The state of science in the study of cancer symptom clusters

Comparing symptom clusters in cancer survivors by cancer diagnosis: A latent class profile analysis

PURPOSE

Research on symptom clusters in oncology is progressing, but knowledge gaps remain. One question is whether the number and types of symptom subgroups (i.e., latent classes) differ based on cancer diagnosis. The purpose of this study was to: (1) identify and compare latent class subgroups based on four highly prevalent symptoms (pain, fatigue, sleep disturbance, and depression), and (2) examine the differences in sociodemographic and clinical factors in the identified latent classes across the seven cancer types (i.e., prostate, non-small cell lung, non-Hodgkin's lymphoma, breast, uterine, cervical, and colorectal cancer).

METHODS

This study is a cross-sectional secondary analysis of data obtained from the My-Health study in partnership with four Surveillance, Epidemiology, and End Results (SEER) cancer registries located in California (two), Louisiana, and New Jersey. The sample included 4,762 cancer survivors 6-13 months following diagnosis of one of the seven cancer types mentioned. Latent class profile analysis was used.

RESULTS

Subjects were primarily young (59% age 21-64 years), Caucasian (41%), married/cohabitating (58%) and unemployed (55%). The number and types of symptom subgroups varied across these seven cancer populations: four-subgroups were the common in prostate, lung, non-Hodgkin's lymphoma, and breast cancer survivors. Unmarried, low education, and unemployment status were associated with high risk of symptom burden across the cancer types.

CONCLUSION

Identifying symptom subgroups by cancer diagnosis has the potential to develop innovative and effective targeted interventions in cancer survivors. Further research is needed to establish extensive knowledge in symptom clustering between treatment regimens, and short-term and long-term cancer survivors.

Symptoms experienced after transcatheter arterial chemoembolization in patients with primary liver cancer: A network analysis

Objective

This study aimed to establish a symptom network for patients with primary liver cancer posttranscatheter arterial chemoembolization (TACE), identifying core and bridge symptoms. The goal is to provide a foundation for precise and comprehensive nursing interventions.

Methods

A total of 1207 post-TACE patients were included using a consecutive sampling method. Data collection involved a general information questionnaire, the Anderson Symptom Assessment Scale, and a primary liver cancer-specific symptom module. The symptom network was constructed using the R language.

Results

In the overall network, distress exhibited the highest strength (rs = 1.31) and betweenness (rb = 62). Fatigue had the greatest closeness (rc = 0.0043), while nausea and vomiting (r = 0.76 ± 0.02) had the highest marginal weights. Nausea had the highest bridge strength (rbs = 5.263). In the first-time TACE-treated symptom network, sadness (rbs = 5.673) showed the highest bridge strength, whereas in the non-first-time symptom network, fever (rbs = 3.061) had the highest bridge strength.

Conclusions

Distress serves as a core symptom, and nausea acts as a bridge symptom after TACE treatment in liver cancer patients. Interventions targeting bridge symptoms should be tailored based on the number of treatments, enhancing the quality of symptom management.

Co-occurrence of symptoms after radiochemotherapy in locally advanced cervix cancer patients: a cluster analysis

BACKGROUND

State of the art combined radiochemotherapy and image-guided brachytherapy for locally advanced cervical cancer (LACC) has shown improved disease control and survival as well as a significant reduction of organ related morbidity. However, LACC cancer survivors are still experiencing a spectrum of symptoms. The aim of this study was to identify co-occurring symptoms in cervix cancer survivors by using patient-reported outcome and physician assessed morbidity.

MATERIALS AND METHOD

EMBRACE I is a multicenter prospective observational study with 1416 LACC patients (2008-2015). Information on physician-assessed morbidity and patient-reported outcome was assessed at baseline and at regular follow-ups up with the CTCAE v.3 and EORTC-C30/CX24, respectively. Patients with at least 2 years of follow-up were included and data from 3 months to 2 years was used in the analysis. Factor analysis was used on both EORTC and CTCAE data with symptoms and follow-ups as observations. The extracted factors represent clusters of symptoms. Subsequently, regression models were built to investigate associations between the symptom clusters and QOL.

RESULTS

The analysis included 742 patients. Despite the differences in the definition of physician-assessed and patient-reported symptoms, similar clusters are identified by the two assessment methods. Three main organ-related clusters are recognized for urinary, gastro-intestinal and vaginal morbidity. Furthermore, a general symptoms cluster where fatigue, pain, insomnia, neuropathy, and hot flashes have large weights is found. Lastly, a cluster with nausea, vomit and lack of appetite is also identified. The general, gastrointestinal and nausea clusters show significant associations with general QOL.

CONCLUSIONS

This analysis on both PRO and physician-assessed morbidity found a cluster associated with general symptoms and organ-related symptom clusters (urinary, gastrointestinal, vaginal). This shows that LACC survivors experience a variety of co-occurring symptoms. Our analysis also shows that the cluster of general symptoms is associated with a decrease in QOL.

Associations of the gut microbiome with psychoneurological symptom cluster in women with gynecologic cancers: a longitudinal study

PURPOSE

The present study aimed to evaluate the associations between the gut microbiome and psychoneurological symptoms (PNS) cluster in women with gynecologic cancers over time.

METHODS

In this secondary data analysis, 19 women with cervical and endometrial cancers treated with radiotherapy were followed at pre-treatment, 6-8 weeks, and 6 months post-treatment. To measure symptoms, Functional Assessment of Cancer Therapy-General (FACT-G) and Patient Health Questionnaire-9 (PHQ-9) were used. An average Z score of at least three out of five symptoms was computed as the PNS cluster total score. Rectal swabs were also collected at the same time points and sequenced using 16S rRNA V4 regions. The Kruskal-Wallis and permutational multivariable analysis of variance tests were used to compare α- and β-diversity between patients with high and low PNS cluster. The linear discriminant analysis effect size (LEfSe) tested taxa differences between study groups. Also, the linear mixed-effect model was used to evaluate the association of the gut microbiome and the PNS cluster over cancer treatment.

RESULTS

The patients' mean age was 58 years, 47% Black, 52% single/divorced, and 66% had college or above education. Among the participants, 63% had endometrial cancer with stage I disease. There was a different taxonomy profile between patients with high and low PNS. Patients with high PNS had a lower α-diversity than those with low PNS (Shannon, p = 0.03, evenness, p = 0.03). The mixed effects model results showed that low α-diversity and abundance of Fusicatenibacter and Ruminococcus were associated with high PNS cluster over cancer treatment.

CONCLUSION

The association between the gut microbiome and PNS cluster suggest that the gut microbiota plays a role in developing the PNS cluster. Future larger studies are required to shed light on the gut microbiota role in symptom development in gynecologic cancer patients.

Polypharmacy and prescription medication use in a population-based sample of adolescent and young adult cancer survivors

PURPOSE

We examined prescription medication use and identified correlates of polypharmacy-taking multiple medications-in adolescent and young adult cancer survivors (AYAs), who experience early-onset chronic conditions.

METHODS

Our cross-sectional study pooled data (2008-2017) from the national Medical Expenditure Panel Survey. We estimated prevalence of polypharmacy (≥ 5 unique prescription medications over an approximate 1-year period) in AYAs (age 18-39 years with a history of cancer) and age- and sex-matched controls, overall and by sociodemographics, clinical factors, and health indicators. We compared survivors' and controls' medication use across therapeutic classes. To identify correlates of polypharmacy among AYAs, we included factors with p < 0.20 in bivariable analysis in a multivariable logistic regression model.

RESULTS

AYAs (n = 601) had a higher prevalence of polypharmacy than controls (n = 2,402), overall (31.5% vs. 15.9%, p < .01) and by all sociodemographics, clinical factors, and health indicators. A majority of AYAs with multiple chronic conditions (58.8%, 95% CI 47.3-70.4) or disability (61.3%, 95% CI 52.6-70.0) had polypharmacy. Patterns of AYAs' medication use across therapeutic classes were consistent with their chronic conditions. Nearly one-third used opioid/narcotic analgesics (32.2% vs. 13.7% of controls, p < 0.01). Among AYAs, multiple chronic conditions (aOR 4.68, 95% CI 2.23-9.83) and disability (aOR 3.70, 95% CI 2.23-6.14) were correlated with polypharmacy.

CONCLUSIONS

Chronic conditions and disabilities, including aftereffects of cancer treatment, may drive polypharmacy in AYAs. Future research should examine adverse outcomes of polypharmacy and opioid/narcotic use in AYAs.

IMPLICATIONS FOR CANCER SURVIVORS

AYAs with chronic conditions or disabilities should be monitored for polypharmacy.

Associations of inflammation with neuropsychological symptom cluster in patients with Head and neck cancer: A longitudinal study

Purpose

Head and neck cancer (HNC) patients may experience multiple co-occurring neuropsychological symptoms (NPS) cluster, including fatigue, depression, pain, sleep disturbance, and cognitive impairment. While inflammation has been attributed as a key mechanism for some of these symptoms, its association with the NPS as a cluster of symptoms is unknown. Thus, the aim of this study was to examine the association between peripheral inflammation and NPS cluster among HNC patients over cancer treatment (radiotherapy with or without chemotherapy).

