Longitudinal Examination of Symptom Profiles Among Breast Cancer Survivors

Symptom network and quality of life of breast cancer patients receiving multimodal cancer treatment: Cross-sectional study

PURPOSE

Breast cancer patients experience symptoms and side effects from multimodal treatments, which often include menopausal symptoms resulting from cytotoxic chemotherapy or estrogen suppression therapy. This study aimed to explore the symptom network and clusters and its relationship to quality of life (QoL) in breast cancer patients who receive multimodal cancer treatment and experience treatment-related menopausal symptoms.

METHODS

A correlational study was conducted. Breast cancer patients receiving multimodal cancer treatment and experiencing treatment-related menopausal symptoms were included while they were receiving radiation therapy (N = 250). Symptoms, functions and QoL were assessed using the EORTC QLQ-C30 and BR45. Network analysis, principal component analysis, exploratory factor analysis, and multiple linear regression analysis were conducted.

RESULTS

Fatigue was the most central symptom in the symptom-only network as well as in the network consisting of symptoms and QoL. Fatigue, systemic therapy side effects, appetite loss, and cognitive symptoms demonstrated significant associations with QoL. The cancer and treatment related symptom cluster consisted of fatigue, cognitive symptoms, emotional symptoms and systemic therapy side effects. Breast cancer therapy-specific symptoms, such as arm symptoms, skin mucosis symptoms, and breast symptoms, formed a cluster with pain.

CONCLUSION

Fatigue was the most central symptom in breast cancer patients receiving multimodal cancer treatment and experiencing menopausal symptoms. Evaluation of fatigue and providing interventions to manage fatigue would contribute to improvement of QoL of breast cancer patients receiving multimodal cancer treatments. Future network analysis and symptom cluster studies should specify the population of interest and the treatment phase using comprehensive symptom evaluation tools.

Effects of sleep disturbance, cancer-related fatigue, and psychological distress on breast cancer patients' quality of life: a prospective longitudinal observational study

More attention has gone to researching the cancer-related fatigue (CRF)-sleep disturbance (SD)-psychological distress (PD) symptom cluster in breast cancer patients during the chemotherapy period, but the change trend and heterogeneous development track in the whole treatment stage remain unclear, and it is also unclear whether the appearance of and changes in one symptom cause changes in other symptoms and quality of life (QoL). This study, using breast cancer patients' data collected through a validated questionnaire, examined the relationships between SD, CRF, PD, and QoL using latent growth modeling analyses. CRF developmental trajectories showed an upward trend over five surveys (slope = 0.649, P < 0.001); PD showed a significant weakening trend (slope = - 0.583, P < 0.001); SD showed an increasing trend (slope = 0.345, P < 0.001), and QoL showed a statistically significant weakening trend (slope = - 0.373, P < 0.001). The initial CRF (coefficient = - 0.233, P < 0.01), PD (coefficient = - 0.296, P < 0.01), and SD (coefficient = - 0.388, P < 0.001) levels had a statistically significant negative effect on initial QoL level. The linear development rate of PD was statistically significant and negatively affected that of QoL (coefficient = - 0.305, P < 0.05), whereas the quadratic development rate of SD negatively affected that of QoL (coefficient = - 0.391, P < 0.05). Medical staff should identify the change characteristics of different variables based on SD, CRF, PD, and QoL change trajectories, and advance the intervention time, as changes in variables affect other variables' subsequent changes.

Changes in Symptom Clusters Among Asian American Breast Cancer Survivors in Technology-Based Coaching Intervention

BACKGROUND

Limited research studies have focused on examining the impact of technology-based interventions in changing symptom clusters among Asian American breast cancer survivors.

OBJECTIVE

The aim of this study was to understand the longitudinal impact of a technology-based program on the symptom cluster experience of Asian American breast cancer survivors.

METHODS

This is a secondary data analysis that used exploratory factor analysis at each time point (baseline, post-1 month, post-3 months) for the control and intervention groups (N = 199).

RESULTS

The number of symptom clusters remained the same, and the same symptoms remained in similar clusters across the 2 groups. The control group experienced psychological cluster, fatigue cluster, and neck/skin cluster at baseline; psychological cluster, fatigue/dizzy cluster, and neck/skin cluster at post-1 month; and psychological cluster, fatigue/dizzy cluster, and somatic cluster at post-3 months. The intervention group experienced psychological cluster, neck cluster, and appetite/itching cluster at baseline; somatic/anticholinergic cluster, psychological/sexual cluster, and appetite cluster at post-1 month; and psychological cluster, neck cluster, and itching cluster at post-3 months. The psychological and neck clusters shared similar core symptoms of feeling nervous, dry mouth, and cough between the control and intervention groups.

CONCLUSION

The different symptom cluster experiences may be due to the technology-based intervention where the intervention group receives individual/group coaching/support that may have changed symptom clusters over time. Yet, the true efficacy of the intervention on symptom clusters warrants further investigation.

