Future Directions in Symptom Cluster Research

Integrating Remote Symptom Monitoring, Person-Centered Analytics, and Artificial Intelligence to Advance Precision Health Symptom Science in Oncology

OBJECTIVES

To summarize the relevance of remote symptom monitoring, person-centered statistical analyses, and artificial intelligence to precision health symptom science in oncology; and propose ways in which these three approaches can be integrated to further advance the field.

METHODS

The following commentary was adapted from a talk delivered at the Symptom Science Experts Meeting in October 2023 at the University of Lausanne, Switzerland. The commentary and talk were informed by an informal review of recent literature in precision health oncology symptom science.

RESULTS

Several remote symptom monitoring interventions have demonstrated potential to reduce disease- and treatment-related symptom burden and improve health outcomes in patients with cancer. Data collected passively by wearable and sensor technologies are also being used to characterize patients' health status. Person-centered statistical analyses have identified interindividual variability in the symptom experiences of patients with cancer. Together with artificial intelligence-based approaches, these analyses have identified factors associated with relatively adverse symptom experiences. Future directions for the field include integrating these approaches to optimize clinical resource allocation, tailor symptom management in real-time, and advance scientific knowledge of the symptom experience.

CONCLUSIONS

Integrating remote symptom monitoring, person-centered statistical analyses and artificial intelligence may provide deeper insights into how patients with cancer experience symptoms.

IMPLICATIONS FOR NURSING PRACTICE

Findings from research that uses remote symptom monitoring, person-centered statistical analyses, and artificial intelligence may enhance clinicians' ability to deliver personalized symptom management interventions.

Cancer Symptom Clusters in Children and Adolescents with Cancer Undergoing Chemotherapy: A Systematic Review

Objective: To synthesize and analyze the prevalence, composition, longitudinal stability, and predictors of cancer symptom clusters in children and adolescents undergoing chemotherapy. Method: A systematic literature review was conducted in accordance with the PRISMA 2020 guidelines. Evidence was sourced from MEDLINE/PubMed, Cochrane Library, Embase, PsycINFO, and Web of Science, as well as clinical trial registries (Clinical Trials WHO-ICTRP) and gray literature. The search was performed in February 2025, with no restrictions on publication date or language. Two independent reviewers screened and selected the studies. The methodological quality of the included studies was assessed using design-specific tools, and the findings were synthesized narratively. Results: A total of 6221 records were identified, with 12 studies meeting the inclusion criteria. These studies were published between 2010 and 2024 in the United States, Brazil, China, and Turkey. Cancer symptom clusters in children and adolescents followed well-defined patterns, with the gastrointestinal, emotional, fatigue-related, somatic, and self-image clusters being the most prevalent. Conclusions: Early identification of these cancer symptom clusters is essential for guiding interprofessional teams in delivering personalized, evidence-based care to children and adolescents with cancer and their families.

Breaking the code: Using the Precision Health Model to guide research and clinical care

BACKGROUND

Precision health is a person-centered approach to health and well-being that is operationalized through evaluating omics-level profiles and their associations with the exposome. A precision health approach addresses the challenge that "one size does not fit all" in the management of an individual's health.

PURPOSE

The purpose of this white paper is to introduce a Precision Health Model and its application in research and clinical care.

METHODS

An expert panel reviewed and synthesized the extant literature related to precision health, the current state of omics' science, and common exposome factors that influence the health/illness continuum. A case study provides the framework for the application of the Precision Health Model.

DISCUSSION

Precision health and key domains are defined and serve as the platform for the development of the Precision Health Model.

CONCLUSION

Application of the Precision Health Model will provide inclusive, equitable, person-centered research and clinical care.

Comparing Symptom Clusters in Recurrent Breast Cancer Survivors: A Latent Profile Analysis

BACKGROUND

Recurrent breast cancer survivors often experience diverse symptom clusters (SCs) that impact their quality of life (QOL). Identifying these SCs is essential for developing targeted interventions to improve symptom management and care.

OBJECTIVE

This study aimed to identify and compare SCs in recurrent breast cancer survivors with local-regional and distant recurrence.

METHODS

In this cross-sectional study, adult women diagnosed with recurrent breast cancer within the past 10 years completed the National Comprehensive Cancer Network-Breast Cancer Symptom Index Questionnaire-16. Latent profile analysis (LPA), guided by the Bayesian Information Criterion, identified distinct SCs based on groups of individuals with similar symptom patterns. Symptom frequency and severity were analyzed to determine the predominant symptoms for each recurrence type.

RESULTS

This study analyzed data from 165 recurrent breast cancer survivors. Among participants with local-regional recurrence, 2 distinct SCs were identified, with sleep disturbances and worsening worry being the most prominent symptoms. By contrast, 3 SCs emerged among those with distant recurrence. While no single symptom was universally predominant, pain and sleep disturbances were consistently present in 2 of the 3 clusters for this group.

CONCLUSIONS

This study highlights the utility of LPA in identifying distinct SCs among recurrent breast cancer survivors, linked to local-regional and distant recurrence. The findings suggest that healthcare providers should prioritize managing sleep disturbances and worsening worry in survivors with local-regional recurrence, and pain and sleep disturbances in those with distant recurrence. Addressing these SCs through personalized care strategies may improve QOL for this population.

Differences in symptom clusters based on multidimensional symptom experience and symptom burden in stroke patients

In the study of stroke symptoms, a significant unresolved issue remains: What are the similarities and differences in the use of three symptom dimensions-occurrence, severity, and distress-and symptom burden to identify symptom clusters, and which level is recommended for constructing symptom clusters? This study aimed to identify the number and types of symptom clusters in stroke patients on the basis of these dimensions and to determine the most suitable dimension for extracting symptom clusters. Data were collected from 656 stroke patients via a convenience sampling method at a tertiary-level hospital in Wuhan, China, between August 2023 and March 2024. Exploratory factor analysis was conducted to extract symptom clusters on the basis of the three dimensions of the symptom experience scale and symptom burden. Four similar symptom clusters were identified: the mood disturbance symptom cluster, the physical symptom cluster, the cognitive dysfunction symptom cluster, and the slurred speech and choking cough symptom cluster. The symptom of "fatigue" within the physical symptom cluster was not identified only in the dimension of distress (with a percentage agreement of 83.3%), whereas the symptom composition of other clusters remained consistent across all three symptom dimensions (with a percentage agreement of 100%). Moreover, all four symptom clusters exhibited high consistency in terms of both occurrence and symptom burden, regardless of whether the symptom with the highest factor loading or the overall symptom composition was considered. The use of symptom occurrence and symptom burden is recommended for identifying symptom clusters in stroke patients. Subsequently, trajectory studies of symptom clusters and symptom network analyses should be conducted on the basis of these two dimensions to establish a solid theoretical foundation for future clinical interventions and related scientific research.

The course of self-perceived cognitive functioning among patients with lymphoma and the co-occurrence with fatigue and psychological distress

PURPOSE

To investigate the proportion of patients with lymphoma with persistent clinically relevant cognitive impairment, and its relation to  treatment, fatigue, and psychological distress.

METHODS

Patients with diffuse-large-B-cell-lymphoma (DLBCL), follicular-lymphoma (FL), and chronic-lymphocytic-leukemia (CLL)/small-lymphocytic-lymphoma (SLL), diagnosed between 2004-2010 or 2015-2019, were followed up to 8 years post-diagnosis. Sociodemographic and clinical data were obtained from the Netherlands Cancer Registry and the Population-based HAematological Registry for Observational Studies. The EORTC QLQ-C30 was used to assess cognitive functioning and fatigue, and the HADS to assess psychological distress. Individual growth curve models were performed. Results were compared with an age- and sex-matched normative population.

RESULTS

A total of 924 patients were included (70% response rate). Persistent cognitive impairment was twice as high in patients (30%) compared to the normative population (15%). Additionally, 74% of patients reported co-occurring symptoms of persistent fatigue and/or psychological distress. Patients with FL (- 23 points, p < 0.001) and CLL/SLL (- 10 points, p < 0.05) reported clinically relevant deterioration of cognitive functioning, as did the normative population (FLnorm - 5 points, DLBCLnorm - 4 points, both p < 0.05). Younger age, higher fatigue, and/or psychological distress at inclusion were associated with worse cognitive functioning (all p's < 0.01). Treatment appeared less relevant.

