Literature DB >> 32535636

Non-obstructive high-risk plaques increase the risk of future culprit lesions comparable to obstructive plaques without high-risk features: the ICONIC study.

Richard A Ferraro1, Alexander R van Rosendael1,2, Yao Lu3, Daniele Andreini4, Mouaz H Al-Mallah5, Filippo Cademartiri6, Kavitha Chinnaiyan7, Benjamin J W Chow8, Edoardo Conte4, Ricardo C Cury9, Gudrun Feuchtner10, Pedro de Araújo Gonçalves11, Martin Hadamitzky12, Yong-Jin Kim13, Jonathon Leipsic14, Erica Maffei15, Hugo Marques11, Fabian Plank16, Gianluca Pontone4, Gilbert L Raff7, Todd C Villines17, Sang-Eun Lee18, Subhi J Al'Aref1, Lohendran Baskaran1,19, Iksung Cho18,20, Ibrahim Danad21, Heidi Gransar22, Matthew J Budoff23, Habib Samady24, Peter H Stone25, Renu Virmani26, Jagat Narula27, Daniel S Berman28, Hyuk-Jae Chang18, Jeroen J Bax2, James K Min1, Leslee J Shaw1, Fay Y Lin1.   

Abstract

AIMS: High-risk plaque (HRP) and non-obstructive coronary artery disease independently predict adverse events, but their importance to future culprit lesions has not been resolved. We sought to determine in patients prior to confirmed acute coronary syndrome (ACS) the association between lesion percent diameter stenosis (%DS), and the absolute number and prevalence of HRP. The secondary objective was to examine the relative importance of non-obstructive HRP in future culprit lesions. METHODS AND
RESULTS: Within the ICONIC study, a nested case-control study of patients undergoing coronary computed tomographic angiography (coronary CT), we included ACS cases with culprit lesions confirmed by invasive coronary angiography and coregistered to baseline coronary CT. Quantitative CT was used to evaluate obstructive (≥50%) and non-obstructive (<50%) diameter stenosis, with HRP defined as ≥2 features of spotty calcification, positive remodelling, or low-attenuation plaque at baseline. A total of 234 patients with downstream ACS over 54 (interquartile range 5-525.5) days exhibited 198/898 plaques with HRP on coronary CT. While HRP was less prevalent in non-obstructive (19.7%, 161/819) than obstructive lesions (46.8%, 37/79, P < 0.001), non-obstructive plaque comprised 81.3% (161/198) of HRP lesions overall. Among the 128 patients with identifiable culprit lesion precursors, the adjusted hazard ratio (HR) was 1.85 [95% confidence interval (CI) 1.26-2.72] for HRP, with no interaction between %DS and HRP (P = 0.82). Compared to non-obstructive HRP lesions, obstructive lesions without HRP exhibited a non-significant HR of 1.41 (95% CI 0.61-3.25, P = 0.42).
CONCLUSIONS: While HRP is more prevalent among obstructive lesions, non-obstructive HRP lesions outnumber those that are obstructive and confer risk clinically approaching that of obstructive lesions without HRP. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Coronary computed tomographic angiography; coronary artery disease; myocardial infarction

Mesh:

Year:  2020        PMID: 32535636      PMCID: PMC7440964          DOI: 10.1093/ehjci/jeaa048

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   9.130


  26 in total

1.  Detection of coronary artery stenoses by contrast-enhanced, retrospectively electrocardiographically-gated, multislice spiral computed tomography.