IMPLICATIONS FOR PRACTICE

Clinicians should understand the changes in symptom clusters as well as the presence of core symptoms and take a targeted symptom cluster approach in clinical settings.

Burden of late effects in a nationwide sample of long-term breast cancer survivors

BACKGROUND

Long-term breast cancer survivors (BCSs) may experience several late effects (LEs) simultaneously. This study aimed to identify subgroups of 8-year BCSs with higher burden of LEs who could benefit from closer survivorship care, explore variables associated with higher symptom burden, and describe how symptom burden may affect general functioning.

METHODS

All Norwegian women aged 20 to 65 years when diagnosed with stage I-III breast cancer in 2011 and 2012 were invited (n = 2803). The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire/BR23, the Fatigue Questionnaire, Assessment of Survivor Concerns, and Scale for Chemotherapy Induced Long-term Neurotoxicity were used to assess 10 common LEs and general functioning. Using latent class analysis, subgroups of BCSs with similar burden of LEs were identified. Multinominal regression analysis were performed to examine variables associated with higher symptom burden.

RESULTS

The final sample consisted of 1353 BCSs; 46% had low, 37% medium, and 17% high symptom burden. Younger age, short education, axillary dissection, higher systemic treatment burden, higher body mass index, and physical inactivity were associated with higher symptom burden. General functioning scores were lower, and the proportion on disability pension were higher among BCSs in the two most burdened subgroups compared with those in the low burden subgroup.

CONCLUSION

More than half of long-term BCSs suffered from medium or high symptom burden and experienced impaired general functioning compared with BCS with low symptom burden. Younger age and systemic treatment were important risk factors for higher symptom burden. BCSs at risk of higher symptom burdens should be identified and offered closer and extended survivorship care.

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.

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 influence of nutrition literacy, self-care self-efficacy and social support on the dietary practices of breast cancer patients undergoing chemotherapy: A multicentre study

PURPOSE

Breast cancer patients undergoing chemotherapy experience adverse reactions, which lead to poor nutritional status. The objective of this study was to explore the dietary practice of Chinese breast cancer patients undergoing chemotherapy and to analyse the influence of nutrition literacy, self-care self-efficacy and perceived social support on dietary practice.

METHOD

A total of 295 participants from three hospitals in China were enrolled. The Dietary Nutritional Knowledge, Attitude and Practice Questionnaire; Nutrition Literacy Measurement Scale for Chinese Adults; Strategies Used by People to Promote Health and Perceived Social Support Scale were administered. Multiple linear regressions were used to identify influencing factors.

RESULTS

The dietary practice of patients were generally satisfactory. Nutrition literacy (r = 0.460, p < 0.001), self-care self-efficacy (r = 0.513, p < 0.001) and perceived social support (r = 0.703, p < 0.001) were positively correlated with dietary practice. The main factors influencing participants' dietary practice were nutrition literacy, self-care self-efficacy, perceived social support, living environment, cancer stage, body mass index, chemotherapy cycle and average monthly household income (all p < 0.05). The model explained 59.0% of the variance in dietary practice.

CONCLUSIONS

Health professionals should emphasize breast cancer patients' dietary practice throughout the entire chemotherapy course, and dietary interventions should be designed by oncology nurses based on patients' nutrition literacy, self-care self-efficacy and perceived social support. Female patients who have a higher body mass index and income, live in rural areas, have a lower education level, have stage I cancer and have undergone numerous chemotherapy cycles are the focus population of intervention.

Septic Shock: Phenotypes and Outcomes

INTRODUCTION

Sepsis is a heterogeneous syndrome that results in life-threatening organ dysfunction. Our goal was to determine the relevant variables and patient phenotypes to use in predicting sepsis outcomes.

METHODS

We performed an ancillary study concerning 119 patients with septic shock at intensive care unit (ICU) admittance (T0). We defined clinical worsening as having an increased sequential organ failure assessment (SOFA) score of ≥ 1, 48 h after admission (ΔSOFA ≥ 1). We performed univariate and multivariate analyses based on the 28-day mortality rate and ΔSOFA ≥ 1 and determined three patient phenotypes: safe, intermediate and unsafe. The persistence of the intermediate and unsafe phenotypes after T0 was defined as a poor outcome.

RESULTS

At T0, the multivariate analysis showed two variables associated with 28-day mortality rate: norepinephrine dose and serum lactate concentration. Regarding ΔSOFA ≥ 1, we identified three variables at T0: norepinephrine dose, lactate concentration and venous-to-arterial carbon dioxide difference (P(v-a)CO₂). At T0, the three phenotypes (safe, intermediate and unsafe) were found in 28 (24%), 70 (59%) and 21 (18%) patients, respectively. We thus suggested using an algorithm featuring norepinephrine dose, lactate concentration and P(v-a)CO₂ to predict patient outcomes and obtained an area under the curve (AUC) of 74% (63-85%).

