Trajectories of depressive symptoms following breast cancer diagnosis

Detection of differences in physical symptoms between depressed and undepressed patients with breast cancer: a study using K-medoids clustering

BACKGROUND

To detect the differences in physical symptoms between depressed and undepressed patients with breast cancer (BC), including common symptoms, co-occurring symptoms, and symptom clusters based on texts derived from social media and expressive writing.

METHODS

A total of 1830 texts from social media and expressive writing were collected. The Chi-square test was used to compare the frequency of physical symptoms between depressed and undepressed patients with BC. Symptom lexicon of BC and K-medoids Clustering were used for mining physical symptoms and cluster analysis.

RESULTS

The common physical symptoms reported by texts included general pains (59.38%), fatigue (26.60%), vomiting (24.82%), swelling of limbs (21.69%), difficulty sleeping (21.56%), nausea (16.78%), alopecia (15.14%), loss of appetite (13.78%), dizziness (11.60%), and concentration problems (11.19%). The frequency of difficulty sleeping (depressed 28.40%; undepressed 18.16%; P = 0.002) in depressed patients was higher than undepressed patients with BC. High co-occurrence was observed in both commonly mentioned symptoms and those less commonly mentioned but frequently co-occurring with them. There were 5 symptom clusters identified in depressed patients and 6 symptom clusters in undepressed patients. Pain-related symptom cluster and gastrointestinal symptom cluster were both identified in the depressed and undepressed patients. The novel immune system impairment symptom cluster consisting of bleeding and fever was found in the undepressed patients.

CONCLUSIONS

This study found that difficulty sleeping was reported more frequently, and identified difficulty sleeping-pain symptom cluster in depressed patients. The novel immune system impairment symptom cluster in undepressed patients was detected. Healthcare providers can provide targeted care to depressed and undepressed patients based on these differences. These findings demonstrate that social media can provide new perspectives on symptom experiences. The combination of digital tools and traditional clinical tools for symptom management in follow-up has great potential in the future.

CLINICAL TRIAL NUMBER

Not applicable.

Course of Mental Disorders in Early Cancer Survivorship in Relation to Socioeconomic Status: A Multi-Center Prospective Longitudinal Study (LUPE)

OBJECTIVE

Individuals with low socioeconomic status (SES) exhibit higher rates of mental disorders; however, data in oncological populations are insufficient. This study investigated the course of DSM-5 mental disorders in cancer patients, stratified by SES, over a period of 1.5 years following initial cancer diagnosis.

METHODS

This multi-center prospective longitudinal study assessed cancer patients within two months of cancer diagnosis (t1), and at 6-, 12-, and 18-month follow-up (t2-t4) using the SCID-5 interview for mental disorders based on DSM-5 criteria. Chi-square-tests were tested for frequency changes over time. A generalized linear mixed model (GLMM) was applied with fixed effects for SES and time on mental disorders.

RESULTS

Out of 1030 patients with a SCID-5 at baseline (53.2% men, 60 years), 821, 719 and 654 participated at respective follow-ups. The most common diagnoses were skin and prostate cancer. Point prevalence of mental disorders was 20.9% at baseline, decreasing to 18.2%, 14.6%, and 15.0% (t2-t4; χ2 (3) = 15.3, p = 0.002). Patients with low SES consistently showed highest prevalence rates, whereas patients with high SES showed decreasing rates of mental disorders over time, with a main effect of time (χ2 (3) = 19.9, p < 0.001) and SES (χ2 (2) = 8.8, p = 0.01) in the GLMM. Two thirds never met diagnostic criteria for a mental disorder. Sensitivity analysis among study completers (n = 592) revealed a similar pattern to the main analysis.

CONCLUSIONS

Cancer patients with low SES exhibit impaired coping with cancer-related stressors, increasing their risk for mental disorders. Social disparities affect physical and mental health, possibly via health behavior or health literacy, and need to be addressed by tailored survivorship care planning.

Brain Connectomics Improve the Prediction of High-Risk Depression Profiles in the First Year following Breast Cancer Diagnosis

Background. Prediction of high-risk depression trajectories in the first year following breast cancer diagnosis with fMRI-related brain connectomics is unclear. Methods. The Be Resilient to Breast Cancer (BRBC) study is a multicenter trial in which 189/232 participants (81.5%) completed baseline resting-state functional magnetic resonance imaging (rs-fMRI) and four sequential assessments of depression (T0-T3). The latent growth mixture model (LGMM) was utilized to differentiate depression profiles (high vs. low risk) and was followed by multivoxel pattern analysis (MVPA) to recognize distinct brain connectivity patterns. The incremental value of brain connectomics in the prediction model was also estimated. Results. Four depression profiles were recognized and classified into high-risk (delayed and chronic, 14.8% and 12.7%) and low-risk (resilient and recovery, 50.3% and 22.2%). Frontal medial cortex and frontal pole were identified as two important brain areas against the high-risk profile outcome. The prediction model achieved 16.82-76.21% in NRI and 12.63-50.74% in IDI when brain connectomics were included. Conclusion. Brain connectomics can optimize the prediction against high-risk depression profiles in the first year since breast cancer diagnoses.

The dynamic buffering of social support on depressive symptoms and cancer worries in patients seeking cancer genetic counseling

PURPOSE

Social support is a crucial protective factor against psychological concerns in patients with cancer. However, there is limited knowledge regarding the differential impacts of social support on cancer worries and depressive symptoms in patients undergoing genetic counseling for hereditary cancer. The current study utilized a high-volume database from a multi-site cancer genetics clinic to assess the impact of perceived social support on depressive symptoms and cancer worries among patients of different age groups (young versus older patients) and diagnosis status (diagnosed survivors versus undiagnosed).

METHODS

6,666 patients completed brief assessments of depressive symptoms, cancer worries, social support, and demographic questionnaires as part of routine clinical care between October 2016 and October 2020. Logistics and moderated regression were used to analyze the relationships between social support, depressive symptoms, and cancer worries.

RESULTS

Increased social support was associated with fewer depressive symptoms and fewer cancer worries across all patients. Social support mitigated depressive symptoms most significantly for young adult patients with and without cancer. Social support mitigated cancer worries most significantly for young adults with cancer and older adults without cancer.

CONCLUSIONS

While results were mixed, general findings upheld original hypotheses. Social support buffered depressive symptoms and cancer worries differentially for patients of different ages and different disease status.

IMPLICATIONS FOR CANCER SURVIVORS

Social support groups are beneficial for all patients and should be emphasized by cancer clinics. However, increasing patient-tailored and age-appropriate support networks will be crucial for managing depression and cancer worries for high-risk survivors: young adults with cancer.

Depressive symptom trajectories in older breast cancer survivors: the Thinking and Living with Cancer Study

PURPOSE

To identify trajectories of depressive symptoms in older breast cancer survivors and demographic, psychosocial, physical health, and cancer-related predictors of these trajectories.

METHODS

Recently diagnosed nonmetastatic breast cancer survivors (n = 272), ages 60-98 years, were evaluated for depressive symptoms (Center for Epidemiological Studies Depression Scale, CES-D; scores ≥16 suggestive of clinically significant depressive symptoms). CES-D scores were analyzed in growth-mixture models to determine depression trajectories from baseline (post-surgery, pre-systemic therapy) through 3-year annual follow-up. Multivariable, multinomial logistic regression was used to identify baseline predictors of depression trajectories.

RESULTS

Survivors had three distinct trajectories: stable (84.6%), emerging depressive symptoms (10.3%), and recovery from high depressive symptoms at baseline that improved slowly over time (5.1%). Compared to stable survivors, those in the emerging (OR = 1.16; 95% CI = 1.08-1.23) or recovery (OR = 1.26; 95% CI = 1.15-1.38) groups reported greater baseline anxiety. Greater baseline deficit accumulation (frailty composite measure) was associated with emerging depressive symptoms (OR = 3.71; 95% CI = 1.90-7.26). Less social support at baseline (OR = 0.38; 95% CI = 0.15-0.99), but greater improvement in emotional (F = 4.13; p = 0.0006) and tangible (F = 2.86; p = 0.01) social support over time, was associated with recovery from depressive symptoms.