Methods

HNC patients were recruited and followed at pre-treatment, end of treatment, three months and one-year post-treatment. Plasma inflammatory markers, including C-reactive protein (CRP), tumor necrosis factor-alpha (TNFA), soluble tumor necrosis factor receptor-2 (sTNFR2), interleukin-1 beta (IL1-β), interleukin-6 (IL-6), interleukin-10 (IL-10), monocyte chemotactic protein-1 (MCP-1), and interleukin-1 receptor antagonist (IL-1RA) and patient-reported NPS cluster were collected at the 4 time points. Associations between inflammatory markers and the NPS cluster were analyzed using linear mixed-effects models and generalized estimating equations (GEE) models controlling covariates.

Results

147 HNC patients were eligible for analysis. 56% of the patients received chemoradiotherapy as treatment. The highest NPS cluster score was reported at the end of treatment, which gradually decreased over time. An increase in inflammatory markers including CRP, sTNFR2, IL-6 and IL-1RA was associated with higher continuous NPS cluster scores (p<0.001, p = 0.003, p<0.001, p<0.001; respectively). GEE further confirmed that patients with at least two moderate symptoms had elevated sTNFR2, IL-6, and IL-1RA (p = 0.017, p = 0.038, p = 0.008; respectively). Notably, this positive association between NPS cluster and inflammatory markers was still significant at one-year post-treatment for CRP (p = 0.001), sTNFR2 (p = 0.006), and IL-1RA (p = 0.043).

Conclusions

Most HNC patients experienced NPS clusters over time, especially immediately after the end of treatment. Elevated inflammation, as represented by inflammatory markers, was strongly associated with worse NPS cluster over time; this trend was also notable at one-year post-treatment. Our findings suggest that peripheral inflammation plays a pivotal role in the NPS cluster over cancer treatment, including long-term follow-ups. Interventions on reducing peripheral inflammation may contribute to alleviating the NPS cluster in cancer patients.

Impact of an outpatient palliative care consultation and symptom clusters in terminal patients at a tertiary care center in Pakistan

BACKGROUND

Patients with terminal diseases may benefit physically and psychosocially from an outpatient palliative care visit. Palliative care services are limited in Pakistan. An improved understanding of the symptom clusters present in our population is needed. The first outpatient palliative care center in Karachi, Pakistan, was established at our tertiary care institution. The primary aim of this study was to evaluate the impact of a palliative care outpatient consultation on symptom burden in patients with a terminal diagnosis. The secondary aim was to analyze the symptom clusters present in our population.

METHODS

Patients with a terminal diagnosis referred to our outpatient palliative department between August 2020-August 2022 were enrolled. The Edmonton Symptom Assessment Scale (ESAS) questionnaire was administered at the initial visit and the first follow-up visit at one month. Change in symptom burden was assessed using a Wilcoxon signed ranks test. A principal component analysis with varimax rotation was performed on the symptoms reported at the initial visit to evaluate symptom clusters. The palliative performance scale (PPS) was used to measure the performance status of palliative care patients.

RESULTS

Among the 78 patients included in this study, the average age was 59 ± 16.6 years, 52.6% were males, 99% patients had an oncological diagnosis, and the median duration between two visits was 14 (Q1-Q3: (7.0, 21.0) days. The median PPS level was 60% (Q1-Q3: 50-70). Overall, ESAS scores decreased between the two visits (6.0 (2.8, 11.0), p < 0.001) with statistically significant improvement in pain (5.0 vs. 2.5, p < 0.001), loss of appetite (5.0 vs. 4.0, p = 0.004), depression (2.0 vs. 0.0, p < 0.001), and anxiety (1.5 vs. 0.0, p = 0.032). Based on symptoms at the initial visit, 3 clusters were present in our population. Cluster 1 included anxiety, depression, and wellbeing; cluster 2 included nausea, loss of appetite, tiredness, and shortness of breath; and cluster 3 included drowsiness.

CONCLUSION

An outpatient palliative care visit significantly improved symptom burden in patients with a terminal diagnosis. Patients may benefit from further development of outpatient palliative care facilities to improve the quality of life in terminally ill patients.

Symptom management in adult brain tumours: A literature review

AIM

To review the literature related to symptom management, clinical significance and related theoretical framework systems in adult patients with brain tumours.

BACKGROUND

As understanding of symptoms or symptom clusters and underlying biologic mechanisms has grown, it is apparent that symptom science is moving forward. Although some progress has been made in the symptom science of solid tumours such as breast and lung neoplasms, insufficient attention has been paid to symptom management for patients suffering from brain tumours. Further research is needed to achieve effective symptom management for these patients.

DESIGN

A literature review with a systematic search of symptom management in adult brain tumours.

METHODS

Electronic data bases were searched to obtain relevant published literature on symptom management in adults with brain tumours. This was then analysed and a synthesis of relevant findings is presented.

FINDINGS

Four significant general themes relating to symptom management of brain tumours in adults were identified: (1) The potential theoretical foundation related to symptom management was revealed. (2) Widely accepted validated scales or questionnaires for the assessment of single symptoms or symptom clusters were recommended. (3) Several symptom clusters and the underlying biologic mechanisms have been reported. (4) Specific symptom interventions for adults with brain tumours were collected and classified as evidence-based or insufficient evidence.

CONCLUSION

There are still many challenges in the effective management of symptoms in adults with brain tumours. The guiding role of theoretical frameworks or models related to symptom management should be utilized in future research. Using the concept of symptom clustering for research into symptoms found in patients with brain tumours, exploring common biological mechanisms for specific symptom clusters and making full use of modern big data resources to build a strong evidence base for an effective intervention or management program may inform the management of symptoms among these patients leading to better results.

NO PATIENT OR PUBLIC CONTRIBUTION

This is a literature review.

IMPLICATIONS FOR SYMPTOM MANAGEMENT

The ultimate goal is obviously not only improving the survival rate of patients with brain tumours, but also enhancing their quality of life. Several important findings from our review include the theoretical foundations, validated assessment tools, the assessment of symptom clusters and the underlying biologic mechanism, and the identification of the evidence base for symptom interventions. These are of relevance for managers, researchers and practitioners and may function as a reference to help the effective symptom management for adults with brain tumours.

Associations of Symptom Clusters and Health Outcomes in Adult Survivors of Childhood Cancer: A Report From the St Jude Lifetime Cohort Study

PURPOSE

To identify symptom clusters among adult survivors of childhood cancers and test associations with health-related quality of life (HRQOL) and physical and neurocognitive performance.

METHODS

This cross-sectional study included 3,085 survivors (mean age at evaluation 31.9 ± 8.3 years; mean years from diagnosis 28.1 ± 9.1) participating in the St Jude Lifetime Cohort Study. Survivors self-reported the presence of 37 symptoms capturing 10 domains (cardiac, pulmonary, sensory, motor/movement, nausea, pain, fatigue, memory, anxiety, and depression). The Short Form-36's Physical/Mental Component Summaries assessed HRQOL; the Physical Performance Test evaluated physical performance; and neurocognitive batteries tested attention, processing/psychomotor speed, memory, and executive function. Latent class analysis identified subgroups of survivors experiencing different patterns of symptom burden (ie, symptom clusters). Multivariable regression models identified risk of cluster membership and tested associations with health outcomes.

RESULTS

Four symptom clusters were identified including cluster 1 (prevalence 52.4%; low physical, somatization, and psychologic domains), cluster 2 (16.1%; low physical, moderate somatic, and high psychologic domains), cluster 3 (17.6%; high physical, moderate somatic, and low psychologic domains), and cluster 4 (13.9%; high in all three domains). Compared with cluster 1, survivors in cluster 4 were more likely to have less than high school education (odds ratio [OR], 7.71; 95% CI, 4.46 to 13.31), no insurance (OR, 1.49; 95% CI, 1.04 to 2.13), and exposure to corticosteroids (OR, 1.76; 95% CI, 1.02 to 3.03); survivors in cluster 3 were more likely to have received platinum agents (OR, 2.22; 95% CI, 1.34 to 3.68) and brain radiation ≥ 30 Gy (OR, 3.99; 95% CI, 2.33 to 6.86). Survivors in cluster 4 reported the poorest Physical Component Summary/Mental Component Summary scores (31.0/26.7) and physical and neurocognitive performance versus survivors in the other clusters (P < .001).

CONCLUSION

Nearly 50% of survivors had moderate to high multisymptom burden, which was associated with sociodemographic, treatment factors, HRQOL, and functional outcomes.

Symptom cluster: management and advanced practices in oncology nursing

OBJECTIVE

To present the definition of "symptom cluster" in cancer patients and to reflect on the theory, assessment, outcomes, and interventions for symptom management, based on the perspective of advanced practices in oncology nursing.

METHOD

Theoretical-reflective study that presents and discusses possibilities for managing "symptom clusters" through advanced practices in oncology nursing.

