Self-reported cancer-related cognitive impairment is associated with perturbed neurotransmission pathways.

BACKGROUND: Cancer-related cognitive impairment (CRCI) is reported by 45% of patients with cancer. Significant gaps in knowledge remain regarding the mechanisms that underlie CRCI. OBJECTIVES: Using a data-driven approach, the study purpose was to evaluate for perturbed pathways associated with membership in the High versus the Low CRCI profiles. METHODS: Patients completed the Attentional Function Index six times over two cycles of chemotherapy. Using findings from a previous latent profile analysis, subgroups of patients with high versus low levels of CRCI were evaluated (i.e., High versus Low CRCI profiles). Gene expression was quantified using either ribonucleic (RNA)-sequencing or microarray analyses and pathway impact analyses were performed. Signaling pathways were defined using the Kyoto Encyclopedia of Genes and Genomes database. RESULTS: A total of 508 patients had data available for analysis. Of the 261 patients in the RNA-sequencing sample, 48.7% were in the High class and 51.3% were in the Low class. Of the 247 patients the microarray sample, 46.6% were in the High class and 53.4% were in the Low class. Pathway impact analyses identified seven perturbed pathways related to neurotransmission (i.e., glutamatergic synapse, GABAergic synapse, dopaminergic synapse, serotonergic synapse, long-term depression, cholinergic synapse, retrograde endocannabinoid signaling). CONCLUSIONS: This study is the first to describe associations between self-reported CRCI in patients receiving chemotherapy for breast, gastrointestinal, gynecological, or lung cancer and seven neurotransmission pathways. These findings provide new insights into potential targets for mechanistically based interventions.

Worse Morning Energy Profiles Are Associated with Significant Levels of Stress and Decrements in Resilience in Patients Receiving Chemotherapy.

OBJECTIVES: Evidence suggests that lower levels of morning energy are associated with higher levels of stress and lower levels of resilience in patients receiving chemotherapy. Study purposes were to identify subgroups of patients with distinct morning energy profiles; evaluate for differences among the profiles in demographic and clinical characteristics, as well as measures of stress, resilience, and coping. METHODS: A total of 1,343 outpatients receiving chemotherapy completed a demographic questionnaire and measures of global, cancer-related, and cumulative life stress, and resilience at study enrollment. Morning energy was assessed using the Lee Fatigue Scale at six time points over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct morning energy profiles. Differences among the subgroups were evaluated using parametric and nonparametric tests. RESULTS: Three morning energy profiles were identified (i.e., High (17.3%), Low (60.3%), Very Low (22.4%)). Compared to High class, the other two morning energy classes were less likely to be employed; had a lower functional status and a higher comorbidity burden; and were more likely to self-report depression and back pain. For all three types of stress, significant differences were found among the three classes with scores that demonstrated a dose response effect (i.e., High < Low < Very Low; as decrements in morning energy increased, stress scores increased). Compared to High class, Very Low class reported higher rates of physical and sexual abuse. The resilience scores exhibited a dose response effect as well (i.e., High > Low > Very Low). Patients with the two worst energy profiles reported a higher use of disengagement coping strategies. CONCLUSIONS: Findings highlight the complex relationships among decrements in morning energy, various types of stress, resilience, and coping in patients undergoing chemotherapy. IMPLICATIONS FOR NURSING PRACTICE: Clinicians need to assess for stress and adverse childhood experiences to develop individualized management plans to increase patients' energy levels.

Associations Between Preoperative Shortness of Breath and Potassium Channels Gene Variations in Women With Breast Cancer.

OBJECTIVES: Shortness of breath is a common symptom in patients with cancer. However, the mechanisms that underlie this troublesome symptom are poorly understood. Therefore, this study aimed to determine the prevalence of and associated risk factors for shortness of breath in women prior to breast cancer surgery and identify associations between shortness of breath and polymorphisms for potassium channel genes. METHODS: Patients were recruited prior to breast cancer surgery and completed a self-report questionnaire on the occurrence of shortness of breath. Genotyping of single nucleotides polymorphism (SNPs) in potassium channel genes was performed using a custom array. Multiple logistic regression analyses were done to identify associations between the occurrence of shortness of breath and SNPs in ten candidate genes. RESULTS: Of the 398 patients, 11.1% reported shortness of breath. These patients had a lower annual household income, a higher comorbidity burden, and a lower functional status. After controlling for functional status, comorbidity burden, genomic estimates of ancestry and self-reported race and ethnicity, the genetic associations that remained significant in the multiple regression analyses were for potassium voltage-gated channel subfamily D (KCND2) rs12673992, potassium voltage-gated channel modifier subfamily S (KCNS1) rs4499491, and potassium two pore channel subfamily K (KCNK2) rs4411107. CONCLUSIONS: While these findings warrant replication, they suggest that alterations in potassium channel function may contribute to the occurrence of shortness of breath in women prior to breast cancer surgery.

