Symptom Clusters in Breast Cancer Survivors: A Latent Class Profile Analysis

Latent profile analysis and related factors for fear of cancer recurrence among Chinese breast cancer patients in rehabilitation

PURPOSE

Fear of cancer recurrence (FCR) is a psychological problem often faced by breast cancer patients in the rehabilitation period. The aim of this study was to identify FCR subgroups of Chinese breast cancer patients in rehabilitation and to analysis the factors affecting each subgroup. The effects of the subgroups on quality of life (QoL) were also explored.

METHODS

Cross-sectional data were collected from 300 breast cancer patients in a rehabilitation setting. The researchers invited the subjects to complete questionnaires on FCR, fatigue, anxiety depression, perception of illness and QoL. The researchers conducted a latent profile analysis. The factors influencing the subgroups of FCR were identified using ANOVA and multinomial logistic regression analyses. Linear regression analyses were used to explore the effect of subgroups on QoL.

RESULTS

There were three subgroups of FCR: profile 1 'Low FCR Group' (42.3%), profile 2 'Moderate FCR Group' (45.6%), and profile 3 'High FCR Group' (12.1%). Cancer stage II was a protective factor for FCR patients (OR = 0.107, P < 0.01) and was more likely to be categorized among the low FCR group. Anxiety depression was a risk factor for FCR patients and was more likely to be categorized in the medium FCR group (OR = 1.764, P < 0.001) and in the high FCR group (OR = 2.911, P < 0.001). In addition, patients subjected to a high perception of illness were more likely to be considered in the medium FCR group (OR = 1.041, P < 0.05), a risk factor affecting patients with FCR. Linear regression analysis showed that subgroups with higher FCR had a stronger negative predictive effect on their QoL (all P < 0.001).

CONCLUSIONS

The FCR was identified as three subgroups among breast cancer patients in rehabilitation, which suggests that healthcare professionals should give full consideration to the impact of cancer stage, anxiety and depression, and illness perceptions on the FCR subgroups in order to improve their QoL.

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.

Acupuncture for the treatment of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster in breast cancer survivors: a feasibility trial

PURPOSE

Breast cancer survivors following disease-modifying treatment frequently experience multiple-concurrent symptoms (Jansana et al. in Int J Cancer 149(10):1755 1767, 2021), negatively impacting their quality of life and increasing the risk of polypharmacy (Alwhaibi et al. in J Oncol Pharm Pract 26(5):1052 1059, 2020). This study evaluates the feasibility and acceptability of acupuncture for the management of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster in breast cancer survivors, and investigates relationships between the symptom cluster and Traditional Chinese Medicine (TCM) syndrome diagnosis.

METHODS

This was a single-arm, pre-test/post-test feasibility trial conducted at Chris O'Brien Lifehouse Hospital, Australia. Breast cancer survivors who completed treatment and experienced clinically significant levels of two or more symptoms (pain, fatigue, sleep disturbance, numbness/tingling) were eligible to participate in the individualized, pragmatic 6-week acupuncture intervention. The primary outcome was feasibility and acceptability. Effectiveness was explored using a symptom cluster mean score.

RESULTS

Twenty women enrolled in the study over an 11-week period and 90% completed the study. Most women agreed or completely agreed that acupuncture was feasible (85%), acceptable (90%), and appropriate (90%). Both mean and composite symptom cluster scores were significantly reduced (p < 0.001), as were individual symptom scores in fatigue (p < 0.001), sleep disturbance (p = 0.04), and numbness/tingling (p = 0.01). TCM syndromes most closely associated with this symptom cluster were Spleen qi deficiency and Heart fire. No adverse events were reported.

CONCLUSION

This study demonstrated that acupuncture was safe and feasible, justifying a powered randomized control trial. Preliminary findings suggest beneficial effects of acupuncture for the management of the pain-fatigue-sleep disturbance-numbness/tingling symptom cluster for women with breast cancer. TCM syndromes identified in this trial may be used to guide acupuncture treatment protocols.

CLINICAL TRIAL REGISTRATION

This trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12622000590763) on 21 April 2022.

Follow-up assessment of sleep-related symptoms in patients after treatment for cancer: responses to continuous positive airway pressure treatment for co-morbid obstructive sleep apnoea

PURPOSE

To assess changes in sleep-related symptoms in patients with breast cancer, endometrial cancer and melanoma previously examined for sleep-related symptoms and the presence of PSG (polysomnography)-determined OSA, ≥ 3 years post-treatment; and to evaluate how CPAP treatment affects sleep-related symptoms in patients previously diagnosed with OSA.

METHODS

Patients initially recruited from breast cancer, endometrial cancer, and melanoma follow-up clinics at Westmead Hospital (Sydney, Australia) participated in this questionnaire-based study. Demographic and change in cancer status data were collected at follow-up. Patients completed the Pittsburgh Sleep Quality Index [poor sleep quality, PSQITOTAL ≥ 5au], Insomnia Severity Index, Epworth Sleepiness Scale and Functional Outcomes of Sleep Questionnaire; with ΔPSQITOTAL ≥ 3au indicating a clinically meaningful change in sleep quality over follow-up. PSG-determined OSA was confirmed using the apnoea-hypopnoea index. CPAP compliance was determined via self-report (CPAP compliant, CPAP; not compliant, non-CPAP). Logistic regression models determined if changes in cancer status, AHI, cancer subgroup or CPAP treatment was predictive of ΔPSQITOTAL ≥ 3 au and p < 0.05 indicated statistical significance.

RESULTS

The 60 patients recruited had breast cancer (n = 22), endometrial cancer (n = 15), and melanoma (n = 23). Cancer subgroups were similarly aged, and all had median follow-up PSQITOTAL scores ≥ 5au; breast cancer patients scoring the highest (p < 0.05). The CPAP group had significantly reduced PSQITOTAL scores (p = 0.02) at follow-up, unlike the non-CPAP group. Cancer subgroups had similar median ISITOTAL, ESSTOTAL and FOSQ-10TOTAL scores at follow-up, regardless of CPAP treatment. There were no significant predictors of ΔPSQITOTAL ≥ 3 au at follow-up.

