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Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer

PURPOSE: The aims of the present study were to investigate the symptom clusters in terminally ill patients with cancer using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL), and to examine whether these symptom...

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Autores principales: Koyama, Nanako, Matsumura, Chikako, Tahara, Yuuna, Sako, Morito, Kurosawa, Hideo, Nomura, Takehisa, Eguchi, Yuki, Ohba, Kazuki, Yano, Yoshitaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636418/
https://www.ncbi.nlm.nih.gov/pubmed/34241700
http://dx.doi.org/10.1007/s00520-021-06380-w
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author Koyama, Nanako
Matsumura, Chikako
Tahara, Yuuna
Sako, Morito
Kurosawa, Hideo
Nomura, Takehisa
Eguchi, Yuki
Ohba, Kazuki
Yano, Yoshitaka
author_facet Koyama, Nanako
Matsumura, Chikako
Tahara, Yuuna
Sako, Morito
Kurosawa, Hideo
Nomura, Takehisa
Eguchi, Yuki
Ohba, Kazuki
Yano, Yoshitaka
author_sort Koyama, Nanako
collection PubMed
description PURPOSE: The aims of the present study were to investigate the symptom clusters in terminally ill patients with cancer using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL), and to examine whether these symptom clusters influenced prognosis. METHODS: We analyzed data from 130 cancer patients hospitalized in the palliative care unit from June 2018 to December 2019 in an observational study. Principal component analysis was used to detect symptom clusters using the scored date of 14 items in the QLQ-C15-PAL, except for overall QOL, at the time of hospitalization. The influence of the existence of these symptom clusters and Palliative Performance Scale (PPS) on survival was analyzed by Cox proportional hazards regression analysis, and survival curves were compared between the groups with or without existing corresponding symptom clusters using the log-rank test. RESULTS: The following symptom clusters were identified: cluster 1 (pain, insomnia, emotional functioning), cluster 2 (dyspnea, appetite loss, fatigue, and nausea), and cluster 3 (physical functioning). Cronbach’s alpha values for the symptom clusters ranged from 0.72 to 0.82. An increased risk of death was significantly associated with the existence of cluster 2 and poor PPS (log-rank test, p = 0.016 and p < 0.001, respectively). CONCLUSION: In terminally ill patients with cancer, three symptom clusters were detected based on QLQ-C15-PAL scores. Poor PPS and the presence of symptom cluster that includes dyspnea, appetite loss, fatigue, and nausea indicated poor prognosis.
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spelling pubmed-86364182021-12-03 Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer Koyama, Nanako Matsumura, Chikako Tahara, Yuuna Sako, Morito Kurosawa, Hideo Nomura, Takehisa Eguchi, Yuki Ohba, Kazuki Yano, Yoshitaka Support Care Cancer Original Article PURPOSE: The aims of the present study were to investigate the symptom clusters in terminally ill patients with cancer using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL), and to examine whether these symptom clusters influenced prognosis. METHODS: We analyzed data from 130 cancer patients hospitalized in the palliative care unit from June 2018 to December 2019 in an observational study. Principal component analysis was used to detect symptom clusters using the scored date of 14 items in the QLQ-C15-PAL, except for overall QOL, at the time of hospitalization. The influence of the existence of these symptom clusters and Palliative Performance Scale (PPS) on survival was analyzed by Cox proportional hazards regression analysis, and survival curves were compared between the groups with or without existing corresponding symptom clusters using the log-rank test. RESULTS: The following symptom clusters were identified: cluster 1 (pain, insomnia, emotional functioning), cluster 2 (dyspnea, appetite loss, fatigue, and nausea), and cluster 3 (physical functioning). Cronbach’s alpha values for the symptom clusters ranged from 0.72 to 0.82. An increased risk of death was significantly associated with the existence of cluster 2 and poor PPS (log-rank test, p = 0.016 and p < 0.001, respectively). CONCLUSION: In terminally ill patients with cancer, three symptom clusters were detected based on QLQ-C15-PAL scores. Poor PPS and the presence of symptom cluster that includes dyspnea, appetite loss, fatigue, and nausea indicated poor prognosis. Springer Berlin Heidelberg 2021-07-09 2022 /pmc/articles/PMC8636418/ /pubmed/34241700 http://dx.doi.org/10.1007/s00520-021-06380-w Text en © The Author(s) 2021 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 Original Article
Koyama, Nanako
Matsumura, Chikako
Tahara, Yuuna
Sako, Morito
Kurosawa, Hideo
Nomura, Takehisa
Eguchi, Yuki
Ohba, Kazuki
Yano, Yoshitaka
Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
title Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
title_full Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
title_fullStr Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
title_full_unstemmed Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
title_short Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer
title_sort symptom clusters and their influence on prognosis using eortc qlq-c15-pal scores in terminally ill patients with cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636418/
https://www.ncbi.nlm.nih.gov/pubmed/34241700
http://dx.doi.org/10.1007/s00520-021-06380-w
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