Associations between multiple chronic conditions and cancer-related fatigue: an integrative review

Higher Levels of Multiple Types of Stress Are Associated With Worse State Anxiety and Morning Fatigue Profiles in Patients Receiving Chemotherapy

BACKGROUND

Anxiety and fatigue are common problems in patients receiving chemotherapy. Unrelieved stress is a potential cause for the co-occurrence of these symptoms.

OBJECTIVES

The aims of this study were to identify subgroups of patients with distinct state anxiety and morning fatigue profiles and evaluate for differences among these subgroups in demographic and clinical characteristics, as well as measures of global, cancer-specific, and cumulative life stress and resilience and coping.

METHODS

Patients (n = 1335) completed measures of state anxiety and morning fatigue 6 times over 2 cycles of chemotherapy. All of the other measures were completed prior to the second or third cycle of chemotherapy. Latent profile analysis was used to identify the state anxiety and morning fatigue profiles.

RESULTS

Three distinct joint profiles were identified: Low Anxiety and Low Morning Fatigue (59%), Moderate Anxiety and Moderate Morning Fatigue (33.4%), and High Anxiety and High Morning Fatigue (7.6%). Patients in the 2 highest classes were younger, were less likely to be married/partnered, and had a higher comorbidity burden. All of the stress scores demonstrated a dose-response effect (ie, as anxiety and morning fatigue profiles worsened, stress increased). Patients in the 2 highest classes reported higher rates of emotional abuse, physical neglect, physical abuse, and sexual harassment.

CONCLUSIONS

More than 40% of these patients experienced moderate to high levels of both anxiety and morning fatigue. Higher levels of all 3 types of stress were associated with the 2 highest profiles.

IMPLICATIONS FOR PRACTICE

Clinicians need to perform comprehensive evaluations of patients' levels of stress and recommend referrals to psychosocial services.

Fatigue and Its Related Factors Among Iranian Cancer Survivors

Introduction: Cancer-related fatigue (CRF) is one of the major problems experienced by cancer patients. Identifying the prevalence and factors associated with CRF may be effective in designing appropriate interventions to reduce this problem. This study aimed to examine the prevalence of CRF and its related factors among Iranian cancer survivors.

Methods: The samples of this descriptive cross-sectional study included 131 cancer survivors referred to outpatient clinic of Shahid Gazi Hospital affiliated to Tabriz University of Medical Sciences. Brief fatigue inventory (BFI) questionnaire was used for data collection. The data were analyzed using SPSS software version 13, descriptive statistics, and regression analysis.

Results: The mean (SD) fatigue score was 6.41 (1.68) and 89% of survivors reported that they had suffered from CRF. The factors affecting CRF included blood pressure, diabetes mellitus, anemia, serum levels of blood urea nitrogen (BUN), marital status, type of cancer, and physical activity.

Conclusion: High level of CRF in cancer survivors requires special attention and designing effective interventions through considering the identified factors associated with CRF.

Subgroups of patients undergoing chemotherapy with distinct cognitive fatigue and evening physical fatigue profiles

PURPOSE

The purpose was to model cognitive fatigue and evening physical fatigue together to determine subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles. Once these profiles were identified, differences among the subgroups in demographic and clinical characteristics, co-occurring symptoms, and quality of life outcomes were evaluated.

METHODS

Oncology patients (n = 1332) completed self-report measures of cognitive fatigue and evening physical fatigue, six times over two cycles of chemotherapy. Latent profile analysis, which combined the two symptom scores, was done to identify subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles.

RESULTS

Three distinct profiles (i.e., Low [20.5%], Moderate [39.6%], and High [39.6%]) were identified. Compared to the Low class, patients in the High class were younger, female, and more likely to live alone and had a higher comorbidity burden and a lower functional status. In addition, these patients had a higher symptom burden and a poorer quality of life.

CONCLUSION

Based on clinically meaningful cutoff scores, 80% of the patients in this study had moderate to high levels of both cognitive fatigue and evening physical fatigue. In addition, these patients experienced high levels of other common symptoms (e.g., anxiety, depression, sleep disturbance, and pain). These co-occurring symptoms and other modifiable characteristics associated with membership in the Moderate and High classes may be potential targets for individualized symptom management interventions.

The Influence of Multiple Chronic Conditions on Symptom Clusters in People With Solid Tumor Cancers

BACKGROUND

People with cancer who also have multiple chronic conditions (MCCs) experience co-occurring symptoms known as symptom clusters.

OBJECTIVE

To describe MCC and symptom clusters in people with cancer and to evaluate the relationships between MCCs and symptom severity, symptom interference with daily life, and quality of life (QoL).