CONCLUSION

Sleep-related symptoms persist in patients with cancer ≥ 3 years after treatment, although these symptoms improve with CPAP. Future studies should evaluate how CPAP affects survival outcomes in cancer patients with comorbid OSA.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Associations of frailty with symptoms, and HRQOL in older cancer survivors after cancer treatments: a systematic review and meta-analyses

PURPOSE

Frailty in older adult cancer survivors after cancer treatments is associated with various health outcomes. However, there is less agreement on how frailty affects symptoms and health-related quality of life (HRQOL). This systematic review and meta-analysis aimed to evaluate the current literature on frailty, symptoms, and HRQOL, as well as the associations of frailty with these factors in older adult cancer survivors with chemotherapy.

METHODS

A review was conducted on peer-reviewed publications from 2008 to 2023, using seven electronic databases. Meta-analyses were performed using random effects models to determine pooled effect estimates for frailty prevalence, symptom severity, and HRQOL scores.

RESULTS

A total of 26 studies involving older cancer survivors were included in the analysis. Most of these studies were conducted in Western countries and focused on White survivors, particularly those with breast cancer. The mean pooled prevalence of frailty was 43.5%. Among frail survivors, the most common symptoms reported after cancer treatments were pain (36.4%), neuropathy (34.1%), and fatigue (21.3%). Frailty was associated with higher pooled mean symptom severity (B = 1.23, p = 0.046) and lower functional HRQOL (B = - 0.31, p = 0.051, with marginal significance) after cancer treatments.

CONCLUSION

Frail older cancer survivors are at high risk of adverse symptoms and poor HRQOL after cancer treatment. Further research on screening for frailty is needed to prevent older adults from developing worse symptoms burden and maintain HRQOL. It is also essential to understand the mechanisms of the associations between frailty, symptoms and HRQOL in this population.

Revealing symptom profiles: A pre-post analysis of docetaxel therapy in individuals with breast cancer

PURPOSE

This study aimed to explore the symptom profiles and predominant symptoms in newly diagnosed breast cancer women before and after receiving docetaxel chemotherapy.

METHODS

A pre-post study recruited adult women with stage I-III breast cancer undergoing docetaxel chemotherapy using convenience sampling. The 13-item symptom severity subscale of the M. D. Anderson Symptom Inventory-Taiwan Form was used to measure symptoms. The study employed latent profile analysis to identify subgroups based on symptom severity before and after docetaxel chemotherapy. Descriptive statistics, including mean and frequency, were used to compare and contrast the most prevalent and severe symptoms within each subgroup to confirm the predominant symptoms.

RESULTS

The study identified four and two symptom profiles before and after docetaxel treatment, respectively. Disturbed sleep was identified as a prevalent symptom for all participants, regardless of their chemotherapy status. The predominant symptoms before treatment were disturbed sleep, dry mouth, difficulty remembering, and fatigue, while disturbed sleep and numbness were the predominant symptoms after treatment.

CONCLUSION

The findings of this study are significant, as they contribute to the current understanding of the symptom experience of breast cancer individuals undergoing docetaxel chemotherapy. Healthcare professionals should prioritize assessing and managing these symptoms, including identifying contributing factors to poor sleep. Addressing symptom profiles related to sleep can improve the quality of life of breast cancer individuals undergoing docetaxel chemotherapy.

Differential Characteristics of Fatigue-Pain-Sleep Disturbance-Depression Symptom Cluster and Influencing Factors of Patients With Advanced Cancer During Treatment: A Latent Class Analysis

BACKGROUND

Patients with advanced cancer may experience symptom clusters during treatment (eg, fatigue, pain, sleep disturbance, depression). Understanding the characteristics and factors associated with symptom cluster classes among this patient population is essential for effective symptom management.

OBJECTIVE

The aims of this study were to identify symptom cluster (fatigue-pain-sleep disturbance-depression) classes and explore influencing factors in patients with advanced cancer during the treatment.

METHODS

A cross-sectional survey was conducted in an oncology department of a tertiary hospital in China from September 2020 to March 2021. Cancer patients (stage III/IV) 18 years or older completed the questionnaires on pain, fatigue, sleep disturbance, depression, physical activity, and exercise self-efficacy. Latent class analysis and multinomial logistic regression were used.

RESULTS

Three hundred sixty-five patients who were male (65.2%) and younger than 60 years (59.5%) completed questionnaires. Three symptom cluster classes were identified: class 1 ("low symptom burden" class), class 2 ("fatigue-insomnia" class), and class 3 ("high symptom burden" class), with a percentage of 54.5%, 38.6%, and 6.8%, respectively. The quality-of-life score, introversion/extroversion, economic burden, Karnofsky Performance Status, albumin level, and exercise self-efficacy were significantly different among the 3 classes (P < .05).

CONCLUSION

Patients with advanced cancer were classified into 3 distinct classes, with class 1 having the best function. Results from this study reveal that Karnofsky Performance Status, albumin level, and exercise self-efficacy were significant factors for the latent classes of symptom cluster.

IMPLICATIONS FOR PRACTICE

Exercise self-efficacy is important for personalized interventions and improving symptom management efficiency.

Treating persistent pain after breast cancer: practice gaps and future directions

This paper discusses the growing problem of persisting pain after successful treatment of breast cancer and presents recommendations for improving pain-related outcomes for this group. We discuss the dominant treatment approach for persisting pain post-breast cancer treatment and draw contrasts with contemporary treatment approaches to persistent pain in non-cancer-related populations. We discuss modern application of the biopsychosocial model of pain and the notion of variable sensitivity within the pain system, moment by moment and over time. We present the implications of increasing sensitivity over time for treatment selection and implementation. By drawing on transformative changes in treatment approaches to persistent non-cancer-related pain, we describe the potentially powerful role that an intervention called pain science education, which is now recommended in clinical guidelines for musculoskeletal pain, may play in improving pain and disability outcomes after successful breast cancer treatment. Finally, we present several research recommendations that centre around adaptation of the content and delivery models of contemporary pain science education, to the post-breast cancer context.

