Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness

Obeid, Hasan; Soulat, Gilles; Mousseaux, Élie; Laurent, Stéphane; Stergiopulos, Nikolaos; Boutouyrie, Pierre; Segers, Patrick

doi:10.1088/1361-6579/aa905a

Cited by 33 publications

(29 citation statements)

References 28 publications

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“…This novel comparison was possible once we had established that the outputs of the various instruments used to measure these vascular parameters were not only correlated, but that PWV measured by specific equipment, as well as AIx, could be interchanged regardless of the process used to obtain these values. Similar observations were reported by Obeid et al [37], who compared PWV values measured at various locations in the arterial tree. Overall, these findings indicate that it is feasible under certain circumstances to compare the arterial stiffness outcomes of studies employing different instruments with different output values, specifically in relation to PWV and AIx, even though evidence suggesting the contrary has been published [38].…”

Section: Discussionsupporting

confidence: 89%

“…Thus, the significance of stiffness in the different arteries, namely the aorta, the muscular arteries and those of the microcirculation, remains to be fully elucidated [42, 43]. Nonetheless, while the arterial bed (and therefore arterial size) used to acquire the data may have a direct bearing on the numerical outputs obtained with each instrument, and thus the cut-off value that separates healthy from unhealthy vessels, this study and others [37] indicate the high degree of correlation for PWV between instruments is independent of the locations used to take the measurements.…”

Section: Discussionmentioning

confidence: 99%

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Establishing the interchangeability of arterial stiffness but not endothelial function parameters in healthy individuals

Perrault

Omelchenko

Taylor

et al. 2019

BMC Cardiovasc Disord

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Background Development of instruments capable of detecting early stage vascular disease has increased interest in employing arterial stiffness (e.g. pulse wave velocity (PWV), augmentation index (AIx)) and endothelial dysfunction (e.g. reactive hyperemia index (RHI)) to diagnose atherosclerotic disease before occurrence of a cardiovascular event. However, amongst the equipment designed for this purpose, there is insufficient information regarding each of these parameters to establish appropriate cutoffs to distinguish between healthy and unhealthy blood vessels. To address these limitations, the study was designed to establish the upper arterial stiffness and endothelial function thresholds in a healthy population, by comparing the outputs from different instruments capable of measuring PWV, AIx and RHI. Methods A systematic comparison of PWV, AIx and RHI was conducted to determine the inter-relationships between these parameters of vascular functionality. Outputs were obtained non-invasively using three instruments, the VP-1000 (VP), SphygmoCor (SC), and EndoPAT (EP), in 40 apparently healthy males and females. Results Correlations were found between the brachial-ankle PWV and radial-ankle PWV (by VP and SC), and PWV (VP) with AIx (SC). The interchangeability of these outputs was demonstrated by the Bland Altman test, making it feasible to extrapolate cut-offs for radial-ankle PWV and AIx equivalent to brachial-ankle PWV that signify healthy vessels. In contrast, RHI showed no association with AIx, suggesting these endothelial and arterial parameters are functionally distinct. Conclusions It was concluded that it is possible to compare the vascular function outputs of different instruments and identify healthy from unhealthy vessels, even though the approaches for quantifying the underlying physiological processes may differ. In this way, non-invasive determination of arterial function could be a new paradigm for detecting existing early stage asymptomatic atherosclerotic disease in individuals using techniques that are amenable to the clinical setting. Electronic supplementary material The online version of this article (10.1186/s12872-019-1167-3) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Establishing the interchangeability of arterial stiffness but not endothelial function parameters in healthy individuals

Perrault

Omelchenko

Taylor

et al. 2019

BMC Cardiovasc Disord

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“…The pulse wave velocity (PWV) is a common measure to estimate arterial stiffness (Obeid et al. 2017). There are a few variations in pulse wave velocity determination, such as the carotid–femoral, heart–ankle, brachial–ankle and finger–toe methods.…”

Section: Methodsmentioning

confidence: 99%

A data-driven model to study utero-ovarian blood flow physiology during pregnancy

Carson

Lewis

Rassi

et al. 2019

Biomech Model Mechanobiol

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In this paper, we describe a mathematical model of the cardiovascular system in human pregnancy. An automated, closed-loop 1D–0D modelling framework was developed, and we demonstrate its efficacy in (1) reproducing measured multi-variate cardiovascular variables (pulse pressure, total peripheral resistance and cardiac output) and (2) providing automated estimates of variables that have not been measured (uterine arterial and venous blood flow, pulse wave velocity, pulsatility index). This is the first model capable of estimating volumetric blood flow to the uterus via the utero-ovarian communicating arteries. It is also the first model capable of capturing wave propagation phenomena in the utero-ovarian circulation, which are important for the accurate estimation of arterial stiffness in contemporary obstetric practice. The model will provide a basis for future studies aiming to elucidate the physiological mechanisms underlying the dynamic properties (changing shapes) of vascular flow waveforms that are observed with advancing gestation. This in turn will facilitate the development of methods for the earlier detection of pathologies that have an influence on vascular structure and behaviour. Electronic supplementary material The online version of this article (10.1007/s10237-019-01135-3) contains supplementary material, which is available to authorised users.

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“…These were observed in a set of pulse wave simulations in which resistance, heart cycle length, and maximal heart elastance were varied (Fig. 5 of [ 1 ]). The strong correlations in this set of simulations, hereafter set (a), suggest that under these conditions peripheral PTTs could be used to estimate aPTT.…”

mentioning

confidence: 86%

Comment on ‘Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness’

et al. 2018

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Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness

Abstract: In conclusion, our computer model-based analyses demonstrate that for PWV methods based on peripheral signals, pulse transit time differences closely correlate with the aortic transit time, supporting the use of these methods in clinical practice.

Cited by 33 publications

References 28 publications

Establishing the interchangeability of arterial stiffness but not endothelial function parameters in healthy individuals

Establishing the interchangeability of arterial stiffness but not endothelial function parameters in healthy individuals

A data-driven model to study utero-ovarian blood flow physiology during pregnancy

Comment on ‘Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness’

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