A Conceptual Model of Psychoneurological Symptom Cluster Variation in Women with Breast Cancer: Bringing Nursing Research to Personalized Medicine

Heterogeneity of depression trajectories and associated risk factors during radiotherapy in patients with gastrointestinal cancer: A longitudinal study

PURPOSE

To identify the heterogeneity in depression trajectories and factors influencing depression during radiotherapy in patients with gastrointestinal cancer.

METHODS

Between August 2023 and May 2024, we longitudinally tracked the symptoms of 146 patients with gastrointestinal cancer at T0 (pre-radiotherapy), T1 (mid-radiotherapy), and T2 (1-month post-radiotherapy). Group-based trajectory models were used to identify subgroups of depression trajectories. A fit-criteria assessment plot was used to assess the accuracy of grouping, and univariate and multivariate logistic regression models were used to analyze the potential independent factors associated with the subgroups.

RESULTS

Patients were categorized into three subgroups: no depression (31.5 %), mild depression (54.1 %), and moderate depression (14.4 %) group. Patients aged >65 years (P < 0.05), those with a malnutrition-inflammation complex (P < 0.05), and those accompanied by children (P < 0.05) were more likely to belong to the moderate depression group. Between-group and within-group differences in psychoneurologic symptoms, such as fatigue, remained consistent with depression. Depressive symptoms were most severe mid-radiotherapy, and moderately depressed patients were at risk of developing major depression.

CONCLUSIONS

There was significant heterogeneity in depression during radiotherapy among patients with gastrointestinal cancer. Clinicians should focus on identifying high-risk patients with depression aged >65 years, those with a malnutrition-inflammation complex, and those accompanied by children. They should actively implement pharmacological and non-pharmacological treatments and refer them to specialized psychological clinics, if necessary, to prevent the occurrence of major depression.

Identification of Symptom Profiles in Prostate Cancer Survivors

OBJECTIVES

To identify symptom profiles (e.g., fatigue, sleep disturbance, depression, anxiety, cognitive impairment) among prostate cancer survivors, examine factors associated with the identified symptom profiles, and compare quality-of-life outcomes.

SAMPLE & SETTING

98 prostate cancer survivors who completed primary treatment were enrolled in a randomized parent trial.

METHODS & VARIABLES

Established scales were used to measure symptoms and quality of life. Latent profile analysis was employed to classify patient groups based on symptom experiences. Logistic regression assessed factors associated with symptom profiles.

RESULTS

The mean age of participants was 69 years (SD = 6.8). A high-symptom group (n = 29) and a low-symptom group (n = 69) were identified. Higher perceived stress (odds ratio [OR] = 1.28; p = 0.006), poorer spiritual well-being (OR = 0.84; p = 0.006), and lower household income (OR = 0.12; p = 0.089) were associated with being classified into the high-symptom group. Patients in the high-symptom group reported worse quality of life across all domains (p < 0.05).

IMPLICATIONS FOR NURSING

Prostate cancer survivors experience varying degrees of symptom severity. Understanding the symptom profiles and associated factors can inform nurses about patients in need of symptom management and targeted interventions.

Predictive risk model of mild cognitive impairment in patients with malignant haematological diseases after haematopoietic stem cell transplantation

OBJECTIVE

This study is to develop and validate a robust risk prediction model for mild cognitive impairment (MCI) in patients with malignant haematological diseases after haematopoietic stem cell transplantation (HSCT).

METHODS

In this study, we analysed the clinical data of the included patients. Logistic regression analysis was used to identify independent risk factors for cognitive impairment after HSCT in patients with malignant haematological diseases, and a risk prediction model was constructed. Multiple cohorts of patients with haematological malignancies after HSCT (282 cases) from the Affiliated Hospital of Xuzhou Medical University and the First People's Hospital of Yancheng City between April 2019 and February 2022, and patients from the Affiliated Huaian No.1 People's Hospital of Nanjing Medical University between March 2022 and July 2023 were used for external validation. Logistic regression analysis was performed to develop the predictive model. The predictive value and consistency of the model were evaluated using the area under the curve (AUC) and calibration method, respectively. Decision curve analysis (DCA) was performed to access the utility of the model.

