Symptoms Predicting Health-related Quality of Life in Prostate Cancer Patients Treated with Localized Radiation Therapy
Overview
Public Health
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Objective: Patient-reported health-related quality-of-life (HRQOL) measures can provide guidance for treatment decision making, symptom management, and discharge planning. HRQOL is often influenced by the distress experienced by patients from disease or treatment-related symptoms. This study aimed to identify symptoms that can predict changes in HRQOL in men undergoing external beam radiation therapy (EBRT) for nonmetastatic prostate cancer (NMPC).
Methods: Fifty-one men with NMPC scheduled for EBRT were assessed at the baseline, at the midpoint of EBRT, and at the end of EBRT. All participants received 38-42 daily doses of EBRT (five times a week), depending on the stage of their disease. Validated questionnaires were administered to evaluate depressive symptoms, urinary and sexual functions, bowel issues, symptom-related distress, fatigue, and HRQOL. Pearson correlations, repeated-measures ANOVA, and multiple regressions examined the relationships among variables.
Results: Intensification of symptoms and increased symptom-related distress, with a corresponding decline in HRQOL, were observed during EBRT in men with NMPC. Changes in symptoms and symptom distress were associated with changes in HRQOL at the midpoint of EBRT (=-0.37 to -0.6, =0.05) and at the end of EBRT (=-0.3 to -0.47, =0.01) compared with the baseline. The regression model comprising age, body mass index, Gleason score, T category, androgen-deprivation therapy use, radiation dose received, symptoms (urinary/sexual/bowel problems, fatigue), and overall symptom distress explained 70% of the variance in predicting HRQOL. Urinary problems and fatigue significantly predicted the decline in HRQOL during EBRT.
Conclusion: Identifying specific symptoms that can influence HRQOL during EBRT for NMPC can provide feasible interventional targets to improve treatment outcomes.
Andreou L, Burrows T, Surjan Y J Med Radiat Sci. 2021; 68(4):453-464.
PMID: 34288532 PMC: 8655625. DOI: 10.1002/jmrs.531.
Data-driven translational prostate cancer research: from biomarker discovery to clinical decision.
Lin Y, Zhao X, Miao Z, Ling Z, Wei X, Pu J J Transl Med. 2020; 18(1):119.
PMID: 32143723 PMC: 7060655. DOI: 10.1186/s12967-020-02281-4.