Identification Of A Higher Risk Lymphedema Phenotype And Associations With Cytokine Gene Polymorphisms

CONTEXT

Breast cancer-related lymphedema (BCRL) is chronic condition that occurs in 5% to 75% of women following treatment for breast cancer. However, little is known about the risk factors and mechanisms associated with a worse BCRL profile.

OBJECTIVES

Identify distinct BCRL profiles in women with the condition (i.e., lower vs. higher risk phenotype) and evaluate for associations with pro- and anti-inflammatory genes.

METHODS

Latent class profile analysis (LCPA) was used to identify the BCRL profiles using phenotypic characteristics evaluated prior to surgery. Candidate gene analyses were done to identify cytokine genes associated with the two BCRL profiles.

RESULTS

Of the 155 patients evaluated, 35.5% (n = 55) were in the Lower and 64.5% (n = 100) were in the Higher Risk classes. Risk factors for membership in the Higher class included: lower functional status, having sentinel lymph node biopsy, axillary lymph node dissection, mastectomy, higher number of positive lymph nodes, and receipt of chemotherapy. Polymorphisms for interleukin (IL)1-beta and IL6 were associated with membership in the Higher Risk class.

CONCLUSION

The readily available and clinically relevant phenotypic characteristics associated with a worse BCRL profile can be used by clinicians to identify higher risk patients. If confirmed, these characteristics can be tested in predictive risk models. In addition, the candidate gene findings may guide the development of mechanistically-based interventions to decrease the risk of BCRL.

Neurodegenerative disease pathways are perturbed in patients with cancer who self-report cognitive changes and anxiety: A pathway impact analysis

BACKGROUND

Cancer-related cognitive impairment (CRCI) and anxiety co-occur in patients with cancer. Little is known about mechanisms for the co-occurrence of these two symptoms. The purposes of this secondary analysis were to evaluate for perturbed pathways associated with the co-occurrence of self-reported CRCI and anxiety in patients with low versus high levels of these two symptoms and to identify potential mechanisms for the co-occurrence of CRCI and anxiety using biological processes common across any perturbed neurodegenerative disease pathways.

METHODS

Patients completed the Attentional Function Index and the Spielberger State-Trait Anxiety Inventory six times over two cycles of chemotherapy. Based on findings from a previous latent profile analysis, patients were grouped into none versus both high levels of these symptoms. Gene expression was quantified, and pathway impact analyses were performed. Signaling pathways for evaluation were defined with the Kyoto Encyclopedia of Genes and Genomes database.

RESULTS

A total of 451 patients had data available for analysis. Approximately 85.0% of patients were in the none class and 15.0% were in the both high class. Pathway impact analyses identified five perturbed pathways related to neurodegenerative diseases (i.e., amyotrophic lateral sclerosis, Huntington disease, Parkinson disease, prion disease, and pathways of neurodegeneration-multiple diseases). Apoptosis, mitochondrial dysfunction, oxidative stress, and endoplasmic reticulum stress were common biological processes across these pathways.

CONCLUSIONS

This study is the first to describe perturbations in neurodegenerative disease pathways associated with CRCI and anxiety in patients receiving chemotherapy. These findings provide new insights into potential targets for the development of mechanistically based interventions.

Self-Reported Cancer-Related Cognitive Impairment in Patients With Breast Cancer Is Associated With Potassium Channel Gene Polymorphisms

OBJECTIVES

To evaluate for associations of polymorphisms for potassium channel genes in patients with breast cancer who were classified as having high or low-moderate levels of cancer-related cognitive impairment (CRCI).

SAMPLE & SETTING

397 women who were scheduled to undergo surgery for breast cancer on one breast were recruited from breast care centers located in a comprehensive cancer center, two public hospitals, and four community practices.

METHODS & VARIABLES

CRCI was assessed using the Attentional Function Index prior to and for six months after surgery. The attentional function classes were identified using growth mixture modeling.

RESULTS

Differences between patients in the high versus low-moderate attentional function classes were evaluated. Six single nucleotide polymorphisms for potassium channel genes were associated with low-moderate class membership.

IMPLICATIONS FOR NURSING

The results contribute to knowledge of the mechanisms for CRCI. These findings may lead to the identification of high-risk patients and the development of novel therapeutics.

Perturbations in inflammatory pathways are associated with shortness of breath profiles in oncology patients receiving chemotherapy

PURPOSE

One plausible mechanistic hypothesis is the potential contribution of inflammatory mechanisms to shortness of breath. This study was aimed to evaluate for associations between the occurrence of shortness of breath and perturbations in inflammatory pathways.

METHODS

Patients with cancer reported the occurrence of shortness of breath six times over two cycles of chemotherapy. Latent class analysis was used to identify subgroups of patients with distinct shortness of breath occurrence profiles (i.e., none (70.5%), decreasing (8.2%), increasing (7.8%), high (13.5%)). Using an extreme phenotype approach, whole transcriptome differential gene expression and pathway impact analyses were performed to evaluate for perturbed signaling pathways associated with shortness of breath between the none and high classes. Two independent samples (RNA-sequencing (n = 293) and microarray (n = 295) methodologies) were evaluated. Fisher's combined probability method was used to combine these results to obtain a global test of the null hypothesis. In addition, an unweighted knowledge network was created using the specific pathway maps to evaluate for interconnections among these pathways.

RESULTS

Twenty-nine Kyoto Encyclopedia of Genes and Genomes inflammatory signaling pathways were perturbed. The mitogen-activated protein kinase signaling pathway node had the highest closeness, betweenness, and degree scores. In addition, five common respiratory disease-related pathways, that may share mechanisms with cancer-related shortness of breath, were perturbed.

CONCLUSIONS

Findings provide preliminary support for the hypothesis that inflammation contribute to the occurrence of shortness of breath in patients with cancer. In addition, the mechanisms that underlie shortness of breath in oncology patients may be similar to other respiratory diseases.

Increases in stress and adverse childhood experiences are associated with the co-occurrence of anxiety and depression in oncology patients

PURPOSE

Identify subgroups of patients with distinct joint anxiety AND depression profiles and evaluate for differences in demographic and clinical characteristics, as well as stress, resilience, and coping.

DESIGN

Longitudinal study.

PARTICIPANTS

Patients (n = 1328) receiving chemotherapy.

METHODS

Measures of state anxiety and depression were done six times over two cycles of chemotherapy. All of the other measures were completed prior to second or third cycle of chemotherapy. Latent profile analysis was used to identify the distinct joint anxiety and depression profiles.

FINDINGS

Three classes were identified (i.e. Low Anxiety and Low Depression (57.5%); Moderate Anxiety and Moderate Depression (33.7%), High Anxiety and High Depression (8.8%)). For all of the stress measures, a dose response effect was seen among the profiles. Two worst profiles reported higher occurrence rates for a number of adverse childhood experiences.

IMPLICATIONS FOR PROVIDERS

Patients need referrals for stress reduction techniques and mental health and social services.

Associations of frailty with symptoms, and HRQOL in older cancer survivors after cancer treatments: a systematic review and meta-analyses

PURPOSE

Frailty in older adult cancer survivors after cancer treatments is associated with various health outcomes. However, there is less agreement on how frailty affects symptoms and health-related quality of life (HRQOL). This systematic review and meta-analysis aimed to evaluate the current literature on frailty, symptoms, and HRQOL, as well as the associations of frailty with these factors in older adult cancer survivors with chemotherapy.

METHODS

A review was conducted on peer-reviewed publications from 2008 to 2023, using seven electronic databases. Meta-analyses were performed using random effects models to determine pooled effect estimates for frailty prevalence, symptom severity, and HRQOL scores.

RESULTS

A total of 26 studies involving older cancer survivors were included in the analysis. Most of these studies were conducted in Western countries and focused on White survivors, particularly those with breast cancer. The mean pooled prevalence of frailty was 43.5%. Among frail survivors, the most common symptoms reported after cancer treatments were pain (36.4%), neuropathy (34.1%), and fatigue (21.3%). Frailty was associated with higher pooled mean symptom severity (B = 1.23, p = 0.046) and lower functional HRQOL (B = - 0.31, p = 0.051, with marginal significance) after cancer treatments.