CONCLUSION

Our findings highlight the fact that identifying relevant variables and phenotypes may help physicians predict patient outcomes.

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.

Prevalence and Persistence of Anxiety and Depression over Five Years since Breast Cancer Diagnosis-The NEON-BC Prospective Study

Anxiety and depression are frequent among patients with breast cancer (BCa). Evidence of the persistence and recovery from these conditions and their determinants is scarce. We describe the occurrence of clinically significant anxiety and depression symptoms and their associated factors among BCa patients. A total of 506 women admitted in 2012 at the Portuguese Institute of Oncology of Porto were evaluated before treatment and after one, three, and five years (7.9% attrition rate). The five-year prevalence of anxiety and/or depression (Hospital Anxiety and Depression Scale, subscores ≥ 11) was 55.4%. The peak prevalence for anxiety was before treatment (38.0%), and after one year for depression (13.1%). One in five patients with anxiety/depression at baseline had persistent anxiety/depression over time, while only 11% and 22% recovered permanently from anxiety and depression, respectively, during the first year. Higher education, higher income, practicing physical activity, and adequate fruit and vegetable intake were protective factors against anxiety and/or depression. Loss of job and income, anxiolytics and antidepressants, cancer-related neuropathic pain, and mastectomy were associated with higher odds of anxiety and/or depression. These results highlight the importance of monitoring anxiety/depression during the first five years after cancer diagnosis and identify factors associated with these conditions.

Distress among Korean Cancer Survivors: A Latent Profile Analysis

This study aimed to classify cancer survivors' latent profile analysis (LPA) according to the problem list and identify the differences in distress between subgroups. Furthermore, this study identified differences between subgroups based on their demographic and clinical characteristics. A self-reported cross-sectional survey was administered to 446 adult cancer survivors in Korea. A distress thermometer and problem list were used, and four domains of the problem list were used to perform LPA and create subgroups. Quade's non-parametric analysis of covariance was used to determine the difference in distress between the profiles. The three identified subgroups of the problem list were: "low problem group" (36.7%), "high problem group" (49.1%), and "family only low problem group" (14.2%). The analysis showed that there was a difference in the distress level according to the sub-profile of the problem list (F = 43.69, p < 0.001). In interventions for distress, integrative interventions that are not limited to one area are necessary, and cultural characteristics as well as the problem list relevant to cancer survivors should be considered.

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.

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.

Identification of Patient-Reported Outcome Phenotypes Among Oncology Patients With Palliative Care Needs

PURPOSE

Despite evidence-based guidelines recommending early palliative care, it remains unclear how to identify and refer oncology patients, particularly in settings with constrained access to palliative care. We hypothesize that patient-reported outcome (PRO) data can be used to characterize patients with palliative care needs. To determine if PRO data can identify latent phenotypes that characterize indications for specialty palliative care referral.

METHODS

We conducted a retrospective study of self-reported symptoms on the Edmonton Symptom Assessment System collected from solid tumor oncology patients (n = 745) referred to outpatient palliative care. Data were collected as part of routine clinical care from October 2012 to March 2018 at eight community and academic sites. We applied latent profile analysis to identify PRO phenotypes and examined the association of phenotypes with clinical and demographic characteristics using multinomial logistic regression.

RESULTS

We identified four PRO phenotypes: (1) Low Symptoms (n = 295, 39.6%), (2) Moderate Pain/Fatigue + Mood (n = 180, 24.2%), (3) Moderate Pain/Fatigue + Appetite + Dyspnea (n = 201, 27.0%), and (4) High Symptoms (n = 69, 9.3%). In a secondary analysis of 421 patients, we found that two brief items assessing social and existential needs aligned with higher severity symptom and psychological distress phenotypes.

CONCLUSION

Oncology patients referred to outpatient palliative care in a real-world setting can be differentiated into clinically meaningful phenotypes using brief, routinely collected PRO measures. Latent modeling provides a mechanism to use patient-reported data on a population level to identify distinct subgroups of patients with unmet palliative needs.

An Audio-Recorded Hypnosis Intervention for Chronic Pain Management in Cancer Survivors: A Randomized Controlled Pilot Study

This pilot study evaluated the feasibility, acceptability, and potential efficacy of a 4-week hypnosis audio-recording intervention in cancer survivors with chronic pain. Forty participants were randomly assigned to treatment (n = 21) or wait-list (n = 19) conditions. Pain intensity ratings were lower at Week 4 for both groups. The effect size for pain reduction in the treatment group was d = 0.25 from baseline to 4 weeks, and the interaction effect (Time x Group) was F = .024; η²_p = .001. The small interaction effect may be due to the availability of only one recording and large variability in dose. Qualitative data indicated that the intervention's benefits included participation in self-care, improved relaxation, and an opportunity to focus on oneself in a positive way. Further efficacy testing of an audio-recording intervention in a fully powered clinical trial is warranted.

Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy

Quality of life (QoL) is a complex, ordinal endpoint with multiple conditioning factors. A predictive model of QoL after adjuvant chemotherapy can support decision making or the communication of information about the range of treatment options available. Patients with localized breast cancer (n = 219) were prospectively recruited at 17 centers. Participants completed the EORTC QLQ-C30 questionnaire. The primary aim was to predict health status upon completion of adjuvant chemotherapy adjusted for multiple covariates. We developed a Bayesian model with six covariates (chemotherapy regimen, TNM stage, axillary lymph node dissection, perceived risk of recurrence, age, type of surgery, and baseline EORTC scores). This model allows both prediction and causal inference. The patients with mastectomy reported a discrete decline on all QoL scores. The effect of surgery depended on the interaction with age. Women with ages on either end of the range displayed worse scores, especially with mastectomy. The perceived risk of recurrence had a striking effect on health status. In conclusion, we have developed a predictive model of health status in patients with early breast cancer based on the individual's profile.

Diverse patient trajectories during cytotoxic chemotherapy: Capturing longitudinal patient-reported outcomes

Background

High‐value cancer care balances effective treatment with preservation of quality of life. Chemotherapy is known to affect patients’ physical and psychological well‐being negatively. Patient‐reported outcomes (PROs) provide a means to monitor declines in a patients’ well‐being during treatment.

Methods

We identified 741 oncology patients undergoing chemotherapy in our electronic health record (EHR) system who completed Patient‐Reported Outcomes Measurement Information System (PROMIS) surveys during treatment at a comprehensive cancer center, 2013–2018. PROMIS surveys were collected before, during, and after chemotherapy treatment. Linear mixed‐effects models were performed to identify predictors of physical and mental health scores over time. A k‐mean cluster analysis was used to group patient PROMIS score trajectories.

Results

Mean global physical health (GPH) scores were 48.7 (SD 9.3), 47.7 (8.8), and 48.6 (8.9) and global mental health (GMH) scores were 50.4 (8.6), 49.5 (8.8), and 50.6 (9.1) before, during, and after chemotherapy, respectively. Asian race, Hispanic ethnicity, public insurance, anxiety/depression, stage III cancer, and palliative care were predictors of GPH and GMH decline. The treatment time period was also a predictor of both GPH and GMH decline relative to pre‐treatment. Trajectory clustering identified four distinct PRO clusters associated with chemotherapy treatment.

Conclusions

Patient‐reported outcomes are increasingly used to help monitor cancer treatment and are now a part of care reimbursement. This study leveraged routinely collected PROMIS surveys linked to EHRs to identify novel patient trajectories of physical and mental well‐being in oncology patients undergoing chemotherapy and potential predictors. Supportive care interventions in high‐risk populations identified by our study may optimize resource deployment.

Novelty and impact

This study leveraged routinely collected patient‐reported outcome (PROMIS) surveys linked to electronic health records to characterize oncology patients’ quality of life during chemotherapy. Important clinical and demographic predictors of declines in quality of life were identified and four novel trajectories to guide personalized interventions and support. This work highlights the utility of monitoring patient‐reported outcomes not only before and after, but during chemotherapy to help advert adverse patient outcomes and improve treatment adherence.

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.

Coping Strategies and Their Impact on Emotional Distress and Fatigue Among Breast Cancer Survivors: A Cross-sectional Survey

OBJECTIVES

This study examined the relations between subjective stress and strategies for coping with stress (emotion control strategies and self-compassion), as well as the relations between emotional distress and fatigue.

METHODS

The study used a cross-sectional survey design. Participants were 170 women aged 24 to 82 years with diagnoses of breast cancer stages I to III who were 1 to 12 months postchemotherapy, with no current evidence of disease and no previous cancer diagnosis. Participants were recruited by consecutive sampling, and the overall response rate was 85%.

RESULTS

Higher subjective stress was associated with higher emotional control (r = 0.23, P < 0.01), and both were associated with higher emotional distress (r = 0.63, P < 0.001; r = 0.20, P < 0.05). Lower self-compassion was associated with higher emotional distress (r = -0.20, P < 0.05). Fatigue exhibited a high association with emotional distress (r = 0.67, P < 0.001), which increased as subjective stress increased. Older age was associated with emotional control (r = 0.16, P < 0.05), whereas younger age was associated with emotional distress. Time elapsed since chemotherapy was negatively associated with both emotional distress (r = -0.19, P < 0.05) and fatigue (r = -0.18, P < 0.05). A strong positive association emerged between fatigue and emotional distress (r = 0.67, P < 0.001).

CONCLUSIONS

The results of this study underline the importance of self-compassion as a coping strategy to decrease emotional distress among breast cancer survivors.

