Literature DB >> 28917684

Role of Low Endothelial Shear Stress and Plaque Characteristics in the Prediction of Nonculprit Major Adverse Cardiac Events: The PROSPECT Study.

Peter H Stone1, Akiko Maehara2, Ahmet Umit Coskun3, Charles C Maynard4, Marina Zaromytidou3, Gerasimos Siasos3, Ioannis Andreou3, Dimitris Fotiadis5, Kostas Stefanou5, Michail Papafaklis5, Lampros Michalis5, Alexandra J Lansky6, Gary S Mintz2, Patrick W Serruys7, Charles L Feldman3, Gregg W Stone2.   

Abstract

OBJECTIVES: This study sought to determine whether low endothelial shear stress (ESS) adds independent prognostication for future major adverse cardiac events (MACE) in coronary lesions in patients with high-risk acute coronary syndrome (ACS) from the United States and Europe.
BACKGROUND: Low ESS is a proinflammatory, proatherogenic stimulus associated with coronary plaque development, progression, and destabilization in human-like animal models and in humans. Previous natural history studies including baseline ESS characterization investigated low-risk patients.
METHODS: In the PROSPECT (Providing Regional Observations to Study Predictors of Events in the Coronary Tree) study, 697 patients with ACS underwent 3-vessel intracoronary imaging. Independent predictors of MACE attributable to untreated nonculprit (nc) coronary lesions during 3.4-year follow-up were large plaque burden (PB), small minimum lumen area (MLA), and thin-cap fibroatheroma (TCFA) morphology. In this analysis, baseline ESS of nc lesions leading to new MACE (nc-MACE lesions) and randomly selected control nc lesions without MACE (nc-non-MACE lesions) were calculated. A propensity score for ESS was constructed for each lesion, and the relationship between ESS and subsequent nc-MACE was examined.
RESULTS: A total of 145 lesions were analyzed in 97 patients: 23 nc-MACE lesions (13 TCFAs, 10 thick-cap fibroatheromas [ThCFAs]), and 122 nc-non-MACE lesions (63 TCFAs, 59 ThCFAs). Low local ESS (<1.3 Pa) was strongly associated with subsequent nc-MACE compared with physiological/high ESS (≥1.3 Pa) (23 of 101 [22.8%]) versus (0 of 44 [0%]). In propensity-adjusted Cox regression, low ESS was strongly associated with MACE (hazard ratio: 4.34; 95% confidence interval: 1.89 to 10.00; p < 0.001). Categorizing plaques by anatomic risk (high risk: ≥2 high-risk characteristics PB ≥70%, MLA ≤4 mm2, or TCFA), high anatomic risk, and low ESS were prognostically synergistic: 3-year nc-MACE rates were 52.1% versus 14.4% versus 0.0% in high-anatomic risk/low-ESS, low-anatomic risk/low-ESS, and physiological/high-ESS lesions, respectively (p < 0.0001). No lesion without low ESS led to nc-MACE during follow-up, regardless of PB, MLA, or lesion phenotype at baseline.
CONCLUSIONS: Local low ESS provides incremental risk stratification of untreated coronary lesions in high-risk patients, beyond measures of PB, MLA, and morphology.
Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  atherosclerosis; coronary artery disease; inflammation; prediction; shear stress

Mesh:

Year:  2017        PMID: 28917684     DOI: 10.1016/j.jcmg.2017.01.031

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  27 in total

Review 1.  Coronary CT Angiography to Guide Percutaneous Coronary Intervention.

Authors:  Georgios Tzimas; Gaurav S Gulsin; Hidenobu Takagi; Niya Mileva; Jeroen Sonck; Olivier Muller; Jonathon A Leipsic; Carlos Collet
Journal:  Radiol Cardiothorac Imaging       Date:  2022-01-06

2.  Safety of conservative management for non-stenotic culprit lesions in STEMI patients treated with a two-step reperfusion strategy: a SUPER-MIMI sub-study.

Authors:  Marc Bonnet; Stephanie Marliere; Victor Mathieu; Allan Tronchi; Nicolas Delarche; Mohamed Abdellaoui; Olivier Dubreuil; Ziad Boueri; Mohamed Chettibi; Geraud Souteyrand; Chloé Durier; Frederic Bouisset; Loic Belle
Journal:  Cardiovasc Diagn Ther       Date:  2022-04

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.  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

6.  Non-Newtonian Endothelial Shear Stress Simulation: Does It Matter?

Authors:  Vikas Thondapu; Daisuke Shishikura; Jouke Dijkstra; Shuang J Zhu; Eve Revalor; Patrick W Serruys; William J van Gaal; Eric K W Poon; Andrew Ooi; Peter Barlis
Journal:  Front Cardiovasc Med       Date:  2022-04-14

7.  Shear stress: the dark energy of atherosclerotic plaques.

Authors:  Paul C Evans; Maria Fragiadaki; Paul D Morris; Jovana Serbanovic-Canic
Journal:  Cardiovasc Res       Date:  2021-07-07       Impact factor: 13.081

8.  An MRI-based method to register patient-specific wall shear stress data to histology.

Authors:  A M Moerman; K Dilba; S Korteland; D H J Poot; S Klein; A van der Lugt; E V Rouwet; K van Gaalen; J J Wentzel; A F W van der Steen; F J H Gijsen; K Van der Heiden
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

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.  Impact of Arterial Remodeling of Intermediate Coronary Lesions on Long-Term Clinical Outcomes in Patients with Stable Coronary Artery Disease: An Intravascular Ultrasound Study.

Authors:  Liang Geng; Peizhao Du; Yuan Yuan; Liming Gao; Yunkai Wang; Jiming Li; Qi Zhang
Journal:  J Interv Cardiol       Date:  2021-06-11       Impact factor: 2.279

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