RESULTS

Approximately half (52.26%) of the patients in the study developed mild cognitive impairment (MCI). Older age, allogeneic HSCT, anxiety, graft-versus-host disease, and longer hospital stay were associated with a higher risk of developing MCI. ROC curve analysis confirmed the sound performance of the predictive model and external validation, with AUC of 0.897 and 0.789 respectively. The direction of the calibration curves of the training and validation sets is closer to the diagonal (ideal curve), indicating good model consistency; the DCA curves also show that the model has good predictive ability and stability.

CONCLUSIONS

We conclude that it is possible to predict mild cognitive impairment with readily available, mostly pretransplant predictors. The accuracy of the risk prediction models can be improved for use in clinical practice, possibly by adding pretransplant patient-reported functioning and comorbidities.

The Gut Microbiome and Symptom Burden After Kidney Transplantation: An Overview and Research Opportunities

Many kidney transplant recipients continue to experience high symptom burden despite restoration of kidney function. High symptom burden is a significant driver of quality of life. In the post-transplant setting, high symptom burden has been linked to negative outcomes including medication non-adherence, allograft rejection, graft loss, and even mortality. Symbiotic bacteria (microbiota) in the human gastrointestinal tract critically interact with the immune, endocrine, and neurological systems to maintain homeostasis of the host. The gut microbiome has been proposed as an underlying mechanism mediating symptoms in several chronic medical conditions including irritable bowel syndrome, chronic fatigue syndrome, fibromyalgia, and psychoneurological disorders via the gut-brain-microbiota axis, a bidirectional signaling pathway between the enteric and central nervous system. Post-transplant exposure to antibiotics, antivirals, and immunosuppressant medications results in significant alterations in gut microbiota community composition and function, which in turn alter these commensal microorganisms' protective effects. This overview will discuss the current state of the science on the effects of the gut microbiome on symptom burden in kidney transplantation and future directions to guide this field of study.

Associations of the gut microbiome with psychoneurological symptom cluster in women with gynecologic cancers: a longitudinal study

PURPOSE

The present study aimed to evaluate the associations between the gut microbiome and psychoneurological symptoms (PNS) cluster in women with gynecologic cancers over time.

METHODS

In this secondary data analysis, 19 women with cervical and endometrial cancers treated with radiotherapy were followed at pre-treatment, 6-8 weeks, and 6 months post-treatment. To measure symptoms, Functional Assessment of Cancer Therapy-General (FACT-G) and Patient Health Questionnaire-9 (PHQ-9) were used. An average Z score of at least three out of five symptoms was computed as the PNS cluster total score. Rectal swabs were also collected at the same time points and sequenced using 16S rRNA V4 regions. The Kruskal-Wallis and permutational multivariable analysis of variance tests were used to compare α- and β-diversity between patients with high and low PNS cluster. The linear discriminant analysis effect size (LEfSe) tested taxa differences between study groups. Also, the linear mixed-effect model was used to evaluate the association of the gut microbiome and the PNS cluster over cancer treatment.

RESULTS

The patients' mean age was 58 years, 47% Black, 52% single/divorced, and 66% had college or above education. Among the participants, 63% had endometrial cancer with stage I disease. There was a different taxonomy profile between patients with high and low PNS. Patients with high PNS had a lower α-diversity than those with low PNS (Shannon, p = 0.03, evenness, p = 0.03). The mixed effects model results showed that low α-diversity and abundance of Fusicatenibacter and Ruminococcus were associated with high PNS cluster over cancer treatment.

CONCLUSION

The association between the gut microbiome and PNS cluster suggest that the gut microbiota plays a role in developing the PNS cluster. Future larger studies are required to shed light on the gut microbiota role in symptom development in gynecologic cancer patients.

Psychoneurological symptom cluster trajectories in individuals treated for early-stage breast cancer

BACKGROUND/PURPOSE

The psychoneurological (PN) symptom cluster has been defined in the literature as anxiety, depression, fatigue, sleep disturbance, and pain. PN symptoms are influenced by cancer and its treatment as well as biological and psychosocial factors. The purpose of this analysis was to describe temporal patterns of the PN symptom cluster severity in breast cancer survivors over the year following initial surgical intervention and investigate the time-dependent effect of treatment modality on symptom severity.

METHODS

In a prospective longitudinal study, symptom data were collected from individuals with early-stage breast cancer 48 h after initial surgery and at monthly intervals for the subsequent 12 months using the PROMIS®-29 subscales for anxiety, depression, fatigue, sleep disturbance, and pain. Applying group-based trajectory modeling, we classified participants into subgroups with similar temporal patterns of PN symptom cluster severity and included treatment modality as a time-dependent covariate.

