Modelling The Hemodynamics of Coronary Ischemia
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 frame...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Fluids |
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| Online Access: | https://www.mdpi.com/2311-5521/8/5/159 |
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| author | Abdulaziz Al Baraikan Krzysztof Czechowicz Paul D. Morris Ian Halliday Rebecca C. Gosling Julian P. Gunn Andrew J. Narracott Gareth Williams Pankaj Garg Maciej Malawski Frans van de Vosse Angela Lungu Dan Rafiroiu David Rodney Hose |
| author_facet | Abdulaziz Al Baraikan Krzysztof Czechowicz Paul D. Morris Ian Halliday Rebecca C. Gosling Julian P. Gunn Andrew J. Narracott Gareth Williams Pankaj Garg Maciej Malawski Frans van de Vosse Angela Lungu Dan Rafiroiu David Rodney Hose |
| author_sort | Abdulaziz Al Baraikan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T03:44:38Z |
| format | Article |
| id | doaj.art-60af9157f2b847768b7ff602f26e11ae |
| institution | Directory Open Access Journal |
| issn | 2311-5521 |
| language | English |
| last_indexed | 2024-03-11T03:44:38Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fluids |
| spelling | doaj.art-60af9157f2b847768b7ff602f26e11ae2023-11-18T01:20:29ZengMDPI AGFluids2311-55212023-05-018515910.3390/fluids8050159Modelling The Hemodynamics of Coronary IschemiaAbdulaziz Al Baraikan0Krzysztof Czechowicz1Paul D. Morris2Ian Halliday3Rebecca C. Gosling4Julian P. Gunn5Andrew J. Narracott6Gareth Williams7Pankaj Garg8Maciej Malawski9Frans van de Vosse10Angela Lungu11Dan Rafiroiu12David Rodney Hose13Department of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKSano Centre for Computational Medicine, 30-072 Krakow, PolandBiomedical Engineering Department, Eindhoven University of Technology, 5612AE Eindhoven, The NetherlandsDepartment of Electrotechnics and Measurements, Universitatea Tehnica Cluj-Napoca, 400114 Cluj, RomaniaDepartment of Electrotechnics and Measurements, Universitatea Tehnica Cluj-Napoca, 400114 Cluj, RomaniaDepartment of Infection, Immunity and Cardiovascular Disease, The Medical School, Sheffield S10 2RX, UKActing 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.https://www.mdpi.com/2311-5521/8/5/159haemodynamicscompartmental modelsparameter identificationfluid dynamics |
| spellingShingle | Abdulaziz Al Baraikan Krzysztof Czechowicz Paul D. Morris Ian Halliday Rebecca C. Gosling Julian P. Gunn Andrew J. Narracott Gareth Williams Pankaj Garg Maciej Malawski Frans van de Vosse Angela Lungu Dan Rafiroiu David Rodney Hose Modelling The Hemodynamics of Coronary Ischemia Fluids haemodynamics compartmental models parameter identification fluid dynamics |
| title | Modelling The Hemodynamics of Coronary Ischemia |
| title_full | Modelling The Hemodynamics of Coronary Ischemia |
| title_fullStr | Modelling The Hemodynamics of Coronary Ischemia |
| title_full_unstemmed | Modelling The Hemodynamics of Coronary Ischemia |
| title_short | Modelling The Hemodynamics of Coronary Ischemia |
| title_sort | modelling the hemodynamics of coronary ischemia |
| topic | haemodynamics compartmental models parameter identification fluid dynamics |
| url | https://www.mdpi.com/2311-5521/8/5/159 |
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