Morning Fatigue Severity Profiles in Oncology Outpatients Receiving Chemotherapy

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.

Distinct Co-occurring Morning and Evening Fatigue Profiles in Patients With Gastrointestinal Cancers Receiving Chemotherapy

BACKGROUND

Patients with gastrointestinal cancers experience diurnal variations in fatigue severity during chemotherapy that decrease their functional status and quality of life.

OBJECTIVES

Study purposes were to identify subgroups of patients with distinct co-occurring morning and evening fatigue profiles and evaluate for differences among these subgroups in demographic, clinical, stress, and symptom characteristics.

METHODS

Patients with gastrointestinal cancers (n = 405) completed questionnaires 6 times over 2 cycles of chemotherapy. The Lee Fatigue Scale was used to evaluate diurnal variations in fatigue severity. Latent profile analysis was used to identify subgroups of patients with distinct co-occurring morning AND evening fatigue profiles. Differences among the subgroups in demographic, clinical, stress, and symptom characteristics at enrollment were evaluated using parametric and nonparametric analyses.

RESULTS

Two classes were identified, namely: low morning and moderate evening fatigue (ie, Low-Moderate, 60.0%) and high morning and high evening fatigue (ie, Both High, 40.0%). Compared with the Low-Moderate class, the Both High class was significantly younger, female, unmarried, and unemployed and lacked regular exercise. In addition, they had childcare responsibilities, lower annual income, lower functional status, higher comorbidity burden, and self-reported anemia and depression. Patients in the Both High class reported higher levels of anxiety, depressive symptoms, sleep disturbance, pain, and stress, and lower levels of energy and cognitive function.

CONCLUSIONS

Findings provide new insights into the risk factors for higher levels of co-occurring morning and evening fatigue in patients with gastrointestinal cancers.

IMPLICATIONS FOR PRACTICE

Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Distinct morning and evening fatigue profiles in gastrointestinal cancer during chemotherapy

BACKGROUND

Purposes were to identify subgroups of patients with gastrointestinal cancers with distinct morning and evening fatigue severity profiles and evaluate for differences among these subgroups in demographic and clinical characteristics, co-occurring symptoms and quality of life (QOL) outcomes.

METHODS

Patients with gastrointestinal cancers (n=405) completed questionnaires six times over two cycles of chemotherapy. Latent profile analysis was used to identify distinct morning and evening fatigue profiles. Differences in demographic and clinical characteristics, co-occurring symptoms and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests.

RESULTS

Two distinct mornings (ie, low and very high) and three distinct evenings (ie, low, moderate and very high) fatigue classes were identified. Common risk factors for both morning and evening fatigue included younger age, lower performance status, higher comorbidity burden and self-reported depression. Higher levels of morning fatigue were associated with being unmarried, living alone, being unemployed, having a lower income, lack of regular exercise and a self-reported diagnosis of anaemia. Higher levels of evening fatigue were associated with being women, white and having childcare responsibilities. Patients in the very high morning and evening fatigue classes reported higher levels of anxiety, depressive symptoms, sleep disturbance and pain and lower levels of attentional function and poorer QOL.

CONCLUSION

Findings provide new insights into risk factors for and deleterious effects of morning and evening fatigue in patients with gastrointestinal cancers. Clinicians can use this information to identify high-risk patients and develop individualised interventions for morning and evening fatigue and other co-occurring symptoms.

Beyond the symptom: the biology of fatigue

A workshop titled "Beyond the Symptom: The Biology of Fatigue" was held virtually September 27-28, 2021. It was jointly organized by the Sleep Research Society and the Neurobiology of Fatigue Working Group of the NIH Blueprint Neuroscience Research Program. For access to the presentations and video recordings, see: https://neuroscienceblueprint.nih.gov/about/event/beyond-symptom-biology-fatigue. The goals of this workshop were to bring together clinicians and scientists who use a variety of research approaches to understand fatigue in multiple conditions and to identify key gaps in our understanding of the biology of fatigue. This workshop summary distills key issues discussed in this workshop and provides a list of promising directions for future research on this topic. We do not attempt to provide a comprehensive review of the state of our understanding of fatigue, nor to provide a comprehensive reprise of the many excellent presentations. Rather, our goal is to highlight key advances and to focus on questions and future approaches to answering them.

Distinct Profiles of Morning and Evening Fatigue Co-Occurrence in Patients During Chemotherapy

BACKGROUND

Morning and evening fatigue are distinct and distressing symptoms experienced during chemotherapy that demonstrate a large amount of interindividual variability.