CONCLUSION

Frail older cancer survivors are at high risk of adverse symptoms and poor HRQOL after cancer treatment. Further research on screening for frailty is needed to prevent older adults from developing worse symptoms burden and maintain HRQOL. It is also essential to understand the mechanisms of the associations between frailty, symptoms and HRQOL in this population.

Exploration of the Relationships Between Stress and Distinct Pain and Sleep Disturbance Profiles in Patients Undergoing Chemotherapy

BACKGROUND

Unrelieved pain and sleep disturbance are common symptoms in oncology patients. Increased stress may be an underlying cause for both symptoms.

OBJECTIVES

The purposes of this study were to identify subgroups of outpatients with distinct pain and sleep disturbance profiles and to evaluate differences among these subgroups in demographic and clinical characteristics. Differences in global stress, cancer-specific stress, and cumulative life stress, as well as resilience and coping, were evaluated.

METHODS

Patients (N = 1343) completed self-report questionnaires for demographic and clinical characteristics and stress, resilience, and coping. Latent profile analysis was used to identify subgroups of patients with distinct pain and sleep disturbance profiles. Differences among the subgroups were determined using parametric and nonparametric tests.

RESULTS

Three distinct profiles were identified (ie, No Pain + Moderate Sleep Disturbance (SD) (27.6%), Moderate Pain + Moderate SD (38.6%), Severe Pain + High SD (33.8%)). Compared with the other 2 classes, Severe Pain + High SD class was younger, had fewer years of education, was more likely to be female, more likely to live alone, less likely to be employed, and had a higher level of comorbidity. This class had the highest stress scores and was more likely to report higher rates of adverse childhood experiences.

CONCLUSION

Over 70% of our sample reported clinically meaningful levels of both symptoms, and 33.8% reported relatively high rates of adverse childhood experiences.

IMPLICATION FOR PRACTICE

Clinicians need to perform routine assessments, particularly of adverse childhood experiences, and initiate appropriate referrals.

Digital Health to Patient-Facing Artificial Intelligence: Ethical Implications and Threats to Dignity for Patients With Cancer

Ethical considerations for patient-facing AI for oncology: dignity, autonomy, safety, equity, inclusivity.

Stress Exposures Contribute to Worse Joint Morning and Evening Fatigue Profiles in Patients With Cancer During Chemotherapy

OBJECTIVES

To evaluate differences among stress, resilience, and coping strategies related to morning and evening fatigue profiles (both low, low morning and moderate evening, both moderate, and both high).

SAMPLE & SETTING

Data were collected from 1,334 adult patients with cancer receiving chemotherapy.

METHODS & VARIABLES

Morning and evening fatigue severity were rated over two cycles of chemotherapy using the Lee Fatigue Scale. Latent profile analysis was used to identify patient subgroups with distinct joint morning and evening profiles. Data were collected on global, cancer-specific, and cumulative life stress; resilience; and coping strategies. Differences among the latent classes were evaluated using parametric and nonparametric tests.

RESULTS

Compared to the other three classes, the both high class reported the highest stress scores, highest occurrence of and effects from a variety of stressful life events, lowest resilience scores, and higher use of disengagement coping strategies. The both high class met the criteria for subsyndromal post-traumatic stress disorder.

IMPLICATIONS FOR NURSING

When patients report high levels of fatigue, detailed assessments of stress are warranted to provide tailored interventions.

Stability and consistency of symptom clusters in younger versus older patients receiving chemotherapy

BACKGROUND

By 2035, the number of newly diagnosed cancer cases will double and over 50% will be in older adults. Given this rapidly growing demographic, a need exists to understand how age influences oncology patients' symptom burden. The study purposes were to evaluate for differences in the occurrence, severity, and distress of 38 symptoms in younger (< 60 years) versus older (≥ 60 years) oncology patients undergoing chemotherapy and to evaluate for differences in the stability and consistency of symptom clusters across the two age groups.

METHODS

A total of 1329 patients were dichotomized into the younger and older groups. Patients completed demographic and clinical questionnaires prior to the initiation of their second or third cycle of chemotherapy. A modified version of Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress of 38 common symptoms associated with cancer and its treatment. Differences between the two age groups in demographic and clinical characteristics and ratings of occurrence, severity, and distress for the 38 symptoms were evaluated using parametric and nonparametric tests. Exploratory factor analyses were done within each age group to identify symptom clusters using symptom occurrence rates.

RESULTS

Compared to the younger group (14.8 (± 7.0)), older adults reported a lower mean number of symptoms (12.9 (± 7.2)). Older patients experienced lower occurrence rates for almost 50% of the symptoms. Regarding symptom clusters, an eight-factor solution was selected for both age groups. Across the two age groups, the eight symptom clusters (i.e., physical and cognitive fatigue, respiratory, psychological, hormonal, chemotherapy-related toxicity, weight gain, gastrointestinal, epithelial) were stable. However, symptoms within the physical and cognitive, chemotherapy-related toxicity, and gastrointestinal clusters were not consistent across the age groups.

CONCLUSIONS

To be able to provide tailored and effective symptom management interventions to older oncology patients, routine assessments of the core symptoms unique to the symptom clusters identified for this group warrants consideration. The underlying mechanism(s) for these inconsistencies in symptom burden is an important focus for future studies.

Increased Stress Is Associated With Severe Pain and Decrements in Cognitive Function in Patients Receiving Chemotherapy

OBJECTIVES

Purposes were to identify subgroups of adult oncology patients (n = 1342) with distinct joint profiles of worst pain and cognitive function (CF) and evaluate for differences in demographic and clinical characteristics, as well as the severity of three distinct types of stress, resilience, and coping.

DATA SOURCES

Measures of pain and CF were evaluated six times over two cycles of chemotherapy. The other measures of demographic and clinical characteristics, stress, resilience, and coping were completed at enrollment (ie, prior to the second or third cycle of chemotherapy).

RESULTS

Using latent profile analysis, four distinct profiles were identified (ie, no pain + moderate CF [27.6%], moderate pain + high CF [22.4%] moderate pain and moderate CF [32.4%, both moderate], severe pain and low CF [17.5%, both severe]). Both moderate and both severe classes reported higher global, cancer-specific, and cumulative life stress, lower levels of resilience, and greater use of disengagement coping strategies. The Both severe class had higher occurrence rates for a number of adverse childhood experiences (ie, family violence in childhood, physical abuse at <16 years, forced sex at <16 years). Risk factors associated with membership in the two worst profiles included: being female, having a lower annual income, having a higher comorbidity burden, and having a poorer functional status.

CONCLUSION

Findings suggest that 72.4% of the patients reported pain scores in the moderate to severe range and 77.6% reported low to moderate levels of CF. Clinicians need to assess for both symptoms and various types of stress on a routine basis.

Various types of stress and greater use of disengagement coping are associated with worse sleep disturbance in oncology patients undergoing chemotherapy

Various types of stress and the choice of coping strategies may be risk factors for higher levels of sleep disturbance in oncology patients. Purposes were to evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and the use of coping strategies among three subgroups of patients with distinct sleep disturbance profiles (i.e., Low, High, Very High). Oncology outpatients (n = 1331) completed measures of global (Perceived Stress Scale), cancer-specific (Impact of Event Scale-Revised), and cumulative life (Life Stressor Checklist-Revised) stress, resilience (Connor-Davidson Resilience Scale) and coping (Brief Cope) prior to their second or third cycle of chemotherapy. Sleep disturbance was assessed six times over two chemotherapy cycles. Differences were evaluated using parametric and non-parametric tests. All stress measures showed a dose response effect (i.e., as the sleep disturbance profile worsened, levels of all types of stress increased). Compared to Low class, the other two classes reported higher levels of global perceived stress and higher occurrence rates and effect from previous stressful life events. Impact of Event Scale-Revised scores for the Very High class indicated post-traumatic symptomatology. Patients in High and Very High classes had resilience scores below the normative score for the United States population and used a higher number of disengagement coping strategies. Our findings suggest that very high levels of sleep disturbance are associated with higher levels of various types of stress, lower levels of resilience, and higher use of disengagement coping strategies. Clinicians need to perform routine assessments and implement symptom management interventions to reduce stress and encourage the use of engagement coping strategies.

