Modelling The Hemodynamics of Coronary Ischemia

Author:

Baraikan Abdulaziz Al12ORCID,Czechowicz Krzysztof1,Morris Paul D.1ORCID,Halliday Ian1,Gosling Rebecca C.1,Gunn Julian P.1ORCID,Narracott Andrew J.1,Williams Gareth1,Garg Pankaj134ORCID,Malawski Maciej5,Vosse Frans van de6,Lungu Angela7,Rafiroiu Dan7ORCID,Hose David Rodney1

Affiliation:

1. Department of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UK

2. College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Saudi Arabia

3. Norwich Medical School, University of East Anglia, Norfolk NR9 3LX, UK

4. Norfolk and Norwich University Hospital NHS Foundation Trust, Norfolk NR4 7UY, UK

5. Sano Centre for Computational Medicine, 30-072 Krakow, Poland

6. Biomedical Engineering Department, Eindhoven University of Technology, 5612AE Eindhoven, The Netherlands

7. Department of Electrotechnics and Measurements, Universitatea Tehnica Cluj-Napoca, 400114 Cluj, Romania

Abstract

Acting upon clinical patient data, acquired in the pathway of percutaneous intervention, we deploy hierarchical, multi-stage, data-handling protocols and interacting low- and high-order mathematical models (chamber elastance, state-space system and CFD models), to establish and then validate a framework to quantify the burden of ischaemia. Our core tool is a compartmental, zero-dimensional model of the coupled circulation with four heart chambers, systemic and pulmonary circulations and an optimally adapted windkessel model of the coronary arteries that reflects the diastolic dominance of coronary flow. We guide the parallel development of protocols and models by appealing to foundational physiological principles of cardiac energetics and a parameterisation (stenotic Bernoulli resistance and micro-vascular resistance) of patients’ coronary flow. We validate our process first with results which substantiate our protocols and, second, we demonstrate good correspondence between model operation and patient data. We conclude that our core model is capable of representing (patho)physiological states and discuss how it can potentially be deployed, on clinical data, to provide a quantitative assessment of the impact, on the individual, of coronary artery disease.

Funder

European Union’s Horizon 2020 research and innovation programme

International Research Agendas Programme of the Foundation for Polish Science

European Regional Development Fund

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference38 articles.

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4. A concentrated parameter model for the human cardiovascular system including heart valve dynamics and atrioventricular interaction;Korakianitis;Med. Eng. Phys.,2006

5. Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantole, S. (2008). Global Sensitivity Analysis: The Primer, John Wiley and Sons.

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