RESULTS

Across 353 participants (mean age 60.10 ± 11.9 years, 88.95% white, 66.57% undergoing segmental mastectomies), four distinct trajectory subgroups (mild [47.6%; n = 168], moderate [28.3%; n = 100], severe [15.9%; n = 56], and most severe increasing [8.2%; n = 29]) were revealed for PN symptom cluster severity. Chemotherapy was associated with greater severity in all symptom severity subgroups, while radiation was associated with greater symptom severity in the mild and most severe increasing subgroups.

CONCLUSIONS AND IMPLICATIONS

A subgroup of individuals with early-stage breast cancer experienced persistent severe PN symptoms. Future research should focus on psychosocial, biological, and disease-related characteristics of individuals in the most severe symptom group to inform preventative treatments and effective interventions.

The Cancer Genomic Integration Model for Symptom Science (CGIMSS): A Biopsychosocial Framework

Current nursing research has characterized symptom clusters and trajectories in individuals with breast cancer. The existing literature describes the relationship between symptoms and biological variables and the potential moderating effects of individual and social factors. The genomic profiling of breast cancer has also been an area of much recent research. Emerging evidence indicates that incorporating cancer genomics into symptom science research can aid in the prognostication of symptoms and elucidate targets for symptom management interventions. The aim of this paper is to outline a model to integrate cancer genomics into symptom science research, illustrated using breast cancer and psychoneurological (PN) symptoms as an example. We present a review of the current literature surrounding breast cancer genomics (specifically cancer genomic instability) and the biological underpinnings of the PN symptom cluster. Advances in both of these areas indicate that inflammation may serve as the bridge between cancer genomics and the PN symptom cluster. We also outline how the integration of cancer genomics into symptom science research synergizes with current research of individual and social factors in relation to symptoms. This model aims to provide a framework to guide future biopsychosocial symptom science research that can elucidate new predictive methods and new targets for intervention.

Sickness Symptoms in Kidney Transplant Recipients: A Scoping Review

Sickness symptoms (depressive symptoms, anxiety, and fatigue) are common among people with chronic illness, often presenting as a symptom cluster. Sickness symptoms persist in many patients with chronic kidney disease, even after kidney transplantation (KT); however, little is known about sickness symptom-induced burden in KT recipients. This scoping review synthesizes available evidence for sickness symptoms in KT recipients, including findings on symptom prevalence, predictors, outcomes, interrelationships, and clustering. Among 38 reviewed studies, none identified sickness symptoms as a cluster, but we observed interrelationships among the symptoms examined. Fatigue was the most prevalent sickness symptom, followed by anxiety and depressive symptoms. Predictors of these symptoms included demographic, clinical, and psychosocial factors, and health-related quality of life was the most researched outcome. Future research should use common data elements to phenotype sickness symptoms, include biological markers, and employ sophisticated statistical methods to identify potential clustering of sickness symptoms in KT recipients.

Feasibility of Investigational Procedures and Efficacy of a Personalized Omega-3 Dietary Intervention in Alleviating Pain and Psychoneurological Symptoms in Breast Cancer Survivors

BACKGROUND

Breast cancer survivors (BCS) are at risk for psychoneurological symptoms (PNS) and inflammation for years following cancer treatment. Fish, particularly salmon, provides a rich source of omega-3 long chain fatty acids (omega-3LC), which has an anti-inflammatory effect. However, the benefit of omega-3LC on PNS is not well-known.

AIMS

This study evaluated the feasibility and the initial efficacy of a personalized meal plan with dietary omega-3LC in reducing PNS.

METHODS

A prospective, randomized controlled trial design (n = 46) was used to evaluate the feasibility of a personalized meal plan using two omega-3LC dose levels (high and low omega-3LC) in reducing PNS including pain, depression, fatigue, sleep, and stress.

RESULTS

The recruitment rate was 4.9% with overall retention rate of 74% and 67.1% adherence to personalized meal plan and dietary procedures. Of participants who completed the investigation, 94% completed fish adherence logs and consumed ≥70% of the assigned quantity of fish. Saliva collection was 97.8% at baseline and 100% at follow-up. BCS in the high omega-3LC group had a significant decrease in pain (p < .01), perceived stress (p < .05), sleep (p < .001), depression (p < .001), and fatigue (p < .01) over the course of intervention. There were trends of PNS improvement in the low omega-3LC group but the differences did not reach statistical significance.

