Symptom Clusters in Women With Breast Cancer During the First 18 Months of Adjuvant Therapy

Role function in postmenopausal women during aromatase inhibitor therapy for breast cancer

OBJECTIVE

Few studies have examined aromatase inhibitor therapy relating to role function in breast cancer survivors of working age. Our study sought to identify how pre-therapy sociodemographic and health/treatment-related characteristics, as well as patient-reported symptoms measured every six-months, influence role function during 18 months of AI therapy for early-stage breast cancer.

METHODS

We performed a secondary analysis of longitudinal study data using linear mixed-effects modeling to examine role physical (RP) and role emotional (RE) functioning measured with the Medical Outcome Study Short Form 36 v2. The sample of postmenopausal women (N = 351) consisted of three cohorts: chemotherapy followed by anastrozole (CFAI), anastrozole only (AI only), and non-cancer controls. Our choice of variables and interpretation of findings was theoretically based on the Cancer Survivorship and Work Model. Stepwise backward deletion determined which predictors to include in the final model, accounting for treatment group.

RESULTS

Both treatment groups were associated with greater limitations in RP functioning than controls. CFAI had twice the impact on RP compared to AI only. While the RP model displayed significant predictors across sociodemographic, health/treatment, and symptom characteristics, only symptoms were associated with greater limitations in RE functioning. Findings were significant at p < .05.

CONCLUSION

Transitioning from acute to extended survivorship is a critical juncture in which multiple factors place breast cancer survivors at risk of diminished role function.

IMPLICATIONS FOR CANCER SURVIVORS

Early interventions to address role function limitations during systemic treatment may lead to better work outcomes and improve the quality of long-term survivorship.

Symptom Clusters in Breast Cancer Patients Receiving Adjuvant Chemotherapy: A Systematic Review

BACKGROUND

Breast cancer patients experience various adverse symptoms during adjuvant chemotherapy. These adverse symptoms often form symptom clusters and have a negative impact on patients.

AIMS

To summarise common symptom clusters in different dimensions and their longitudinal changes among breast cancer patients receiving adjuvant chemotherapy.

DESIGN

A systematic review.

DATA SOURCES

Ten electronic databases were searched from 2001 to January 2024, and the search was last updated on 16 August 2024.

METHODS

Two reviewers independently assessed the eligibility of each study and extracted data. The Standard Quality Assessment Criteria for Evaluating Primary Research Papers was used to evaluate the quality of included studies. The findings were synthesised narratively. This systematic review has been registered (CRD42022370210).

RESULTS

Nine studies with a total of 1454 participants were included. The common symptom clusters in breast cancer patients receiving adjuvant chemotherapy were the gastrointestinal symptom cluster (nausea-lack of appetite), the fatigue-pain-sleep disturbance symptom cluster and the psychological symptom cluster (worry-sadness-nervousness-distress-feeling irritable-difficult concentrating). The severity dimension was the most frequently utilised in identifying symptom clusters, with the number and concurrence of symptom clusters showing variation over time.

CONCLUSIONS

This study summarised common symptom clusters in breast cancer patients receiving adjuvant chemotherapy and revealed their changes from symptom dimensions and the chemotherapy process. These findings support further exploration of symptom cluster changes and underlying mechanisms, facilitating the design of targeted management strategies, including appropriate interventions and measurement dimensions in clinical nursing, to ultimately reduce patients' symptom burden.

IMPACT

Common symptom clusters have been identified in breast cancer patients receiving adjuvant chemotherapy. Clinical nursing in oncology can prioritise these symptom clusters and provide patients with targeted management strategies.

REPORTING METHODS

PRISMA guidelines and SWiM guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Symptom clusters and nutritional status in primary liver cancer patients receiving transcatheter arterial chemoembolization

Introduction

Introduction: symptom clusters (SCs) are highly prevalent among patients diagnosed with primary liver cancer. Malnutrition poses a heightened risk for a more pronounced total symptom cluster score. Objective: this study aimed to identify SCs and assess the nutritional status of patients undergoing transcatheter arterial chemoembolization (TACE). Furthermore, it aimed to investigate the association between nutritional status and symptom clusters. Methods: primary liver cancer patients who were scheduled to receive TACE were recruited. Symptoms data were collected using the MD Anderson Symptom Inventory (MDASI-C) and the Symptom Module specific to Primary Cancer (TSM-PLC). Nutritional assessment relied on the Nutritional Risk Screening-2002 (NRS-2002) and blood biochemistry. The SCs were extracted using exploratory factor analysis, while the relationship between SCs and nutritional status was evaluated using Spearman correlation analysis. Results: the study included 226 patients, four distinct symptom clusters emerged: emotional-psychological symptom cluster, upper gastrointestinal symptom cluster, post-embolization-related symptom cluster, and liver function impairment symptom cluster. 68.14 % of patients were found to be at high risk of malnutrition. Our study revealed significant differences in Scs scores between patients at risk of malnutrition and those without such risk (p < 0.050). Notably, we observed a positive correlation between NRS-2002 scores and the scores of all symptom clusters (r = 0.205 to 0.419, p < 0.001), while a negative correlation was observed between prealbumin levels and the scores of all symptom clusters (r = -0.183 to -0.454, p < 0.001). Conclusion: the study highlights the high risk of malnutrition among liver cancer patients receiving TACE and the positive correlation between high malnutrition risk and Scs scores.

