Fatigue, a major still underestimated issue

Metabolic underpinnings of cancer-related fatigue

Cancer-related fatigue (CRF) is one of the most prevalent and detrimental complications of cancer. Emerging evidence suggests that obesity and insulin resistance are associated with CRF occurrence and severity in cancer patients and survivors. In this narrative review, we analyzed recent studies including both preclinical and clinical research on the relationship between obesity and/or insulin resistance and CRF. We also describe potential mechanisms for these relationships, though with the caveat that because the mechanisms underlying CRF are incompletely understood, the mechanisms mediating the association between obesity/insulin resistance and CRF are similarly incompletely delineated. The data suggest that, in addition to their effects to worsen CRF by directly promoting tumor growth and metastasis, obesity and insulin resistance may also contribute to CRF by inducing chronic inflammation, neuroendocrinological disturbance, and metabolic alterations. Furthermore, studies suggest that patients with obesity and insulin resistance experience more cancer-induced pain and are at more risk of emotional and behavioral disruptions correlated with CRF. However, other studies implied a potentially paradoxical impact of obesity and insulin resistance to reduce CRF symptoms. Despite the need for further investigation utilizing interventions to directly elucidate the mechanisms of cancer-related fatigue, current evidence demonstrates a correlation between obesity and/or insulin resistance and CRF, and suggests potential therapeutics for CRF by targeting obesity and/or obesity-related mediators.

Characteristics and predictors associated with cancer-related fatigue among solid and liquid tumors

PURPOSE

Cancer-related fatigue (CRF) is a devastating complication with limited recognized clinical risk factors. We examined characteristics among solid and liquid cancers utilizing Machine learning (ML) approaches for predicting CRF.

METHODS

We utilized 2017 National Inpatient Sample database and employed generalized linear models to assess the association between CRF and the outcome of burden of illness among hospitalized solid and non-solid tumors patients. And further applied lasso, ridge and Random Forest (RF) for building our linear and non-linear ML models.

RESULTS

The 2017 database included 196,330 prostate (PCa), 66,385 leukemia (Leuk), 107,245 multiple myeloma (MM), and 41,185 cancers of lip, oral cavity and pharynx (CLOP) patients, and among them, there were 225, 140, 125 and 115 CRF patients, respectively. CRF was associated with a higher burden of illness among Leuk and MM, and higher mortality among PCa. For the PCa patients, both the test and the training data had best areas under the ROC curve [AUC = 0.91 (test) vs. 0.90 (train)] for both lasso and ridge ML. For the CLOP, this was 0.86 and 0.79 for ridge; 0.87 and 0.84 for lasso; 0.82 for both test and train for RF and for the Leuk cohort, 0.81 (test) and 0.76 (train) for both ridge and lasso.

CONCLUSION

This study provided an effective platform to assess potential risks and outcomes of CRF in patients hospitalized for the management of solid and non-solid tumors. Our study showed ML methods performed well in predicting the CRF among solid and liquid tumors.

A prediction model for moderate to severe cancer-related fatigue in colorectal cancer after chemotherapy: a prospective case‒control study

AIMS

The study aims to develop a model to predict the risk of moderate to severe cancer-related fatigue (CRF) in colorectal cancer patients after chemotherapy.

METHODS

The study population was colorectal cancer patients who received chemotherapy from September 2021 to June 2022 in a grade 3 and first-class hospital. Demographic, clinical, physiological, psychological, and socioeconomic factors were collected 1 to 2 days before the start of chemotherapy. Patients were followed up for 1 to 2 days after the end of chemotherapy to assess fatigue using the Piper Fatigue Scale. A random sampling method was used to select 181 patients with moderate to severe CRF as the case group. The risk set sampling method was used to select 181 patients with mild or no CRF as the control group. Logistic regression, back-propagation artificial neural network (BP-ANN), and decision tree models were constructed and compared.

RESULTS

A total of 362 patients consisting of 241 derivation samples and 121 validation samples were enrolled. Comparing the three models, the prediction effect of BP-ANN was the best, with a receiver operating characteristic (ROC) curve of 0.83. Internal and external verification indicated that the accuracy of prediction was 70.4% and 80.8%, respectively. Significant predictors identified were surgery, complications, hypokalaemia, albumin, neutrophil percentage, pain (VAS score), Activities of Daily Living (ADL) score, sleep quality (PSQI score), anxiety (HAD-A score), depression (HAD-D score), and nutrition (PG-SGA score).