CONCLUSION

Our results support the feasibility of our investigational design, procedures, and intervention. The outcomes provide preliminary support for an expanded research effort using fish as a source of omega-3LC and personalized dietary planning as a vehicle for symptom self-management in BCS.

Social relationships and their associations with affective symptoms of women with breast cancer: A scoping review

BACKGROUND

Problems in affective and cognitive functioning are among the most common concurrent symptoms that breast cancer patients report. Social relationships may provide some explanations of the clinical variability in affective-cognitive symptoms. Evidence suggests that social relationships (functional and structural aspects) can be associated with patients' affective-cognitive symptoms; however, such an association has not been well studied in the context of breast cancer.

PURPOSE

The purpose of this scoping review was to address the following question: What social relationships are associated with affective-cognitive symptoms of women with breast cancer?

METHODS

This scoping review used the framework proposed by Arksey and O'Malley and PRISMA-Sc. Studies published by February 2022 were searched using four databases: MEDLINE (PubMed), Embase (Elsevier), PsycINFO (EBSCOhost), and Web of Science (Clarivate). All retrieved citations were independently screened and eligibility for inclusion was determined by study team members. Extracted data included research aims, design, sample, type and measures of social relationships (functional and structural), and the association between social relationships and affective-cognitive symptoms.

RESULTS

A total of 70 studies were included. Affective symptoms were positively associated with social support, family functioning, quality of relationships, social networks, and social integration, whereas the negative association was found with social constraints.

CONCLUSION

Our findings suggest positive social relationships may mitigate affective symptoms of women with breast cancer. Thus, health care providers need to educate patients about the importance of building solid social relationships and encourage them to participate in a supportive network of friends and family members.

Patient-centred approaches for the management of unpleasant symptoms in kidney disease

Patients with chronic kidney disease (CKD) frequently experience unpleasant symptoms. These can be gastrointestinal (constipation, nausea, vomiting and diarrhoea), psychological (anxiety and sadness), neurological (lightheadedness, headache and numbness), cardiopulmonary (shortness of breath and oedema), dermatological (pruritus and dry skin), painful (muscle cramps, chest pain and abdominal pain) or involve sexual dysfunction, sleep disorders and fatigue. These symptoms often occur in clusters, with one of them as the lead symptom and others as secondary symptoms. Uraemic toxins (also called uremic toxins) are often considered to be the main cause of CKD-associated symptom burden, but treatment of uraemia by dialysis often fails to resolve them and can engender additional symptoms. Indeed, symptoms can be exacerbated by comorbid conditions, pharmacotherapies, lifestyle and dietary regimens, kidney replacement therapy and ageing. Patients with kidney disease, including those who depend on dialysis or transplantation, should feel actively supported in their symptom management through the identification and targeting of unpleasant symptoms via a tailored palliative care approach. Such an approach may help minimize the burden and consequences of kidney disease, and lead to improved patient outcomes including health-related quality of life and better life participation.

Cognitive dysfunction prevalence and associated factors in older breast cancer survivors

OBJECTIVES

The purpose of this study was to examine the prevalence and factors associated with objective and subjective cognitive dysfunction in older breast cancer survivors (BCS).

MATERIALS AND METHODS

This cross-sectional descriptive study leveraged previously collected data from older BCS (n = 335). Separate linear regression models were used to determine relationships between demographic factors (age, education), medical factors (comorbidities), disease factors (time since diagnosis, cancer stage), cancer-related symptoms (depressive symptoms, anxiety, fatigue, sleep disturbance) and cognitive dysfunction measures, including objective learning, delayed recall, attention, executive function-working memory, verbal fluency and subjective attentional function.

RESULTS

Cognitive dysfunction was prevalent with up to 18.6% of older BCS experiencing mild-moderate dysfunction (1.5 standard deviations below mean of non-cancer controls) in at least one cognitive domain. Poor to moderate subjective attentional function was reported by 26% of older BCS. More depressive symptoms were significantly related to poorer cognitive function including learning (p < .01), delayed recall (p < .05), verbal fluency (p < .001), and subjective attentional function (p < .001) but not attention and executive function-working memory. Age, education, anxiety, and fatigue were also negatively associated with cognitive function in some models (p < .05-0.001).