Does exercise intensity matter for fatigue during (neo-)adjuvant cancer treatment? The Phys-Can randomized clinical trial

Exercise during cancer treatment improves cancer-related fatigue (CRF), but the importance of exercise intensity for CRF is unclear. We compared the effects of high- vs low-to-moderate-intensity exercise with or without additional behavior change support (BCS) on CRF in patients undergoing (neo-)adjuvant cancer treatment. This was a multicenter, 2x2 factorial design randomized controlled trial (Clinical Trials NCT02473003) in Sweden. Participants recently diagnosed with breast (n = 457), prostate (n = 97) or colorectal (n = 23) cancer undergoing (neo-)adjuvant treatment were randomized to high intensity (n = 144), low-to-moderate intensity (n = 144), high intensity with BCS (n = 144) or low-to-moderate intensity with BCS (n = 145). The 6-month exercise intervention included supervised resistance training and home-based endurance training. CRF was assessed by Multidimensional Fatigue Inventory (MFI, five subscales score range 4-20), and Functional Assessment of Chronic Illness Therapy-Fatigue scale (FACIT-F, score range 0-52). Multiple linear regression for main factorial effects was performed according to intention-to-treat, with post-intervention CRF as primary endpoint. Overall, 577 participants (mean age 58.7 years) were randomized. Participants randomized to high- vs low-to-moderate-intensity exercise had lower physical fatigue (MFI Physical Fatigue subscale; mean difference -1.05 [95% CI: -1.85, -0.25]), but the difference was not clinically important (ie <2). We found no differences in other CRF dimensions and no effect of additional BCS. There were few minor adverse events. For CRF, patients undergoing (neo-)adjuvant treatment for breast, prostate or colorectal cancer can safely exercise at high- or low-to-moderate intensity, according to their own preferences. Additional BCS does not provide extra benefit for CRF in supervised, well-controlled exercise interventions.

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

OBJECTIVES

To identify symptom clusters in breast cancer survivors and to determine sociodemographic and clinical characteristics influencing symptom cluster membership.

SAMPLE AND SETTING

The authors performed a cross-sectional secondary analysis of data obtained from a community-based cancer registry-linked survey with 1,500 breast cancer survivors 6-13 months following a breast cancer diagnosis.

METHODS AND VARIABLES

Symptom clusters were identified using latent class profile analysis of four patient-reported symptoms (pain, fatigue, sleep disturbance, and depression) with custom PROMIS® short forms.

RESULTS

Four distinct classes were identified.

IMPLICATIONS FOR NURSING

Common symptom clusters may lead to better prevention and treatment strategies that target a group of symptoms. Results also suggest that certain factors place patients at high risk for symptom burden, which can guide tailored interventions.

Pain mapping and characteristics in breast cancer survivors during task-oriented training: analysis at 3, 6, and 9 months

PURPOSE

To evaluate the frequency and characteristics of trunk and upper limb pain in women diagnosed with breast cancer, in different movement planes, during task-oriented training (TOT) 3, 6, and 9 months after surgery.

METHODS

A prospective cohort study with 20 women. The body pain diagram (BPD), VAS, and McGill questionnaire were used. The TOT consisted of 20 exercises based on the Disabilities of the Arm, Shoulder and Hand Questionnaire (DASH) questionnaire. BPD overlay was performed in GIMP® image editor. The chi-square test was applied to the relationship between population characteristics and pain. Freedman's ANOVA and the Cochran's Q test were used in the comparison of pain site frequencies and intensity over time.

RESULTS

In total, 297 BPDs were generated, which identified the affected upper limb as the body area with the highest frequency of pain at the three moments. However, at 9 months, the unaffected upper limb presented the same frequency as the affected limb. Radiotherapy presented a statistically significant relationship (p < 0.05) with pain at 9 months. The pain was characterized as moderate at the three moments, affective at 3 and 6 months, and sensory at 9 months.

CONCLUSION

The most frequent area of pain at 3 and 6 months was the affected upper limb however, at 9 months, the unaffected upper limb presented the same frequency of pain as the affected upper limb. Pain was characterized as moderate at the three evaluation moments.

To which extent do breast cancer survivors feel well informed about disease and treatment 5 years after diagnosis?

OBJECTIVE

In this study, we investigated to which extent patients feel well informed about their disease and treatment, which areas they wish more or less information and which variables are associated with a need for information about the disease, medical tests and treatment.

METHODS

In a German multi-centre prospective study, we enrolled 759 female breast cancer patients at the time of cancer diagnosis (baseline). Data on information were captured at 5 years after diagnosis with the European Organisation for Research and Treatment of Cancer (EORTC) Information Module (EORTC QLQ-INFO24). Good information predictors were analysed using linear regression models.