CONCLUSIONS

Fifteen percent of older breast cancer survivors experienced emerging or recovery depressive symptom trajectories. Baseline anxiety, deficit accumulation, and lower social support were associated with worse outcomes.

IMPLICATIONS FOR CANCER SURVIVORS

Our results emphasize the importance of depression screening throughout the course of cancer care to facilitate early intervention. Factors associated with depressive symptoms, including lower levels of social support proximal to diagnosis, could serve as intervention levers.

Breast cancer survivors with pain: an examination of the relationships between body mass index, physical activity, and symptom burden

PURPOSE

Overweight and obesity are common for breast cancer survivors and associated with high symptom burden (i.e., pain, fatigue, depressive symptoms). Physical activity may protect breast cancer survivors with higher body mass indexes (BMI) from increased symptoms. However, the role of physical activity in buffering the relationship between higher BMI and greater symptoms is unclear.

METHODS

Baseline data from a randomized trial investigating Pain Coping Skills Training among breast cancer survivors (N = 327) with pain were used to examine the relationship between self-reported BMI (kg/m2) and physical activity level (Rapid Assessment of Physical Activity; suboptimal vs. optimal) with pain (Brief Pain Inventory; severity and interference), fatigue (PROMIS-Fatigue short form), and depressive symptoms (Center for Epidemiological Studies Depression Scale). Analyses were conducted in SPSS. Hayes PROCESS macro (Model 1) assessed whether physical activity moderated the relationship between BMI and symptoms.

RESULTS

Lower BMI (B = .06, p < .01) and optimal physical activity (B =  - .69, p < .01) were independently associated with lower pain interference. Lower BMI was also associated with lower pain severity (B = .04, p < .001). Neither BMI nor physical activity was associated with fatigue or depressive symptoms. Physical activity did not moderate the relationship between BMI and symptoms.

CONCLUSIONS

Among breast cancer survivors experiencing pain, higher BMI and being less physically active were related to greater pain (i.e., severity and/or interference). Physical activity did not buffer the relationships between BMI and pain, fatigue, and depressive symptoms, suggesting that physical activity alone may not be sufficient to influence the strength of the relationships between BMI and symptoms.

Multimorbidity and Depressive Symptoms in Older Adults: A Contextual Approach

BACKGROUND AND OBJECTIVES

Among older adults, depressive symptoms increase with each chronic illness; however, specific disease-related stressors (e.g., pain) and contextual moderators (interpersonal, sociocultural, temporal) of this relationship remain understudied. We explored disease-related stressors associated with depressive symptoms and moderating effects of contextual factors on this relationship, guided by a social ecological framework.

RESEARCH DESIGN AND METHODS

Adults ≥62 years with multimorbidity (n = 366) completed validated scales assessing diagnoses, disease-related stressors (pain intensity, subjective cognitive function, physical function, somatic symptoms), and depressive symptoms. Moderators included age, expectations regarding aging, perceived social support, and difficulty affording medications. Data were analyzed using structural equation modeling.

RESULTS

Participants were 62-88 years old, with several comorbidities (M = 3.5; range: 2-9). As hypothesized, disease-related stressors were associated with depressive symptoms (b = 0.64, SE = 0.04, p < .001). The effect of disease-related stressors on depressive symptoms was greater among those reporting low social support (B = 0.70, SE = 0.06, p < .001) than for those reporting high social support (B = 0.46, SE = 0.06, p < .001). The negative effect of disease-related stressors on depressive symptoms was stronger for those with poorer expectations of aging (B = 0.68, SE = 0.07, p < .001), compared to those with more positive expectations (B = 0.47, SE = 0.06, p < .001). Age and difficulties affording medications were not significant moderators.

DISCUSSION AND IMPLICATIONS

Garnering social support and addressing low expectations for aging may prevent the detrimental effect of multimorbidity on mental health.

Psychological Aspects of Breast Cancer

Breast cancer is the most commonly diagnosed cancer in women. Associated psychological symptoms include stress, adjustment difficulties, anxiety, depression, impaired cognitive function, sleep disturbances, altered body image, sexual dysfunction, and diminished overall well-being. Distress screening and assessment identifies women who will benefit from therapeutic interventions. Addressing these symptoms improves compliance with treatment and outcomes including disease-related outcomes, psychological symptoms, and quality of life. The most effective treatments include teaching coping skills such as expressing emotion, along with other structured cognitive behavioral, interpersonal, and mindfulness approaches. Patients should be provided these psychosocial supports throughout their cancer journey.

The Impact of Psychiatric Diagnoses on Patient-reported Satisfaction and Quality of Life in Postmastectomy Breast Reconstruction

OBJECTIVE

The purpose of this study was to determine the prevalence of psychiatric diagnoses among a sample of breast reconstruction patients and measure the association between these diagnoses and reconstruction-related, patient-reported outcomes.

BACKGROUND

The impact of psychiatric disorders in conjunction with breast cancer diagnosis, treatment, and reconstruction have the potential to cause significant patient distress but remains not well understood.

METHODS

A retrospective review of postmastectomy breast reconstruction patients from 2007 to 2018 at Memorial Sloan Kettering Cancer Center was conducted. Patient demographics, comorbidities, cancer characteristics, psychiatric diagnoses, and BREAST-Q Reconstruction Module scores (measuring satisfaction with breast, well-being of the chest, psychosocial, and sexual well-being) at postoperative years 1 to 3 were examined. Mixed-effects models and cross-sectional linear regressions were conducted to measure the effect of psychiatric diagnostic class type and number on scores.

RESULTS

Of 7414 total patients, 50.1% had at least 1 psychiatric diagnosis. Patients with any psychiatric diagnoses before reconstruction had significantly lower BREAST-Q scores for all domains at all time points. Anxiety (50%) and depression (27.6%) disorders were the most prevalent and had the greatest impact on BREAST-Q scores. Patients with a greater number of psychiatric diagnostic classes had significantly worse patient-reported outcomes compared with patients with no psychiatric diagnosis. Psychosocial (β: -7.29; 95% confidence interval: -8.67, -5.91), and sexual well-being (β: -7.99; 95% confidence interval: -9.57, -6.40) were most sensitive to the impact of psychiatric diagnoses.

CONCLUSIONS

Mental health status is associated with psychosocial and sexual well-being after breast reconstruction surgery as measured with the BREAST-Q. Future research will need to determine what interventions (eg, screening, early referral) can help improve outcomes for breast cancer patients with psychiatric disorders undergoing breast reconstruction.

Job loss, return to work, and multidimensional well-being after breast cancer treatment in working-age Black and White women

PURPOSE

Breast cancer survivorship has improved in recent decades, but few studies have assessed the patterns of employment status following diagnosis and the impact of job loss on long-term well-being in ethnically diverse breast cancer survivors. We hypothesized that post-treatment employment status is an important determinant of survivor well-being and varies by race and age.

METHODS

In the Carolina Breast Cancer Study, 1646 employed women with primary breast cancer were longitudinally evaluated for post-diagnosis job loss and overall well-being. Work status was classified as "sustained work," "returned to work," "job loss," or "persistent non-employment." Well-being was assessed by the Functional Assessment of Cancer Therapy (FACT-G) instrument. Analysis of covariance was used to evaluate the association between work status and well-being (physical, functional, social, and emotional).

RESULTS

At 25 months post-diagnosis, 882 (53.6%) reported "sustained work," 330 (20.1%) "returned to work," 162 (9.8%) "job loss," and 272 (16.5%) "persistent non-employment." Nearly half of the study sample (46.4%) experienced interruptions in work during 2 years post-diagnosis. Relative to baseline (5-month FACT-G), women who sustained work or returned to work had higher increases in all well-being domains than women with job loss and persistent non-employment. Job loss was more common among Black than White women (adjusted odds ratio = 3.44; 95% confidence interval 2.37-4.99) and was associated with service/laborer job types, lower education and income, later stage at diagnosis, longer treatment duration, and non-private health insurance. However, independent of clinical factors, job loss was associated with lower well-being in multiple domains.

