Christina Baggott

Identification of patient subgroups and risk factors for persistent breast pain following breast cancer surgery.

UNLABELLED Study purposes were to determine the prevalence of persistent pain in the breast; characterize distinct persistent pain classes using growth mixture modeling; and evaluate for differences among these pain classes in demographic, preoperative, intraoperative, and postoperative characteristics. In addition, differences in the severity of common symptoms and quality of life outcomes measured prior to surgery, among the pain classes, were evaluated. Patients (n = 398) were recruited prior to surgery and followed for 6 months. Using growth mixture modeling, patients were classified into no (31.7%), mild (43.4%), moderate (13.3%), and severe (11.6%) pain groups based on ratings of worst breast pain. Differences in a number of demographic, preoperative, intraoperative, and postoperative characteristics differentiated among the pain classes. In addition, patients in the moderate and severe pain classes reported higher preoperative levels of depression, anxiety, and sleep disturbance than the no pain class. Findings suggest that approximately 25% of women experience significant and persistent levels of breast pain in the first 6 months following breast cancer surgery. PERSPECTIVE Persistent pain is a significant problem for 25% of women following surgery for breast cancer. Severe breast pain is associated with clinically meaningful decrements in functional status and quality of life.

Changes in Children’s Reports of Symptom Occurrence and Severity During a Course of Myelosuppressive Chemotherapy

The purposes of this study in children who underwent a cycle of myelosuppressive chemotherapy were to describe changes in symptom occurrence and severity during the chemotherapy cycle. Patients (N = 66) 10 to 18 years of age completed the Memorial Symptom Assessment Scale for 10- to 18-year-olds (MSAS 10-18) at the start of a chemotherapy cycle (T1) and weekly for the next 2 weeks (T2 and T3). More than 30% of children reported 10 or more symptoms at all 3 time points. Symptom occurrence trajectories were tested with multilevel logistic regression. In all, 6 symptoms (ie, fatigue, sadness, irritability, worrying, weight loss, sweating) showed a decreasing linear trend. Significant quadratic patterns of change were found for feeling drowsy, nausea, and vomiting. Changes in symptom severity over time were evaluated with multilevel negative binomial regression. No significant differences over time were found in any of the symptom severity scores on the MSAS. Children experienced a high number of symptoms at the initiation of a chemotherapy cycle that persisted over the subsequent 2 weeks.

Associations between pro- and anti-inflammatory cytokine genes and breast pain in women prior to breast cancer surgery.

UNLABELLED The purposes of this study were to determine the occurrence rate for preoperative breast pain; describe the characteristics of this pain; evaluate for differences in demographic and clinical characteristics; and evaluate for variations in pro- and anti-inflammatory cytokine genes between women who did and did not report pain. Patients (n = 398) were recruited prior to surgery and completed self-report questionnaires on a number of pain characteristics. Genotyping was done using a custom genotyping array. Women (28.2%) who reported breast pain were significantly younger (P < .001); more likely to be nonwhite (P = .032); reported significantly lower Karnofsky Performance Status scores (P = .008); were less likely to be postmenopausal (P = .012); and had undergone significantly more biopsies (P = .006). Carriers of the minor allele for a single nucleotide polymorphism in interleukin (IL)1-receptor 1 (IL1R1) (rs2110726) were less likely to report breast pain prior to surgery (P = .007). Carriers of the minor allele for a single nucleotide polymorphism in IL13 (rs1295686) were more likely to report breast pain prior to surgery (P = .019). Findings suggest that breast pain occurs in over a quarter of women who are about to undergo breast cancer surgery. Based on phenotypic and genotypic characteristics found, inflammatory mechanisms contribute to preoperative breast pain. PERSPECTIVE In women with breast cancer, preoperative pain may be associated with increases in inflammatory responses associated with an increased number of biopsies. In addition, differences in cytokine genes may contribute to this preoperative breast pain.

Multiple Symptoms in Pediatric Oncology Patients: A Systematic Review

Clinical experience suggests that children with cancer experience multiple symptoms as a result of their disease and/ or its treatment. These symptoms may have a negative impact on children’s ability to function and on their quality of life. No systematic review has summarized the findings from studies that assessed multiple symptoms in these patients. The purposes of this article are to summarize the findings from the studies of multiple symptoms in pediatric oncology patients and to describe directions for future research. Although there has been a recent increase in the studies of the multiple symptoms in pediatric cancer patients, only 9 studies were found that met the inclusion criteria for this review. Thus, little is known about the relationships between demographic and clinical characteristics and the occurrence of multiple symptoms. Additional research is warranted on the prevalence and impact of multiple symptoms, particularly among homogeneous samples of patients. Future directions for symptom studies in pediatric oncology include symptom cluster research and the search for biological bases for the untoward effects of cancer treatment.