Symptom Clusters and Their Impact on Spiritual Well-Being Among Women with Breast Cancer

Purpose

To explore symptom experience and symptom clusters among Jordanian women with breast cancer and investigate whether these clusters predict patients' spiritual well-being.

Patients and Methods

A sample of 142 Jordanian women with breast cancer were asked to complete the Memorial Symptom Assessment Scale (MSAS), Functional Assessment of Chronic Illness Therapy- Spiritual Well-being (FACIT-Sp) scale, and socio-demographic questionnaire. Exploratory factor analysis was used to group symptoms into clusters, and multiple linear regression was used to explore the symptom clusters that predict spiritual well-being.

Results

The most prevalent symptoms among women with breast cancer were fatigue, anxiety, tension, and pain. All these symptoms have a prevalence greater than 50%. Three clusters were found: treatment-related symptom cluster consisting of eight symptoms, gastrointestinal symptom cluster consisting of seven symptoms, and psychological symptom cluster consisting of five symptoms. The psychological symptom cluster was the only cluster predicting the women's spiritual well-being (t (141) = -3.049; p < 0.01).

Conclusion

Women with breast cancer experience several concurrent symptoms and symptom clusters. Screening for psychological symptom clusters and their treatment improves patients' spiritual well-being. The majority of women with breast cancer did not receive any complementary therapies and hardly any spiritual or psychological support, which should be provided in the future to support their spiritual well-being.

Sentinel and networked symptoms in patients with breast cancer undergoing chemotherapy

PURPOSE

It was designed to identify the symptom clusters and sentinel symptoms among patients with breast cancer receiving chemotherapy at the community level, and to explore core and bridge symptoms at the global level.

METHODS

A cross-sectional survey was conducted using the MD Anderson Symptom Inventory. Patients with breast cancer receiving chemotherapy, recruited from the "Be Resilient to Breast Cancer" project between January 2023 and December 2023, were included in the study. Symptom clusters and their sentinel symptoms were identified using exploratory factor analysis and Apriori algorithm. Core and bridge symptoms were identified using network analysis.

RESULTS

A total of 468 patients with breast cancer participated in the current study. At the community level, three symptom clusters and their corresponding sentinel symptoms were identified: a gastrointestinal symptom cluster (with nausea as the sentinel symptom), a psycho-sleep-related symptom cluster (with distress as the sentinel symptom), and a neurocognition symptom cluster (with dry mouth as the sentinel symptom). At the global level, fatigue emerged as the core symptom, while disturbed sleep and lack of appetite as bridge symptoms.

CONCLUSION

Addressing nausea, distress, and dry mouth are imperative for alleviating specific symptom clusters at the community level. Furthermore, targeting fatigue, disturbed sleep, and lack of appetite are crucial to break the interactions among diverse symptoms at the global level.

Symptom clusters in oncology outpatients: stability and consistency across a cycle of chemotherapy

OBJECTIVES

Improved understanding of the stability and consistency of symptom clusters across time, symptom dimensions and cancer diagnoses will lead to refinements in symptom assessments and management, and provide direction for mechanistic studies. Study purposes were to describe the occurrence, severity and distress of 38 symptoms; evaluate the stability and consistency of symptom clusters across a cycle of chemotherapy, three symptom dimensions and four distinct cancer types; and identify common and distinct symptom clusters.

METHODS

Oncology outpatients (n=1329) completed the Memorial Symptom Assessment Scale prior to their next cycle of chemotherapy (T1), 1 week after chemotherapy (T2) and 2 weeks after chemotherapy (T3). Symptom clusters were identified using exploratory factor analysis using unweighted least squares. GEOMIN rotated factor loadings with absolute values ≥0.40 were considered meaningful. Clusters were stable if they were identified across each time point and/or dimension. Clusters were consistent if the same two or three symptoms with the highest factor loadings were identified across each time point and/or dimension.

RESULTS

Patients reported 13.9 (±7.2) symptoms at T1, 14.0 (±7.0) at T2 and 12.2 (±6.8) at T3. Psychological, weight gain, gastrointestinal and respiratory clusters were stable across time and dimensions. Only the psychological, weight gain and respiratory clusters were consistent across time and dimensions.

CONCLUSION

Given the stability of the psychological, weight gain and gastrointestinal clusters across cancer diagnoses, symptoms within these clusters need to be routinely assessed. However, respiratory and hormonal clusters are unique to specific cancer types and the symptoms within these clusters are variable.

Multiple myeloma patients undergoing chemotherapy: Which symptom clusters impact quality of life?

AIMS AND OBJECTIVES

To identify symptom clusters and examine their association with health-related quality of life.

BACKGROUND

Multiple myeloma patients undergoing chemotherapy suffer from disease symptoms and adverse effects during the course of the disease. However, single symptom management has little effect, and symptom management for these patients remains challenging. Symptom clusters open a new perspective and provide important clues for symptom management.

DESIGN

A cross-sectional study.

METHOD

Participants were invited to complete the Chinese version of the Memorial Symptom Assessment Scale and Quality of Life Questionnaire-core 30. Appropriate indicators were used for descriptive statistics. Principal component analysis was used to identify symptom clusters. Associations between symptom clusters and quality of life were examined with Pearson correlation coefficients, Pearson correlation matrix and multiple linear regression. This study was reported following the STROBE checklist.