Effects of Functional and Nutraceutical Foods in the Context of the Mediterranean Diet in Patients Diagnosed with Breast Cancer

Several studies report that breast cancer survivors (BCS) tend to have a poor diet, as fruit, vegetable, and legume consumption is often reduced, resulting in a decreased intake of nutraceuticals. Moreover, weight gain has been commonly described among BCS during treatment, increasing recurrence rate and mortality. Improving lifestyle and nutrition after the diagnosis of BC may have important benefits on patients' general health and on specific clinical outcomes. The Mediterranean diet (MD), known for its multiple beneficial effects on health, can be considered a nutritional pool comprising several nutraceuticals: bioactive compounds and foods with anti-inflammatory and antioxidant effects. Recent scientific advances have led to the identification of nutraceuticals that could amplify the benefits of the MD and favorably influence gene expression in these patients. Nutraceuticals could have beneficial effects in the postdiagnostic phase of BC, including helping to mitigate the adverse effects of chemotherapy and radiotherapy. Moreover, the MD could be a valid and easy-to-follow option for managing excess weight. The aim of this narrative review is to evaluate the recent scientific literature on the possible beneficial effects of consuming functional and nutraceutical foods in the framework of MD in BCS.

Integrating patient-reported physical, mental, and social impacts to classify long COVID experiences

Long COVID was originally identified through patient-reported experiences of prolonged symptoms. Many studies have begun to describe long COVID; however, this work typically focuses on medical records, instead of patient experiences, and lacks a comprehensive view of physical, mental, and social impacts. As part of our larger My COVID Diary (MCD) study, we captured patient experiences using a prospective and longitudinal patient-reported outcomes survey (PROMIS-10) and free-text narrative submissions. From this study population, we selected individuals who were still engaged in the MCD study and reporting poor health (PROMIS-10 scores < 3) at 6 months (n = 634). We used their PROMIS-10 and narrative data to describe and classify their long COVID experiences. Using Latent Class Analysis of the PROMIS-10 data, we identified four classifications of long COVID experiences: a few lingering issues (n = 107), significant physical symptoms (n = 113), ongoing mental and cognitive struggles (n = 235), and numerous compounding challenges (n = 179); each classification included a mix of physical, mental, and social health struggles with varying levels of impairment. The classifications were reinforced and further explained by patient narratives. These results provide a new understanding of the varying ways that long COVID presents to help identify and care for patients.

Symptom clusters among breast cancer patients in relation to chemotherapy cycles: a longitudinal study

PURPOSE

The aim of this study was to identify symptom clusters in breast cancer patients undergoing adjuvant chemotherapy.

METHODS

A prospective longitudinal study was conducted. And a sample of 620 breast cancer patients receiving adjuvant chemotherapy was recruited using convenience sampling from May 20, 2020, to March 31, 2021. Data were collected eight times: the first chemotherapy cycle (T1) to the eighth cycle of chemotherapy (T8). Exploratory factor analysis was used to explore the composition of symptom clusters.

RESULTS

Symptoms with an incidence of less than 20% were deleted and the remaining symptoms were included in the factor analysis. Three common factors were extracted in T1, including gastrointestinal symptom cluster, emotional and psychological symptom cluster, and menopausal symptom cluster. Five common factors were extracted from T2 to T7, including gastrointestinal symptom cluster, emotional and psychological symptom cluster, neurological symptom cluster, menopausal symptom cluster, and self-image disorder symptom cluster. Four common factors were extracted at T8, including gastrointestinal symptom cluster, emotional and psychological symptom cluster, neurological symptom cluster, and menopausal symptom cluster.

CONCLUSION

Breast cancer patients undergoing adjuvant chemotherapy experience multiple symptoms and different symptom clusters in different chemotherapy cycles. It is a benefit for health care providers to better understand and care for breast cancer patients. It will also help such women to manage concurrent symptoms ahead to promote their quality of life.

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.

The long-term burden of a symptom cluster and association with longitudinal physical and emotional functioning in breast cancer survivors

BACKGROUND

Fatigue, insomnia and pain are some of the most common and distressing symptoms experienced during breast cancer (BC) treatment and survivorship. The symptoms have been found to impact one another and to form a symptom cluster, and greater severity of the symptoms may be negatively associated with physical and emotional functioning in survivorship. In exploratory analyses from a randomized controlled trial examining the effect of progressive resistance training on the development of lymphedema after BC, we aimed to examine the burden of the symptom cluster fatigue-pain-insomnia, and its prognostic value for long-term symptom severity as well as emotional and physical functioning.

MATERIAL AND METHODS

Latent profile analysis was used to identify groups with similar severity of pain, fatigue and insomnia among 158 patients with BC two weeks after surgery. Mixed effects Tobit regression models were used to estimate fatigue, pain, insomnia, and physical and emotional functioning 20 weeks, 1 year and 3.5 years after surgery.

RESULTS

Two symptom burden groups were identified: 80% of women had a low severity while 20% of women had a high severity of the three symptoms after BC surgery. 3.5 years later, the women with high symptom burden post-surgery still had higher pain, insomnia and fatigue scores than women with low symptom burden. High symptom burden post-surgery was associated with worse physical functioning 3.5 years later, while emotional functioning was only negatively impacted during the first year.

DISCUSSION

These findings warrant larger studies investigating if symptom burden early in BC trajectory can be used for risk stratification for persistent symptoms and diminished physical functioning with the purpose of developing and implementing targeted interventions.

Symptom burden survey and symptom clusters in patients with cervical cancer: a cross-sectional survey

PURPOSE

The purpose of this study is to determine the incidence and severity of symptoms of patients with cervical cancer within 6 months after radiotherapy and chemotherapy, form a symptom burden report, evaluate the distribution characteristics of symptoms, identify symptom clusters, and provide a basis for clinical doctors and nurses to improve the symptom management of patients with cervical cancer after radiotherapy and chemotherapy.

METHODS

The patients with cervical cancer within 6 months after radiotherapy and chemotherapy were recruited to investigate their symptom burden. Exploratory factor analysis was used to identify symptom clusters.

RESULTS

A total of 250 patients participated in the study. The study found that the most common symptom among the 40 symptoms was fatigue, and the most serious symptom was nocturia. Based on the occurrence rate and severity of symptoms, nine symptom clusters were identified, including psycho-emotion-related symptom cluster, pain-disturbed sleep-related symptom cluster, menopausal symptom cluster, tinnitus-dizziness-related symptom cluster, urinary-related symptom cluster, dry mouth-bitter taste-related symptom cluster, intestinal-related symptom cluster, memory loss-numbness-related symptom cluster, and emaciation-related symptom cluster. The three most serious symptom clusters are pain-disturbed sleep-related symptom cluster, urinary-related symptom cluster, and memory loss-numbness-related symptom cluster.