CONCLUSION

Almost one-third of patients with lymphoma report persistent cognitive impairment, remaining present up to 8 years post-diagnosis. Early onset and co-occurrence of symptoms highlight the need for clinicians to discuss symptoms with patients early.

IMPLICATIONS FOR CANCER SURVIVORS

Early recognition of cognitive impairment could increase timely referral to suitable supportive care (i.e., lifestyle interventions) and reduce (long-term) symptom burden.

Unraveling the core and bridge menopausal symptoms of perimenopausal women: a network analysis

OBJECTIVE

Perimenopause is the period from the early menopausal transition to 12 months after the final menstrual period. The clustering of menopausal symptoms poses a challenge for perimenopausal management. Core symptoms are targets for interventions that can alleviate other related symptoms. Bridge symptoms are connectors that link related symptom clusters and can improve the effectiveness of interventions. This study aims to construct a network structure of menopausal symptoms and to identify core and bridge symptoms as a reference for future management.

METHODS

Two hundred forty-two Chinese perimenopausal women were included in the survey. The structure and associations of the menopausal symptoms assessed by the Greene Climacteric Scale were analyzed using a network analysis. We generated the network structure graph using R software and checked its accuracy and stability.

RESULTS

In the menopausal transition, the most prevalent symptoms were feeling tired or lacking in energy, excitability, and irritability. Sexual dysfunction was common among early postmenopausal women. Irritability (S = 7.16, C = 0.0167, B = 8) was a core symptom of the network. The depressive symptom cluster was a core symptom cluster, most of which have high centrality indices. Excitability (B = 6) was a bridge symptom connecting the anxiety and depressive symptom clusters.

CONCLUSIONS

Our study has highlighted the crucial significance of irritability and excitability in perimenopausal management. Overcoming the challenges of perimenopausal management requires the public to ameliorate the prejudice and stigma associated with emotional symptoms.

Exploring Symptom Cluster Patterns in Adult Cancer Patients Undergoing Chemotherapy: A Systematic Review

PURPOSE

This systematic review aimed to scrutinize the progression of symptom cluster research in adult cancer patients who received primary or adjuvant chemotherapy between 2001 and 2023, providing a comprehensive understanding of clinical practice and future research.

METHODS

PubMed, Ovid MEDLINE, Excerpta Medica Database, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, and Web of Science databases were searched for theme words and free words related to symptom clusters, cancer, and chemotherapy. Eligible studies were published between January 1, 2001, and May 30, 2023; adults who were diagnosed with cancer and received primary or adjuvant chemotherapy were evaluated.

RESULTS

Twenty-nine studies were included in this review. The Memorial Symptom Assessment Scale emerged as the predominant instrument and exploratory factor analysis was the most frequently employed statistical method to identify symptom clusters. Psychological, gastrointestinal, and physical image symptom clusters were the most commonly delineated. Furthermore, the temporal stability of the symptom clusters showed varying dynamics, with psychological symptom clusters displaying relative consistency over time.

CONCLUSION

Interventions are needed for the most common and stable symptoms in patients with cancer undergoing chemotherapy. Future endeavors may necessitate more longitudinal studies to delve deeper into the temporal stability and dynamic variations of symptom clusters. Such investigations hold promise for advancing symptom cluster research, elucidating the underlying mechanisms, and fostering the development of targeted interventions, thereby enriching the symptom management paradigm in oncological care.

Latent profile analysis for assessing symptom clusters in women with breast cancer

PURPOSE

To identify symptom clusters among breast cancer survivors and investigate differences in health-related quality of life (HRQoL) and distress based on these discerned symptom clusters using latent profile analysis.

METHODS

We enrolled 655 adult breast cancer survivors aged 19 years and older, registered with the Cancer Survivor Integrated Supportive Center from May 2020 to July 2022. The study measured five symptoms-pain, fatigue, insomnia, anxiety, and depression-using a Visual Analogue Scale ranging from 0 to 10 points. Distress was measured using the National Comprehensive Cancer Network Distress Thermometer, with scores ranging from 0 to 10 points. HRQoL was determined using the EuroQol-5 Dimension questionnaire. Data analysis was conducted using the Jamovi and Mplus 8.8 software programs.

RESULTS

The Cluster with Few Symptoms (46.8%) was the most common, whereas the Psychological Cluster with a very high degree of depression and anxiety accounted for 20.0%, and the Moderate symptom cluster with symptoms of 3 or more points accounted for 14.4%. Distress scores were relatively high in the Psychological Cluster and the Pain-Fatigue-Insomnia Cluster, and were lowest in the Cluster with Few Symptoms (F = 103.92, p < 0.001). HRQoL scores were highest in the Cluster with Few Symptoms and lowest in the Pain-Fatigue-Insomnia Cluster (F = 177.62, p < 0.001).

CONCLUSIONS

Approximately half of breast cancer survivors who had completed the major treatment experienced persistent high symptoms such as depression and anxiety or pain, fatigue, and insomnia.

IMPLICATIONS FOR CANCER SURVIVORS

These findings provide foundational data for developing tailored intervention strategies and programs based on symptom experiences.

Associations Between Gut Microbial Features and Sickness Symptoms in Kidney Transplant Recipients

PURPOSE

The study investigated the relationship of gut microbiome features and sickness symptoms in kidney transplant recipients.

METHODS

Employing a prospective, longitudinal design, we collected data from 19 participants who had undergone living-donor kidney transplant at three timepoints (pre-transplant and 1 week and 3 months post-transplant). Sickness symptom data and fecal specimens were collected at each timepoint. Participants were grouped either as high or low sickness symptom severity at baseline. Shotgun metagenomics sequencing characterized gut microbial structure and functional gene content. Fecal microbial features, including alpha (evenness and richness within samples) and beta (dissimilarities between samples) diversity and relative abundances, were analyzed using R statistical packages. Cross-sectional and longitudinal analyses examined relationships between gut microbial features and sickness symptoms.

RESULTS

Although our exploratory findings revealed no significant differences in alpha and beta diversity between groups, the high-severity group showed lower microbial richness and evenness than the low-severity group. The high-severity group had enriched relative abundance of bacteria from the genera Citrobacter and Enterobacter and reduced relative abundance of bacteria from the genus Akkermansia across timepoints. No functional genes differed significantly between groups or timepoints.

CONCLUSIONS

Kidney transplant recipients with high symptom burden displayed increased putative proinflammatory bacteria and decreased beneficial bacteria. This study provides an effect size that future large cohort studies can employ to confirm associations between gut microbial features and sickness symptom experiences in the kidney transplant population. The study findings also have implications for future interventional studies aiming to alleviate the sickness symptom burden in this population.

Risk factors for self-reported high symptom cluster burdens in patients with breast cancer undergoing chemotherapy in China: A cross-sectional study

Background and Aims

Further exploration is needed to recognize symptom clusters and categorize subgroups with distinct cluster patterns and associated risks, focusing on symptoms that are highly self-reported by patients with breast cancer undergoing chemotherapy. This study aimed to identify subgroups and risk factors for self-reported high symptom cluster burden among patients with breast cancer undergoing chemotherapy.

Methods

A total of 647 participants who met the inclusion criteria were included in the study, with data collected on demographics, disease information, self-reported symptoms, and psychosocial factors. Latent class analysis was utilized to identify the subgroup, while logistic regression was used to pinpoint predictive risk factors.

Results

Latent class analysis revealed three subgroups: the "high burden of all symptoms group" (n = 107, 16.54%), the "high burden of psychological symptoms group" (n = 103, 15.92%), and the "low burden of all symptoms group" (n = 437, 67.54%). Patients in the high burden of all symptom group and high burden of psychological symptom group exhibited significantly worse function outcomes (p < 0.001). Predictive risk factors for the "high burden of all symptom group" included older age, lower self-efficacy, worse body image, and a higher financial burden. Similarly, patients with high burden of psychological symptom were more likely to have low self-efficacy, poor body image, and a high financial burden.

Conclusion

The study demonstrated the importance of giving more attention to patients with breast cancer who are at risk of developing into membership of high symptom cluster burden group.

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.

Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer

Objective

This study aims to identify distinct subgroups among gastric cancer patients undergoing chemotherapy (CTX), delineate associated symptom networks, and ascertain the clinical and sociodemographic variables contributing to diverse symptom patterns.

