Literature DB >> 29322167

Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial.

Maros Ferencik1,2, Thomas Mayrhofer2,3, Daniel O Bittner2,4, Hamed Emami2, Stefan B Puchner2,5, Michael T Lu2, Nandini M Meyersohn2, Alexander V Ivanov2, Elizabeth C Adami2, Manesh R Patel6, Daniel B Mark6, James E Udelson7, Kerry L Lee6, Pamela S Douglas6, Udo Hoffmann2.   

Abstract

Importance: Coronary computed tomographic angiography (coronary CTA) can characterize coronary artery disease, including high-risk plaque. A noninvasive method of identifying high-risk plaque before major adverse cardiovascular events (MACE) could provide practice-changing optimizations in coronary artery disease care. Objective: To determine whether high-risk plaque detected by coronary CTA was associated with incident MACE independently of significant stenosis (SS) and cardiovascular risk factors. Design, Setting, and Participants: This prespecified nested observational cohort study was part of the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial. All stable, symptomatic outpatients in this trial who required noninvasive cardiovascular testing and received coronary CTA were included and followed up for a median of 25 months. Exposures: Core laboratory assessment of coronary CTA for SS and high-risk plaque (eg, positive remodeling, low computed tomographic attenuation, or napkin-ring sign). Main Outcomes and Measures: The primary end point was an adjudicated composite of MACE (defined as death, myocardial infarction, or unstable angina).
Results: The study included 4415 patients, of whom 2296 (52%) were women, with a mean age of 60.5 years, a median atherosclerotic cardiovascular disease (ASCVD) risk score of 11, and a MACE rate of 3% (131 events). A total of 676 patients (15.3%) had high-risk plaques, and 276 (6.3%) had SS. The presence of high-risk plaque was associated with a higher MACE rate (6.4% vs 2.4%; hazard ratio, 2.73; 95% CI, 1.89-3.93). This association persisted after adjustment for ASCVD risk score and SS (adjusted hazard ratio [aHR], 1.72; 95% CI, 1.13-2.62). Adding high-risk plaque to the ASCVD risk score and SS assessment led to a significant continuous net reclassification improvement (0.34; 95% CI, 0.02-0.51). Presence of high-risk plaque increased MACE risk among patients with nonobstructive coronary artery disease relative to patients without high-risk plaque (aHR, 4.31 vs 2.64; 95% CI, 2.25-8.26 vs 1.49-4.69). There were no significant differences in MACE in patients with SS and high-risk plaque as opposed to those with SS but not high-risk plaque (aHR, 8.68 vs. 9.31; 95% CI, 4.25-17.73 vs 4.21-20.61). High-risk plaque was a stronger predictor of MACE in women (aHR, 2.41; 95% CI, 1.25-4.64) vs men (aHR, 1.40; 95% CI, 0.81-2.39) and younger patients (aHR, 2.33; 95% CI, 1.20-4.51) vs older ones (aHR, 1.36; 95% CI, 0.77-2.39). Conclusions and Relevance: High-risk plaque found by coronary CTA was associated with a future MACE in a large US population of outpatients with stable chest pain. High-risk plaque may be an additional risk stratification tool, especially in patients with nonobstructive coronary artery disease, younger patients, and women. The importance of findings is limited by low absolute MACE rates and low positive predictive value of high-risk plaque. Trial Registration: clinicaltrials.gov Indentifier: NCT01174550.

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Year:  2018        PMID: 29322167      PMCID: PMC5838601          DOI: 10.1001/jamacardio.2017.4973

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  49 in total

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Journal:  Circ Cardiovasc Imaging       Date:  2011-07-05       Impact factor: 7.792

6.  Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome.

Authors:  Kenichiro Otsuka; Shota Fukuda; Atsushi Tanaka; Koki Nakanishi; Haruyuki Taguchi; Junichi Yoshikawa; Kenei Shimada; Minoru Yoshiyama
Journal:  JACC Cardiovasc Imaging       Date:  2013-03-14

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Journal:  JACC Cardiovasc Interv       Date:  2014-08-13       Impact factor: 11.195

8.  Angiographic disease progression and residual risk of cardiovascular events while on optimal medical therapy: observations from the COURAGE Trial.

