Model-based aortic power transfer: A potential measure for quantifying aortic stenosis severity based on measured data
•Power transfer efficiency from ventricle to aorta was estimated using a 0D model.•Aortic valve area variability explains non-trivial pressure-flow behaviour of the valve.•A data assimilation approach was used for estimating missing data and synchronization.•Power transfer efficiency is heterogeneou...
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Published in | Medical engineering & physics Vol. 90; pp. 66 - 81 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.04.2021
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Abstract | •Power transfer efficiency from ventricle to aorta was estimated using a 0D model.•Aortic valve area variability explains non-trivial pressure-flow behaviour of the valve.•A data assimilation approach was used for estimating missing data and synchronization.•Power transfer efficiency is heterogeneous and load-dependent.•Power transfer is a promising alternative measure in aortic stenosis grading.
Current aortic stenosis severity grading is based mainly on the local properties of the stenotic valve, such as pressure gradient or jet velocity. Success rates of valve replacement therapy are still suboptimal, so alternative grading of AS should be investigated. We suggest the efficiency of power transfer from the left ventricle to the aorta, as it takes into account heart, valve and circulatory system. Left ventricular and circulatory power were estimated using a 0D model, which was optimised to patient data: left ventricular and aortic pressure, aortic flow and diastolic left ventricular volume. Optimisation was performed using a data assimilation method. These data were available in rest as well as chemically induced exercise for twelve patients. Using this limited data set, we showed that aortic valve efficiency is highly heterogeneous between patients, but also often dependent on the haemodynamic load. This indicates that power transfer efficiency is a highly interesting metric for further research in aortic stenosis. |
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AbstractList | Current aortic stenosis severity grading is based mainly on the local properties of the stenotic valve, such as pressure gradient or jet velocity. Success rates of valve replacement therapy are still suboptimal, so alternative grading of AS should be investigated. We suggest the efficiency of power transfer from the left ventricle to the aorta, as it takes into account heart, valve and circulatory system. Left ventricular and circulatory power were estimated using a 0D model, which was optimised to patient data: left ventricular and aortic pressure, aortic flow and diastolic left ventricular volume. Optimisation was performed using a data assimilation method. These data were available in rest as well as chemically induced exercise for twelve patients. Using this limited data set, we showed that aortic valve efficiency is highly heterogeneous between patients, but also often dependent on the haemodynamic load. This indicates that power transfer efficiency is a highly interesting metric for further research in aortic stenosis. •Power transfer efficiency from ventricle to aorta was estimated using a 0D model.•Aortic valve area variability explains non-trivial pressure-flow behaviour of the valve.•A data assimilation approach was used for estimating missing data and synchronization.•Power transfer efficiency is heterogeneous and load-dependent.•Power transfer is a promising alternative measure in aortic stenosis grading. Current aortic stenosis severity grading is based mainly on the local properties of the stenotic valve, such as pressure gradient or jet velocity. Success rates of valve replacement therapy are still suboptimal, so alternative grading of AS should be investigated. We suggest the efficiency of power transfer from the left ventricle to the aorta, as it takes into account heart, valve and circulatory system. Left ventricular and circulatory power were estimated using a 0D model, which was optimised to patient data: left ventricular and aortic pressure, aortic flow and diastolic left ventricular volume. Optimisation was performed using a data assimilation method. These data were available in rest as well as chemically induced exercise for twelve patients. Using this limited data set, we showed that aortic valve efficiency is highly heterogeneous between patients, but also often dependent on the haemodynamic load. This indicates that power transfer efficiency is a highly interesting metric for further research in aortic stenosis. |
Author | Meiburg, R. Rutten, Marcel C.M. van de Vosse, Frans N. Zelis, Jo M. van Velthoven, Sjors J.A. Tonino, Pim. A.L. van ’t Veer, J. Marcel |
Author_xml | – sequence: 1 givenname: R. orcidid: 0000-0002-6688-0915 surname: Meiburg fullname: Meiburg, R. email: r.meiburg@tue.nl organization: Eindhoven University of Technology, Department of Biomedical Engineering, Postbus 513, Eindhoven 5600MB, the Netherlands – sequence: 2 givenname: Jo M. orcidid: 0000-0003-2110-4901 surname: Zelis fullname: Zelis, Jo M. organization: Catharina Hospital, Department of Cardiology, Eindhoven, the Netherlands – sequence: 3 givenname: J. Marcel surname: van ’t Veer fullname: van ’t Veer, J. Marcel organization: Eindhoven University of Technology, Department of Biomedical Engineering, Postbus 513, Eindhoven 5600MB, the Netherlands – sequence: 4 givenname: Sjors J.A. surname: van Velthoven fullname: van Velthoven, Sjors J.A. organization: Eindhoven University of Technology, Department of Biomedical Engineering, Postbus 513, Eindhoven 5600MB, the Netherlands – sequence: 5 givenname: Frans N. surname: van de Vosse fullname: van de Vosse, Frans N. organization: Eindhoven University of Technology, Department of Biomedical Engineering, Postbus 513, Eindhoven 5600MB, the Netherlands – sequence: 6 givenname: Pim. A.L. surname: Tonino fullname: Tonino, Pim. A.L. organization: Catharina Hospital, Department of Cardiology, Eindhoven, the Netherlands – sequence: 7 givenname: Marcel C.M. surname: Rutten fullname: Rutten, Marcel C.M. organization: Eindhoven University of Technology, Department of Biomedical Engineering, Postbus 513, Eindhoven 5600MB, the Netherlands |
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Cites_doi | 10.1002/phy2.159 10.1093/eurheartj/ehx391 10.1016/S0140-6736(06)69208-8 10.1056/NEJM199606273342604 10.1002/cnm.2692 10.1080/24748706.2019.1690180 10.1093/eurheartj/ehy107 10.1002/cnm.3388 10.1007/s11517-012-0966-9 10.1056/NEJMoa1816885 10.1093/eurheartj/ehy126 10.1161/01.CIR.92.6.1473 10.1007/s10237-020-01327-2 10.1056/NEJMoa1814052 10.1002/cnm.1466 10.1016/S0735-1097(02)02269-6 10.1098/rsif.2016.0513 10.1093/eurheartj/ehy244 10.1001/jama.2013.279194 10.1001/jamacardio.2018.3152 10.1007/s10439-006-9189-2 |
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Snippet | •Power transfer efficiency from ventricle to aorta was estimated using a 0D model.•Aortic valve area variability explains non-trivial pressure-flow behaviour... Current aortic stenosis severity grading is based mainly on the local properties of the stenotic valve, such as pressure gradient or jet velocity. Success... |
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Title | Model-based aortic power transfer: A potential measure for quantifying aortic stenosis severity based on measured data |
URI | https://dx.doi.org/10.1016/j.medengphy.2021.02.009 https://www.ncbi.nlm.nih.gov/pubmed/33781481 https://search.proquest.com/docview/2507153338 |
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