Methods

Conducted in eastern China, our investigation involved gastric cancer patients receiving CTX. We gathered data using the M.D. Anderson Symptom Inventory Gastrointestinal Cancer Module along with clinical and sociodemographic variables. Subgroups were discerned based on symptom severity through latent profile analysis, and subsequent comparisons were made regarding the symptom networks in different subgroups.

Results

The analysis encompassed 677 eligible gastric cancer patients, revealing three profiles: "Profile 1: low class" (n = 354, 52.3%), "Profile 2: moderate class" (n = 222, 32.8%), and "Profile 3: all high class" (n = 101, 14.9%). Nausea-vomiting exhibited robust associations in the symptom networks of all subgroups, whereas sadness-distress, and taste change-lack of appetite were notably linked with Profile 1 and Profile 2. Distress emerged as a core symptom in Profile 1, lack of appetite dominated the symptom network in Profile 2, and fatigue attained the highest strength in Profile 3. Distinct symptom profiles were influenced by variables such as education level, CTX combined with surgical or herbal treatment, psychological resilience, and social support.

Conclusions

Patients within different subgroups manifest individualized patterns of symptom profiles. Analyzing demographics, disease characteristics, and psychosocial information among diverse subgroups facilitates healthcare providers in devising more personalized and targeted symptom management strategies, thereby alleviating the symptom burden on patients.

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.

Symptom profiles and related factors among patients with advanced cancer: A latent profile analysis

Objective

This study aimed to investigate symptom subgroups and associated influencing factors in patients with advanced cancer.

Methods

A cross-sectional study was conducted, involving 416 patients with advanced cancer. The study examined five symptoms: fatigue, pain, sleep impairment, anxiety, and depression. Latent Profile Analysis (LPA) was utilized to classify symptom subgroups. A multiple logistic regression analysis was conducted to explore factors associated with the identified symptom subgroups.

Results

The analysis revealed three distinct subgroups among the participants: "all low" (58.2%), characterized by normal symptoms except for moderate sleep quality; "all moderate" (35.1%), exhibiting normal symptoms except for poor sleep quality and fatigue; and "all high" (6.7%), experiencing normal pain, moderate depression, moderate anxiety, poor sleep quality, and fatigue. Malnutrition risk, cancer diagnosis, and cancer survivorship duration were found to be associated with a more severe symptom burden.

Conclusions

Patients in the "all high" subgroup faced an increased risk of malnutrition and a longer cancer survivorship duration. Additionally, patients in the "all moderate" subgroup were distinguished by having a breast cancer diagnosis. These findings have significant implications for allocating medical resources and implementing person-centered symptom management strategies.

Symptom Profiles and Related Factors Among Breast Cancer Patients Undergoing Endocrine Therapy: A Latent Profile Analysis

BACKGROUND

To provide person-centered symptom management, the interindividual variability in breast cancer patients merits further exploration. However, how sociodemographic and clinical characteristics influence symptom profile membership in endocrine therapy for breast cancer is still unknown.

OBJECTIVES

This study aimed to explore symptom profiles of breast cancer patients undergoing endocrine therapy and to identify sociodemographic and clinical characteristics among symptom subgroup members.

METHODS

A cross-sectional study was conducted, and participants were invited to complete a general information questionnaire and Functional Assessment of Cancer Therapy-Endocrine Subscale. Latent profile analysis, univariate analysis, and multinomial logistic regression were performed to explore symptom profiles and identify interindividual variability.

RESULTS

Three distinct subgroups were identified: "all high" (9.8%), "all moderate but high sexual symptoms" (25.4%), and "all low" (64.8%). Age, body mass index, main payment source for medical expenses, type of endocrine therapy, and history of breast cancer treatment were factors that determined membership in these 3 symptom subgroups.

CONCLUSION

Patients' demographic and clinical characteristics were associated with their endocrine therapy-related symptom profiles. In general, those younger in age who pay out of pocket for medical expenses, use aromatase inhibitors, present a history of chemotherapy, and have a higher body mass index have a greater risk of symptom burden.

IMPLICATION FOR PRACTICE

The findings of this study will contribute to implementing individual cancer care based on the characteristics and needs of patient subgroups, which may improve the allocation of medical resources and provide interventions tailored to patients' unique needs.

Comorbidities of community-dwelling older adults with urinary incontinence: A scoping review

BACKGROUND

Identifying comorbidities is a critical first step to building clinical phenotypes to improve assessment, management, and outcomes.

OBJECTIVES

1) Identify relevant comorbidities of community-dwelling older adults with urinary incontinence, 2) provide insights about relationships between conditions.

METHODS

PubMed, Cumulative Index of Nursing and Allied Health Literature, and Embase were searched. Eligible studies had quantitative designs that analyzed urinary incontinence as the exposure or outcome variable. Critical appraisal was performed using the Joanna Briggs Institute Critical Appraisal Checklists.

RESULTS

Ten studies were included. Most studies had methodological weaknesses in the measurement of conditions. Comorbidities affecting the neurologic, cardiovascular, psychologic, respiratory, endocrine, genitourinary, and musculoskeletal systems were found to be associated with urinary incontinence.

CONCLUSION

Existing literature suggests that comorbidities and urinary incontinence are interrelated. Further research is needed to examine symptoms, shared mechanisms, and directionality of relationships to generate clinical phenotypes, evidence-based holistic care guidelines, and improve outcomes.

Symptom Cluster Experiences of Patients Operated for Oral Cancer: A Mixed Methods Study

OBJECTIVE

This convergent mixed methods study aimed to obtain a comprehensive understanding of symptom cluster experiences in patients with oral cancer. Survey and phenomenological interviews were conducted in parallel to identify distinct patient subgroups based on symptom cluster experiences along with their predictors and explore experiences of living with symptom clusters, respectively.

DATA SOURCES

A convenience sample of 300 patients with oral cancer who had completed surgery provided the quantitative data, and a maximum variation purposive subsample of 20 participants, drawn from the survey sample, provided the qualitative data. Agglomerative hierarchical cluster analysis was used to identify subgroups, multivariate analyses were done to identify predictors, and thematic analysis was used for patient narratives.

CONCLUSION

Almost 94% of the survey participants had two or more co-occurring symptoms. The four most severe and prevalent symptoms were dysphagia, problems with teeth or gums, speech difficulty, and dry mouth. A distinct subgroup consisting of 61% of patients reported severe dysphagia and teeth problems, which was associated with age, oral cancer stage and site. Interviews revealed the causes and the context influencing the perception and response to these symptoms. Thus, the quantitative data provided information on severity and patient subgroups based on symptom cluster experiences, while the qualitative data validated these conclusions and additionally provided in-depth details and meaningful insight on perceived causes and contextual influences of their experiences. This comprehensive picture of symptom cluster experiences can aid in the development of patient-centered interventions for people with oral cancer.

IMPLICATIONS FOR NURSING PRACTICE

An interdisciplinary approach to targeting concurrent symptoms incorporating psychological and physical interventions is necessary. Older patients treated for Stage IV cancers and for buccal mucosa tumors are at high-risk of having severe dysphagia postoperatively, and these patients should be targeted for dysphagia interventions. The contextual factors play an important role in developing patient-centered interventions.

Sickness Symptoms in Kidney Transplant Recipients: A Scoping Review

Sickness symptoms (depressive symptoms, anxiety, and fatigue) are common among people with chronic illness, often presenting as a symptom cluster. Sickness symptoms persist in many patients with chronic kidney disease, even after kidney transplantation (KT); however, little is known about sickness symptom-induced burden in KT recipients. This scoping review synthesizes available evidence for sickness symptoms in KT recipients, including findings on symptom prevalence, predictors, outcomes, interrelationships, and clustering. Among 38 reviewed studies, none identified sickness symptoms as a cluster, but we observed interrelationships among the symptoms examined. Fatigue was the most prevalent sickness symptom, followed by anxiety and depressive symptoms. Predictors of these symptoms included demographic, clinical, and psychosocial factors, and health-related quality of life was the most researched outcome. Future research should use common data elements to phenotype sickness symptoms, include biological markers, and employ sophisticated statistical methods to identify potential clustering of sickness symptoms in KT recipients.