CONCLUSIONS

Work status is commonly disrupted in breast cancer survivors, but sustained work is associated with well-being. Interventions to support women's continued employment after diagnosis are an important dimension of breast cancer survivorship.

IMPLICATIONS FOR CANCER SURVIVORS

Our findings indicate that work continuation and returning to work may be a useful measure for a range of wellbeing concerns, particularly among Black breast cancer survivors who experience greater job loss.

Identifying and Reducing Barriers to Breast Imaging

Purpose of Review

The purpose of this review is to discuss disparities in breast health care access and outcomes related to race, gender, cultural diversity, sexual orientation, socioeconomic status, geographic location, and disability. The authors recognize the complexity of eliminating inequalities in health care but are optimistic that all patients will one day have equal access to care through dialogue, acknowledgment, recognition, and action.

Recent Findings

After lung cancer, breast cancer is the second leading cause of death among American women. Mammography as a preventative screening tool has resulted in significant reductions in breast cancer mortality. Despite existing breast cancer recommendations, it has been projected that 43,250 women will die from breast cancer in 2022.

Summary

Disparities in healthcare outcomes exist for many reasons including inequalities based on race, gender, cultural diversity, religion, sexual orientation, and socioeconomic status. Disparities, no matter how large or complex, are not insurmountable.

Associations Between Demographic, Clinical, and Symptom Characteristics and Stress in Oncology Patients Receiving Chemotherapy

BACKGROUND

Patients undergoing cancer treatment experience global stress and cancer-specific stress. Both types of stress are associated with a higher symptom burden.

OBJECTIVE

In this cross-sectional study, we used a comprehensive set of demographic, clinical, and symptom characteristics to evaluate their relative contribution to the severity of global and cancer-specific stress.

METHODS

Patients (N = 941) completed study questionnaires before their second or third cycle of chemotherapy.

RESULTS

Consistent with our a priori hypothesis, we found both common and distinct characteristics associated with higher levels of global stress and cancer-specific stress. A significant proportion of our patients had scores on the Impact of Event Scale-Revised suggestive of subsyndromal (29.4%) or probable (13.9%) posttraumatic stress disorder. Four of the 5 stepwise linear regression analyses for the various stress scales explained between 41.6% and 54.5% of the total variance. Compared with various demographic and clinical characteristics, many of the common symptoms associated with cancer and its treatments uniquely explained a higher percentage of the variance in the various stress scales. Symptoms of depression made the largest unique contribution to the percentage of total explained variance across all 5 scales.

CONCLUSION

Clinicians need to assess for global stress, cancer-specific stress, and depression in patients receiving chemotherapy.

IMPLICATIONS FOR PRACTICE

Patients may benefit from integrative interventions (eg, mindfulness-based stress reduction, cognitive behavioral therapy, acupuncture) that simultaneously address stress and symptoms commonly associated with cancer and its treatments.

Associations of body image with depressive symptoms and PTG among breast cancer patients: The mediating role of social support

Background

Cancer diagnosis and treatment usually trigger positive and negative psychological health outcomes. Social support is a coping resource for psychological health outcomes. However, little research is available on the relationships between social support, body image, and overall psychological health outcomes in breast cancer (BC) patients. This study aimed to estimate the prevalence of depressive symptoms and post-traumatic growth (PTG) and examine the mediating roles of social support between body image and depressive symptoms and PTG among BC patients, respectively.

Methods

A cross-sectional study was conducted in the Northeast China from December 2015 to August 2017. All the participants were diagnosed with BC and underwent surgery. This study was conducted with 405 BC patients from the First Affiliated Hospital of China Medical University. Participants completed the Center for Epidemiologic Studies Depression scale, Post Traumatic Growth Inventory, Body Image Scale, and Perceived Social Support Scale. The associations of social support, body image with depressive symptoms, and PTG were examined by hierarchical linear regression analysis. Asymptotic and resampling strategies were used to explore the mediating role of social support.

Results

The prevalence of depressive symptoms was 88.1%, and 67.2% of the patients had moderate-high PTG, 52.84% of the patients had body concerns, and 264 (65.19%) patients had high-level social support. Body image was positively associated with depressive symptoms (β = 0.445, P < 0.001) and social support was negatively associated with depressive symptoms (β = −0.219, P < 0.001). Body image was negatively associated with PTG (β = −0.095, P = 0.023), whereas social support was positively associated with PTG (β = 0.533, P < 0.001). Social support significantly mediated the associations among body image, depressive symptoms (effect size = 0.057), and PTG (effect size = −0.304), respectively.

Conclusions

Social support played mediating role in the relationships between body image and depressive symptoms and PTG. The interventions based on social support and body image should be included in psychological health prevention.

Suicide and women living with and beyond a breast cancer diagnosis

Early diagnosis and intervention, and the use of targeted cancer treatments, have significantly reduced mortality from breast cancer. Emotional distress following a diagnosis of cancer is a normal and anticipated, but it may manifest in some individuals at some point as a level of anxiety or depression that significantly affects quality of life and coping. In extreme cases, these feelings can move from physical symptoms of low energy and an inability to complete basic tasks to despair and hopelessness. Confronting a cancer diagnosis is a life-changing experience, bringing a sense of vulnerability. This may create or precipitate a crisis that threatens to overwhelm a person, resulting in a negative impact on established coping mechanisms. There appears to be a paucity of literature on suicide or suicide attempts by people living with and beyond a cancer diagnosis. A literature search identified 19 papers on suicide and or suicide ideation in patients who had had a cancer diagnosis, which were included in the review. Two clear themes emerged from the literature: that a cancer diagnosis with or without pre-existing mental health comorbidities is a risk factor for suicide; and that there is a significant incidence and prevalence of anxiety and depression in cancer patient populations. The literature identifies multiple variables that impact on prevalence of mental health disorders after a breast cancer diagnosis. Despite this, there appears to be a lack of guidance at national level for screening for mental health comorbidities in patients with a cancer diagnosis.

Group-based trajectory and predictors of anxiety and depression among Chinese breast cancer patients

Background

The aim of the current study is to investigate the change in anxiety and depression amongst Chinese breast cancer patients and to identify causal associations between baseline variables and the trajectory of anxiety and depression within this identified group.

Methods

This is a longitudinal prospective study. Three hundred women with breast cancer were recruited. Patient's depression and anxiety were repeatedly measured by PHQ-9 and GAD-7 at baseline, 6, 12, and 18 months after discharge. The SAS 9.4 PROC Traj procedure was used to examine the group-based trajectory of these recruited patients. Linear mixed models (LMM) were utilized to examine anxiety/depression changes over time, accounting for relevant baseline demographic and clinical factors.

Results

About 26.3% of the participants reported none or very mild anxiety over time, 60.7% reported stable low-level anxiety, and the remaining 13.0% showed significantly decreasing trend in GAD total scores. Meanwhile, 10.7% of the participants reported none or very mild depressive symptoms over time, 66.0% reported stable PHQ total scores throughout the research period, and 23.3% were classified as the "high level-decreasing group". Patients reported significantly higher anxiety and depression scores in the first three assessments. Participants with no or mild life stress along with a positive personality tended to report lower anxiety and depression scores over time.

Conclusion

Most of the breast cancer patients reported stable low-level anxiety and depression 18 months after discharge. Early assessment of optimism and stress levels among cancer patients might help identify people at risk of experiencing long-term anxiety and depression.

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.

