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Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C)
BACKGROUND: The prevalence of heart failure (HF) is rising in industrialized and developing countries. Though invasive coronary angiography (ICA) remains the gold standard for anatomical assessment of coronary artery disease in HF patients, alternatives are being sought. Computed tomographic coronar...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3895694/ https://www.ncbi.nlm.nih.gov/pubmed/24369097 http://dx.doi.org/10.1186/1745-6215-14-443 |
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author | Chow, Benjamin JW Green, Rachel E Coyle, Doug Laine, Mika Hanninen, Helena Leskinen, Hanna Rajda, Miroslav Larose, Eric Hartikainen, Juha Hedman, Marja Mielniczuk, Lisa O’Meara, Eileen deKemp, Robert A Klein, Ran Paterson, Ian White, James A Yla-Herttuala, Seppo Leber, Alex Tandon, Vikas Lee, Ting Al-Hesayen, Abdul Hessian, Renee Dowsley, Taylor Kass, Malek Kelly, Cathy Garrard, Linda Tardif, Jean-Claude Knuuti, Juhani Beanlands, Rob S Wells, George A |
author_facet | Chow, Benjamin JW Green, Rachel E Coyle, Doug Laine, Mika Hanninen, Helena Leskinen, Hanna Rajda, Miroslav Larose, Eric Hartikainen, Juha Hedman, Marja Mielniczuk, Lisa O’Meara, Eileen deKemp, Robert A Klein, Ran Paterson, Ian White, James A Yla-Herttuala, Seppo Leber, Alex Tandon, Vikas Lee, Ting Al-Hesayen, Abdul Hessian, Renee Dowsley, Taylor Kass, Malek Kelly, Cathy Garrard, Linda Tardif, Jean-Claude Knuuti, Juhani Beanlands, Rob S Wells, George A |
author_sort | Chow, Benjamin JW |
collection | PubMed |
description | BACKGROUND: The prevalence of heart failure (HF) is rising in industrialized and developing countries. Though invasive coronary angiography (ICA) remains the gold standard for anatomical assessment of coronary artery disease in HF patients, alternatives are being sought. Computed tomographic coronary angiography (CTA) has emerged as an accurate non-invasive diagnostic tool for coronary artery disease (CAD) and has been demonstrated to have prognostic value. Whether or not CTA can be used in HF patients is unknown. Acknowledging the aging population, the growing prevalence of HF and the increasing financial burden of healthcare, we need to identify non-invasive diagnostic tests that are available, safe, accurate and cost-effective. METHODS/DESIGN: The proposed study aims to provide insight into the efficacy of CTA in HF patients. A multicenter randomized controlled trial will enroll 250 HF patients requiring coronary anatomical definition. Enrolled patients will be randomized to either CTA or ICA (n = 125 per group) as the first test to define coronary anatomy. The primary outcomes will be collected to determine downstream resource utilization. Secondary outcomes will include the composite clinical events and major adverse cardiac events. In addition, the accuracy of CTA for detecting coronary anatomy and obstruction will be assessed in patients who subsequently undergo both CTA and ICA. It is expected that CTA will be a more cost-effective strategy for diagnosis: yielding similar outcomes with fewer procedural risks and improved resource utilization. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01283659 Team grant #CIF 99470 |
format | Online Article Text |
id | pubmed-3895694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38956942014-01-21 Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) Chow, Benjamin JW Green, Rachel E Coyle, Doug Laine, Mika Hanninen, Helena Leskinen, Hanna Rajda, Miroslav Larose, Eric Hartikainen, Juha Hedman, Marja Mielniczuk, Lisa O’Meara, Eileen deKemp, Robert A Klein, Ran Paterson, Ian White, James A Yla-Herttuala, Seppo Leber, Alex Tandon, Vikas Lee, Ting Al-Hesayen, Abdul Hessian, Renee Dowsley, Taylor Kass, Malek Kelly, Cathy Garrard, Linda Tardif, Jean-Claude Knuuti, Juhani Beanlands, Rob S Wells, George A Trials Study Protocol BACKGROUND: The prevalence of heart failure (HF) is rising in industrialized and developing countries. Though invasive coronary angiography (ICA) remains the gold standard for anatomical assessment of coronary artery disease in HF patients, alternatives are being sought. Computed tomographic coronary angiography (CTA) has emerged as an accurate non-invasive diagnostic tool for coronary artery disease (CAD) and has been demonstrated to have prognostic value. Whether or not CTA can be used in HF patients is unknown. Acknowledging the aging population, the growing prevalence of HF and the increasing financial burden of healthcare, we need to identify non-invasive diagnostic tests that are available, safe, accurate and cost-effective. METHODS/DESIGN: The proposed study aims to provide insight into the efficacy of CTA in HF patients. A multicenter randomized controlled trial will enroll 250 HF patients requiring coronary anatomical definition. Enrolled patients will be randomized to either CTA or ICA (n = 125 per group) as the first test to define coronary anatomy. The primary outcomes will be collected to determine downstream resource utilization. Secondary outcomes will include the composite clinical events and major adverse cardiac events. In addition, the accuracy of CTA for detecting coronary anatomy and obstruction will be assessed in patients who subsequently undergo both CTA and ICA. It is expected that CTA will be a more cost-effective strategy for diagnosis: yielding similar outcomes with fewer procedural risks and improved resource utilization. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01283659 Team grant #CIF 99470 BioMed Central 2013-12-26 /pmc/articles/PMC3895694/ /pubmed/24369097 http://dx.doi.org/10.1186/1745-6215-14-443 Text en Copyright © 2013 Chow et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Study Protocol Chow, Benjamin JW Green, Rachel E Coyle, Doug Laine, Mika Hanninen, Helena Leskinen, Hanna Rajda, Miroslav Larose, Eric Hartikainen, Juha Hedman, Marja Mielniczuk, Lisa O’Meara, Eileen deKemp, Robert A Klein, Ran Paterson, Ian White, James A Yla-Herttuala, Seppo Leber, Alex Tandon, Vikas Lee, Ting Al-Hesayen, Abdul Hessian, Renee Dowsley, Taylor Kass, Malek Kelly, Cathy Garrard, Linda Tardif, Jean-Claude Knuuti, Juhani Beanlands, Rob S Wells, George A Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) |
title | Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) |
title_full | Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) |
title_fullStr | Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) |
title_full_unstemmed | Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) |
title_short | Computed tomographic coronary angiography for patients with heart failure (CTA-HF): a randomized controlled trial (IMAGE HF Project 1-C) |
title_sort | computed tomographic coronary angiography for patients with heart failure (cta-hf): a randomized controlled trial (image hf project 1-c) |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3895694/ https://www.ncbi.nlm.nih.gov/pubmed/24369097 http://dx.doi.org/10.1186/1745-6215-14-443 |
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