Autologous arteriovenous fistula (AVF) is a commonly used vascular access (VA) for hemodialysis, and hemodynamic changes are one of the main factors for its failure. To explore the effect of geometry on the hemodynamics in the AVF, a modified model is built with a gradual and smooth turn at the anastomosis and is compared with the traditional model, which has an abrupt sharp turn at the anastomisis. Transient computational fluid dynamics (CFD) simulations were performed for the comparison and analysis of the hemodynamic fields of the two models at different stages of the pulse cycle. The results showed that the low shear stress region and high oscillatory shear stress region in the modified AVF model coincided with regions of intimal hyperplasia that have been identified by previous studies. A comparison with the blood flow velocities measured in vivo was performed, and the error between the simulation results and the medical data was reduced by 22% in the modified model, which verifies the rationality and utility of the modified model.

Download full-text PDF

Source
http://dx.doi.org/10.1002/cnm.3856DOI Listing

Publication Analysis

Top Keywords

modified model
12
shear stress
8
stress region
8
modified
5
model
5
computational model-based
4
model-based hemodynamic
4
hemodynamic comparisons
4
comparisons traditional
4
traditional modified
4

Similar Publications

[Methods to Increase the Efficiency of Knock-in of a Construct Encoding the HIV-1 Fusion Inhibitor, MT-C34 Peptide, into the CXCR4 Locus in the CEM/R5 T Cell Line].

Mol Biol (Mosk)

December 2024

Center of Precision Genome Editing and Genetic Technologies for Biomedicine, Institute of Gene Biology, Russian Academy of Sciences, Moscow, 119334 Russia.

The low knock-in efficiency, especially in primary human cells, limits the use of the genome editing technology for therapeutic purposes, rendering it important to develop approaches for increasing the knock-in levels. In this work, the efficiencies of several approaches were studied using a model of knock-in of a construct coding for the peptide HIV fusion inhibitor MT-C34 into the human CXCR4 locus in the CEM/R5 T cell line. First, donor DNA modification was evaluated as a means to improve the efficiency of plasmid transport into the nucleus.

View Article and Find Full Text PDF

ALSUntangled #77: Psilocybin.

Amyotroph Lateral Scler Frontotemporal Degener

December 2024

Department of Neurology, Duke University, Durham, NC, USA.

ALSUntangled reviews alternate and off-label treatments prompted by patient interest. Here, we review psilocybin, a chemical derived from mushrooms and belonging in the category of drugs known as psychedelics. Psilocybin has plausible mechanisms for slowing ALS progression because of its ability to cross the blood brain barrier and effect neurogenesis and inflammation.

View Article and Find Full Text PDF

Background: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in women of reproductive age. Body image distress (BID) refers to psychological distress caused by deviations in the individual's self-aesthetic ability. The objectives of this study are to investigate the prevalence of psychological distress; and to assess the role of anxiety in the relationship between body image distress and quality of life (QoL) among women with polycystic ovary syndrome using a path analysis approach.

View Article and Find Full Text PDF

Introduction: The three main sensory complications of Type 2 Diabetes are diabetic peripheral neuropathy (DPN), diabetic retinopathy (DR), and diabetic vestibulopathy (DV). Current screening for these has been found to be insufficient, and balance testing may be a way to improve screening practices. This study aims to assess if the presence of sensory complications can be used to predict balance scores.

View Article and Find Full Text PDF

IDyOMpy: A new Python-based model for statistical analysis of musical expectations.

J Neurosci Methods

December 2024

Laboratoire des Systèmes Perceptifs, Département d'Étude Cognitive, École Normale Supérieure, PSL, Paris, France; Institute for Systems Research, Electrical and Computer Engineering, University of Maryland, College Park, USA.

Background: IDyOM (Information Dynamics of Music) is the statistical model of music the most used in the community of neuroscience of music. It has been shown to allow for significant correlations with EEG (Marion, 2021), ECoG (Di Liberto, 2020) and fMRI (Cheung, 2019) recordings of human music listening. The language used for IDyOM -Lisp- is not very familiar to the neuroscience community and makes this model hard to use and more importantly to modify.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!