Systematic review of the literature on the occurrence and characteristics of dyspnea in oncology patients

BACKGROUND

Dyspnea is a common and distressing symptom for oncology patients.However, dyspnea is not well-characterized and often underestimated by clinicians. This systematic review summarizes the prevalence, intensity, distress, and impact of dyspnea in oncology patients and identifies research gaps.

METHODS

A search of all of the relevant databases was done from 2009 to May 2022. A qualitative synthesis of the extant literature was performed using established guidelines.

RESULTS

One hundred-seventeen studies met inclusion criteria. Weighted grand mean prevalence of dyspnea in patients with advanced cancer was 58.0%. Intensity of dyspnea was most common dimension evaluated, followed by the impact and distress. Depression and anxiety were the most common symptoms that co-occurred with dyspnea.

CONCLUSION

Numerous methodologic challenges were evident across studies. Future studies need to use valid and reliable measures; evaluate the impact of dyspnea; and determine biomarkers for dyspnea.

Network analysis to identify symptoms clusters and temporal interconnections in oncology patients

Oncology patients experience numerous co-occurring symptoms during their treatment. The identification of sentinel/core symptoms is a vital prerequisite for therapeutic interventions. In this study, using Network Analysis, we investigated the inter-relationships among 38 common symptoms over time (i.e., a total of six time points over two cycles of chemotherapy) in 987 oncology patients with four different types of cancer (i.e., breast, gastrointestinal, gynaecological, and lung). In addition, we evaluated the associations between and among symptoms and symptoms clusters and examined the strength of these interactions over time. Eight unique symptom clusters were identified within the networks. Findings from this research suggest that changes occur in the relationships and interconnections between and among co-occurring symptoms and symptoms clusters that depend on the time point in the chemotherapy cycle and the type of cancer. The evaluation of the centrality measures provides new insights into the relative importance of individual symptoms within various networks that can be considered as potential targets for symptom management interventions.

George SM, Ream M, Antoni MH. A latent profile analysis to assess physical, cognitive and emotional symptom clusters in women with breast cancer

OBJECTIVE

Current research on the physical and psychological functioning of breast cancer survivors often takes an approach where symptoms are studied independently even though they often occur in clusters This paper aims to identify physical and psychological symptom clusters among breast cancer survivors while assessing clinical, psychosocial and demographic characteristics that predict subgroup membership.

DESIGN

Using post-surgical data collected from 240 women with stage 0-III breast cancer, symptom clusters were identified using latent profile analysis of patient-reported symptoms.

MAIN OUTCOME MEASURES

Baseline measures included the Pittsburg Sleep Quality Index, the Fatigue Symptom Inventory, the Hamilton Rating Scales for depression and anxiety and the Impact of Event Scale.

RESULTS

Three distinct classes were identified: (1) mild physical, cognitive and emotional symptoms, (2) moderate across all domains and (3) high levels of all symptoms. Lower socio-economic status, minority ethnicity, younger age, advanced disease stage along with lower self-efficacy and less internal locus of control were significantly associated with a higher likelihood of class 3 membership.

CONCLUSION

By identifying those most at risk for severe physical and psychological symptoms in the post-surgical period, our results can guide the development of tailored interventions to optimise quality of life during breast cancer treatment.

Distinguishing symptom patterns in adults newly diagnosed with cancer: a latent class analysis

CONTEXT

Socio-demographic differences, including place of residence, socio-economic status, ethnicity, and gender, have been associated with various inequities in cancer care outcomes.

OBJECTIVES

The aims were to distinguish subgroups of patients with different symptom patterns at the time of the initial oncology visit and determine which clinical and socio-demographic variables are associated the different symptom patterns.

METHOD

Responses to the Edmonton Symptom Assessment Scale- revised and clinical and socio-demographic variables were obtained via the Ontario Cancer Registry and linked health data files. Latent class analyses were conducted to identify and compare the subgroups.

RESULTS

The cohort (n = 216,110) with a mean age of 64.5 years consisted of 54.1% women. The analyses identified six latent classes (proportions ranging from 0.09 to 0.31) with distinct symptom patterns, including: 1) many severe symptoms, 2) many less severe symptoms, 3) predominantly mild symptoms, 4) severe psychosocial symptoms, 5) severe somatic symptoms, 6) few symptoms. The subgroups were associated not only with clinical differences (diagnoses and functional status), but also with various socio-demographic (age, sex) and community characteristics (neighborhood income, proportion of foreign born, rurality).

CONCLUSION

The results indicated that there were substantial differences in symptom patterns at the time of the initial oncology visit, which were associated with both clinical diagnoses and socio-demographic differences. These results point to the importance of taking the social situation of patients into account, and not just diagnosis, to better understand differences in symptom patterns of people living with cancer.

Identification of Distinct Symptom Profiles in Cancer Patients Using a Pre-Specified Symptom Cluster

CONTEXT

Pain, fatigue, sleep disturbance, and depression often co-occur in oncology patients and negatively impact quality of life (QOL).

OBJECTIVES

Study purposes were to identify subgroups of patients with distinct symptom profiles based on their experiences with a pre-specified symptom cluster (i.e., pain, fatigue, depression, sleep disturbance) and to identify demographic, clinical, and symptom characteristics and QOL outcomes associated with each distinct profile.

METHODS

Patients with breast, lung, gastrointestinal, and gynecologic cancers (n = 1340) were recruited from outpatient clinics during their first or second cycle of chemotherapy. They completed valid and reliable measures of pain, fatigue, sleep disturbance. depression, and QOL prior to their next dose of chemotherapy. Latent class profile analysis was used to identify the patient subgroups. Differences among the profiles were evaluated using parametric and non-parametric tests.

RESULTS

Three distinct profiles were identified (i.e., Low (44.0%), Moderate (45.1%), High (10.8%). Compared to Low class, Moderate and High classes were younger and more likely to be female. Compared to the other two classes, High class was less likely to be married/partnered and employed, more likely to have a lower income and childcare responsibilities, had lower functional status, a higher body mass index, and exercised less. For both QOL scales, differences in subscale and total scores followed the same pattern (Low>Moderate>High).

CONCLUSIONS

Over 55% of patients undergoing chemotherapy had a moderate to high symptom burden associated with these four common co-occurring symptoms. Multimodal interventions are needed to decrease symptom burden and improve QOL outcomes in these patients.

Synergistic Interactions Among Fatigue, Sleep Disturbance, and Depression in Women With Breast Cancer: A Cross-Sectional Study

OBJECTIVES

To assess the symptom cluster of fatigue, sleep disturbance, and depression among female patients with breast cancer receiving chemotherapy, and to evaluate its impact on quality of life (QOL) and symptom severity.

SAMPLE & SETTING

372 patients receiving adjuvant chemotherapy recruited from two tertiary hospitals in China.

METHODS & VARIABLES

Symptom severity and QOL were evaluated using the Brief Fatigue Inventory, Pittsburgh Sleep Quality Index, Patient Health Questionnaire-9, and Functional Assessment of Cancer Therapy-Breast on the eighth day after receiving chemotherapy.

RESULTS

All symptoms positively correlated with each other. Although the symptom cluster was significantly associated with decreased QOL, individualized symptom severity worsened as the number of symptoms increased.

IMPLICATIONS FOR NURSING

The prevalence of and interactions among fatigue, sleep disturbance, and depression negatively affect symptom severity and patients' QOL. Conducting early assessment followed by effective cluster-based interventions is needed to manage this symptom cluster.

Persistent symptoms of fatigue, neuropathy and role-functioning impairment among indolent non-Hodgkin lymphoma survivors: A longitudinal PROFILES registry study

Little is known about the long-term health-related quality of life (HRQoL) and persistence of symptoms among patients with indolent non-Hodgkin lymphoma (iNHL). This large population-based longitudinal study therefore investigated the long-term HRQoL and persistence of symptoms and identified associated sociodemographic, clinical and psychological factors. Patients diagnosed between 1999 and 2014 and four or more months after diagnosis were invited to participate in a longitudinal survey. Sociodemographic and clinical data were obtained from the Netherlands Cancer Registry. The EORTC QLQ-C30 and CLL-16 were completed by 669 patients (74% response rate). Patients completed on average four questionnaires. Primary treatment was active surveillance (52%), systemic therapy (31%) or radiotherapy (13%). Respectively, 36% reported persistent fatigue, 33% persistent neuropathy and 25% persistent role-functioning impairment. This was 2-3 times higher than in the age- and sex-matched normative population. Up to 10 years after diagnosis, scores remained relatively stable without clinically relevant changes. Comorbidities, psychological distress, shorter time since diagnosis, systemic therapy, younger age, education level and having no partner were associated with worse outcomes (all ps < 0.05). Up to a third of patients with iNHL experience long-term persistent symptoms which do not improve over time. Early recognition of symptoms will help in providing tailored supportive care for those in need.