CONCLUSIONS

BP-ANN was the best model, offering theoretical guidance for clinicians to formulate a tool to identify patients at high risk of moderate to severe CRF.

Management of Fatigue in Patients with Advanced Cancer

OPINION STATEMENT

Fatigue is a common and distressing symptom experienced by patients with cancer. It is most common in patients with locally advanced or metastatic incurable disease. It can have profound effects on quality-of-life and physical functioning. In addition to general supportive measures (directed at tackling contributory conditions and comorbidities), a variety of specific interventions have been developed which can be broadly categorised as physical therapies, psychological therapies or medication. There is some evidence that each of these approaches can have benefits in patients with earlier stage disease, those undergoing active treatment and in cancer survivors. The best evidence is for aerobic exercise, yoga, cognitive-behavioural therapy (CBT) and psycho-educational interventions. Less strong evidence supports the use of medications such as methylphenidate or ginseng. In patients with advanced disease, it is likely that the mechanisms of fatigue or the factors contributing to fatigue maintenance may be different. Relatively fewer studies have been undertaken in this group and the evidence is correspondingly weaker. The authors recommend the cautious use of aerobic exercise (e.g. walking) in those who are still mobile. The authors advise considering the use of psycho-educational approaches or CBT in those patients who are able to engage in such forms of therapy. In patients near the end-of-life, the authors advise use of dexamethasone (short-term use) and other pharmacological treatments only on the basis of a clinical trial.

Development and external validation of a machine learning-based prediction model for the cancer-related fatigue diagnostic screening in adult cancer patients: a cross-sectional study in China

PURPOSE

Cancer-related fatigue (CRF) is the most common symptom in cancer patients and may interfere with patients' daily activities and decrease survival rate. However, the etiology of CRF has not been identified. Diagnosing CRF is challenging. Thus, our study aimed to develop a CRF prediction model in cancer patients, using data that healthcare professionals routinely obtained from electronic health records (EHRs) based on the 3P model and externally validate this model in an independent dataset collected from another hospital.

METHODS

Between April 2022 and September 2022, a cross-sectional study was conducted on adult cancer patients at two first-class tertiary hospitals in China. Data that healthcare professionals routinely obtained from electronic health records (EHRs) based on the 3P model were collected. The outcome measure was according to ICD-10 diagnostic criteria for CRF. Data from one hospital (n = 305) were used for model development and internal validation. An independent data set from another hospital (n = 260) was utilized for external validation. logistic regression, random forest (RF), Naive Bayes (NB), and extreme gradient boosting (XGBoost) were constructed and compared. The model performance was evaluated in terms of both discrimination and calibration.

RESULTS

The prevalence of CRF in the two centers was 57.9% and 56.1%, respectively. The Random Forest model achieved the highest AUC of 0.86 among the four types of classifiers in the internal validation. The AUC of RF and NB were above 0.7 in the external validation, suggesting that the models also have an acceptable generalization ability.

CONCLUSIONS

The incidence of CRF remains high and deserves more attention. The fatigue prediction model based on the 3P theory can accurately predict the risk of CRF. Nonlinear algorithms such as Random Forest and Naive Bayes are more suitable for diagnosing and evaluating symptoms.

A structural equation modeling approach to understanding physical function of terminal cancer patients

PURPOSE

Understanding the activities of daily living (ADL) of cancer patients at the end-of-life stage may help healthcare providers develop interventions for preserving physical function and enhance patient's dignity in an everyday care context. This study aims to develop and test a causal effect model of physical function in terminal cancer patients.

METHODS

A total of 238 participants were recruited from two hospitals in South Korea. The data were collected using a structured questionnaire including demographics, visual analogue scale for pain, Functional Assessment of Chronic Illness Therapy-Fatigue, and Katz index of independence in ADL. The collected data were analyzed using SPSS WIN 25.0 and AMOS 23.0 programs for structural equation modeling procedures.