Trajectories of Depressive Symptoms Among Patients Undergoing Chemotherapy for Breast, Gastrointestinal, Gynecological, or Lung Cancer.

BACKGROUND: Individuals who undergo chemotherapy for cancer are at elevated risk of developing depressive symptoms, yet substantial interindividual variation exists in trajectories of these symptoms. OBJECTIVE: To examine interindividual variations in trajectories of depressive symptoms during 2 cycles of chemotherapy and to evaluate associations between demographic and clinical characteristics, symptom severity scores, psychological adjustment characteristics (eg, stress and coping), and initial levels and trajectories of depressive symptoms. METHODS: Patients (n = 1323) diagnosed with breast, gynecologic, lung, or gastrointestinal cancer completed the Center for Epidemiological Studies-Depression Scale 6 times, over 2 cycles of chemotherapy. At enrollment, patients provided demographic information and completed a broad range of symptom, stress, and coping measures. Hierarchical linear modeling was used to identify characteristics associated with initial levels and trajectories of depressive symptoms. RESULTS: Interindividual differences in initial levels of depressive symptoms were associated with marital status, functional status, level of comorbidity, chemotherapy toxicity, sleep disturbance, morning fatigue, cognitive function, global and cancer-related stress, and coping characteristics (ie, sense of coherence, venting, behavioral disengagement, and self-blame). Interindividual differences in depression trajectories were associated with education, cancer type, chemotherapy toxicity, sleep disturbance, evening energy, evening fatigue, cognitive function, global and cancer-related stress, and self-blame. CONCLUSIONS: We present new findings concerning the trajectories and predictors of depressive symptoms during chemotherapy. IMPLICATIONS FOR PRACTICE: Modifiable risk factors (eg, stress and coping) are important targets for intervening to address depressive symptoms in oncology patients.

Palpitations in Women With Breast Cancer Are Associated With Polymorphisms for Neurotransmitter Genes.

OBJECTIVES: To evaluate for associations between the occurrence of palpitations reported by women prior to breast cancer surgery and single nucleotide polymorphisms (SNPs) for neurotransmitter genes. SAMPLE & SETTING: A total of 398 women, who were scheduled for unilateral breast cancer surgery, provided detailed information on demographic and clinical characteristics and the occurrence of palpitations prior to breast cancer surgery. METHODS & VARIABLES: The occurrence of palpitations was assessed using a single item (i.e., "heart races/pounds" in the past week ["yes"/"no"]). Blood samples were collected for genomic analyses. Multiple logistic regression analyses were used to identify associations between the occurrence of palpitations and variations in neurotransmitter genes. RESULTS: Nine SNPs and two haplotypes among 11 candidate genes were associated with the occurrence of palpitations. These genes encode for a number of neurotransmitters and/or their receptors, including serotonin, norepinephrine, dopamine, gamma-amino butyric acid, Substance P, and neurokinin. IMPLICATIONS FOR NURSING: These findings suggest that alterations in a variety of neurotransmitters contribute to the development of this symptom.

Gastrointestinal and Neuropsychological Symptoms Are Associated With Distinct Vomiting Profiles in Patients Receiving Chemotherapy.

OBJECTIVES: To identify subgroups of patients with distinct chemotherapy-induced vomiting (CIV) profiles; determine how these subgroups differ on several demographic, clinical, and symptom characteristics; and evaluate factors associated with chemotherapy-induced nausea and CIV profiles. SAMPLE & SETTING: Adult patients (N = 1,338) receiving cancer chemotherapy. METHODS & VARIABLES: Data were collected on demographic, clinical, and symptom characteristics. Differences among subgroups of patients with distinct CIV profiles were evaluated using parametric and nonparametric tests. RESULTS: Three CIV profiles (None, Decreasing, and Increasing) were identified. Compared with the None class, Decreasing and Increasing classes were more likely to have lower household income and a higher comorbidity burden, as well as to report higher rates of dry mouth, nausea, diarrhea, depression, anxiety, sleep disturbance, morning fatigue, and pain interference. IMPLICATIONS FOR NURSING: Clinicians need to assess common and distinct risk factors for CIV and chemotherapy-induced nausea.

Lower Income, Smoking, Cardiopulmonary Comorbidities, and Higher Symptom Burden Influence the Occurrence of Cough in Patients Receiving Chemotherapy.