RESULTS

The term "symptom cluster" can be defined as a set of two or more related symptoms. The theoretical concepts and models that can help in its understanding are: Theory of Unpleasant Symptoms, Theory of Symptom Management, concept of self-efficacy and Theory of symptom self-management. Advanced practice nurses have the skills to manage "symptom clusters," optimizing outcomes and positively influencing the quality of life of cancer patients.

CONCLUSION

Advanced practice nurses have the essential characteristics to design, to implement and to evaluate intervention protocols aimed at the management of "symptom clusters" in cancer patients.

Contemporaneous symptom networks of multidimensional symptom experiences in cancer survivors: A network analysis

BACKGROUND

Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have explored the symptom networks of multidimensional symptom experiences in cancer survivors. The objectives of this study were to generate symptom networks of multidimensional symptom experiences in cancer survivors and explore the centrality indices and density in these symptom networks METHODS: Data from 1065 cancer survivors were obtained from the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory was used to assess the prevalence and severity of 13 cancer-related symptoms. We constructed contemporaneous networks with all 13 symptoms after controlling for covariates.

RESULTS

Distress (r_s  = 9.18, r_c  = 0.06), sadness (r_s  = 9.05, r_c  = 0.06), and lack of appetite (r_s  = 9.04, r_c  = 0.06) had the largest values for strength and closeness. The density of the "less than 5 years" network was significantly different from that of the "5-10 years" and "over 10 years" networks (p < 0.001). We found that while fatigue was the most severe symptom in cancer survivorship, the centrality of fatigue was lower than that of the majority of other symptoms.

CONCLUSION

Our study demonstrates the need for the assessment of centrality indices and network density as an essential component of cancer care, especially for survivors with <5 years of survivorship. Future studies are warranted to develop dynamic symptom networks and trajectories of centrality indices in longitudinal data to explore causality among symptoms and markers of interventions.

Synergistic Impact of the Symptom Cluster on Health-Related Quality of Life in Patients With Chronic Obstructive Pulmonary Disease: A Secondary Data Analysis

This study aimed to quantify the synergistic impact of symptom clusters on health-related quality of life (HRQoL) among patients with chronic obstructive pulmonary disease (COPD). We conducted a secondary analysis of a cross-sectional data collected via convenience sampling from patients with COPD. Multiple linear regressions were used to quantify the relationships between symptom clusters and HRQoL. The sample included 106 COPD patients from whom three symptom clusters were identified comprising of dyspnea depression, anxiety-sleep, and depression-anxiety. Depression-anxiety (psychological symptom cluster) was significantly associated with poorer HRQoL (β = 13.88, 95% CI [7.94, 19.82]), while no significant associations were detected with HRQoL for either depression or anxiety alone (β = 6.66, 95% CI [-2.99, 16.31]; β = 7.29, 95% CI [-0.78, 15.35]). Assessment and early intervention led by nurses targeting the psychological symptom cluster may represent an initial approach to improve HRQoL. Understanding the phenomenon of symptom clusters that are present in patients with COPD provides a breakthrough insight to devise strategies for their management.

Cluster de sintomas: manejo e práticas avançadas em enfermagem oncológica

RESUMO Objetivo: Apresentar a definição de “cluster de sintomas” em pacientes com câncer e refletir sobre modelos teóricos, avaliação, desfechos e intervenções para manejo de sintomas, na perspectiva das práticas avançadas em enfermagem oncológica. Método: Estudo teórico-reflexivo que apresenta e discute possibilidades de manejo de “clusters de sintomas” por meio das práticas avançadas em enfermagem oncológica. Resultados: O termo “cluster de sintomas” pode ser definido como um conjunto de dois ou mais sintomas relacionados entre si. Os conceitos e modelos teóricos que podem ajudar na sua compreensão são: Teoria dos Sintomas Desagradáveis, Teoria do Manejo de Sintomas, conceito de autoeficácia e teoria do autocontrole dos sintomas. Os enfermeiros de prática avançada têm habilidades para realizar o manejo dos “clusters de sintomas”, otimizando os desfechos e influenciando positivamente a qualidade de vida de pacientes com câncer. Conclusão: Os enfermeiros de prática avançada reúnem as características essenciais para elaborar, implementar e avaliar protocolos de intervenções direcionadas ao manejo de “clusters de sintomas” em pacientes com câncer.

Symptom clusters: Revisiting the concept in nursing care for cancer patients

BACKGROUND

Studies on symptom clusters among cancer patients have been conducted intensively. However, the concept seems not to be well defined, hindering its utilization in clinical practice.

AIM

The aim of this paper is to reconceptualize symptom cluster and discuss areas of future research.

RESULTS

A cluster of symptoms should not be viewed as simply as a group of symptoms appearing together. It should be clinically relevant, and symptom members should be interactive or have a mutual etiology. A cluster is declared as stable if its "quality" or "nature" is remained instead of merely having the same number of symptoms. Importantly, each symptom cluster should have a sentinel symptom. The sentinel symptom could be the one that predicts the presence of the cluster or could be the one that significantly interacts with other symptoms. The search for symptom clusters, which are common among various patient groups, might be helpful in some aspects. However, to better understand them, symptom clusters should be examined in specific populations.

CONCLUSION

The nature of the relationship between symptom members, clinical relevance, sentinel symptom, stability, and prevalence are important features of a symptom cluster. More explorations into these properties by future studies are suggested.

Symptom Clusters in Head and Neck Cancer: A Systematic Review and Conceptual Model

OBJECTIVE

The two approaches to symptom-cluster research include grouping symptoms and grouping patients. The objective of this systematic review was to examine the conceptual approaches and methodologies used in symptom-cluster research in patients with head and neck cancer.

DATA SOURCES

Articles were retrieved from electronic databases (CINAHL, MEDLINE via Ovid, APA PsycINFO, Scopus, Embase, and Cochrane Central Register of Controlled Trials-CENTRAL), five grey literature portals, and Google Scholar. Seventeen studies met the eligibility criteria. Eight studies grouped symptoms to identify symptom clusters, of which two used qualitative methods. The number of symptom clusters ranged from two to five, and the number of symptoms in a cluster ranged from 2 to 11. Nine studies grouped patients based on their experiences with multiple symptoms. Cluster analysis and factor analysis were most commonly used. Despite variable names and composition of symptom clusters, synthesis revealed three prominent symptom clusters: general, head and neck cancer-specific, and gastrointestinal. Being female and quality of life were significantly associated with high symptom group or cluster severity. Biological mechanisms were sparsely examined.

CONCLUSION

Symptom cluster research in head and neck cancer is emerging. Consensus on nomenclature of a symptom cluster will facilitate deduction of core clinically relevant symptom clusters in head and neck cancer. Further research is required on understanding patients' subjective experiences, identifying predictors and outcomes, and underlying mechanisms for symptom clusters.

IMPLICATIONS FOR NURSING PRACTICE

Identification of clinically relevant symptom clusters would enable targeted symptom assessment and management strategies, thus improving treatment efficiencies and patient outcomes.

Chronic Obstructive Pulmonary Disease Symptom Cluster Composition, Associated Factors, and Methodologies: A Systematic Review

This systematic review details symptom clusters, their compositions, and associated factors and appraises the methodologies of studies that reported symptom clusters in patients with chronic obstructive pulmonary disease (COPD). Ten studies were eligible for inclusion in this study. Four common symptom clusters were identified. Two theoretical frameworks, four statistical methods, and various symptom assessment tools were used to identify symptom clusters. Factors associated with symptom clusters included demographic, clinical, and biological factors. No studies examined the subjective experiences of symptom clusters. Overall, inconsistencies were identified in the composition of symptom clusters across studies. This may be due to variations in study design, assessment tools, and statistical methods. Future studies should attempt to arrive at a common definition, especially that is theoretically derived, for symptom clusters, standardize the criteria for symptoms for inclusion in the clusters, and focus on patients' subjective experience to inform which clusters are clinically relevant.

A pilot study of the effect of a home-based multimodal symptom-management program in children and adolescents undergoing chemotherapy

Background

Prevalent symptoms that affect children and adolescents throughout the process of cancer diagnosis and treatment include nausea and vomiting, fatigue, pain, mucositis, and anxiety.

Aim

To examine the effect of a home‐based multimodal symptom‐management program for alleviation of nausea and vomiting, fatigue, pain, mucositis, and anxiety in children and adolescents undergoing chemotherapy for hematological malignancies or solid tumors.

Methods

In an exploratory pilot randomized study with qualitative interview, patients between 10 and 18 years of age were randomly assigned to either the symptom‐management program plus usual care (intervention group) or usual care (control group). The program consisted of multiple nonpharmacological interventional components. The targeted symptoms were measured at baseline (after diagnosis), at the first 2 weeks of each cycle of chemotherapy, and at 6 months after baseline, using the Memorial Symptom Assessment Scale 10‐18 and the State Anxiety Scale for Children.