RESULTS

Most participants were aged 65 years or older (65.5%), male (53.8%), and inpatients (74.4%). The most common primary cancer site was gastrointestinal tract (44.1%). Physical function of the participants was positively influenced by regular exercise and negatively influenced by hospitalization, fatigue, and pain, explaining 35.1% of the variance. In this study, regular exercise improved participants' ADL level directly and indirectly either by reducing fatigue or decreasing fatigue through controlling pain. Pain did not affect ADL directly but decreased ADL level indirectly through fatigue as a mediator.

CONCLUSION

ADL was positively influenced by regular exercise and was negatively influenced by hospitalization, fatigue, and pain. Based on these results, in order to minimizing the problems of physical function in terminal cancer patients, interventions that reduce pain and fatigue and provide regular exercise are required.

Efficacy of Qigong Exercise for Treatment of Fatigue: A Systematic Review and Meta-Analysis

Objective: Several studies suggested that Qigong exercise (QE) can relieve fatigue in patients diagnosed with various diseases. Our review aimed to evaluate the efficacy of QE for alleviating fatigue. Methods: A related literature search was performed in the PubMed, Web of Science, Embase, Cochrane Library, China Biology Medicine disc (CBM), China National Knowledge Infrastructure (CNKI), Wanfang, and VIP data bases from inception to November 2020. Information on fatigue, malaise, tiredness, and Qigong research data was collected. Results: Sixteen randomized controlled trials (RCTs) were reported in patients with cancer (n = 4), chronic fatigue syndrome (n = 2), and other diseases (n = 10). The QE groups showed significant improvements in total fatigue intensity [15 RCTs, p < 0.00001; standard mean difference (SMD) -0.69 (-0.95 to -0.44)]. The QE groups did not show significant improvement in quality of life [4 RCTs, p = 0.08; SMD 0.53 (-0.07 to 1.14)]. The statistically significant difference of the subgroup analyses (different primary diseases, QE types, and study quality) also remained unchanged. Conclusion: The findings of this meta-analysis indicate that QE may be beneficial for improving fatigue in patients diagnosed with various diseases. Considering the limitations of the study, we draw a very cautious conclusion regarding the resulting estimate of the effect. Further studies are warranted to better understand the benefits of QE in primary medical care.

Supportive care for cancer patients: a survey of available settings and current practices in Belgium

INTRODUCTION

The increasing number of cancer diagnoses and deaths underlines the importance of supportive and palliative care. It is defined as "all the care and the support necessary for patients throughout their illness."

AIM

To evaluate the current status of the supportive and palliative care organization in Belgium.

METHODS

The Belgian Society of Medical Oncology (BSMO) supportive care task force conducted an observational study by sending a 31-point questionnaire to medical doctors responsible for the supportive care units of university, public, or private hospitals in Belgium.

RESULTS

Thirty centers completed the questionnaire, of which 12 were university hospitals. Inpatient supportive care units are available in more than 50% of the centers, whereas outpatient supportive care is less available in Brussels than in Flanders and Wallonia. Multidisciplinary teams or specific units dedicated exclusively to supportive care are represented less frequently in all 3 areas of Belgium. Intensive care units for cancer patients are even scarcer. In terms of research and teaching, active research is present in 10 (33%) centers. Of complementary and alternative medicine modalities available to cancer patients, mindfulness and massage are offered most frequently. Reference guidelines for various symptoms are widely used in Flanders and Brussels but less so in Wallonia.

CONCLUSION

This is the first in-depth survey in Belgium that shows the limited availability of dedicated supportive care services throughout the country. This represents an unmet need for Belgian cancer patients. Within the BSMO supportive care task force, there is a great opportunity to expand services and develop active research in the area of supportive and palliative care.

QualFatigue study: which factors influence the use of specific interventions for breast cancer survivors with fatigue? A cross-sectional exploratory study

PURPOSE

International guidelines recommend specific interventions to reduce cancer-related fatigue (CRF). Evidence suggests underutilization of these interventions among breast cancer survivors. The QualFatigue study aimed to explore the potential factors influencing the use of specific interventions, for relief, in patients with CRF through qualitative analyses.

