Phenotyping of chronic pain in breast cancer survivors: an original study using the cancer pain phenotyping (CANPPHE) Network multidisciplinary international guidelines.

PURPOSE: The primary aim of this cross-sectional study is to examine the prevalence of pain phenotypes in breast cancer survivors (BCS). A secondary aim entails examining whether health related quality of life differs between the main pain phenotypes in BCS. METHODS: BCS who experienced chronic pain were asked to complete the numeric pain rating scale for pain, Margolis pain diagram, and short form 36 (SF-36). Following administration of questionnaires and quantitative sensory examinations were applied. To determine the prevalence of the predominant type of pain, a recently proposed classification system by the Cancer Pain Phenotyping (CANPPHE) Network was used. RESULTS: Of the 86 female participants, 19 (22.09%) had dominant neuropathic pain, 18 (20.93%) had dominant nociceptive pain and 14 (16.28%) had dominant nociplastic pain. 35 participants (40.70%) were classified as having mixed pain. One-way ANOVA revealed a significant difference between the four pain groups for the SF-36 general health (F = 3.205, p = 0.027), social functioning (F = 4.093, p = 0.009), and pain (F = 3.603, p = 0.017) subscale scores. CONCLUSION: This study found that pain in BCS was mostly of mixed phenotype, followed by predominantly neuropathic and nociplastic pain. Furthermore, it was found that, compared to BCS with predominant neuropathic and nociceptive pain, BCS with predominant nociplastic pain have lower health related quality of life in the areas of bodily pain and social functioning.

Study of the relationship between psychoactive substance use and pain in cancer patients and cancer survivors: A French nationwide cross-sectional study.

Pain is a prevalent symptom among cancer patients and survivors. Psychoactive substance use (PSU) is associated with both the presence and severity of pain. However, little is known about this association in the context of cancer. The primary objective was to compare the prevalence of PSU and its relationship with pain during and after cancer. PSU was defined as the use of nonmedication substances (alcohol, tobacco, e-cigarettes, cannabidiol, and cannabis), with frequency categorized as at least yearly, monthly, weekly, or daily. Secondary objectives aimed to explore the relationships between PSU and pain characteristics, health-related quality of life, anxiety, depression, deprivation, and individual characteristics. Among the 1041 individuals included, pain prevalence was 44.7% (95% confidence interval [CI] 41.6%-47.8%). The overall prevalence of PSU at least monthly was 67.0% (95% CI 64.0%-69.8%). The proportions of chronic and neuropathic pains were higher for at least monthly use of cannabidiol compared to nonuse (70.0% vs. 39.3% and 55.7% vs. 28.1%, p < .001). In multivariate analysis, the monthly uses of tobacco and cannabidiol were higher in painful individuals than in nonpainful ones (odds ratio: 2.85 [95% CI 1.22-6.64] and 3.76 [95% CI 1.13-12.44], p < .05). From the point of view of the patient care, the study underscores the need for physicians to prioritize smoking cessation and pay attention to the use of cannabidiol during and after cancer.

Current cannabis use and pain management among US cancer patients.

BACKGROUND: National studies reporting the prevalence of cannabis use have focused on individuals with a history of cancer without distinction by their treatment status, which can impact symptom burden. While pain is a primary motivation to use cannabis in cancer, the magnitude of its association with cannabis use remains understudied. METHODS: We examined cannabis use and pain management among 5523 respondents of the Behavioral Risk Factor Surveillance System with a cancer history. Survey-weighted prevalence proportions of respondents' cannabis use are reported, stratified on cancer treatment status. Regression models estimated odds ratios (ORs) and 95% confidence intervals (CIs) of cancer-related pain and cannabis use. RESULTS: Cannabis use was slightly more prevalent in those undergoing active treatment relative to those who were not undergoing active treatment (9.3% vs. 6.2%; P=0.05). Those under active treatment were more likely to use cannabis medicinally (71.6% vs. 50.0%; P=0.03). Relative to those without cancer-related pain, persons with pain under medical control (OR 2.1, 95% CI, 1.4-3.2) or uncontrolled pain were twice as likely to use cannabis (OR 2.0, 95% CI, 1.1-3.5). CONCLUSIONS: Use of cannabis among cancer patients may be related to their treatment and is positively associated with cancer-related pain. Future research should investigate the associations of cannabis use, symptom burden, and treatment regimens across the treatment spectrum to facilitate interventions.

Cognitive function and its associated factors among patients with cancer pain: a multicentre cross-sectional study in China.

OBJECTIVE: This research aimed to assess the levels of cognitive function and its contributing factors among individuals experiencing cancer pain (CP) in mainland China. DESIGN: A descriptive, cross-sectional study. SETTING: The investigation was undertaken within three tertiary oncology hospitals. PARTICIPANTS: We included 220 hospitalised individuals who reported experiencing cancer-related pain and consented to complete the research questionnaires. OUTCOME MEASURES: The collected data encompassed sociodemographic and clinical variables, augmented by results from validated questionnaires. Cognitive impairment (CI) was evaluated using the Functional Assessment of Cancer Therapy-Cognitive (FACT-Cog) scale, with scores ranging from 0 to 148. Sleep quality, depression and anxiety were assessed through the Pittsburgh Sleep Quality Index, the Patient Health Questionnaire-9 and the Generalised Anxiety Disorder-7, respectively. A binary logistic regression model was used to identify factors associated with CI in individuals with CP. RESULTS: Of the 225 individuals approached, 220 (97.8%) participated in the study. The mean FACT-Cog score for those with CP was 101.29 (SD=25.24; range=25-148). The prevalence of CI among these individuals was 35.90%. Sleep quality was rated below medium in 45% of participants with CP. More than moderate pain was reported by 28.2%, with 64.6% experiencing depression and 38.6% experiencing anxiety. Increased odds of developing CI were observed in those with CP (OR 1.422, 95% CI 1.129 to 1.841), depression (OR 1.119, 95% CI 1.029 to 1.2117), anxiety (OR 1.107, 95% CI 1.005 to 1.220), advancing age (OR 1.042, 95% CI 1.013 to 1.073), poor sleep quality (OR 1.126, 95% CI 1.013 to 1.252) and a history of smoking (OR 3.811, 95% CI 1.668 to 8.707). CONCLUSIONS: CI associated with CP is notably prevalent in China. Those older, with a smoking history, inadequate sleep, more severe pain, depression and anxiety, have a heightened risk of CI. Consequently, interventions need to be personalised, addressing these key determinants.