Bornstein, Shari L.

Abstract Introduction/Objective: To assess the clinical utility of the FM/a® chemokine-cytokine assay in diagnosing fibromyalgia at an academic medical center. Methods: We performed a cross-sectional study on 50 patients diagnosed with fibromyalgia at a specialty fibromyalgia clinic between January 1, 2021 through July 31, 2021. Patients completed questionnaires and provided a venous blood sample sent to EpicGenetics, to complete the FM/a® test. Demographic, symptom, and historical data was obtained from chart review. Statistical analysis was performed. Results: Of 50 patients with a clinical diagnosis of fibromyalgia, the FM/a® test was positive in 45 (90%). Performance of the FM/a® test compared to the 2016 ACR criteria yielded an odds ratio of 3.5 with sensitivity of 0.91, specificity of 0.25. Univariate regression demonstrated an area under the curve (AUC) of 0.7337, which improved to 0.89 when adjusted for age, gender, and race. When compared to the 1990 ACR criteria, a positive FM/a® test had an odds ratio of 2.33 with sensitivity 0.92 and specificity 0.17. Univariate regression analysis demonstrated an AUC of 0.571, when adjusted for age, gender and race, AUC was similar at 0.585. Conclusion: The FM/a® test performed well overall, though inferiorly compared to the 1990 and 2016 ACR diagnostic criteria. When adjusted for age, gender, and race the test performed almost equivalently to the 2016 ACR criteria. The FM/a® test may be useful in general clinical practices to differentiate patients who are more likely to have FM.

Objectives: The purpose of the present study was to assess and describe the severity of symptoms reported by Covid-19 positive patients who vaped (smoked e-cigarettes) when compared to those who did not vape or smoke at the time of the diagnosis of Covid-19. Methods: Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between March 1, 2020 and February 28, 2021; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Among the 1734 eligible patients, 289 patients reported current vaping. The cohort of vapers (N = 289) was age and gender matched to 1445 covid-19 positive patients who did not vape. The data analyzed included: date of birth, gender, ethnicity, race, marital status, as well as lifestyle history such as vaping and smoking and reported covid-19 symptoms experienced. Results: A logistic regression analysis was performed separately for each symptom using generalized estimating equations (GEE) with robust variance estimates in order to account for the 1:5 age, sex, and race matched set study design. Patients who vaped and developed Covid-19 infection were more likely to have chest pain or tightness (16% vs 10%, vapers vs non vapers, P = .005), chills (25% vs 19%, vapers vs non vapers, P = .0016), myalgia (39% vs 32%, vapers vs non vapers, P = .004), headaches (49% vs 41% vapers vs non vapers, P = .026), anosmia/dysgeusia (37% vs 30%, vapers vs non vapers, P = .009), nausea/vomiting/abdominal pain (16% vs 10%, vapers vs non vapers, P = .003), diarrhea (16% vs 10%, vapers vs non vapers, P = .004), and non-severe light-headedness (16% vs 9%, vapers vs non vapers, P < .001). Conclusion: Vapers experience higher frequency of covid-19 related symptoms when compared with age and gender matched non-vapers. Further work should examine the impact vaping has on post-covid symptom experience.