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.

Worse Depression Profiles Are Associated With Higher Symptom Burden and Poorer Quality of Life in Patients With Gynecologic Cancer

BACKGROUND

Depression is a pervasive symptom in patients with gynecological cancer undergoing chemotherapy.

OBJECTIVES

Purposes were to identify subgroups of patients with distinct depression profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life (QOL) outcomes among these subgroups.

METHODS

Patients with gynecological cancer (n = 231) completed the Center for Epidemiologic Studies-Depression Scale 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 done to identify the distinct depression profiles. Differences were evaluated using parametric and nonparametric tests.

RESULTS

Three distinct profiles were identified: low (60.1%), high (35.1%), and very high (4.8%). Compared with low class, the other 2 classes had lower functional status and were more likely to self-report a diagnosis of depression. Patients in the 2 worse profiles reported a higher comorbidity burden, higher levels of trait and state anxiety, sleep disturbance, and fatigue, as well as lower levels of cognitive function and poorer QOL. State and trait anxiety, evening fatigue, and sleep disturbance scores exhibit a "dose-response effect" (ie, as the depression profile worsened, the severity of these symptoms increased).

CONCLUSIONS

Almost 40% of our sample experienced high or very high levels of depression across 2 cycles of chemotherapy.

IMPLICATIONS FOR PRACTICE

Clinicians can use the identified risk factors to identify high patients risk and provide tailored psychological interventions aimed to decrease symptom burden and prevent decrements in QOL.

Symptom clusters in oncology outpatients: stability and consistency across a cycle of chemotherapy

OBJECTIVES

Improved understanding of the stability and consistency of symptom clusters across time, symptom dimensions and cancer diagnoses will lead to refinements in symptom assessments and management, and provide direction for mechanistic studies. Study purposes were to describe the occurrence, severity and distress of 38 symptoms; evaluate the stability and consistency of symptom clusters across a cycle of chemotherapy, three symptom dimensions and four distinct cancer types; and identify common and distinct symptom clusters.

METHODS

Oncology outpatients (n=1329) completed the Memorial Symptom Assessment Scale prior to their next cycle of chemotherapy (T1), 1 week after chemotherapy (T2) and 2 weeks after chemotherapy (T3). Symptom clusters were identified using exploratory factor analysis using unweighted least squares. GEOMIN rotated factor loadings with absolute values ≥0.40 were considered meaningful. Clusters were stable if they were identified across each time point and/or dimension. Clusters were consistent if the same two or three symptoms with the highest factor loadings were identified across each time point and/or dimension.

RESULTS

Patients reported 13.9 (±7.2) symptoms at T1, 14.0 (±7.0) at T2 and 12.2 (±6.8) at T3. Psychological, weight gain, gastrointestinal and respiratory clusters were stable across time and dimensions. Only the psychological, weight gain and respiratory clusters were consistent across time and dimensions.

CONCLUSION

Given the stability of the psychological, weight gain and gastrointestinal clusters across cancer diagnoses, symptoms within these clusters need to be routinely assessed. However, respiratory and hormonal clusters are unique to specific cancer types and the symptoms within these clusters are variable.

Health-related quality of life, patient-centred communication and self-efficacy in ovarian cancer: a mediation analysis

OBJECTIVE

To assess the role of self-efficacy as a mediator of the association between patient-centred communication (PCC) and health-related quality of life (HRQoL) in a sample of participants with ovarian cancer.

METHODS

English-speaking adults with ovarian cancer completed a cross-sectional survey. We assessed self-efficacy with the Self-Efficacy for Managing Chronic Disease scale, PCC with the Patient-Centred Communication in Cancer Care-36, and HRQoL with the Functional Assessment of Cancer Therapy-General. We used the PROCESS macro to calculate regression coefficients for the total effect of PCC on HRQoL and direct effect of PCC on HRQoL. We calculated a 95% CI for the indirect effect of PCC on HRQoL using 10 000 bootstrapped samples.

RESULTS

The total effect of PCC on HRQoL (9.47, 95% CI 6.21 to 12.74) was greater than the direct effect of PCC on HRQoL (3.47, 95% CI 0.73 to 6.21). The indirect effect of PCC on HRQoL was 6.00 (95% CI 3.56 to 8.95). Self-efficacy explained approximately 63.4% of the association between PCC and HRQoL.

CONCLUSIONS

Self-efficacy partially mediated the association between PCC and HRQoL. Self-efficacy is a potential target for communication interventions that aim to improve HRQoL. Research to validate this finding in the setting of a randomised trial is warranted.

COVID-19 pandemic stress and cancer symptom burden

OBJECTIVES

In a sample of patients with cancer (n=1145) who were assessed during the height of the COVID-19 pandemic, latent profile analysis was used to identify subgroups of patients with distinct stress profiles and to evaluate for differences in demographic and clinical characteristics and symptom severity scores among these subgroups.

METHODS

Patients completed measures of cancer-specific and COVID-19 stress, global stress, social isolation, loneliness, depression, state and trait anxiety, morning and evening fatigue, morning and evening energy, sleep disturbance, cognitive function, and pain. Latent profile analysis was used to identify subgroups of patients with distinct stress profiles. Differences among the subgroups in study measures were evaluated using parametric and non-parametric tests.

RESULTS

Using clinically meaningful cut-off scores for the stress measures, four distinct stress profiles were identified (ie, none class (51.3%); low stress and moderate loneliness class (24.4%), high stress and moderate loneliness class (14.0%), and very high stress and moderately high loneliness class (high, 10.3%)). Risk factors associated with membership in the high class included: younger age, lower annual household income, lower functional status and higher comorbidity burden. The two worst stress profiles reported clinically meaningful levels of all of the common symptoms associated with cancer and its treatments.

CONCLUSION

Findings from this study, obtained prior to the availability of COVID-19 vaccines and anti-viral medications, provide important 'benchmark data' to evaluate for changes in stress and symptom burden in patients with cancer in the postvaccine era and in patients with long COVID-19.

Healthy Behaviors Among Non-Hispanic Black and Hispanic People Affected by Cancer During the Posttreatment Survivorship: A Qualitative Study

BACKGROUND

There are disparities in health behaviors across racial and ethnic groups. However, limited studies focus on cancer survivors' experiences developing and maintaining healthy behaviors, particularly in non-Hispanic Black (NHB) and Hispanic people.

OBJECTIVE

This study aimed to understand the experiences of NHB and Hispanic people affected by cancer in developing and maintaining positive health behaviors beyond a cancer diagnosis.

METHODS

The data were collected in a mixed-method study through semistructured interviews with 29 NHB and Hispanic cancer survivors between June and October 2022. Conventional content analysis was used.

RESULTS

The lived experiences of cancer survivors were narrated in 3 themes: impact of a cancer diagnosis on oneself, facilitators and barriers to health and health behaviors, and utilization of available sources for health. Facilitators and barriers to health and health behaviors were further explored as biological (eg, symptoms, comorbidities), behavioral (eg, help-seeking behavior, sleep pattern), physical/built (eg, available sources, neighborhood), and sociocultural environment (eg, income, transportation, knowledge, culture, upbringing, household and community composition, social and family network), and healthcare system-related factors (eg, insurance coverage, personal preferences, perceived discrimination, and stigma).