Past mercury exposure and current symptoms of nervous system dysfunction in adults of a First Nation community (Canada)

BACKGROUND

The watershed in Asubpeeschoseewagong Netum Anishinabek (Grassy Narrows First Nation) territory has been contaminated by mercury (Hg) since 1962, resulting in very high Hg concentrations in fish, central to the community's culture, traditions, economy and diet. Biomarkers of Hg exposure (umbilical cord blood and hair/blood samples), monitored between 1970 and 1997, decreased over time. A recent Grassy Narrows Community Health Assessment (GN-CHA) survey included current symptoms of nervous system dysfunction. The present study aimed to cluster self-reported symptoms and examine their associations with past Hg exposure.

METHODS

The GN-CHA included 391 adults. Symptom clustering used a two-step segmentation approach. Umbilical cord Hg and/or yearly measurements of equivalent hair Hg were available for 242 participants. Structural Equation Models (SEM) displayed the associations between Hg exposure and clusters, with Hg exposure modelled as a latent variable or in separate variables (prenatal, childhood and having had hair Hg ≥ 5 μg/g at least once over the sampling period). Longitudinal Mixed Effects Models (LMEM) served to examine past hair Hg with respect to clusters.

RESULTS

A total of 37 symptoms bonded into 6 clusters, representing Extrapyramidal impairment, Sensory impairment, Cranial nerve disturbances, Gross motor impairment, Neuro-cognitive deficits and Affect/Mood disorders. Median Hg concentrations were 5 μg/L (1-78.5) and 1.1 μg/g (0.2-16) for umbilical cord and childhood hair, respectively. More than one-third (36.6%) had hair Hg ≥ 5 μg/g at least once. In SEM, latent Hg was directly associated with Extrapyramidal and Sensory impairment, Cranial nerve disturbances and Affect/Mood disorders. Direct associations were observed for prenatal exposure with Affect/Mood disorders, for childhood exposure with Extrapyramidal impairment and Cranial nerve disturbances, and for hair Hg ≥ 5 μg/g with Extrapyramidal and Sensory impairment. For all clusters, a further association between past Hg exposure and symptom clusters was mediated by diagnosed nervous system disorders. LMEM showed higher past hair Hg among those with higher scores for all clusters, except Affect/Mood disorders.

CONCLUSION

Our findings provide evidence that in this First Nation community, past Hg exposure from fish consumption was associated with later-life clusters of coexisting symptoms of nervous system dysfunction.

Symptom clusters in patients receiving chemotherapy: A systematic review

BACKGROUND AND PURPOSE

Since 2001, symptom cluster research has grown considerably. However, because multiple methodological considerations remain, ongoing synthesis of the literature is needed to identify gaps in this area of symptom science. This systematic review evaluated the progress in symptom clusters research in adults receiving primary or adjuvant chemotherapy since 2016.

METHODS

Eligible studies were published in English between 1 January 2017 and 17 May 2021; evaluated for and identified symptom clusters 'de novo;' and included only adults being treated with primary or adjuvant chemotherapy. Studies were excluded if patients had advanced cancer or were receiving palliative chemotherapy; symptoms were measured after treatment; symptom clusters were pre-specified or a patient-centred analytic approach was used. For each study, symptom instrument(s); statistical methods and symptom dimension(s) used to create the clusters; whether symptoms were allowed to load on more than one factor; method used to assess for stability of symptom clusters and associations with secondary outcomes and biomarkers were extracted.

RESULTS

Twenty-three studies were included. Memorial Symptom Assessment Scale was the most common instrument and exploratory factor analysis was the most common statistical method used to identify symptom clusters. Psychological, gastrointestinal, and nutritional clusters were the most commonly identified clusters. Only the psychological cluster remained relatively stable over time. Only five studies evaluated for secondary outcomes.

DISCUSSION

While symptom cluster research has evolved, clear criteria to evaluate the stability of symptom clusters and standardised nomenclature for naming clusters are needed. Additional research is needed to evaluate the biological mechanism(s) for symptom clusters.

PROSPERO REGISTRATION NUMBER

CRD42021240216.

Patient-centred approaches for the management of unpleasant symptoms in kidney disease

Patients with chronic kidney disease (CKD) frequently experience unpleasant symptoms. These can be gastrointestinal (constipation, nausea, vomiting and diarrhoea), psychological (anxiety and sadness), neurological (lightheadedness, headache and numbness), cardiopulmonary (shortness of breath and oedema), dermatological (pruritus and dry skin), painful (muscle cramps, chest pain and abdominal pain) or involve sexual dysfunction, sleep disorders and fatigue. These symptoms often occur in clusters, with one of them as the lead symptom and others as secondary symptoms. Uraemic toxins (also called uremic toxins) are often considered to be the main cause of CKD-associated symptom burden, but treatment of uraemia by dialysis often fails to resolve them and can engender additional symptoms. Indeed, symptoms can be exacerbated by comorbid conditions, pharmacotherapies, lifestyle and dietary regimens, kidney replacement therapy and ageing. Patients with kidney disease, including those who depend on dialysis or transplantation, should feel actively supported in their symptom management through the identification and targeting of unpleasant symptoms via a tailored palliative care approach. Such an approach may help minimize the burden and consequences of kidney disease, and lead to improved patient outcomes including health-related quality of life and better life participation.

Symptom Clusters and Key Symptoms Among Midlife Perimenopausal and Postmenopausal Women With and Without Metabolic Syndrome

BACKGROUND

Midlife perimenopausal and postmenopausal women with metabolic syndrome experience multiple symptoms concurrently.

OBJECTIVE

The study objectives were to examine the relationship among symptoms through network visualization and identify and compare symptom clusters and key symptoms across symptom occurrence and symptom severity dimensions in midlife perimenopausal and postmenopausal women with and without metabolic syndrome.

METHODS

Cross-sectional data from the Study of Women's Health Across the Nation (Visit 5) were used for analysis. A machine-learning-based network analysis and the Walktrap algorithm were used to fulfill the study objectives.

RESULTS

The number and types of symptom clusters differed between the groups. Midlife perimenopausal and postmenopausal women with metabolic syndrome experienced the psychological/somatic/genital cluster (key symptom: frequent mood change), the sleep/urinary cluster (sleep disturbance), and the vasomotor cluster (cold sweat) in the symptom occurrence dimension and the psychological/somatic/sexual cluster (anxiety), the sleep/urinary cluster (sleep disturbance), and the vasomotor/genital cluster (night sweat) in the symptom severity dimension. In contrast, midlife perimenopausal and postmenopausal women without metabolic syndrome experienced the psychological cluster (anxiety), the sleep/somatic/genitourinary cluster (sleep disturbance), and the vasomotor cluster (night sweat) in the symptom occurrence dimension and the psychological/somatic cluster (anxiety), the sleep/urinary cluster (sleep disturbance), the vasomotor cluster (night sweat), and the sexual/genital cluster (vaginal dryness) in the symptom severity dimension.

DISCUSSION

The study findings may serve as a knowledge basis for effective assessment and management of symptom clusters and key symptoms in clinical settings and provide directions for future development of targeted symptom management interventions.

Characterization of Symptoms and Symptom Clusters for Type 2 Diabetes Using a Large Nationwide Electronic Health Record Database

OBJECTIVE

A variety of symptoms may be associated with type 2 diabetes and its complications. Symptoms in chronic diseases may be described in terms of prevalence, severity, and trajectory and often co-occur in groups, known as symptom clusters, which may be representative of a common etiology. The purpose of this study was to characterize type 2 diabetes-related symptoms using a large nationwide electronic health record (EHR) database.

