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Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling

AIMS: Cardiovascular magnetic resonance (CMR) permits a comprehensive evaluation of stable coronary artery disease (CAD). We sought to assess whether, in a large contemporaneous population receiving optimal medical therapy, CMR independently predicts prognosis beyond conventional cardiovascular risk...

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Autores principales: Catalano, Oronzo, Moro, Guido, Mori, Alessia, Perotti, Mariarosa, Gualco, Alessandra, Frascaroli, Mauro, Pesarin, Clara, Napolitano, Carlo, Ntusi, Ntobeko A. B., Priori, Silvia G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032669/
https://www.ncbi.nlm.nih.gov/pubmed/30035118
http://dx.doi.org/10.1155/2018/2806148
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author Catalano, Oronzo
Moro, Guido
Mori, Alessia
Perotti, Mariarosa
Gualco, Alessandra
Frascaroli, Mauro
Pesarin, Clara
Napolitano, Carlo
Ntusi, Ntobeko A. B.
Priori, Silvia G.
author_facet Catalano, Oronzo
Moro, Guido
Mori, Alessia
Perotti, Mariarosa
Gualco, Alessandra
Frascaroli, Mauro
Pesarin, Clara
Napolitano, Carlo
Ntusi, Ntobeko A. B.
Priori, Silvia G.
author_sort Catalano, Oronzo
collection PubMed
description AIMS: Cardiovascular magnetic resonance (CMR) permits a comprehensive evaluation of stable coronary artery disease (CAD). We sought to assess whether, in a large contemporaneous population receiving optimal medical therapy, CMR independently predicts prognosis beyond conventional cardiovascular risk factors (RF). METHODS: We performed a single centre, observational prospective study that enrolled 465 CAD patients (80% males; 63±11 years), optimally treated with ACE-inhibitors/ARB, aspirin, and statins (76-85%). Assessments included conventional evaluation (clinical history, atherosclerosis RF, electrocardiography, and echocardiography) and a comprehensive CMR with LV dimensions/function, late gadolinium enhancement (LGE), and stress perfusion CMR (SPCMR). RESULTS: During a median follow-up of 62 months (IQR 23-74) there were 50 deaths and 92 major adverse cardiovascular events (MACE). CMR variables improved multivariate model prediction power of mortality and MACE over traditional RF alone (F-test p<0.05 and p<0.001, respectively). LGE was an independent prognostic factor of mortality (hazard ratio [95% CI]: 3.4 [1.3−8.8]); moreover, LGE (3.3 [1.7−6.3]) and SPCMR (2.1 [1.4−3.2]) were the best predictors of MACE. CONCLUSION: LGE is an independent noninvasive marker of mortality in the long term in patients with stable CAD and optimized medical therapy. Furthermore, LGE and SPCMR independently predict MACE beyond conventional risk stratification.
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spelling pubmed-60326692018-07-22 Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling Catalano, Oronzo Moro, Guido Mori, Alessia Perotti, Mariarosa Gualco, Alessandra Frascaroli, Mauro Pesarin, Clara Napolitano, Carlo Ntusi, Ntobeko A. B. Priori, Silvia G. Biomed Res Int Research Article AIMS: Cardiovascular magnetic resonance (CMR) permits a comprehensive evaluation of stable coronary artery disease (CAD). We sought to assess whether, in a large contemporaneous population receiving optimal medical therapy, CMR independently predicts prognosis beyond conventional cardiovascular risk factors (RF). METHODS: We performed a single centre, observational prospective study that enrolled 465 CAD patients (80% males; 63±11 years), optimally treated with ACE-inhibitors/ARB, aspirin, and statins (76-85%). Assessments included conventional evaluation (clinical history, atherosclerosis RF, electrocardiography, and echocardiography) and a comprehensive CMR with LV dimensions/function, late gadolinium enhancement (LGE), and stress perfusion CMR (SPCMR). RESULTS: During a median follow-up of 62 months (IQR 23-74) there were 50 deaths and 92 major adverse cardiovascular events (MACE). CMR variables improved multivariate model prediction power of mortality and MACE over traditional RF alone (F-test p<0.05 and p<0.001, respectively). LGE was an independent prognostic factor of mortality (hazard ratio [95% CI]: 3.4 [1.3−8.8]); moreover, LGE (3.3 [1.7−6.3]) and SPCMR (2.1 [1.4−3.2]) were the best predictors of MACE. CONCLUSION: LGE is an independent noninvasive marker of mortality in the long term in patients with stable CAD and optimized medical therapy. Furthermore, LGE and SPCMR independently predict MACE beyond conventional risk stratification. Hindawi 2018-06-21 /pmc/articles/PMC6032669/ /pubmed/30035118 http://dx.doi.org/10.1155/2018/2806148 Text en Copyright © 2018 Oronzo Catalano et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Catalano, Oronzo
Moro, Guido
Mori, Alessia
Perotti, Mariarosa
Gualco, Alessandra
Frascaroli, Mauro
Pesarin, Clara
Napolitano, Carlo
Ntusi, Ntobeko A. B.
Priori, Silvia G.
Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling
title Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling
title_full Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling
title_fullStr Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling
title_full_unstemmed Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling
title_short Cardiac Magnetic Resonance in Stable Coronary Artery Disease: Added Prognostic Value to Conventional Risk Profiling
title_sort cardiac magnetic resonance in stable coronary artery disease: added prognostic value to conventional risk profiling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6032669/
https://www.ncbi.nlm.nih.gov/pubmed/30035118
http://dx.doi.org/10.1155/2018/2806148
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