RESULTS

A total of 177 participants were recruited from seven hospitals in this study. We identified self-image disorder, psychological, gastrointestinal, neurological, somatic and pain symptom clusters in multiple myeloma patients with chemotherapy. Approximately 97.65% of patients suffer from multiple symptom clusters. The pain, psychological and gastrointestinal symptom clusters have negatively influence on health-related quality of life. The strongest association was found with the pain symptom cluster.

CONCLUSION

Most of multiple myeloma patients suffer from multiple symptom clusters. When improving the multiple myeloma patients' health-related quality of life, the clinical staff should prioritise relieving the pain symptom cluster.

RELEVANCE TO CLINICAL PRACTICE

When multiple myeloma patients undergoing chemotherapy suffer from multiple symptom clusters, nurses should prioritise relieving the pain symptom cluster to improve their health-related quality of life. When drawing up and providing interventions, nurses should focus on the correlation among symptoms rather than single symptom. By relieving one symptom in a given cluster, other symptoms within the same symptom cluster may also be relieved.

Impact of symptom burden and self-efficacy on functional status in advanced breast cancer patients: A path analysis

This correlational study aims at exploring the correlations between symptom burden, functional status, and self-efficacy in advanced breast cancer patients and to analyze their paths of influence. The study was performed with 122 patients with advanced breast cancer receiving outpatient chemotherapy between April 10, 2021 and April 29, 2022. Data were collected using a sociodemographic information form, the MD Anderson Symptom Inventory, the Functional Living Index-Cancer, and the Symptom Management Self-Efficacy Scale for Breast Cancer Related to Chemotherapy. Kruskal-Wallis, Mann-Whitney U, and Spearman correlation tests and path analysis were used for data evaluation. Less-educated individuals had a higher symptom burden and poorer self-efficacy. Low-income level was related to poor self-efficacy. Symptom severity did not directly influence functional status but affected it indirectly through self-efficacy, while symptom interference and self-efficacy had a direct impact on functional status. This study mainly concludes that symptom burden and self-efficacy affect functional status in advanced breast cancer patients receiving chemotherapy. Self-efficacy-enhancing interventions may be helpful strategies for symptom relief and improvement in functional status in this population.

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.

Prevalence of Psychoneurological Symptoms and Symptom Clusters in Women with Breast Cancer Undergoing Treatment: Influence on Quality of Life

OBJECTIVES

To identify subgroups of psychoneurological symptoms (PNS) and their relationship to different clinical variables in a sample of women with breast cáncer (BC) with different type of treatment, and the possible influence of these on quality of life (QoL), using a factorial principal components analysis.

DATA SOURCES

Observational, cross-sectional, non-probability study (2017-2021) at Badajoz University Hospital (Spain). A total of 239 women with BC receiving treatment were included.

RESULTS

68% of women presented fatigue, 30% depressive symptoms, 37.5% anxiety, 45% insomnia, and 36% cognitive impairment. The average score obtained for pain was 28.9. All the symptoms were related between themselves, and within the cluster of PNS. The factorial analysis showed three subgroups of symptoms, which accounted for 73% of variance: state and trait anxiety (PNS-1), cognitive impairment, pain and fatigue (PNS-2), and sleep disorders (PNS-3). The depressive symptoms were explained equally by PNS-1 and PNS-2. Additionally, two dimensions of QoL were found (functional-physical and cognitive-emotional. These dimensions correlated with the three PNS subgroups found. A relationship was found between chemotherapy treatment and PNS-3, and its negative impact on QoL.

CONCLUSIONS

A specific pattern of grouped symptoms in a psychoneurological cluster with different underlying dimensions has been identified which negatively influences QoL of survivors of BC.

IMPLICATION FOR NURSING PRACTICE

It is important to raise awareness among professionals and patients about the existence of a cluster of PNS, the patient's profile, as well as the factors that exacerbate them. This will allow them to be treated more effectively and comprehensively.

Symptom Clusters and Quality of Life in Patients With Breast Cancer Receiving Endocrine Therapy in China

OBJECTIVES

Breast cancer patients undergoing endocrine therapy experience various symptoms that have long-term effects on their quality of life. However, which symptom clusters are expressed and affect patients' quality of life remain significantly controversial. Therefore, we aimed to explore symptom clusters among breast cancer patients receiving endocrine therapy and identify the impact of these clusters on their quality of life.

DATA SOURCES

This secondary analysis of data from a cross-sectional study aimed to explore the symptom experiences and quality of life of breast cancer patients receiving endocrine therapy. The participants were invited to complete the Functional Assessment of Cancer Therapy-Breast (FACT-B) and Endocrine Subscale (ES). Principal component analysis, Spearman correlation analyses, and multiple linear regression were used to explore symptom clusters and identify their influence on quality of life.

CONCLUSION

Data from 613 participants were obtained, and 19 symptoms were included in the principal component analysis, which identified five symptom clusters: the systemic, pain and emotional, sexual, vaginal, and vasomotor symptom clusters. Adjustment for covariates revealed that the systemic and pain and emotional symptom clusters were negative predictors of quality of life. The fitted model explained approximately 38.1% of the variance.