CONCLUSION

The symptoms of patients with cervical cancer within 6 months after radiotherapy and chemotherapy are complex, and nine symptom clusters can be identified according to the incidence and severity of symptoms. We can find the potential biological mechanism of each symptom cluster through the discussion of previous mechanism research and clinical research. The number of symptom clusters and the number of symptoms within the symptom cluster are closely related to the symptom evaluation scale selected for the study. Therefore, the symptom cluster study urgently needs a targeted symptom evaluation scale that can comprehensively reflect the patient's condition.

The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis

Objective

To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI.

Methods

A cross-sectional study was conducted to investigate 378 patients having lung cancer in China from October 2021 to July 2022. The perceived cognitive impairment scale and the general anxiety disorder-7 were used to assess patients' cognitive impairment and anxiety, respectively. The pain-fatigue-sleep disturbance-depression SC was assessed with the brief fatigue inventory, the brief pain inventory, the Patient Health Questionnaire-9, and the Athens Insomnia Scale. Latent class analysis by Mplus.7.4 was used to identify latent classes of the SC. We adjusted for covariates in the multivariable logistic regression model to examine the relationship between the pain-fatigue-sleep disturbance-depression SC and CRCI.

Results

Among patients having lung cancer, two SC classes were identified: high and low symptom burden groups. In the crude model, compared to the low symptom burden group, the high symptom group had greater odds of developing CRCI (odds ratio: 10.065, 95% confidence interval: 4.138-24.478). After adjusting for covariates, in model 1, the high symptom group still had greater odds of developing CRCI (odds ratio: 5.531, 95% confidence interval: 2.133-14.336). Additionally, a diagnosis of over 6 months, anxiety, leisure activity, and a high platelet-to-lymphocyte ratio were found to be influencing factors of CRCI (all P ​< ​0.05).

Conclusions

Our study revealed that a high symptom burden is a significant risk factor for CRCI, which may provide a new perspective for managing CRCI in lung patients having cancer.

Symptoms, symptom clusters and associated factors among cancer patients receiving immune checkpoint inhibitor therapy: A cross-sectional survey

PURPOSE

The purpose of this study was to explore the symptoms and symptom clusters and analyse associated factors among cancer patients receiving ICI therapy.

METHODS

We analysed the data of 216 cancer patients who received immune checkpoint inhibitor therapy from the internal medicine unit of a university cancer centre in China. Participants were surveyed using the Eastern Cooperative Oncology Group Performance Score (ECOG PS) assessment, the ICI therapy symptom assessment scale, and demographic and disease characteristic questionnaires designed for this study. Exploratory factor analysis and multiple linear regression analysis were performed to analyse the data.

RESULTS

The most common symptoms in patients with grade 1-2 symptom severity were fatigue (57.4%), itching (34.3%) and cough (33.3%), and those with grade 3-4 symptom severity were rash (7.9%), joint pain (6.9%), muscle soreness (6.5%) and fatigue (6.5%). Four symptom clusters were identified: nonspecific, musculoskeletal, respiratory and cutaneous (the cumulative contribution to the variance was 64.070%). ECOG PS, disease course and gender were significantly associated with the nonspecific symptom cluster (Adj R² = 14.3). ECOG PS and disease course were significantly associated with the respiratory symptom cluster (Adj R² = 8.9). ECOG PS, disease course and education level were significantly associated with the musculoskeletal symptom cluster (Adj R² = 20.2).

CONCLUSION

Cancer patients receiving ICI therapy experience various symptoms with apparent clustering. The factors associated with symptom clusters included gender, education level, ECOG PS and disease course. These findings would be useful for medical personnel to provide relevant interventions to promote symptom management of ICI therapy.

Cancer-related symptoms among young and middle-aged women undergoing chemotherapy for breast cancer: Application of latent class analysis and network analysis

PURPOSE

To identify subgroups and symptom networks of cancer-related symptoms for women under 60 years who are undergoing chemotherapy for breast cancer.

METHODS

A cross-sectional survey in Mainland China was conducted between August 2020 and November 2021. Participants completed questionnaires that collected demographic and clinical characteristics and featured the PROMIS-57 and the PROMIS-Cognitive Function Short Form.

RESULTS

A total of 1033 participants were included in the analysis, and three-class model was identified: "severe symptom group" (17.6%; Class 1), "moderately severe anxiety, depression, and pain-interference group" (38.0%; Class 2), and "mild symptom group" (44.4%; Class 3). Patients who were in menopause (OR = 3.05, P < .001), undergoing a combination of medical treatments (OR = 2.39, P = .003), and who had experienced complications (OR = 1.86, P = .009) were more likely to belong to Class 1. However, having two or more children increased the likelihood of belonging to Class 2. Additionally, network analysis showed that severe fatigue level was the core symptom among the full sample. As for Class 1, feeling helpless and severe fatigue level were the core symptoms. Regarding Class 2, the impact of pain interfere on the ability to participate in social activities and feeling hopeless were found to be the targeted symptoms for intervention.

CONCLUSION

Menopause, receiving a combination of medical treatments, and experiencing complications characterize the group with the most symptom disturbance. Moreover, different interventions should be performed for core symptoms in patients with varied symptom disturbances.

Feasibility of Investigational Procedures and Efficacy of a Personalized Omega-3 Dietary Intervention in Alleviating Pain and Psychoneurological Symptoms in Breast Cancer Survivors

BACKGROUND

Breast cancer survivors (BCS) are at risk for psychoneurological symptoms (PNS) and inflammation for years following cancer treatment. Fish, particularly salmon, provides a rich source of omega-3 long chain fatty acids (omega-3LC), which has an anti-inflammatory effect. However, the benefit of omega-3LC on PNS is not well-known.

AIMS

This study evaluated the feasibility and the initial efficacy of a personalized meal plan with dietary omega-3LC in reducing PNS.

METHODS

A prospective, randomized controlled trial design (n = 46) was used to evaluate the feasibility of a personalized meal plan using two omega-3LC dose levels (high and low omega-3LC) in reducing PNS including pain, depression, fatigue, sleep, and stress.

