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

Hasan Obeid, Gilles Soulat, Elie Mousseaux, Stephane Laurent, Nikos Stergiopulos, Pierre Boutouyrie and Patrick Segers UGent (2017) PHYSIOLOGICAL MEASUREMENT. 38(11). p.1953-1967
abstract
Pulse waveform analyses have become established components of cardiovascular research. Recently several methods have been proposed as tools to measure aortic pulse wave velocity (aPWV). The carotid-femoral pulse wave velocity (cf-PWV), the current clinical gold standard method for the noninvasive assessment of aPWV, uses the carotid-to-femoral pulse transit time difference (cf-PTT) and an estimated path length to derive cf-PWV. Objective: The heart-ankle PWV (ha-PWV), brachial-ankle PWV (ba-PWV) and finger-toe (ft-PWV) are also methods presuming to approximate aPWV based on time delays between physiological cardiovascular signals at two locations (similar to heart-ankle PTT, ha-PTT; similar to brachial-ankle PTT, ba-PTT; similar to finger-toe PTT, ft-PTT) and a path length typically derived from the subject's height. To test the validity of these methods, we used a detailed 1D arterial network model (143 arterial segments) including the foot and hand circulation. Approach: The arterial tree dimensions and properties were taken from the literature and completed with data from patient scans. We calculated PTTs with all the methods mentioned above. The calculated PTTs were compared with the aortic PTT (aPTT), which is considered as the absolute reference method in this study. Main results: The correlation between methods and aPTT was good and significant, cf-PTT (R-2 = 0.97; P < 0.001; mean difference 5 +/- 2 ms), ha-PTT (R-2 = 0.96; P < 0.001; 150 +/- 23 ms), ba-PTT (R-2 = 0.96; P < 0.001; 70 +/- 13 ms) and ft-PTT (R-2 = 0.95; P < 0.001; 14 +/- 10 ms). Consequently, good correlation was also observed for the PWV values derived with the tested methods, but absolute values differed because of the different path lengths used. Significance: 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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
keyword
EXPERT CONSENSUS DOCUMENT, STAGE RENAL-DISEASE, ARTERIAL STIFFNESS, CARDIOVASCULAR EVENTS, HEART-RATE, ALL-CAUSE, MORTALITY, INDEX, VALIDATION, METAANALYSIS, numerical arterial model, pulse transit time, hemodynamic signals
journal title
PHYSIOLOGICAL MEASUREMENT
Physiol. Meas.
volume
38
issue
11
pages
15 pages
publisher
Iop Publishing Ltd
place of publication
Bristol
Web of Science type
Article
Web of Science id
000414176400003
ISSN
0967-3334
1361-6579
DOI
10.1088/1361-6579/aa905a
language
English
UGent publication?
yes
classification
A1
copyright statement
I don't know the status of the copyright for this publication
id
8547091
handle
http://hdl.handle.net/1854/LU-8547091
date created
2018-01-31 18:00:39
date last changed
2018-02-13 14:50:09
@article{8547091,
  abstract     = {Pulse waveform analyses have become established components of cardiovascular research. Recently several methods have been proposed as tools to measure aortic pulse wave velocity (aPWV). The carotid-femoral pulse wave velocity (cf-PWV), the current clinical gold standard method for the noninvasive assessment of aPWV, uses the carotid-to-femoral pulse transit time difference (cf-PTT) and an estimated path length to derive cf-PWV. Objective: The heart-ankle PWV (ha-PWV), brachial-ankle PWV (ba-PWV) and finger-toe (ft-PWV) are also methods presuming to approximate aPWV based on time delays between physiological cardiovascular signals at two locations (similar to heart-ankle PTT, ha-PTT; similar to brachial-ankle PTT, ba-PTT; similar to finger-toe PTT, ft-PTT) and a path length typically derived from the subject's height. To test the validity of these methods, we used a detailed 1D arterial network model (143 arterial segments) including the foot and hand circulation. Approach: The arterial tree dimensions and properties were taken from the literature and completed with data from patient scans. We calculated PTTs with all the methods mentioned above. The calculated PTTs were compared with the aortic PTT (aPTT), which is considered as the absolute reference method in this study. Main results: The correlation between methods and aPTT was good and significant, cf-PTT (R-2 = 0.97; P {\textlangle} 0.001; mean difference 5 +/- 2 ms), ha-PTT (R-2 = 0.96; P {\textlangle} 0.001; 150 +/- 23 ms), ba-PTT (R-2 = 0.96; P {\textlangle} 0.001; 70 +/- 13 ms) and ft-PTT (R-2 = 0.95; P {\textlangle} 0.001; 14 +/- 10 ms). Consequently, good correlation was also observed for the PWV values derived with the tested methods, but absolute values differed because of the different path lengths used. Significance: 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.},
  author       = {Obeid, Hasan and Soulat, Gilles and Mousseaux, Elie and Laurent, Stephane and Stergiopulos, Nikos and Boutouyrie, Pierre and Segers, Patrick},
  issn         = {0967-3334},
  journal      = {PHYSIOLOGICAL MEASUREMENT},
  keyword      = {EXPERT CONSENSUS DOCUMENT,STAGE RENAL-DISEASE,ARTERIAL STIFFNESS,CARDIOVASCULAR EVENTS,HEART-RATE,ALL-CAUSE,MORTALITY,INDEX,VALIDATION,METAANALYSIS,numerical arterial model,pulse transit time,hemodynamic signals},
  language     = {eng},
  number       = {11},
  pages        = {1953--1967},
  publisher    = {Iop Publishing Ltd},
  title        = {Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness},
  url          = {http://dx.doi.org/10.1088/1361-6579/aa905a},
  volume       = {38},
  year         = {2017},
}

Chicago
Obeid, Hasan, Gilles Soulat, Elie Mousseaux, Stephane Laurent, Nikos Stergiopulos, Pierre Boutouyrie, and Patrick Segers. 2017. “Numerical Assessment and Comparison of Pulse Wave Velocity Methods Aiming at Measuring Aortic Stiffness.” Physiological Measurement 38 (11): 1953–1967.
APA
Obeid, H., Soulat, G., Mousseaux, E., Laurent, S., Stergiopulos, N., Boutouyrie, P., & Segers, P. (2017). Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness. PHYSIOLOGICAL MEASUREMENT, 38(11), 1953–1967.
Vancouver
1.
Obeid H, Soulat G, Mousseaux E, Laurent S, Stergiopulos N, Boutouyrie P, et al. Numerical assessment and comparison of pulse wave velocity methods aiming at measuring aortic stiffness. PHYSIOLOGICAL MEASUREMENT. Bristol: Iop Publishing Ltd; 2017;38(11):1953–67.
MLA
Obeid, Hasan, Gilles Soulat, Elie Mousseaux, et al. “Numerical Assessment and Comparison of Pulse Wave Velocity Methods Aiming at Measuring Aortic Stiffness.” PHYSIOLOGICAL MEASUREMENT 38.11 (2017): 1953–1967. Print.