IMPLICATIONS FOR NURSING PRACTICE

This study demonstrated that breast cancer patients receiving endocrine therapy experienced symptoms that tended to occur in five clusters (i.e., systemic, pain and emotional, sexual, vaginal, and vasomotor symptoms). Developing interventions for the systemic and pain and emotional symptom clusters may effectively improve patients' quality of life.

Contemporaneous symptom networks and correlates during endocrine therapy among breast cancer patients: A network analysis

Background

Endocrine therapy-related symptoms are associated with early discontinuation and quality of life among breast cancer survivors. Although previous studies have examined these symptoms and clinical covariates, little is known about the interactions among different symptoms and correlates. This study aimed to explore the complex relationship of endocrine therapy-related symptoms and to identify the core symptoms among breast cancer patients.

Methods

This is a secondary data analysis conducted based on a multicenter cross-sectional study of 613 breast cancer patients in China. All participants completed the 19-item Chinese version of the Functional Assessment of Cancer Therapy-Endocrine Subscale (FACT-ES). Multivariate linear regression analysis was performed to identify significant factors. A contemporaneous network with 15 frequently occurring symptoms was constructed after controlling for age, payment, use of aromatase inhibitors, and history of surgery. Network comparison tests were used to assess differences in network structure across demographic and treatment characteristics.

Results

All 613 participants were female, with an average age of 49 years (SD = 9.4). The average duration of endocrine therapy was 3.6 years (SD = 2.3) and the average symptom score was 18.99 (SD = 11.43). Irritability (n = 512, 83.52%) and mood swings (n = 498, 81.24%) were the most prevalent symptoms. Lost interest in sex (mean = 1.95, SD = 1.39) and joint pain (mean = 1.57, SD = 1.18) were the most severe symptoms. The edges in the clusters of emotional symptoms ("irritability-mood swings"), vasomotor symptoms ("hot flashes-cold sweats-night sweats"), vaginal symptoms ("vaginal discharge-vaginal itching"), sexual symptoms ("pain or discomfort with intercourse-lost interest in sex-vaginal dryness"), and neurological symptoms ("headaches-dizziness") were the thickest in the network. There were no significant differences in network structure (P = 0.088), and global strength (P = 0.330) across treatment types (selective estrogen receptor modulators vs. aromatase inhibitors). Based on an evaluation of the centrality indices, irritability and mood swings appeared to be structurally important nodes after adjusting for the clinical covariates and after performing subgroup comparisons.

Conclusion

Endocrine therapy-related symptoms are frequently reported issues among breast cancer patients. Our findings demonstrated that developing targeted interventions focused on emotional symptoms may relieve the overall symptom burden for breast cancer patients during endocrine therapy.

Menopausal symptoms in breast cancer patients receiving adjuvant endocrine therapy and their relationships with health-promoting behaviors and social support

OBJECTIVE

To investigate the prevalence and severity of menopausal symptoms in patients with breast cancer undergoing adjuvant endocrine therapy and explore the relationships of these symptoms with health-promoting behaviors and social support.

METHODS

This cross-sectional study investigated 226 participants from December 2020 to December 2021 in China. Data were collected using the sociodemographic information questionnaire, Menopause Rating Scale, the Health-Promoting Lifestyle Profile II, and Perceived Social Support Survey. Multivariate step regression was used to analyze the potential factors of menopausal symptoms.

RESULTS

In our sample of 226 patients, 92.9% reported at least one menopausal symptom with a mean score of 13 points (interquartile range, 9-18 points). The highest prevalence of most symptoms included hot flashes/night sweats, fatigue, joint and muscular discomfort, irritability, and sleep problems. In the regression models, health responsibility ( β = -0.15, P = 0.03), spiritual growth ( β = -0.28, P < 0.01), friend support ( β = -0.43, P < 0.01), and other support ( β = -0.31, P = 0.01) were negatively associated with menopausal symptoms.

CONCLUSIONS

The prevalence and severity of menopausal symptoms are high in breast cancer patients undergoing adjuvant endocrine therapy. Higher health-promoting behaviors and social support are associated with fewer menopausal symptoms. The findings highlight the clinical implications in terms of developing appropriate strategies for managing menopausal symptoms.

Experience of living with symptom clusters in postoperative pancreatic cancer patients

OBJECTIVE

The purpose of this study was to describe symptom clusters (SCs), and symptom experiences in early postoperative patients with pancreatic cancer who are recovering at home.

METHODS

From October 2021 and April 2022,15 patients following pancreatic cancer surgery were recruited from a tertiary hospital in Jiangsu Province by maximum variation sampling. Semi-structured interviews were performed to collect data and thematic analysis was conducted to analyze the data.

RESULTS

Three themes were extracted from the data. The first theme "difference in symptom perception and cognition" illustrated factors such as patient knowledge, expected recovery status, and risk perception could influence patient symptom experience. Most patients actually reported fewer and less severe symptoms than previous studies. The second theme "the results of symptom cluster" demonstrated anorexia-distress SC, bowel-digestive related SC and sleep disturbance related SC, and anorexia-distress SC should be considered as the priority SC given its multidimensional significance for patients. The last theme described the patient's positive attitudes, behaviours and barriers to coping with symptoms, namely "symptom self-management experience".