METHODS

Patients with stage I-III breast cancer, and CRF ≥4 on a 10-point numerical scale were recruited within 6-24 months at the end of their primary treatment. Semi-structured interviews were performed. Emergent themes were identified using a stepped content analysis (QDA Miner software).

RESULTS

Data saturation was achieved with 15 interviews. Four main themes emerged as potential sources of influence in the participants' use of specific interventions: (1) expectations regarding the management of CRF, (2) representations of the benefits provided by the interventions, (3) individual physical and psychological conditions, and (4) social and environmental situations. Six key levers came out transversally to optimize the use of specific interventions to relieve CRF: (1) listening and recognition of the individual difficulties and needs; (2) individual and global health assessments; (3) information and advice on how to manage CRF; (4) discussion groups focused on the management of CRF; (5) group activities; and (6) professional and personalized guidance.

CONCLUSION

This study calls for multi-level action to address many persistent barriers and exploit levers in the management of CRF.

Cancer-Related Fatigue: Causes and Current Treatment Options

Cancer-related fatigue (CRF) is a problem for a significant proportion of cancer survivors during and after active cancer treatment. However, CRF is underdiagnosed and undertreated. Interventions are available for CRF although there is no gold standard. Based on current level of evidence, exercise seems to be most effective in preventing or ameliorating CRF during the active- and posttreatment phases.

The Experiences of Cancer-Related Fatigue among Adult Cancer Patients: A Systematic Review

Introduction: Cancer-related fatigue (CRF) is one of the symptoms commonly experienced and it is a subjective feeling felt by cancer patients. The aim of this systematic review was to summarize how fatigue has been described from the perspective of adult cancer patients, the impact of fatigue on their quality of life, what the patient reported as contributing factors and potential coping strategies to reduce fatigue.Methods: A systematic review is in line with PRISMA guidelines. Five databases were systematically searched (Scopus, PubMed, Springerlink, ProQuest and Science Direct) from January 2009 to February 2019 for qualitative studies describing the experience of adult cancer patients using a predefined search strategy and any relevant keywords.Results: In total, 13 out of 4692 studies were included. The ages of the included patient cancer ranged from 26 to 84 years. The majority of studies used in-depth interviews and semi-structured interviews to elicit the participant’s experiences of fatigue. Four themes were identified: the perception of cancer-related fatigue, the etiology of cancer fatigue, impact and coping strategies.Conclusion: Fatigue is impactful on quality of life from the perspective of cancer patients. Future research should focus on the prospective exploration of the impact of fatigue on woman's and men's health and identifying approaches to reduce fatigue. 

The holistic management of fatigue within palliative care

BACKGROUND

Fatigue is a common symptom experienced by people with cancer and other long-term, non-malignant conditions. It can be disease-related or caused by treatments such as chemotherapy or radiotherapy. Patients frequently report this as a distressing symptom and, while some international guidelines for its management exist, evidence suggests that these are not always implemented.

METHOD

This article reviews the evidence basis for fatigue management, looking at exercise, education, psychological interventions, complementary therapies and pharmacological therapy, and finds that a one-size fits all approach to fatigue management is unrealistic.

FINDINGS

Research appears to support different interventions at various points in the disease trajectory and this is of importance for service design as palliative care is increasingly introduced earlier in the patient's pathway.

CONCLUSION

Although the body of research is growing, management of fatigue caused by non-malignant conditions remains poorly evidenced, making comprehensive recommendations for these patient groups even more challenging.

Assessing spirituality: is there a beneficial role in the management of COPD?

Here,we report on the role of spirituality assessment in the management of chronic obstructive pulmonary disease (COPD). Although a positive effect of addressing spirituality in health care has been proved in a number of chronic diseases, its potential in COPD has received less attention. Although limited, available evidence suggests that spirituality may play an important role in improving quality of life of patients with COPD. The fruitful results in other long-term conditions may lay the foundation for further research on addressing spirituality in COPD. This should focus where the burden of COPD is greatest, including low-resource settings globally. Implementation research should include exploration of an acceptable consultation process to identify patients who would welcome spiritual discussions; how to integrate spiritual approaches into health care professional curricula so that they are aware of its importance and have the confidence to raise it with patients and how to integrate spiritual approaches into holistic COPD care.