OBJECTIVES

The objectives of this study were to identify subgroups of patients with distinct morning and evening fatigue co-occurrence profiles and evaluate for differences among these subgroups in demographic, clinical, and symptom characteristics and quality of life.

METHODS

Oncology patients ( n = 1,334) completed the Lee Fatigue Scale to self-report morning and evening fatigue, six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct morning and evening physical fatigue profiles.

RESULTS

Four distinct morning and evening fatigue profiles were identified (i.e., Both Low, Low Morning + Moderate Evening, Both Moderate, and Both High). Compared to the Both Low profile, the Both High profile was significantly younger, less likely to be married or partnered, more likely to live alone, had a higher comorbidity burden, and lower functional status. The Both High profile had higher levels of anxiety, depressive symptoms, sleep disturbance, and pain and lower levels of quality of life.

DISCUSSION

The variability in the morning and evening severity scores among the four profiles supports the hypothesis that morning and evening fatigue are distinct but related symptoms. Clinically meaningful levels of both morning and evening fatigue were reported by 50.4% of our sample, which suggests that the co-occurrence of these two symptoms is relatively common. Patients in Both Moderate and Both High profiles experienced an extremely high symptom burden that warrants ongoing assessments and aggressive symptom management interventions.

Distinct Worst Pain Profiles in Oncology Outpatients Undergoing Chemotherapy

BACKGROUND

While pain is a significant problem for oncology patients, little is known about interindividual variability in pain characteristics.

OBJECTIVE

The aims of this study were to identify subgroups of patients with distinct worst pain severity profiles and evaluate for differences among these subgroups in demographic, clinical, and pain characteristics and stress and symptom scores.

METHODS

Patients (n = 934) completed questionnaires 6 times over 2 chemotherapy cycles. Worst pain intensity was assessed using a 0- to 10-point numeric rating scale. Brief Pain Inventory was used to assess various pain characteristics. Latent profile analysis was used to identify subgroups of patients with distinct pain profiles.

RESULTS

Three worst pain profiles were identified (low [17.5%], moderate [39.9%], severe [42.6%]). Compared with the other 2 classes, severe class was more likely to be single and unemployed and had a lower annual household income, a higher body mass index, a higher level of comorbidity, and a poorer functional status. Severe class was more likely to have both cancer and noncancer pain, a higher number of pain locations, higher frequency and duration of pain, worse pain quality scores, and higher pain interference scores. Compared with the other 2 classes, severe class reported lower satisfaction with pain management and higher global, disease-specific, and cumulative life stress, as well as higher anxiety, depression, fatigue, sleep disturbance, and cognitive dysfunction scores.

CONCLUSIONS

Unrelieved pain is a significant problem for more than 80% of outpatients.

IMPLICATIONS FOR PRACTICE

Clinicians need to perform comprehensive pain assessments; prescribe pharmacologic and nonpharmacologic interventions; and initiate referrals for pain management and psychological services.

Prediction of morning fatigue severity in outpatients receiving chemotherapy: less may still be more

INTRODUCTION

Fatigue is the most common and debilitating symptom experienced by cancer patients undergoing chemotherapy (CTX). Prediction of symptom severity can assist clinicians to identify high-risk patients and provide education to decrease symptom severity. The purpose of this study was to predict the severity of morning fatigue in the week following the administration of CTX.

METHODS

Outpatients (n = 1217) completed questionnaires 1 week prior to and 1 week following administration of CTX. Morning fatigue was measured using the Lee Fatigue Scale (LFS). Separate prediction models for morning fatigue severity were created using 157 demographic, clinical, symptom, and psychosocial adjustment characteristics and either morning fatigue scores or individual fatigue item scores. Prediction models were created using two regression and five machine learning approaches.

RESULTS

Elastic net models provided the best fit across all models. For the EN model using individual LFS item scores, two of the 13 individual LFS items (i.e., "worn out," "exhausted") were the strongest predictors.

CONCLUSIONS

This study is the first to use machine learning techniques to accurately predict the severity of morning fatigue from prior to through the week following the administration of CTX using total and individual item scores from the Lee Fatigue Scale (LFS). Our findings suggest that the language used to assess clinical fatigue in oncology patients is important and that two simple questions may be used to predict morning fatigue severity.