CONCLUSION

There are differences in the perception and interpretation of SCs in postoperative pancreatic cancer patients. Understanding the meaning of individual differences in the experience of symptoms can assist patients in the management of SCs. Medical staff should combine patient self-management strategies and evidence-based data to provide appropriate support at different stages to improve patient symptom management and quality of life.

Predictors of Unrelieved Symptoms in All of Us Research Program Participants With Chronic Conditions

CONTEXT

Over half of American adults are diagnosed with a chronic condition, with an increasing prevalence being diagnosed with multiple chronic conditions. These adults are at higher risk for having unrelieved, co-occurring symptoms, known as symptom clusters.

OBJECTIVES

To identify symptom phenotypes of patients diagnosed with four common chronic conditions, specifically, cancer, chronic obstructive pulmonary disease, heart failure, and/or type 2 diabetes mellitus, and to understand factors that predict membership in symptomatic phenotypes.

METHODS

We conducted a retrospective, cross-sectional analysis using participant responses (N=14,127) to All of Us Research Program, a National Institutes of Health biomedical database, survey questions. We performed hierarchical clustering to generate symptom phenotypes of fatigue, emotional distress, and pain and used multinomial regression to determine if demographic, healthcare access and utilization, and health-related variables predict symptom phenotype.

RESULTS

Four phenotypes, one asymptomatic or mildly symptomatic and three highly symptomatic (characterized by severe symptoms, severe pain, and severe emotional distress), were identified. The percentage of participants belonging to the severe symptoms phenotype increased with the number of chronic conditions. Most notably, foregoing or delaying medical care and rating mental health as poor or fair increased the odds of belonging to a highly symptomatic phenotype.

CONCLUSION

We found meaningful relationships between demographic, healthcare access and utilization, and health-related factors and symptom phenotypes. With the increasing trends of American adults with one or more chronic conditions and a demand to individualize care in the precision health era, it is critical to understand the factors that lead to unrelieved symptoms.

Trajectories of neuropsychological symptom burden in postmenopausal women prescribed anastrozole for early-stage breast cancer

PURPOSE

Aromatase inhibitors (AIs) prolong survival for postmenopausal women with hormone receptor-positive breast cancer (HR + BC) but also burden patients with symptoms, a major reason for suboptimal AI adherence. This study characterizes inter-relationships among symptom measures; describes neuropsychological symptom burden trajectories; and identifies trajectory group membership predictors for postmenopausal women prescribed anastrozole for HR + BC.

METHODS

This study utilized prospectively collected data from a cohort study. Relationships among various self-reported symptom measures were examined followed by a factor analysis to reduce data redundancy before trajectory analysis. Four neuropsychological scales/subscales were rescaled (range 0-100) and averaged into a neuropsychological symptom burden (NSB) score, where higher scores indicated greater symptom burden. Group-based trajectory modeling characterized NSB trajectories. Trajectory group membership predictors were identified using multinomial logistic regression.

RESULTS

Women (N = 360) averaged 61 years old, were mostly White, and diagnosed with stage I HR + BC. Several measures were correlated temporally but four neuropsychological measures had strong correlations and dimensional loadings. These four measures, combined for the composite NSB, averaged (mean ± standard deviation) 17.4 ± 12.9, 18.0 ± 12.7, 19.5 ± 12.8, and 19.8 ± 13.0 at pre-anastrozole, 6, 12, and 18 months post-initiation, respectively. However, the analysis revealed five NSB trajectories-low-stable, low-increasing, moderate-stable, high-stable, and high-increasing. Younger age and baseline medication categories (pre-anastrozole), including anti-depressants, analgesics, anti-anxiety, and no calcium/vitamin D, predicted the higher NSB trajectories.

CONCLUSION

This study found relationships among neuropsychological symptom measures and distinct trajectories of self-reported NSB with pre-anastrozole predictors. Identifying symptom trajectories and their predictors at pre-anastrozole may inform supportive care strategies via symptom management interventions to optimize adherence for women with HR + BC.

Symptom clusters in outpatients with cancer using different dimensions of the symptom experience

PURPOSE

Relatively few studies have evaluated for symptom clusters across multiple dimensions. It is unknown whether the symptom dimension used to create symptom clusters influences the number and types of clusters that are identified. Study purposes were to describe ratings of occurrence, severity, and distress for 38 symptoms in a heterogeneous sample of oncology patients (n = 1329) undergoing chemotherapy; identify and compare the number and types of symptom clusters based on three dimensions (i.e., occurrence, severity, and distress); and identify common and distinct clusters.

METHODS

A modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress ratings of 38 symptoms in the week prior to patients' next cycle of chemotherapy. Symptom clusters for each dimension were identified using exploratory factor analysis.

RESULTS

Patients reported an average of 13.9 (±7.2) concurrent symptoms. Lack of energy was both the most common and severe symptom while "I don't look like myself" was the most distressing. Psychological, gastrointestinal, weight gain, respiratory, and hormonal clusters were identified across all three dimensions. Findings suggest that psychological, gastrointestinal, and weight gain clusters are common while respiratory and hormonal clusters are distinct.

CONCLUSIONS

Psychological, gastrointestinal, weight gain, hormonal, and respiratory clusters are stable across occurrence, severity, and distress in oncology patients receiving chemotherapy. Given the stability of these clusters and the consistency of the symptoms across dimensions, the use of a single dimension to identify these clusters may be sufficient. However, comprehensive and disease-specific inventories need to be used to identify distinct clusters.