OBJECTIVES: To identify subgroups of patients with distinct cough occurrence profiles and evaluate for differences among these subgroups. SAMPLE & SETTING: Outpatients receiving chemotherapy (N = 1,338) completed questionnaires six times over two chemotherapy cycles. METHODS & VARIABLES: Occurrence of cough was assessed using the Memorial Symptom Assessment Scale. Latent class analysis was used to identify subgroups with distinct cough occurrence profiles. Parametric and nonparametric tests were used to evaluate for differences. RESULTS: Four distinct cough profiles were identified (None, Decreasing, Increasing, and High). Risk factors associated with membership in the High class included lower annual household income; history of smoking; self-reported diagnoses of lung disease, heart disease, and back pain; and having lung cancer. IMPLICATIONS FOR NURSING: Clinicians need to assess all patients with cancer for cough and provide targeted interventions.

Association Between Genes in the Nuclear Factor E2-Related Factor 2 Antioxidative Response Elements Pathway and Cancer-Related Fatigue in Women With Early-Stage Breast Cancer.

OBJECTIVES: To explore genes in the nuclear factor E2-related factor 2 antioxidative response elements (Nrf2-ARE) signaling pathway using a multiomics approach for associations with variability of cancer-related fatigue (CRF) in postmenopausal women with early-stage hormone receptor-positive breast cancer. SAMPLE & SETTING: Postmenopausal women (N = 116) with early-stage hormone receptor-positive breast cancer were recruited from western Pennsylvania. METHODS & VARIABLES: Candidate genes from the Nrf2-ARE pathway were investigated for associations with CRF occurrence and severity. Associations were evaluated using logistic regression for occurrence and linear regression for severity. RESULTS: The rs2706110 TT genotype in NFE2L2 was associated with a 3.5-fold increase in odds of CRF occurrence. The cytosine-phosphate-guanine (CpG) site cg22820568 in PRDX1 was associated with CRF occurrence and severity. IMPLICATIONS FOR NURSING: Biomarkers based on Nrf2-ARE genes may help to identify women at increased risk for more severe CRF and to develop targeted interventions.

Prevalence and Sociodemographic Correlates of Chronic Pain Among a Nationally Representative Sample of Older Adults in the United States.

Subgroup analyses conducted among U.S. national survey data have estimated that 27 to 34% of adults aged ≥65 years have chronic pain. However, none of these studies focused specifically on older adults or examined disparities in chronic pain in those aged ≥65 years. To obtain current information on the prevalence and sociodemographic correlates of chronic pain in U.S. older adults, a cross-sectional analysis was conducted of data collected from 3,505 older adults recruited from the AmeriSpeak Panel. Chronic pain was defined as pain on most or every day in the last 3 months. Nationally representative chronic pain prevalence estimates were computed by incorporating study-specific survey design weights. Logistic regression analyses evaluated differences in chronic pain status as a function of sociodemographic characteristics (eg, gender, race/ethnicity, and socioeconomic status). The results indicated that 37.8% of older adults reported chronic pain. Compared with White older adults, Black (odds ratio [OR] = .6, 95% CI: .4-.8) and Asian (OR = .2, 95% CI: .1-.8) older adults were less likely to report chronic pain. The prevalence of chronic pain was also lower among those who reported the highest (vs lowest) household income (OR = .6, 95% CI: .4-.8). Those who were not working due to disability (vs working as a paid employee) were more likely to report chronic pain (OR = 3.2, 95% CI: 2.1-5.0). This study was the first to recruit a large, representative sample of older adults to estimate the prevalence of chronic pain and extends prior work by identifying subgroups of older adults that are disproportionately affected. PERSPECTIVE: This study was the first to estimate the prevalence and sociodemographic correlates of chronic pain among a large, representative sample of U.S. older adults. The findings underscore the high prevalence of chronic pain and highlight disparities in chronic pain prevalence rates among this historically understudied population.

Patients' and Clinicians' Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews.