Higher Stress in Oncology Patients is Associated With Cognitive and Evening Physical Fatigue Severity

CONTEXT

Cognitive and physical fatigue are common symptoms experienced by oncology patients. Exposure to stressful life events (SLE), cancer-related stressors, coping styles, and levels of resilience may influence the severity of both dimensions of fatigue.

OBJECTIVES

Evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and coping in oncology patients (n=1332) with distinct cognitive fatigue AND evening physical fatigue profiles.

METHODS

Latent profile analysis, which combined the two symptom scores, identified three subgroups of patients with distinct cognitive fatigue AND evening physical fatigue profiles (i.e., Low, Moderate, High). Patients completed measures of global, cancer-specific, and cumulative life stress as well measures of resilience and coping. Differences among the latent classes in the various measures were evaluated using parametric and nonparametric tests.

RESULTS

Compared to Low class, the other two classes reported higher global and cancer-specific stress. In addition, they reported higher occurrence rates for sexual harassment and being forced to touch prior to 16 years of age. Compared to the other two classes, High class reported lower resilience scores and higher use of denial, substance use, and behavioral disengagement.

CONCLUSION

To decrease both cognitive and evening physical fatigue, clinicians need to assess for relevant stressors and initiate interventions to increase resilience and the use of engagement coping strategies. Additional research is warranted on the relative contribution of various social determinants of health to both cognitive and physical fatigue in oncology patients receiving chemotherapy.

Cumulative burden of symptomatology in patients with gynecologic malignancies undergoing chemotherapy

OBJECTIVE

Patients with gynecologic malignancies commonly experience distressing symptoms during chemotherapy. This study sought to evaluate whether symptoms accumulated over the course of several chemotherapy cycles, which could provide essential information for planning supportive interventions.

METHOD

Patients with gynecologic malignancies completed questionnaires about fatigue, depressive symptoms, sleep, and physical activity 1 week before and after chemotherapy cycles 1, 3, and 6. Multilevel models examined the effects of time (pre- and postchemotherapy), treatment cycle (1, 3, 6), and their interaction on symptoms. Logistic regression models examined the effects of time, treatment cycle, and their interaction on the proportion of participants exceeding thresholds for clinically meaningful symptomatology.

RESULTS

Most participants (N = 140; Mage = 60.8 years, SD = 10.4) had ovarian cancer (49%) and Stage III disease (55%). Participants reported worse fatigue, depressive symptoms, sleep disturbance, and sleep efficiency from pre- to posttreatment at each cycle (ps < .001). With each successive cycle, participants reported worse pretreatment fatigue (p < .001) and depressive symptoms (p < .01) but better sleep efficiency (p = .02). Fatigue increases attenuated across cycles (p = .04). There were no changes in physical activity. Across time points, at least half of participants met clinical thresholds for fatigue, sleep disturbance, and low sleep efficiency and were minimally physically active. Postchemotherapy cycle 6, 23% of participants reported clinically meaningful depressive symptoms.

CONCLUSIONS

Patients with gynecologic malignancies have high rates of clinically meaningful symptomatology during chemotherapy. Patients may experience a cumulative burden of symptomatology as treatment progresses, which could have therapeutic implications. Early implementation of supportive interventions should be considered to prevent or mitigate cumulative treatment burden. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Distinct Sleep Disturbance Profiles in Patients With Gastrointestinal Cancers Receiving Chemotherapy

BACKGROUND

Patients with gastrointestinal cancers experience moderate to high levels of sleep disturbance during chemotherapy that decreases their functional status and quality of life (QOL).

OBJECTIVE

The objectives of this study were to identify subgroups of patients with gastrointestinal cancers with distinct sleep disturbance profiles and evaluate for differences among these subgroups in demographic, clinical, and sleep characteristics, as well as co-occurring symptoms and QOL outcomes.

METHODS

Patients (n = 405) completed questionnaires 6 times over 2 cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct sleep disturbance profiles.

RESULTS

Three distinct sleep disturbance profiles (ie, low, high, very high) were identified. Compared with the low class, patients in the other 2 classes were significantly younger and less likely to be married and to exercise on a regular basis and received a higher number of previous treatments. Compared with the low class, patients in the other 2 classes reported higher levels of anxiety, depressive symptoms, morning and evening fatigue, and pain and lower levels of attentional function and QOL scores at enrollment.

CONCLUSIONS

This study is the first to use latent profile analysis to identify subgroups of patients with gastrointestinal cancers with distinct sleep disturbance profiles. Findings provide new insights on the associations between sleep disturbance and multiple co-occurring symptoms in these patients.