Symptom clusters and quality of life in ambulatory patients with multiple myeloma

PURPOSE

The aim of this study was to investigate symptom clusters and associated clinical factors in ambulatory multiple myeloma patients undergoing medication therapy. We also aimed to determine the correlations between symptom clusters and patient quality of life.

METHODS

A total of 174 multiple myeloma patients hospitalized in the haematology day unit were included in this study. A cross-sectional survey was conducted to examine symptoms and quality of life. Symptoms were assessed by the Chinese version of the Condensed Memorial Symptom Assessment Scale. Quality of life was measured with the Functional Assessment of Cancer Therapy-General. Principal component analysis was used to identify symptom clusters. Independent-samples t tests and chi-square tests were used for comparisons between groups. Spearman's rank correlation analysis was used to identify correlations.

RESULTS

We identified three symptom clusters in multiple myeloma patients: psychological; pain, dry mouth, and difficulty sleeping; and fatigue symptom cluster. For each symptom cluster, the patients could be categorized into a severe-symptom group or a mild-symptom group based on the distress of symptoms. The patients in each group exhibited differential demographic and clinical features. Symptom cluster distress was adversely correlated with patients' quality of life.

CONCLUSIONS

Ambulatory multiple myeloma patients undergoing anticancer medication therapy experience multiple symptoms, which can be categorized into three symptom clusters. For each symptom cluster, level of distress was associated with patients' demographic and clinical characteristics. The presence and level of distress of these symptom clusters have adverse impacts on patients' quality of life.

Chemotherapy-Related Cognitive Impairment in Patients with Breast Cancer Based on Functional Assessment and NIRS Analysis

Background: Chemotherapy-related cognitive impairment (CRCI), or “chemobrain,” isdefined as a phenomenon of cognitive deficits in cancer patients after chemotherapy and is characterized by deficits in areas of cognition, including memory, attention, speed of processing, and executive function, which seriously affect quality of life. The purpose of this study is to investigate the impact of CRCI in breast cancer (BC) patients in chemotherapy treatment (CT+) or not (CT−) and to analyze their relationship with detectable objective changes in cerebral activity during the execution of a phonological and semantic verbal fluency task (PVF and SVF). Methods: An observational, cross-sectional study was carried out at Badajoz University Hospital (Spain). A total of 180 women with BC were included. We used Cognitive Scale (FACT-Cog) for neuropsychological subjective assessment, obtaining scores of perceived cognitive impairment (PCI), and near-infrared spectroscopy system (NIRS) for neuropsychological objective assessment during a verbal fluency task (PVF and SVF), determining alterations in the prefrontal cortex (PFC) assessed as changes in regional saturation index (rSO2). Results: A total of 41.7% percent of the patients in the sample had PCI. CT+ was significantly associated with a worse impact in PCI (X¯ = 50.60 ± 15.64 vs. X¯ = 55.01 ± 12.10; p = 0.005). Average rSO2 decreased significantly in CT+ (X¯ = 63.30 ± 8.02 vs. X¯ = 67.98 ± 7.80; p < 0.001), and BC patients showed a significant decrease in PVF and SVF on average (X¯ = 41.99 ± 9.52 vs. X¯ = 47.03 ± 9.31, and X¯ = 33.43 ± 11.0 vs. X¯ = 36.14 ± 10.68, respectively; p < 0.001). Conclusions: Our findings suggest that cognitive impairments in the domain of executive functioning exist among patients with BC who received CT. The results corroborate the hypothesis that CT is an important factor in cognitive impairment in patients with BC, which has been demonstrated by both subjective (PCI) and objective (PVF, SVF, and rSO2) neuropsychological measures. The combination of doxorubicin, cyclophosphamide, and docetaxel induce cognitive impairment.

Factors Related to Anxiety, Depressive Symptoms and Quality of Life in Breast Cancer

Breast cancer (BC) is a major public health problem internationally. Although illness survival rates have improved, patients usually suffer multiple symptoms, both physical and psychological, which can affect their quality of life (QoL). The main aim of this study was to evaluate depressive symptoms, anxiety and the QoL of people with BC. An observational, cross-sectional study was carried out at Badajoz University Hospital (Spain). A total of 200 women with BC were included. EORTC QLQ-C30 and QLQ-BR23 questionnaires were used to assess QoL. Patients were screened for depressive symptoms using the Beck Depression Inventory (BDI) and for state anxiety and trait anxiety using the State Anxiety Inventory (STAI). Thirty-eight percent of the patients in the sample had moderate to severe anxiety, which was related to the time of diagnosis, advanced stage of illness and surgical treatment. We found that 28% of patients had depressive symptoms, related mainly with time of diagnosis, adjuvant therapy and number of cycles of chemotherapy (CT). Patients with the longest time since diagnosis, in stage III, and in treatment with CT, especially those with the greatest number of cycles, had the worst scores in QoL. We found a positive association between depressive symptoms and anxiety with QoL in patients with BC.

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.

Anticipating mental health needs after chemotherapy in early-stage breast cancer using patient-reported symptom screening

PURPOSE

Many patients with breast cancer experience depression and anxiety for years after completing systemic chemotherapy, which negatively impact overall symptom burden, quality of life, and treatment outcomes. The objective of this study was to examine the utility of patient-reported outcome (PRO) measures to predict mental health needs in patients with breast cancer during post-chemotherapy follow-up care.