CONCLUSION

Non-Hispanic Black and Hispanic people, specifically those living in disadvantaged neighborhoods with limited sources or where they feel discriminated and stereotyped, those with limited income and transportation, and those with physical, social, or mental health problems, seemed to have challenges prioritizing health behaviors and maintaining healthy living.

IMPLICATIONS FOR PRACTICE

Biological, behavioral, and psychosocial determinants of health behaviors should be addressed through multilevel collaborations among different levels of partners.

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.

Adverse Childhood Experiences and Higher Levels of Stress Are Associated With the Co-occurrence of Cancer-Related Cognitive Impairment and Anxiety

OBJECTIVES

We sought to identify subgroups of patients with distinct joint cancer-related cognitive impairment (CRCI) AND anxiety profiles and evaluate for differences in demographic and clinical characteristics, as well as levels of global stress, cancer-specific stress, cumulative life stress, and resilience.

DATA SOURCES

Patients (n = 1332) completed the Attentional Function Index and the Spielberger State Anxiety Inventory six times over two cycles of chemotherapy. Global, cancer-specific, and cumulative life stress and resilience were evaluated using Perceived Stress Scale, Impact of Event Scale-Revised, Life Stressor Checklist-Revised, and Connor-Davidson Resilience Scale, respectively. Latent profile analysis was used to identify subgroups of patients with distinct joint CRCI AND anxiety profiles. Differences were evaluated using parametric and nonparametric tests.

RESULTS

Three classes were identified (ie, No CRCI and Low Anxiety [57.3%], Moderate CRCI and Moderate Anxiety [34.5%], and High CRCI and High Anxiety [8.2%]). All of the stress measures showed a dose-response effect (ie, as the CRCI AND anxiety profile worsened, scores for all three types of stress increased). The two highest symptom classes reported higher occurrence rates for six specific stressors (eg, emotional abuse, physical abuse, sexual harassment).

CONCLUSIONS

Findings suggest that higher levels of co-occurring CRCI AND anxiety are associated with some common risk factors, as well as higher levels of stress and lower levels of resilience. Increased knowledge of modifiable risk factors and sources of stress associated with the co-occurrence of these two symptoms will assist clinicians to identify high-risk patients and implement individualized interventions.

Decrements in Both Physical and Cognitive Function Are Associated With a Higher Symptom Burden in Oncology Patients

OBJECTIVES

Physical and cognitive function are two of the most important patient-reported outcomes. In oncology patients receiving chemotherapy (N = 1331), purposes were to identify subgroups of patients with distinct joint physical and cognitive function profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life outcomes.

DATA SOURCES

Measures of physical and cognitive functions were obtained six times over two cycles of chemotherapy. All of the other measures were done prior to the second or third cycle of chemotherapy. Latent profile analysis was done to identify the distinct joint physical and cognitive function profiles. Differences among the profiles were evaluated using parametric and nonparametric tests.

CONCLUSION

Five distinct profiles were identified (ie, Very Low Physical and Low Cognitive Function [18.4%; Both Low], Low Physical and High Cognitive Function [19.8%], Moderate Physical and Low Cognitive Function [26.7%], Changing Physical and Cognitive Function [5.4%], and Normal Physical and Cognitive Function [29.7%]). Patients in the Both Low class had the highest symptom burden and the poorest quality of life. Over 70% of the sample had moderate to severe decrements in one or both of these extremely important patient outcomes.

IMPLICATIONS FOR NURSING PRACTICE

Clinicians need to assess for both physical and cognitive function using simple subjective and objective measures.

Oncology Outpatients With Worse Anxiety and Sleep Disturbance Profiles Are at Increased Risk for a Higher Symptom Burden and Poorer Quality of Life

BACKGROUND

Anxiety and sleep disturbance are frequent symptoms during chemotherapy.

OBJECTIVES

Purposes were to identify subgroups of oncology outpatients with distinct joint anxiety and sleep disturbance profiles, as well as evaluate for differences in demographic and clinical characteristics, sleep disturbance characteristics, severity of common symptoms, and quality-of-life outcomes among these subgroups.

METHODS

Oncology outpatients (n = 1331) completed self-report measures of anxiety and sleep disturbance 6 times over 2 chemotherapy cycles. Latent profile analysis was done to identify subgroups of patients with distinct joint anxiety and sleep disturbance profiles.

RESULTS

Three profiles were identified (ie, no anxiety and low sleep disturbance (59.7%), moderate anxiety and high sleep disturbance (32.5%), high anxiety and very high sleep disturbance (7.8%)). Compared with the no anxiety and low sleep disturbance class, the other 2 classes were younger; less likely to be married; had a lower annual household income; and had childcare responsibilities. Patients in the 2 worse profiles had problems with both sleep initiation and maintenance. These patients reported higher levels of depressive symptoms, trait and state anxiety, and evening fatigue, as well as lower levels of morning and evening energy, cognitive function, and poorer quality of life.

CONCLUSIONS

More than 40% of patients had moderate or high levels of anxiety and high or very high levels of sleep disturbance. Modifiable risk factors associated with these profiles may be used to develop targeted interventions for 1 or both symptoms.

IMPLICATIONS FOR PRACTICE

Clinicians need to assess for the co-occurrence of anxiety and sleep disturbance.

Family Caregiver Experiences in the Inpatient and Outpatient Reduced-Intensity Conditioning Allogeneic Hematopoietic Cell Transplantation Settings: A Qualitative Study

Caregivers (ie, family and friends) are essential in providing care and support for patients undergoing hematopoietic cell transplantation (HCT) and throughout their recovery. Traditionally delivered in the hospital, HCT is being increasingly provided in the outpatient setting, potentially heightening the burden on caregivers. Extensive work has examined the inpatient HCT caregiving experience, yet little is known about how caregiver experiences may differ based on whether the HCT was delivered on an inpatient or outpatient basis, particularly during the acute recovery period post-HCT. This study explored the similarities and differences in caregiver experiences in the inpatient and outpatient settings during the early recovery from reduced-intensity conditioning (RIC) allogeneic HCT. We conducted semistructured interviews (n = 15) with caregivers of adults undergoing RIC allogeneic HCT as either an inpatient (n = 7) or an outpatient (n = 8). We recruited caregivers using purposeful criterion sampling, based on the HCT setting, until thematic saturation occurred. Interview recordings were transcribed and coded through thematic analysis using Dedoose v.9.0. The study analysis was guided by the transactional model of stress and coping and the model of adaptation of family caregivers during the acute phase of BMT. Three themes emerged to describe similar experiences for HCT caregivers regardless of setting: (1) caregivers reported feeling like they were a necessary yet invisible part of the care team; (2) caregivers described learning to adapt to changing situations and varying patient needs; and (3) caregivers recounted how the uncertainty following HCT felt like existing between life and death while also maintaining a sense of gratitude and hope for the future. Caregivers also reported distinct experiences based on the transplantation setting and 4 themes emerged: (1) disrupted routines: inpatient caregivers reported disrupted routines when caring for the HCT recipient while simultaneously trying to manage non-caregiving responsibilities at home and work, and outpatient caregivers reported having to establish new routines that included frequent clinic visits with the patient while altering or pausing home and work responsibilities; (2) timing of caregiver involvement: inpatient caregivers felt more involved in care after the patient was discharged from the HCT hospitalization, whereas outpatient caregivers were already providing the majority of care earlier in the post-transplantation period; (3) fear of missing vital information: inpatient caregivers worried about missing vital information about the patient's care and progress if not physically present in the hospital, whereas outpatient caregivers feared overlooking vital information that may warrant contacting the care team as they monitored the patient at home; and (4) perceived adequacy of resources to meet psychosocial and practical needs: inpatient caregivers reported having adequate access to resources (ie, hospital-based services), whereas outpatient caregivers felt they had more limited access and needed to be resourceful in seeking out assistance. Inpatient and outpatient HCT caregivers described both similar and distinct experiences during the acute recovery period post-HCT. Specific interventions should address caregiver psychosocial needs (ie, distress, illness uncertainty, communication, and coping) and practical needs (ie, community resource referral, preparedness for home-based caregiving, and transplantation education) of HCT caregivers based on setting.