Supportive care needs and psychosocial outcomes of rural versus urban women with breast cancer

OBJECTIVE

To identify whether supportive care needs vary according to remoteness and area-level socio-economic status (SES) and to identify the combinations of socio-demographic, area-level and health factors that are associated with poorer quality of life, psychological distress and severity of unmet supportive care needs METHODS: Cross sectional data was collected from women with a breast cancer diagnosis (n=2,635) in Queensland, Australia, through a telephone survey including socio-demographic, health, psychosocial and supportive care needs measures. Hierarchical regression and cluster analyses were applied to assess the predictors of unmet need and psychosocial outcomes and to identify socio-demographic and health status profiles of women, comparing their level of unmet needs and psychosocial outcomes.

RESULTS

Women living in outer regional areas reported the highest severity of unmet need in the patient care domain. Greater unmet need for health systems and information and patient care was also evident for those in moderately and most disadvantaged areas. Three clusters were identified reflecting (1) older women with poorer health and lower education (19%); (2) younger educated women with better health and private insurance (61%); and (3) physically active women with localised cancer who had completed treatment (20%). Poorer outcomes were evident in the first two of these clusters.

CONCLUSIONS

This better understanding of the combinations of characteristics associated with poorer psychosocial outcomes and higher unmet need can be used to identify women with higher supportive care needs early and to target interventions. This article is protected by copyright. All rights reserved.

An examination of depression, anxiety, and fear of recurrence among cancer survivors who participated in a virtual cognitive behavioral therapy (CBT)-based telephone coaching program

BACKGROUND

Depression, anxiety, and fear of recurrence (FOR) are prevalent among cancer survivors, and it is recommended that they have access to supportive services and resources to address psychosocial needs during follow-up care. This study examined the impact of a virtual cognitive behavioral therapy (CBT)-based telephone coaching program (BounceBack®) on depression, anxiety, and FOR.

METHOD

Through the After Cancer Treatment Transition (ACTT) clinic at the Women's College Hospital (Toronto, Canada), eligible participants were identified, consented, and referred to the BounceBack® program. Program participation involved completion of self-selected online workbooks and support from trained telephone coaches. Measures of depression (PHQ-9), anxiety (GAD-7), and FOR (fear of cancer recurrence inventory, FCRI) were collected at pre-intervention (baseline) and post-intervention (6-month and 12-month time points). For each psychosocial measure, paired t-tests compared mean scores between study time points. Participant experiences and perceptions were collected through a survey.

RESULTS

Measures of depression and anxiety significantly improved among participants from pre-intervention to post-intervention. Scores for PHQ-9 and GAD-7 decreased from moderate to mild levels. Measure of FOR also significantly improved, while FCRI sub-scale scores significantly improved for 5 of the 7 factors that characterize FOR (triggers, severity, psychological distress, functional impairment, insight). Participants rated the intervention a mean score of 7 (out of 10), indicating a moderate level of satisfaction and usefulness.

CONCLUSION

This study suggested that a virtual CBT-based telephone coaching program can be an effective approach to managing depression, anxiety, and fear of recurrence in cancer survivors.

Characterization of Depressive Symptoms Trajectories After Breast Cancer Diagnosis in Women in France

Importance

Breast cancer (BC) diagnosis and treatment expose patients to a 5-fold higher risk of depression compared with the general population, with an estimated prevalence of 10% to 25%. A depressive episode in patients with BC has implications for the tolerance of and adherence to treatment, impairing quality of life and reducing life expectancy.

Objective

To identify and characterize distinct longitudinal patterns of depressive symptoms in patients with BC from diagnosis to 3 years after treatment.

Design, Settings, and Participants

The CANTO-DEePRESS (Deeper in the Understanding and Prevention of Depression in Breast Cancer Patients) cohort study included women in the French multicenter CANTO (CANcer TOxicities) cohort study (conducted between March 20, 2012 and December 11, 2018), who were 18 years or older with invasive stage I to III BC and no previous BC treatment. The study aimed to characterize toxicities over a 5-year period following stage I to III primary BC treatment. Assessments of depressive symptoms were performed on a subset of patients with available data at diagnosis and at least 2 other time points. All data were extracted from the CANTO database on October 1, 2020.

Main Outcomes and Measures

The primary outcome was the level of depressive symptoms at each assessment time point measured with the Hospital Anxiety and Depression Scale and depression subscale at BC diagnosis and at 3 to 6, 12, and 36 months after the end of treatment. The group-based trajectory modeling was used to identify trajectory groups, and multinomial logistic regression models were used to characterize the following factors associated with trajectory group affiliation: demographic, socioeconomic, clinical, lifestyle, and quality-of-life data.

Results

A total of 4803 women (mean [SD] age, 56.2 [11.2] years; 2441 patients [50.8%] with stage I BC) were included in the study. Six trajectory groups that described the heterogeneity in the expression of depressive symptoms were identified: noncases with no expression of symptoms (n = 2634 [54.8%]), intermediate worsening (1076 [22.4%]), intermediate improvement (480 [10.0%]), remission (261 [5.4%]), delayed occurrence (200 [4.2%]), and stable depression (152 [3.2%]). HADS-D scores at diagnosis were consistently associated with the 5 depressive trajectory group affiliations, with an estimated higher probability per point increase of experiencing subthreshold or clinically significant depressive symptoms between diagnosis and the 3 years after the end of BC treatment. The higher probabilities ranged from 1.49 (95% CI, 1.43-1.54) for the intermediate worsening group to 10.53 (95% CI, 8.84-12.55) for the stable depression group. Trajectory groups with depressive symptoms differed from the noncases group without symptoms by demographic and clinical factors, such as having dependent children, lower household income, cancer stage, family history of BC, previous psychiatric hospitalizations, obesity, smoking status, higher levels of fatigue, and depression at diagnosis.

Conclusions and Relevance

In this cohort study, nearly a third of patients with BC experienced temporary or lasting significant depressive symptoms during and after treatment. Improving early identification of women at risk of developing long-term or delayed depression is therefore critical to increase quality of life and overall survival. Subjected to validation, this study is an important first step toward personalized care of patients with BC at risk of depression.

Prevalence and determinants of anxiety and depression in long-term breast cancer survivors

BACKGROUND

There is a significant number of long-term breast cancer survivors in Germany. However, research on the psychological challenges of cancer survivors is limited. This analysis describes prevalence, development and determinants of depression and anxiety 5 to 6 years after diagnosis and identifies predictors for an increase of anxiety and depression over time.

METHODS

Data from 164 women was collected by survey and tumour documentation during post-operative hospital stay, 40 weeks and 5 to 6 years after diagnosis. Anxiety and depression were measured by the Hospital Anxiety and Depression Scale. Sankey-diagrams were created for visual presentation of prevalence over time. Logistic and linear regression models were calculated to identify determinants of anxiety and depression.

RESULTS

Respondents had higher levels of depression and anxiety 5 to 6 years than 40 weeks after the diagnosis. Lower vocational status and having children were associated with depression, surgery type was correlated with anxiety, and age, as well as comorbidities, were predictors for both anxiety and depression 5 to 6 years after diagnosis. An increase of depression over time was more likely when having children and comorbidities. An increase in anxiety was less likely after cancer recurrence.

CONCLUSIONS

Findings highlight that anxiety and depression are relevant burdens for breast cancer survivors in Germany. Several sociodemographic and clinical predictors are identified. There is need for psychosocial support after acute treatment and in the long-term. Research on psychological burdens of long-term breast cancer survivors in the identified vulnerable groups is needed.

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.

Avaliação de Prejuízo Cognitivo em Sobreviventes de Câncer de Mama: Estudo Transversal

Resumo Estudo prospectivo e transversal, para determinar a prevalência de prejuízo cognitivo decorrente da quimioterapia e explorar fatores preditores e mediadores em sobreviventes de câncer de mama. Utilizou-se o Termômetro de Distress, Escala de Ansiedade e Depressão, Functional Assessment of Chronic Illness Therapy-General e Cognitive Function. As sobreviventes (N = 62) reportaram uma alta prevalência de distress (46,8%) e de ansiedade (24,2%), com baixos escores nas subescalas déficit cognitivo e habilidades cognitivas percebidos. O funcionamento cognitivo esteve associado à idade (β = 1,42; p = 0,002), atuação profissional (β = -23,12; p = 0,004), depressão (β = -5,43; p = 0,001) e qualidade de vida (β = 1,24; p = 0,001). Prejuízo cognitivo deve ser considerado no serviço de Psico-Oncologia.

