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Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy

BACKGROUND: To identify symptom distress and clusters in patients 3 months after radical cystectomy and to explore their potential predictors. METHODS: A cross-sectional design was used to investigate 99 bladder cancer patients 3 months after radical cystectomy. Data were collected by demographic an...

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Autores principales: Ren, Hongyan, Tang, Ping, Zhao, Qinghua, Ren, Guosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569499/
https://www.ncbi.nlm.nih.gov/pubmed/28835243
http://dx.doi.org/10.1186/s12894-017-0255-x
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author Ren, Hongyan
Tang, Ping
Zhao, Qinghua
Ren, Guosheng
author_facet Ren, Hongyan
Tang, Ping
Zhao, Qinghua
Ren, Guosheng
author_sort Ren, Hongyan
collection PubMed
description BACKGROUND: To identify symptom distress and clusters in patients 3 months after radical cystectomy and to explore their potential predictors. METHODS: A cross-sectional design was used to investigate 99 bladder cancer patients 3 months after radical cystectomy. Data were collected by demographic and disease characteristic questionnaires, the symptom experience scale of the M.D. Anderson symptom inventory, two additional symptoms specific to radical cystectomy, and the functional assessment of cancer therapy questionnaire. A factor analysis, stepwise regression, and correlation analysis were applied. RESULTS: Three symptom clusters were identified: fatigue-malaise, gastrointestinal, and psycho-urinary. Age, complication severity, albumin post-surgery (negative), orthotropic neobladder reconstruction, adjuvant chemotherapy and American Society of Anesthesiologists (ASA) scores were significant predictors of fatigue-malaise. Adjuvant chemotherapy, orthotropic neobladder reconstruction, female gender, ASA scores and albumin (negative) were significant predictors of gastrointestinal symptoms. Being unmarried, having a higher educational level and complication severity were significant predictors of psycho-urinary symptoms. The correlations between clusters and for each cluster with quality of life were significant, with the highest correlation observed between the psycho-urinary cluster and quality of life. CONCLUSIONS: Bladder cancer patients experience concurrent symptoms that appear to cluster and are significantly correlated with quality of life. Moreover, symptom clusters may be predicted by certain demographic and clinical characteristics.
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spelling pubmed-55694992017-08-29 Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy Ren, Hongyan Tang, Ping Zhao, Qinghua Ren, Guosheng BMC Urol Research Article BACKGROUND: To identify symptom distress and clusters in patients 3 months after radical cystectomy and to explore their potential predictors. METHODS: A cross-sectional design was used to investigate 99 bladder cancer patients 3 months after radical cystectomy. Data were collected by demographic and disease characteristic questionnaires, the symptom experience scale of the M.D. Anderson symptom inventory, two additional symptoms specific to radical cystectomy, and the functional assessment of cancer therapy questionnaire. A factor analysis, stepwise regression, and correlation analysis were applied. RESULTS: Three symptom clusters were identified: fatigue-malaise, gastrointestinal, and psycho-urinary. Age, complication severity, albumin post-surgery (negative), orthotropic neobladder reconstruction, adjuvant chemotherapy and American Society of Anesthesiologists (ASA) scores were significant predictors of fatigue-malaise. Adjuvant chemotherapy, orthotropic neobladder reconstruction, female gender, ASA scores and albumin (negative) were significant predictors of gastrointestinal symptoms. Being unmarried, having a higher educational level and complication severity were significant predictors of psycho-urinary symptoms. The correlations between clusters and for each cluster with quality of life were significant, with the highest correlation observed between the psycho-urinary cluster and quality of life. CONCLUSIONS: Bladder cancer patients experience concurrent symptoms that appear to cluster and are significantly correlated with quality of life. Moreover, symptom clusters may be predicted by certain demographic and clinical characteristics. BioMed Central 2017-08-23 /pmc/articles/PMC5569499/ /pubmed/28835243 http://dx.doi.org/10.1186/s12894-017-0255-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ren, Hongyan
Tang, Ping
Zhao, Qinghua
Ren, Guosheng
Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
title Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
title_full Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
title_fullStr Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
title_full_unstemmed Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
title_short Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
title_sort symptom clusters and related factors in bladder cancer patients three months after radical cystectomy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569499/
https://www.ncbi.nlm.nih.gov/pubmed/28835243
http://dx.doi.org/10.1186/s12894-017-0255-x
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