Risk Factors for a Higher Symptom Burden in Patients With Cancer During the COVID-19 Pandemic

OBJECTIVES

To evaluate for subgroups of patients with distinct symptom profiles and differences in demographic and clinical characteristics and stress and resilience among these subgroups.

SAMPLE & SETTING

1,145 patients with cancer aged 18 years or older completed a survey online. Data were collected between May 2020 and February 2021.

METHODS & VARIABLES

Patients completed measures for depression, state anxiety, cognitive function, morning fatigue, evening fatigue, morning energy, evening energy, sleep disturbance, pain, stress, and resilience. Latent class profile analysis was used to identify subgroups of patients with distinct symptom profiles. Differences among the subgroups on study measures were evaluated using parametric and nonparametric tests.

RESULTS

Four distinct profiles were identified (none, low, high, and very high). Patients in the high and very high classes reported clinically meaningful levels of all nine symptoms. Differences among the four profiles for stress and resilience exhibited a dose-response effect.

IMPLICATIONS FOR NURSING

Findings can serve as benchmark data of the symptom burden of patients with cancer following the COVID-19 pandemic.

Associations Between Distinct State Anxiety Profiles, Exposure to Stressful Life Events, Resilience, and Coping in Patients with Gynecologic Cancers Receiving Chemotherapy

OBJECTIVES

In a sample of patients with gynecologic cancers who are receiving chemotherapy, subgroups of patients with distinct state anxiety profiles were identified, and differences among the subgroups in demographic and clinical characteristics, stress, exposure to stressful life events, resilience, and coping behaviors were evaluated.

DATA SOURCES

Patients (n = 230) completed questionnaires six times over two chemotherapy cycles. State anxiety was measured using the Spielberger State Anxiety Inventory. Subgroups of patients with distinct state anxiety profiles were identified using latent profile analysis. Differences among the classes were assessed using parametric and nonparametric tests.

CONCLUSION

Three distinct state anxiety profiles were identified: low (55.2%), moderate (38.3%), and very high (6.5%). Compared with the low class, persons in the other two classes had lower functional status, more comorbidities, higher perceived stress, and lower resilience and were more likely to report a history of depression and to use disengagement coping strategies. Compared with the low class, the very high class was more likely to report childcare responsibilities; have a history of lung disease, stomach disease, or low back pain; have experienced physical neglect, serious money problems, a serious disaster, or foster care; or were a caregiver for someone with a severe disability.

IMPLICATIONS FOR NURSING PRACTICE

Nearly 45% of patients reported clinically meaningful levels of state anxiety that persisted over two cycles of chemotherapy. Experiences with a variety of stressors may be risk factors for higher levels of anxiety during chemotherapy. Clinicians need to perform comprehensive social histories and assess for anxiety in patients receiving chemotherapy.

Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster

PURPOSE

Pain, fatigue, sleep disturbance, and depression are four of the most common symptoms in patients with gynecologic cancer. The purposes were to identify subgroups of patients with distinct co-occurring pain, fatigue, sleep disturbance, and depression profiles (i.e., pre-specified symptom cluster) in a sample of patients with gynecologic cancer receiving chemotherapy and assess for differences in demographic and clinical characteristics, as well as the severity of other common symptoms and QOL outcomes among these subgroups.

METHODS

Patients completed symptom questionnaires prior to their second or third cycle of chemotherapy. Latent profile analysis was used to identify subgroups of patients using the pre-specified symptom cluster. Parametric and nonparametric tests were used to evaluate for differences between the subgroups.

RESULTS

In the sample of 233 patients, two distinct latent classes were identified (i.e., low (64.8%) and high (35.2%)) indicating lower and higher levels of symptom burden. Patients in high class were younger, had child care responsibilities, were unemployed, and had a lower annual income. In addition, these women had a higher body mass index, a higher comorbidity burden, and a lower functional status. Patients in the high class reported higher levels of anxiety, as well as lower levels of energy and cognitive function and poorer quality of life scores.

CONCLUSIONS

This study identified a number of modifiable and non-modifiable risk factors associated with membership in the high class. Clinicians can use this information to refer patients to dieticians and physical therapists for tailored interventions.

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.

Higher Levels of Stress and Neuropsychological Symptoms Are Associated With a High Nausea Profile in Patients With Cancer Receiving Chemotherapy

OBJECTIVES

To evaluate differences in the severity of global, cancer-specific, and cumulative life stress, resilience, and common neuropsychological symptoms among four subgroups of patients with distinct chemotherapy-induced nausea (CIN) profiles.

SAMPLE & SETTING

Adult patients with cancer (N = 1,343) receiving chemotherapy.

METHODS & VARIABLES

Patients completed stress, resilience, and neuropsychological symptom severity measures. The Memorial Symptom Assessment Scale was used to assess CIN occurrence six times over two cycles of chemotherapy. Parametric and nonparametric statistics were used to evaluate differences among subgroups of patients with distinct CIN profiles.

RESULTS

The high class had significantly higher levels of global, cancer-specific, and cumulative life stress; significantly higher levels of depression, anxiety, sleep disturbance, morning and evening fatigue, and pain; and lower levels of morning and evening energy and cognitive dysfunction.

IMPLICATIONS FOR NURSING

Clinicians need to evaluate CIN occurrence across each cycle of chemotherapy and assess patients for various types of stress and common neuropsychological symptoms.

Sleep disturbance and decrements in morning energy contribute to a higher symptom burden in oncology patients

OBJECTIVE/BACKGROUND

An emerging area of research is the relationship between sleep disturbance and decrements in energy. Given the paucity of research on the co-occurrence of these two symptoms, study purposes were to identify subgroups of oncology patients with distinct joint sleep disturbance AND morning energy profiles and evaluate for differences among the subgroups in demographic, clinical, and sleep disturbance characteristics, as well as the severity of other common symptoms and QOL outcomes.

PATIENTS/METHODS

Patients (n = 1336) completed measures of sleep disturbance and energy 6 times over two cycles of chemotherapy. All of the other measures were completed at enrollment. Latent profile analysis was used to identify the distinct joint sleep disturbance and morning energy profiles.

RESULTS

Three distinct profiles were identified (i.e., Low Sleep Disturbance and High Morning Energy (Normal, 20.6%), Moderate Sleep Disturbance and Low Morning Energy (Moderately Severe, 52.1%), Very High Sleep Disturbance and Very Low Morning Energy (Very Severe, 27.3%). Compared to Normal class, other two classes were more likely to be female, less likely to be employed, and had higher comorbidity burden and poorer functional status. Symptom scores and QOL outcomes exhibited a dose response effect (i.e., as the profile worsened, symptom scores increased and QOL scores decreased).

CONCLUSIONS

Given the associations between sleep disturbance and decrements in energy and a higher symptom burden, poorer QOL outcomes, and increased mortality, assessment of these two symptoms needs to be a high priority for clinicians and appropriate interventions initiated.

Big Data in Oncology Nursing Research: State of the Science

OBJECTIVE

To review the state of oncology nursing science as it pertains to big data. The authors aim to define and characterize big data, describe key considerations for accessing and analyzing big data, provide examples of analyses of big data in oncology nursing science, and highlight ethical considerations related to the collection and analysis of big data.

DATA SOURCES

Peer-reviewed articles published by investigators specializing in oncology, nursing, and related disciplines.

CONCLUSION

Big data is defined as data that are high in volume, velocity, and variety. To date, oncology nurse scientists have used big data to predict patient outcomes from clinician notes, identify distinct symptom phenotypes, and identify predictors of chemotherapy toxicity, among other applications. Although the emergence of big data and advances in computational methods provide new and exciting opportunities to advance oncology nursing science, several challenges are associated with accessing and using big data. Data security, research participant privacy, and the underrepresentation of minoritized individuals in big data are important concerns.