RESULTS

There were 456 patients who participated at the 5-year follow-up. They reported to feel well informed about medical tests (mean score 78.5) and the disease itself (69.3) but relatively poorly about other services (44.3) and about different places of care (31.3). The survivors expressed a need for more information concerning: side effects and long-term consequences of therapy, more information in general, information about aftercare, prognosis, complementary medicine, disease and therapy. Patients with higher incomes were better informed about medical tests (β 0.26, p 0.04) and worse informed with increasing levels of fear of treatment (β - 0.11, p 0.02). Information about treatment was reported to be worse by survivors > 70 years old (β -0.34, p 0.03) and by immigrants (β -0.11, p 0.02). Survivors who had received additional written information felt better informed about disease, medical tests, treatment and other services (β 0.19/0.19/0.20/0.25; each p < 0.01).

CONCLUSION

Health care providers have to reconsider how and what kind of information they provide. Providing written information, in addition to oral information, may improve meeting those information needs.

Low physical activity, fatigue and depression in breast cancer survivors: Moderation by levels of IL-6 and IL-8

BACKGROUND AND AIMS

Although previous studies suggested that depressed mood and fatigue among cancer survivors are associated with chronic inflammation, the effect of cytokines on the relation between physical activity and fatigue and depressed mood is characterized by inconsistent results. The aim was to examine levels of pro-inflammatory (IL-6, IL-8, TNFα, IL-12) and anti-inflammatory (IL-10) cytokines in relation to the effects of physical activity on fatigue and depressed mood.

METHODS

Breast cancer survivors (n = 108; stages I-III), aged >20 and who were 1-6 months postchemotherapy were recruited consecutively. Participants completed the Fatigue Symptom Inventory and Center for Epidemiologic Studies Depression Scale and reported physical activity details; 10 cc of blood were drawn for assessment of levels of IL-6, IL-8, IL-10, Il-12, and TNFα in serum.

RESULTS

Only IL-6 and IL-8 were associated with fatigue and depressed mood. Controlling for background variables, physical activity and IL-6 were significantly associated with fatigue, but only physical activity was significantly associated with depressed mood. A moderated effect of IL-6 and IL-8 was found in the association of physical activity and fatigue, indicating that this association is significant only in individuals with lower levels of IL-6 or IL-8.

CONCLUSIONS

Fatigue and depressed mood are differently associated with pro-inflammatory cytokines. In addition, IL-6 and IL-8 are main cytokines affected by physical activity. The study stresses the need to provide information and tailored guidance for cancer survivors for maintaining an active lifestyle into survivorship and the importance of allocating resources for programs to encourage active lifestyles among cancer survivors. Caution should be exercised in the interpretation of the results due to the cross-sectional design and possibility of bidirectional associations between the study variables.

A non-compensatory analysis of quality of life in breast cancer survivors using multivariate hidden Markov modeling

PURPOSE

Health-related quality of life (HRQoL) is a multidimensional concept comprising multiple domains such as physical, emotional, and social well-being. Many analyses use a sum score to represent the construct. However, this approach implies that gain in one domain can compensate for a deficit in another, and thus such analyses may not capture HRQoL profiles. Additionally, within-individual change over time, such as improvement in one domain but deterioration in another, may not be detected. The objectives of this research are to demonstrate the utility of a non-compensatory approach by (1) evaluating this approach applied to HRQoL data, and (2) comparing the approach to a compensatory method.

METHODS

Data from a sample of 653 breast cancer survivors (BCS) provided five measurement time points over 18 months. We analyzed the scores from five domains on the FACT-B questionnaire (physical, functional, social, and emotional well-being and breast cancer-related concerns) using the multivariate hidden Markov model (MHMM), a non-compensatory approach that identifies different HRQoL states and associated BCS subgroups and their trajectories.

RESULTS

The MHMM delineated six states. States 1 and 2 had low well-being scores across all domains, with state 2 slightly better than state 1. States 3 and 4 had similar overall HRQoL scores, but different profiles with compensation occurring across the domains of both physical and social well-being. States 5 and 6 had almost identical overall scores with compensation occurring between the domains of both social and emotional well-being. Over time, states 3-6 mostly "communicated" with each other (with moderate probabilities of transitioning between states). Compensation across domains could mask subtle changes occurring in BCS. We found that a trend analysis using both compensatory and non-compensatory approaches showed improvement in the HRQoL in BCS over time.

CONCLUSION

The non-compensatory analysis of FACT-B shows differential profiles and trajectories in the HRQoL of BCS not captured by the sum score or one-domain-at-a-time approach.

Symptom cluster of pain, fatigue, and psychological distress in breast cancer survivors: prevalence and characteristics

PURPOSE

Breast cancer survivors may experience pain, fatigue, or psychological distress as a result of the treatment. These symptoms may co-occur and form a cluster. However little is known about symptom clusters (SCs) in long-term breast cancer survivors. This study aimed to identify subgroups of breast cancer survivors with the SC of pain, fatigue, and psychological distress, and to examine sociodemographic and clinical characteristics associated with this SC.