METHODS

Weekly over a 3-week chemotherapy cycle, 182 adults with solid tumor cancer receiving chemotherapy completed measures of symptom severity, symptom interference with daily life, and QoL. Medical records reviewed to count number of MCCs in addition to cancer. Exploratory factor analysis was performed to identify symptom clusters. The relationships between the number of MCCs and the outcomes (symptom severity and symptom interference with daily life and QoL) at each time point were examined using the χ2 test. Longitudinal changes in outcomes were examined graphically.

RESULTS

The number of MCCs ranged from 0 to 9, but most participants (62.1%) had 2 or fewer MCCs. Obesity was the most prevalent chronic condition. Four symptom clusters were identified: nutrition, neurocognitive, abdominal discomfort, and respiratory clusters. At each time point, no significant differences were found for MCCs and any outcome. However, symptom severity in all the symptom clusters, symptom interference with daily life, and QoL demonstrated a worsening in the week following chemotherapy.

CONCLUSION

A majority of our sample had 2 or fewer MCCs, and MCCs did contribute to patient outcomes. Rather, timing of chemotherapy cycle had the greatest influence of patient outcomes.

IMPLICATIONS FOR PRACTICE

Additional support on day 7 of chemotherapy treatment is needed for people with MCCs.

Social support in early-stage breast cancer patients with fatigue

Background

A large number of women with breast cancer suffer from fatigue, and social support is described as having a positive impact on health in stressful life situations. The aim of this study is to evaluate social support in a sample of early-stage breast cancer outpatients with fatigue during treatment, and to evaluate the association between cancer-related fatigue and social support and between social support and demographic and treatment characteristics.

Method

This cross-sectional study includes 160 outpatients with early-stage breast cancer and cancer-related fatigue. The patients were recruited from clinics at a university-based cancer centre in Norway. The research instruments included The Social Provisions Scale (SPS), which measures ‛attachment’, ‛social integration’, ‛reassurance of worth’, and ‛nurturance’, and a fatigue questionnaire (FQ), which measures total, physical and mental fatigue. Data were analysed using descriptive statistics and linear regression analysis.

Results

Median total score for SPS was 59 (min/max = 39/64). Significant associations were found between mental fatigue and the provisions ‛reassurance of worth’ (B = − 0.34, 95% CI = [− 0.60; − 0.08]) and ‛nurturance’ (B = 0.20, 95% CI = [0.08; 0.31]). In addition, an association was found between social support and living with someone (B = 6.09, 95% CI = [4.07; 8.11]). No associations were found between physical fatigue and social support or between social support and treatment variables.

Conclusions

To a large extent, breast cancer patients with fatigue in this study experienced social support from their surroundings. The fact that there were significant associations between mental fatigue and two of the provisions of SPS suggests that social support is more closely related to mental fatigue than to physical fatigue. Findings from this study suggest that living with someone is important for the experience of social support during treatment for breast cancer. Clinicians need to evaluate demographic characteristics in relation to social support in early-stage breast cancer patients with fatigue.

Morning Fatigue Severity Profiles in Oncology Outpatients Receiving Chemotherapy

BACKGROUND

Morning fatigue is a distinct symptom experienced during chemotherapy that demonstrates significant interindividual variability.

OBJECTIVES

The aims of this study were to identify subgroups with distinct morning fatigue profiles and evaluate how these subgroups differed by demographic, clinical, and symptom characteristics.

METHODS

Outpatients (N = 1332) with breast, gastrointestinal, gynecological, or lung cancer completed questionnaires 6 times over 2 cycles of chemotherapy. Morning fatigue was assessed with the Lee Fatigue Scale. Latent profile analysis was used to identify distinct morning fatigue profiles.

RESULTS

Four morning fatigue profiles (ie, very low, low, high, and very high) were identified. In the high and very high classes, all 6 morning fatigue scores were higher than the clinical cutoff score. Compared with those in the very low and low classes, patients in the very high class were younger and not married/partnered; lived alone; had higher incomes, higher comorbidity, and higher body mass index; and did not exercise regularly. Across the 4 classes, functional status and attentional function scores decreased and anxiety, depression, sleep disturbance, morning fatigue, and evening fatigue scores increased across the 2 cycles.

CONCLUSION

Results provide insights into modifiable risk factors for morning fatigue. These risk factors can be used to develop more targeted interventions.

IMPLICATIONS FOR PRACTICE

Patients in the high and very high morning fatigue classes experienced high symptom and comorbidity burdens and significant decrements in functional status. Using this information, clinicians can identify patients who are at an increased risk for higher levels of morning fatigue and prescribe interventions to improve this devastating symptom.

The association of cancer-related fatigue with all-cause mortality of colorectal and endometrial cancer survivors: Results from the population-based PROFILES registry

Purpose

Cancer‐related fatigue (CRF) is one of the most prevalent symptoms experienced by cancer survivors. However, researchers are only beginning to elucidate the risk factors, underlying mechanism(s), and its association with other outcomes. Research on the association between CRF and mortality is limited.