IMPLICATIONS FOR PRACTICE

Clinicians can identify patients who are at the highest risk for sleep disturbance and recommend a variety of sleep hygiene interventions (eg, establishment of a bedtime routine), as well as initiate interventions for other co-occurring symptoms.

Worst Pain Severity Profiles of Oncology Patients Are Associated With Significant Stress and Multiple Co-Occurring Symptoms

Little is known about the associations between pain, stress, and co-occurring symptoms in oncology patients. Purpose was to identify subgroups of patients with distinct worst pain profiles and evaluate for differences among the subgroups in demographic and clinical characteristics, as well as stress and symptom scores. Oncology outpatients (n = 1305) completed questionnaires prior to their second or third chemotherapy cycle. Worst pain intensity was assessed 6 times over 2 chemotherapy cycles using a 0 to 10 numeric rating scale. The 371 patients (28.4%) who had ≤1 occurrence of pain over the 6 assessments were classified as the None class. For the remaining 934 patients whose data were entered into the latent profile analysis, 3 distinct worst pain profiles were identified (ie Mild [12.5%], Moderate [28.6%], Severe [30.5%]). Compared to None class, Severe class had fewer years of education and a lower annual income; were less likely to be employed and married; less likely to exercise on a regular basis, had a higher comorbidity burden, and a worse functional status. Compared to None class, Severe class reported higher levels of general, disease-specific, and cumulative life stress and lower levels of resilience, as well as higher levels of depressive symptoms, anxiety, fatigue, sleep disturbance, and cognitive dysfunction. This study is the first to identify distinct worst pain profiles in a large sample of oncology patients receiving chemotherapy and associated risk factors. PERSPECTIVE: Unrelieved pain remains a significant problem for oncology patients receiving chemotherapy. High levels of stress and co-occurring symptoms contribute to a more severe pain profile in these patients.

Common and distinct characteristics associated with self-reported functional status in older patients with cancer receiving chemotherapy

PURPOSE

To evaluate for inter-individual differences in two subjective measures of functional status in older patients (n = 112), as well as to determine which demographic, clinical, and symptom characteristics, and levels of cognitive function, were associated with initial levels and with the trajectory of the two measures.

METHODS

Functional status was assessed using self-report measures of physical function (PF) and role function (RF) from the European Organization for Research and Treatment of Cancer Core Quality-of-Life Questionnaire at the initiation of chemotherapy and at 1, 3, 6, 9, and 12 months after its initiation. Hierarchical linear modeling was used to assess inter-individual differences in and characteristics associated with initial levels and changes in PF and RF.

RESULTS

Characteristics associated with decreases in PF at the initiation of chemotherapy were higher numbers of comorbidities and higher depression, pain, and dyspnea scores. For initial levels of poorer RF, lower Karnofsky Performance Status scores and higher pain and fatigue scores were the associated characteristics. Characteristic associated with worse trajectories of PF was not having had surgery. For RF, worse trajectories were associated with lower cognitive function and higher RF at enrollment. Characteristic associated with both lower initial levels and improved trajectories of PF was having lower performance status at enrollment.

CONCLUSIONS

Older patients undergoing chemotherapy experience reduced functional performance. Characteristics associated with decrements in PF and RF need to be assessed and interventions implemented to maintain and increase functional status in older oncology patients.

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.

Prediction of evening fatigue severity in outpatients receiving chemotherapy: less may be more

Background

Fatigue is the most common and debilitating symptom experienced by oncology patients undergoing chemotherapy. Little is known about patient characteristics that predict changes in fatigue severity over time.

Purpose

To predict the severity of evening fatigue in the week following the administration of chemotherapy using machine learning approaches.

Methods

Outpatients with breast, gastrointestinal, gynecological, or lung cancer (N=1217) completed questionnaires one week prior to and one week following administration of chemotherapy. Evening fatigue was measured with the Lee Fatigue Scale (LFS). Separate prediction models for evening fatigue severity were created using clinical, symptom, and psychosocial adjustment characteristics and either evening fatigue scores or individual fatigue item scores. Prediction models were created using two regression and three machine learning approaches.

Results

Random forest (RF) models provided the best fit across all models. For the RF model using individual LFS item scores, two of the 13 individual LFS items (i.e., "worn out", "exhausted") were the strongest predictors.

Conclusion

This study is the first to use machine learning techniques to predict evening fatigue severity in the week following chemotherapy from fatigue scores obtained in the week prior to chemotherapy. Our findings suggest that the language used to assess clinical fatigue in oncology patients is important and that two simple questions may be used to predict evening fatigue severity.

