Computational assessment of blood flow heterogeneity in dialysis patients’ cardiac ventricles
S. R. Kharche, A. So, F. Salerno, T.-Y. Lee, C. Ellis, D. Goldman, C. W. McIntyre
Abstract
Dialysis prolongs life but augments cardiovascular mortality. Imaging data suggests that dialysis increases myocardial blood flow (BF) heterogeneity, but its causes remain poorly understood. A biophysical model of human coronary vasculature was used to explain the imaging observations, and highlight causes of coronary BF heterogeneity.\n\nPost-dialysis CT images from patients under control, pharmacological stress (adenosine), therapy (cooled dialysate), and adenosine and cooled dialysate conditions were obtained. The data presented disparate phenotypes. To dissect vascular mechanisms, a 3D human coronary vasculature model was implemented. Simulations were performed to investigate the effects of altered aortic pressure and blood vessel diameters on myocardial BF heterogeneity which was quantified using relative dispersion, fractal dimension, and transmural BF distribution.\n\nImaging showed that stress and therapy potentially increased mean and total BF, while reducing heterogeneity. BF histograms of one patient showed multi-modality. Using the model, it was found that total coronary BF increased as coronary perfusion pressure (CPP) was increased. BF heterogeneity was differentially affected by large or small vessel blocking. BF heterogeneity was found to be inversely related to small blood vessel diameters. Simulation of large artery stenosis indicates that BF became heterogeneous (increase relative dispersion) and gave multi-modal histograms. The total transmural BF as well as transmural BF heterogeneity reduced due to large artery stenosis, generating large patches of very low O_SCPCAPBFC_SCPCAP regions downstream. Blocking of arteries at various orders showed that blocking larger arteries results in multi-modal BF histograms and large patches of low BF, whereas smaller artery blocking results in augmented relative dispersion and fractal dimension. Transmural heterogeneity was also affected. Finally, the effects of augmented aortic pressure in the presence of blood vessel blocking shows differential effects on BF heterogeneity as well as transmural BF.\n\nImproved aortic blood pressure may lead to improved BF. Stress and therapy may be effective if they dilate small vessels. A potential cause for the observed complex BF distributions (multi-modal BF histograms) may indicate existing large vessel stenosis.\n\nThe intuitive BF heterogeneity methods used can be readily used in clinical studies. Further development of the model and methods will permit personalised assessment of patient BF status.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Modeling cardiac microcirculation for the simulation of coronary flow and 3D myocardial perfusion
Giovanni Montino Pelagi, Francesco Regazzoni, … Christian Vergara·Biomechanics and Modeling in MechanobiologyPeer-reviewed·Jul 12, 2024
- Computational assessment of arrhythmia potential in the heterogeneously perfused ventricle
Sanjay R Kharche, Christopher W McIntyre·bioRxiv·Apr 14, 2018
- Remodeled cephalic arch geometry promotes disturbed flow at pre-maturation flow rates in hemodialysis patients
Dylan Cook, Sanjeev S. Dhara, … Mary S. Hammes·bioRxiv·Jul 27, 2026
- Investigation of hemodynamic bulk flow patterns caused by aortic stenosis using a combined 4D Flow MRI-CFD framework
Tianai Wang, Christine Quast, … Michael Neidlin·PLoS Computational BiologyPeer-reviewed·Mar 27, 2025
- Using a Human Circulation Mathematical Model to Simulate the Effects of Hemodialysis and Therapeutic Hypothermia.
J. J. Joseph, T. J. Hunter, … C. W. McIntyre·bioRxiv·Feb 11, 2021
- A fast computational model for circulatory dynamics:Effects of left ventricle-aorta coupling
M. J. Moulton, T. W. Secomb·bioRxiv·Nov 6, 2022