IMPLICATIONS FOR NURSING PRACTICE

With their unique focus on the interplay between the whole person, the environment, and health, nurses bring an indispensable perspective to the interpretation and application of big data research findings. Given the increasing ubiquity of passive data collection, all nurses should be taught the definition, characteristics, applications, and limitations of big data. Nurses who are trained in big data and advanced computational methods will be poised to contribute to guidelines and policies that preserve the rights of human research participants.

Epigenetic Regulation of Inflammatory Mechanisms and a Psychological Symptom Cluster in Patients Receiving Chemotherapy

BACKGROUND

A psychological symptom cluster is the most common cluster identified in oncology patients. Although inflammatory mechanisms are hypothesized to underlie this cluster, epigenetic contributions are unknown.

OBJECTIVES

This study's purpose was to evaluate associations between the occurrence of a psychological symptom cluster and levels of DNA methylation for inflammatory genes in a heterogeneous sample of patients with cancer receiving chemotherapy.

METHODS

Prior to their second or third cycle of chemotherapy, 1,071 patients reported the occurrence of 38 symptoms using the Memorial Symptom Assessment Scale. A psychological cluster was identified using exploratory factor analysis. Differential methylation analyses were performed in two independent samples using Illumina Infinium 450K and EPIC microarrays. Expression-associated CpG (eCpG) loci in the promoter region of 114 inflammatory genes on the 450K and 112 genes on the EPIC microarray were evaluated for associations with the psychological cluster. Robust rank aggregation was used to identify differentially methylated genes across both samples. Significance was assessed using a false discovery rate of 0.05 under the Benjamini-Hochberg procedure.

RESULTS

Cluster of differentiation 40 ( CD40 ) was differentially methylated across both samples. All six promoter eCpGs for CD40 that were identified across both samples were hypomethylated in the psychological cluster group.

CONCLUSIONS

This study is the first to suggest associations between a psychological symptom cluster and differential DNA methylation of a gene involved in tissue inflammation and cell-mediated immunity. Our findings suggest that increased CD40 expression through hypomethylation of promoter eCpG loci is involved in the occurrence of a psychological symptom cluster in patients receiving chemotherapy. These findings suggest a direction for mechanistic studies.

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.

Translation of Evidence-Based Interventions Into Oncology Care Settings: An Integrative Review

BACKGROUND

Adoption of evidence remains slow, leading to variations in practices and quality of care. Examining evidence-based interventions implemented within oncology settings can guide knowledge translation efforts.

OBJECTIVE

This integrative review aimed to (1) identify topics implemented for oncology-related evidence-based practice (EBP) change; (2) describe frameworks, guidelines, and implementation strategies used to guide change; and (3) evaluate project quality.

METHODS

PubMed and CINAHL were searched to identify published practice change projects. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines were followed. Fifty articles met the inclusion criteria. Data were extracted; content analysis was conducted. The Quality Improvement Minimum Quality Criteria Set guided quality assessment.

RESULTS

Topics included infection control/prevention (n = 18), pain/palliative care (n = 13), psychosocial assessment (n = 11), and medication adherence (n = 8). Among the projects, Plan, Do, Study, Act (n = 8) and Lean Six Sigma (n = 6) frameworks were used most. Thirty-six projects identified guidelines that directed interventions. Multiple implementation strategies were reported in all articles with planning, education, and restructuring the most common. Reach, sustainability, and ability to be replicated were identified as quality gaps across projects.

CONCLUSION

The EBP topics that emerged are consistent with the oncology nursing priorities, including facilitating integration of EBP into practice. The studies identified used national guidelines and implementation strategies to move evidence into practice. Heterogeneity in measurement made synthesis of findings difficult across studies, although individual studies showed improvement in patient outcomes.

IMPLICATIONS FOR PRACTICE

Development of an interprofessional oncology consortium could facilitate a standardized approach to implementation of high-priority topics that target improved patient outcomes, harmonize measures, and accelerate translation of evidence into practice.

A scoping review on the nurse scientist role within healthcare systems

BACKGROUND

The role of the nurse scientist in the clinical setting is not well defined, which contributes to variability in role implementation, scope, administration, funding, and affiliation across healthcare sites.

AIMS

The aim of this scoping review was to identify attributes of the clinical nurse scientist role and its operationalization in the clinical setting through available evidence.

METHODS

A comprehensive, computerized search of the literature in PubMed, Medline, and CINAHL was conducted in early May 2020 by a medical research librarian and repeated in July 2021 and April 2022. The 5-step framework described by Arskey and O'Malley guided the review methodology. Two reviewers conducted an independent screen of all articles, followed by a full-text review of eligible articles by two independent reviewers each using a standardized data extraction template. Themes were then organized and synthesized using descriptive content analysis from the included articles.

RESULTS

A final sample of 55 full-text articles were included in the review. Overall, the findings suggest that the nurse scientist role in a clinical setting can be challenging to implement in complex healthcare environments. Successful models include the nurse scientist in a leadership role, alignment of research with institutional priorities, and strong support from senior leadership.

LINKING EVIDENCE TO ACTION

Findings suggest that standardized guidelines are lacking to govern the implementation of the nurse scientist role in the clinical setting. To succeed, the nurse scientist role must be valued and supported by organizational leaders. Further, access to resources to build infrastructure must be provided. The magnitude and scope of individual organizational support can be tailored based on the resources of the institution; however, the foundation of having institutional leadership support is critical to role success of the clinical nurse researcher.

Sleep disturbance is associated with perturbations in immune-inflammatory pathways in oncology outpatients undergoing chemotherapy

OBJECTIVE/BACKGROUND

Sleep disturbance is a common problem in patients receiving chemotherapy. Purpose was to evaluate for perturbations in immune-inflammatory pathways between oncology patients with low versus very high levels of sleep disturbance.

PATIENTS/METHODS

Sleep disturbance was evaluated using the General Sleep Disturbance Scale six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct sleep disturbance profiles. Pathway impact analyses were performed in two independent samples using gene expression data obtained from RNA sequencing (n = 198) and microarray (n = 162) technologies. Fisher's combined probability test was used to identify significantly perturbed pathways between Low versus Very High sleep disturbance classes.

RESULTS

In the RNA sequencing and microarray samples, 59.1% and 51.9% of patients were in the Very High sleep disturbance class, respectively. Thirteen perturbed pathways were related to immune-inflammatory mechanisms (i.e., endocytosis, phagosome, antigen processing and presentation, natural killer cell mediated cytotoxicity, cytokine-cytokine receptor interaction, apoptosis, neutrophil extracellular trap formation, nucleotide-binding and oligomerization domain-like receptor signaling, Th17 cell differentiation, intestinal immune network for immunoglobulin A production, T-cell receptor signaling, complement and coagulation cascades, and tumor necrosis factor signaling).

CONCLUSIONS

First study to identify perturbations in immune-inflammatory pathways associated with very high levels of sleep disturbance in oncology outpatients. Findings suggest that complex immune-inflammatory interactions underlie sleep disturbance.

Gastrointestinal Symptom Cluster is Associated With Epigenetic Regulation of Lymphotoxin Beta in Oncology Patients Receiving Chemotherapy

OBJECTIVES

While the gastrointestinal symptom cluster (GISC) is common in patients receiving chemotherapy, limited information is available on its underlying mechanism(s). Emerging evidence suggests a role for inflammatory processes through the actions of the nuclear factor kappa B (NF-κB) signaling pathway. This study evaluated for associations between a GISC and levels of DNA methylation for genes within this pathway.

METHODS

Prior to their second or third cycle of chemotherapy, 1071 outpatients reported symptom occurrence using the Memorial Symptom Assessment Scale. A GISC was identified using exploratory factor analysis. Differential methylation analyses were performed in two independent samples using EPIC (n = 925) and 450K (n = 146) microarrays. Trans expression-associated CpG (eCpG) loci for 56 NF-κB signaling pathway genes were evaluated. Loci significance were assessed using an exploratory false discovery rate (FDR) of 25% for the EPIC sample. For the validation assessment using the 450K sample, significance was assessed at an unadjusted p-value of 0.05.