Symptom trajectories in breast cancer survivors: growth mixture analysis of patient-reported pain, fatigue, insomnia, breast and arm symptoms

BACKGROUND

Variations in symptom development among breast cancer (BC) survivors are understudied. We examined: (Q1) Symptom trajectories of pain, fatigue, insomnia, breast, and arm symptoms in BC survivors, (Q2) possible patterns or cluster-like associations between trajectory classification of different symptoms, and (Q3) characteristics of survivors assigned to high-burden symptom trajectories.

MATERIAL AND METHODS

Participants were 968 women (mean age = 59.6 years) treated for early-stage BC and followed across a three-year postoperative period. As part of routine follow-up procedures, patients reported symptom burden and functioning levels at each hospital visit using the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ-C30) and the BC-specific module (QLQ-BR-23). Growth mixture modeling (GMM) analysis was used to differentiate potential subgroups of individuals with similar longitudinal symptom patterns, i.e., symptom trajectories (Q1). With this approach, groups experiencing persistent, highly distressing cancer- and treatment-related late effects (LEs) may be identified. Latent class analysis (LCA) was used for Q2 and logistic regression analysis for Q3.

RESULTS

GMM identified two relatively parallel trajectories across the tested symptoms: The majority of the sample exhibited a low-burden symptom trajectory (74.4-89.2%) and a minority by a high-burden symptom trajectory (10.8-25.6%). LCA revealed that approximately one in five women (18.8%) were likely to be members of the high-burden symptom trajectory across all tested symptoms. In addition to a high probability of being burdened over time across multiple symptoms, these women were also characterized by poorer self-reported physical and social functioning.

CONCLUSION

A substantial minority followed a high-burden symptom trajectory for several years following BC treatment. Associations were found in trajectory classification across symptoms, indicating that cancer-related LEs appear in clusters of multiple concurrent symptoms.

What Matters Most? Predictors of Quality of Life and Life Satisfaction Among Young Breast Cancer Survivors

BACKGROUND

Younger breast cancer survivors face unique challenges, and research is needed to better understand how to optimize their quality of life (QoL) and satisfaction with life (SwL).

OBJECTIVE

The aim of this study was to examine a biopsychosocial model of QoL and SwL in young breast cancer survivors. Biological, psychological, and social/practical factors were hypothesized to be associated with both distressing and adaptive reactions during survivorship, which in turn were hypothesized to be associated with QoL and SwL.

METHODS

Young (age = 19-45 years at diagnosis) breast cancer survivors (N = 284) completed an online survey assessing demographic and biopsychosocial factors, QoL, and SwL. Latent variables were created for adaptive and distressing reactions, and structural equation modeling was used to test the hypothesized relationships.

RESULTS

The model fit the data (χ2(100) = 332.92, P < .001, comparative fit index = 0.86, root mean square error of approximation = 0.09, standardized root mean square residual = 0.05) and accounted for large proportions of variance in QoL (R2 = 0.86) and SwL (R2 = 0.62). Social support, parenting concerns, and fertility concerns each significantly predicted adjustment. Adaptive reactions positively predicted SwL (β = 0.58, P < .001) but not QoL. Distressing reactions negatively predicted SwL (β = -0.26, P < .01) and QoL (β = -0.87, P < .001).

CONCLUSIONS

Adjustment in survivorship mediated the association of social support, parenting concerns, and fertility concerns on QoL and SwL in young breast cancer survivors.

IMPLICATIONS FOR PRACTICE

To support the psychological adjustment of young breast cancer survivors, attention should be given to survivors' social context including survivors' available social support and their concerns about fertility and parenting.

Greater Post-Surgical Pain Predicts Long-Term Depressed Affect in Breast Cancer Patients

Abstract. Background: Depressed affect is observed during primary treatment for early-stage breast cancer and often persists into survivorship. Pain can influence the long-term emotions of women with breast cancer. Behavioral mechanisms explaining this relationship are less clear. Coping during primary treatment may play a role in the association between pain and depressed affect. Aims: Our observational study examined a longitudinal mediation model testing whether post-surgical pain intensity predicted depressed affect 5 years later via disengagement and/or engagement coping at the end of treatment. Method: Women ( N = 240) with stage 0–III breast cancer completed measures of pain, coping, and depressed affect 4–10 weeks post-surgery, and 12 months and 5 years later. Results: Structural modeling yielded measurement models of 12-month disengagement and engagement coping. Direct effects emerged between post-surgical pain intensity and 12-month disengagement (β = .37, p < .001) and engagement coping (β = .16, p < .05). Post-surgical pain intensity was also related to 5-year depressed affect (β = .25, p < .05). Disengagement and engagement coping were not associated with depressed affect at 5-year follow-up, and there was no evidence of mediation. Limitations: This is a secondary analysis of data from a trial conducted several years ago, and may not generalize due to a homogenous sample with attrition at long-term follow-up. Conclusions: Greater post-surgical pain intensity predicts more disengagement and engagement coping at the end of primary treatment, as well as depressed affect during survivorship. Managing post-surgical pain may influence the emotions of survivors of breast cancer up to 5 years later, possibly through coping or non-coping processes.

The mental health impacts of receiving a breast cancer diagnosis: A meta-analysis

BACKGROUND

Receiving a breast cancer diagnosis can be a turning point with negative impacts on mental health, treatment and prognosis. This meta-analysis sought to determine the nature and prevalence of clinically significant psychological distress-related symptoms in the wake of a breast cancer diagnosis.

METHODS

Ten databases were searched between March and August 2020. Thirty-nine quantitative studies were meta-analysed.

RESULTS

The prevalence of clinically significant symptoms was 39% for non-specific distress (n = 13), 34% for anxiety (n = 19), 31% for post-traumatic stress (n = 7) and 20% for depression (n = 25). No studies reporting breast cancer patients' well-being in our specific time frame were found.

CONCLUSION

Mental health can be impacted in at least four domains following a diagnosis of breast cancer and such effects are commonplace. This study outlines a clear need for mitigating the impacts on mental health brought about by breast cancer diagnosis. CRD42020203990.

New and persistent controlled substance use among patients undergoing mastectomy and reconstructive surgery

PURPOSE

Prolonged use of controlled substances can place patients at increased risk of dependence and complications. Women who have mastectomy and reconstructive surgery (M + R) may be vulnerable to becoming new persistent users (NPUs) of opioid and sedative-hypnotic medications.

METHODS

Using the MarketScan health-care claims database, we identified opioid- and sedative-hypnotic-naïve women who had M + R from 2008 to 2017. Women who filled ≥ 1 peri-operative prescription and ≥ 2 post-operative prescriptions within one year after surgery were classified as NPUs. Univariate and multivariable logistic regression analyses were used to estimate rates of new persistent use and predictive factors. Risk summary scores were created based on the sum of associated factors.

RESULTS

We evaluated 23,025 opioid-naïve women and 25,046 sedative-hypnotic-naïve women. We found that 17,174 opioid-naïve women filled a peri-operative opioid prescription, and of those, 2962 (17.2%) became opioid NPUs post-operatively. Additionally, 9426 sedative-hypnotic-naïve women filled a peri-operative sedative-hypnotic prescription, and of those, 1612 (17.1%) became sedative-hypnotic NPUs. Development of new persistent sedative-hypnotic use was associated with age ≤ 49 [OR 1.77 (95% CI 1.40-2.24)] and age 50-64 [1.60 (1.27-2.03)] compared to age ≥ 65; Medicaid insurance [2.34 (1.40-3.90)]; southern residence [1.42 (1.22-1.64)]; breast cancer diagnosis [2.24 (1.28-3.91)]; and chemotherapy [2.17 (1.94-2.42)]. Risk of NPU increased with higher risk score. Women with ≥ 3 of these risk factors were three times more likely to become sedative-hypnotic NPUs than patients with 0 or 1 factors [2.94 (2.51-3.43)]. Comparable findings were seen regarding new persistent opioid use.

