The impact of comorbidity on Health-Related Quality of Life among cancer survivors: analyses of data from the PROFILES registry

Vissers, Pauline A. J.; Thong, Melissa S. Y.; Pouwer, Frans; Zanders, M.M.J.; Coebergh, Jan Willem; Poll‐Franse, Lonneke V. van de

doi:10.1007/s11764-013-0299-1

Cited by 99 publications

(80 citation statements)

References 40 publications

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“…However, our results are broadly consistent with the few studies conducted in patients with other hematologic malignancies (mainly Hodgkin's and non-Hodgkin's lymphoma patients) indicating the negative impact of comorbidities on patients' HRQOL [26][27][28].…”

Section: Discussionsupporting

confidence: 91%

The impact of comorbidity on health-related quality of life in elderly patients with chronic myeloid leukemia

Efficace¹,

Rosti

Breccia

et al. 2015

Ann Hematol

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The primary objective of this study was to investigate whether the presence of comorbidities was associated with a lower health-related quality of life (HRQOL) in elderly patients with chronic myeloid leukemia (CML). A sample of 174 CML patients aged 60 years or above was analyzed. HRQOL was assessed with the Medical Outcomes Study 36-Item ShortForm Health Survey (SF-36). A number of pre-selected sociodemographic and disease-related factors were considered as potential confounding factors for the association between comorbidity and HRQOL. Mean age of the 174 patients analyzed was 70 years (range 60-87 years) and 55 % were male. Overall, 111 patients (64 %) reported at least one comorbidity. Analysis stratified by age group category showed a greater proportion of patients with comorbidities in the older subgroup population (≥70 years) compared to younger patients (60 to 69 years). Differences in HRQOL outcomes between patients with no comorbidity at all and those with two or more comorbid conditions were at least twice the magnitude of a clinically meaningful difference in all the physical and mental health scales of the SF-36. In multivariate analysis, after adjusting for key confounding factors, the following scales were significantly lower in those with comorbidity: general health (p<0.001), bodily pain (p<0.001), physical functioning (p=0.002), and vitality (p=0.002). Assessing comorbidity in elderly patients with CML is important to facilitate identification of those most in need of HRQOL improvements.

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Section: Discussionsupporting

confidence: 91%

The impact of comorbidity on health-related quality of life in elderly patients with chronic myeloid leukemia

Efficace¹,

Rosti

Breccia

et al. 2015

Ann Hematol

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“…Patients with more comorbidities reported higher average pain scores before RT. Previous studies of patients with HNC 50 and heterogeneous cancer diagnoses 39,52,55 reported similar results. This finding may be associated with the co-occurrence of other painful conditions (eg, neck/back pain, osteoarthritis).…”

Section: Predictors Of Each Pain Characteristicsupporting

confidence: 73%

Changes in and predictors of pain characteristics in patients with head and neck cancer undergoing radiotherapy

Astrup

Rustøen

Miaskowski

et al. 2015

Pain

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Pain is a common symptom in patients with head and neck cancer (HNC) that is associated with significant decrements in physical and psychological functioning. Only 4 studies have evaluated for changes in and predictors of different pain characteristics in these patients. In this longitudinal study of patients with HNC, changes in pain intensity (i.e., average pain, worst pain), pain interference with function, and pain relief were evaluated from the initiation of radiotherapy and through the following 6 months. Hierarchical linear modeling was used to evaluate for changes over time in these 4 pain characteristics, as well as to identify predictors of interindividual variability in each characteristic. Overall, pain intensity and interference with function scores were in the mild-to-moderate range, while pain relief scores were in the moderate range. The occurrence of pain, as well as scores for each pain characteristic, increased from the initiation to the completion of radiotherapy, followed by a gradual decrease to near pretreatment levels at 6 months. However, interindividual variability existed in patients' ratings of each pain characteristic. Predictors of more severe pain characteristic scores were more comorbidities, worse physical functioning, not having surgery before radiotherapy, difficulty swallowing, mouth sores, sleep disturbance, fatigue, more energy, and less social support. Patients with more depressive symptoms had better pain relief. Although some of the predictors cannot be modified (e.g., rrence of surgery), other predictors (e.g., symptoms) can be treated. Therefore, information about these predictors may result in decreased pain in patients with HNC.

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“…Similarly, other studies have reported that increasing number of comorbid conditions were associated with fatigue [22]. We previously found that comorbidity explained a greater proportion of the variance in fatigue scores than clinical or socioeconomic demographic variables [39].…”

Section: Fatigue Variationsmentioning

confidence: 51%

Variation in fatigue among 6011 (long-term) cancer survivors and a normative population: a study from the population-based PROFILES registry

Husson

Mols

Poll-Franse

et al. 2015

Support Care Cancer

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Fatigue levels are substantial in (long-term) cancer survivors and vary depending on cancer type, time since diagnosis, age, gender, treatment with chemotherapy, number of comorbid conditions, educational level, and partnership. Since significantly more cancer survivors feel fatigued in comparison with the normative population, appropriate information, assessment, and interventions for fatigue are needed during or after oncologic treatment. Furthermore, focus on better control or management of comorbid conditions of cancer survivors is recommended.

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The impact of comorbidity on Health-Related Quality of Life among cancer survivors: analyses of data from the PROFILES registry

Abstract: Cancer survivors suffering from comorbid diseases experience lower levels of health-related quality of life. Clinicians should become more aware of the impact of comorbidity on HRQoL and provide necessary psychological support to assist self-management of comorbid diseases.

Cited by 99 publications

References 40 publications

The impact of comorbidity on health-related quality of life in elderly patients with chronic myeloid leukemia

The impact of comorbidity on health-related quality of life in elderly patients with chronic myeloid leukemia

Changes in and predictors of pain characteristics in patients with head and neck cancer undergoing radiotherapy

Variation in fatigue among 6011 (long-term) cancer survivors and a normative population: a study from the population-based PROFILES registry

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