METHODS

Data were obtained from a nationwide survey of breast cancer survivors (N = 834). Exhaustive enumeration of possible combination of the three binary variables (pain, fatigue, psychological distress) was conducted. They were identified using the recommended threshold for the Hospital Anxiety and Depression Scale, the Fatigue Questionnaire, and a score of one or more on a numeric rating scale for pain. The SC was defined to include all the three variables, all other combinations were defined as no SC. Logistic regression analyses were conducted to examine the association between sociodemographic and clinical variables and the SC.

RESULTS

Of the 834 survivors, 13% had the SC. Younger age (OR 2.3, 95% CI 1.3-4.1, p = 0.003), lymphedema (OR 1.9, 95% CI 1.1-3.2, p = 0.02), working part-time (OR 2.9, 95% CI 1.6-5.3, p < 0.001), or being disabled (OR 4.1, 95% CI 2.2-7.8, p < 0.001) were all associated with the SC.

CONCLUSION

Thirteen percent of the survivors experienced the SC. It appears that premenstrual women are at greater risk, than postmenopausal women. Having this SC might have an impact on the survivors' ability to work.

Symptom cluster of pain, fatigue, and psychological distress in breast cancer survivors: prevalence and characteristics

PURPOSE

Breast cancer survivors may experience pain, fatigue, or psychological distress as a result of the treatment. These symptoms may co-occur and form a cluster. However little is known about symptom clusters (SCs) in long-term breast cancer survivors. This study aimed to identify subgroups of breast cancer survivors with the SC of pain, fatigue, and psychological distress, and to examine sociodemographic and clinical characteristics associated with this SC.

METHODS

Data were obtained from a nationwide survey of breast cancer survivors (N = 834). Exhaustive enumeration of possible combination of the three binary variables (pain, fatigue, psychological distress) was conducted. They were identified using the recommended threshold for the Hospital Anxiety and Depression Scale, the Fatigue Questionnaire, and a score of one or more on a numeric rating scale for pain. The SC was defined to include all the three variables, all other combinations were defined as no SC. Logistic regression analyses were conducted to examine the association between sociodemographic and clinical variables and the SC.

RESULTS

Of the 834 survivors, 13% had the SC. Younger age (OR 2.3, 95% CI 1.3-4.1, p = 0.003), lymphedema (OR 1.9, 95% CI 1.1-3.2, p = 0.02), working part-time (OR 2.9, 95% CI 1.6-5.3, p < 0.001), or being disabled (OR 4.1, 95% CI 2.2-7.8, p < 0.001) were all associated with the SC.

CONCLUSION

Thirteen percent of the survivors experienced the SC. It appears that premenstrual women are at greater risk, than postmenopausal women. Having this SC might have an impact on the survivors' ability to work.

The impact of health symptoms on health-related quality of life in early-stage breast cancer survivors

PURPOSE

In breast cancer patients, treatment-related health symptoms can occur that may affect their health-related quality of life (HRQoL). This study aimed to determine the impact of health symptoms on HRQoL in breast cancer patients up to 5 years after diagnosis.

METHODS

Females surgically treated for early-stage breast cancer diagnosed between 2012 and 2016 (n = 876) were selected from the Netherlands Cancer Registry and invited for a survey about current health symptoms ('Symptoms and Perceptions questionnaire', SaP) and HRQoL ('EORTC-QLQ-C30'). From the latter, functioning and global health were included. Mean scores were compared to norm population scores (T test). Multivariable linear regression analyses were performed to determine the association between health symptoms and global health and functioning.

RESULTS

404 patients (46%) responded. The median age was 62.2 ± 10.9 years. Respondents had significantly lower mean scores for role, cognitive, emotional, and social functioning than the general population. The most frequently reported health symptoms were musculoskeletal (including pain/complaints in lower/upper extremities/back/neck; 71%) and central nervous system symptoms (including concentration impairment, dizziness, neuralgia; 66%), and fatigue (63%). While most symptoms affected functioning, irrespective of time since diagnosis, especially fatigue, musculoskeletal, central nervous system, and gastrointestinal symptoms were significantly associated (p < 0.05) with lower functioning.

CONCLUSIONS

The majority of health symptoms that occur after breast cancer treatment were associated with lower functioning of patients in daily life. This paper urges healthcare providers to support breast cancer patients in alleviating or coping with health symptoms, even years after end of treatment, to improve their functioning.

