Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782485297670389760 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5179020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chihajoseph predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity AT mitchellpaul predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity AT gopinathbamini predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity AT burlutskygeorge predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity AT plantadam predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity AT kovoorpramesh predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity AT thiagalingamaravinda predictionofcoronaryarterydiseaseextentandseverityusingpulsewavevelocity |