TY - JOUR
T1 - Model-based aortic power transfer
T2 - A potential measure for quantifying aortic stenosis severity based on measured data
AU - Meiburg, Roel
AU - Zelis, Jo M.
AU - van 't Veer, Marcel
AU - van Velthoven, Sjors J.A.
AU - van de Vosse, Frans N.
AU - Tonino), W.A.L. (Pim)
AU - Rutten, Marcel C.M.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102132072&partnerID=8YFLogxK
U2 - 10.1016/j.medengphy.2021.02.009
DO - 10.1016/j.medengphy.2021.02.009
M3 - Article
C2 - 33781481
VL - 90
SP - 66
EP - 81
JO - Medical Engineering & Physics
JF - Medical Engineering & Physics
SN - 1350-4533
ER -