RESULTS

The recruitment rate was 4.9% with overall retention rate of 74% and 67.1% adherence to personalized meal plan and dietary procedures. Of participants who completed the investigation, 94% completed fish adherence logs and consumed ≥70% of the assigned quantity of fish. Saliva collection was 97.8% at baseline and 100% at follow-up. BCS in the high omega-3LC group had a significant decrease in pain (p < .01), perceived stress (p < .05), sleep (p < .001), depression (p < .001), and fatigue (p < .01) over the course of intervention. There were trends of PNS improvement in the low omega-3LC group but the differences did not reach statistical significance.

CONCLUSION

Our results support the feasibility of our investigational design, procedures, and intervention. The outcomes provide preliminary support for an expanded research effort using fish as a source of omega-3LC and personalized dietary planning as a vehicle for symptom self-management in BCS.

Prognostic analysis of breast cancer in Xinjiang based on Cox proportional hazards model and two-step cluster method

Objective

To examine the factors that affect the prognosis and survival of breast cancer patients who were diagnosed at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2021, forecast the overall survival (OS), and assess the clinicopathological traits and risk level of prognosis of patients in various subgroups.

Method

First, nomogram model was constructed using the Cox proportional hazards models to identify the independent prognostic factors of breast cancer patients. In order to assess the discrimination, calibration, and clinical utility of the model, additional tools such as the receiver operating characteristic (ROC) curve, calibration curve, and clinical decision curve analysis (DCA) were used. Finally, using two-step cluster analysis (TCA), the patients were grouped in accordance with the independent prognostic factors. Kaplan-Meier survival analysis was employed to compare prognostic risk among various subgroups.

Result

T-stage, N-stage, M-stage, molecular subtyping, type of operation, and involvement in postoperative chemotherapy were identified as the independent prognostic factors. The nomogram was subsequently constructed and confirmed. The area under the ROC curve used to predict 1-, 3-, 5- and 7-year OS were 0.848, 0.820, 0.813, and 0.791 in the training group and 0.970, 0.898, 0.863, and 0.798 in the validation group, respectively. The calibration curves of both groups were relatively near to the 45° reference line. And the DCA curve further demonstrated that the nomogram has a higher clinical utility. Furthermore, using the TCA, the patients were divided into two subgroups. Additionally, the two groups' survival curves were substantially different. In particular, in the group with the worse prognosis (the majority of patients did not undergo surgical therapy or postoperative chemotherapy treatment), the T-, N-, and M-stage were more prevalent in the advanced, and the total points were likewise distributed in the high score side.

Conclusion

For the survival and prognosis of breast cancer patients in Xinjiang, the nomogram constructed in this paper has a good prediction value, and the clustering results further demonstrated that the selected factors were important. This conclusion can give a scientific basis for tailored treatment and is conducive to the formulation of focused treatment regimens for patients in practical practice.

Living as a Survivor: Sleep Disturbance, Fatigue, Depressive Mood, and Cognitive Dysfunction After Breast Cancer Treatment

BACKGROUND

Many cancer survivors endure multiple symptoms while striving to return to a normal life. Those symptoms often co-occur and exacerbate one another; however, their interplay is not fully understood.

OBJECTIVE

This study aimed to examine the occurrence and concurrence of sleep disturbance, fatigue, depressive mood, and cognitive dysfunction in posttreatment breast cancer survivors.

METHODS

The data for this descriptive analysis were collected as part of the screening for a clinical trial. The occurrences of sleep disturbance, depressive mood, and cognitive dysfunction were each determined by the cutoff scores of the Pittsburgh Sleep Quality Index, Center for Epidemiological Studies Depression Scale, and Montreal Cognitive Assessment, respectively; fatigue was determined by meeting the International Classification of Diseases cancer-related fatigue criteria.

RESULTS

A convenience sample of 81 women completed chemotherapy or/and radiation for stage I-III breast cancer an average of 23.1 (±SD = 9.0) months ago. Sleep disturbance (85%) was most prevalent, followed by fatigue (67%), depressive mood (46%), and cognitive dysfunction (29%). Of the survivors, 80% reported 2 or more co-occurring symptoms. Worsened subjective sleep quality, sleep disturbance, and daytime dysfunction significantly increased the risk of fatigue by 5.3, 4.3, and 4.3 times (all P < .001) and depression by 2.0, 2.7, and 3.0 times (all P < .05), respectively.

CONCLUSION

Sleep disturbance significantly increased the risk of survivors' fatigue and/or depressive mood after cancer treatment completion.

IMPLICATION FOR PRACTICE

Effectively managing sleep disturbance and improving the individual's sleep perception may subsequently reduce fatigue and/or depressive mood among breast cancer survivors. Nonpharmacological strategies for managing multiple posttreatment symptoms are needed.

Moving beyond Table 1: A critical review of the literature addressing social determinants of health in chronic condition symptom cluster research

Variability in the symptom experience in patients diagnosed with chronic conditions may be related to social determinants of health (SDoH). The purpose of this critical review was to (1) summarize the existing literature on SDoH and symptom clusters (i.e., multiple, co-occurring symptoms) in patients diagnosed with common chronic conditions, (2) evaluate current variables and measures used to represent SDoH, (3) identify gaps in the evidence base, and (4) provide recommendations for the incorporation of SDoH into future symptom cluster research. We identified 118 articles including information on SDoH in chronic condition symptom cluster research. Articles primarily focused on cancer populations. Few articles had the explicit purpose of investigating relationships between SDoH and symptom clusters, and the inclusion of SDoH was often limited to variables used to describe samples. Future studies should be designed to "move beyond Table 1" in their utilization of SDoH as variables and examine relationships between SDoH and symptom clusters. Attention should be paid to the appropriateness of measures being used to collect information on SDoH, and analysis methods that estimate causal connections between variables should be considered. Research regarding the relationship of SDoH with symptom clusters in patients with chronic conditions has the potential to reveal mechanisms of symptom disparities and guide changes to alleviate these disparities.

Relationships Between Colorectal Cancer Survivors' Positive Psychology, Symptoms, and Quality of Life

This cross-sectional study examined colorectal cancer (CRC) survivors' symptom and symptom cluster characteristics (occurrence, frequency, and severity), positive psychology (benefit-finding and post-traumatic growth), and quality of life (QoL), and determined whether positive psychology moderates symptoms and QoL relationship during acute cancer survivorship, time from diagnosis to treatment completion. A total of 117 CRC survivors completed demographics, symptoms, QoL, and positive psychology questionnaires. Descriptive statistics, multiple linear regression, and moderation analyses were performed. Participants reported high QoL (94%, M = 5.15) and moderate-high positive psychology (75%, M = 3.21). Nineteen symptoms and five symptom clusters were inversely related to QoL (p < .05). Positive psychology (M = ~≥3.24) moderated the relationship of QoL (p < .05) with symptoms occurrence (n = 10), symptom severity (n = 1), and with the generalized symptom cluster (weakness, fatigue, dizziness, drowsy, sleep disturbances, and pain). Positive psychology aids in symptom management and improves QoL. Nurses are poised to identify, prevent, promote, and advocate self-management skills to improve health-related outcomes.

