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Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity

BACKGROUND: Pulse-wave velocity (PWV) measures aortic stiffness. It is an independent predictor of cardiovascular events and mortality, yet there is paucity in the literature on its association with the severity and extent of coronary artery disease (CAD). METHODS: To examine the utility of PWV in p...

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Autores principales: Chiha, Joseph, Mitchell, Paul, Gopinath, Bamini, Burlutsky, George, Plant, Adam, Kovoor, Pramesh, Thiagalingam, Aravinda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179020/
https://www.ncbi.nlm.nih.gov/pubmed/28005967
http://dx.doi.org/10.1371/journal.pone.0168598
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author Chiha, Joseph
Mitchell, Paul
Gopinath, Bamini
Burlutsky, George
Plant, Adam
Kovoor, Pramesh
Thiagalingam, Aravinda
author_facet Chiha, Joseph
Mitchell, Paul
Gopinath, Bamini
Burlutsky, George
Plant, Adam
Kovoor, Pramesh
Thiagalingam, Aravinda
author_sort Chiha, Joseph
collection PubMed
description BACKGROUND: Pulse-wave velocity (PWV) measures aortic stiffness. It is an independent predictor of cardiovascular events and mortality, yet there is paucity in the literature on its association with the severity and extent of coronary artery disease (CAD). METHODS: To examine the utility of PWV in predicting CAD burden in men and women the PWV was determined in 344 patients (Men = 266, Women = 78) presenting for invasive coronary angiography for the assessment of suspected CAD. Pearson correlations and multivariate analysis were used to evaluate the relationship between these coronary scores, PWV and traditional cardiovascular risk factors. RESULTS: Compared to men, women with chest pain had lower mean Extent scores (19.2 vs. 35.6; p = 0.0001) and Gensini scores (23.6 vs. 41.9; p = 0.0001). PWV was similar between men and women (12.35 ± 3.74 vs. 12.43 ± 4.58; p = 0.88) and correlated with Extent score (r = 0.21, p = 0.0001) but not Gensini or vessel score (r = 0.03, p = 0.64 and r = 0.06, p = 0.26, respectively). PWV was associated with Extent score in men (B = 2.25 ± 0.78, p = 0.004 for men and B = 1.50 ± 0.88, p = 0.09 for women). It was not a predictor of Gensini score (B = -0.10, P = 0.90). CONCLUSION: PWV correlates with the extent of CAD, as measured by the ‘Extent’ score in men more than women. However, it does not correlate with the severity of obstructive CAD in either gender.
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spelling pubmed-51790202017-01-04 Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity Chiha, Joseph Mitchell, Paul Gopinath, Bamini Burlutsky, George Plant, Adam Kovoor, Pramesh Thiagalingam, Aravinda PLoS One Research Article BACKGROUND: Pulse-wave velocity (PWV) measures aortic stiffness. It is an independent predictor of cardiovascular events and mortality, yet there is paucity in the literature on its association with the severity and extent of coronary artery disease (CAD). METHODS: To examine the utility of PWV in predicting CAD burden in men and women the PWV was determined in 344 patients (Men = 266, Women = 78) presenting for invasive coronary angiography for the assessment of suspected CAD. Pearson correlations and multivariate analysis were used to evaluate the relationship between these coronary scores, PWV and traditional cardiovascular risk factors. RESULTS: Compared to men, women with chest pain had lower mean Extent scores (19.2 vs. 35.6; p = 0.0001) and Gensini scores (23.6 vs. 41.9; p = 0.0001). PWV was similar between men and women (12.35 ± 3.74 vs. 12.43 ± 4.58; p = 0.88) and correlated with Extent score (r = 0.21, p = 0.0001) but not Gensini or vessel score (r = 0.03, p = 0.64 and r = 0.06, p = 0.26, respectively). PWV was associated with Extent score in men (B = 2.25 ± 0.78, p = 0.004 for men and B = 1.50 ± 0.88, p = 0.09 for women). It was not a predictor of Gensini score (B = -0.10, P = 0.90). CONCLUSION: PWV correlates with the extent of CAD, as measured by the ‘Extent’ score in men more than women. However, it does not correlate with the severity of obstructive CAD in either gender. Public Library of Science 2016-12-22 /pmc/articles/PMC5179020/ /pubmed/28005967 http://dx.doi.org/10.1371/journal.pone.0168598 Text en © 2016 Chiha et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chiha, Joseph
Mitchell, Paul
Gopinath, Bamini
Burlutsky, George
Plant, Adam
Kovoor, Pramesh
Thiagalingam, Aravinda
Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity
title Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity
title_full Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity
title_fullStr Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity
title_full_unstemmed Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity
title_short Prediction of Coronary Artery Disease Extent and Severity Using Pulse Wave Velocity
title_sort prediction of coronary artery disease extent and severity using pulse wave velocity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179020/
https://www.ncbi.nlm.nih.gov/pubmed/28005967
http://dx.doi.org/10.1371/journal.pone.0168598
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