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A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness.

Willemet M, Chowienczyk P, Alastruey J - Am. J. Physiol. Heart Circ. Physiol. (2015)

Bottom Line: 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.In this study, we have created a database of virtual healthy subjects, which can be used to assess theoretically the efficiency of physiological indexes based on pulse wave analysis.

View Article: PubMed Central - PubMed

Affiliation: Division of Imaging Sciences and Biomedical Engineering, St. Thomas' Hospital, King's College London, London, United Kingdom; and marie.willemet@gmail.com.

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Relation between foot-to-foot PWV and the variation of the elastic modulus of elastic arteries (Eel); carotid-femoral PWV (cfPWV; A) and the brachial-ankle PWV (baPWV; B). Each dot represents 1 virtual subject from the database.
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Figure 11: Relation between foot-to-foot PWV and the variation of the elastic modulus of elastic arteries (Eel); carotid-femoral PWV (cfPWV; A) and the brachial-ankle PWV (baPWV; B). Each dot represents 1 virtual subject from the database.

Mentions: Figure 11 relates the elastic modulus of elastic arteries (Eel) to both cfPWV (A) and baPWV (B). We observe a distinct increase in cfPWV with increasing Eel. Despite baPWV also raising with increasing Eel, we observe more dispersion of the values of this peripheral index.


A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness.

Willemet M, Chowienczyk P, Alastruey J - Am. J. Physiol. Heart Circ. Physiol. (2015)

Relation between foot-to-foot PWV and the variation of the elastic modulus of elastic arteries (Eel); carotid-femoral PWV (cfPWV; A) and the brachial-ankle PWV (baPWV; B). Each dot represents 1 virtual subject from the database.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4537944&req=5

Figure 11: Relation between foot-to-foot PWV and the variation of the elastic modulus of elastic arteries (Eel); carotid-femoral PWV (cfPWV; A) and the brachial-ankle PWV (baPWV; B). Each dot represents 1 virtual subject from the database.
Mentions: Figure 11 relates the elastic modulus of elastic arteries (Eel) to both cfPWV (A) and baPWV (B). We observe a distinct increase in cfPWV with increasing Eel. Despite baPWV also raising with increasing Eel, we observe more dispersion of the values of this peripheral index.

Bottom Line: 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.In this study, we have created a database of virtual healthy subjects, which can be used to assess theoretically the efficiency of physiological indexes based on pulse wave analysis.

View Article: PubMed Central - PubMed

Affiliation: Division of Imaging Sciences and Biomedical Engineering, St. Thomas' Hospital, King's College London, London, United Kingdom; and marie.willemet@gmail.com.

Show MeSH
Related in: MedlinePlus