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The assessment of coronary artery disease in patients with end-stage renal disease
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality among patients with end-stage renal disease (ESRD). Clustering of traditional atherosclerotic and non-traditional risk factors drive the excess rates of coronary and non-coronary CVD in patients with ESRD. Coronary art...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768295/ https://www.ncbi.nlm.nih.gov/pubmed/31583096 http://dx.doi.org/10.1093/ckj/sfz088 |
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author | Poli, Federica E Gulsin, Gaurav S McCann, Gerry P Burton, James O Graham-Brown, Matthew P |
author_facet | Poli, Federica E Gulsin, Gaurav S McCann, Gerry P Burton, James O Graham-Brown, Matthew P |
author_sort | Poli, Federica E |
collection | PubMed |
description | Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality among patients with end-stage renal disease (ESRD). Clustering of traditional atherosclerotic and non-traditional risk factors drive the excess rates of coronary and non-coronary CVD in patients with ESRD. Coronary artery disease (CAD) is a key disease process, present in ∼50% of the haemodialysis population ≥65 years of age. Patients with ESRD are more likely to be asymptomatic, posing a challenge to the correct identification of CAD, which is essential for appropriate risk stratification and management. Given the lack of randomized clinical trial evidence in this population, current practice is informed by observational data with a significant potential for bias. For this reason, the most appropriate approach to the investigation of CAD is the subject of considerable discussion, with practice patterns largely varying between different centres. Traditional imaging modalities are limited in their diagnostic accuracy and prognostic value for cardiac events and survival in patients with ESRD, demonstrated by the large number of adverse cardiac outcomes among patients with negative test results. This review focuses on the current understanding of CAD screening in the ESRD population, discussing the available evidence for the use of various imaging techniques to refine risk prediction, with an emphasis on their strengths and limitations. |
format | Online Article Text |
id | pubmed-6768295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67682952019-10-03 The assessment of coronary artery disease in patients with end-stage renal disease Poli, Federica E Gulsin, Gaurav S McCann, Gerry P Burton, James O Graham-Brown, Matthew P Clin Kidney J End-Stage Renal Disease Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality among patients with end-stage renal disease (ESRD). Clustering of traditional atherosclerotic and non-traditional risk factors drive the excess rates of coronary and non-coronary CVD in patients with ESRD. Coronary artery disease (CAD) is a key disease process, present in ∼50% of the haemodialysis population ≥65 years of age. Patients with ESRD are more likely to be asymptomatic, posing a challenge to the correct identification of CAD, which is essential for appropriate risk stratification and management. Given the lack of randomized clinical trial evidence in this population, current practice is informed by observational data with a significant potential for bias. For this reason, the most appropriate approach to the investigation of CAD is the subject of considerable discussion, with practice patterns largely varying between different centres. Traditional imaging modalities are limited in their diagnostic accuracy and prognostic value for cardiac events and survival in patients with ESRD, demonstrated by the large number of adverse cardiac outcomes among patients with negative test results. This review focuses on the current understanding of CAD screening in the ESRD population, discussing the available evidence for the use of various imaging techniques to refine risk prediction, with an emphasis on their strengths and limitations. Oxford University Press 2019-08-14 /pmc/articles/PMC6768295/ /pubmed/31583096 http://dx.doi.org/10.1093/ckj/sfz088 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | End-Stage Renal Disease Poli, Federica E Gulsin, Gaurav S McCann, Gerry P Burton, James O Graham-Brown, Matthew P The assessment of coronary artery disease in patients with end-stage renal disease |
title | The assessment of coronary artery disease in patients with end-stage renal disease |
title_full | The assessment of coronary artery disease in patients with end-stage renal disease |
title_fullStr | The assessment of coronary artery disease in patients with end-stage renal disease |
title_full_unstemmed | The assessment of coronary artery disease in patients with end-stage renal disease |
title_short | The assessment of coronary artery disease in patients with end-stage renal disease |
title_sort | assessment of coronary artery disease in patients with end-stage renal disease |
topic | End-Stage Renal Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768295/ https://www.ncbi.nlm.nih.gov/pubmed/31583096 http://dx.doi.org/10.1093/ckj/sfz088 |
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