Should We Use COMM (Current Opioid Misuse Measure) to Screen for Opioid Abuse in Patients With Cancer Pain?

BACKGROUND: Growing concerns about opioid use disorder (OUD) and the resulting decrease in opioid availability for patients with cancer pain highlight the need for reliable screening tools to identify the subset of patients at increased risk for aberrant opioid use. Our study examines the utility of Current Opioid Misuse Measure (COMM) recommended by the NCCN Clinical Practice Guidelines in Oncology for Adult Cancer Pain. PATIENTS AND METHODS: We analyzed prospectively collected patient-reported outcomes of 444 consecutive patients with cancer seen in pain clinics of a cancer center at 2 time points within 100 days. The relationship of COMM to other OUD screening tools, pain, opioid doses, patient demographics, and mortality was examined using univariate and multivariable logistic regression. We also examined individual items of COMM for face validity. RESULTS: Among 444 patients who completed pain surveys at 2 time points, 157 (35.4%) did not complete COMM surveys. Using a COMM cutoff of ≥13, a total of 84 patients (29.3%; 84/287) scored positive for aberrant drug use. As patients remained on opioids for 49 to 100 days, the likelihood of improving COMM score (turning from positive to negative) was 6.1 times greater than the reverse. The number of patients with COMM ≥13 was 3.8 times higher than the number of patients with CPT diagnostic codes for OUD, 5.3 times higher than those with a positive urine drug screening, and 21 times higher than those with a positive CAGE (Cut Down, Annoyed, Guilty, Eye-Opener Questionnaire) score. COMM ≥13 was not associated with pain relief response (worst pain intensity score ≥2 points on the Brief Pain Inventory), opioid doses, gender, or age. Contrary to the intended use of COMM to identify aberrant opioid use, COMM ≥13 predicted mortality: patients with COMM ≥13 were 1.9 times more likely to die within 12 months. CONCLUSIONS: Our study found that using COMM in a cancer population may significantly overestimate the risk of opioid misuse. Using COMM without modifications can create an additional barrier to cancer pain management, such as limiting appropriate opioid use.

Pre-Diagnosis Dietary Patterns and Risk of Multiple Myeloma in the NIH-AARP Diet and Health Study.

Background: Despite patient interest in knowing whether diet is linked to multiple myeloma (MM), there is limited research on dietary patterns and MM risk. Two studies have assessed this risk, albeit with a small number of MM cases. The EPIC-Oxford cohort and Oxford Vegetarian study (65 MM cases) showed that fish eaters, vegetarians and vegans had significantly reduced MM risk compared to meat eaters. The Nurses' Health Study and Health Professionals Follow-up Study (478 MM cases) showed a significantly increased MM risk in men with Empirical Dietary Inflammatory Pattern. Methods: The NIH-AARP Diet and Health study is a prospective cohort of 567,169 persons who completed a food frequency questionnaire in 1995-1996 and were followed until December 2011. Healthy Eating Index-2015 (HEI-2015), Healthy Diet Score (HDS), alternate Mediterranean Diet (aMED) and healthful Plant-based Diet Index (hPDI) scores were calculated using a priori defined methods and grouped into quartiles, with higher scores reflecting healthier eating patterns. We prospectively evaluated the association between pre-diagnosis dietary patterns and MM incidence in this cohort. Hazard ratios (HR) and 95% confidence intervals (95%CI) were estimated using multivariate Cox proportional hazards models adjusted for age at study entry, sex, race, body mass index, education, and total energy intake (by residual method). Sensitivity analysis was conducted to assess reverse causality by excluding MM cases diagnosed within one year of follow-up. Results: Among 392,589 participants (after exclusions), a total of 1,366 MM cases (59% males; 92% non-Hispanic whites) were identified during the follow-up period. Analysis revealed a significant association between hPDI scores and reduced MM risk (highest vs lowest quartile, HR 0.85; 95%CI 0.73-1.0; p=0.043) (Table). In sensitivity analysis (1,302 MM cases), the association was no longer significant (HR 0.87; 95%CI 0.74-1.03; p 0.09) but trended in the same direction. This may be due to small sample size, given MM is a rare disease. HEI-2015, HDS and aMED scores were not associated with MM risk. Conclusions: A healthful plant-based diet was associated with reduced MM risk in the NIH-AARP cohort. These results will help oncologists and patients make informed choices about their diet. To our knowledge, this is the largest epidemiologic study to date assessing pre-diagnosis dietary patterns and MM risk.