METHODS

We acquired the Cerner Health Facts, a nationwide EHR database. The type 2 diabetes cohort (n = 1,136,301 patients) was identified using a rule-based phenotype method. A multistep procedure was then used to identify type 2 diabetes-related symptoms based on International Classification of Diseases, 9th and 10th revisions, diagnosis codes. Type 2 diabetes-related symptoms and co-occurring symptom clusters, including their temporal patterns, were characterized based the longitudinal EHR data.

RESULTS

Patients had a mean age of 61.4 years, 51.2% were female, and 70.0% were White. Among 1,136,301 patients, there were 8,008,276 occurrences of 59 symptoms. The most frequently reported symptoms included pain, heartburn, shortness of breath, fatigue, and swelling, which occurred in 21-60% of the patients. We also observed over-represented type 2 diabetes symptoms, including difficulty speaking, feeling confused, trouble remembering, weakness, and drowsiness/sleepiness. Some of these are rare and difficult to detect by traditional patient-reported outcomes studies.

CONCLUSION

To the best of our knowledge, this is the first study to use a nationwide EHR database to characterize type 2 diabetes-related symptoms and their temporal patterns. Fifty-nine symptoms, including both over-represented and rare diabetes-related symptoms, were identified.

Emerging Patient-Centered Concepts in Pain Among Adults With Chronic Kidney Disease, Maintenance Dialysis, and Kidney Transplant

Patient reports of moderate to severe pain are common across the spectrum of chronic kidney disease. The synergistic effects of comorbid depression and anxiety can lead to maladaptive coping responses to pain, namely pain catastrophizing and illness-related post-traumatic stress disorder. If underlying depression and anxiety and associated maladaptive coping responses are not treated, patients can experience an increased perception of pain, worsened disability, decreased quality of life, withdrawal from social activities, and increased morbidity and mortality. Meanwhile, interest in nonpharmacologic treatments for pain that targets coping as well as comorbid anxiety and depression has been increasing, particularly given the significant societal damage that has resulted from the opioid epidemic. Evidence-based, nonpharmacologic treatments have shown promise in treating pain in areas outside of nephrology. Currently, little is known about the effects of these treatments among adults with CKD, and particularly end-stage kidney disease, when chronic pain can become debilitating. In this review, we examine patient-centered concepts related to pain that have received little attention in the nephrology literature. We also describe emerging areas of research, including omics technologies for biomarker discovery and advanced symptom clustering methods for symptom phenotyping, which may be useful to future kidney disease research and treatment.

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.

Symptom clusters in 1330 survivors of 7 cancer types from the PROFILES registry: A network analysis

Background

Research into the clustering of symptoms may improve the understanding of the underlying mechanisms that affect survivors' symptom burden. This study applied network analyses in a balanced sample of cancer survivors to 1) explore the clustering of symptoms and 2) assess differences in symptom clustering between cancer types, treatment regimens, and short‐term and long‐term survivors.

Methods

This study used cross‐sectional survey data, collected between 2008 and 2018, from the population‐based Patient Reported Outcomes Following Initial Treatment and Long Term Evaluation of Survivorship registry, which included survivors of 7 cancer types (colorectal cancer, breast cancer, ovarian cancer, thyroid cancer, chronic lymphocytic leukemia, Hodgkin lymphoma, and non‐Hodgkin lymphoma). Regularized partial correlation network analysis was used to explore and visualize the associations between self‐reported symptoms (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire) and the centrality of these symptoms in the network (ie, how strongly a symptom was connected to other symptoms) for the total sample and for subgroups separately.

Results

In the total sample (n = 1330), fatigue was the most central symptom in the network with moderate direct relationships with emotional symptoms, cognitive symptoms, appetite loss, dyspnea, and pain. These relationships persisted after adjustments for sociodemographic and clinical characteristics. Connections between fatigue and emotional symptoms, appetite loss, dyspnea, and pain were consistently found across all cancer types (190 for each), treatment regimens, and short‐term and long‐term survivors.

Conclusions

In a heterogenous sample of cancer survivors, fatigue was consistently the most central symptom in all networks. Although longitudinal data are needed to build a case for the causal nature of these symptoms, cancer survivorship rehabilitation programs could focus on fatigue to reduce the overall symptom burden.

In a sample of 1330 survivors, fatigue is found to be the most central symptom (ie, the symptom most strongly connected to other symptoms) in the network with moderate direct relationships with emotional symptoms, cognitive symptoms, appetite loss, dyspnea, and pain. Connections between fatigue and emotional symptoms, appetite loss, dyspnea, and pain were consistently found across all cancer types (colorectal cancer, breast cancer, ovarian cancer, thyroid cancer, chronic lymphocytic leukemia, Hodgkin lymphoma, and non‐Hodgkin lymphoma, n = 190 for each group), treatment regimens, and short‐term and long‐term survivors.

Symptom clusters experienced by breast cancer patients at various treatment stages: A systematic review

Breast cancer patients often experience symptoms that adversely affect their quality of life. It is understood that many of these symptoms tend to cluster together: while they might have different manifestations and occur during different phases of the disease trajectory, the symptoms often have a common aetiology that is a potential target for intervention. Understanding the symptom clusters associated with breast cancer might usefully inform the development of effective care plans for affected patients. The aim of this paper is to provide an updated systematic review of the known symptom clusters among breast cancer patients during and/or after cancer treatment. A search was conducted using five databases for studies reporting symptom clusters among breast cancer patients. The search yielded 32 studies for inclusion. The findings suggest that fatigue-sleep disturbance and psychological symptom cluster (including anxiety, depression, nervousness, irritability, sadness, worry) are the most commonly-reported symptom clusters among breast cancer patients. Further, the composition of symptom clusters tends to change across various stages of cancer treatment. While this review identified some commonalities, the different methodologies used to identify symptom clusters resulted in inconsistencies in symptom cluster identification. It would be useful if future studies could separately examine the symptom clusters that occur in breast cancer patients undergoing a particular treatment type, and use standardised instruments across studies to assess symptoms. The review concludes that further studies could usefully determine the biological pathways associated with various symptom clusters, which would inform the development of effective and efficient symptom management strategies.

Symptom Profiles, Health-Related Quality of Life, and Clinical Blood Markers among Korean Community-Dwelling Older Adults Living with Chronic Conditions

Older adults suffer from multiple symptoms, which negatively affects their health-related quality of life. The single-symptom management approach has been less than effective. The data of 2362 Korean community-dwelling older adults aged 70 and above were analyzed in the Korean Frailty and Aging Cohort Study (KFACS) study. A cluster analysis, correlation analysis, and logistic regression were used to analyze the data. We found three symptom clusters: high symptom burden (HSB, n = 1032); pain and fatigue group (PAF, n = 566); and the sleep deprivation group (SDP, n = 764). Participants in the HSB group are more likely to be of old age (OR = 1.1), be female (OR = 2.4), live in a rural area (OR = 1.4), have low physical activity (OR = 0.9), and have multiple chronic conditions (OR = 1.5). The clinical blood markers analysis showed a negative relationship among the physical health, free T4 (r = -0.083, p < 0.01) and insulin (r = -0.084, p < 0.01). The sex-specific blood markers analysis showed differences among three clusters. While free testosterone (male: r = 0.124, female: r = 0.110, p < 0.05) and dehydroepiandrosterone (DHEA) (male: r = 0.352 and female: r = 0.134, p < 0.05) were associated with physical health in the HSB group, only free testosterone was associated with mental health (male: r = -0.093, and female: r = -0.116, p < 0.05) in the SDP group. These findings suggest the potential role of the patient's sex and sex hormones in symptoms of Korean community-dwelling older adults. Understanding the symptom profiles and impact of biopsychosocial factors may enhance precision symptom management.

Higher Levels of Stress Are Associated With a Significant Symptom Burden in Oncology Outpatients Receiving Chemotherapy

CONTEXT

A cancer diagnosis and associated treatments, as well as the uncertainty of the disease course, are stressful experiences for most patients. However, little information is available on the relationship between stress and symptom burden.

OBJECTIVES

The study purpose was to evaluate for differences in the severity of fatigue, lack of energy, sleep disturbance, and cognitive function, among three groups of patients with distinct stress profiles.

METHODS

Patients receiving chemotherapy (n = 957) completed measures of general, cancer-specific, and cumulative life stress and symptom inventories. Latent profile analysis was used to identify subgroups of patients with distinct stress profiles.