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Journal:  Circ Cardiovasc Interv       Date:  2011-11-01       Impact factor: 6.546

9.  Age- and gender-related changes in plaque composition in patients with acute coronary syndrome: the PROSPECT study.

Authors:  Juan Ruiz-García; Amir Lerman; Giora Weisz; Akiko Maehara; Gary S Mintz; Martin Fahy; Ke Xu; Alexandra J Lansky; Ecaterina Cristea; Tony G Farah; Rui Teles; Hans Erik Botker; Barry Templin; Zhen Zhang; Bernard de Bruyne; Patrick W Serruys; Gregg W Stone
Journal:  EuroIntervention       Date:  2012-12-20       Impact factor: 6.534

10.  CAD-RADS(TM) 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 Cardiovasc Comput Tomogr       Date:  2016-06-15
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  67 in total

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Journal:  Am Heart J       Date:  2019-03-04       Impact factor: 4.749

2.  Coronary Microvascular Dysfunction by Myocardial Contrast Echocardiography in Nonelderly Patients Referred for Computed Tomographic Coronary Angiography.

Authors:  Sahar Taqui; Maros Ferencik; Brian P Davidson; J Todd Belcik; Federico Moccetti; Michael Layoun; Jacob Raber; Mitchell Turker; Hagai Tavori; Sergio Fazio; Jonathan R Lindner
Journal:  J Am Soc Echocardiogr       Date:  2019-05-15       Impact factor: 5.251

3.  The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFRCT, or high-risk plaque features?

Authors:  Mengmeng Yu; Zhigang Lu; Chengxing Shen; Jing Yan; Yining Wang; Bin Lu; Jiayin Zhang
Journal:  Eur Radiol       Date:  2019-03-22       Impact factor: 5.315

4.  Coronary Atherosclerotic Phenotype and Plaque Healing in Patients With Recurrent Acute Coronary Syndromes Compared With Patients With Long-term Clinical Stability: An In Vivo Optical Coherence Tomography Study.

Authors:  Rocco Vergallo; Italo Porto; Domenico D'Amario; Gianmarco Annibali; Mattia Galli; Stefano Benenati; Francesco Bendandi; Stefano Migliaro; Francesco Fracassi; Cristina Aurigemma; Antonio Maria Leone; Antonino Buffon; Francesco Burzotta; Carlo Trani; Giampaolo Niccoli; Giovanna Liuzzo; Francesco Prati; Valentin Fuster; Ik-Kyung Jang; Filippo Crea
Journal:  JAMA Cardiol       Date:  2019-04-01       Impact factor: 14.676

Review 5.  Coronary Computed Tomography Angiography: Enhancing Risk Stratification and Diagnosis of Cardiovascular Disease in Women.

Authors:  Sara Karnib; Kavitha M Chinnaiyan
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Review 6.  Physiology and coronary artery disease: emerging insights from computed tomography imaging based computational modeling.

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7.  Peri-Coronary Adipose Tissue Density Is Associated With 18F-Sodium Fluoride Coronary Uptake in Stable Patients With High-Risk Plaques.

Authors:  Jacek Kwiecinski; Damini Dey; Sebastien Cadet; Sang-Eun Lee; Yuka Otaki; Phi T Huynh; Mhairi K Doris; Evann Eisenberg; Mijin Yun; Maurits A Jansen; Michelle C Williams; Balaji K Tamarappoo; John D Friedman; Marc R Dweck; David E Newby; Hyuk-Jae Chang; Piotr J Slomka; Daniel S Berman
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8.  Impact of non-invasive anatomical testing on optimal medical prescription in patients with suspected coronary artery disease.

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9.  Predictors of 18F-sodium fluoride uptake in patients with stable coronary artery disease and adverse plaque features on computed tomography angiography.

Authors:  Jacek Kwiecinski; Damini Dey; Sebastien Cadet; Sang-Eun Lee; Balaji Tamarappoo; Yuka Otaki; Phi T Huynh; John D Friedman; Mark R Dweck; David E Newby; Mijin Yun; Hyuk-Jae Chang; Piotr J Slomka; Daniel S Berman
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Review 10.  Vulnerable plaque imaging using 18F-sodium fluoride positron emission tomography.

Authors:  Jacek Kwiecinski; Piotr J Slomka; Marc R Dweck; David E Newby; Daniel S Berman
Journal:  Br J Radiol       Date:  2019-12-19       Impact factor: 3.039

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