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Symptom clusters and quality of life among patients with advanced heart failure

OBJECTIVES: To identify symptom clusters among patients with advanced heart failure (HF) and the independent relationships with their quality of life (QoL). METHODS: This is the secondary data analysis of a cross-sectional study which interviewed 119 patients with advanced HF in the geriatric unit o...

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Autores principales: Yu, Doris SF, Chan, Helen YL, Leung, Doris YP, Hui, Elsie, Sit, Janet WH
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923453/
https://www.ncbi.nlm.nih.gov/pubmed/27403150
http://dx.doi.org/10.11909/j.issn.1671-5411.2016.05.014
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author Yu, Doris SF
Chan, Helen YL
Leung, Doris YP
Hui, Elsie
Sit, Janet WH
author_facet Yu, Doris SF
Chan, Helen YL
Leung, Doris YP
Hui, Elsie
Sit, Janet WH
author_sort Yu, Doris SF
collection PubMed
description OBJECTIVES: To identify symptom clusters among patients with advanced heart failure (HF) and the independent relationships with their quality of life (QoL). METHODS: This is the secondary data analysis of a cross-sectional study which interviewed 119 patients with advanced HF in the geriatric unit of a regional hospital in Hong Kong. The symptom profile and QoL were assessed by using the Edmonton Symptom Assessment Scale (ESAS) and the McGill QoL Questionnaire. Exploratory factor analysis was used to identify the symptom clusters. Hierarchical regression analysis was used to examine the independent relationships with their QoL, after adjusting the effects of age, gender, and comorbidities. RESULTS: The patients were at an advanced age (82.9 ± 6.5 years). Three distinct symptom clusters were identified: they were the distress cluster (including shortness of breath, anxiety, and depression), the decondition cluster (fatigue, drowsiness, nausea, and reduced appetite), and the discomfort cluster (pain, and sense of generalized discomfort). These three symptom clusters accounted for 63.25% of variance of the patients' symptom experience. The small to moderate correlations between these symptom clusters indicated that they were rather independent of one another. After adjusting the age, gender and comorbidities, the distress (β = −0.635, P < 0.001), the decondition (β = −0.148, P = 0.01), and the discomfort (β = −0.258, P < 0.001) symptom clusters independently predicted their QoL. CONCLUSIONS: This study identified the distinctive symptom clusters among patients with advanced HF. The results shed light on the need to develop palliative care interventions for optimizing the symptom control for this life-limiting disease.
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spelling pubmed-49234532016-07-12 Symptom clusters and quality of life among patients with advanced heart failure Yu, Doris SF Chan, Helen YL Leung, Doris YP Hui, Elsie Sit, Janet WH J Geriatr Cardiol Symposium: Heart failure management for the elderly OBJECTIVES: To identify symptom clusters among patients with advanced heart failure (HF) and the independent relationships with their quality of life (QoL). METHODS: This is the secondary data analysis of a cross-sectional study which interviewed 119 patients with advanced HF in the geriatric unit of a regional hospital in Hong Kong. The symptom profile and QoL were assessed by using the Edmonton Symptom Assessment Scale (ESAS) and the McGill QoL Questionnaire. Exploratory factor analysis was used to identify the symptom clusters. Hierarchical regression analysis was used to examine the independent relationships with their QoL, after adjusting the effects of age, gender, and comorbidities. RESULTS: The patients were at an advanced age (82.9 ± 6.5 years). Three distinct symptom clusters were identified: they were the distress cluster (including shortness of breath, anxiety, and depression), the decondition cluster (fatigue, drowsiness, nausea, and reduced appetite), and the discomfort cluster (pain, and sense of generalized discomfort). These three symptom clusters accounted for 63.25% of variance of the patients' symptom experience. The small to moderate correlations between these symptom clusters indicated that they were rather independent of one another. After adjusting the age, gender and comorbidities, the distress (β = −0.635, P < 0.001), the decondition (β = −0.148, P = 0.01), and the discomfort (β = −0.258, P < 0.001) symptom clusters independently predicted their QoL. CONCLUSIONS: This study identified the distinctive symptom clusters among patients with advanced HF. The results shed light on the need to develop palliative care interventions for optimizing the symptom control for this life-limiting disease. Science Press 2016-07 /pmc/articles/PMC4923453/ /pubmed/27403150 http://dx.doi.org/10.11909/j.issn.1671-5411.2016.05.014 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 Symposium: Heart failure management for the elderly
Yu, Doris SF
Chan, Helen YL
Leung, Doris YP
Hui, Elsie
Sit, Janet WH
Symptom clusters and quality of life among patients with advanced heart failure
title Symptom clusters and quality of life among patients with advanced heart failure
title_full Symptom clusters and quality of life among patients with advanced heart failure
title_fullStr Symptom clusters and quality of life among patients with advanced heart failure
title_full_unstemmed Symptom clusters and quality of life among patients with advanced heart failure
title_short Symptom clusters and quality of life among patients with advanced heart failure
title_sort symptom clusters and quality of life among patients with advanced heart failure
topic Symposium: Heart failure management for the elderly
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923453/
https://www.ncbi.nlm.nih.gov/pubmed/27403150
http://dx.doi.org/10.11909/j.issn.1671-5411.2016.05.014
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