BACKGROUND: Interest in the application of predictive risk models (PRMs) in health care to identify people most likely to experience disease and treatment-related complications is increasing. In cancer care, these techniques are focused primarily on the prediction of survival or life-threatening toxicities (eg, febrile neutropenia). Fewer studies focus on the use of PRMs for symptoms or supportive care needs. The application of PRMs to chemotherapy-related symptoms (CRS) would enable earlier identification and initiation of prompt, personalized, and tailored interventions. While some PRMs exist for CRS, few were translated into clinical practice, and human factors associated with their use were not reported. OBJECTIVE: We aim to explore patients' and clinicians' perspectives of the utility and real-world application of PRMs to improve the management of CRS. METHODS: Focus groups (N=10) and interviews (N=5) were conducted with patients (N=28) and clinicians (N=26) across 5 European countries. Interactions were audio-recorded, transcribed verbatim, and analyzed thematically. RESULTS: Both clinicians and patients recognized the value of having individualized risk predictions for CRS and appreciated how this type of information would facilitate the provision of tailored preventative treatments or supportive care interactions. However, cautious and skeptical attitudes toward the use of PRMs in clinical care were noted by both groups, particularly in relationship to the uncertainty regarding how the information would be generated. Visualization and presentation of PRM information in a usable and useful format for both patients and clinicians was identified as a challenge to their successful implementation in clinical care. CONCLUSIONS: Findings from this study provide information on clinicians' and patients' perspectives on the clinical use of PRMs for the management of CRS. These international perspectives are important because they provide insight into the risks and benefits of using PRMs to evaluate CRS. In addition, they highlight the need to find ways to more effectively present and use this information in clinical practice. Further research that explores the best ways to incorporate this type of information while maintaining the human side of care is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT02356081; https://clinicaltrials.gov/study/NCT02356081.

Chronic Decrements in Energy in Women with Breast Cancer are Associated with Cytokine Gene Polymorphisms.

OBJECTIVES: Decrements in energy were found in 67% of women who underwent breast cancer surgery. However, no information is available on chronic decrements in energy and associations with inflammation. Purposes were to identify latent classes of patients with distinct average energy profiles from prior to through 12 months after breast cancer surgery; evaluate for differences in demographic and clinical characteristics between the two extreme average energy classes; and evaluate for polymorphisms for cytokine genes associated with membership in the Low energy class. METHODS: Women (n = 397) completed assessments of energy prior to and for 12 months following breast cancer surgery. Growth mixture modeling was used to identify classes of patients with distinct average energy profiles. Eighty-two single nucleotide polymorphisms (SNPs) among 15 cytokine genes were evaluated. RESULTS: Three distinct energy profiles were identified (ie, Low [27.0%], Moderate [54.4%], Changing [18.6%]). Data from patients in the Low and Moderate energy classes were used in the candidate gene analyses. Five SNPs and one haplotype in six different genes remained significant in logistic regression analyses (ie, interleukin [IL]-1ß rs1143623, IL1 receptor 1 rs3917332 IL4 rs2243263, IL6 HapA1 [that consisted of rs1800795, rs2069830, rs2069840, rs1554606, rs2069845, rs2069849, and rs2069861], nuclear factor kappa beta subunit 1 rs170731, tumor necrosis factor rs1799964). For several SNPs for IL6, expression quantitative trait locis were identified in subcutaneous and visceral adipose tissue and thyroid tissue. In addition, skeletal muscle was identified as an expression quantitative trait loci for nuclear factor kappa beta subunit 1. CONCLUSIONS: Findings suggest that cytokine genes are involved in the mechanisms that underlie chronic decrements in energy in women following breast cancer surgery. Given the roles of subcutaneous and visceral adipose and thyroid tissues in metabolism and energy balance, the findings related to IL6 suggest that these polymorphisms may have a functional role in the development and maintenance of chronic decrements in energy.

Multidimensional Model of Energy in Patients With Cancer.

OBJECTIVES: Evidence suggests that energy is a distinct symptom from fatigue in patients with cancer. The purpose of this paper is to present the Multidimensional Model of Energy in Patients with Cancer (MMEPC) that is based on emerging evidence and to make recommendations for clinical practice and future research. METHODS: The literature was reviewed to determine various factors associated with variations in energy in patients with cancer. In addition, some of the emerging evidence in the model is supported by studies of energy in the general population and in patients with other chronic conditions. RESULTS: Based on a review of the literature, specific concepts in the MMEPC include: person factors, clinical factors, cancer-related factors, biological factors, factors associated with energy balance, and co-occurring symptoms. The evidence to support the association between each of these factors and variations in energy levels in patients with cancer is described and synthesized. CONCLUSION: This article provides emerging evidence on factors that influence variations in energy levels in patients with cancer. While the fundamental biobehavioral and biologic mechanisms that underlie variations in energy levels are not well understood, the model can be used to design pre-clinical and clinical studies of energy in patients with cancer. In addition, while emerging evidence supports the hypothesis that fatigue and energy are distinct symptoms, additional research on common and distinct risk factors and underlying mechanisms is warranted to be able to develop and test precision interventions for one or both symptoms. IMPLICATIONS FOR NURSING PRACTICE: The risk factors (eg, being female, sleep quality) associated with variations in energy levels in patients with cancer identified in this paper have important clinical implications. Clinicians can use the identified risk factors to guide their assessments; identify high-risk patients with decrements in energy decrement; and develop targeted energy conservation interventions for the patients.

