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Cardiovascular risk prediction in the elderly
Heart failure (HF) in the elderly, besides being a leading cause of mortality and morbidity, is rapidly increasing in prevalence with patients aged 65 and older accounting for more than 75% of heart failure hospitalizations. Elderly patients have historically been unrepresented in clinical HF trials...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558575/ https://www.ncbi.nlm.nih.gov/pubmed/31217795 http://dx.doi.org/10.11909/j.issn.1671-5411.2019.05.010 |
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author | Kumar, Kartik Afonso, Luis |
author_facet | Kumar, Kartik Afonso, Luis |
author_sort | Kumar, Kartik |
collection | PubMed |
description | Heart failure (HF) in the elderly, besides being a leading cause of mortality and morbidity, is rapidly increasing in prevalence with patients aged 65 and older accounting for more than 75% of heart failure hospitalizations. Elderly patients have historically been unrepresented in clinical HF trials and often present with multiple comorbidities, including frailty, depression, nutritional, functional and cognitive impairments. Additionally, pharmacologic challenges such as adherence to therapy, polypharmacy, altered drug pharmacokinetics and/or renal derangements make them less likely to receive guideline-directed medical therapies for HF. Recognition of these various interrelated domains is key and should prompt a multidisciplinary, holistic management approach so as to optimize prognosis in this vulnerable subset of the population. |
format | Online Article Text |
id | pubmed-6558575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65585752019-06-19 Cardiovascular risk prediction in the elderly Kumar, Kartik Afonso, Luis J Geriatr Cardiol Review Heart failure (HF) in the elderly, besides being a leading cause of mortality and morbidity, is rapidly increasing in prevalence with patients aged 65 and older accounting for more than 75% of heart failure hospitalizations. Elderly patients have historically been unrepresented in clinical HF trials and often present with multiple comorbidities, including frailty, depression, nutritional, functional and cognitive impairments. Additionally, pharmacologic challenges such as adherence to therapy, polypharmacy, altered drug pharmacokinetics and/or renal derangements make them less likely to receive guideline-directed medical therapies for HF. Recognition of these various interrelated domains is key and should prompt a multidisciplinary, holistic management approach so as to optimize prognosis in this vulnerable subset of the population. Science Press 2019-05 /pmc/articles/PMC6558575/ /pubmed/31217795 http://dx.doi.org/10.11909/j.issn.1671-5411.2019.05.010 Text en Institute of Geriatric Cardiology http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, which allows readers to alter, transform, or build upon the article and then distribute the resulting work under the same or similar license to this one. The work must be attributed back to the original author and commercial use is not permitted without specific permission. |
spellingShingle | Review Kumar, Kartik Afonso, Luis Cardiovascular risk prediction in the elderly |
title | Cardiovascular risk prediction in the elderly |
title_full | Cardiovascular risk prediction in the elderly |
title_fullStr | Cardiovascular risk prediction in the elderly |
title_full_unstemmed | Cardiovascular risk prediction in the elderly |
title_short | Cardiovascular risk prediction in the elderly |
title_sort | cardiovascular risk prediction in the elderly |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558575/ https://www.ncbi.nlm.nih.gov/pubmed/31217795 http://dx.doi.org/10.11909/j.issn.1671-5411.2019.05.010 |
work_keys_str_mv | AT kumarkartik cardiovascularriskpredictionintheelderly AT afonsoluis cardiovascularriskpredictionintheelderly |