CONCLUSION

Cognitive dysfunction is common among older BCS and depressive symptoms, anxiety, and fatigue are related factors. Importantly, depressive symptoms were not only related to self-report, but also to cognitive performance. Healthcare providers should be aware of and assess for related factors and cognitive dysfunction itself in older BCS even years after diagnosis and treatment thorough geriatric assessment. Future longitudinal research is needed to discern these relationships.

Inflammatory Markers, Metabolic Profile, and Psychoneurological Symptoms in Women with Breast Cancer: A Literature Review

Breast cancer is one of the most prevalent cancers in women. The improvement in breast cancer treatment has significantly increased the proportion of survival rate for women with breast cancer. Despite the advancement in breast cancer treatment, a great proportion of survivors suffer from co-occurring psychoneurological symptoms which impact their quality of life. The most frequently reported psychoneurological symptoms among women with breast cancer are depressive symptoms, anxiety, fatigue, sleep disturbances, and pain. These symptoms usually appear as a cluster. Inflammatory activation and serum metabolic alterations have been associated with the etiology of cancer and with various chronic neurocognitive disorders. However, to date, no studies considered the combined effects of inflammatory markers and metabolites in the development of psychoneurological symptoms in women with breast cancer especially those who were treated with chemotherapy. Further clarification of the relationships between the inflammatory markers, serum metabolic alterations, and psychoneurological symptoms in women with breast cancer should be pursued.

Neurocognitive Impairment After Hematopoietic Stem Cell Transplant for Hematologic Malignancies: Phenotype and Mechanisms

Hematopoietic stem cell transplant (HSCT) plays a central role in the treatment of hematologic cancers. With the increasing survival of patients after HSCT, survivorship issues experienced by this population have become an important outcome. Cognitive impairment is an established sequela of HSCT, with studies to date establishing its presence, associated risk factors, and clinical phenotype. There are multiple potential contributors to cognitive impairment after HSCT. Efforts are ongoing to further characterize its clinical phenotype, associated biomarkers, and biologic underpinnings. A fundamental knowledge of post-HSCT cognitive impairment is of value for all clinicians who interface with this population, and further academic efforts are needed to more fully understand the impact of this cancer treatment on brain health. IMPLICATIONS FOR PRACTICE: As survival outcomes after hematopoietic stem cell transplant (HSCT) improve, an awareness of the post-treatment challenges faced by this population has become central to its care. HSCT can have a sustained and broad impact on brain health, causing cognitive dysfunction, fatigue, disturbed mood, and sleep. In affected patients, autonomy, return to work, relationships, and quality of life may all be affected. A fundamental fluency in this area is important for clinicians interfacing with HSCT survivors, facilitating the identification and management of cognitive dysfunction and concurrent symptom clusters, and stimulating interest in these sequelae as areas for future clinical research.

Characteristics of Cancer Symptom Clusters Reported through a Patient-Centered Symptom Cluster Assessment

In the scope of symptom cluster research, few investigators have obtained patients' perceptions of their symptom clusters, even though this information is central to designing effective interventions. In this cross-sectional study, 38 adults with cancer completed measures of demographics, health outcomes (functional status, well-being, quality of life) and a symptom cluster assessment that captured symptom occurrence, severity, distress, clustering, a priority cluster, causal attributions, duration, directional relationships, and cluster interference with daily life. Participants described 72 distinct symptom clusters. Symptoms were most frequently attributed to the cancer diagnosis. Participants' priority symptom cluster typically included two symptoms of continuous duration and one intermittent symptom. Temporal order and direction of symptom relationships varied, with 75 different relationships described among symptom pairs. Greater symptom cluster burden and interference were related to poorer health outcomes. This patient-centered view of symptom clusters revealed substantial variability in symptom cluster characteristics with important implications for symptom management.

Systematic Review of the Kynurenine Pathway and Psychoneurological Symptoms Among Adult Cancer Survivors

The co-occurrence of multiple psychoneurological symptoms, including pain, sleep disturbance, fatigue, depression, anxiety, and cognitive disturbance among adult cancer survivors led us to question which common biological mechanisms are shared among these conditions. Variances in tryptophan (Trp) levels and downstream metabolites of the kynurenine (Kyn) metabolic pathway are known to affect immune response and psychoneurological symptoms. The objective of this systematic review was to help us (a) better understand the role of the Kyn pathway in psychoneurological symptoms among adult cancer survivors and (b) identify common significant biomarkers across psychoneurological symptoms as a guide for future research. Some evidence has shown that decreased Trp levels and increased Kyn, Trp/Kyn ratio, and kynurenic acid/Trp ratio in parallel with immune activation are correlated with some psychoneurological symptoms among people undergoing cancer treatment, although discrepancies exist between studies. Kyn pathway activation could also be associated with psychoneurological symptoms among adult cancer survivors, but further research is needed to confirm its exact etiological role with respect to psychoneurological symptoms.