Authors:  S Achenbach; T Giesler; D Ropers; S Ulzheimer; H Derlien; C Schulte; E Wenkel; W Moshage; W Bautz; W G Daniel; W A Kalender; U Baum
Journal:  Circulation       Date:  2001-05-29       Impact factor: 29.690

2.  Nonobstructive coronary artery disease and risk of myocardial infarction.

Authors:  Thomas M Maddox; Maggie A Stanislawski; Gary K Grunwald; Steven M Bradley; P Michael Ho; Thomas T Tsai; Manesh R Patel; Amneet Sandhu; Javier Valle; David J Magid; Benjamin Leon; Deepak L Bhatt; Stephan D Fihn; John S Rumsfeld
Journal:  JAMA       Date:  2014-11-05       Impact factor: 56.272

3.  Coronary Atherosclerotic Precursors of Acute Coronary Syndromes.

Authors:  Hyuk-Jae Chang; Fay Y Lin; Sang-Eun Lee; Daniele Andreini; Jeroen Bax; Filippo Cademartiri; Kavitha Chinnaiyan; Benjamin J W Chow; Edoardo Conte; Ricardo C Cury; Gudrun Feuchtner; Martin Hadamitzky; Yong-Jin Kim; Jonathon Leipsic; Erica Maffei; Hugo Marques; Fabian Plank; Gianluca Pontone; Gilbert L Raff; Alexander R van Rosendael; Todd C Villines; Harald G Weirich; Subhi J Al'Aref; Lohendran Baskaran; Iksung Cho; Ibrahim Danad; Donghee Han; Ran Heo; Ji Hyun Lee; Asim Rivzi; Wijnand J Stuijfzand; Heidi Gransar; Yao Lu; Ji Min Sung; Hyung-Bok Park; Daniel S Berman; Matthew J Budoff; Habib Samady; Leslee J Shaw; Peter H Stone; Renu Virmani; Jagat Narula; James K Min
Journal:  J Am Coll Cardiol       Date:  2018-06-05       Impact factor: 24.094

4.  Mortality risk in symptomatic patients with nonobstructive coronary artery disease: a prospective 2-center study of 2,583 patients undergoing 64-detector row coronary computed tomographic angiography.

Authors:  Fay Y Lin; Leslee J Shaw; Allison M Dunning; Troy M Labounty; Jin-Ho Choi; Jonathan W Weinsaft; Sunaina Koduru; Millie J Gomez; Augustin J Delago; Tracy Q Callister; Daniel S Berman; James K Min
Journal:  J Am Coll Cardiol       Date:  2011-07-26       Impact factor: 24.094

5.  Angiographic progression of coronary artery disease and the development of myocardial infarction.

Authors:  J A Ambrose; M A Tannenbaum; D Alexopoulos; C E Hjemdahl-Monsen; J Leavy; M Weiss; S Borrico; R Gorlin; V Fuster
Journal:  J Am Coll Cardiol       Date:  1988-07       Impact factor: 24.094

6.  The napkin-ring sign indicates advanced atherosclerotic lesions in coronary CT angiography.

Authors:  Pál Maurovich-Horvat; Christopher L Schlett; Hatem Alkadhi; Masataka Nakano; Fumiyuki Otsuka; Paul Stolzmann; Hans Scheffel; Maros Ferencik; Matthias F Kriegel; Harald Seifarth; Renu Virmani; Udo Hoffmann
Journal:  JACC Cardiovasc Imaging       Date:  2012-12

7.  Coronary CT Angiography and 5-Year Risk of Myocardial Infarction.

Authors:  David E Newby; Philip D Adamson; Colin Berry; Nicholas A Boon; Marc R Dweck; Marcus Flather; John Forbes; Amanda Hunter; Stephanie Lewis; Scott MacLean; Nicholas L Mills; John Norrie; Giles Roditi; Anoop S V Shah; Adam D Timmis; Edwin J R van Beek; Michelle C Williams
Journal:  N Engl J Med       Date:  2018-08-25       Impact factor: 91.245

8.  CAD-RADS™: Coronary Artery Disease - Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology.

Authors:  Ricardo C Cury; Suhny Abbara; Stephan Achenbach; Arthur Agatston; Daniel S Berman; Matthew J Budoff; Karin E Dill; Jill E Jacobs; Christopher D Maroules; Geoffrey D Rubin; Frank J Rybicki; U Joseph Schoepf; Leslee J Shaw; Arthur E Stillman; Charles S White; Pamela K Woodard; Jonathon A Leipsic
Journal:  J Am Coll Radiol       Date:  2016-06-15       Impact factor: 5.532

