Literature DB >> 30309470

High Coronary Shear Stress in Patients With Coronary Artery Disease Predicts Myocardial Infarction.

Arnav Kumar1, Elizabeth W Thompson2, Adrien Lefieux3, David S Molony2, Emily L Davis2, Nikita Chand2, Stephane Fournier4, Hee Su Lee2, Jon Suh2, Kimi Sato5, Yi-An Ko6, Daniel Molloy2, Karthic Chandran2, Hossein Hosseini2, Sonu Gupta2, Anastasios Milkas4, Bill Gogas2, Hyuk-Jae Chang7, James K Min7, William F Fearon8, Alessandro Veneziani9, Don P Giddens10, Spencer B King2, Bernard De Bruyne4, Habib Samady11.   

Abstract

BACKGROUND: Coronary lesions with low fractional flow reserve (FFR) that are treated medically are associated with higher revascularization rates. High wall shear stress (WSS) has been linked with increased plaque vulnerability.
OBJECTIVES: This study investigated the prognostic value of WSS measured in the proximal segments of lesions (WSSprox) to predict myocardial infarction (MI) in patients with stable coronary artery disease (CAD) and hemodynamically significant lesions. The authors hypothesized that in patients with low FFR and stable CAD, higher WSSprox would predict MI.
METHODS: Among 441 patients in the FAME II (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation II) trial with FFR ≤0.80 who were randomized to medical therapy alone, 34 (8%) had subsequent MI within 3 years. Patients with vessel-related MI and adequate angiograms for 3-dimensional reconstruction (n = 29) were propensity matched to a control group with no MI (n = 29) by using demographic and clinical variables. Coronary lesions were divided into proximal, middle, and distal, along with 5-mm upstream and downstream segments. WSS was calculated for each segment.
RESULTS: Median age was 62 years, and 46 (79%) were male. In the marginal Cox model, whereas lower FFR showed a trend (hazard ratio: 0.084; p = 0.064), higher WSSprox (hazard ratio: 1.234; p = 0.002, C-index = 0.65) predicted MI. Adding WSSprox to FFR resulted in a significant increase in global chi-square for predicting MI (p = 0.045), a net reclassification improvement of 0.69 (p = 0.005), and an integrated discrimination index of 0.11 (p = 0.010).
CONCLUSIONS: In patients with stable CAD and hemodynamically significant lesions, higher WSS in the proximal segments of atherosclerotic lesions is predictive of MI and has incremental prognostic value over FFR.
Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  fractional flow reserve; high wall shear stress; proximal segment; stable coronary artery disease; vessel-related myocardial infarction

Mesh:

Year:  2018        PMID: 30309470     DOI: 10.1016/j.jacc.2018.07.075

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  29 in total

1.  Combining anatomy and physiology: New angiography-based and computed tomography coronary angiography-derived fractional flow reserve indices.

Authors:  Mariusz Tomaniak; Patrick W Serruys
Journal:  Cardiol J       Date:  2020       Impact factor: 2.737

2.  3-D Intravascular Characterization of Blood Flow Velocity Fields with a Forward-Viewing 2-D Array.

Authors:  Brooks D Lindsey; Bowen Jing; Saeyoung Kim; Graham C Collins; Muralidhar Padala
Journal:  Ultrasound Med Biol       Date:  2020-06-30       Impact factor: 2.998

Review 3.  Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling.

Authors:  Parastou Eslami; Vikas Thondapu; Julia Karady; Eline M J Hartman; Zexi Jin; Mazen Albaghdadi; Michael Lu; Jolanda J Wentzel; Udo Hoffmann
Journal:  Int J Cardiovasc Imaging       Date:  2020-08-10       Impact factor: 2.357

Review 4.  Risk stratification of coronary plaques using physiologic characteristics by CCTA: Focus on shear stress.

Authors:  Habib Samady; David S Molony; Ahmet U Coskun; Anubodh S Varshney; Bernard De Bruyne; Peter H Stone
Journal:  J Cardiovasc Comput Tomogr       Date:  2019-12-04

5.  Endothelial Cell Biomechanical Responses are Dependent on Both Fluid Shear Stress and Tensile Strain.

Authors:  Daphne Meza; Bryan Musmacker; Elisabeth Steadman; Thomas Stransky; David A Rubenstein; Wei Yin
Journal:  Cell Mol Bioeng       Date:  2019-07-09       Impact factor: 2.321

6.  Spatial relationships among hemodynamic, anatomic, and biochemical plaque characteristics in patients with coronary artery disease.

Authors:  Anubodh S Varshney; Ahmet U Coskun; Gerasimos Siasos; Charles C Maynard; Zhongyue Pu; Kevin J Croce; Nicholas V Cefalo; Michelle A Cormier; Dimitris Fotiadis; Kostas Stefanou; Michail I Papafaklis; Lampros Michalis; Stacie VanOosterhout; Abbey Mulder; Ryan D Madder; Peter H Stone
Journal:  Atherosclerosis       Date:  2020-12-28       Impact factor: 5.162

7.  The Holistic Coronary Physiology Display: Calculation of the Flow Separation Index in Vessel-Specific Individual Flow Range during Fractional Flow Reserve Measurement Using 3D Coronary Reconstruction.

Authors:  Gábor Tamás Szabó; Áron Üveges; Balázs Tar; András Ágoston; Azzaya Dorj; Csaba Jenei; Rudolf Kolozsvári; Benjamin Csippa; Dániel Czuriga; Zsolt Kőszegi
Journal:  J Clin Med       Date:  2021-04-28       Impact factor: 4.241

8.  Enlarged Lumen Volume of Proximal Aortic Segment and Acute Type B Aortic Dissection: A Computer Fluid Dynamics Study of Ideal Aortic Models.

Authors:  Yuan Peng; Xuelan Zhang; Jiehua Li; Xiaolong Zhang; Hao He; Xin Li; Kun Fang; Liancun Zheng; Chang Shu
Journal:  Int J Gen Med       Date:  2022-01-13

Review 9.  Investigation of Wall Shear Stress in Cardiovascular Research and in Clinical Practice-From Bench to Bedside.

Authors:  Katharina Urschel; Miyuki Tauchi; Stephan Achenbach; Barbara Dietel
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

10.  High Wall Shear Stress Is Related to Atherosclerotic Plaque Rupture in the Aortic Arch of Patients with Cardiovascular Disease: A Study with Computational Fluid Dynamics Model and Non-Obstructive General Angioscopy.

Authors:  Keisuke Kojima; Takafumi Hiro; Yutaka Koyama; Akihito Ohgaku; Hidesato Fujito; Yasunari Ebuchi; Riku Arai; Masaki Monden; Suguru Migita; Tomoyuki Morikawa; Takehiro Tamaki; Nobuhiro Murata; Naotaka Akutsu; Toshihiko Nishida; Daisuke Kitano; Mitsumasa Sudo; Daisuke Fukamachi; Shunichi Yoda; Tadateru Takayama; Atsushi Hirayama; Yasuo Okumura
Journal:  J Atheroscler Thromb       Date:  2020-10-02       Impact factor: 4.928

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