Differences in Composition of Symptom Clusters Between Older and Younger Oncology Patients

Yates, Patsy; Miaskowski, Christine; Cataldo, Janine; Paul, Steven M.; Cooper, Bruce A.; Alexander, Kimberly; Aouizerat, Bradley E.; Dunn, Laura B.; Ritchie, Christine S.; McCarthy, Alexandra; Skerman, Helen

doi:10.1016/j.jpainsymman.2014.11.296

Cited by 52 publications

(68 citation statements)

References 32 publications

(34 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…While the number and specific symptoms found in the psychological symptom cluster varied based on symptom assessment instruments used, all three of the studies of breast cancer patients undergoing CTX (Kim et al, 2008; Phligbua et al, 2013; Suwisith et al, 2008), as well as numerous studies of heterogeneous samples of oncology patients undergoing CTX (e.g., (Chen and Lin, 2007; Yates et al, 2015)), identified this symptom cluster. The ubiquitous nature of this symptom cluster confirms previous reports of the high prevalence rates for anxiety (Burgess et al, 2005; Gold et al, 2016; Lim et al, 2011) and depressive symptoms (Burgess et al, 2005; Dunn et al, 2011; Gold et al, 2016) in oncology patients undergoing cancer treatment.…”

Section: Discussionmentioning

confidence: 99%

“…In the other two studies (Kim et al, 2008; Suwisith et al, 2008), night sweats was included in the psychological symptom cluster. Only one other study that included a heterogeneous sample in terms of cancer diagnoses and treatments identified a hormonal cluster (Yates et al, 2015). The symptoms included in this cluster that were identified in patients <60 years of age but not in patients ≥60 years of age were: sweats, difficulty sleeping, pain, and weight gain.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy

Sullivan

Leutwyler

Dunn

et al. 2017

European Journal of Oncology Nursing

Self Cite

View full text Add to dashboard Cite

Purpose One of the unanswered questions in symptom clusters research is whether the number and types of symptom clusters vary based on the dimension of the symptom experience used to create the clusters. Given that patients with breast cancer receiving chemotherapy (CTX), report between 10 and 32 concurrent symptoms and studies of symptom clusters in these patients are limited, the purpose of this study, in breast cancer patients undergoing CTX (n=515), was to identify whether the number and types of symptom clusters differed based on whether symptom occurrence rates or symptom severity ratings were used to create the clusters. Methods A modified version of the Memorial Symptom Assessment Scale was used to assess for the occurrence and severity of 38 symptoms, one week after the administration of CTX. Exploratory factor analysis was used to extract the symptom clusters. Results Both the number and types of symptom clusters were similar using symptom occurrence rates or symptom severity ratings. Five symptom clusters were identified using symptom occurrence rates (i.e., psychological, hormonal, nutritional, gastrointestinal, epithelial). Six symptom clusters (i.e., psychological, hormonal, nutritional, gastrointestinal, epithelial, chemotherapy neuropathy) were identified using symptom severity ratings. Across the two dimensions, the specific symptoms within each of the symptom clusters were similar. Conclusions Identification of symptom clusters in patients with breast cancer may be useful in guiding symptom management interventions. Future studies are warranted to determine if symptom clusters remain stable over a cycle of CTX in patients with breast cancer.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy

Sullivan

Leutwyler

Dunn

et al. 2017

European Journal of Oncology Nursing

Self Cite

View full text Add to dashboard Cite

show abstract

“…Factorability, i.e., anti-image correlations, the Kaiser-Meyer-Olkin (KMO) criterion (> 0.5), and Bartlett’s test of sphericity, was also considered. Analysis for each factor model was conducted in a stepwise fashion, in which variables not loading (pattern coefficient < 0.32) on any factors and variables not sufficiently correlated (structure coefficient < 0.4, i.e., at least 16% of symptom variance explained) with their respective factor(s) [33] were gradually removed in each model.…”

