Social Media Use Among Members of the Assessment of Spondyloarthritis International Society: Results of a Web-Based Survey.

BACKGROUND: The use of social media in health care may serve as a beneficial tool for education, information dissemination, telemedicine, research, networking, and communications. To better leverage the benefits of social media, it is imperative to understand the patterns of its use and potential barriers to its implementation in health care. A previous study in 2016 that investigated social media use among young clinical rheumatologists (≤45 years) and basic scientists showed that there was substantial social media use among them for social and professional reasons. However, there is a limited inquiry into social media use in different areas of rheumatology, such as spondyloarthritis. OBJECTIVE: We aimed to explore the motivations, barriers, and patterns of social media use among an international group of experts in spondyloarthritis. METHODS: We distributed a web-based survey via email from March 2021 to June 2021 to 198 members of the Assessment of Spondyloarthritis International Society. It contained 24 questions about demographic characteristics, patterns of current social media use, and perceptions of utility. Univariable and multivariable logistic regression analyses were performed to identify the characteristics associated with use trends. RESULTS: The response rate was 78.8% (156/198). Of these, 93.6% (146/156) of participants used at least one social media platform. Apart from internet-based shopping and entertainment, the use of social media for clinical updates (odds ratio [OR] 6.25, 95% CI 2.43-16.03) and research updates (OR 3.45, 95% CI 1.35-8.78) were associated with higher social media consumption. Among the respondents, 66% (103/156) used social media in a work-related manner. The use of social media for new web-based resources (OR 6.55, 95% CI 2.01-21.37), interaction with international colleagues (OR 4.66, 95% CI 1.21-17.90), and establishing a web-based presence (OR 4.05, 95% CI 1.25-13.13) were associated with higher levels of consumption for work-related purposes. Time investment, confidentiality concerns, and security concerns were the top 3 challenges to a wider adoption of social media. CONCLUSIONS: Most respondents (103/156, 66%) use social media in a work-related manner. Professional development, establishing a web-based presence, and international collaboration were associated with higher use. Challenges to social media adoption should be addressed to maximize its benefits.

Evaluation of the prevalence of new-onset musculoskeletal symptoms in patients hospitalized for severe SARS-CoV-2 infection during the first two COVID waves in France: A descriptive analysis of the clinical data warehouse of 39 hospitals in France.

OBJECTIVE: To determine the prevalence of musculoskeletal (MSK) symptoms appearing after a SARS-CoV-2 infection. METHODS: This was an observational cohort based on data available at the Assistance publique-Hôpitaux de Paris (AP-HP) Clinical Data Warehouse (which includes data of more than 11 million patients treated in the 39 hospitals from AP-HP). The data collected included both ICD-10 codes in discharge summaries, and recurring wording expressions search on medical electronic documents. To be included in the analysis, patients had to have a positive RT-PCR for SARS-CoV-2 and be admitted in any department of AP-HP. Patients with previous history of any MSK condition were excluded. MSK conditions were considered if occurring up to 90days after the positive RT-PCR. Demographics and disease characteristics including treatment were compared in both groups (MSK yes/no) by t-test or Chi2 test, accordingly. RESULTS: In total, 17,771 patients had a positive SARS-CoV-2 RT-PCR at APHP and were admitted in any department of AP-HP. Among them, 15,601 had no previous history of MSK condition and among them, 1370 (8.8%) presented with MSK symptoms after the viral infection. The most prevalent MSK symptoms were back pain (32.9%), followed by arthralgia (29.9%), radicular pain (20.2%) and arthritis (22.8%). Patients with MSK symptoms (MSK+) were older (67 y vs. 64 y, P<0.01), more frequently obese (29% vs. 25%, P=0.03), hypertensive (34% vs. 30%, P<0.01) and with diabetes (21% vs. 18%, P<0.01). Treatment for SARS-CoV-2 was slightly different in both groups, with higher corticosteroids (40.7% vs. 29.0%, P<0.01), antivirals (21.5% vs. 15.3%, P<0.01) and immunosuppressors (8.5% vs. 4.5%, P<0.01) prescription rates in the MSK+ group. CONCLUSION: MSK symptoms occurred in almost 9% of patients admitted to the hospital after a SARS-CoV-2 infection, particularly in older and more comorbid patients. Further analysis evaluating whether these symptoms remain over time are needed.