Results

Fifty children (31 boys; mean age, 13.7 years) were randomized either to the intervention group or the control group (25 each) and underwent baseline assessment. A comparison between the groups showed that the intervention group had a significant less fatigue over time (P < .05). However, no differences were found with respect to nausea and vomiting, pain, mucositis, and anxiety between groups. Both children and parents reported a positive experience with the symptom‐management program.

Conclusion

The home‐based symptom‐management program may have helped to reduce fatigue in children and adolescents undergoing chemotherapy. In addition, qualitative data support the importance of improving children and parents' knowledge, coping skills, and psychological preparation for symptoms associated with chemotherapy.

Microbiome-gut-brain axis in cancer treatment-related psychoneurological toxicities and symptoms: a systematic review

PURPOSE

The microbiome-gut-brain (MGB) axis provides a dynamic model to understand associations between the gut microbiota and psychoneurological comorbidities. The role of the MGB axis in cancer treatment-related psychoneurological symptoms (PNS) remains unknown. The purpose of this study was to conduct a systematic review of the existing literature to identify the influence of the gut microbiota on cancer and cancer treatment-related PNS and toxicities mediated by the MGB axis.

METHODS

We searched the databases of PubMed, Embase, and Web of Science from their earliest records to October 2019. All studies identified in the database searches were screened by title and abstract, followed by a review of the full texts. The Johns Hopkins Nursing Evidence-Based Practice Model was adopted to assess the evidence levels and qualities; the Joanna Briggs Institute critical appraisal tools were used to assess the methodological quality and the possibility of bias for each included study. All the study findings were combined, synthesized, and presented through narrative format.

RESULTS

Six studies were included in this systematic review. These studies primarily focused on cancer survivorship while receiving chemotherapy, and they were conducted between 2016 and 2019. The gut microbiome was assessed via fecal samples, which were analyzed using 16S rRNA sequencing approaches. With small-scale studies, the gut microbiota was associated with cancer treatment-related PNS, including fatigue, anxiety, depression, sleep disturbance, cognitive impairment, and chemotherapy-induced peripheral neuropathy. A higher relative abundance of Bacteroides was associated with a higher level of fear of cancer recurrence but a higher relative abundance of Lachnospiraceae.g and Ruminococcus was associated with a lower level in fear of cancer recurrence. Changes in fatigue interference were associated with the frequency of genera Faecalibacterium and Prevotella, and changes in anxiety were associated with the frequency of genera Coprococcus and Bacteroides.

CONCLUSIONS

The gut microbiota showed significant associations with cancer treatment-related PNS. Recent work regarding the MGB axis in cancer psychoneurological toxicities focused primarily on individual toxicity and symptoms in cancer survivors with chemotherapy exposure. Associations between the gut microbiota and PNS should be further studied in cancer populations across different ages, cancer types, and treatment modalities.

Symptoms and factors associated with symptom clusters among older adults with oral and oropharyngeal cancers at diagnosis

OBJECTIVE: Describe differences in pretreatment symptoms and the composition of symptom clusters in older patients with oral and oropharyngeal cancer. METHODS: In this cross-sectional study, quality of life (QoL) assessments for cancer patients (EORCT QLQ-C30 and QLQ-H & N35) were applied to 161 cases of oral and oropharyngeal cancer at the time of enrollment in an outpatient clinic. They were used to evaluate QoL-related symptoms reported by patients, according to their occurrence. To identify symptom clusters, an exploratory factor analysis (EFA) was performed, and the relationships between these clusters and independent variables were assessed with linear regression models. RESULTS: The most prevalent symptoms were pain (52%), worry (48%), and weight loss (44%). Five factors were extracted from the EFA, of which 3 were noteworthy. The dysphagia cluster was common to both cancer sites, although more frequent in oropharyngeal cancer patients, and included symptoms such as difficulty swallowing, pain, and weight loss. The psychological cluster included symptoms related to feeling worried, nervous, and depressed. The asthenia cluster, in addition to being age-related, may represent the advanced stage or progression of the disease. CONCLUSION: The dysphagia cluster loaded the most symptoms and was common to both cancers. In addition to pain (one of the main symptoms of the dysphagia cluster), psychological symptoms were also important in both groups of patients. Adequate and early control of these symptom clusters at diagnosis could favor better management of symptoms during treatment.

Relationships of Symptom Groups and Functioning Domains in Patients with Advanced-Stage Non-Small Cell Lung Cancer Undergoing Treatment: A Cross-Sectional Study

The purpose of this study was to describe the symptoms experienced by patients with non-small cell lung cancer (NSCLC), examine whether different symptom groups significantly affected different functioning domains in these patients, and determine the effect of the "lack of energy" and "pain" symptom groups on the different functioning domains of health-related quality of life (HRQOL). From a single tertiary institution, this cross-sectional study enrolled 135 consecutive NSCLC patients who were mostly undergoing chemotherapy and were in the advanced stage (National University Hospital, Daegu, South Korea). Clinical and self-reported demographic information and data on different functioning domains (from the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30)), symptom experience (from the EORTC QLQ-LC13), and the Symptom Distress Scale (SDS) were examined. The four most common symptoms were fatigue (69%), pain (47%), dyspnea (38%), and lack of appetite (36%). The "pain" symptom group was negatively associated with physical, emotional, cognitive, and role functioning. The "lack of energy" symptom group was negatively associated with physical, role, emotional, social, and cognitive functioning. The "lack of energy" symptom group explained the most variance for physical and role functioning, and the "pain" symptom group explained the most variance for emotional functioning. Impaired concentration explained the most variance for cognitive functioning.

Interventions for Managing a Symptom Cluster of Pain, Fatigue, and Sleep Disturbances During Cancer Survivorship: A Systematic Review

PROBLEM IDENTIFICATION

More than 40% of cancer survivors experience a symptom cluster of pain, fatigue, and sleep disturbances, which can greatly reduce quality of life.

LITERATURE SEARCH

A literature search was performed using CINAHL®, Google ScholarTM, PubMed®, PsycINFO®, and Web of Science. Articles included randomized controlled trials of interventions aimed at managing a symptom cluster of pain, fatigue, and sleep disturbances.

DATA EVALUATION

11 studies were assessed for quality, risk of bias, cancer type, sample size, intervention type, duration, and setting. For an intervention to be considered effective, the reduction of symptom severity or distress had to be statistically significant.

SYNTHESIS

Data from the 11 studies were summarized. Four interventions were found to be effective in managing the symptom cluster, but evidence on long-term effectiveness was insufficient.

IMPLICATIONS FOR NURSING

Oncology nurses can assess the patterns and characteristics of simultaneous symptoms experienced by cancer survivors and administer interventions to relieve symptom burden and improve quality of life.

Prevalence of Symptoms and Symptom Clusters of Patients on Dialysis in Uruguay

BACKGROUND

Patients on dialysis report high levels of symptom burden. The association of these symptoms may have an increased deleterious effect on the patients' well-being.

OBJECTIVE

This study aimed to assess the prevalence of symptoms, to identify symptom clusters, and to describe the impact of concurrent symptoms on physical and emotional well-being in a sample of dialysis patients.

METHODS

Data of the first assessment of a longitudinal study aimed to assess patient-reported outcomes in dialysis were included here. The KDQOL-36 PCS, MCS and Symptom Subscale, the Hospital Anxiety and Depression Scales and the Epworth Sleepiness Scale were analyzed. The ICLUST procedure was followed for hierarchical cluster analyses.

RESULTS

Of the 512 eligible patients, 493 accepted to participate, 43.6 % were female, with mean age of 60.9 (SD=16.7). Treatment modality was HD in 87.6% of patients. Most prevalent and severe symptoms were muscle sores, cramps, "washed out", dry skin, and itchy skin, Moderate to severe pain was reported by 25%, and daily somnolence by 12.4% of the patients. Five first level symptom clusters were identified as cutaneous, cardiac, digestive, sensory-motor, energy. Both, the presence of any cluster and cluster scores were significantly associated with lower physical and mental quality of life and a higher psychological distress.

CONCLUSIONS

Our study confirms the presence of high symptom burden in dialysis patients in Uruguay. Several symptom clusters were identified having significant impact on the patients' well-being. The identification of symptom clusters can help to understand common underlying pathways. It is possible that the management of symptom clusters may reduce symptom burden in these patients.

Identification of symptom clusters and their synergistic effects on quality of life in rheumatoid arthritis patients

AIMS

To examine the presence of symptom clusters and synergistic effects of symptom clusters on quality of life in rheumatoid arthritis patients.

BACKGROUND

Rheumatoid arthritis patients frequently experience multiple concurrent symptoms of pain, fatigue, and depression.

DESIGN

A nonexperimental, cross-sectional correlation design.

METHODS

The study participants were 179 rheumatoid arthritis patients. Data were collected between August and December 2016. A hypothetical model was developed based on the Theory of Unpleasant Symptoms Model: physiological antecedents included disease activity and obesity; symptoms of pain, fatigue, and depression were hypothesized as being clustered, and quality of life was taken as the outcome variable.