Associations Between Cytokine Genes and a Symptom Cluster of Pain, Fatigue, Sleep Disturbance, and Depression in Patients Prior to Breast Cancer Surgery:

Pain, fatigue, sleep disturbance, and depression are common and frequently co-occurring symptoms in oncology patients. This symptom cluster is often attributed to the release of proinflammatory cytokines. The purposes of this study were to determine whether distinct latent classes of patients with breast cancer (n = 398) could be identified based on their experience with this symptom cluster, whether patients in these latent classes differed on demographic and clinical characteristics and whether variations in cytokine genes were associated with latent class membership. Three distinct latent classes were identified: “all low” (61.0%), “low pain and high fatigue” (31.6%), “all high” (7.1%). Compared to patients in the all low class, patients in the all high class were significantly younger, had less education, were more likely to be non-White, had a lower annual income, were more likely to live alone, had a lower functional status, had a higher comorbidity score, and had more advanced disease. Significant associations were found between interleukin 6 (IL6) rs2069845, IL13 rs1295686, and tumor necrosis factor alpha rs18800610 and latent class membership. Findings suggest that variations in pro- and anti-inflammatory cytokine genes are associated with this symptom cluster in breast cancer patients.

Symptoms and symptom clusters in adolescents receiving cancer treatment: A review of the literature

OBJECTIVES The purpose of this literature review is to document what is known about the most common symptoms and symptom clusters in adolescents receiving cancer treatment in order to advance the science of symptom management for this unique group of patients. DESIGN This review identified primary research reports focused on cancer-related symptoms in adolescents using methodology that included objective measurement of the symptom(s) or self-report from the adolescents. DATA SOURCES We searched the literature using Medline, PubMed, and CINAHL from 2000 to 2011. REVIEW METHODS The first step of the review was to synthesize evidence to identify the most common symptoms experienced by adolescents during the cancer treatment period. The second step located findings from additional research about these specific symptoms individually or as clusters. RESULTS From 12 reports, we identified 6 common symptoms in adolescents during the treatment period: fatigue, sleep-wake disturbances, nausea/eating problems, pain, mood disturbances, and appearance changes. Findings from 51 studies provided a foundation of evidence about symptom trajectories, contributing factors, and associations between symptoms. CONCLUSIONS This review of the literature identified a relatively small body of research related to symptoms in adolescents during the cancer treatment period. Most of the studies were of low quality evidence and described individual symptoms rather than associations or clusters. A few longitudinal studies described symptoms during a cycle of chemotherapy and across months of chemotherapy treatment. With the exception of nausea, no studies tested any interventions to relieve these common symptoms in adolescents. To ensure that adolescents complete the challenging period of cancer treatment and emerge capable of achieving the developmental milestones of young adulthood, important work remains to be done in this field of symptom management.

Identification of patient subgroups and risk factors for persistent arm/shoulder pain following breast cancer surgery.

PURPOSE In this prospective, longitudinal study, we extend our findings on persistent breast pain in patients (n = 398) following breast cancer surgery and evaluate the prevalence and characteristics of persistent pain in the arm/shoulder. In addition, differences in the severity of common symptoms and quality of life outcomes measured prior to surgery, among the arm pain classes, were evaluated. METHODS AND SAMPLE Patients were recruited from Breast Care Centers located in a Comprehensive Cancer Center, two public hospitals, and four community practices. Patients were assessed prior to and monthly for six months following breast cancer surgery. RESULTS Using growth mixture modeling, patients were classified into no (41.6%), mild (23.6%), and moderate (34.8%) arm pain classes based on ratings of worst arm/shoulder pain. Compared to the no pain class, patients in the moderate pain class were significantly younger, had a higher body mass index, and were more likely to report preoperative breast pain and swelling in the affected breast. In addition, patients in the moderate pain class reported higher levels of depression, anxiety, and sleep disturbance than the no pain class. CONCLUSIONS Findings suggest that approximately 35% of women experience persistent levels of moderate arm/shoulder pain in the first six months following breast cancer surgery. Moderate arm/shoulder pain is associated with clinically meaningful decrements in functional status and quality of life.