Pretreatment Psychoneurological Symptoms and Their Association With Longitudinal Cognitive Function and Quality of Life in Older Breast Cancer Survivors

CONTEXT

Symptoms affect quality of life (QOL), functional status, and cognitive function in cancer survivors, but older survivors are understudied.

OBJECTIVES

The objectives of this study were to identify prototypical presystemic therapy psychoneurological symptom clusters among older breast cancer survivors and determine whether these symptom clusters predicted cognition and QOL over time.

METHODS

Women with newly diagnosed nonmetastatic breast cancer (n = 319) and matched noncancer controls (n = 347) aged 60+ years completed questionnaires and neuropsychological tests before systemic therapy and 12 and 24 months later. Latent class analysis identified clusters of survivors based on their pretherapy depression, anxiety, fatigue, sleep disturbance, and pain. Linear mixed-effects models examined changes in objective cognition, perceived cognition, and functional status (Instrumental Activities of Daily Living disability, functional well-being, and breast cancer-specific QOL) by group, controlling for covariates.

RESULTS

Nearly one-fifth of older survivors were classified as having high pretherapy symptoms (n = 51; 16%); the remainder had low symptoms (n = 268; 84%); both groups improved over time on all outcomes. However, compared to the low symptom group and controls, survivors with high symptoms had lower baseline objective cognition and lower perceived cognition at baseline and 24 months, lower functional well-being at baseline and 12 months, greater Instrumental Activities of Daily Living disability at baseline, and lower breast cancer-specific QOL at all time points (all P < 0.05).

CONCLUSION

Nearly one-fifth of older breast cancer survivors had high psychoneurological symptoms at diagnosis, which predicted clinically meaningful decrements in perceived cognition and function in the first 24 months after diagnosis. Pretreatment psychoneurological symptom clusters could identify survivors for monitoring or intervention.

Systematic review of genetic polymorphisms associated with psychoneurological symptoms in breast cancer survivors

PURPOSE

Psychoneurological (PN) symptoms, such as anxiety, cognitive impairment, depression, fatigue, sleep disturbances, and pain, are highly prevalent in breast cancer patients undergoing cancer treatment. Emerging evidence suggests that genetic polymorphisms may contribute to differential symptom susceptibility. We aimed to systematically review associations between genetic polymorphisms and PN symptoms during or after cancer treatment for early-stage breast cancer.

METHODS

Twenty-six eligible articles published until October 2017 were identified in PubMed, PsycINFO, Web of Science, and additional records. Information on study characteristics, genetic polymorphisms, and PN symptoms was extracted. Study quality was evaluated by the STrengthening the REporting of Genetic Association (STREGA) guideline. Genes included in the analysis were categorized by biological pathways based on the Reactome database.

RESULTS

A total of 54 single nucleotide polymorphisms and haplotypes that are significantly associated with PN symptoms were identified; half of them were associated with increased severity of PN symptoms, while the other half contributed to the decrease of PN symptoms. Pain has the known highest number of associated genetic polymorphisms reported, followed by fatigue, cognitive impairment, depressive symptoms, sleep disturbances, and anxiety. The majority of genetic polymorphisms were involved in immune system and neuronal system pathways. Most studies were unsuccessful in meeting the STREGA guideline, which requires transparent reporting of methods and results.

CONCLUSIONS

This review provides comprehensive evidence of genetic polymorphisms underlying PN symptoms, which may pave the way for the development of personalized therapeutics targeting these symptoms. More well-designed genome-wide association studies are required to validate and replicate these findings.

Metastatic breast cancer patients' expectations and priorities for symptom improvement

PURPOSE

Little research has examined cancer patients' expectations, goals, and priorities for symptom improvement. Thus, we examined these outcomes in metastatic breast cancer patients to provide patients' perspectives on clinically meaningful symptom improvement and priorities for symptom management.