RESULTS

Disease activity had significant direct effects on pain, fatigue, and depression and indirect effects on fatigue and depression, whereas obesity had a significant direct effect on fatigue alone. Three symptom clusters, namely, pain fatigue, fatigue depression, and pain-fatigue depression were identified and found to have significant synergistic effects on quality of life.

CONCLUSIONS

Our findings support the importance of managing clusters of symptoms simultaneously, that is, collective symptom management. Inter-cluster dynamics between symptoms should be considered when nurses develop symptom management strategies or self-management programs to improve the quality of life of rheumatoid arthritis patients.

Collaborative Framework to Advance Symptom Science: An Intramural Perspective

PURPOSE

To describe the collaborative framework used by National Institute of Nursing Research (NINR) investigators to advance symptom science and to provide a research exemplar.

MODEL

The National Institutes of Health (NIH) Symptom Science Model (SSM) was developed to guide symptom science researchers to understand the molecular underpinnings of symptoms using innovative "omics" approaches. The process begins with a review of the literature to understand the state of the science of the symptoms of interest and is followed by cross-sectional, case-controlled, or longitudinal studies to identify potential biological correlates of these symptoms. The final steps include validation of these potential symptom biomarkers using multidisciplinary, collaborative, preclinical experiments, and proof-of-concept clinical trials.

RESEARCH EXEMPLAR

Using the NIH SSM as a guide, the identification of biologic correlates of symptoms using omics and bioinformatic strategies depends on determining the distinct phenotype of the symptoms of interest. The identified biologic correlates of these symptoms are then validated for their functional relevance using in vitro and ex vivo experiments, or through proof-of-concept clinical trials. NINR investigators observed that activation of specific receptors in neural networks can trigger inflammation-related fatigue development and predispose patients to develop chronicity of symptoms. Specifically targeting these neural receptors can reduce symptom intensity.

CONCLUSIONS

Through using the NIH SSM as a guide, NINR investigators quickly generate data and discoveries that significantly advance symptom science by simultaneously collaborating with multiple experts and core laboratories to identify more correlates and validate their functional relevance in order to further understand the biological underpinnings of the symptoms of interest.

CLINICAL RELEVANCE

The collaborative framework used by NINR investigators as guided by the NIH SSM identifies functionally relevant clinical markers that can explain the biological underpinnings of symptoms and can be targeted to optimize symptom management.

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

PURPOSE

There 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.

METHODS

Patients 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.

RESULTS

Fatigue-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.

CONCLUSIONS

Our 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.

Older Age, Early Symptoms and Physical Function are Associated with the Severity of Late Symptom Clusters for Men Undergoing Radiotherapy for Prostate Cancer

AIMS

To identify symptom clusters and predisposing factors associated with long-term symptoms and health-related quality of life after radiotherapy in men with prostate cancer.

MATERIALS AND METHODS

Patient-reported outcomes (PROs) data from the Medical Research Council RT01 radiotherapy with neoadjuvant androgen deprivation therapy trial of 843 patients were used. PROs were collected over 5 years with the University of California, Los Angeles Prostate Cancer Index (UCLA-PCI) and the 36 item Short-Form Health Survey (SF-36). Symptom clusters were explored using hierarchical cluster analysis. The association of treatment dose, baseline patient characteristics and early symptom clusters with the change in severity of PROs over 3 years was investigated with multivariate linear mixed effects models.

RESULTS

Seven symptom clusters of three or more symptoms were identified. The clusters were stable over time. The longitudinal profiles of symptom clusters showed the onset of acute symptoms during treatment for all symptom clusters and significant recovery by 6 months. Some clusters, such as physical health and sexual function, were adversely affected more than others by androgen deprivation therapy, and were less likely to return to pretreatment levels over time. Older age was significantly associated with decreased long-term physical function, physical health and sexual function (P < 0.001). Both baseline and acute symptom clusters were significant antecedents for impaired function and health-related quality of life at 3 years.

CONCLUSIONS

Men with poorer physical function and health before or during treatment were more likely to report poorer PROs at year 3. Early assessment using PROs and lifestyle interventions should be used to identify those with higher needs and provide targeted rehabilitation and symptom management.

A review of the literature on symptom clusters in studies that included oncology patients receiving primary or adjuvant chemotherapy

AIMS AND OBJECTIVES

To summarise the current state of knowledge of symptom clusters research from studies that included, as part of their sample, patients who were receiving primary or adjuvant chemotherapy.

BACKGROUND

Since the concept of a symptom cluster was first introduced into the oncology literature in 2001, only four comprehensive reviews of symptom clusters research in oncology patients were identified that provide insights into this important concept in symptom management research.

DESIGN

A comprehensive review of the literature.

METHODS

A comprehensive literature search was conducted for the years 2000 to 2016. Only 19 studies met the inclusion criteria for this literature review. These studies were evaluated in terms of the symptom assessment instruments used; the statistical analysis methods used; the symptom dimension(s) used to create the symptom cluster(s); the number and types of symptom clusters identified; and whether the specific symptom clusters changed over time.

RESULTS

The number of symptom clusters identified ranged from one-seven. The majority of the studies used some type of factor analysis to create the symptom clusters. The most common symptom dimension used to create the clusters was symptom severity. A "gastrointestinal symptom cluster" was the most common symptom cluster identified. Across the eight longitudinal studies, for half of these studies the symptom clusters remained relatively stable over time.

CONCLUSIONS

Additional research is needed in oncology patients to address the assessment of symptom clusters, the specific nature of symptom clusters and whether symptom clusters change over time.

Los grupos de síntomas en personas con cáncer: una revisión integrativa

Objetivo: explorar el estado actual de desarrollo investigativo del área temática de grupos de síntomas en adultos con cáncer. Método: revisión integrativa de producción científica generada entre 2001 y 2016. Se incluyeron 61 artículos por su aporte en la comprensión del área temática. Resultados: el estudio de los grupos de síntomas en personas con cáncer se consolida como un área temática novedosa, pertinente y necesaria para la investigación y práctica de enfermería en oncología, con tendencias y retos que incluyen: (1) El desarrollo de marcos conceptuales que aporten a la fundamentación, atributos y efectos (2) La determinación de métodos y formas de crearlos y clasificarlos (3) La generación de estudios con poblaciones específicas por tipos de cáncer y tratamiento y la consolidación de intervenciones de enfermería. Conclusiones: los pacientes con cáncer experimentan múltiples síntomas de forma simultánea durante las distintas fases de la enfermedad. Es incipiente el estudio de este fenómeno, los retos para la enfermería se centran en la generación de respuestas que alivien la carga de los grupos de síntomas y mejoren la calidad de vida de estos pacientes. Es necesario validar escalas de carga del síntoma y explorar los grupos de síntomas incluyendo variables clínicas ligadas a los tratamientos oncológicos.

Depressive symptoms and inflammation are independent risk factors of fatigue in breast cancer survivors

BACKGROUND

Psychosocial and inflammatory factors have been associated with fatigue in breast cancer survivors. Nevertheless, the relative contribution and/or interaction of these factors with cancer-related fatigue have not been well documented.

METHOD

This cross-sectional study enrolled 111 stage 0-III breast cancer patients treated with breast surgery followed by whole breast radiotherapy. Fatigue was measured by the total score of the Multidimensional Fatigue Inventory-20. Potential risk factors included inflammatory markers (plasma cytokines and their receptors and C-reactive protein; CRP), depressive symptoms (as assessed by the Inventory of Depressive Symptomatology-Self Reported), sleep (as assessed by the Pittsburgh Sleep Quality Index) and perceived stress (as assessed by the Perceived Stress Scale) as well as age, race, marital status, smoking history, menopause status, endocrine treatment, chemotherapy and cancer stage. Linear regression modeling was employed to examine risk factors of fatigue. Only risk factors with a significance level <0.10 were included in the initial regression model. A post-hoc mediation model using PROCESS SPSS was conducted to examine the association among depressive symptoms, sleep problems, stress, inflammation and fatigue.

RESULTS

At 1 year post-radiotherapy, depressive symptoms (p<0.0001) and inflammatory markers (CRP: p = 0.015; interleukin-1 receptor antagonist: p = 0.014; soluble tumor necrosis factor receptor-2: p = 0.009 in separate models) were independent risk factors of fatigue. Mediation analysis showed that depressive symptoms also mediated the associations of fatigue with sleep and stress.

CONCLUSIONS

Depressive symptoms and inflammation were independent risk factors for cancer-related fatigue at 1 year post-radiotherapy, and thus represent independent treatment targets for this debilitating symptom.

Symptom Cluster Trajectories During Chemotherapy in Breast Cancer Outpatients

CONTEXT

Breast cancer patients often experience multiple symptoms and substantial discomfort. Some symptoms may occur simultaneously and throughout the duration of chemotherapy treatment.

OBJECTIVES

The aim of this study was to investigate symptom severity and symptom cluster trajectories during chemotherapy in outpatients with breast cancer in Taiwan.