RESULTS

For the EPIC sample, the GISC was associated with increased expression of lymphotoxin beta (LTB) at one differentially methylated trans eCpG locus (cg03171795; FDR = 0.168). This association was not validated in the 450K sample.

CONCLUSIONS

This study is the first to identify an association between a GISC and epigenetic regulation of a gene that is involved in the initiation of gastrointestinal immune responses. Findings suggest that increased LTB expression by hypermethylation of a trans eCpG locus is involved in the occurrence of this cluster in patients receiving chemotherapy. LTB may be a potential therapeutic target for this common cluster.

Perturbations in common and distinct inflammatory pathways associated with morning and evening fatigue in outpatients receiving chemotherapy

BACKGROUND

Moderate to severe fatigue occurs in up to 94% of patients with cancer. Recent evidence suggests that morning and evening fatigue are distinct dimensions of physical fatigue. The purposes of this study were to evaluate the transcriptome for common and distinct perturbed inflammatory pathways in patients receiving chemotherapy who reported low versus high levels of morning or low versus high levels of evening cancer-related fatigue.

METHODS

Patients completed questionnaires during the week prior to their chemotherapy treatment. Severity of morning and evening fatigue was evaluated using the Lee Fatigue Scale. Gene expression and pathway impact analyses (PIA) were performed in two independent samples using RNA-sequencing (n = 357) and microarray (n = 360). Patterns of interactions between and among these perturbed pathways were evaluated using a knowledge network (KN).

RESULTS

Across the PIA, nine perturbed pathways (FDR < 0.025) were common to both morning and evening fatigue, six were distinct for morning fatigue, and four were distinct for evening fatigue. KN (19 nodes, 39 edges) identified the phosphatidylinositol 3-kinase (PI3K)-Akt pathway node (perturbed in evening fatigue) with the highest betweenness (0.255) and closeness (0.255) centrality indices. The next highest betweenness centrality indices were seen in pathways perturbed in evening fatigue (i.e., nuclear factor kappa B: 0.200, natural killer cell-mediated cytotoxicity: 0.178, mitogen-activated protein kinase: 0.175).

CONCLUSIONS

This study describes perturbations in common and distinct inflammatory pathways associated with morning and/or evening fatigue. PI3K-Akt was identified as a bottleneck pathway. The analysis identified potential targets for therapeutic interventions for this common and devastating clinical problem.

How does patient-centered communication in ovarian cancer care enhance patient well-being? A mixed methods study

OBJECTIVE

Greater perceived patient-centered communication (PCC) is associated with better health-related quality of life (HRQoL) in patients with ovarian cancer. Quantitative measures of PCC and HRQoL do little to explain this association. We interviewed patients with high and low ratings of PCC to understand how it is associated with HRQoL.

METHODS

Explanatory sequential mixed methods study. Participants were English-speaking U.S. adults with ovarian cancer. We assessed PCC with the Patient-Centered Communication - Cancer (PCC-Ca)-36 (possible score range 1-5; higher scores represent greater patient-centeredness), and purposively sampled 14 participants with total scores in the top and bottom quartiles. Participants completed individual, semi-structured interviews about their communication experiences. Guided by the National Cancer Institute Framework for PCC in Cancer Care, we analyzed interview transcripts using directed content analysis. We integrated survey and interview findings in a joint display.

RESULTS

Among 176 survey respondents, PCC-Ca-36 total scores ranged from 1.7 to 5.0. Participants with scores in the top quartile (4.8-5.0) perceived clinicians as proactive and attentive to psychosocial concerns. Those with scores in the bottom quartile (1.7-3.5) described not feeling known as an individual and receiving limited support for self-management.

CONCLUSIONS

The association between PCC and QoL may be partially explained by differences in perceived support for psychosocial concerns and self-management. PCC may facilitate receipt of proactive, personalized care.

Ambulatory Oncology Nurses Weigh in About 12-Hour Shifts

BACKGROUND

Studies conducted in hospital settings have associated negative clinical outcomes with 12-hour shifts. Despite this, 12-hour shifts are common in nursing and popular among nurses. Little is known about outcomes associated with 12-hour shifts in ambulatory care settings.

OBJECTIVE

A mixed-methods, quality improvement project was conducted in a large, ambulatory cancer center to evaluate oncology nursing staff perspectives on 12-hour shift work.

METHODS

One hundred ambulatory oncology nurses completed surveys and 11 participated in focus group interviews.

FINDINGS

Nurses expressed predominately positive perspectives about 12-hour shift work in ambulatory oncology care.

CONCLUSIONS

Ambulatory oncology nurses perceived benefits to quality, safety, and satisfaction for both nurses and patients related to 12-hour shifts. Further evaluation of patient, nurse, and organizational outcomes unique to ambulatory settings is essential for nurse executives in formulating data-driven staffing plans. The incorporation of 12-hour shifts should be considered.

Use of Dual-Energy X-Ray Absorptiometry to Assess Soft Tissue Composition in Breast Cancer Survivors With and Without Lymphedema

Background: In patients with lymphedema (LE), in addition to hand dominance, between-group comparisons of interlimb soft tissue differences need to account for differences in whole-body adiposity, measured directly by dual energy X-ray absorptiometry (DXA) or indirectly by body mass index. No study has evaluated the effects of hand dominance and whole-body adiposity on limb composition in patients with LE. This study's purpose was to compare soft tissue composition of affected and unaffected limbs of women with breast cancer, who did and did not have LE, controlling for dominance and percent body fat. Methods and Results: Whole-body DXA scans were acquired and included measures of percent body fat, upper limb total mass, upper limb fat mass, and upper limb fat-free mass. Participants were classified into one of three groups: women without LE; women with only subjective LE; and women with objective signs of LE at the time of assessment. Differences among the LE groups were evaluated using analysis of variance (ANOVA) and Chi-square analyses. Analysis of covariance (ANCOVA) was used to control for percent body fat and for the affected limb dominance. Compared to women without LE, women with objective signs of LE have greater total limb mass, fat mass, and fat-free mass in their affected limbs, independent of affected side dominance and percent body fat. In addition, the interlimb differences in total mass, fat mass, and fat-free mass were greater for the women with objective signs of LE, compared to the other two groups. Conclusions: DXA is useful in identifying soft tissue changes in patients with LE. Given that limb circumferences measure only changes in limb volume and that bioimpedance provides estimates of extracellular fluid, DXA has the advantage of being able to estimate the volumes of specific tissues in the limb.

Symptom clusters in outpatients with cancer using different dimensions of the symptom experience

PURPOSE

Relatively few studies have evaluated for symptom clusters across multiple dimensions. It is unknown whether the symptom dimension used to create symptom clusters influences the number and types of clusters that are identified. Study purposes were to describe ratings of occurrence, severity, and distress for 38 symptoms in a heterogeneous sample of oncology patients (n = 1329) undergoing chemotherapy; identify and compare the number and types of symptom clusters based on three dimensions (i.e., occurrence, severity, and distress); and identify common and distinct clusters.

METHODS

A modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress ratings of 38 symptoms in the week prior to patients' next cycle of chemotherapy. Symptom clusters for each dimension were identified using exploratory factor analysis.

RESULTS

Patients reported an average of 13.9 (±7.2) concurrent symptoms. Lack of energy was both the most common and severe symptom while "I don't look like myself" was the most distressing. Psychological, gastrointestinal, weight gain, respiratory, and hormonal clusters were identified across all three dimensions. Findings suggest that psychological, gastrointestinal, and weight gain clusters are common while respiratory and hormonal clusters are distinct.