Evaluation of Patients With Rheumatoid Arthritis in Teleconsultation During the First Wave of the COVID-19 Pandemic.

OBJECTIVE: To describe which variables were collected by rheumatologists to monitor patients with rheumatoid arthritis (RA) during teleconsultation and identify which ones have more impact on clinician intervention. METHODS: Retrospective monocentric, routine care cross-sectional study including patients with RA seen in teleconsultation between March and September 2020. Available variables assessing disease status were collected in teleconsultation files. Clinician intervention was defined by treatment escalation and/or the need for a rapid face-to-face consultation or day hospitalization. RESULTS: One hundred forty-three patients with RA were included (116 females, mean age of 58 [SD 16] yrs, mean disease duration of 14 [SD 11] yrs). The presence or absence of patient self-reported RA flares was mentioned in all medical files, followed by the presence and/or the number of tender joints (76%), the duration of morning stiffness (66%), the number of pain-related nocturnal awakenings (66%) and the C-reactive protein (CRP) value (54%). Teleconsultation led to a clinician intervention in 22/143 patients (15%), representing 51% of patients with self-reported flares (22/43 patients). Therapeutic escalation was necessary in 13 patients and/or face-to-face consultation or day hospitalization were organized for 10 patients. Multivariate analysis identified RA flares (odds ratio [OR] 15.6, 95% CI 3.37-68.28) and CRP values > 10 mg/L (OR 3.32, 95% CI % 1.12-13.27) as the variables independently associated with clinician intervention. CONCLUSION: Our study identified patient-reported RA flares and increased CRP values as 2 red flags in teleconsultation, independently associated with therapeutic modification and/or the need for a rapid face-to-face consultation. These indicators may help clinicians' decision making in teleconsultation.

Risk factors of impaired humoral response to COVID-19 vaccination in rituximab-treated patients.

OBJECTIVE: To identify which factors influence humoral response to coronavirus disease 2019 (COVID-19) vaccination in rituximab (RTX)-treated patients. METHODS: This was an observational, prospective, usual care study including consecutive patients with inflammatory rheumatic diseases in maintenance therapy with RTX. All patients received a two-dose regimen COVID-19 vaccination. Serum IgG antibody levels against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike proteins were measured at the time of the new RTX infusion. RESULTS: From the recruited patients, 16/45 (36%) produced antibodies reaching the assay cut-off value of 15 AU/ml and 29/45 (64%) had a negative serology. Within RTX-treated patients, 25 (56%) had undetectable B cells. Negative serology was associated with undetectable B cells (24/25 vs 5/20, P < 0.001). Moreover, SARS-CoV-2 spike antibodies correlated with CD19 counts (r = 0.86, P < 0.001). The effect of RTX and MTX was additive in terms of seroconversion rates (23% vs 50% in patients receiving RTX in monotherapy, P = 0.12) and SARS-CoV-2 spike antibody levels [3.80 (95% CI 3.80, 7.50) vs 75 (95% CI 3.8, 353) AU/ml in patients receiving RTX in monotherapy; P = 0.025]. Multivariate analyses including demographics, disease characteristics, gammaglobulin levels, RTX and other therapies used, CD19 counts, and the time between the last RTX infusion and vaccination identified detectable B cells as the only variable independently associated with seropositivity [odds ratio 35.2 (95% CI 3.59, 344.20)]. CONCLUSIONS: B cell depletion is the main independent contributing factor of antibody response to SARS-CoV-2 vaccination in RTX-treated patients. Monitoring CD19 may be of interest to identify the most appropriate period to perform vaccination.