Stress and Coping in Patients With Cancer With Depression and Sleep Disturbance.

OBJECTIVES: To evaluate for differences in global, cancer-specific, and cumulative life stress, as well as resilience and use of various coping strategies among five groups (no depression or sleep disturbance, no depression and moderate sleep disturbance, subsyndromal depression and very high sleep disturbance, moderate depression and moderate sleep disturbance [Both Moderate]; and high depression and very high sleep disturbance [Both High]). SAMPLE & SETTING: Patients (N = 1,331) receiving chemotherapy were recruited from outpatient oncology clinics. METHODS & VARIABLES: Measures of global, cancer-specific, and cumulative life stress, resilience, and coping were obtained. Differences were evaluated using parametric and nonparametric tests. RESULTS: Global and cancer-specific stress scores increased as joint profiles worsened. Both Moderate and Both High classes had cancer-specific stress scores suggestive of post-traumatic stress. Both Moderate and Both High classes reported higher occurrence rates for several stressful life events and higher use of disengagement coping. Both Moderate and Both High classes had resilience scores below the normative score for the United States. IMPLICATIONS FOR NURSING: Clinicians need to screen vulnerable patients for post-traumatic stress disorder and implement interventions to reduce stress.

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.

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.

The Development and Implementation of the Fast-Pace Assessment Framework and Tiered Analgesic Orders for Opioid Optimization.

BACKGROUND: Within the context of the opioid epidemic, changes needed to be made in the prescription and administration of analgesics. The purpose of this paper is to describe the development and implementation of a project that utilized a holistic pain assessment framework and introduced new order sets to guide the integration of nonopioid, opioid, and co-analgesics in a quaternary care medical center. METHODS: An interdisciplinary team updated policies and procedures for pain assessment and opioid administration and created new analgesic order sets for both adult and pediatric patients. Following requisite approvals, these order sets were integrated into the electronic health record. Education of clinicians, patients, and caregivers was provided to facilitate implementation of these new clinical practices. RESULTS: Prescribers' levels of adherence with the use of the pain order sets ranged from 80% to 90% and no adverse effects were reported. Education of nursing staff was incorporated into hospital orientation. Ongoing evaluations are providing insights into how the new policies and procedures can be optimized to ensure reliable, safe, and effective pain management. CONCLUSIONS: Since the implementation of the opioid optimization project, adherence with the tiered, multimodal approach to analgesic prescribing is high. Next steps include both qualitative and quantitative evaluations of the benefits and challenges associated with this practice change. For example, systems will be developed to monitor nurses' adherence with the implementation of the pain order sets and the use of both pharmacologic and nonpharmacologic pain management interventions.

Common and distinct risk factors that influence more severe and distressing shortness of breath profiles in oncology outpatients.

BACKGROUND: Shortness of breath occurs in 10%-70% of oncology patients. Very little is known about interindividual variability in its severity and distress and associated risk factors. Using latent profile analyses (LPAs), purpose was to identify subgroups of patients with distinct severity and distress profiles for shortness of breath as single symptom dimensions. In addition, a joint LPA was done using patients' severity AND distress ratings. For each of the three LPAs, differences among the shortness of breath classes in demographic, clinical, symptom, stress, and resilience characteristics were evaluated. METHODS: Patients completed ratings of severity and distress from shortness of breath a total of six times over two cycles of chemotherapy. All of the other measures were completed at enrollment (i.e., prior to the second or third cycle of chemotherapy). Separate LPAs were done using ratings of severity and distress, as well as a joint analysis using severity AND distress ratings. Differences among the latent classes were evaluated using parametric and nonparametric tests. RESULTS: For severity, two classes were identified (Slight to Moderate [91.6%] and Moderate to Severe [8.4%]). For distress, two classes were identified (A Little Bit to Somewhat [83.9%] and Somewhat to Quite a Bit [16.1%]). For the joint LPA, two classes were identified (Lower Severity and Distress [79.9%] and Higher Severity and Distress [20.1%]). While distinct risk factors were associated with each of the LPAs, across the three LPAs, the common risk factors associated with membership in the worse class included: a past or current history of smoking, poorer functional status, and higher comorbidity burden. In addition, these patients had a higher symptom burden and higher levels of cancer-specific stress. CONCLUSIONS: Clinicians can use the information provided in this study to identify high-risk patients and develop individualized interventions.