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

While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness, peripheral foot-to-foot PWV (brachial-ankle, femoral-ankle, and carotid-radial) are being studied as substitutes of this central measurement....

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Published inAmerican journal of physiology. Heart and circulatory physiology Vol. 309; no. 4; pp. H663 - H675
Main Authors Willemet, Marie, Chowienczyk, Phil, Alastruey, Jordi
Format Journal Article
LanguageEnglish
Published United States American Physiological Society 15.08.2015
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ISSN0363-6135
1522-1539
1522-1539
DOI10.1152/ajpheart.00175.2015

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Abstract While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness, peripheral foot-to-foot PWV (brachial-ankle, femoral-ankle, and carotid-radial) are being studied as substitutes of this central measurement. We present a novel methodology to assess theoretically these computed indexes and the hemodynamics mechanisms relating them. We created a database of 3,325 virtual healthy adult subjects using a validated one-dimensional model of the arterial hemodynamics, with cardiac and arterial parameters varied within physiological healthy ranges. 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. 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.
AbstractList While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness, peripheral foot-to-foot PWV (brachial-ankle, femoral-ankle, and carotid-radial) are being studied as substitutes of this central measurement. We present a novel methodology to assess theoretically these computed indexes and the hemodynamics mechanisms relating them. We created a database of 3,325 virtual healthy adult subjects using a validated one-dimensional model of the arterial hemodynamics, with cardiac and arterial parameters varied within physiological healthy ranges. 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. 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.While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness, peripheral foot-to-foot PWV (brachial-ankle, femoral-ankle, and carotid-radial) are being studied as substitutes of this central measurement. We present a novel methodology to assess theoretically these computed indexes and the hemodynamics mechanisms relating them. We created a database of 3,325 virtual healthy adult subjects using a validated one-dimensional model of the arterial hemodynamics, with cardiac and arterial parameters varied within physiological healthy ranges. 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. 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.
While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness, peripheral foot-to-foot PWV (brachial-ankle, femoral-ankle, and carotid-radial) are being studied as substitutes of this central measurement. We present a novel methodology to assess theoretically these computed indexes and the hemodynamics mechanisms relating them. We created a database of 3,325 virtual healthy adult subjects using a validated one-dimensional model of the arterial hemodynamics, with cardiac and arterial parameters varied within physiological healthy ranges. 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. 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.
This work presents a new methodology for the theoretical assessment of computed physiological indexes and algorithms based on pulse wave analysis. We created a database of virtual healthy subjects using a 1D model of the arterial hemodynamics. This study presents its application to central and peripheral foot-to-foot pulse wave velocities . While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness, peripheral foot-to-foot PWV (brachial-ankle, femoral-ankle, and carotid-radial) are being studied as substitutes of this central measurement. We present a novel methodology to assess theoretically these computed indexes and the hemodynamics mechanisms relating them. We created a database of 3,325 virtual healthy adult subjects using a validated one-dimensional model of the arterial hemodynamics, with cardiac and arterial parameters varied within physiological healthy ranges. 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. 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.
