The Association of Current Tobacco Status With Pain and Symptom Severity in Fibromyalgia Patients

Objective: To describe current tobacco use among patients with newly confirmed fibromyalgia and evaluate the association between tobacco use status and severity of reported pain and other fibromyalgia symptoms. Patients and Methods: Participants in this study were adult patients (N=1068) with fibromyalgia who met American College of Rheumatology 2010/2011 clinical criteria for fibromyalgia at the time of initial presentation to a Midwest fibromyalgia clinic (June 1, 2018, through May 31, 2019). Multiple linear regression analyses were performed to assess the association of tobacco use status with the Widespread Pain Index (WPI) and Symptom Severity Scale (SSS) scores. Covariates included in these analyses included age, sex, body mass index, depression, opioid medication use, and use of fibromyalgia-specific pharmacotherapy. Results: The patients were largely women (87.0%; n=929), white (87.9%; n=939), and with an average ± SD age of 46.6±13.9 years. The WPI and SSS scores were significantly greater in current tobacco users compared with never tobacco users (WPI effect estimate [EE] = 1.03; 95% CI, 0.30 to 1.76; type III P=.020; SSS EE = 0.47; 95% CI, 0.11 to 0.84; type III P=.036). The WPI score was negatively associated with age (EE = −0.02 per year; 95% CI, −0.03 to −0.001 per year; P=.037) and no use of opioid medication (EE = −1.08; 95% CI, −1.59 to −0.57; P<.001) while positively associated with higher body mass index (EE = 0.03 per 1 kg/m2; 95% CI, 0.001 to 0.06 per kg/m2; P=.04) and higher Patient Health Questionnaire-9 score (EE = 0.12; 95% CI, 0.08 to 0.16; P<.001). Conclusion: The results of our study suggest that tobacco use is associated with greater pain and other symptom severity in patients with fibromyalgia. These findings have important clinical and research implications for patients with fibromyalgia who use tobacco and who may benefit from early identification and timely implementation of tobacco cessation treatment to decrease pain and improve overall quality of life

Association of Neutralizing Antispike Monoclonal Antibody Treatment With Coronavirus Disease 2019 Hospitalization and Assessment of the Monoclonal Antibody Screening Score

Objective: To test the hypothesis that the Monoclonal Antibody Screening Score performs consistently better in identifying the need for monoclonal antibody infusion throughout each “wave” of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant predominance during the coronavirus disease 2019 (COVID-19) pandemic and that the infusion of contemporary monoclonal antibody treatments is associated with a lower risk of hospitalization. Patients and Methods: In this retrospective cohort study, we evaluated the efficacy of monoclonal antibody treatment compared with that of no monoclonal antibody treatment in symptomatic adults who tested positive for SARS-CoV-2 regardless of their risk factors for disease progression or vaccination status during different periods of SARS-CoV-2 variant predominance. The primary outcome was hospitalization within 28 days after COVID-19 diagnosis. The study was conducted on patients with a diagnosis of COVID-19 from November 19, 2020, through May 12, 2022. Results: Of the included 118,936 eligible patients, hospitalization within 28 days of COVID-19 diagnosis occurred in 2.52% (456/18,090) of patients who received monoclonal antibody treatment and 6.98% (7,037/100,846) of patients who did not. Treatment with monoclonal antibody therapies was associated with a lower risk of hospitalization when using stratified data analytics, propensity scoring, and regression and machine learning models with and without adjustments for putative confounding variables, such as advanced age and coexisting medical conditions (eg, relative risk, 0.15; 95% CI, 0.14-0.17). Conclusion: Among patients with mild to moderate COVID-19, including those who have been vaccinated, monoclonal antibody treatment was associated with a lower risk of hospital admission during each wave of the COVID-19 pandemic