METHODS

In a sample of women with non-metastatic breast cancer, associations between patient-reported depression and anxiety at end of chemotherapy and post-chemotherapy mental health needs were evaluated using log-binomial regression adjusted for functional status, social activity limitations, and time from chemotherapy.

RESULTS

In a sample of 149 women, 40% reported at least mild depressive symptoms and 52% reported at least mild anxiety at the end of chemotherapy. Over an average 3.2 years post-chemotherapy (range: 0.7-5.6 years), 23% received new psychiatric diagnoses, 21% engaged in mental health specialty care, and 62% were prescribed psychotropic medications. End of chemotherapy depression and anxiety were associated with future prescription of psychotropic medications (RR 1.52; 95% CI 1.14-2.03), as well as greater number of psychotropics. Associations were strongest with serotonin-norepinephrine reuptake inhibitors [(depression: RR 4.75; 95% CI 2.06-10.95); (anxiety: RR 3.68; 95% CI 1.62-8.36); (depression and anxiety: RR 2.98; 95% CI 1.65-5.36)].

CONCLUSION

Diagnosis of and treatment for depression and anxiety are common among women with breast cancer after completing chemotherapy. Prescriptions for psychotropic medications during the initial years after systemic chemotherapy can be anticipated by depression and anxiety screening at end of chemotherapy.

A Computational Framework to Analyze the Associations Between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data

Patients with cancer, such as breast and colorectal cancer, often experience different symptoms post-chemotherapy. The symptoms could be fatigue, gastrointestinal (nausea, vomiting, lack of appetite), psychoneurological symptoms (depressive symptoms, anxiety), or other types. Previous research focused on understanding the symptoms using survey data. In this research, we propose to utilize the data within the Electronic Health Record (EHR). A computational framework is developed to use a natural language processing (NLP) pipeline to extract the clinician-documented symptoms from clinical notes. Then, a patient clustering method is based on the symptom severity levels to group the patient in clusters. The association rule mining is used to analyze the associations between symptoms and patient attributes (smoking history, number of comorbidities, diabetes status, age at diagnosis) in the patient clusters. The results show that the various symptom types and severity levels have different associations between breast and colorectal cancers and different timeframes post-chemotherapy. The results also show that patients with breast or colorectal cancers, who smoke and have severe fatigue, likely have severe gastrointestinal symptoms six months after the chemotherapy. Our framework can be generalized to analyze symptoms or symptom clusters of other chronic diseases where symptom management is critical.

Depressive Symptoms and Quality of Life Associated With the Use of Monoclonal Antibodies in Breast Cancer Treatment

OBJECTIVES

To assess the relationship between (a) chemotherapy and monoclonal antibody (mAb) treatments and (b) depressive symptoms and quality of life (QOL) in patients with breast cancer.

SAMPLE & SETTING

182 women with breast cancer in Spain who were undergoing chemotherapy with or without mAbs.

METHODS & VARIABLES

An observational, cross-sectional study was carried out. The European Organisation for Research and Treatment of Cancer (EORTC) QOL Questionnaire-Core 30 and the EORTC QOL Questionnaire-Breast Cancer were used to assess QOL. Patients were screened for depressive symptoms using the Beck Depression Inventory-II.

RESULTS

No relationship was found between the use of mAbs with chemotherapy and QOL, except for incidence of diarrhea. However, depressive symptoms had a negative and highly significant influence on the majority of the QOL parameters.

IMPLICATIONS FOR NURSING

The presence of depressive symptoms negatively affects QOL. Used concurrently, mAbs and chemotherapy do not negatively influence QOL, but some adverse effects, such as diarrhea, are common.

Acupuncture Improves Multiple Treatment-Related Symptoms in Breast Cancer Survivors: A Systematic Review and Meta-Analysis

Introduction: Acupuncture has demonstrated effectiveness for symptom management among breast cancer survivors. This meta-analysis aims to evaluate the effect of acupuncture on treatment-related symptoms among breast cancer survivors. Methods: The authors searched PubMed, CINAHL, and EMBASE for relevant randomized clinical trials (RCTs) of acupuncture for managing treatment-related symptoms published in English through June 2021. They appraised the quality of each article using the Cochrane Collaboration Risk of Bias Criteria. The primary outcomes were pain, hot flashes, sleep disturbance, fatigue, depression, lymphedema, and neuropathy as individual symptoms. They also evaluated adverse events reported in acupuncture studies. Results: Of 26 selected trials (2055 patients), 20 (1709 patients) were included in the meta-analysis. Acupuncture was more effective than control groups in improving pain intensity [standardized mean difference (SMD) = -0.60, 95% confidence intervals (CI) -1.06 to -0.15], fatigue [SMD = -0.62, 95% CI -1.03 to -0.20], and hot flash severity [SMD = -0.52, 95% CI -0.82 to -0.22]. The subgroup analysis indicated that acupuncture showed trends but not significant effects on all the treatment-related symptoms compared with the sham acupuncture groups. Compared with waitlist control and usual care groups, the acupuncture groups showed significant reductions in pain intensity, fatigue, depression, hot flash severity, and neuropathy. No serious adverse events were reported related to acupuncture intervention. Mild adverse events (i.e., bruising, pain, swelling, skin infection, hematoma, headache, menstrual bleeding) were reported in 11 studies. Conclusion: This systematic review and meta-analysis suggest that acupuncture significantly reduces multiple treatment-related symptoms compared with the usual care or waitlist control group among breast cancer survivors. The safety of acupuncture was inadequately reported in the included studies. Based on the available data, acupuncture seems to be generally a safe treatment with some mild adverse events. These findings provide evidence-based recommendations for incorporating acupuncture into clinical breast cancer symptom management. Due to the high risk of bias and blinding issues in some RCTs, more rigorous trials are needed to confirm the efficacy of acupuncture in reducing multiple treatment-related symptoms among breast cancer survivors.