METHODS

Eighty women with metastatic breast cancer participated in a survey with measures of comorbidity, functional status, engagement in roles and activities, distress, quality of life, and the modified Patient-Centered Outcomes Questionnaire that focused on 10 common symptoms in cancer patients.

RESULTS

On average, patients reported low to moderate severity across the 10 symptoms and expected symptom treatment to be successful. Patients indicated that a 49% reduction in fatigue, 48% reduction in thinking problems, and 43% reduction in sleep problems would represent successful symptom treatment. Cluster analysis based on ratings of the importance of symptom improvement yielded three clusters of patients: (1) those who rated thinking problems, sleep problems, and fatigue as highly important, (2) those who rated pain as moderately important, and (3) those who rated all symptoms as highly important. The first patient cluster differed from other subgroups in severity of thinking problems and education.

CONCLUSIONS

Metastatic breast cancer patients report differing symptom treatment priorities and criteria for treatment success across symptoms. Considering cancer patients' perspectives on clinically meaningful symptom improvement and priorities for symptom management will ensure that treatment is consistent with their values and goals.

Pilot Study of Metabolomics and Psychoneurological Symptoms in Women With Early Stage Breast Cancer

Many women with breast cancer experience symptoms of pain, fatigue, and depression, collectively known as psychoneurologic (PN) symptoms, during and after chemotherapy treatment. Evidence that inflammatory dysfunction related to cancer and its treatments contributes to the development and persistence of PN symptoms through several interrelated pathways is accumulating. However, a major limiting factor in more precisely identifying the biological mechanisms underlying these symptoms is the lack of biological measures that represent a holistic spectrum of biological responses. Metabolomics allows for examination of multiple, co-occurring metabolic pathways and provides a systems-level perspective on biological mechanisms that may contribute to PN symptoms.

METHODS

In this pilot study, we performed serum metabolome analysis using liquid chromatography high-resolution mass spectrometry of global and targeted metabolomics from the tryptophan pathway from archived samples from 19 women with early-stage breast cancer. We used paired t tests to compare metabolite concentrations and Pearson's correlation coefficients to examine concomitant changes in metabolite concentrations and PN symptoms before and after chemotherapy.

RESULTS

Levels of pain, fatigue, and depression increased after chemotherapy. Compared with pre-chemotherapy, global metabolites post-chemotherapy were characterized by higher concentrations of acetyl-l-alanine and indoxyl sulfate and lower levels of 5-oxo-l-proline. Targeted analysis indicated significantly higher kynurenine levels and kynurenine/tryptophan ratios post-chemotherapy. Symptoms of pain and fatigue had strong associations with multiple global and several targeted metabolites.

CONCLUSION

Results demonstrated that metabolomics may be useful for elucidating biological mechanisms associated with the development and severity of PN symptoms, specifically pain and fatigue, in women with early-stage breast cancer.

Differences in symptom clusters before and twelve months after breast cancer surgery

PURPOSE

Given the inter-relatedness among symptoms, research efforts are focused on an evaluation of symptom clusters. The purposes of this study were to evaluate for differences in the number and types of menopausal-related symptom clusters assessed prior to and at 12-months after surgery using ratings of occurrence and severity and to evaluate for changes in these symptom clusters over time.

METHODS

Prior to and at 12 months after surgery, 392 women with breast cancer completed the Menopausal Symptoms Scale. Exploratory factor analyses were used to identify the symptom clusters.

RESULTS

Of the 392 women evaluated, the mean number of symptoms (out of 46) was 13.2 (±8.5) at enrollment and 10.9 (±8.2) at 12 months after surgery. Using occurrence and severity, three symptom clusters were identified prior to surgery. Five symptom clusters were identified at 12 months following surgery. Two symptom clusters (i.e., pain/discomfort and hormonal) were relatively stable across both dimensions and time points. Two symptom clusters were relatively stable across both dimensions either prior to surgery (i.e., sleep/psychological/cognitive) or at 12 months after surgery (i.e., sleep). The other four clusters (i.e., irritability, psychological/cognitive, cognitive, psychological) were identified at one time point using a single dimension.

CONCLUSIONS

While some menopausal-related symptom clusters were consistent across time and dimensions, the majority of symptoms clustered together differently depending on whether they were evaluated prior to or at 12 months after breast cancer surgery. An increased understanding of how symptom clusters change over time may assist clinicians to focus their symptom assessments and management strategies.