Author Alastruey, Jordi
Willemet, Marie
Chowienczyk, Phil
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  surname: Chowienczyk
  fullname: Chowienczyk, Phil
  organization: Department of Clinical Pharmacology, St Thomas' Hospital, King's College London, London, United Kingdom
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  surname: Alastruey
  fullname: Alastruey, Jordi
  organization: Division of Imaging Sciences and Biomedical Engineering, St. Thomas' Hospital, King's College London, London, United Kingdom; and
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26055792$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1001/jama.300.2.197
10.1016/j.medengphy.2011.04.003
10.1002/cnm.1117
10.1097/HJH.0b013e32832e94e7
10.1152/ajpheart.00570.2010
10.1016/j.jacc.2009.10.061
10.1038/sj.jhh.1002259
10.1161/01.HYP.26.1.48
10.1007/s10439-012-0688-z
10.1016/j.medengphy.2013.04.012
10.1161/HYPERTENSIONAHA.112.194779
10.1017/CBO9781139013406
10.1080/10255840600857767
10.1114/1.1326031
10.1016/j.jbiomech.2007.05.027
10.1016/S0950-821X(05)80127-6
10.1161/01.HYP.35.2.637
10.1152/ajpheart.1979.237.5.H550
10.1161/01.HYP.33.5.1111
10.1093/eurheartj/ehq165
10.1016/j.jbiomech.2010.12.002
10.1161/HYPERTENSIONAHA.109.134379
10.1161/01.HYP.37.5.1236
10.1161/01.CIR.96.1.308
10.1016/j.medengphy.2010.06.010
10.1016/S0301-5629(97)00082-3
10.1152/ajpheart.00037.2009
10.1016/S0895-7061(01)02319-6
10.1161/01.CIR.80.6.1652
10.1097/HJH.0b013e3280115bea
10.1152/ajpheart.00821.2010
10.1109/TBME.2003.812201
10.1016/j.jbiomech.2011.05.041
10.1093/eurheartj/ehl254
10.1016/j.jbiomech.2007.09.014
10.1109/EMBC.2014.6943999
10.1161/01.CIR.82.1.114
10.1161/01.HYP.0000128420.01881.aa
10.1177/1358863X07083392
10.1291/hypres.29.989
10.1007/s10439-010-9945-1
10.2174/157340212800840708
10.1161/01.HYP.0000154229.97341.d2
10.1017/S0022112007005344
10.1016/j.jbiomech.2012.03.028
10.1186/1471-2261-14-5
10.1007/s10439-013-0854-y
10.1097/00004872-199208001-00023
10.1016/j.jcmg.2008.06.010
10.1016/j.jbiomech.2013.10.007
10.1038/sj.jhh.1001838
10.2337/diacare.26.7.2133
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Keywords numerical 1D model
aortic stiffness
brachial-ankle PWV
database of virtual subjects
carotid-femoral PWV
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References Avolio AP (B6) 1985; 71
B20
B21
B22
B23
B24
B25
B26
B27
B28
B29
B30
B31
B32
B33
B35
B36
B37
B38
B39
B1
B2
B3
B5
B7
B8
B9
B40
B41
B42
Nichols WW (B34) 2005
B43
Alastruey J (B4) 2012
B44
B45
B46
B47
B48
B49
B50
B51
B52
B53
B10
B54
B11
B55
B12
B13
B14
B15
B16
B17
B18
B19
References_xml – ident: B16
  doi: 10.1001/jama.300.2.197
– ident: B28
  doi: 10.1016/j.medengphy.2011.04.003
– ident: B33
  doi: 10.1002/cnm.1117
– ident: B46
  doi: 10.1097/HJH.0b013e32832e94e7
– ident: B50
  doi: 10.1152/ajpheart.00570.2010
– ident: B52
  doi: 10.1016/j.jacc.2009.10.061
– ident: B55
  doi: 10.1038/sj.jhh.1002259
– ident: B5
  doi: 10.1161/01.HYP.26.1.48
– ident: B45
  doi: 10.1007/s10439-012-0688-z
– ident: B54
  doi: 10.1016/j.medengphy.2013.04.012
– ident: B53
  doi: 10.1161/HYPERTENSIONAHA.112.194779
– ident: B14
  doi: 10.1017/CBO9781139013406
– ident: B18
  doi: 10.1080/10255840600857767
– ident: B35
  doi: 10.1114/1.1326031
– ident: B29
  doi: 10.1016/j.jbiomech.2007.05.027
