fluid dynamics simulation of stenosed arteries allows the analysis of quantities including wall shear stress, velocity, and pressure; detailed in vivo measurement is difficult yet the analysis of the fluid dynamics related to stenosis is important in understanding the likely causes and ongoing effects on the integrity of the vessel. In this study, a three-dimensional Large Eddy Simulation is conducted of a 50% occluded vessel, with a typical femoral artery profile used as the transient inlet conditions. The fluid is assumed to be homogenous, Newtonian and incompressible and the walls are assumed rigid.

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