Symptom Clusters Predictive of Quality of Life Among Jordanian Women with Breast Cancer

OBJECTIVES

This study was conducted to explore symptom clusters among women with breast cancer in Jordan.

DATA SOURCES

A cross-sectional survey of 516 women with breast cancer who were recruited from three hospitals.

CONCLUSION

This study demonstrated that women with breast cancer experienced several symptoms at the same time. These symptoms tend to cluster in five main groups, and patients experiencing the psychological, nausea and vomiting, and pain clusters are expected to have a lower mean score of quality of life.

IMPLICATIONS FOR NURSING PRACTICE

Nurses need to assess and manage symptoms as clusters to improve the quality of life of women with breast cancer. Symptoms clusters should guide symptoms management practice and be given a priority equal to the active treatment of cancer. Symptoms management and cancer treatment should be started simultaneously.

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 Clusters and Functional Impairment in Individuals Treated for Lyme Borreliosis

Context: Persistent fatigue, pain, and neurocognitive impairment are common in individuals following treatment for Lyme borreliosis (LB). Poor sleep, depression, visual disturbance, and sensory neuropathies have also been reported. The cause of these symptoms is unclear, and widely accepted effective treatment strategies are lacking.

Objectives: To identify symptom clusters in people with persistent symptoms previously treated for LB and to examine the relationship between symptom severity and perceived disability.

Methods: This was a retrospective chart review of individuals with a history of treatment of LB referred to The Dean Center for Tick-Borne Illness at Spaulding Rehabilitation Hospital between 2015 and 2018 (n = 270) because of persistent symptoms. Symptoms and functional impairment were collected using the General Symptom Questionnaire-30 (GSQ-30), and the Sheehan Disability Scale. Clinical tests were conducted to evaluate for tick-borne co-infections and to rule out medical disorders that could mimic LB symptomatology. Exploratory factor analysis was performed to identify symptom clusters.

Results: Five symptom clusters were identified. Each cluster was assigned a name to reflect the possible underlying etiology and was based on the majority of the symptoms in the cluster: the neuropathy symptom cluster, sleep-fatigue symptom cluster, migraine symptom cluster, cognitive symptom cluster, and mood symptom cluster. Symptom severity for each symptom cluster was positively associated with global functional impairment (p < 0.001).

Conclusion: Identifying the interrelationship between symptoms in post-treatment LB in a cluster can aid in the identification of the etiological basis of these symptoms and could lead to more effective symptom management strategies.

Key Message: This article describes symptom clusters in individuals with a history of Lyme borreliosis. Five clusters were identified: sleep-fatigue, neuropathy, migraine-like, cognition, and mood clusters. Identifying the interrelationship between symptoms in each of the identified clusters could aid in more effective symptom management through identifying triggering symptoms or an underlying etiology.

Genes Involved in the HPA Axis and the Symptom Cluster of Fatigue, Depressive Symptoms, and Anxiety in Women With Breast Cancer During 18 Months of Adjuvant Therapy

This study aimed to (1) identify subgroups of women with breast cancer with the psychological symptom cluster (fatigue, depressive symptoms, and anxiety) during the first 18 months of adjuvant therapy and (2) explore associations between demographic and clinical characteristics and variations in genetic polymorphisms related to hypothalamic-pituitary-adrenal (HPA) axis function and predicted symptom trajectory subgroup membership. We obtained symptom data at 4 time points from baseline to 18 months of adjuvant therapy among 292 postmenopausal women with breast cancer. Genetic data were collected in a subgroup at baseline (N = 184). Group-based multitrajectory modeling was used to classify women into subgroups with similar psychological symptom cluster trajectories. Binary logistic regression was used to explore the associations between each genotypic and phenotypic predictor and predicted subgroup membership. Two distinct symptom subgroups (low and high) were identified based on the trajectories of the symptom cluster of fatigue, depressive symptoms, and anxiety over the first 18 months of adjuvant therapy. Women who were younger, less educated, and who received chemotherapy had greater likelihood of being in the high-symptom subgroup. Variation in genes regulating the HPA axis (FKBP5 rs9394309 [odds ratio (OR) = 3.98, p = .015], NR3C2 rs5525 [OR = 2.54, p = .036], and CRHR1 rs12944712 [OR = 3.99, p = .021]) was associated with membership in the high-symptom subgroup. These results may help to identify women with breast cancer who are at increased risk for psychological symptoms, facilitating the development of individualized and preemptive interventions to better manage these symptoms during adjuvant therapy.