– ident: B41
  doi: 10.1016/S0950-821X(05)80127-6
– ident: B51
  doi: 10.1161/01.HYP.35.2.637
– volume-title: McDonald's Blood Flow in Arteries. Theoretical, Experimental and Clinical Principles
  year: 2005
  ident: B34
– ident: B40
  doi: 10.1152/ajpheart.1979.237.5.H550
– ident: B10
  doi: 10.1161/01.HYP.33.5.1111
– ident: B47
  doi: 10.1093/eurheartj/ehq165
– ident: B2
  doi: 10.1016/j.jbiomech.2010.12.002
– ident: B7
  doi: 10.1161/HYPERTENSIONAHA.109.134379
– ident: B25
  doi: 10.1161/01.HYP.37.5.1236
– ident: B19
  doi: 10.1161/01.CIR.96.1.308
– ident: B27
  doi: 10.1016/j.medengphy.2010.06.010
– ident: B1
  doi: 10.1016/S0301-5629(97)00082-3
– volume: 71
  start-page: 202
  year: 1985
  ident: B6
  publication-title: Hypertension
– ident: B38
  doi: 10.1152/ajpheart.00037.2009
– ident: B37
  doi: 10.1016/S0895-7061(01)02319-6
– ident: B24
  doi: 10.1161/01.CIR.80.6.1652
– ident: B48
  doi: 10.1097/HJH.0b013e3280115bea
– ident: B39
  doi: 10.1152/ajpheart.00821.2010
– ident: B42
  doi: 10.1109/TBME.2003.812201
– ident: B3
  doi: 10.1016/j.jbiomech.2011.05.041
– ident: B26
  doi: 10.1093/eurheartj/ehl254
– ident: B9
  doi: 10.1016/j.jbiomech.2007.09.014
– ident: B17
  doi: 10.1109/EMBC.2014.6943999
– ident: B21
  doi: 10.1161/01.CIR.82.1.114
– ident: B31
  doi: 10.1161/01.HYP.0000128420.01881.aa
– ident: B36
  doi: 10.1177/1358863X07083392
– ident: B23
  doi: 10.1291/hypres.29.989
– ident: B49
  doi: 10.1007/s10439-010-9945-1
– ident: B32
  doi: 10.2174/157340212800840708
– ident: B30
  doi: 10.1161/01.HYP.0000154229.97341.d2
– ident: B8
  doi: 10.1017/S0022112007005344
– ident: B22
  doi: 10.1016/j.jbiomech.2012.03.028
– ident: B15
  doi: 10.1186/1471-2261-14-5
– start-page: 401
  volume-title: 11th International Conference on Pressure Surges
  year: 2012
  ident: B4
– ident: B20
  doi: 10.1007/s10439-013-0854-y
– ident: B12
  doi: 10.1097/00004872-199208001-00023
– ident: B44
  doi: 10.1016/j.jcmg.2008.06.010
– ident: B11
  doi: 10.1016/j.jbiomech.2013.10.007
– ident: B43
  doi: 10.1038/sj.jhh.1001838
– ident: B13
  doi: 10.2337/diacare.26.7.2133
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Snippet While central (carotid-femoral) foot-to-foot pulse wave velocity (PWV) is considered to be the gold standard for the estimation of aortic arterial stiffness,...
This work presents a new methodology for the theoretical assessment of computed physiological indexes and algorithms based on pulse wave analysis. We created a...
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StartPage H663
SubjectTerms Adult
Aged
Algorithms
Aorta - physiology
Coronary vessels
Datasets as Topic
Female
Geometry
Healthy Volunteers
Humans
Integrative Cardiovascular Physiology and Pathophysiology
Male
Middle Aged
Physiology
Pulse Wave Analysis - methods
Pulse Wave Analysis - standards
Signal-To-Noise Ratio
Vascular Stiffness
Velocity
Title A database of virtual healthy subjects to assess the accuracy of foot-to-foot pulse wave velocities for estimation of aortic stiffness
URI https://www.ncbi.nlm.nih.gov/pubmed/26055792
https://www.proquest.com/docview/1704743514
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https://pubmed.ncbi.nlm.nih.gov/PMC4537944
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