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Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies
REVIEW PURPOSE: This review summarises key findings on treatment effects within phenotypical clusters of patients with heart failure (HF), making a distinction between patients with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). FINDINGS: Treatment response differed among...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589138/ https://www.ncbi.nlm.nih.gov/pubmed/37658971 http://dx.doi.org/10.1007/s11897-023-00626-w |
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author | van de Veerdonk, Mariëlle C. Savarese, Gianluigi Handoko, M. Louis Beulens, Joline W.J. Asselbergs, Folkert Uijl, Alicia |
author_facet | van de Veerdonk, Mariëlle C. Savarese, Gianluigi Handoko, M. Louis Beulens, Joline W.J. Asselbergs, Folkert Uijl, Alicia |
author_sort | van de Veerdonk, Mariëlle C. |
collection | PubMed |
description | REVIEW PURPOSE: This review summarises key findings on treatment effects within phenotypical clusters of patients with heart failure (HF), making a distinction between patients with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). FINDINGS: Treatment response differed among clusters; ACE inhibitors were beneficial in all HFrEF phenotypes, while only some studies show similar beneficial prognostic effects in HFpEF patients. Beta-blockers had favourable effects in all HFrEF patients but not in HFpEF phenotypes and tended to worsen prognosis in older, cardiorenal patients. Mineralocorticoid receptor antagonists had more favourable prognostic effects in young, obese males and metabolic HFpEF patients. While a phenotype-guided approach is a promising solution for individualised treatment strategies, there are several aspects that still require improvements before such an approach could be implemented in clinical practice. SUMMARY: Stronger evidence from clinical trials and real-world data may assist in establishing a phenotype-guided treatment approach for patient with HF in the future. |
format | Online Article Text |
id | pubmed-10589138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-105891382023-10-22 Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies van de Veerdonk, Mariëlle C. Savarese, Gianluigi Handoko, M. Louis Beulens, Joline W.J. Asselbergs, Folkert Uijl, Alicia Curr Heart Fail Rep Article REVIEW PURPOSE: This review summarises key findings on treatment effects within phenotypical clusters of patients with heart failure (HF), making a distinction between patients with preserved ejection fraction (HFpEF) and reduced ejection fraction (HFrEF). FINDINGS: Treatment response differed among clusters; ACE inhibitors were beneficial in all HFrEF phenotypes, while only some studies show similar beneficial prognostic effects in HFpEF patients. Beta-blockers had favourable effects in all HFrEF patients but not in HFpEF phenotypes and tended to worsen prognosis in older, cardiorenal patients. Mineralocorticoid receptor antagonists had more favourable prognostic effects in young, obese males and metabolic HFpEF patients. While a phenotype-guided approach is a promising solution for individualised treatment strategies, there are several aspects that still require improvements before such an approach could be implemented in clinical practice. SUMMARY: Stronger evidence from clinical trials and real-world data may assist in establishing a phenotype-guided treatment approach for patient with HF in the future. Springer US 2023-09-02 2023 /pmc/articles/PMC10589138/ /pubmed/37658971 http://dx.doi.org/10.1007/s11897-023-00626-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article van de Veerdonk, Mariëlle C. Savarese, Gianluigi Handoko, M. Louis Beulens, Joline W.J. Asselbergs, Folkert Uijl, Alicia Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies |
title | Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies |
title_full | Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies |
title_fullStr | Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies |
title_full_unstemmed | Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies |
title_short | Multimorbidity in Heart Failure: Leveraging Cluster Analysis to Guide Tailored Treatment Strategies |
title_sort | multimorbidity in heart failure: leveraging cluster analysis to guide tailored treatment strategies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589138/ https://www.ncbi.nlm.nih.gov/pubmed/37658971 http://dx.doi.org/10.1007/s11897-023-00626-w |
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