A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness.
Bottom Line: For each virtual subject, foot-to-foot PWV was computed from numerical pressure waveforms at the same locations where clinical measurements are commonly taken.Our numerical results confirm clinical observations: 1) carotid-femoral PWV is a good indicator of aortic stiffness and correlates well with aortic PWV; 2) brachial-ankle PWV overestimates aortic PWV and is related to the stiffness and geometry of both elastic and muscular arteries; and 3) muscular PWV (carotid-radial, femoral-ankle) does not capture the stiffening of the aorta and should therefore not be used as a surrogate for aortic stiffness.In addition, our analysis highlights that the foot-to-foot PWV algorithm is sensitive to the presence of reflected waves in late diastole, which introduce errors in the PWV estimates.
Affiliation: Division of Imaging Sciences and Biomedical Engineering, St. Thomas' Hospital, King's College London, London, United Kingdom; and firstname.lastname@example.org.Show MeSH
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Mentions: Changes in the seven varying parameters affect central and peripheral PWV values differently: Figure 5 presents the averaged relative sensitivity index Īi,k of the theoretical PWVth. As expected, the PWV parameters (cel and cmusc) induce large variations of the central and peripheral PWV: increasing cel (cmusc) leads to an increase of central (peripheral) PWV. Theoretical PWV indexes are relatively sensitive to the arterial diameters (Del and Dmusc) which cause an opposite change in PWV values, as indicated by negative and . Finally, HR, SV, and R have a negligible effect on central and peripheral PWV, since their corresponding sensitivity indexes ĪHR,k, ĪSV,k, and ĪR,k are, in absolute value, not larger than 7% for all PWVth.
Affiliation: Division of Imaging Sciences and Biomedical Engineering, St. Thomas' Hospital, King's College London, London, United Kingdom; and email@example.com.