CONCLUSIONS

Psychological, gastrointestinal, weight gain, hormonal, and respiratory clusters are stable across occurrence, severity, and distress in oncology patients receiving chemotherapy. Given the stability of these clusters and the consistency of the symptoms across dimensions, the use of a single dimension to identify these clusters may be sufficient. However, comprehensive and disease-specific inventories need to be used to identify distinct clusters.

Identification of Distinct Symptom Profiles in Cancer Patients Using a Pre-Specified Symptom Cluster

CONTEXT

Pain, fatigue, sleep disturbance, and depression often co-occur in oncology patients and negatively impact quality of life (QOL).

OBJECTIVES

Study purposes were to identify subgroups of patients with distinct symptom profiles based on their experiences with a pre-specified symptom cluster (i.e., pain, fatigue, depression, sleep disturbance) and to identify demographic, clinical, and symptom characteristics and QOL outcomes associated with each distinct profile.

METHODS

Patients with breast, lung, gastrointestinal, and gynecologic cancers (n = 1340) were recruited from outpatient clinics during their first or second cycle of chemotherapy. They completed valid and reliable measures of pain, fatigue, sleep disturbance. depression, and QOL prior to their next dose of chemotherapy. Latent class profile analysis was used to identify the patient subgroups. Differences among the profiles were evaluated using parametric and non-parametric tests.

RESULTS

Three distinct profiles were identified (i.e., Low (44.0%), Moderate (45.1%), High (10.8%). Compared to Low class, Moderate and High classes were younger and more likely to be female. Compared to the other two classes, High class was less likely to be married/partnered and employed, more likely to have a lower income and childcare responsibilities, had lower functional status, a higher body mass index, and exercised less. For both QOL scales, differences in subscale and total scores followed the same pattern (Low>Moderate>High).

CONCLUSIONS

Over 55% of patients undergoing chemotherapy had a moderate to high symptom burden associated with these four common co-occurring symptoms. Multimodal interventions are needed to decrease symptom burden and improve QOL outcomes in these patients.

A high stress profile is associated with severe pain in oncology patients receiving chemotherapy

PURPOSE

Oncology patients receiving chemotherapy can experience both cancer and non-cancer pain. In addition, oncology patients face numerous stressors and their responses are highly variable. Stress and pain are intricately linked. The purpose of this study was to evaluate for differences in pain characteristics and mood disturbance among oncology patients with distinct stress profiles.

METHODS

From a sample of 957 patients with and without pain, latent profile analysis identified three groups of patients with distinct stress profiles (i.e., Stressed, Normative, Resilient). In the subset of 671 patients with pain, receiving chemotherapy for breast, lung, gastrointestinal, or gynecologic cancer, we evaluated for differences among the stress profiles in terms of pain characteristics (e.g., intensity, qualities, interference) and mood disturbance (anxiety, depressive symptoms).

RESULTS

Compared to Normative patients (n = 333; 49.6%), Stressed patients (n = 305; 45.5%) reported higher levels of pain intensity, pain interference, anxiety, and depressive symptoms and more commonly described pain as throbbing, shooting, burning, exhausting, tiring, penetrating, nagging, miserable, and unbearable. Compared to Resilient patients (n = 33; 4.9%), Stressed patients reported significantly higher mood-related pain interference scores and more severe anxiety and depressive symptoms.

CONCLUSIONS

A high stress profile is common (45.5%) and is associated with more severe pain and associated symptoms. Efforts to identify and target this group for interventions may improve patient outcomes.

Assessment of Arm Volume Using a Tape Measure Versus a 3D Optical Scanner in Survivors with Breast Cancer-Related Lymphedema

Background: Lymphedema (LE) is a significant clinical problem for breast cancer survivors. While the water displacement test and circumferential assessment using a tape measure (TM) are common methods to assess differences in arm volumes, faster and more reliable methods are needed. Study purposes, in breast cancer survivors (n = 294), were to compare the average total arm volumes and interlimb volume ratios for women with and without a history of LE, using a TM and three-dimensional (3D), whole-body surface scanner (3D scan); compare the level of agreement between arm volumes and interlimb volume ratios obtained using the two devices; and evaluate the percent agreement between the two measures in classifying cases of LE using three accepted thresholds. Methods and Results: Measurements were done using a spring-loaded TM and Fit3D ProScanner. Paired t-tests and Bland-Altman analyses were used to achieve the study aims. For circumference and volume comparisons, compared with the 3D scan, values obtained using the TM were consistently smaller. In terms of level of agreement, the Bland-Altman analyses demonstrated large biases and wide limits of agreement for the calculated arm volumes and volume ratios. In terms of the classification of caseness, using the 200-mL interlimb volume difference criterion resulted in 81.6% overall agreement; using the >10% volume difference between the affected and unaffected arms resulted in 78.5% overall agreement; and using the volume ratio ≥1.04 criterion resulted in 62.5% overall agreement. For all three accepted threshold criteria, the percentage of cases was significantly different between the TM and 3D scan techniques. Conclusions: The 3D technology evaluated in this study has the potential to be used for self-initiated surveillance for LE. With improvements in landmark identification and software modifications, it is possible that accurate and reliable total arm volumes can be calculated and used for early detection.

Dominican Provider Attitudes Towards HPV Testing for Cervical Cancer Screening and, Current Challenges to Cervical Cancer Prevention in the Dominican Republic: a Mixed Methods Study

Creating effective programs for cervical cancer prevention is essential to avoid premature deaths from cervical cancer. The Dominican Republic has persistently high rates of cervical cancer, despite the availability of Pap smear screening. This study explored Dominican provider attitudes towards human papillomavirus (HPV) testing and current challenges to effective cervical cancer prevention. In this Consolidated Framework for Implementation Research (CFIR)-driven mixed methods study, we conducted in-depth interviews (N = 21) and surveys (N = 202) with Dominican providers in Santo Domingo and Monte Plata provinces regarding their perspectives on barriers to cervical cancer prevention and their knowledge and attitudes towards HPV testing as an alternative to Pap smear. Providers believed the main barrier to cervical cancer prevention was lack of cervical cancer awareness and resulting inadequate population screening coverage. Providers felt that Pap smear was widely available to women in the Dominican Republic and were unsure how a change to HPV testing for screening would address gaps in current cervical cancer screening programs. A subset of providers felt HPV testing offered important advantages for early detection of cervical cancer and were in favor of more widespread use. Cost of the HPV test and target age for screening with HPV testing were the main barriers to acceptability. Providers had limited knowledge of HPV testing as a screening test. The group was divided in terms of the potential impact of a change in screening test in addressing barriers to cervical cancer prevention in the Dominican Republic. Findings may inform interventions to disseminate global evidence-based recommendations for cervical cancer screening.

A Comparison of Supine Versus Stand-on Bioimpedance Devices to Assess Breast Cancer-Related Lymphedema

Background: While supine bioimpedance devices are used to evaluate for lymphedema (LE), stand-on devices are gaining popularity. Because research on differences in bioimpedance values between the two devices is limited, this study's purposes were to: (1) determine the average upper limb impedance values and inter-limb ratios for women who self-reported having (n = 34) or not having (n = 61) a history of LE, using a single-frequency supine device and a multifrequency stand-on device; (2) compare the level of agreement in inter-limb impedance ratios between the two devices; evaluate the percent agreement between the two devices in classifying cases of LE using established supine thresholds; and evaluate the percent agreement in classifying cases of LE between the supine device using previously established supine thresholds and the stand-on device using two published standing thresholds. Methods and Results: Bioimpedance measures were done using the two devices. For the entire sample, absolute impedance values for both the affected and unaffected limbs were significantly higher for the stand-on device in women with and without LE. Impedance values for the two methods were highly correlated. Bland-Altman analysis determined that for the entire range of impedance ratios the values for the two devices could not be used interchangeably. Conclusions: Findings suggest that the stand-on device can be a useful and valid tool to assess for LE. However, because agreement is not perfect, values obtained from the two devices should not be used interchangeably to evaluate for changes in impedance ratios, particularly for ratios of >1.20.