Trajectories of symptom severity predicts quality of life change in newly diagnosis lymphoma survivors: An initial study

OBJECTIVE

This study aimed to explore the subgroups of symptom severity and impact of their trajectories on quality of life in lymphoma survivors.

METHODS

Secondary data were analysed from a prospective study with four-time measures: before treatment (T1), during treatment (T2), treatment completion (T3) and 10 weeks after treatment (T4). Data were analysed using descriptive statistics, group-based trajectory model and generalised estimation equation.

RESULTS

Fifty nine of 61 participants completed three-time measure (mean age = 60.43 years, male-predominant). The changes in symptom severity over time were divided into two subgroups: slight-stable group (n = 54, 89%) and mild-fickle group (n = 7, 11%). Pain, tiredness and sleeping trouble were the predominant symptoms. The quality of life change in the slight-stable group was significantly better than that of the mild-fickle group (B = 13.35, SE = 3.53, p < 0.001). The overall quality of life at T2, T3 and T4 was better than it was at T1.

CONCLUSION

The different trajectories of symptom severity significantly influenced quality of life changes in lymphoma survivors. Healthcare providers must be aware that there is a group of lymphoma survivors with relatively severe symptoms when newly diagnosed, compared to the opposite. More attention must be paid to this group, in addition to providing in-time symptom management.

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.

Mapping Systematic Reviews of Breast Cancer Survivorship Interventions: A Network Analysis

PURPOSE

Despite a large volume of research, breast cancer survivors continue to experience high levels of unmet need. To better understand the breadth of evidence, we mapped systematic review-level evidence across cancer survivorship domains and outcomes and conducted network analyses of breast cancer survivorship care interventions.

METHODS

Umbrella review methodology was used to identify published systematic reviews reporting on survivorship care interventions for breast cancer survivors. Included reviews were mapped against domains and health care outcomes as specified by the Cancer Survivorship Quality Framework, and network analyses were conducted to determine the extent of clustering of reviews, and connectivity across domains and outcomes.

RESULTS

Of 323 included reviews, most focused on management of physical (71.5%) or psychologic (65.3%) effects, health-related quality of life (55.1%), and physical activity (45.2%). Few focused on financial/employment effects, chronic conditions, health care delivery domains, or health service use or cost outcomes. Network analysis indicated 38.6% of reviews were connected to a single domain, 35.0% to two domains, and 16.5% to three domains, indicating a relatively siloed nature of research, with greater community clustering between health care delivery domains but limited connection between these and the other domains. Reviews published between 2011 and 2021 were more likely to examine financial toxicity and chronic conditions, but these domains remained under-represented compared with physical and psychologic effects.

CONCLUSION

Despite vast volume of breast cancer survivorship intervention research, systematic review-level research is unevenly distributed, siloed, and with significant gaps in key domains and outcomes. Assessment of evidence gaps in primary research and strategic planning of future research, in consultation with survivors, is needed.

Varying severities of symptoms underline the relevance of personalized follow-up care in breast cancer survivors: latent class cluster analyses in a cross-sectional cohort

PURPOSE

Insights into the severity of co-existing symptoms can help in identifying breast cancer survivors in need of symptom management. We aimed to identify subgroups of breast cancer survivors based on patterns of symptom severity, and characteristics associated with these subgroups.

METHODS

We selected surgically treated stage I-III breast cancer survivors 1-5 years post-diagnosis from the Netherlands Cancer Registry (N = 876). We assessed experienced severity of fatigue, nausea, pain, dyspnea, insomnia, appetite, constipation, diarrhea, and emotional and cognitive symptoms through the EORTC-QLQ-C30 Quality of Life Questionnaire on a scale of 0-100. We determined subgroups of survivors using latent class cluster analyses (LCA) based on severity of co-existing symptoms and compared their mean severity to the age-matched female reference population to interpret clinical relevance. We assessed subgroup characteristics by multinomial logistic regression analyses.

RESULTS

From 404 respondents (46%), three subgroups of survivors with distinct symptom severity were identified: low severity (n = 116, 28.7%), intermediate severity (n = 224, 55.4%), and high severity (n = 59, 14.6%). The low subgroup reported lower symptom severity than the general population; the intermediate subgroup reported a similar symptom severity, although scores for fatigue, insomnia, and cognitive symptoms were worse (small-medium clinical relevance). The high subgroup had worse symptom severity (medium-large clinical relevance). Compared to the intermediate subgroup, one (RRR: 2.75; CI: 1.22-6.19; p = 0.015) or more (RRR: 9.19; CI: 3.70-22.8; p =  < 0.001) comorbidities were significantly associated with the high subgroup. We found no associated treatment characteristics.

CONCLUSION

We identified distinct subgroups of breast cancer survivors based on symptom severity, underlining the relevance of further exploring personalized follow-up strategies.

Comparing Fatigue, Loneliness, Daytime Sleepiness, and Stress in Younger and Older Breast Cancer Survivors: A Cross-Sectional Analysis

BACKGROUND

Breast cancer treatment can negatively affect psychosocial outcomes for breast cancer survivors (BCS), but these outcomes present differently for younger and older survivors.

OBJECTIVES

The objective of this study was to compare psychosocial outcomes between younger and older BCS and identify predictors of loneliness in younger BCS.

METHODS

This cross-sectional descriptive study of 90 BCS evaluated data on sociodemographic and clinical characteristics and self-reported measures of psychosocial outcomes (fatigue, depressive symptoms, anxiety, loneliness, daytime sleepiness, and stress). Participants were dichotomized into two groups by age (aged less than 50 years and aged 50 years or older). Descriptive statistics, bivariate correlations, and multiple regression were also examined.