Yoga for symptom management in oncology: A review of the evidence base and future directions for research

Because yoga is increasingly recognized as a complementary approach to cancer symptom management, patients/survivors and providers need to understand its potential benefits and limitations both during and after treatment. The authors reviewed randomized controlled trials (RCTs) of yoga conducted at these points in the cancer continuum (N = 29; n = 13 during treatment, n = 12 post-treatment, and n = 4 with mixed samples). Findings both during and after treatment demonstrated the efficacy of yoga to improve overall quality of life (QOL), with improvement in subdomains of QOL varying across studies. Fatigue was the most commonly measured outcome, and most RCTs conducted during or after cancer treatment reported improvements in fatigue. Results also suggested that yoga can improve stress/distress during treatment and post-treatment disturbances in sleep and cognition. Several RCTs provided evidence that yoga may improve biomarkers of stress, inflammation, and immune function. Outcomes with limited or mixed findings (eg, anxiety, depression, pain, cancer-specific symptoms, such as lymphedema) and positive psychological outcomes (such as benefit-finding and life satisfaction) warrant further study. Important future directions for yoga research in oncology include: enrolling participants with cancer types other than breast, standardizing self-report assessments, increasing the use of active control groups and objective measures, and addressing the heterogeneity of yoga interventions, which vary in type, key components (movement, meditation, breathing), dose, and delivery mode.

How Theory Can Help Facilitate Implementing Relaxation as a Complementary Pain Management Approach

Complementary therapies provide cancer survivors and clinicians with options for managing chronic pain. Recent published clinical guidelines and research findings support the use of relaxation therapy for managing chronic pain in cancer survivors. However, translating research findings into clinical practice remains a challenge. Using theory to guide implementation of a new practice can increase the likelihood of successful adoption. This article uses relaxation therapy for cancer survivors to describe how clinicians could use Rogers' Diffusion of Innovation Theory and the related Collaborative Research Utilization Model to implement a complementary therapy and ensure that it becomes standard practice.

Concordance networks and application to clustering cancer symptomology

Symptoms of complex illnesses such as cancer often present with a high degree of heterogeneity between patients. At the same time, there are often core symptoms that act as common drivers for other symptoms, such as fatigue leading to depression and cognitive dysfunction. These symptoms are termed bridge symptoms and when combined with heterogeneity in symptom presentation, are difficult to detect using traditional unsupervised clustering techniques. This article develops a method for identifying patient communities based on bridge symptoms termed concordance network clustering. An empirical study of breast cancer symptomatology is presented, and demonstrates the applicability of this method for identifying bridge symptoms.

It is not just menopause: symptom clustering in the Study of Women's Health Across the Nation

Background

Patterns of symptom clustering in midlife women may suggest common underlying mechanisms or may identify women at risk of adverse health outcomes or, conversely, likely to experience healthy aging. This paper assesses symptom clustering in the Study of Women’s Health Across the Nation (SWAN) longitudinally by stage of reproductive aging and estimates the probability of women experiencing specific symptom clusters. We also evaluate factors that influence the likelihood of specific symptom clusters and assess whether symptom clustering is associated with women’s self-reported health status.

Methods

This analysis includes 3289 participants in the multiethnic SWAN cohort who provided information on 58 symptoms reflecting a broad range of physical, psychological and menopausal symptoms at baseline and 7 follow-up visits over 16 years. We conducted latent transition analyses to assess symptom clustering and to model symptomatology across the menopausal transition (pre, early peri-, late peri- and post-menopausal). Joint multinomial logistic regression models were used to identify demographic characteristics associated with premenopausal latent class membership. A partial proportional odds regression model was used to assess the association between latent class membership and self-reported health status.

Results

We identified six latent classes that ranged from highly symptomatic (LC1) across most measured symptoms, to moderately symptomatic across most measured symptoms (LC2), to moderately symptomatic for a subset of symptoms (vasomotor symptoms, pain, fatigue, sleep disturbances and physical health symptoms) (LC3 and LC5) with one class (LC3) including interference in life activities because of physical health symptoms, to numerous milder symptoms, dominated by fatigue and psychological symptoms (LC4), to relatively asymptomatic (LC6). In pre-menopause, 10% of women were classified in LC1, 16% in LC2, 14% in LC3 and LC4, 26% in LC5, and 20% in LC6. Intensity of vasomotor and urogenital symptoms as well as sexual desire) differed minimally by latent class. Classification into the two most symptomatic classes was strongly associated with financial strain, White race/ethnicity, obesity and smoking status. Over time, women were most likely to remain within the same latent class as they transitioned through menopause stages (range 39–76%), although some women worsened or improved. The probability of moving between classes did not differ substantially by menopausal stage. Women in the highly symptomatic classes more frequently rated their health as fair to poor compared to women in the least symptomatic class.

Conclusion

Clear patterns of symptom clustering were present early in midlife, tended to be stable over time, and were strongly associated with self-perceived health. Notably, vasomotor symptoms tended to cluster with sleep disturbances and fatigue, were present in each of the moderate to highly symptomatic classes, but were not a defining characteristic of the symptom clusters. Clustering of midlife women by symptoms may suggest common underlying mechanisms amenable to interventions. Given that one-quarter of midlife women were highly or moderately symptomatic across all domains in the pre-menopause, addressing symptom burden in early midlife is likely critical to ameliorating risk in the most vulnerable populations.

Electronic supplementary material

The online version of this article (doi:10.1186/s40695-017-0021-y) contains supplementary material, which is available to authorized users.