METHODS

This prospective, longitudinal, repeated measures study administered a standardized questionnaire (M. D. Anderson Symptom Inventory Taiwan version) to 103 breast cancer patients during each day of the third 21-day cycle of chemotherapy. Latent class growth analysis was performed to examine symptom cluster trajectories.

RESULTS

Three symptom clusters were identified within the first 14 days of the 21-day chemotherapy cycle: the neurocognition cluster (pain, shortness of breath, vomiting, memory problems, and numbness/tingling) with a trajectory of Y = 2.09 - 0.11 (days), the emotion-nausea cluster (nausea, disturbed sleep, distress/upset, drowsiness, and sadness) with a trajectory ofY = 3.57 - 0.20 (days), and the fatigue-anorexia cluster (fatigue, lack of appetite, and dry mouth) with a trajectory of Y = 4.22 - 0.21 (days). The "fatigue-anorexia cluster" and "emotion-nausea cluster" peaked at moderate levels on chemotherapy days 3-5, and then gradually decreased to mild levels within the first 14 days of the 21-day chemotherapy cycle.

CONCLUSION

Distinct symptom clusters were observed during the third cycle of chemotherapy. Systematic and ongoing evaluation of symptom cluster trajectories during cancer treatment is essential. Healthcare providers can use these findings to enhance communication with their breast cancer patients and to prioritize symptoms that require attention and intervention.

Comparison of symptom clusters associated with fatigue in older and younger survivors of colorectal cancer

PURPOSE

Cancer-related fatigue (CRF) is one of the most frequently reported symptoms in cancer survivors. To be able to optimally treat CRF, knowledge of symptoms that interact with CRF is helpful. During aging, changes occur in body composition with progressive deterioration in physiological functions and metabolic processes causing a decline of adaptive capacity. Therefore, symptoms caused by cancer and its treatment might coexist in different symptom clusters in older cancer survivors, compared to younger survivors. The purpose of this analysis was to identify and compare symptom clusters that include CRF between older and younger survivors of colorectal cancer (CRC).

METHODS

Data were drawn from a cross-sectional study from the Netherlands Cancer Registry. In total, 1698 stage I and II CRC survivors diagnosed from 2000 to 2009 completed questionnaires on fatigue and psychological distress. Survivors were categorized in two groups based on age (≤65 versus >65 years) Symptom clusters were assessed using principal component analysis. A sensitivity analysis was performed on the results with categorical principal component analysis.

RESULTS

In both age groups, three components including two symptom clusters were identified: an emotional symptom cluster containing anxiety, fatigue, and depression; a pain symptom cluster containing pain and insomnia; and a third component containing dyspnea only.

CONCLUSIONS

Symptom clusters in survivors of CRC appear to be independent of age. In treating CRC survivors for fatigue, regardless of age, it is advisable to assess depression and anxiety and, if necessary, refer for further diagnosis and treatment.

Interrelationships among common symptoms in the elderly and their effects on health-related quality of life: a cross-sectional study in rural Korea

Background

Because the world population is aging, it has become increasingly important to focus on and meet the healthcare needs of elderly individuals. This study aims to evaluate the relationships among common symptoms experienced by the elderly, including fatigue, pain, sleep disturbance, indigestion, and depression/anger/anxiety, and to assess how these symptoms affect health-related quality of life (HRQoL) in the elderly population after adjusting for sociodemographic characteristics and diagnosed diseases.

Methods

In a cross-sectional study conducted in 2014 in a rural area of Korea, we extracted data on 1328 elderly individuals aged 60 years or older. Their HRQoL was assessed using the EuroQol Five-Dimension (EQ-5D) questionnaire. The pairwise associations between each symptom and the influence of the symptoms on HRQoL were measured using logistic regression and multiple regression analysis.

Results

Each symptom was positively correlated with the other symptoms. The strongest association was observed between fatigue and pain (adjusted odds ratio = 8.127), and the weakest correlation was observed between sleep and indigestion (adjusted odds ratio = 2.521). Of the individuals experiencing symptoms other than sleep disturbance, those who reported comorbid symptoms tended to report higher symptom severity and a higher prevalence of symptoms persisting for ≥ 3 days compared with individuals who reported only one symptom. The number of symptoms was significantly correlated with the EQ-5D index (Spearman correlation coefficient = −0.370, p < 0.01) and the EQ Visual Analog Scale (EQ VAS) scores (Spearman correlation coefficient = −0.226, p < 0.01). Fatigue, pain, and sleep disturbance showed negative effects on all dimensions of EQ-5D. In multiple regression analysis, fatigue (β = −0.073, p < 0.01), pain (β = −0.140, p < 0.01), sleep disturbance (β = −0.061, p < 0.05), and depression/anger/anxiety (β = −0.065, p < 0.05) showed significant independent effects on the EQ-5D index when we adjusted for socioeconomic characteristics and diagnosed diseases.

Conclusions

Fatigue, pain, sleep disturbance, and depression/anger/anxiety were correlated with one another, and they presented significant independent effects on the HRQoL of elderly individuals. Thus, multidisciplinary healthcare programs are required to address these common symptoms.

Impact of Symptom Clusters on Quality of Life Outcomes in Patients from Japan with Advanced Nonsmall Cell Lung Cancers

OBJECTIVE

Identify symptom clusters based on symptoms experienced by patients with advanced nonsmall cell lung cancers (NSCLCs), and examine the relationship between the symptom clusters and impairment in everyday life and quality of life (QOL).

METHODS

Using the M.D. Anderson Symptom Inventory, 9 symptom items and the QOL Questionnaire (QLQ-C-30) evaluation apparatus from the European Organization for Research and Treatment of Cancer, we evaluated symptom severity, interference in daily life, and QOL. Factor analysis and multiple regression analysis techniques were used.

RESULTS

Sixty patients with advanced NSCLCs seen in pulmonary medicine departments were included in the study. The average age of patients was 64.33 (standard deviation = 11.40). Thirty-six were male and 24 were female. Three symptom clusters were identified as fatigue/anorexia cluster (dry mouth, altered the sense of taste, drowsiness, fatigue/tiredness, and lack of appetite), pain cluster (anxiety, sadness, and pain), numbness cluster (numbness, leg weakness, and distress). The pain cluster had the strongest influence (adjusted R2 = 0.355) on daily life (emotions) while the numbness cluster most strongly affected walking. The fatigue/anorexia cluster explained 22.7% of role function variance. This symptom clustering may be unique among patients with advanced NSCLCs.

CONCLUSIONS

Each of these clusters affected QOL and everyday life with varying degrees of influence. In clinical screening assessments, focusing on symptom clusters could provide tailored management strategies for patients with advanced NSCLCs. These care strategies may improve outcomes specifically for advanced NSCLCs patients.

National Institutes of Health Symptom Science Model sheds light on patient symptoms

Since the establishment of the nursing profession, identifying and alleviating the subjective symptoms experienced by patients has been at the core of nursing practice. In supporting the scientific foundation for clinical practice, nursing science has maintained a consistent commitment to prevent, manage, and eliminate symptoms. Scientists from the intramural research program at the National Institute of Nursing Research (NINR), a component of the National Institutes of Health, developed a National Institutes of Health Symptom Science Model (NIH-SSM) to guide symptom science research programs engaged in the use of emerging "omic" methods such as the genotyping of symptom phenotypes. The NIH-SSM was developed based on the NINR intramural research program's success in designing and implementing methods for examining identified symptoms or symptom clusters. The NIH-SSM identifies the research process of characterizing symptom phenotypes, identifying and testing biomarkers, and ultimately developing clinical interventions in cancer-related fatigue, gastrointestinal disorders, and traumatic brain injuries. The purpose of this article was to demonstrate how scientists can apply the NIH-SSM, leading the broader scientific community in advancing personalized and precise clinical interventions.

Identifying Severe Adverse Event Clusters Using the National Cancer Institute's Common Terminology Criteria for Adverse Events

PURPOSE

Exploring the relationships among adverse events is important because those that arise from a common mechanism are amenable to a common intervention, which can improve symptom management, quality of life, and treatment adherence. To date, symptom cluster studies have used patient-reported data, which are not always available in clinical trials. In this study, we proposed using the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) to identify adverse event clusters because the CTCAE data are collected as standard practice and can therefore be used when patient-reported outcomes are unavailable.

METHODS

The CTCAE data from a randomized clinical trial conducted by SWOG that compared docetaxel plus estramustine versus mitoxantrone plus predinsone in patients with advanced prostate cancer were used to identify severe adverse event clusters. A variable based hierarchical cluster analysis was conducted using the CTCAE for the 323 patients who experienced at least one grade 3 or higher adverse event.

RESULTS

A total of 109 adverse event types were captured using the CTCAE. Four clusters had moderate associations: nausea, vomiting, and anorexia (n = 35, r = 0.45); joint/bone(myalgia, arthralgia, and arthritis) and muscle weakness (n = 26, r = 0.29); anemia and transfusion (n = 20, r = 0.38); and neutrophils/granulocytes, febrile neutropenia, and leukocytes/lymphopenia (n = 114, r = 0.29). Two clusters had weak associations: fatigue/malaise/lethargy and dehydration (n = 66, r = 0.12); and constipation, infection without neutropenia, and abdominal pain/cramping (n = 35, r = 0.13).