Section: Methodsmentioning

confidence: 99%

Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer

Matzka

Köck‐Hódi

Jahn

et al. 2018

Support Care Cancer

View full text Add to dashboard Cite

PurposeThere is increasing evidence that disease and therapy-related symptoms frequently co-occur in so-called symptom clusters (SCs), which may significantly impair quality of life in patients with cancer. Although psychosocial resources may play pivotal roles in maintaining or improving quality of life, they have been neglected in SC research. Therefore, we aim to identify SCs and their relative impact on quality of life when psychosocial resources are accounted for.MethodsPatients with cancer (n = 304) undergoing chemotherapy or chemo-radiation therapy participated in a cross-sectional survey consisting of measures assessing symptoms, quality of life, resilience, treatment-specific optimism (TSO), and social support. Exploratory factor analyses and multiple regression analyses were used to identify SCs and significant explanatory variables of overall quality of life.ResultsFatigue-pain, anxiety-depression, cancer therapy-related toxicity, and nausea-vomiting clusters were identified. In our final model, the fatigue-pain cluster (β = − 0.41, p < 0.001), nausea-vomiting cluster (β = − 0.28, p < 0.001), TSO (β = 0.21, p < 0.001), and receiving chemo-radiation treatment (β = − 0.11, p = 0.03) accounted for 44% of variance in overall quality of life. However, the identified SCs explained quality of life in patients with varying levels of TSO to a different extent.ConclusionsOur findings indicate that the TSO of patients may be a major factor to consider in managing SCs, because—depending on its level—different SCs and even clusters encompassing comparatively less distressing symptoms (i.e., cancer therapy-related toxicities) may strongly affect quality of life.

show abstract

“…Most older patients with cancer experience a large number of physical and psychological symptoms as a result of the disease and its treatments . Commonly reported symptoms include fatigue, pain, drowsiness, insomnia, dyspnea, and anorexia . Compared with individuals without cancer, patients with cancer have a high prevalence of symptoms such as loss of sensation abnormality, pain, and fatigue that are associated significantly with worse physical function .…”

mentioning

confidence: 99%

Association Between Symptom Burden and Physical Function in Older Patients with Cancer

Pandya

Magnuson

Flannery

et al. 2019

J American Geriatrics Society

View full text Add to dashboard Cite

OBJECTIVES To evaluate the independent association between symptom burden and physical function impairment in older adults with cancer. DESIGN Cross‐sectional. SETTING Two university‐based geriatric oncology clinics. PARTICIPANTS Patients with cancer aged 65 years or older who underwent evaluation with geriatric assessment (GA). MEASUREMENTS Symptom burden was measured as a summary score of severity ratings (range = 0‐10) of 10 commonly reported symptoms using a Clinical Symptom Inventory (CSI). Functional impairment was defined as the presence of one or more impairments of instrumental activities of daily living (IADLs), any significant physical activity limitation on the Medical Outcomes Survey (MOS), one or more recent falls in the previous 6 months, or a Short Physical Performance Battery (SPPB) score of 9 or less. Multivariate analysis evaluated the association between symptom burden and physical function impairment, adjusting for other clinical and sociodemographic variables. RESULTS From 2011 to 2015, 359 patients with cancer and a median age of 81 years (range = 65‐95 y) consented. The mean CSI score was 23.2 ± 20.5 with an observed range of 0 to 90. Patients in the highest quartile of symptom burden (N = 91; CSI score 52 ± 13) had a higher prevalence of IADL impairment (91% vs 51%), physical activity limitation (93% vs 65%), falls (55% vs 21%), and SPPB score of 9 or less (92% vs 69%) (all P values <.01) when compared with those in the bottom quartile (N = 81; CSI score: 2 ± 2). With each unit increase in CSI score, the odds of having IADL impairment, physical activity limitations, falls, and SPPB scores of 9 or less increased by 4.8%, 4.4%, 2.9%, and 2.5%, respectively (P < .05 for all results). CONCLUSIONS In older patients with cancer, higher symptom burden is associated with functional impairment. Future studies are warranted to evaluate if improved symptom management can improve function in older cancer patients. J Am Geriatr Soc 67:998–1004, 2019.

show abstract

Differences in Composition of Symptom Clusters Between Older and Younger Oncology Patients

Cited by 52 publications

References 32 publications

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy

Relationship among symptom clusters, quality of life, and treatment-specific optimism in patients with cancer

Association Between Symptom Burden and Physical Function in Older Patients with Cancer

Contact Info

Product

Resources

About