CONCLUSION

Women who have M + R are at risk of developing both new persistent opioid and new persistent sedative-hypnotic use. A patient's risk of becoming an NPU increases as their number of risk factors increases. Non-pharmacologic strategies are needed to manage pain and anxiety following cancer-related surgery.

Longitudinal Symptom Burden Trajectories in a Population-Based Cohort of Women with Metastatic Breast Cancer: A Group-Based Trajectory Modeling Analysis

Understanding the symptom burden trajectory for metastatic breast cancer patients can enable the provision of appropriate supportive care for symptom management. The aim of this study was to describe the longitudinal trajectories of symptom burden for metastatic breast cancer patients at the population-level. A cohort of 995 metastatic breast cancer patients with 16,146 Edmonton Symptom Assessment System (ESAS) assessments was constructed using linked population-level health administrative databases. The patient-reported ESAS total symptom distress score (TSDS) was studied over time using group-based trajectory modeling, and covariate influences on trajectory patterns were examined. Cohort patients experienced symptom burden that could be divided into six distinct trajectories. Patients experiencing a higher baseline TSDS were likely to be classified into trajectory groups with high, uncontrolled TSDS within the study follow-up period (χ2 (1, N = 995) = 136.25, p < 0.001). Compared to patients classified in the group trajectory with the highest relative TSDS (Group 6), patients classified in the lowest relative TSDS trajectory group (Group 1) were more likely to not have comorbidities (97.34% (for Groups 1-3) vs. 91.82% (for Group 6); p < 0.05), more likely to receive chemotherapy (86.52% vs. 80.50%; p < 0.05), and less likely to receive palliative care (52.81% vs. 79.25%; p < 0.0001). Receiving radiotherapy was a significant predictor of how symptom burden was experienced in all identified groups. Overall, metastatic breast cancer patients follow heterogeneous symptom burden trajectories over time, with some experiencing a higher, uncontrolled symptom burden. Understanding trajectories can assist in establishing risk-stratified care pathways for patients.

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.

COVID-19 Outbreak Effects on Job Security and Emotional Functioning Amongst Women Living With Breast Cancer

The outbreak of Coronavirus disease 2019 (COVID-19) has negatively impacted global economies and employment. In the UK, it is predicted that approximately eight million jobs were furloughed as a result of the outbreak and the associated restriction of movement or shielding measures. This study aimed to investigate the impact of changes in employment status on cognitive and emotional health as well as perceptions of work. Furthermore, it examined the relationships between women's job security and anxiety, depression and cognitive function. Women living with breast cancer (N = 234) completed online questionnaires to measure their cognitive function, general emotional well-being, COVID-19 related emotional vulnerability (COVID-EMV), work ability and COVID-19 related perceptions of work. Our results revealed that threat to job security was predictive of depression and cognitive function in the entire sample Such that those with higher levels of perceived job security had lower depression and better cognitive function. Further, women who were furloughed or unable to continue work reported higher job insecurity compared to those who had worked throughout the pandemic. Greater rumination was also associated with worse anxiety and depression as well as poorer cognitive function. Finally, moderation analysis highlighted that women who had better cognitive functioning were less likely to experience anxiety when their job security was high. Given our findings, we suggest that employers provide women with accessible interventions to enhance cognitive and emotional resilience and thus help protect against the detrimental effects of job insecurity created by the COVID-19 outbreak.

Quality of life and mental health in breast cancer survivors compared with non-cancer controls: a study of patient-reported outcomes in the United Kingdom

PURPOSE

There is limited high-quality evidence on quality of life, anxiety, and depressive symptoms in breast cancer survivors and women with no history of cancer. We aimed to address this by comparing patient-reported outcomes between breast cancer survivors and women with no history of breast cancer.

METHODS

Breast cancer survivors and women with no prior cancer were selected from the UK Clinical Practice Research Datalink GOLD primary care database, which includes population-based primary care electronic health record data. Breast cancer survivors and controls were frequency matched by age and primary care practice. Outcomes were assessed with validated instruments via postal questionnaire. Linear and logistic regression models were fitted to estimate adjusted associations between breast cancer survivorship and outcomes.

RESULTS

A total of 356 breast cancer survivors (8.1 years post diagnosis) and 252 women with no prior cancer participated in the study. Compared with non-cancer controls, breast cancer survivors had poorer QoL in the domains of cognitive problems (adjusted β (aβ) = 1.4, p = 0.01), sexual function (aβ = 1.7, p = 0.02) and fatigue (aβ = 1.3, p = 0.01), but no difference in negative feelings, positive feelings, pain, or social avoidance. Breast cancer survivors had higher odds of borderline-probable anxiety (score ≥ 8) (adjusted OR = 1.47, 95%CI:1.15-1.87), but no differences in depression. Advanced stage at diagnosis and chemotherapy treatment were associated with poorer QoL.

CONCLUSIONS

Compared with women with no history of cancer, breast cancer survivors report more problems with cognition, sexual function, fatigue, and anxiety, particularly where their cancer was advanced and/or treated with chemotherapy.

IMPLICATIONS FOR CANCER SURVIVORS

Breast cancer survivors with more advanced disease and/or treated with chemotherapy should be closely monitored and, when possible, offered evidence-based intervention for fatigue, cognitive dysfunction, and sexual problems.

Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis-An Observational Study

The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observational prospective study and included women with newly diagnosed breast cancer. One year follow-up with 3 visits (day of breast cancer diagnosis; 6 and 12 months) aimed to identify distinct pain-time trajectories. Baseline psychosocial vulnerability was characterized by z-score transformation, a higher score representing a more vulnerable patient. A total of 89 patients were included (59.3 ± 10.7 years). Two trajectories of pain were identified-"Transient Pain trajectory" (TP) (39/89 patients) and "Persistent Pain trajectory" (PP) (50/89). A significant difference of pain over time between trajectories (PP vs. TP at 6 months: 2.23 ± 0.23 vs. 0.27 ± 0.09, p < 0.001) was observed. Psychosocial vulnerability showed a large effect size (d, -0.82; 95% CI, -1.25 to -0.38; p < 0.001) and a higher score in "Persistent pain trajectory" (PP vs. TP: 0.12 ± 0.36 vs. -0.14 ± 0.26, p < 0.001). A predictive vulnerability marker of pain development is proposed and could be used at cancer diagnosis to orientate the care pathway of patients experiencing breast cancer.

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

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

Psycho-oncology care in breast cancer centres: a nationwide survey

OBJECTIVE

To describe psycho-oncological care structures and processes in German breast cancer centres from the perspective of the centre administration.

METHODS

The findings are based on a postal survey of a representative random sample of surgical sites of certified breast cancer centres in Germany. Data were collected in 2013 and 2014. The questionnaire included questions about infrastructure, patient information standards, psycho-oncological services and aspects of organisational culture. Data analyses included frequencies, means and bivariate relationships.

RESULTS

The return rate was 88.3% (53 hospital sites). Psycho-oncological care is provided by permanent employees in 87%. The average number of full-time-equivalent employees (FTE) is 1.23. Most breast cancer centres engage the occupational group of psycho-oncologists for psycho-oncological care (90%), followed by the medical service (80%) and breast care nurses (78%) (multiple answers were possible). The correlation coefficient between FTEs and surgical treatments per year is not significant (r=0.292, p=0.051). Hospitals are screening every inpatient for the need of psycho-oncological support in 76% of all sites. Frequently used screening instruments are distress thermometer (19%), clinical interview (13%) and basic psycho-oncological documentation (11%).

CONCLUSION

Our data provide insights into the self-reported structural and procedural quality of psycho-oncological care in German breast cancer centres. Further research should examine patient and caregiver perspective on the psycho-oncological services provided by breast cancer centres.