Evidence of associations between cytokine genes and subjective reports of sleep disturbance in oncology patients and their family caregivers

The purposes of this study were to identify distinct latent classes of individuals based on subjective reports of sleep disturbance; to examine differences in demographic, clinical, and symptom characteristics between the latent classes; and to evaluate for variations in pro- and anti-inflammatory cytokine genes between the latent classes. Among 167 oncology outpatients with breast, prostate, lung, or brain cancer and 85 of their FCs, growth mixture modeling (GMM) was used to identify latent classes of individuals based on General Sleep Disturbance Scale (GSDS) obtained prior to, during, and for four months following completion of radiation therapy. Single nucleotide polymorphisms (SNPs) and haplotypes in candidate cytokine genes were interrogated for differences between the two latent classes. Multiple logistic regression was used to assess the effect of phenotypic and genotypic characteristics on GSDS group membership. Two latent classes were identified: lower sleep disturbance (88.5%) and higher sleep disturbance (11.5%). Participants who were younger and had a lower Karnofsky Performance status score were more likely to be in the higher sleep disturbance class. Variation in two cytokine genes (i.e., IL6, NFKB) predicted latent class membership. Evidence was found for latent classes with distinct sleep disturbance trajectories. Unique genetic markers in cytokine genes may partially explain the interindividual heterogeneity characterizing these trajectories.

Cytokine Gene Variation is Associated with Depressive Symptom Trajectories in Oncology Patients and Family Caregivers

PURPOSE Depressive symptoms are common in cancer patients and their family caregivers (FCs). While these symptoms are characterized by substantial interindividual variability, the factors that predict this variability remain largely unknown. This study sought to confirm latent classes of oncology patients and FCs with distinct depressive symptom trajectories and to examine differences in phenotypic and genotypic characteristics among these classes. METHOD Among 167 oncology outpatients with breast, prostate, lung, or brain cancer and 85 of their FCs, growth mixture modeling (GMM) was used to identify latent classes of individuals based on Center for Epidemiological Studies-Depression (CES-D) scores obtained prior to, during, and for four months following completion of radiation therapy. One hundred four single nucleotide polymorphisms (SNPs) and haplotypes in 15 candidate cytokine genes were interrogated for differences between the two largest latent classes. Multivariate logistic regression analyses assessed effects of phenotypic and genotypic characteristics on class membership. RESULTS Four latent classes were confirmed: Resilient (56.3%), Subsyndromal (32.5%), Delayed (5.2%), and Peak (6.0%). Participants who were younger, female, non-white, and who reported higher baseline trait and state anxiety were more likely to be in the Subsyndromal, Delayed, or Peak groups. Variation in three cytokine genes (i.e., interleukin 1 receptor 2 [IL1R2], IL10, tumor necrosis factor alpha [TNFA]), age, and performance status predicted membership in the Resilient versus Subsyndromal classes. CONCLUSIONS Findings confirm the four latent classes of depressive symptom trajectories previously identified in a sample of breast cancer patients. Variations in cytokine genes may influence variability in depressive symptom trajectories.

Symptom Cluster Analyses Based on Symptom Occurrence and Severity Ratings Among Pediatric Oncology Patients During Myelosuppressive Chemotherapy

Background:Symptom cluster research is an emerging field in symptom management. The ability to identify symptom clusters that are specific to pediatric oncology patients may lead to improved understanding of symptoms’ underlying mechanisms among patients of all ages. Objective:The purpose of this study, in a sample of children and adolescents with cancer who underwent a cycle of myelosuppressive chemotherapy, was to compare the number and types of symptom clusters identified using patients’ ratings of symptom occurrence and symptom severity. Methods:Children and adolescents with cancer (10–18 years of age; N = 131) completed the Memorial Symptom Assessment Scale 10–18 on the day they started a cycle of myelosuppressive chemotherapy, using a 1-week recall of experiences. Symptom data based on occurrence and severity ratings were examined using exploratory factor analysis. The defined measurement model suggested by the best exploratory factor analysis model was then examined with a latent variable analysis. Results:Three clusters were identified when symptom occurrence ratings were evaluated, which were classified as a chemotherapy sequela cluster, mood disturbance cluster, and a neuropsychological discomfort cluster. Analysis of symptom severity ratings yielded similar cluster configurations. Conclusions:Cluster configurations remained relatively stable between symptom occurrence and severity ratings. The evaluation of patients at a common point in the chemotherapy cycle may have contributed to these findings. Implications for Practice:Additional uniformity in symptom clusters investigations is needed to allow appropriate comparisons among studies. The dissemination of symptom cluster research methodology through publication and presentation may promote uniformity in this field.