Mindfulness-Based Stress Reduction in Post-treatment Breast Cancer Patients: Immediate and Sustained Effects Across Multiple Symptom Clusters

CONTEXT

Breast cancer survivors (BCS) face adverse physical and psychological symptoms, often co-occurring. Biologic and psychological factors may link symptoms within clusters, distinguishable by prevalence and/or severity. Few studies have examined the effects of behavioral interventions or treatment of symptom clusters.

OBJECTIVES

The aim of this study was to identify symptom clusters among post-treatment BCS and determine symptom cluster improvement following the Mindfulness-Based Stress Reduction for Breast Cancer (MBSR(BC)) program.

METHODS

Three hundred twenty-two Stage 0-III post-treatment BCS were randomly assigned to either a six-week MBSR(BC) program or usual care. Psychological (depression, anxiety, stress, and fear of recurrence), physical (fatigue, pain, sleep, and drowsiness), and cognitive symptoms and quality of life were assessed at baseline, six, and 12 weeks, along with demographic and clinical history data at baseline. A three-step analytic process included the error-accounting models of factor analysis and structural equation modeling.

RESULTS

Four symptom clusters emerged at baseline: pain, psychological, fatigue, and cognitive. From baseline to six weeks, the model demonstrated evidence of MBSR(BC) effectiveness in both the psychological (anxiety, depression, perceived stress and QOL, emotional well-being) (P = 0.007) and fatigue (fatigue, sleep, and drowsiness) (P < 0.001) clusters. Results between six and 12 weeks showed sustained effects, but further improvement was not observed.

CONCLUSION

Our results provide clinical effectiveness evidence that MBSR(BC) works to improve symptom clusters, particularly for psychological and fatigue symptom clusters, with the greatest improvement occurring during the six-week program with sustained effects for several weeks after MBSR(BC) training.

TRIAL REGISTRATION

Name and URL of Registry: ClinicalTrials.gov. Registration number: NCT01177124.

Symptom Cluster Research With Biomarkers and Genetics Using Latent Class Analysis

The purpose of this article is to provide an overview of latent class analysis (LCA) and examples from symptom cluster research that includes biomarkers and genetics. A review of LCA with genetics and biomarkers was conducted using Medline, Embase, PubMed, and Google Scholar. LCA is a robust latent variable model used to cluster categorical data and allows for the determination of empirically determined symptom clusters. Researchers should consider using LCA to link empirically determined symptom clusters to biomarkers and genetics to better understand the underlying etiology of symptom clusters. The full potential of LCA in symptom cluster research has not yet been realized because it has been used in limited populations, and researchers have explored limited biologic pathways.

A Concept Analysis of Personalized Health Care in Nursing

PURPOSE

The purpose of the study is to identify the concept of personalized health care in nursing and to address future direction in person-centered nursing care.

BACKGROUND

Personalized health care has attracted increased attention in the twenty-first century. As more and more preclinical studies are focusing on cost-effective and patient-centered care, there also has been an identified need for a personalized health care in nursing. Yet the term lacks clear definition and interests among healthcare professionals.

REVIEW METHODS

Rodgers' strategy for concept analysis was used in this analysis. A literature review for 1960-2014 was conducted for the following keywords: nursing care, personalized, and health care.

RESULTS

The analysis demonstrates that personalized health care in nursing is an intangible asset, including explicit attributes (interprofessional collaboration and individualized care approach) and implicit attributes (managing personal vulnerabilities: molecular-based health information and self-health-seeking behaviors). The result of this analysis provides a guide for further conceptual and empirical research and clinical practice in the personalized healthcare era.

CONCLUSION

This concept analysis represents an effort to describe the attributes of a concept regarded as representing an important feature of nursing care and to promote discourse that will enhance maturation of the concept into one that is established with clearly delineated characteristics.

Social withdrawal as a self-management behavior for migraine: implications for depression comorbidity among disadvantaged women

Disadvantaged women with migraine headaches have a particularly high risk of developing comorbid depression and often isolate themselves from others-or socially withdraw-to manage these disorders. Despite this, little is known about whether or how social withdrawal as a self-management strategy for episodic migraine might contribute to the more severe symptom burden in this group. In this article, we explore the potentially cumulative, deleterious effect that this strategy may have in modulating migraine-depression symptom severity in this population and argue that further theoretical and empirical work from nursing and complexity science perspectives is needed to better understand this phenomenon.