Maria Pisu1,2, Andres Azuero3, Karina I Halilova4, Courtney P Williams4, Kelly M Kenzik2,4, Elizabeth A Kvale2,5, Grant R Williams2,4, Karen Meneses2,3, Margaret Sullivan6, Supriya Kumar Yagnik7, Hans-Peter Goertz7, Gabrielle B Rocque2,4. 1. Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama. 2. University of Alabama at Birmingham Comprehensive Cancer Center, Birmingham, Alabama. 3. School of Nursing, University of Alabama at Birmingham, Birmingham, Alabama. 4. Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, Alabama. 5. Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham, Birmingham, Alabama. 6. Mitchell Cancer Institute, University of South Alabama, Mobile, Alabama. 7. Genentech Inc, South San Francisco, California.
Abstract
BACKGROUND: As the population of older adults with cancer continues to grow, the most important factors contributing to their health-related quality of life (HRQOL) remain unclear. METHODS: A total of 1457 older adults (aged ≥65 years) with cancer participated in a telephone survey. Outcomes were measured using the Physical Component Summary (PCS) and Mental Component Summary (MCS) scores of the 12-Item Short Form Survey (SF-12) from the Medical Outcomes Study (version 2). Statistical techniques used to identify factors in 4 domains (physical, psychological, social, and spiritual) most strongly associated with HRQOL included linear models, recursive partitioning, and random forests. Models were developed in a training data set (920 respondents) and performance was assessed in a validation data set (537 respondents). RESULTS: Respondents were a median of 19 months from diagnosis, and 28.1% were receiving active treatment. The most relevant factors found to be associated with PCS were symptom severity, comorbidity scores, leisure-time physical activity, and having physical support needs. The most relevant factors for MCS were having emotional support needs, symptom severity score, and the number of financial hardship events. Results were consistent across modeling techniques. Symptoms found to be strongly associated with PCS included fatigue (adjusted proportion of summary score's variance [R2 ] = 0.34), pain (adjusted R2 = 0.32), disturbed sleep (adjusted R2 = 0.16), and drowsiness (adjusted R2 = 0.16). Symptoms found to be strongly associated with MCS included fatigue (adjusted R2 = 0.23), problems remembering things (adjusted R2 = 0.17), disturbed sleep (adjusted R2 = 0.16), and lack of appetite (adjusted R2 = 0.16). CONCLUSIONS: The findings of the current study support the importance of addressing persistent symptoms, managing comorbidities, promoting leisure-time physical activity, and addressing financial challenges. A long-term comprehensive approach is needed to ensure the well-being of older adults with cancer. Cancer 2018;124:596-605.
BACKGROUND: As the population of older adults with cancer continues to grow, the most important factors contributing to their health-related quality of life (HRQOL) remain unclear. METHODS: A total of 1457 older adults (aged ≥65 years) with cancer participated in a telephone survey. Outcomes were measured using the Physical Component Summary (PCS) and Mental Component Summary (MCS) scores of the 12-Item Short Form Survey (SF-12) from the Medical Outcomes Study (version 2). Statistical techniques used to identify factors in 4 domains (physical, psychological, social, and spiritual) most strongly associated with HRQOL included linear models, recursive partitioning, and random forests. Models were developed in a training data set (920 respondents) and performance was assessed in a validation data set (537 respondents). RESULTS: Respondents were a median of 19 months from diagnosis, and 28.1% were receiving active treatment. The most relevant factors found to be associated with PCS were symptom severity, comorbidity scores, leisure-time physical activity, and having physical support needs. The most relevant factors for MCS were having emotional support needs, symptom severity score, and the number of financial hardship events. Results were consistent across modeling techniques. Symptoms found to be strongly associated with PCS included fatigue (adjusted proportion of summary score's variance [R2 ] = 0.34), pain (adjusted R2 = 0.32), disturbed sleep (adjusted R2 = 0.16), and drowsiness (adjusted R2 = 0.16). Symptoms found to be strongly associated with MCS included fatigue (adjusted R2 = 0.23), problems remembering things (adjusted R2 = 0.17), disturbed sleep (adjusted R2 = 0.16), and lack of appetite (adjusted R2 = 0.16). CONCLUSIONS: The findings of the current study support the importance of addressing persistent symptoms, managing comorbidities, promoting leisure-time physical activity, and addressing financial challenges. A long-term comprehensive approach is needed to ensure the well-being of older adults with cancer. Cancer 2018;124:596-605.
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