Depressive Symptom Profiles and Survival in Older Patients with Cancer: Latent Class Analysis of the ELCAPA Cohort Study

BACKGROUND

The expression of depressive symptoms in older people with cancer is heterogeneous because of specific features of age or cancer comorbidity. We aimed to identify depressive symptom profiles in this population and describe the associated features including survival.

MATERIALS AND METHODS

Patients ≥70 years who were referred to geriatric oncology clinics were prospectively included in the ELCAPA study. In this subanalysis, depressive symptoms were used as indicators in a latent class analysis. Multinomial multivariable logistic regression and Cox models examined the association of each class with baseline characteristics and mortality.

RESULTS

For the 847 complete-case patients included (median age, 79 years; interquartile range, 76-84; women, 47.9%), we identified five depressive symptom classes: "no depression/somatic only" (38.8%), "no depression/pauci-symptomatic" (26.4%), "severe depression" (20%), "mild depression" (11.8%), and "demoralization" (3%). Compared with the no depression/pauci-symptomatic class, the no depression/somatic only and severe depression classes were characterized by more frequent comorbidities with poorer functional status and higher levels of inflammation. "Severe" and "mild" depression classes also featured poorer nutritional status, more medications, and more frequent falls. Severe depression was associated with poor social support, inpatient status, and increased risk of mortality at 1 year (adjusted hazard ratio, 1.62, 95% confidence interval, 1.06-2.48) and 3 years (adjusted hazard ratio, 1.49; 95% confidence interval, 1.06-2.10).

CONCLUSION

A data-driven approach based on depressive symptoms identified five different depressive symptom profiles, including demoralization, in older patients with cancer. Severe depression was independently and substantially associated with poor survival.

IMPLICATIONS FOR PRACTICE

Older patients with cancer present with distinct profiles of depressive symptomatology, including different severity levels of depression and the demoralization syndrome. Clinicians should use a systematic assessment of depressive symptoms to adequately highlight these distinct profiles. Geriatric and oncological features are differently associated with these profiles. For instance, severe depression was associated with more frequent comorbidities with poorer functional, poor nutritional status, polypharmacy, frequent falls, inpatient status and poor social support. Also, severe depression was independently and substantially associated with poor survival so that the identification and management of depression should be considered a high priority in this population.

Associations Between Breast Cancer Survivorship and Adverse Mental Health Outcomes: A Systematic Review

Background

We aimed to systematically review the evidence on adverse mental health outcomes in breast cancer survivors (≥1 year) compared with women with no history of cancer.

Methods

Studies were identified by searching MEDLINE, PsycINFO, the Cumulative Index to Nursing and Allied Health Literature, and the Social Sciences Citation Index, and through backward citation tracking. Two researchers selected the studies, extracted data, and assessed the risk of bias.

Results

Sixty studies were included. Of 38 studies of depression, 33 observed more depression in breast cancer survivors; this was statistically significant in 19 studies overall, including six of seven where depression was ascertained clinically, three of four studies of antidepressants, and 13 of 31 that quantified depressive symptoms. Of 21 studies of anxiety, 17 observed more anxiety in breast cancer survivors, statistically significant in 11 studies overall, including two of four with clinical/prescription-based outcomes, and in eight of 17 of anxiety symptoms. Breast cancer survivors also had statistically significantly increased symptoms/frequency of neurocognitive dysfunction (18 of 24 studies), sexual dysfunctions (5 of 6 studies), sleep disturbance (5 of 5 studies), stress-related disorders/PTSD (2 of 3 studies), suicide (2 of 2 studies), somatisation (2 of 2 studies), and bipolar and obsessive-compulsive disorders (1 of 1 study each). Studies were heterogeneous in terms of participants' characteristics, time since diagnosis, ascertainment of outcomes, and measures reported. Approximately one-half of the studies were at high risk of selection bias and confounding by socio-economic status.

Conclusions

There is compelling evidence of an increased risk of anxiety, depression and suicide, and neurocognitive and sexual dysfunctions in breast cancer survivors compared with women with no prior cancer. This information can be used to support evidence-based prevention and management strategies. Further population-based and longitudinal research would help to better characterize these associations.

Fatigue after breast cancer treatment: Biobehavioral predictors of fatigue trajectories

OBJECTIVE

Fatigue is a common side effect of cancer treatment, but there is considerable variability in fatigue severity and persistence among survivors. This study aimed to characterize longitudinal trajectories of fatigue after breast cancer treatment and to identify predictors of varying fatigue trajectories.

METHODS

Women (N = 191) from the Mind-Body Study completed assessments after primary treatment for early stage breast cancer and at regular follow-ups that occurred up to 6 years after treatment (M = 4.3 years). Growth mixture models were used to characterize fatigue trajectories, and demographic, medical, and biobehavioral risk factors were examined as predictors of trajectory group.

RESULTS

Five trajectories were identified, characterized as High, Recovery, Late, Low, and Very Low fatigue. The High and Recovery groups (40% of sample) evidenced elevated fatigue at posttreatment that declined in Recovery but persisted in the High group. In bivariate analyses, trajectory groups differed significantly on depressive symptoms, sleep disturbance, childhood adversity, body mass index, and the inflammatory marker soluble TNF receptor type II, which were higher in the High and/or Recovery groups. In multivariate models, depressive symptoms and childhood adversity distinguished High and Recovery from other groups. Rates of chemotherapy were higher in the Recovery than in the High or Late group, whereas rates of endocrine therapy were higher in the High than in the Recovery group.

CONCLUSIONS

There are distinct longitudinal trajectories of fatigue after breast cancer treatment. Psychological factors are strongly associated with adverse fatigue trajectories, and together with treatment exposures may increase risk for cancer-related fatigue. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Trajectories of quality of life following breast cancer diagnosis

PURPOSE

Although quality of life (QoL) improves over time for most breast cancer survivors (BCS), BCS may show different patterns of QoL. This study sought to identify distinct QoL trajectories among BCS and to examine characteristics associated with trajectory group membership.

METHODS

BCS (N = 653) completed baseline assessments within 8 months of diagnosis. QoL was assessed by the Functional Assessment of Cancer Therapy-Breast (FACT-B) at baseline and 6, 12, and 18 months later. Finite mixture modeling was used to determine QoL trajectories of the trial outcome index (TOI; a composite of physical well-being, functional well-being, and breast cancer-specific subscales) and emotional and social/family well-being subscales. Chi-square tests and F tests were used to examine group differences in demographic, cancer-related, and psychosocial variables.

RESULTS

Unique trajectories were identified for all three subscales. Within each subscale, the majority of BCS had consistently medium or high QoL. The TOI analysis revealed only stable or improving groups, but the emotional and social/family subscales had groups that were stable, improved, or declined. Across all subscales, women in "consistently high" groups had the most favorable psychosocial characteristics. For the TOI and emotional subscales, psychosocial variables also differed significantly between women who started similarly but had differing trajectories.

CONCLUSIONS

The majority of BCS report good QoL as they transition from treatment to survivorship. However, some women have persistently low QoL in each domain and some experience declines in emotional and/or social/family well-being. Psychosocial variables are consistently associated with improving and/or declining trajectories of physical/functional and emotional well-being.

Cognition, quality-of-life, and symptom clusters in breast cancer: Using Bayesian networks to elucidate complex relationships

OBJECTIVE

Breast cancer patients frequently complain of cognitive dysfunction during chemotherapy. Patients also report experiencing a cluster of sleep problems, fatigue, and depressive symptoms during chemotherapy. We aimed to understand the complex dynamic interrelationships of depression, fatigue, and sleep to ultimately elucidate their role in cognitive performance and quality of life amongst breast cancer survivors undergoing chemotherapy treatment.

METHODS

Our study sample comprised 74 newly diagnosed stage I to III breast cancer patients scheduled to receive chemotherapy. An objective neuropsychological test battery and self-reported fatigue, mood, sleep quality, and quality of life were collected at 3 time points: before the start of chemotherapy (baseline: BL), at the end of cycle 4 chemotherapy (C4), and 1 year after the start of chemotherapy (Y1). We applied novel Bayesian network methods to investigate the role of sleep/fatigue/mood on cognition and quality of life prior to, during, and after chemotherapy.

