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Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease

BACKGROUND: Extremes of wall shear stress (WSS) have been associated with plaque progression and transformation, which has raised interest in the clinical assessment of WSS. We hypothesized that calculated coronary WSS is predicted only partially by luminal geometry and that WSS is related to plaque...

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Autores principales: Eshtehardi, Parham, McDaniel, Michael C., Suo, Jin, Dhawan, Saurabh S., Timmins, Lucas H., Binongo, José Nilo G., Golub, Lucas J., Corban, Michel T., Finn, Aloke V., Oshinski, John N., Quyyumi, Arshed A., Giddens, Don P., Samady, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487351/
https://www.ncbi.nlm.nih.gov/pubmed/23130168
http://dx.doi.org/10.1161/JAHA.112.002543
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author Eshtehardi, Parham
McDaniel, Michael C.
Suo, Jin
Dhawan, Saurabh S.
Timmins, Lucas H.
Binongo, José Nilo G.
Golub, Lucas J.
Corban, Michel T.
Finn, Aloke V.
Oshinski, John N.
Quyyumi, Arshed A.
Giddens, Don P.
Samady, Habib
author_facet Eshtehardi, Parham
McDaniel, Michael C.
Suo, Jin
Dhawan, Saurabh S.
Timmins, Lucas H.
Binongo, José Nilo G.
Golub, Lucas J.
Corban, Michel T.
Finn, Aloke V.
Oshinski, John N.
Quyyumi, Arshed A.
Giddens, Don P.
Samady, Habib
author_sort Eshtehardi, Parham
collection PubMed
description BACKGROUND: Extremes of wall shear stress (WSS) have been associated with plaque progression and transformation, which has raised interest in the clinical assessment of WSS. We hypothesized that calculated coronary WSS is predicted only partially by luminal geometry and that WSS is related to plaque composition. METHODS AND RESULTS: Twenty‐seven patients with coronary artery disease underwent virtual histology intravascular ultrasound and Doppler velocity measurement for computational fluid dynamics modeling for WSS calculation in each virtual histology intravascular ultrasound segment (N=3581 segments). We assessed the association of WSS with plaque burden and distribution and with plaque composition. WSS remained relatively constant across the lower 3 quartiles of plaque burden (P=0.08) but increased in the highest quartile of plaque burden (P<0.001). Segments distal to lesions or within bifurcations were more likely to have low WSS (P<0.001). However, the majority of segments distal to lesions (80%) and within bifurcations (89%) did not exhibit low WSS. After adjustment for plaque burden, there was a negative association between WSS and percent necrotic core and calcium. For every 10 dynes/cm(2) increase in WSS, percent necrotic core decreased by 17% (P=0.01), and percent dense calcium decreased by 17% (P<0.001). There was no significant association between WSS and percent of fibrous or fibrofatty plaque components (P=NS). CONCLUSIONS: In patients with coronary artery disease: (1) Luminal geometry predicts calculated WSS only partially, which suggests that detailed computational techniques must be used to calculate WSS. (2) Low WSS is associated with plaque necrotic core and calcium, independent of plaque burden, which suggests a link between WSS and coronary plaque phenotype. (J Am Heart Assoc. 2012;1:e002543 doi: 10.1161/JAHA.112.002543.)
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spelling pubmed-34873512012-11-03 Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease Eshtehardi, Parham McDaniel, Michael C. Suo, Jin Dhawan, Saurabh S. Timmins, Lucas H. Binongo, José Nilo G. Golub, Lucas J. Corban, Michel T. Finn, Aloke V. Oshinski, John N. Quyyumi, Arshed A. Giddens, Don P. Samady, Habib J Am Heart Assoc Original Research BACKGROUND: Extremes of wall shear stress (WSS) have been associated with plaque progression and transformation, which has raised interest in the clinical assessment of WSS. We hypothesized that calculated coronary WSS is predicted only partially by luminal geometry and that WSS is related to plaque composition. METHODS AND RESULTS: Twenty‐seven patients with coronary artery disease underwent virtual histology intravascular ultrasound and Doppler velocity measurement for computational fluid dynamics modeling for WSS calculation in each virtual histology intravascular ultrasound segment (N=3581 segments). We assessed the association of WSS with plaque burden and distribution and with plaque composition. WSS remained relatively constant across the lower 3 quartiles of plaque burden (P=0.08) but increased in the highest quartile of plaque burden (P<0.001). Segments distal to lesions or within bifurcations were more likely to have low WSS (P<0.001). However, the majority of segments distal to lesions (80%) and within bifurcations (89%) did not exhibit low WSS. After adjustment for plaque burden, there was a negative association between WSS and percent necrotic core and calcium. For every 10 dynes/cm(2) increase in WSS, percent necrotic core decreased by 17% (P=0.01), and percent dense calcium decreased by 17% (P<0.001). There was no significant association between WSS and percent of fibrous or fibrofatty plaque components (P=NS). CONCLUSIONS: In patients with coronary artery disease: (1) Luminal geometry predicts calculated WSS only partially, which suggests that detailed computational techniques must be used to calculate WSS. (2) Low WSS is associated with plaque necrotic core and calcium, independent of plaque burden, which suggests a link between WSS and coronary plaque phenotype. (J Am Heart Assoc. 2012;1:e002543 doi: 10.1161/JAHA.112.002543.) Blackwell Publishing Ltd 2012-08-24 /pmc/articles/PMC3487351/ /pubmed/23130168 http://dx.doi.org/10.1161/JAHA.112.002543 Text en © 2012 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley-Blackwell. http://creativecommons.org/licenses/by/2.5/ This is an Open Access article under the terms of the Creative Commons Attribution Noncommercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Eshtehardi, Parham
McDaniel, Michael C.
Suo, Jin
Dhawan, Saurabh S.
Timmins, Lucas H.
Binongo, José Nilo G.
Golub, Lucas J.
Corban, Michel T.
Finn, Aloke V.
Oshinski, John N.
Quyyumi, Arshed A.
Giddens, Don P.
Samady, Habib
Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease
title Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease
title_full Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease
title_fullStr Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease
title_full_unstemmed Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease
title_short Association of Coronary Wall Shear Stress With Atherosclerotic Plaque Burden, Composition, and Distribution in Patients With Coronary Artery Disease
title_sort association of coronary wall shear stress with atherosclerotic plaque burden, composition, and distribution in patients with coronary artery disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487351/
https://www.ncbi.nlm.nih.gov/pubmed/23130168
http://dx.doi.org/10.1161/JAHA.112.002543
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