CONCLUSION

Several severe adverse event clusters were identified in patients with advanced prostate cancer. Identifying adverse event clusters using CTCAE data from clinical trials is feasible.

Should we cluster patients or symptoms? The myth of symptom clusters based on 'depression, insomnia, pain' and 'depression, fatigue, pain'

CONTEXT

'Depression, fatigue, pain' (DFP) and 'depression, insomnia, pain' (DIP) symptom clusters (SCs) have been proposed in cancer. These symptoms are common and co-occur, that is, they constitute clusters of patients rather than symptoms.

OBJECTIVES

The following research questions were addressed: (1) What is the frequency of co-occurrence of two symptom groups (DFP and DIP) in advanced cancer? (2) What is the degree of symptom item association within each symptom group? (3) Were either of these symptom trios associated with prognosis?

METHODS

We reanalysed a symptom data set of 1000 patients with advanced cancer. We identified the frequency of co-occurrence of two symptom groups: DFP and DIP, using both prevalence and severity data. The symptom associations were tested by χ(2) and Spearman correlations. We also determined whether either of these symptom trios were associated with a major biological outcome, that is, survival by time-to-event analyses.

RESULTS

(1) Although DFP and DIP co-occured in about a quarter of the population, they were not SCs, but rather patient clusters. (2) Many persons had only one symptom from any symptom pair, and correlation coefficients were low for all symptom pairs. (3) Neither DFP nor DIP were associated with survival.

CONCLUSIONS

Neither DFP nor DIP symptom item combinations constituted a specific cancer SC contrary to prior reports. DFP co-occurred in 27% and DIP in only 20%. Additionally, these symptom combinations were not associated with a biological outcome, that is, poor prognosis. Patient subgroups identified by shared symptom experiences alone do not identify SCs.

Symptom Clusters in Advanced Cancer Patients: An Empirical Comparison of Statistical Methods and the Impact on Quality of Life

CONTEXT

Symptom clusters in advanced cancer can influence patient outcomes. There is large heterogeneity in the methods used to identify symptom clusters.

OBJECTIVES

To investigate the consistency of symptom cluster composition in advanced cancer patients using different statistical methodologies for all patients across five primary cancer sites, and to examine which clusters predict functional status, a global assessment of health and global quality of life.

METHODS

Principal component analysis and exploratory factor analysis (with different rotation and factor selection methods) and hierarchical cluster analysis (with different linkage and similarity measures) were used on a data set of 1562 advanced cancer patients who completed the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire-Core 30.

RESULTS

Four clusters consistently formed for many of the methods and cancer sites: tense-worry-irritable-depressed (emotional cluster), fatigue-pain, nausea-vomiting, and concentration-memory (cognitive cluster). The emotional cluster was a stronger predictor of overall quality of life than the other clusters. Fatigue-pain was a stronger predictor of overall health than the other clusters. The cognitive cluster and fatigue-pain predicted physical functioning, role functioning, and social functioning.

CONCLUSIONS

The four identified symptom clusters were consistent across statistical methods and cancer types, although there were some noteworthy differences. Statistical derivation of symptom clusters is in need of greater methodological guidance. A psychosocial pathway in the management of symptom clusters may improve quality of life. Biological mechanisms underpinning symptom clusters need to be delineated by future research. A framework for evidence-based screening, assessment, treatment, and follow-up of symptom clusters in advanced cancer is essential.

Symptom clusters in women with breast cancer: an analysis of data from social media and a research study

PURPOSE

User-generated content on social media sites, such as health-related online forums, offers researchers a tantalizing amount of information, but concerns regarding scientific application of such data remain. This paper compares and contrasts symptom cluster patterns derived from messages on a breast cancer forum with those from a symptom checklist completed by breast cancer survivors participating in a research study.

METHODS

Over 50,000 messages generated by 12,991 users of the breast cancer forum on MedHelp.org were transformed into a standard form and examined for the co-occurrence of 25 symptoms. The k-medoid clustering method was used to determine appropriate placement of symptoms within clusters. Findings were compared with a similar analysis of a symptom checklist administered to 653 breast cancer survivors participating in a research study.

RESULTS

The following clusters were identified using forum data: menopausal/psychological, pain/fatigue, gastrointestinal, and miscellaneous. Study data generated the clusters: menopausal, pain, fatigue/sleep/gastrointestinal, psychological, and increased weight/appetite. Although the clusters are somewhat different, many symptoms that clustered together in the social media analysis remained together in the analysis of the study participants. Density of connections between symptoms, as reflected by rates of co-occurrence and similarity, was higher in the study data.

CONCLUSIONS

The copious amount of data generated by social media outlets can augment findings from traditional data sources. When different sources of information are combined, areas of overlap and discrepancy can be detected, perhaps giving researchers a more accurate picture of reality. However, data derived from social media must be used carefully and with understanding of its limitations.

Association of Fatigue with Perceived Stress in Chinese Women with Early Stage Breast Cancer Awaiting Adjuvant Radiotherapy

Cancer-related fatigue (CRF) is common in women with breast cancer, but little is known of its relationship with perceived stress. We conducted a cross-sectional study to explore the associations of CRF with perceived stress, anxiety, depression, pain and sleep quality in 133 Chinese women (aged 25-68 years) with early stage breast cancer. The majority of women had completed surgery and chemotherapy and were awaiting radiotherapy. Self-administered questionnaires consisting of the Brief Fatigue Inventory, Perceived Stress Scale-10, Hospital Anxiety and Depression Scale, Brief Pain Inventory, and Pittsburgh Sleep Quality Index were used to collect data. Forty-five per cent of the women were severely fatigued. Compared with local healthy women and US breast cancer patients, the group's mean perceived stress score was significantly higher (both p < 0.01). Higher perceived stress (β = 0.18, p = 0.032), higher anxiety (β = 0.30, p < 0.001) and higher pain severity (β = 0.38, p < 0.001) were associated with increased severity of CRF. The association of CRF with perceived stress was partially mediated by anxiety, suggesting a possible pathway from cancer and cancer treatment to CRF via stress appraisals and emotional distress. The findings indicate the importance of monitoring the psychological status of patients during treatment.

Examining patterns of multivariate, longitudinal symptom experiences among older adults with type 2 diabetes and cancer via cluster analysis

PURPOSE

Diabetes and cancer are chronic conditions that produce symptoms, some unique to each condition and others common to both. Previous studies have reported on subgroups of patients who experience distinct combinations of symptoms in cross-sectional samples and the univariate longitudinal trajectories of individual symptoms. The literature currently lacks examples of research that take a multivariate longitudinal perspective to understanding patients' symptom experiences. The purpose of this study was to identify subgroups of patients who share distinct multivariate longitudinal profiles with respect to how symptom severity changes over time for a set of five symptoms (pain, fatigue, change in appetite, nausea, and numbness and tingling).

METHODS

This exploratory study included 43 participants with pre-existing diabetes from eight community-based cancer centers who were receiving chemotherapy for a solid tumor. Using baseline and 8-week data, a model-based cluster analysis with Bayesian regularization was used to identify subgroups.

RESULTS

Two groups were identified. Group 1 experienced mild symptoms that changed very little at 8 weeks; group 2 experienced mild to moderate symptom severity, with small increases in fatigue, nausea, and numbness and tingling. Effect size confidence intervals suggest that level of depression, length of time with diabetes, and severity of diabetes at baseline may differ between groups.

CONCLUSIONS

More research in this area is needed to further test this model, address limitations associated with analyzing a small sample, and explore factors that may be associated with changes in the overall symptom experience for patients with diabetes and cancer.

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

CONTEXT

Older oncology patients have unique needs associated with the many physical, psychological, and social changes associated with the aging process. The mechanisms underpinning and the impact of these changes are not well understood. Identification of clusters of symptoms is one approach that has been used to elicit hypotheses about the biological and/or psychological basis for variations in symptom experiences.

OBJECTIVES

The purposes of this study were to identify and compare symptom clusters in younger (<60 years) and older (≥60 years) patients undergoing cancer treatment.

METHODS

Symptom data from one Australian study and two U.S. studies were combined to conduct this analysis. A total of 593 patients receiving active treatment were dichotomized into younger (<60 years) and older (≥60 years) groups. Separate exploratory factor analyses (EFAs) were undertaken within each group to identify symptom clusters from occurrence ratings of the 32 symptoms assessed by the Memorial Symptom Assessment Scale.

RESULTS

In both groups, a seven-factor solution was selected. Four partially concordant symptom clusters emerged in both groups (i.e., mood/cognitive, malaise, body image, and genitourinary). In the older patients, the three unique clusters reflected physiological changes associated with aging, whereas in the younger group the three unique clusters reflected treatment-related effects.

