Perturbations in neuroinflammatory pathways are associated with paclitaxel-induced peripheral neuropathy in breast cancer survivors.

Paclitaxel is a common chemotherapy drug associated with the development of chronic paclitaxel-induced peripheral neuropathy (PIPN). PIPN is associated with neuroinflammatory mechanisms in pre-clinical studies. Here, we evaluated for differential gene expression (DGE) in peripheral blood between breast cancer survivors with and without PIPN and for neuroinflammatory (NI) related signaling pathways and whole-transcriptome profiles from other experiments. Pathway impact analysis identified 8 perturbed NI related pathways. Expression profile analysis found 15 experiments having similar whole-transcriptome profiles of DGE related to neuroinflammation and PIPN. These findings suggest that perturbations in pathways associated with neuroinflammation are found in cancer survivors with PIPN

Comparing machine learning clustering with latent class analysis on cancer symptoms' data

Symptom Cluster Research is a major topic in Cancer Symptom Science. In spite of the several statistical and clinical approaches in this domain, there is not a consensus on which method performs better. Identifying a generally accepted analytical method is important in order to be able to utilize and process all the available data. In this paper we report a secondary analysis on cancer symptom data, comparing the performance of five Machine Learning (ML) clustering algorithms in doing so. Based on how well they separate specific subsets of symptom measurements we select the best of them and proceed to compare its performance with the Latent Class Analysis (LCA) method. This analysis is a part of an ongoing study for identifying suitable Machine Learning algorithms to analyse and predict cancer symptoms in cancer treatment

The complexity of the relationship between chronic pain and quality of life: a study of the general Norwegian population

The aims of this paper were to evaluate the relationship between chronic pain and global quality of life (GQOL) and to explore the effect of possible confounders, mediators, and moderators such as selected demographic variables, chronic illnesses, stress-related symptoms, fatigue, and subjective health of the relationship between chronic pain and GQOL. We used a cross-sectional design, including 1,893 respondents from a population of 4,000 of Norwegian citizens, aged 19–81 years, who were randomly drawn from the National Register by Statistics Norway in November 2000 (48.5%). Pain duration of more than 3 months was categorized as having chronic pain. The Quality of Life Scale, the Fatigue Severity Scale, and the Posttraumatic Stress Scale were used as our main dependent and independent variables, respectively. A series of multiple regression analyses (GLM in SPSS) were applied using GQOL as the dependent variable, entering subsets of independent variables in a theoretically predefined sequence. In the total model, there was no significant relationship between chronic pain and GQOL. The model explained 39% of the variance in GQOL. For direct effect sizes, stress-related symptoms were related most strongly to GQOL, followed by subjective health, fatigue, chronic illnesses, and selected demographic variables. These findings support the assumption of a complex and indirect relationship between chronic pain and GQOL

The Relationships between Mood Disturbances and Pain, Hope, and Quality of Life in Hospitalized Cancer Patients with Pain on Regularly Scheduled Opioid Analgesic

Objective: The study purposes were to describe the percentage of patients in one of four mood groups (i.e., neither anxiety nor depression [NEITHER], only anxiety [ANX], only depression [DEP], both anxiety and depression [BOTH]) and to evaluate how differences in mood states are related to pain, hope, and quality of life (QOL). Methods: Oncology inpatients (n=225) completed Brief Pain Inventory, Herth Hope Index (HHI), and the European Organization for Research and Treatment of Cancer Core QOL Questionnaire-C30. Research nurses completed Symptom Severity Checklist, Karnofsky Performance Status score, and medical record reviews. Data were analyzed using x^2, Kruskal-Wallis, one-way analyses of variance (ANOVAs), and analyses of covariance (ANCOVA). Results: Thirty-two percent of patients were categorized in the NEITHER group, 12% in the ANX group, 12% in the DEP group, and 44% in the BOTH group. Younger patients and women were more likely to be in the BOTH group. While only minimal differences were found among the mood groups on pain intensity scores, patients in the NEITHER group in general, reported lower pain interference scores than those in the other three groups. Significant differences were found in HHI scores between the patients in the NEITHER group and the BOTH group. In addition, patients with both mood disorders reported significantly poorer QOL scores. Conclusions: Because 44% of the patients had both anxiety and depression, clinicians need to evaluate patients for the co-occurrence of these two symptoms, evaluate its impact on pain management, hope, and QOL, and develop appropriate interventions to manage these symptoms

Presence of symptom clusters in surgically treated patients with esophageal cancer

BACKGROUND: It is not known whether symptoms cluster together after esophageal cancer surgery or whether such symptom clusters are associated with survival in patients with esophageal cancer who are treated surgically. METHODS: Data from a prospective Swedish nationwide cohort study of surgically treated patients with esophageal cancer recruited between 2001 and 2005 were used. General and esophageal cancer-specific symptoms were assessed using the European Organization for Research and Treatment of Cancer QLQ-C30 quality of life questionnaire and the QLQ-OES18 module at 6 months after surgery. Associations between symptom clusters and survival were analyzed using Cox proportional hazards models, providing hazards ratios with 95% confidence intervals, adjusted for other known prognostic factors. RESULTS: Among 402 patients reporting symptoms 6 months after surgery, 3 symptom clusters were identified. The first symptom cluster (“fatigue/pain”) was characterized by symptoms of pain, fatigue, insomnia, and dyspnea and was present in 30% of patients. The second symptom cluster (“reflux/cough”) was characterized by symptoms of dry mouth, problems with taste, coughing, and reflux and was present in 27% of patients. The third symptom cluster (“eating difficulties”) was characterized by appetite loss, dysphagia, eating difficulties, and nausea/vomiting and was present in 28% of patients. The presence of the reflux/cough and eating difficulties symptom clusters was associated with a statistically significantly increased risk of mortality (adjusted hazards ratio, 1.43 [95% confidence interval, 1.08-1.89] and adjusted HR, 1.41 [95% confidence interval, 1.06-1.87], respectively). CONCLUSIONS: Symptoms experienced by surgically treated patients with esophageal cancer appear to cluster together, and the presence of these symptom clusters appears to have strong prognostic value.Vetenskapsrådet, Cancerfonden, Radiumhemmets forskningsfonderPublishe

