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Updated: May 26, 2025

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
Published on: February 7, 2014
Assessing the Validity of Computerized Algorithms for Determining Pulse Wave Velocity: A Clinical Study
Amira Tairi1, Hasan Obeid2, Saliha Addour2
1Division of Nephrology, Department of Medicine, CHU de Québec-Université Laval Research Center, Faculty of Medicine, Université Laval, Québec City, QC, Canada.
Introduction:
Aortic stiffness, assessed through carotid-femoral pulse wave velocity (PWV), has been associated with an increased risk of cardiovascular events and mortality. Measurements of PWV are based on the proper identification of the foot of the pulse waveform by either the maximum of the second-derivative method (as used in Complior) or the intersecting tangents algorithms (as used in SphygmoCor). These approaches can give different results, especially at higher PWV ranges. However, these devices also differ by signal acquisition technology, signal filtering, and quality control algorithms, making the true contribution of analytical algorithms uncertain. The aim of the present study was to identify the differences in pulse transit time (PTT) and PWV calculated by these two algorithms when provided with the same input signal.
Methods:
In 113 subjects, 346 recordings of 10 s were obtained using the Complior Analyse system (PWVComp-2nd). The pulse waves were imported into MATLAB and filtered (n = 4,102 pairs of pulse waves), where after inspection 3,770 pairs were available for determination of PTT using second-derivative and intersecting tangents algorithms (PTTMat-2nd and PTTMat-IT) and the respective PWVMat-2nd and PWVMat-IT for each pair. Additionally, the same pulse wave recordings were analyzed using the SphygmoCor system in simulation mode, employing the intersecting tangents algorithm (PWVSphyg-IT).
Results:
The mean beat-by-beat PTTMat-2nd and PTTMat-IT were 54.55 ± 18.55 ms (range 15.00-129.00) and 54.61 ± 18.61 ms (range 15.00-126.00) (p = 0.09), respectively. The mean per participant PWVMat-2nd and PWVMat-IT were 9.67 ± 3.46 m/s and 9.66 ± 3.4 m/s with a mean difference of 0.01 ± 0.32 m/s (p = 0.35). The PWVComp-2nd and PWVSphyg-IT were 9.48 ± 3.25 m/s and 9.59 ± 3.25 m/s with a mean difference of 0.11 ± 0.66 m/s (p = 0.04).
Conclusion:
The present study shows that the difference between the two algorithms is negligible across a wide range of PTT and hence does not support the need for adjusting PWV according to the algorithm used for determining PTT.
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