RESULTS

Three distinct subgroups of patients were identified (i.e., stressed [39.3%], normative [54.3%], resilient [5.7%]). For cognitive function, significant differences were found among the latent classes (stressed < normative < resilient). For both sleep disturbance and morning and evening fatigue, compared to the normative and resilient classes, the stressed class reported higher severity scores. Compared to the normative and resilient classes, the stressed class reported low levels of morning energy. Compared to the normative class, the stressed class reported lower levels of evening energy.

CONCLUSIONS

Consistent with our a priori hypothesis, patients in the stressed class had the highest symptom severity scores for all four symptoms and all these scores were above the clinically meaningful cutoffs for the various instruments.

Symptom Profiles of Latina Breast Cancer Survivors: A Latent Class Analysis

BACKGROUND

Symptom research among Latinas with breast cancer is limited-especially as it relates to multiple co-occurring symptoms.

OBJECTIVE

The aim of the study was to identify subgroups (latent classes) of Latinas who have distinct symptom profiles while receiving radiation, chemotherapy, and/or hormonal therapy for breast cancer.

METHODS

This secondary analysis included intake data from three randomized trials of supportive care psychosocial interventions for Latinas treated for breast cancer (n = 290). Prevalence of 12 symptoms-measured using the General Symptom Distress Scale-was entered into the latent class analysis to identify classes of women with different symptom profiles.

RESULTS

Most of the participants had Stage II or III disease, and 81% reported receiving chemotherapy. On average, women reported 4.2 (standard deviation [SD] = 3) symptoms with an overall symptom distress score of 6.4 (SD = 2.5) on a 1-10 scale, with 10 being most distressing. Latent class analysis resulted in three classes that were labeled based on symptoms with the highest prevalence. Class 1 (n = 192) was "Disrupted Sleep and Tired," Class 2 (n = 74) was "Tired," and Class 3 (n = 24) was "Pain, Disrupted Sleep, and Tired." Depression, anxiety, and difficulty concentrating had moderate prevalence in each of the three classes.

DISCUSSION

Beyond the core six symptoms (depression, anxiety, fatigue, pain, disrupted sleep, difficulty concentration), the classes differed in the prevalence of other burdensome symptoms (e.g., nausea, vomiting, constipation), which provide implications for treatment. Thus, it is important to assess for the full range of symptoms so that supportive care interventions can be tailored for the distinct symptom profiles of Latinas with breast cancer.

Changes in Fatigue, Psychological Distress, and Quality of Life After Chemotherapy in Women with Breast Cancer: A Prospective Study

BACKGROUND

Chemotherapy leads to various symptoms and psychological distress, which contribute to a significant decrease in the quality of life of the patients.

OBJECTIVES

The aim of this study was to identify changes and interrelationships in the fatigue-depression-anxiety symptom cluster and quality of life during the cancer care trajectory in women with breast cancer.

METHODS

Fifty women participated in the study and completed questionnaires at 3 different times: prechemotherapy, postchemotherapy, and 6 months after the completion of chemotherapy. The assessment tools were the Functional Assessment of Cancer Therapy-Fatigue Scale, Hospital Anxiety and Depression Scale, and Functional Assessment of Cancer Therapy-Breast Cancer version 4 Scale. Data were analyzed using descriptive and repeated-measures analysis of variance statistics.

RESULTS

A significant increase in fatigue (F = 41.95, P < .001) and psychological distress (F = 26.55, P < .001) from prechemotherapy to postchemotherapy was noted. Improvement was observed 6 months after the completion of chemotherapy. A positive or negative change in fatigue was associated with the same in psychological distress. Quality of life (F = 65.22, P < .001) also showed similar change patterns as observed with fatigue and psychological distress. Fatigue had a greater impact on quality of life at postchemotherapy, but psychological distress had a greater impact at prechemotherapy and at the 6-month follow-up.

CONCLUSION

These results suggest that chemotherapy is highly associated with the fatigue-depression-anxiety symptom cluster and quality of life in women with breast cancer.

IMPLICATIONS FOR PRACTICE

Nursing intervention is needed to relieve the intensity of the fatigue-depression-anxiety symptom cluster and thus improve the quality of life of patients undergoing chemotherapy from before treatment to follow-up.

Symptom clusters in head and neck cancer patients with endotracheal tube: Which symptom clusters are independently associated with health-related quality of life?

PURPOSE

The point of view of symptom clusters (SCs) may develop an efficient symptom management strategy to enhance health-related quality of life (HRQoL) in head and neck (HNC) patients with endotracheal tube (ETT). The study aims to investigate the possible SCs in HNC patients with ETT and determine whether there was an independent relationship between one or more SCs and HRQoL.

METHODS

A cross-sectional study design was adopted, and 203 HNC patients with ETT were recruited. They took measurements of General Information Questionnaire, MD Anderson Symptom Inventory-Head & Neck, and Twelve-Item Short-Form Health Survey (SF-12). Spearman correlations, partial correlations, and hierarchical cluster analysis were performed to determine latent number of SCs, and covariance analyses were used to determine independent associations between SCs and SF-12. This study followed STROBE Statement.

RESULTS

Pain SCs (pain, distressed, short of breath, and sadness), fatigue SCs (fatigue/weakness, restless, and sleepy), digestive SCs (appetite loss, constipation, and nausea), HNC-specific SCs (dry mouth and mucus), and tracheostomy-related SCs (difficulty swallowing and difficulty with voice and speech) were found. After adjusting covariant variables, this study found independent relationships of pain SCs and fatigue SCs with physical component summary of SF-12, and between fatigue SCs and mental component summary of SF-12.

CONCLUSIONS

Multiple SCs were found in those HNC patients. Pain SCs and fatigue SCs were independently associated with HRQoL. In process of caring HNC patients with ETT, it is vital to focus on SCs, especially on pain SCs and fatigue SCs, which might effectively improve patients' HRQoL.

Symptom Clusters' Content, Stability and Correlation with the Quality of Life in a Heterogeneous Group of Cancer Patients: A Large-Scale Longitudinal Study

Cancer-related symptoms can negatively affect the quality of life, hinder or delay treatment, and increase suffering. This study aimed to explore symptom clusters among Jordanian cancer patients. A longitudinal survey design was used. The sample consisted of 1280 cancer patients treated in three selected hospitals. Two-thirds of the participants were female (63.5%) with a mean age of 52.7 SD 13.8 years and 40.3% had breast cancer. Five clusters were identified, the first was the psychological cluster of eight symptoms; the second was the treatment side-effects cluster consisting of ten symptoms; the third was the nausea and vomiting cluster comprising four symptoms; the fourth was the pain cluster comprising four symptoms; and last was the fatigue cluster, with three symptoms. Cancer patients through the journey of cancer treatment have several symptoms that tend to occur in five clusters which are negatively correlated with their quality of life.

Identification of subgroups of chemotherapy patients with distinct sleep disturbance profiles and associated co-occurring symptoms

STUDY OBJECTIVES

Purposes of this study were to identify subgroups of patients with distinct sleep disturbance profiles and to evaluate for differences in demographic, clinical, and various sleep characteristics, as well for differences in the severity of co-occurring symptoms among these subgroups.

METHODS

Outpatients with breast, gynecological, gastrointestinal, or lung cancer (n = 1331) completed questionnaires six times over two chemotherapy cycles. Self-reported sleep disturbance was evaluated using the General Sleep Disturbance Scale (GSDS). Latent profile analysis was used to identify distinct subgroups.

RESULTS

Three latent classes with distinct sleep disturbance profiles were identified (Low [25.5%], High [50.8%], Very High [24.0%]) across the six assessments. Approximately 75% of the patients had a mean total GSDS score that was above the clinically meaningful cutoff score of at least 43 across all six assessments. Compared to the Low class, patients in High and Very High classes were significantly younger, had a lower functional status, had higher levels of comorbidity, and were more likely to be female, more likely to have childcare responsibilities, less likely to be employed, and less likely to have gastrointestinal cancer. For all of the GSDS subscale and total scores, significant differences among the latent classes followed the expected pattern (Low < High < Very High). For trait and state anxiety, depressive symptoms, morning and evening fatigue, decrements in attentional function, and decrements in morning and evening energy, significant differences among the latent classes followed the expected pattern (Low < High < Very High).