FINDINGS

Younger BCS reported greater fatigue, loneliness, daytime sleepiness, and stress than older BCS. No between-group differences were found in depressive symptoms or anxiety. Having children and less time since chemotherapy completion were significant predictors of less loneliness in younger BCS.

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.

The Mediating Effect of Perceived Injustice and Pain Catastrophizing in the Relationship of Pain on Fatigue and Sleep in Breast Cancer Survivors: A Cross-Sectional Study

OBJECTIVE

Multidimensional aspects of pain have raised awareness about cognitive appraisals, such as perceived injustice (PI) and pain catastrophizing (PC). It has been demonstrated that they play an important role in patients' pain experience. However, the mediating effect of these appraisals has not been investigated in breast cancer survivors (BCS), nor have they been related to fatigue and sleep.

METHODS

Cross-sectional data from 128 BCS were analysed by structural path analysis with the aim to examine the mediating effect of PI and PC in the relationship of pain on fatigue and sleep.

RESULTS

The indirect mediating effects of PI on fatigue (CSI*PI = 0.21; P < 0.01 and VAS*PI = 1.19; P < 0.01) and sleep (CSI*PI = 0.31; P < 0.01 and VAS*PI = 1.74; P < 0.01) were found significant for both pain measures (Central Sensitization Inventory (CSI) and Visual Analogue Scale (VAS)). PC, on the other hand, only mediated the relationship between pain measured by VAS and fatigue (VAS*PC = 0.80; P = 0.03). Positive associations were found, indicating that higher pain levels are positively correlated with PI and PC, which go hand in hand with higher levels of fatigue and sleep problems.

CONCLUSION

PI is an important mediator in the relationship of pain on fatigue and sleep, while PC is a mediator on fatigue after cancer treatment. These findings highlight that both appraisals are understudied and open new perspectives regarding treatment strategies in BCS.

Symptom trajectories in patients with breast cancer: An integrative review

Objective

This study aimed to synthesize the available knowledge of symptom trajectories in patients with breast cancer and identify predictors associated with these trajectories.

Methods

Whittemore and Knafl’s integrative review method was employed to guide a systematic search for literature in four databases (PubMed, Embase, Web of Science, and CINAHL). The retrieved articles’ publication time was limited to 2010 to 2020, and only peer-reviewed English articles were included.

Results

Twenty-seven articles were included. The findings of the relevant studies were analyzed using thematic analysis. They were grouped into two themes: symptom trajectories of patients with breast cancer (symptom trajectories in patients with breast cancer, in patients who underwent surgery, and in patients who received cancer-related treatment) and associated factors (socioeconomic factors, health characteristics, cancer-related treatment characteristics). Newly diagnosed patients tended to report high trajectories of depression and persistent sleep disturbance. Most patients who underwent surgery reported significant sleep disturbance and anxiety shortly after surgery. For patients who received cancer-related treatment, only a small proportion had a high level of physical activity after cancer-related therapy over time. A high body mass index, a low relationship quality, parental responsibilities, insufficient social support, a low educational background, and an unhealthy lifestyle may increase the risk of negative symptom trajectories in patients with breast cancer. Additionally, old patients were more likely to report cognitive impairment after chemotherapy, while young patients tended to report trajectories of persistent sexual dysfunction. Concurring symptoms and poor health status also contributed to adverse symptom trajectories.

Conclusion

The findings of this review add to the body of knowledge of the interindividual variability of symptom trajectories in patients with breast cancer. Despite the overall similarity in appraisal at baseline, the patients reported varied symptom trajectories over time. It is recommended that nurses consider sociodemographic, clinical and cancer-related treatment characteristics and perform targeted early preventive interventions for patients with breast cancer.

Identification of Breast Cancer Survivors With High Symptom Burden

BACKGROUND

While women diagnosed with breast cancer have increased survival when compared with other cancers, survivorship may include residual symptom burden from treatment and continuing endocrine therapies.

OBJECTIVE

The objective of this study was to identify subgroups of breast cancer survivors experiencing similar symptom severity.

METHODS

Participants were 498 women with breast cancer, not on active treatment. Symptom severity was self-reported using the MD Anderson Symptom Inventory. Target symptoms were included in a latent profile analysis. Factors related to subgroup membership and differences in quality of life (QOL) and functioning were explored using logistic regression.

RESULTS

Mean age was 60.11 (SD, 11.32) years, 86.1% were white, and 79.1% were receiving endocrine therapy. Target symptoms included fatigue (reported at ≥5 by 22.8% of women), sleep disturbance (24.8%), and trouble remembering (17.2%). Two subgroups were identified: low symptom severity (77.0% of women) and high (23.0%). Older women (odds ratio [OR], 0.971; 95% confidence interval [CI], 0.952-0.989) and employed women (OR, 0.621; 95% CI, 0404-0.956) were less likely to be in the high subgroup; women with poorer performance status (OR, 1.653; 95% CI, 1.188-2.299) were more likely to be in the high subgroup. Women in the high subgroup reported lower QOL (P = .000) and greater interference with functioning (P = .000).

CONCLUSIONS

Two subgroups of women with distinct symptom severity were identified.

IMPLICATIONS FOR PRACTICE

Identification of women at risk for high symptoms during survivorship may allow clinicians to intensify their approach to symptom management, thereby mitigating poor outcomes and impairments in QOL.

The prevalence and risk of symptom and function clusters in colorectal cancer survivors

PURPOSE

Our purpose was to describe the prevalence and predictors of symptom and function clusters in a diverse cohort of colorectal cancer survivors.

METHODS

We used data from a cohort of 909 adult colorectal cancer survivors. Participants were surveyed at a median of 9 months after diagnosis to ascertain the co-occurrence of eight distinct symptom and functional domains. We used factor analysis to identify co-occurring domains and latent profile analysis (LPA) to identify subgroups of survivors with different symptom and function clusters. Multinomial logistic regression models were used to identify risk/protective factors.

RESULTS

Factor analysis demonstrated a single underlying factor structure that included all eight health domains with depression and anxiety highly correlated (r = 0.87). The LPA identified three symptom and function clusters, with 30% of survivors in the low health-related quality of life (HRQOL) profile having the highest symptom burden and lowest functioning. In multivariable models, survivors more likely to be in the low HRQOL profile included being non-White, female, those with a history of cardiac or mental health conditions, and chemotherapy recipients. Survivors less likely to be in the low HRQOL profile included those with older age, greater financial well-being, and more spirituality.

