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Symptoms Predictive of Overall Quality of Life Using the Edmonton Symptom Assessment Scale in Breast Cancer Patients Receiving Radiotherapy.

Authors :
Chow S
Wan BA
Pidduck W
Zhang L
DeAngelis C
Chan S
Yee C
Drost L
Leung E
Sousa P
Lewis D
Lam H
Chow R
Lock M
Chow E
Source :
Clinical breast cancer [Clin Breast Cancer] 2019 Dec; Vol. 19 (6), pp. 405-410. Date of Electronic Publication: 2019 May 18.
Publication Year :
2019

Abstract

Background: Breast cancer patients often experience multiple symptoms that negatively affect quality of life (QOL). Patient-reported scores on symptom screening tools are used by health care professionals to manage QOL. We aimed to examine which symptoms from the Edmonton Symptom Assessment Scale (ESAS) were most predictive of overall well-being (QOL) in breast cancer patients over the course of radiotherapy (RT).<br />Patients and Methods: ESAS results completed before, at the end of, and after RT were obtained from all nonmetastatic breast cancer patients. Univariate and multivariable (backward stepwise selection) linear regression analyses were applied to select the most significant ESAS symptoms or treatment variables related to overall QOL at all 3 time points.<br />Results: A total of 1224 patients were included in the study. Before RT, multivariable analysis identified 5 symptoms that were significantly associated with overall QOL: pain, tiredness, anxiety, depression, and loss of appetite. At the end of RT, pain, tiredness, and anxiety were the most significant predictors of QOL. After RT, 6 symptoms were found to have the strongest correlation with QOL: pain, tiredness, anxiety, depression, loss of appetite, and drowsiness. At each time point, patients with higher scores for the identified significant symptoms were likely to have a worse overall QOL.<br />Conclusion: Of the ESAS symptoms identified as significant predictors of QOL, pain, tiredness, and anxiety correlated with overall well-being at all time points. Special attention should be paid to manage symptoms that are most predictive of overall QOL in order to ensure optimal symptom management in breast cancer patients receiving RT.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1938-0666
Volume :
19
Issue :
6
Database :
MEDLINE
Journal :
Clinical breast cancer
Publication Type :
Academic Journal
Accession number :
31182402
Full Text :
https://doi.org/10.1016/j.clbc.2019.05.007