CONCLUSIONS

Clinicians need to perform in-depth assessments of sleep disturbance and co-occurring symptoms to identify high-risk patients and recommend appropriate interventions.

Symptom Map of Endocrine Therapy for Breast Cancer: A Scoping Review

BACKGROUND

Multiple symptoms associated with endocrine therapy have a detrimental impact on medication adherence and quality of life.

OBJECTIVE

The purpose of this scoping review is to map the symptoms during endocrine therapy for breast cancer to provide implications for current practice and suggestions for future research.

METHODS

The PubMed, CINAHL, and China Science Periodical Databases were searched to identify related studies published in English and Chinese languages. References of included articles were reviewed for additional eligible studies. Of the 2551 articles identified, 57 articles met inclusion criteria and were included in this scoping review.

RESULTS

Evidence for the 16 most studied symptoms and 15 most prevalent symptoms were synthesized. Five key symptoms associated with endocrine therapy were identified, including joint/muscle pain, hot flashes, low sexual interest/desire, joint/muscle stiffness, and fatigue/lack of energy. Rarely studied but highly prevalent symptoms and other gaps in the symptom science during endocrine therapy for breast cancer were identified.

CONCLUSION

Nurses caring for women receiving endocrine therapy for breast cancer should assess the 5 key symptoms identified. There remain substantial gaps in the science related to the symptom experience during endocrine therapy for breast cancer. Future studies should focus on the domains of symptom intensity and distress, specific understudied symptoms, symptom clusters, and development of symptom assessment instruments specific to symptoms associated with endocrine therapy.

IMPLICATIONS FOR PRACTICE

This scoping review identified 5 well-studied and highly prevalent symptoms that should be assessed in women with breast cancer receiving endocrine therapy.

Impact of chemotherapy on symptoms and symptom clusters in postmenopausal women with breast cancer prior to aromatase inhibitor therapy

AIMS AND OBJECTIVES

To examine and compare the differences in symptoms and symptom clusters between postmenopausal women with early-stage breast cancer who did and did not receive chemotherapy prior to aromatase inhibitor (AI) therapy.

BACKGROUND

Women with breast cancer often experience multiple concurrent symptoms during AI therapy. The burden of symptoms prior to AI is associated with nonadherence to cancer treatment. To date, few studies have comprehensively explored the symptoms and symptom clusters occurring prior to AI therapy.

DESIGN

Secondary analysis of a prospective repeated-measures study.

METHODS

The sample comprised postmenopausal women (N = 339) with breast cancer who would receive AI therapy with or without chemotherapy. We collected information on 48 symptoms after surgery or chemotherapy but before AI therapy using different symptom assessment tools. Mann-Whitney U tests were used to compare the differences in the severity of symptoms between groups. Exploratory factor analysis (EFA) was conducted to determine symptom clusters. This study followed STROBE guidelines.

RESULTS

The most severe symptoms among women with breast cancer prior to AI therapy were breast sensitivity, unhappy with the appearance of my body, general aches and pain, joint pain and muscle stiffness. Women who received chemotherapy prior to AI therapy experienced significantly higher severity of 22 symptoms than women who did not receive chemotherapy. Through EFA seven distinct symptom clusters were revealed in both groups: cognitive, musculoskeletal, psychological, vasomotor, weight, sexual and urinary, with additional gastrointestinal symptom cluster been identified in women who received chemotherapy.

CONCLUSIONS

This study indicates the presence of symptoms among women with breast cancer prior to AI therapy, with higher severity of symptoms and greater number of symptom clusters for women who received chemotherapy.

RELEVANCE TO CLINICAL PRACTICE

Nurses should assess and be aware of symptoms and symptom clusters existed prior to AI therapy and manage them in advance.

Use of Cluster Analysis to Delineate Symptom Profiles in an Ehlers-Danlos Syndrome Patient Population

CONTEXT

The Ehlers-Danlos Syndromes (EDSs) are a set of rare heritable disorders of connective tissue, characterized by defects in the structure and synthesis of extracellular matrix elements that lead to a myriad of problems including joint hypermobility and skin abnormalities. Because EDS affects multiple organ systems, defining clear boundaries and recognizing overlapping clinical features shared by disease phenotypes is challenging.

OBJECTIVES

The objective of this study was to seek evidence of phenotypic subgroups of patients with distinctive symptom profiles and describe these resulting subgroups.

METHODS

Data were extracted from a repository assembled 2001-2013 by the National Institute on Aging Intramural Research Program. Agglomerative hierarchical clustering was used to form distinct subgroups of patients with respect to the domains of pain, physical and mental fatigue, daytime sleepiness, and nighttime sleep. Domains were selected based on literature review, clinician expertise, and guidance from patient advisors.

RESULTS

One hundred seventy-five patients met all inclusion criteria. Three subgroups were identified. The Pain Dominant subgroup (39 patients) had the highest mean pain values, but lowest mean values of other symptoms. The High Symptom Burden subgroup (71 patients) had high mean values in all domains. The Mental Fatigue subgroup (65 patients) had a high mean value for mental fatigue and daytime sleepiness, but a lower mean value for pain.

CONCLUSION

The subgroups aligned with clinical observation of the heterogeneous nature of EDS, with overlapping symptoms between subtypes and a wide divergence in degree of symptoms within subtypes. This exploratory study helps characterize the various phenotypes and comorbidities of patients with EDS.

Symptom response analysis of a randomized controlled trial of reflexology for symptom management among women with advanced breast cancer

PURPOSE

To examine symptom responses resulting from a home-based reflexology intervention delivered by a friend/family caregivers to women with advanced breast cancer undergoing chemotherapy, targeted, and/or hormonal therapy.

METHODS

Patient-caregiver dyads (N = 256) were randomized to 4 weekly reflexology sessions or attention control. Caregivers in the intervention group were trained by a reflexology practitioner in a 30-min protocol. During the 4 weeks, both groups completed telephone symptom assessments using the M. D. Anderson Symptom Inventory. Those who completed at least one weekly call were included in this secondary analysis (N = 209). Each symptom was categorized as mild, moderate, or severe using established interference-based cut-points. Symptom response meant an improvement by at least one category or remaining mild. Symptom responses were treated as multiple events within patients and analyzed using generalized estimating equations technique.

RESULTS

Reflexology was more successful than attention control in producing responses for pain (OR = 1.84, 95% CI (1.05, 3.23), p = 0.03), with no significant differences for other symptoms. In the reflexology group, greater probability of response across all symptoms was associated with lower number of comorbid condition and lower depressive symptomatology at baseline. Compared to odds of responses on pain (chosen as a referent symptom), greater odds of symptom response were found for disturbed sleep and difficulty remembering with older aged participants.

CONCLUSIONS

Home-based caregiver-delivered reflexology was helpful in decreasing patient-reported pain. Age, comorbid conditions, and depression are potentially important tailoring factors for future research and can be used to identify patients who may benefit from reflexology.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01582971.

Stability of Symptom Clusters in Patients With Lung Cancer Receiving Chemotherapy

CONTEXT

Patients with lung cancer who undergo chemotherapy (CTX) experience multiple symptoms. Evaluation of how these symptoms cluster together and how these symptom clusters change over time are salient questions in symptom clusters research.

OBJECTIVES

The purposes of this analysis, in a sample of patients with lung cancer (n = 145) who were receiving CTX, were to 1) evaluate for differences in the number and types of symptom clusters at three time points (i.e., before their next cycle of CTX, the week after CTX, and two weeks after CTX) using ratings of symptom occurrence and severity and 2) evaluate for changes in these symptom clusters over time.

METHODS

At each assessment, a modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence and severity of 38 symptoms. Exploratory factor analyses were used to extract the symptom clusters.

RESULTS

Across the two symptom dimensions (i.e., occurrence and severity) and the three assessments, six distinct symptom clusters were identified; however, only three of these clusters (i.e., lung cancer specific, psychological, nutritional) were relatively stable across both dimensions and across time. Two additional clusters varied by time but not by symptom dimension (i.e., epithelial/gastrointestinal and epithelial). A sickness behavior cluster was identified at each assessment with the exception of the week before CTX using only the severity dimension.

CONCLUSION

Findings provide insights into the most common symptom clusters in patients with lung cancer undergoing CTX. Most common symptoms within each cluster appear to be relatively stable across the two dimensions, as well as across time.