CONCLUSION

Nearly one-third of colorectal cancer survivors experienced a cluster of physical and psychosocial symptoms that co-occur with clinically relevant deficits in function.

IMPLICATIONS FOR CANCER SURVIVORS

Improving the identification of risk factors for having the highest symptom and lowest function profile can inform the development of clinical interventions to mitigate their adverse impact on cancer survivors' HRQOL.

Utilizing Patient Reported Outcome Measures (PROMs) in ambulatory oncology in Alberta: Digital reporting at the micro, meso and macro level

Cancer patients experience numerous distressing symptoms and concerns across the course of their illness, which negatively influence their quality of life. Regardless of cancer type, unmanaged symptoms can lead to adverse downstream consequences. Patient Reported Outcome Measures (PROMs) can be used to inform patient care and lead to targeted symptom management but simply gathering this information does not improve outcomes for the patient. Patient generated information must be easy for the clinicians to access and interpret if it is to be used to inform care delivery in ambulatory oncology facilities. This pragmatic work responded to this need. One Canadian provincial ambulatory oncology jurisdiction implemented digital tracking of PROMs over time in the provincial Electronic Medical Record (EMR) to support full integration of PROMs into standard care workflows and processes. Due to an inability within the EMR for direct patient entry, a hybrid data-entry was designed where the patient completes a paper-based PROM in the waiting room, and after clinical review, a clinician documents this along with their clinical assessment in the EMR. Several digital dashboards were developed which report PROMs data at the micro (individual), meso (clinic) and macro (program) levels. Using PROMs routinely in these provincial practice settings has numerous benefits including enhanced patient-clinician communication, assisting with problem detection, management of symptoms, and improving outcomes for patients. There are over 60,000 unique patients represented in our PROMs database, and over 300,000 unique screening events captured. The PROMs data is now used at all levels of the provincial cancer jurisdiction to provide targeted person centred care (micro), to staff appropriately at a clinic or program level (meso), and for capacity planning for provincial programs (macro). A new provincial EMR is currently being implemented which has an associated patient portal. Based on the success of this work, integration of direct entry of PROMs by the patient prior to the appointment and an associated workflow for symptom management is underway in this jurisdiction.

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.

Distinct dyadic coping profiles in Chinese couples with breast cancer

PURPOSE

Conceptualizing cancer as a dyadic stress provides new insight into how stress impacts couples with breast cancer. The present study aimed to identify subgroups with distinct dyadic coping profiles in a sample of Chinese couples with breast cancer and to determine how these subgroups differed in terms of demographic and clinical characteristics in addition to marital adjustment outcomes.

METHODS

Using convenience sampling, a cross-sectional survey was conducted. Couples with breast cancer completed the general information questionnaire, the Dyadic Coping Inventory, and the Locke-Wollance Marital Adjustment Test. The modeling was performed using a latent profile analysis to identify the dyadic coping subgroups. Parametric and nonparametric tests were applied to examine between-group differences across the identified classes.

RESULTS

The analytical results supported a three-class solution of dyadic coping groups: high (27.4%), medium (32.2%), and low (40.4%). Between-group differences were found in educational background, number of children, postoperative time, and type of surgery.

CONCLUSION

Most couples reported low levels of dyadic coping. The couples with an educational level of primary school or below, with one child or who were childless, and who had undergone breast preservation surgery within the past year were more likely to belong to the low dyadic coping group. When supporting couples with breast cancer, it is essential to assess several demographic and clinical risk factors in addition to the marital adjustment level to identify high-risk subgroups that warrant intervention.

Relationship between sleep disturbance, symptoms, and alcohol use in breast cancer survivors attending Sydney Cancer Survivorship Clinic

PURPOSE

We sought to determine the association between 'trouble sleeping', alcohol intake, hot flashes, and quality of life (QOL) in early-stage breast cancer survivors attending the Sydney Cancer Survivorship Clinic (SCSC).

METHODS

Survivors who had completed primary adjuvant treatment completed questionnaires assessing the following: symptoms, QOL (mean global score on FACT-G), and alcohol intake (drinks per day for past week), on the first visit to SCSC. Trouble sleeping and hot flashes were scored from 0 (no trouble at all) to 10 (worst I can imagine), with scores ≥ 4 classified as at least moderate and ≥ 7 severe.

RESULTS

238 breast cancer survivors attended SCSC from September 2013 to May 2019, with data available for 227 (median age 53 years; 70% on endocrine therapy). Trouble sleeping was at least moderate in 54% and severe in 19%. 47% reported consuming alcohol (mean 4.9 drinks/week). Scores for trouble sleeping were no different between survivors reporting alcohol consumption and not (mean 4.13 vs. 3.6; p = 0.17). Survivors reporting at least moderate trouble sleeping (vs. less than moderate) were no more likely to drink alcohol (OR 1.74, 95% CI 0.96-3.14, p = 0.067) but had poorer mean QOL scores (69.1 vs. 78.3; p = 0.0006). Survivors reporting at least moderate hot flashes (vs. less than moderate) were more likely to report at least moderate trouble sleeping (OR 3.78, 95% CI 2.02-6.71, p < 0.0001) and had worse mean QOL scores (68 vs. 78; p = 0.001).

CONCLUSION

Trouble sleeping is common amongst breast cancer survivors and associated with hot flashes and poorer QOL, but not with self-reported alcohol consumption.

Postdiagnosis Physical Activity: Association With Long-Term Fatigue and Sleep Disturbance in Older Adult Breast Cancer Survivors

BACKGROUND

Physical activity is frequently proposed as an intervention to reduce fatigue and sleep disturbance in cancer survivors; however, the long-term effects of physical activity are often not reported, and older adults are typically excluded from these intervention studies.

OBJECTIVES

This article aimed to examine if postdiagnosis physical activity is associated with lower long-term fatigue and sleep disturbance in older adult breast cancer survivors.

METHODS

Data were analyzed of a prospective cohort of 440 breast cancer survivors aged 65 years or older from the Women's Health Initiative study. Multiple linear and logistic regression models were used to examine associations of physical activity with fatigue and sleep disturbance.

FINDINGS

Higher postdiagnosis physical activity was associated with lower long-term fatigue but was not associated with lower sleep disturbance after adjusting for demographics, cancer characteristics, and baseline measures.