Pre-operative self-efficacy education vs. usual care for patients undergoing joint replacement surgery: a pilot randomised controlled trial

Background Hip and knee replacement is a major surgical procedure performed worldwide. Despite 20 or so years of clinical research and care guidelines, the management of acute postoperative pain continues to be a concern. A growing number of self-efficacy strategies are being included in education programs for patients to enable then to have a central role in managing their illness and symptoms. Aims and Objectives The purpose of this pilot study was to evaluate the feasibility of testing an education intervention to improve self-efficacy in patients undergoing hip or knee replacement. Methods A single-blinded, parallel, pilot randomised control trial design was used. Ninety-one patients undergoing hip or knee replacement surgery were randomly assigned to an intervention or control group. Intervention group participants were given a DVD demonstrating self-efficacy activities to undertake four times before admission. Feasibility criteria related to recruitment, protocol adherence and missing data were assessed. Participants were assessed for pain, anxiety, self-efficacy and healthcare utilisation. Results In relation to recruitment, 55% of screened patients were eligible and of these 81% enrolled (n = 91). Exclusion following randomisation was 10% with missing data ranging from 0 to 20.7%. Nineteen per cent of participants were lost to follow up in the control group and 20% lost to follow up in DVD group. Protocol adherence to components of the intervention varied. Both groups were generally satisfied with pain management during hospitalisation, and there were no differences in groups on clinical outcome measures. Conclusions Preliminary evidence for the benefits of self-efficacy-based education for patients undergoing hip or knee replacement was identified. Additional findings included a need to strengthen the intervention and reducing the number of data collection points to improve the protocol, missing data and numbers lost to follow up before a larger trial is undertaken

Can patient-reported measurements of pain be used to improve cancer pain management? A systematic review and meta-analysis

PURPOSE: Cancer pain is a distressing and complex experience. It is feasible that the systematic collection and feedback of patient-reported outcome measurements (PROMs) relating to pain could enhance cancer pain management. We aimed to conduct a systematic review of interventions in which patient-reported pain data were collected and fed back to patients and/or professionals in order to improve cancer pain control. METHODS: MEDLINE, EMBASE and CINAHL databases were searched for randomised and non-randomised controlled trials in which patient-reported data were collected and fed back with the intention of improving pain management by adult patients or professionals. We conducted a narrative synthesis. We also conducted a meta-analysis of studies reporting pain intensity. RESULTS: 29 reports from 22 trials of 20 interventions were included. PROM measures were used to alert physicians to poorly controlled pain, to target pain education and to link treatment to management algorithms. Few interventions were underpinned by explicit behavioural theories. Interventions were inconsistently applied or infrequently led to changes in treatment. Narrative synthesis suggested that feedback of PROM data tended to increase discussions between patients and professionals about pain and/or symptoms overall. Meta-analysis of 12 studies showed a reduction in average pain intensity in intervention group participants compared with controls (mean difference=-0.59 (95% CI -0.87 to -0.30)). CONCLUSIONS: Interventions that assess and feedback cancer pain data to patients and/or professionals have so far led to modest reductions in cancer pain intensity. Suggestions are given to inform and enhance future PROM feedback interventions

Exploring Differences in Pain Beliefs Within and Between a Large Nonclinical (Workplace) Population and a Clinical (Chronic Low Back Pain) Population Using the Pain Beliefs Questionnaire

BACKGROUND: Beliefs, cognitions, and behaviors relating to pain can be associated with a range of negative outcomes. In patients, certain beliefs are associated with increased levels of pain and related disability. There are few data, however, showing the extent to which beliefs of patients differ from those of the general population. OBJECTIVE: This study explored pain beliefs in a large nonclinical population and a chronic low back pain (CLBP) sample using the Pain Beliefs Questionnaire (PBQ) to identify differences in scores and factor structures between and within the samples. DESIGN: This was a cross-sectional study. METHODS: The samples comprised patients attending a rehabilitation program and respondents to a workplace survey. Pain beliefs were assessed using the PBQ, which incorporates 2 scales: organic and psychological. Exploratory factor analysis was used to explore variations in factor structure within and between samples. The relationship between the 2 scales also was examined. RESULTS: Patients reported higher organic scores and lower psychological scores than the nonclinical sample. Within the nonclinical sample, those who reported frequent pain scored higher on the organic scale than those who did not. Factor analysis showed variations in relation to the presence of pain. The relationship between scales was stronger in those not reporting frequent pain. LIMITATIONS: This was a cross-sectional study; therefore, no causal inferences can be made. CONCLUSIONS: Patients experiencing CLBP adopt a more biomedical perspective on pain than nonpatients. The presence of pain is also associated with increased biomedical thinking in a nonclinical sample. However, the impact is not only on the strength of beliefs, but also on the relationship between elements of belief and the underlying belief structur