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Factors predicting clinically significant fatigue in women following treatment for primary breast cancer

Cancer-related fatigue is common, complex, and distressing. It affects 70–100% of patients receiving chemotherapy and a significant number who have completed their treatments. We assessed a number of variables in women newly diagnosed with primary breast cancer (BrCa) to determine whether biological...

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Autores principales: Gerber, Lynn H., Stout, Nicole, McGarvey, Charles, Soballe, Peter, Shieh, Ching-yi, Diao, Guoqing, Springer, Barbara A., Pfalzer, Lucinda A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166607/
https://www.ncbi.nlm.nih.gov/pubmed/20835835
http://dx.doi.org/10.1007/s00520-010-0986-7
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author Gerber, Lynn H.
Stout, Nicole
McGarvey, Charles
Soballe, Peter
Shieh, Ching-yi
Diao, Guoqing
Springer, Barbara A.
Pfalzer, Lucinda A.
author_facet Gerber, Lynn H.
Stout, Nicole
McGarvey, Charles
Soballe, Peter
Shieh, Ching-yi
Diao, Guoqing
Springer, Barbara A.
Pfalzer, Lucinda A.
author_sort Gerber, Lynn H.
collection PubMed
description Cancer-related fatigue is common, complex, and distressing. It affects 70–100% of patients receiving chemotherapy and a significant number who have completed their treatments. We assessed a number of variables in women newly diagnosed with primary breast cancer (BrCa) to determine whether biological and/or functional measures are likely to be associated with the development of clinically significant fatigue (CSF). Two hundred twenty-three women participated in a study designed to document the impact of the diagnosis and treatment of primary breast cancer on function. Forty-four had complete data on all variables of interest at the time of confirmed diagnosis but prior to treatment (baseline) and ≥9 months post-diagnosis. Objective measures and descriptive variables included history, physical examination, limb volume, hemoglobin, white blood cell count, and glucose. Patient-reported outcomes included a verbal numerical rating of fatigue (0–10, a score of ≥4 was CSF), five subscales of the SF-36, Physical Activity Survey, and Sleep Questionnaire. At baseline, the entire cohort (n = 223) and the subset (n = 44) were not significantly different for demographic, biological, and self-reported data, except for younger age (p = 0.03) and ER+ (p = 0.01). Forty-five percent had body mass index (BMI) ≥ 25, 52% were post-menopause, and 52% received modified radical mastectomy, 39% lumpectomy, 52% chemotherapy, 68% radiation, and 86% hormonal therapy. Number of patients with CSF increased from 1 at baseline to 11 at ≥9 months of follow-up. CSF at ≥9 months significantly correlated with BMI ≥ 25, abnormal white blood cell count, and increase in limb volume and inversely correlated with vigorous activity and physical function (p < 0.05). Fatigue increases significantly following the treatment of BrCa. Predictors of CSF include high BMI and WBC count, increase in limb volume, and low level of physical activity. These are remediable.
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spelling pubmed-31666072011-09-26 Factors predicting clinically significant fatigue in women following treatment for primary breast cancer Gerber, Lynn H. Stout, Nicole McGarvey, Charles Soballe, Peter Shieh, Ching-yi Diao, Guoqing Springer, Barbara A. Pfalzer, Lucinda A. Support Care Cancer Original Article Cancer-related fatigue is common, complex, and distressing. It affects 70–100% of patients receiving chemotherapy and a significant number who have completed their treatments. We assessed a number of variables in women newly diagnosed with primary breast cancer (BrCa) to determine whether biological and/or functional measures are likely to be associated with the development of clinically significant fatigue (CSF). Two hundred twenty-three women participated in a study designed to document the impact of the diagnosis and treatment of primary breast cancer on function. Forty-four had complete data on all variables of interest at the time of confirmed diagnosis but prior to treatment (baseline) and ≥9 months post-diagnosis. Objective measures and descriptive variables included history, physical examination, limb volume, hemoglobin, white blood cell count, and glucose. Patient-reported outcomes included a verbal numerical rating of fatigue (0–10, a score of ≥4 was CSF), five subscales of the SF-36, Physical Activity Survey, and Sleep Questionnaire. At baseline, the entire cohort (n = 223) and the subset (n = 44) were not significantly different for demographic, biological, and self-reported data, except for younger age (p = 0.03) and ER+ (p = 0.01). Forty-five percent had body mass index (BMI) ≥ 25, 52% were post-menopause, and 52% received modified radical mastectomy, 39% lumpectomy, 52% chemotherapy, 68% radiation, and 86% hormonal therapy. Number of patients with CSF increased from 1 at baseline to 11 at ≥9 months of follow-up. CSF at ≥9 months significantly correlated with BMI ≥ 25, abnormal white blood cell count, and increase in limb volume and inversely correlated with vigorous activity and physical function (p < 0.05). Fatigue increases significantly following the treatment of BrCa. Predictors of CSF include high BMI and WBC count, increase in limb volume, and low level of physical activity. These are remediable. Springer-Verlag 2010-09-12 2011 /pmc/articles/PMC3166607/ /pubmed/20835835 http://dx.doi.org/10.1007/s00520-010-0986-7 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Original Article
Gerber, Lynn H.
Stout, Nicole
McGarvey, Charles
Soballe, Peter
Shieh, Ching-yi
Diao, Guoqing
Springer, Barbara A.
Pfalzer, Lucinda A.
Factors predicting clinically significant fatigue in women following treatment for primary breast cancer
title Factors predicting clinically significant fatigue in women following treatment for primary breast cancer
title_full Factors predicting clinically significant fatigue in women following treatment for primary breast cancer
title_fullStr Factors predicting clinically significant fatigue in women following treatment for primary breast cancer
title_full_unstemmed Factors predicting clinically significant fatigue in women following treatment for primary breast cancer
title_short Factors predicting clinically significant fatigue in women following treatment for primary breast cancer
title_sort factors predicting clinically significant fatigue in women following treatment for primary breast cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3166607/
https://www.ncbi.nlm.nih.gov/pubmed/20835835
http://dx.doi.org/10.1007/s00520-010-0986-7
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