Concerns about Breast Cancer, Pain, and Fatigue in Non-Metastatic Breast Cancer Patients Undergoing Primary Treatment

Determinants of Cancer-Related Fatigue among Cancer Patients: A Systematic Review

Objectives: This systematic review aims to assess and explore various determinants of cancer- related fatigue. Methods: A systematic search of various determinants of Cancer-related fatigue (CRF) was performed in different databases like PubMed, Google Scholar, Science Direct and Clinical Key dating from 1990 to September 2020. Results: A total of 6115 studies were screened and 95 articles related to determinants of fatigue were retained. Various modifiable and non-modifiable determinants including socio-demographic, clinical, treatment related, plasma biomarker related, genetic, behavioural, concurrent symptoms related and psychological determinants were identified. Depression was one of the significant factors reported in 28% of studies, followed by pain, (17%), performance status (16%), chemotherapy and anxiety (15%). Conclusion: It is recommended that nurses and clinicians should anticipate, identify and take appropriate interventions to manage those modifiable factors. Ultimately, managing the modifiable factors helps in the comprehensive care of cancer patients.

Psychological Factors Are Associated with Pain at All Time Frames After Breast Cancer Surgery: A Systematic Review with Meta-Analyses

OBJECTIVE

This systematic review aimed to 1) assess associations between psychological factors and pain after breast cancer (BC) treatment and 2) determine which preoperative psychological factors predicted pain in the acute, subacute, and chronic time frames after BC surgery.

DESIGN

A systematic review with meta-analysis.

SUBJECTS

Women with early-stage BC.

METHODS

The Medline, EMBASE, CINAHL, and Web of Science databases were searched between 1990 and January 2019. Studies that evaluated psychological factors and pain after surgery for early-stage BC were included. Associations between psychological factors and pain, from early after surgery to >12 months after surgery, were extracted. Effect size correlations (r equivalents) were calculated and pooled by using random-effects meta-analysis models.

RESULTS

Of 4,137 studies, 47 were included (n = 15,987 participants; 26 studies ≤12 months after surgery and 22 studies >12 months after surgery). The majority of the studies had low to moderate risk of bias. Higher preoperative anxiety and depression were weak but significant predictors of pain at all time points up to 12 months (r equivalent: 0.15-0.22). Higher preoperative pain catastrophizing and distress were also weak but significant predictors of pain during the acute (0-7 days) and chronic (3-12 months) periods (r equivalent: 0.10-0.20). For the period >12 months after surgery, weak but significant cross-sectional associations with pain were identified for anxiety, depression, pain catastrophizing, and distress (r equivalents: 0.15, 0.17, 0.25, 0.14, respectively).

CONCLUSION

Significant pooled effect size correlations between psychological factors and pain were identified across all time frames. Though weak, these associations should encourage assessment of key psychological factors during preoperative screening and pain assessments at all postoperative time frames.

Insomnia and Susceptibility to Depressive Symptoms and Fatigue in Diverse Breast Cancer Survivors

Background: Nearly 40% of breast cancer survivors have insomnia, yet, information how this condition affects their quality of life is lacking. We examined the association between insomnia and depressive symptoms and fatigue in breast cancer survivors.

Methods: Participants were recruited from a community health plan. We conducted a cross-sectional analysis to examine the association between current insomnia (using Insomnia Severity Index [ISI]) and current depressive symptoms (using Inventory of Depressive Symptomology [IDS]) and fatigue (using Fatigue Symptom Inventory [FSI]) in 315 breast cancer survivors who did not have major depressive disorder. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression.

Results: The cohort included 30% minority women whose median time since breast cancer diagnosis was 6 years. Survivors with current insomnia symptoms (ISI ≥8) had a sixfold greater odds of current depressive symptoms (IDS >14, OR = 5.98, 95% CI: 3.04–11.76), after adjusting for lifetime insomnia history (OR = 2.01, 95% CI: 1.03–3.94) and perceived stress (OR = 6.37, 95% CI: 2.48–16.32). Insomnia symptoms were markedly associated with moderate fatigue (FSI >3, OR = 5.02, 95% CI: 2.66–9.44). Ever use of antidepressants or sleep medications post-breast cancer diagnosis was not associated with lower odds of current depressive symptoms or feeling fatigued in those with insomnia symptoms.

Conclusion: Current insomnia symptoms were strongly correlated with current depressive symptoms and fatigue. Survivorship care plans should consider incorporating insomnia screening to that may potentially enhance quality of life domains.

To assess the Prevalence and Predictors of Cancer-related Fatigue and its Impact on Quality of Life in Advanced Cancer Patients Receiving Palliative Care in a Tertiary Care Hospital: A Cross-sectional Descriptive Study

INTRODUCTION

Cancer-related fatigue (CRF) is one of the adverse outcomes of cancer and its treatment. Despite its high prevalence; the data are scarce from the Indian population on the prevalence of CRF and its predictors in advanced cancer patients. Hence, we aim to find the prevalence of the fatigue, its impact of fatigue on quality of life (QOL), and possible predictors.