Methods

The study sample comprised 2059 short‐term (<5 years postdiagnosis) cancer survivors from four PROFILES registry studies. Survivors diagnosed with stage I‐III colorectal cancer (CRC) or stage I‐III endometrial cancer (EC), with no evidence of disease, were identified and followed‐up by the Netherlands Cancer Registry. Fatigue was assessed with the Fatigue Assessment Scale. Cox proportional hazards models adjusted for demographic, clinical, and lifestyle characteristics were performed to assess the association of CRF with all‐cause mortality. Date of censoring was February 1, 2017.

Results

Prevalence of CRF varied between 35.8% (male CRC) and 43.6% (female CRC). After a median follow‐up period of 9.0 years, a total of 408 survivors (20%) had died. CRF was associated with increased all‐cause mortality in male CRC survivors (HRadj = 1.75, 95% CI [1.31‐2.33]). This association remained statistically significant after excluding survivors experiencing anhedonia. For female CRC (HRadj = 1.32, 95% CI [0.90‐1.97]) and EC (HRadj = 1.27, 95% CI [0.84‐1.90]) survivors, there was no significant association with all‐cause mortality for the fatigued group in multivariable analyses.

Conclusion

Our study found that CRF is significantly associated with all‐cause mortality in male CRC survivors, irrespective of potential confounders. This result suggests that clinicians should increase their attention towards the recognition and treatment of CRF.

Cancer care coordination: opportunities for healthcare delivery research

In this commentary, we discuss opportunities to explore issues related to care coordination at three points on the cancer care continuum: (1) screening, particularly coordinating follow-up for abnormal findings, (2) active treatment, particularly challenges for patients with multiple chronic conditions, and (3) survivorship, particularly issues related to facilitating shared care between oncology and primary care. For each point on the continuum, we briefly summarize some of the important coordination issues and discuss potential avenues for future research in the context of existing evidence.

Association between patients' perception of the comorbidity burden and symptoms in outpatients with common solid tumors

BACKGROUND

Cancer patients' symptom burden is commonly attributed to their cancer and treatment. Increasingly, cancer patients have many other chronic comorbid conditions. However, the degree to which these comorbid conditions may contribute to the patient-reported symptom burden is unclear.

METHODS

This study explored the relations between the presence of comorbid conditions, the symptom experience and burden, and the perceived bother from cancer or comorbid conditions in 3106 cancer patients. The associations between the number of comorbidities (identified from current medications), the patient-reported symptom burden (the number of symptoms scored as ≥7 on the 13-item MD Anderson Symptom Inventory physical scale), the patient-reported bother from comorbid conditions and from cancer (from "not at all" to "extremely"), and the clinician-reported difficulty in caring for patients' symptoms were examined.

RESULTS

According to medication lists, 19% of the patients had at least 5 of 12 comorbid conditions. Approximately 39% rated at least 1 symptom as ≥ 7, and this proportion increased with an increasing number of comorbid conditions (48% with ≥ 5 comorbid conditions vs 36% with 1 comorbid condition). One-third of the patients reported moderate or worse bother, and this was significantly associated with an increased number of comorbid conditions (odds ratio [OR], 2.4) and an increased symptom burden (OR, 1.22). Clinician ratings of difficulty in managing patients' symptoms were significantly associated with bother from cancer (OR, 2.0), comorbid conditions (OR, 1.6), and symptom burden (OR, 1.1).

CONCLUSIONS

Comorbidity is common in cancer patients and is associated with a greater symptom burden and clinician reports of difficulty in managing patients' symptoms. Greater attention to comorbid conditions is needed to optimize the symptom management of cancer patients with multimorbidity. Cancer 2017;123:3835-3842. © 2017 American Cancer Society.

Distinct Evening Fatigue Profiles in Oncology Outpatients Receiving Chemotherapy

Background

Fatigue is the most common and debilitating symptom experienced by oncology patients during chemotherapy (CTX). Fatigue severity demonstrates a large amount of inter-individual and diurnal variability.

Purpose

Study purposes were to evaluate for subgroups of patients with distinct evening fatigue profiles and evaluate how these subgroups differed on demographic, clinical, and symptom characteristics.

Methods

Outpatients with breast, gastrointestinal, gynecological, or lung cancer (n=1332) completed questionnaires six times over two cycles of CTX. Lee Fatigue Scale (LFS) evaluated evening fatigue severity. Latent profile analysis was used to identify distinct evening fatigue profiles.

Results

Four distinct evening fatigue classes (i.e., Low (14.0%), Moderate (17.2%), High (36.0%), Very High (32.8%)) were identified. Compared to the Low class, patients in the Very High evening fatigue class were: younger, female, had childcare responsibilities, had more years of education, had a lower functional status, had a higher comorbidity burden, and were diagnosed with breast cancer. Patients in the Very High class reported higher levels of depressive symptoms, sleep disturbance, and evening fatigue at enrollment.

