Search

Objectives: The revised Fibromyalgia Impact Questionnaire (FIQR) is a widely used fibromyalgia severity assessment tool that was introduced in 2009 prior to the publication of the American College of Rheumatology (ACR) preliminary fibromyalgia criteria in 2010 and its revision in 2016. In 2020, the modified Fibromyalgia Assessment Scale (FASmod) was published. The Polysymptomatic Distress scale (PSD) of the fibromyalgia criteria and FASmod include assessments of pain location severity and can be used for diagnosis as well as in non-fibromyalgia patients. The aim of this study is to provide equations for the conversion of the FIQR scores to PSD and FASmod as an aid to understanding and sharing fibromyalgia severity information., Methods: 3089 patients with fibromyalgia, diagnosed according to the ACR 2010/2011 criteria and belonging to the Italian Fibromyalgia Registry completed FIQR, FASmod and PSD questionnaires. Pearson's correlation coefficient was used to test the correlations between indices. The least square regression approach was used to produce predictive equations for each scale based on the remaining scales., Results: FIQR was correlated with PSD (r=0.714) and FASmod (r=0.801); PSD and FASmod showed the highest correlation (r=0.897), expected since they assess the same constructs. Predictive equations showing a linear model were effective in producing mean cohort values, but individual predictions deviated substantially, precluding prediction in the individual patient., Conclusions: Conversion equations that allow for interconversion of multiple scales fibromyalgia severity assessment scales are produced. These can be useful in obtaining mean values for cohorts but are not accurate enough for use in individual patients.

Objective: Despite data showing that fibromyalgia can be represented as a dimensional disorder, almost all assessments treat fibromyalgia as a dichotomous categorial disorder; and research shows that agreement between community diagnosis of fibromyalgia and fibromyalgia criteria is poor. We investigated the validity of FM as a discrete disorder by exploring the relationships of categorical fibromyalgia, the polysymptomatic distress (PSD) scale, and clinical variables., Methods: In a databank of 33,972 rheumatic disease patients, we studied the categorical diagnosis of fibromyalgia, the PSD scale separately and divided into severity groups, measures of widespread pain, as well as somatic syndrome questionnaires like the Patient Health Questionnaire-15 (PHQ-15), and clinical pain, global, HAQ disability and quality of life scales (EQ-5D)., Results: Clinical and demographic variables became more abnormal with increasing PSD score groups, indicating substantial increase in symptoms and pain. The changes across PSD categories were linear and large. When we compared FM- (PSD 8-11) with FM+ (PSD 12-18) patients we found considerable overlap in scores for pain, HAQ disability, patient global, PHQ-15, psychological status, and other variables. Somatic symptom scores were highly correlated with PSD (r=0.718). There was no evidence of a differential pain effect that was present in FM+ but not FM- subjects., Conclusion: Fibromyalgia is more accurately considered a dimensional than a dichotomous disorder. There is vast variability among fibromyalgia positive and negative cases that is governed by the strong and linear relationships between the dimensional PSD scale and clinical variables. The PSD scale provides measurements of the fibromyalgia dimension that support and enlighten categorical fibromyalgia and are an effective tool to measure clinical status and changes. Whatever the mechanism of the pain and symptom increase in fibromyalgia, it appears to operate over the entire fibromyalgia symptom dimension, not just in those with categorical fibromyalgia., Competing Interests: Declaration of Competing Interest No financial support or conflict of interest, (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Objective: Despite advances in treatments and outcomes among patients with rheumatic diseases, there is an unmet need in pain management. Cannabis has emerged as a potential opioid-sparing alternative, with arthritic pain as a commonly cited reason for medicinal cannabis use. However, little is known, and we set out to understand patterns of cannabis use in a US-wide rheumatic disease population., Methods: The study included participants in FORWARD, The National Databank for Rheumatic Diseases. Participants were asked in 2014 and 2019 about their past and current cannabis use. Demographic characteristics, patient-reported outcomes, medications, comorbidities, and diagnoses were compared between cannabis users and non-users with t-tests, chi-square tests, logistic regression, and geographic assessment., Results: Among 11,006 respondents, cannabis use increased from 6.3% in 2014 to 18.4% in 2019, with the greatest prevalence of use in states where cannabis use was legalized. Most users (74% and 62% in 2014 and 2019, respectively) reported that cannabis was effective in the relief of arthritis symptoms. Cannabis users were more likely to be taking weak opioids (odds ratio 1.2 [95% confidence interval 1.0, 1.5], P = 0.03), to have a history of smoking tobacco (odds ratio 1.7 [95% confidence interval 1.5, 2.1], P < 0.001), and had worse measures on all assessed patient-reported outcomes., Conclusion: Reported cannabis use in this cohort increased significantly between 2014 and 2019. Characteristics of users suggest that those who try cannabis are feeling worse symptomatically, and their pain management needs may not be adequately addressed by other therapies. The association between cannabis, opioids, and patient-reported outcomes highlight areas for future work., (© 2021 American College of Rheumatology.)

Background: Outbreaks of healthcare-associated mucormycosis (HCM), a life-threatening fungal infection, have been attributed to multiple sources, including contaminated healthcare linens. In 2020, staff at Hospital A in Arkansas alerted public health officials of a potential HCM outbreak., Methods: We collected data on patients at Hospital A who had invasive mucormycosis during January 2017-June 2021 and calculated annual incidence of HCM (defined as mucormycosis diagnosed within ≥7 days after hospital admission). We performed targeted environmental assessments, including linen sampling at the hospital, to identify potential sources of infection., Results: During the outbreak period (June 2019-June 2021), 16 patients had HCM; clinical features were similar between HCM patients and non-HCM patients. Hospital-wide HCM incidence (per 100 000 patient-days) increased from 0 in 2018 to 3 in 2019 and 6 in 2020. For the 16 HCM patients, the most common underlying medical conditions were hematologic malignancy (56%) and recent traumatic injury (38%); 38% of HCM patients died in-hospital. Healthcare-associated mucormycosis cases were not epidemiologically linked by common procedures, products, units, or rooms. At Hospital A and its contracted offsite laundry provider, suboptimal handling of laundered linens and inadequate environmental controls to prevent mucormycete contamination were observed. We detected Rhizopus on 9 (9%) of 98 linens sampled at the hospital, including on linens that had just arrived from the laundry facility., Conclusions: We describe the largest, single-center, HCM outbreak reported to date. Our findings underscore the importance of hospital-based monitoring for HCM and increased attention to the safe handling of laundered linens., Competing Interests: Potential conflicts of interest. All authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest., (Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022.)