Distinct profiles of multiple co-occurring symptoms in patients with gastrointestinal cancers receiving chemotherapy

PURPOSE

Identify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes.

METHODS

Patients with GI cancers (n = 399) completed the Memorial Symptom Assessment Scale (MSAS) that was used to assess for multiple co-occurring symptoms. Latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles using symptom occurrence ratings. Differences in demographic and clinical characteristics and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests.

RESULTS

All Low (36.6%), Moderate (49.4%), and All High (14.0%) classes were identified. Compared to the All Low class, patients in the other two classes were significantly younger and were more likely to report depression and back pain. Compared to the other two classes, patients in the All High class had fewer years of education and a higher number of comorbidities. Significant differences were found among the three classes for comorbidity burden and total number of MSAS symptoms (i.e., All Low < Moderate < All High), as well as for performance status (i.e., All Low > Moderate > All High). A higher symptom burden was associated with poorer QOL outcomes.

CONCLUSIONS

The first study to identify subgroups of patients with GI cancers based on distinct symptom profiles. LCA allowed for the identification of risk factors associated with a higher symptom burden. Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Prevalence of Fatigue in Patients With Cancer: A Systematic Review and Meta-Analysis

CONTEXT

Fatigue is a particularly common and troubling symptom that has a negative impact on quality of life throughout all phases of treatment and stages of the illness among patients with cancer.

OBJECTIVES

The objective of this meta-analysis is to examine the present status of fatigue prevalence in patients with cancer.

METHODS

The following databases were searched: PubMed, MEDLINE, EMBASE, PsycINFO, Cochrane Library, from inception up to February 2020. Prevalence rates were pooled with meta-analysis using a random-effects model. Heterogeneity was tested using I-squared (I²) statistics.

RESULTS

A total of 129 studies (N = 71,568) published between 1993 and 2020 met the inclusion criteria. The overall prevalence of fatigue was 49% (34,947 of 71,656 participants, 95% CI = 45-53) with significant heterogeneity between studies (P < 0.000; τ² = 0.0000; I² = 98.88%). Subgroup analyses show that the prevalence of fatigue related to type of cancer ranged from 26.2% in patients with gynecological cancer to 56.3% in studies that included mixed types of cancer. In advanced cancer stage patients, the highest prevalence of fatigue (60.6%) was reported. Fatigue prevalence rates were 62% during treatment and 51% during mixed treatment status. The prevalence of fatigue decreased from 64% in studies published from 1996 to 2000 to 43% in studies published from 2016 to 2020. Metaregression identified female gender as a significant moderator for higher prevalence of fatigue, whereas mean age is not associated with fatigue.

CONCLUSION

This meta-analysis highlights the importance of developing optimal monitoring strategies to reduce fatigue and improve the quality of life of patients with cancer.

Higher levels of stress and different coping strategies are associated with greater morning and evening fatigue severity in oncology patients receiving chemotherapy

PURPOSE

A cancer diagnosis and associated treatments are stressful experiences for most patients. Patients' perceptions of stress and their use of coping strategies may influence fatigue severity. This study extends our previous work describing distinct profiles of morning (i.e., Very Low, Low, High, and Very High) and evening (i.e., Low, Moderate, High, and Very High) fatigue in oncology patients by evaluating for differences in stress and coping strategies among these fatigue classes.

METHODS

This longitudinal study evaluated for changes in morning and evening fatigue in oncology patients (n = 1332) over two cycles of chemotherapy (CTX). Patients completed measures of cumulative exposure to stressful life events (SLEs) (i.e., the Life Stressor Checklist-Revised), general stress (i.e., Perceived Stress Scale [PSS]), cancer-specific stress (i.e., Impact of Event Scale-Revised [IES-R]), and coping strategies (i.e., Brief Cope). Differences among the latent classes were evaluated using analyses of variance, Kruskal-Wallis, or chi-square tests.

RESULTS

Patients in both the Very High morning and evening fatigue classes reported higher numbers of and a higher impact from previous SLEs and higher PSS scores than the other fatigue classes. The IES-R scores for the Very High morning fatigue class met the criterion for subsyndromal PTSD. Patients in the Very High evening fatigue class used a higher number of engagement coping strategies compared with the Very High morning fatigue class.

CONCLUSIONS

Our findings suggest that interventions to reduce stress and enhance coping warrant investigation to decrease fatigue in patients undergoing CTX.