9.  Guiding Therapy by Coronary CT Angiography Improves Outcomes in Patients With Stable Chest Pain.

Authors:  Philip D Adamson; Michelle C Williams; Marc R Dweck; Nicholas L Mills; Nicholas A Boon; Marwa Daghem; Rong Bing; Alastair J Moss; Kenneth Mangion; Marcus Flather; John Forbes; Amanda Hunter; John Norrie; Anoop S V Shah; Adam D Timmis; Edwin J R van Beek; Amir A Ahmadi; Jonathon Leipsic; Jagat Narula; David E Newby; Giles Roditi; David A McAllister; Colin Berry
Journal:  J Am Coll Cardiol       Date:  2019-10-22       Impact factor: 27.203

10.  Coronary Computed Tomography Angiography-Specific Definitions of High-Risk Plaque Features Improve Detection of Acute Coronary Syndrome.

Authors:  Daniel O Bittner; Thomas Mayrhofer; Stefan B Puchner; Michael T Lu; Pal Maurovich-Horvat; Khristine Ghemigian; Pieter H Kitslaar; Alexander Broersen; Fabian Bamberg; Quynh A Truong; Christopher L Schlett; Udo Hoffmann; Maros Ferencik
Journal:  Circ Cardiovasc Imaging       Date:  2018-08       Impact factor: 7.792

View more
  5 in total

1.  The characteristics and risk factors of in-stent restenosis in patients with percutaneous coronary intervention: what can we do.

Authors:  Pengfei Wang; Haixia Qiao; RuiJuan Wang; Ruitian Hou; Jingtao Guo
Journal:  BMC Cardiovasc Disord       Date:  2020-12-04       Impact factor: 2.298

2.  Cardiac Computed Tomography: State of the Art and Future Horizons.

Authors:  Gudrun M Feuchtner; Fabian Plank; Christoph Beyer; Fabian Barbieri; Gerlig Widmann; Philipp Spitaler; Wolfgang Dichtl
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

Review 3.  The Molecular Basis of Predicting Atherosclerotic Cardiovascular Disease Risk.

Authors:  Matthew Nayor; Kemar J Brown; Ramachandran S Vasan
Journal:  Circ Res       Date:  2021-01-21       Impact factor: 17.367

4.  Prognostic Value of Atherosclerotic Extent in Diabetic Patients with Nonobstructive Coronary Artery Disease.

Authors:  Yipu Ding; Zinuan Liu; Guanhua Dou; Xia Yang; Xi Wang; Dongkai Shan; Bai He; Jing Jing; Yundai Chen; Junjie Yang
Journal:  J Diabetes Res       Date:  2021-06-09       Impact factor: 4.011

5.  SIRM-SIC appropriateness criteria for the use of Cardiac Computed Tomography. Part 1: Congenital heart diseases, primary prevention, risk assessment before surgery, suspected CAD in symptomatic patients, plaque and epicardial adipose tissue characterization, and functional assessment of stenosis.

Authors:  Antonio Esposito; Marco Francone; Daniele Andreini; Vitaliano Buffa; Filippo Cademartiri; Iacopo Carbone; Alberto Clemente; Andrea Igoren Guaricci; Marco Guglielmo; Ciro Indolfi; Ludovico La Grutta; Guido Ligabue; Carlo Liguori; Giuseppe Mercuro; Saima Mushtaq; Danilo Neglia; Anna Palmisano; Roberto Sciagrà; Sara Seitun; Davide Vignale; Gianluca Pontone; Nazario Carrabba
Journal:  Radiol Med       Date:  2021-06-23       Impact factor: 3.469

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.