METHODS

This study was conducted after approval of the ethical committee in adult patients of advanced cancer receiving palliative care. The data collected included demographic details, nutritional status, any comorbidities involving cardiorespiratory, renal, pulmonary, and neurological system, type and stage of cancer, site of metastasis, any previous or ongoing chemotherapy or radiotherapy, history of drug intake, hemoglobin, and albumin. The study parameters included assessment of fatigue, QOL, and symptom assessment as per the validated tools. The primary objective of the study was to find the prevalence of fatigue in advanced cancer patients receiving palliative care. The secondary objectives were to find predictive factors of fatigue, its impact on QOL of patients, and the relation between the fatigue and QOL receiving palliative care. The correlation between fatigue score and QOL was analyzed using Pearson's correlation coefficient. Multiple linear regression analysis was performed for identifying the predictors of CRF.

RESULTS

The fatigue was observed in all 110 patients in this study. Of these, severe fatigue was seen in 97 patients (Functional Assessment of Chronic Illness Therapy [FACIT]-F < 30). The median (interquartile range [IQR]) FACIT-F score was 14 (8-23). The median (IQR) of the overall QOL was 16.66 (16.6-50). The correlation between the fatigue (FACIT-F) and QOL was + 0.64 (P < 0.001). The predictors of fatigue included pain, physical functioning, Eastern Cooperative Oncology Group, tiredness, and the level of albumin.

CONCLUSION

We conclude that the prevalence of fatigue in Indian patients with advanced cancer receiving palliative care was high and it has a negative impact on QOL. Pain, physical functioning, performance status, and albumin were found to be independent predictors of CRF.

Evaluation of fatigue in patients with pancreatic cancer receiving chemotherapy treatment: a cross-sectional observational study

BACKGROUND AND AIM OF THE WORK

Cancer-related fatigue (CRF) is one of the most common symptoms experienced by cancer patients (CPs) and negatively affects quality of life. Although CRF is frequently experienced, it is often underreported, underdiagnosed and undertreated. The objectives of this study were to evaluate the level of fatigue in patients with pancreatic cancer undergoing chemotherapy and to analyse its correlation with patients' demographic and clinical variables.

METHODS

A cross-sectional observational study was implemented in the Oncology Day Hospital of a Northern Italian hospital. A sample of 48 patients receiving chemotherapy were evaluated through the Brief Fatigue Inventory Italian version (BFI-I) between 1 May and 12 October 2016. Data were statistically analysed.

RESULTS

Most of our patients (94%) experienced fatigue. Women as well as patients with an age ≥65 years reported more fatigue. Anemia, pain and a weight loss of over 16 kg in the last 6 months were significantly related to the perception of fatigue. Regarding life habits, smoking was related to high global score of BFI-I.

CONCLUSIONS

In accordance with literature, our study suggests that fatigue is a frequent symptom influenced by many constitutional, clinical and environmental factors. Our results highlight the need for an early and regular evaluation of fatigue among cancer patients, in order to implement all those pharmacological and non-pharmacological interventions with proven efficacy in attenuating this symptom.

Influence of Social Determinants, Lifestyle, Emotional Well-Being and the Use of Unconventional Therapies in Breast Cancer Progression in a Cohort of Women in Barcelona: Protocol for the DAMA Cohort

Background

Breast cancer continues to be the most commonly diagnosed cancer in women. Breast cancer survivors face numerous problems, especially after completing the first year of intense treatment. We present the protocol for an ongoing study to analyze the impact of a series of factors on breast cancer survival related to lifestyle, emotional well-being, and use of complementary and alternative medicine (CAM).

Objective

We aim to analyze the influence of social determinants, lifestyle changes, emotional well-being, and use of CAM in the progression of breast cancer in women diagnosed with breast cancer between 2003 and 2013 in Barcelona, Spain.

Methods

We will perform a mixed cohort study (prospective and retrospective) of women diagnosed with breast cancer, created using a convenience sample in which we study the evolution of the disease (relapse, death, or remaining disease-free). Once identified, we sent the women information about the study and an informed consent form that they are required to sign in order to participate; a total of 2235 women were recruited. We obtained the following information from all participants: sociodemographic profile via a phone interview, and a self-administered survey of information about the study’s objectives (lifestyles, emotional well-being, health care services, and the use of CAM). Lastly, we examined clinical records to obtain data on the tumor at the time of diagnosis, the treatment received, the occurrence of relapses (if any), and the tumor typology. We present data on the women’s social profile based on descriptive data obtained from the telephone interview (welcome survey).

Results

Based on the welcome survey, which was completed by 2712 women, 14.42% (391/2712) of respondents were <50 years of age, 45.50% (1234/2712) were between 50 and 65 years of age, and 40.08% (1087/2712) were >65 years of age. A total of 43.69% (1185/2712) belonged to the highest social classes (I and II), 31.27% (848/2712) to the middle class (III), and 23.49% (637/2712) to the working classes (IV and V). Approximately 22.71% (616/2712) lived alone, 38.31% (1039/2712) lived with one person, and 38.97% (1057/2712) lived with two or more people.

Conclusions

We obtained information from a large cohort of women, but this study has limitations related to the convenience sampling strategy, one of which is reduced representativeness. Conversely, being a self-administered survey, the study introduces biases, especially from respondents that answered on paper. However, the information that the study provides will serve as the basis for designing future interventions aimed at improving the knowledge gaps indicated for women with breast cancer.