RESULTS

The fitted network exhibited strong direct and indirect links between symptoms, cognitive performance, and quality of life. The only symptom directly linked to cognitive performance was C4 sleep quality; at C4, fatigue was directly linked to sleep and thus indirectly influenced cognitive performance. Mood strongly influenced concurrent quality of life at C4 and Y1. Regression estimates indicated that worse sleep quality, fatigue, and mood were negatively associated with cognitive performance or quality of life.

CONCLUSIONS

The Bayesian network identified local structure (eg, fatigue-mood-QoL or sleep-cognition) and possible intervention targets (eg, a sleep intervention to reduce cognitive complaints during chemotherapy).

Anxiety and Depression in Cancer Survivors

Most cancer survivors adjust well to life after cancer but some experience persisting negative mood, such as cancer-related fears, posttraumatic stress, anxiety, or depression. Mood fluctuations may not reach criteria for a clinical diagnosis but subclinical symptoms can interfere with quality of life. Women, adolescents, and young adults are particularly at risk for mood disturbances. Behavioral interventions, such as cognitive behavioral therapy and pharmacologic treatments, can effectively treat these distressing emotions. Much of the research on managing emotional needs after cancer has been completed with breast cancer survivors and more work is needed with diverse groups of survivors.

Predictors of distress in female breast cancer survivors: a systematic review

Purpose

Unmanaged distress has been shown to adversely affect survival and quality of life in breast cancer survivors. Fortunately, distress can be managed and even prevented with appropriate evidence-based interventions. Therefore, the objective of this systematic review was to synthesize the published literature around predictors of distress in female breast cancer survivors to help guide targeted intervention to prevent distress.

Methods

Relevant studies were located by searching MEDLINE, Embase, PsycINFO, and CINAHL databases. Significance and directionality of associations for commonly assessed candidate predictors (n ≥ 5) and predictors shown to be significant (p ≤ 0.05) by at least two studies were summarized descriptively. Predictors were evaluated based on the proportion of studies that showed a significant and positive association with the presence of distress.

Results

Forty-two studies met the target criteria and were included in the review. Breast cancer and treatment-related predictors were more advanced cancer at diagnosis, treatment with chemotherapy, longer primary treatment duration, more recent transition into survivorship, and breast cancer recurrence. Manageable treatment-related symptoms associated with distress included menopausal/vasomotor symptoms, pain, fatigue, and sleep disturbance. Sociodemographic characteristics that increased the risk of distress were younger age, non-Caucasian ethnicity, being unmarried, and lower socioeconomic status. Comorbidities, history of mental health problems, and perceived functioning limitations were also associated. Modifiable predictors of distress were lower physical activity, lower social support, and cigarette smoking.

Conclusions

This review established a set of evidence-based predictors that can be used to help identify women at higher risk of experiencing distress following completion of primary breast cancer treatment.

Electronic supplementary material

The online version of this article (doi:10.1007/s10549-017-4290-9) contains supplementary material, which is available to authorized users.

Case management to increase quality of life after cancer treatment: a randomized controlled trial

Background

Case management has been shown to be beneficial in phases of cancer screening and treatment. After treatment is completed, patients experience a loss of support due to reduced contact with medical professionals. Case management has the potential to offer continuity of care and ease re-entry to normal life. We therefore aim to investigate the effect of case management on quality of life in early cancer survivors.

Methods

Between 06/2010 and 07/2012, we randomized 95 patients who had just completed cancer treatment in 11 cancer centres in the canton of Zurich, Switzerland. Patients in the case management group met with a case manager at least three times over 12 months. Patient-reported outcomes were assessed after 3, 6 and 12 months using the Functional Assessment of Cancer Therapy (FACT-G) scale, the Patient Assessment of Chronic Illness Care (PACIC) and the Self-Efficacy scale.

Results

The change in FACT-G over 12 months was significantly greater in the case management group than in the control group (16.2 (SE 2.0) vs. 9.2 (SE 1.5) points, P = 0.006). The PACIC score increased by 0.20 (SE 0.14) in the case management group and decreased by 0.29 (SE 0.12) points in the control group (P = 0.009). Self-Efficacy increased by 3.1 points (SE 0.9) in the case management group and by 0.7 (SE 0.8) points in the control group (P = 0.049).

Conclusions

Case management has the potential to improve quality of life, to ease re-entry to normal life and to address needs for continuity of care in early cancer survivors.

Trial registration

The study has been submitted to the ISRCTN register under the name “Case Management in Oncology Rehabilitation” on the 12th of October 2010 and retrospectively registered under the number ISRCTN41474586 on the 24th of November 2010.

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-017-3213-9) contains supplementary material, which is available to authorized users.

Quality of life trajectories after diagnosis of gynecologic cancer: a theoretically based approach

PURPOSE

The course of quality of life after diagnosis of gynecologic cancer is not well understood. We aimed to identify subgroups of gynecologic cancer patients with distinct trajectories of quality of life outcomes in the 18-month period after diagnosis. We also aimed to determine whether these subgroups could be distinguished by predictors derived from Social-Cognitive Processing Theory.

METHODS

Gynecologic cancer patients randomized to usual care as part of a psychological intervention trial (NCT01951807) reported on depressed mood, quality of life, and physical impairment soon after diagnosis and at five additional assessments ending 18 months after baseline. Clinical, demographic, and psychosocial predictors were assessed at baseline, and additional clinical factors were assessed between 6 and 18 months after baseline.

RESULTS

A two-group growth mixture model provided the best and most interpretable fit to the data for all three outcomes. One class revealed subclinical and improving scores for mood, quality of life, and physical function across 18 months. A second class represented approximately 12 % of patients with persisting depression, diminished quality of life, and greater physical disability. Membership of this high-risk subgroup was associated with holding back concerns, more intrusive thoughts, and use of pain medications at the baseline assessment (ps < .05).

CONCLUSIONS

Trajectories of quality of life outcomes were identified in the 18-month period after diagnosis of gynecologic cancer. Potentially modifiable psychosocial risk factors were identified that can have implications for preventing quality of life disruptions and treating impaired quality of life in future research.

Burden of symptoms associated with development of metastatic bone disease in patients with breast cancer

Purpose

Women with breast cancer frequently develop painful bone metastases. This retrospective study was designed to longitudinally characterize patterns of patient-reported symptoms among patients with breast cancer relative to the diagnosis of bone metastases.

Methods

Patient records were identified from the Oncology Services Comprehensive Electronic Records (OSCER) database which includes outpatient oncology practices across the USA. Symptom burden was assessed by Patient Care Monitor (PCM) assessments, which are administered as part of routine care in a subset of these practices. Eligible patients were women diagnosed with breast cancer (ICD-9-CM 174.xx) who developed bone metastases (ICD-9-CM 198.5) and had ≥1 PCM assessment between January 2007 and December 2012. The pre-specified endpoint was the occurrence of moderate to severe symptom burden, defined as PCM score ≥4 (0–10 scale).

Results

One thousand one hundred five women (median age, 61) met the eligibility criteria. Worsening of symptoms, particularly fatigue and pain, occurred in the months leading up to the diagnosis of bone metastases. After bone metastases diagnosis, the rate of increase in the proportion of patients experiencing moderate/severe symptoms slowed, but continued to climb during follow-up. Median time to moderate/severe symptoms was 0.9 month for fatigue, 1 month for pain, 2.9 months for trouble sleeping, and 7.7 months for numbness/tingling. Half of the patients received bone-targeted agents after diagnosis of bone metastases.

Conclusions

Symptom burden, especially pain and fatigue, increased both before and after the diagnosis of bone metastases, highlighting the need for proactive monitoring and management of symptoms in breast cancer patients.

Electronic supplementary material

The online version of this article (doi:10.1007/s00520-016-3154-x) contains supplementary material, which is available to authorized users.