Conclusions

Findings provide new insights into modifiable risk factors for higher levels of evening fatigue. Clinicians can use this information to identify higher risk patients and plan appropriate interventions.

Prevalence of fatigue in patients 3 months after stroke and association with early motor activity: a prospective study comparing stroke patients with a matched general population cohort

BACKGROUND

Fatigue is a common complaint after stroke. Reasons for higher prevalence are still unclear. This study aimed to determine if fatigue prevalence in stroke patients is different to that of age and gender matched general population controls, and to explore whether early motor activity was associated with reduced likelihood of fatigue three months after stroke.

METHODS

This was a prospective multicenter cohort study of stroke patients admitted to eleven regional Norwegian hospitals, within 14 days after stroke. Stroke patients (n = 257) were age and gender matched to participants in a general population health survey (HUNT3-survey) carried out in a regional county of central Norway. The single-item fatigue questionnaire from the HUNT3-survey was administered to both groups to compare prevalence. The association between early motor activity (time in bed, time sitting out of bed, and time upright) and fatigue at three months after stroke (Fatigue Severity Scale) was tested with logistic regression. Simple models including each activity outcome, with adjustment for stroke severity and pre-stroke function, were tested, as well as a comprehensive model that included additional independent variables of depression, pain, pre-stroke fatigue, age and gender.

RESULTS

Prevalence was higher after stroke compared with the general population: 31.1% versus 10.9%. In the simple regression models, none of the early motor activity categories were associated with fatigue three months after stroke. In the comprehensive model, depression, pain and pre-stroke fatigue were significantly associated with post-stroke fatigue. Time in bed through the daytime during hospital stay approached statistical significance (p = 0.058) with an odds ratio for experiencing fatigue of 1.02 (95% CI 1.00-1.04) for each additional 5.4 minutes in bed.

CONCLUSIONS

Stroke patients had higher prevalence of fatigue three months after stroke than the age and gender matched general population sample, which may be partly explained by the stroke population being in poorer health overall. The relationship between early motor activity (and inactivity) and fatigue remains unclear. Further research, which may help drive development of new treatments to target this challenging condition, is needed.

Putting evidence into practice: an update of evidence-based interventions for cancer-related fatigue during and following treatment

Cancer-related fatigue (CRF) has deleterious effects on physical, social, cognitive, and vocational functioning, and causes emotional and spiritual distress for patients and their families; however, it remains under-recognized and undertreated. This article critically reviews and integrates the available empirical evidence supporting the efficacy of pharmacologic and nonpharmacologic treatment approaches to CRF, highlighting new evidence since 2007 and 2009 Putting Evidence Into Practice publications. Interventions that are recommended for practice or likely to be effective in improving fatigue outcomes include exercise; screening for treatable risk factors; management of concurrent symptoms; yoga; structured rehabilitation; Wisconsin ginseng; cognitive-behavioral therapies for insomnia, pain, and depression; mindfulness-based stress reduction; and psychoeducational interventions such as anticipatory guidance, psychosocial support, and energy conservation and activity management. This information can be applied to improve the management of CRF, inform health policy and program development, shape the design of clinical trials of new therapies for CRF, and drive basic and translational research.

Trajectories of Evening Fatigue in Oncology Outpatients Receiving Chemotherapy

CONTEXT

Fatigue is a distressing persistent sense of physical tiredness that is not proportional to a person's recent activity. Fatigue impacts patients' treatment decisions and can limit their self-care activities. Although significant interindividual variability in fatigue severity has been noted, little is known about predictors of interindividual variability in initial levels and trajectories of evening fatigue severity in oncology patients receiving chemotherapy.

OBJECTIVES

To determine whether demographic, clinical, and symptom characteristics were associated with initial levels and the trajectories of evening fatigue.

METHODS

A sample of outpatients with breast, gastrointestinal, gynecological, and lung cancer (N = 586) completed demographic and symptom questionnaires a total of six times over two cycles of chemotherapy. Fatigue severity was evaluated using the Lee Fatigue Scale. Hierarchical linear modeling was used to answer the study objectives.

RESULTS

A large amount of interindividual variability was found in the evening fatigue trajectories. A piecewise model fit the data best. Patients who were white, diagnosed with breast, gynecological, or lung cancer, and who had more years of education, childcare responsibilities, lower functional status, and higher levels of sleep disturbance and depression reported higher levels of evening fatigue at enrollment.

CONCLUSION

This study identified both nonmodifiable (e.g., ethnicity) and modifiable (e.g., childcare responsibilities, depressive symptoms, sleep disturbance) risk factors for more severe evening fatigue. Using this information, clinicians can identify patients at higher risk for more severe evening fatigue, provide individualized patient education, and tailor interventions to address the modifiable risk factors.