CONCLUSION

The symptom clusters identified in older patients typically included a larger and more diverse range of physical and psychological symptoms. Differences also may be reflective of variations in treatment approaches between age groups. Findings highlight the need for better understanding of variation in treatment and symptom burden between younger and older adults with cancer.

The influence of oxidative stress on symptom occurrence, severity, and distress during childhood leukemia treatment

PURPOSE/OBJECTIVES

To explore the symptom trajectory during the first 16 months of childhood leukemia treatment and any associations with the oxidative stress pathway measured by cerebrospinal fluid (CSF) concentration of oxidized phosphatidylcholine (PC), the predominant glycerophospholipid in the brain and cell membranes.

DESIGN

Prospective, longitudinal design.

SETTING

Two cancer centers in the southwestern United States.

SAMPLE

36 children (aged 3-14 years) newly diagnosed with acute lymphoblastic leukemia.

METHODS

Symptoms were measured using the Memorial Symptom Assessment Scale at six specific time points during treatment. Biochemical changes in oxidative stress were measured by oxidized PC in the CSF.

MAIN RESEARCH VARIABLES

Childhood cancer symptoms, oxidized PC.

FINDINGS

Significant differences were found in the number of symptoms experienced during the three phases of treatment. Symptom trajectory changes and influence of the oxidative stress pathway on symptom experiences were identified.

CONCLUSIONS

Symptoms experienced during treatment for childhood leukemia are associated with increased oxidative stress.

IMPLICATIONS FOR NURSING

Children with leukemia experience symptoms throughout treatment. Physiologic measures indicate the influence of oxidative stress on symptoms.

Cancer symptom clusters: an exploratory analysis of eight statistical techniques

CONTEXT

Statistical methods to identify symptom clusters (SC) have varied between studies. The optimal statistical method to identify SC is unknown.

OBJECTIVES

Our primary objective was to explore whether eight different statistical techniques applied to a single data set produced different SC. A secondary objective was to investigate whether SC identified by these techniques resembled those from our original study.

METHODS

We reanalyzed a symptom data set of 1000 patients with advanced cancer. Eight separate cluster analyses were conducted on both prevalence and severity of 38 symptoms. Hierarchical cluster analysis identified clusters at r-values of 0.6, 0.5, and 0.4. For prevalence and severity, the Spearman correlation and Kendall tau-b correlation, respectively, measured the similarity (distance) between symptom pairs. Sensitivity analysis of the prevalence data was done with Cohen kappa coefficient as a similarity measure. The K-means clustering method validated clusters.

RESULTS

Hierarchical cluster analysis identified similar cluster configurations from the 38 symptoms using an r-value of 0.6, 0.5, or 0.4. A cutoff point of 0.6 yielded seven clusters. Five of them were identical at all three r-values used: (1) fatigue/anorexia-cachexia: anorexia, dry mouth, early satiety, fatigue, lack of energy, taste changes, weakness, and weight loss (>10%); (2) gastrointestinal: belching, bloating, dyspepsia, and hiccough; (3) nausea/vomiting: nausea and vomiting; (4) aerodigestive: cough, dysphagia, dyspnea, hoarseness, and wheeze; (5) neurologic: confusion, hallucinations, and memory problems. Regardless of the threshold, there were always some symptoms (e.g., pain) that did not cluster with any others. Seven clusters were validated by K-means analysis.

CONCLUSION

Seven SC identified from both prevalence and severity data were consistently present irrespective of the statistical analysis used. There were only minor variations in the number of clusters and their symptom composition between analytical techniques. All seven clusters originally identified were confirmed. Four consistent SC were found in all analyses: aerodigestive, fatigue/anorexia-cachexia, nausea/vomiting, and upper GI. Our results support the clinical importance of the SC concept.

Symptom clusters in patients with advanced cancer: a systematic review of observational studies

CONTEXT

Advanced cancer patients typically experience multiple symptoms, which may influence patient outcomes synergistically. The composition of these symptom clusters (SCs) differs depending on various clinical variables and the timing and method of their assessment.

OBJECTIVES

The objective of this systematic review was to examine the composition, longitudinal stability, and consistency across methodologies of common SCs, as well as their common predictors and outcomes.

METHODS

A search of MEDLINE, CINAHL, Embase, Web of Science, and PsycINFO was conducted using variants of symptom clusters, cancer, and palliative care.

RESULTS

Thirty-three articles were identified and reviewed. Many SCs were identified, with four common groupings being anxiety-depression, nausea-vomiting, nausea-appetite loss, and fatigue-dyspnea-drowsiness-pain. SCs in most cases were not stable longitudinally. The various statistical methods used (most commonly principal component analysis, exploratory factor analysis, and hierarchical cluster analysis) tended to reveal different SCs. Different measurement tools were used in different studies, each containing a different array of symptoms. The predictors and outcomes of SCs were also inconsistent across studies. No studies of patient experiences of SCs were identified.

CONCLUSION

Although the articles reviewed revealed four groups of symptoms that tended to cluster, there is limited consistency in the way in which SCs and variables associated with them are identified. This is largely due to a lack of agreement about a robust, clinically relevant definition of SCs. Future research should focus on patients' subjective experience of SCs to inform a clinically relevant definition of SCs and how they are managed over time.

Patterns of symptoms and functional impairments in children with cancer

BACKGROUND

Children with cancer experience multiple symptoms due to their disease and as a result of treatment. The purpose of this study was to demonstrate the feasibility and potential utility of using latent profile analysis (LPA), a type of cluster analysis, in children with cancer to identify groups of patients who experience similar levels of symptom severity and impairment of physical function.

PROCEDURE

We analyzed patient-reported symptom and functional data previously collected using the Pediatric Patient Reported Outcomes Measurement Information System (PROMIS). LPA was used to identify and characterize groups of patients who reported similar levels of symptom severity and functional impairment. We then used the multinomial logit model to examine demographic and disease characteristics associated with symptom/function profile membership.

RESULTS

The analysis included 200 patients in treatment or in survivorship. We identified four symptom/function profiles; children currently receiving cancer treatment and those with at least one other medical problem were more likely to be members of the profile with the highest levels of symptom severity and functional impairment. Gender, age, race/ethnicity, and tumor type were not associated with profile membership.

CONCLUSIONS

LPA is a cluster research methodology that provides clinically useful results in pediatric oncology patients. Future studies of children with cancer using LPA could potentially lead to development of clinical scoring systems that predict patients' risk of developing more severe symptoms and functional impairments, allowing clinicians, patients, and parents to better anticipate and prevent the multiple symptoms that occur during and after treatment for childhood cancer.

Using a content analysis to identify study eligibility criteria concepts in cancer nursing research

The aims of this study were to (1) identify and categorize study eligibility criteria concepts used in cancer nursing randomized controlled trials and (2) determine the extent to which a previously identified set of study eligibility criteria, based primarily on medical randomized controlled trials, were represented in cancer nursing randomized controlled trials. A total of 145 articles of cancer nursing randomized controlled trials indexed in PubMed or Cumulative Index to Nursing and Allied Health Literature and published in English from 1986 to 2010 were screened, and 114 were eligible. Directed content analysis was conducted until data saturation was achieved. Forty-three concepts categorized into eight domains were extracted from 49 articles published in 27 different journals. Most of the concepts identified were related to health status, treatment, and demographics domains. Although many concepts matched to the previously identified study eligibility concepts based on medical research, new concepts may need to be added to fully represent cancer nursing research. This study provides a solid foundation for future study of mapping the concepts to existing standardized terminologies to identify which systems can be adopted. Nursing researchers can use these eligibility criteria concepts as a guideline in structuring the eligibility criteria for their studies.

Prospective longitudinal evaluation of a symptom cluster in breast cancer

CONTEXT

Symptom cluster research expands cancer investigations beyond a focus on individual symptoms in isolation.

OBJECTIVES

We conducted a prospective longitudinal study of sleep, fatigue, depression, anxiety, and perceived cognitive impairment in patients with breast cancer undergoing chemotherapy.

METHODS

Patient-reported outcome measures were administered prior to chemotherapy, at Cycle 4 Day 1, and six months after initiating chemotherapy. Participants were divided into four groups and assigned a symptom cluster index (SCI) score based on the number/severity of symptoms reported at enrollment.

RESULTS

Participants (N = 80) were mostly women (97.5%) with Stage II (69.0%) breast cancer, 29-71 years of age. Scores on all measures were moderately-highly correlated across all time points. There were time effects for all symptoms, except sleep quality (nonsignificant trend), with most symptoms worsening during chemotherapy, although anxiety improved. There were no significant group × time interactions; all four SCI groups showed a similar trajectory of symptoms over time. Worse performance status and quality of life were associated with higher SCI score over time.

CONCLUSION

With the exception of anxiety, the coherence of the symptom cluster was supported by similar patterns of severity and change over time in these symptoms (trend for sleep quality). Participants with higher SCI scores prior to chemotherapy continued to experience greater symptom burden during and after chemotherapy. Early assessment and intervention addressing this symptom cluster (vs. individual symptoms) may have a greater impact on patient performance status and quality of life for patients with higher SCIs.