COVID-19 was not associated or trigger disease activity in spondylarthritis patients: ReumaCoV-Brasil cross-sectional data.

OBJECTIVES: To evaluate the disease activity before and after COVID-19 and risk factors associated with outcomes, including hospitalization, intensive care unit (ICU) admission, mechanical ventilation (MV) and death in patients with spondylarthritis (SpA). METHODS: ReumaCoV Brazil is a multicenter prospective cohort of immune-mediated rheumatic diseases (IMRD) patients with COVID-19 (case group), compared to a control group of IMRD patients without COVID-19. SpA patients enrolled were grouped as axial SpA (axSpA), psoriatic arthritis (PsA) and enteropathic arthritis, according to usual classification criteria. RESULTS: 353 SpA patients were included, of whom 229 (64.9%) were axSpA, 118 (33.4%) PsA and 6 enteropathic arthritis (1.7%). No significant difference was observed in disease activity before the study inclusion comparing cases and controls, as well no worsening of disease activity after COVID-19. The risk factors associated with hospitalization were age over 60 years (OR = 3.71; 95% CI 1.62-8.47, p = 0.001); one or more comorbidities (OR = 2.28; 95% CI 1.02-5.08, p = 0.001) and leflunomide treatment (OR = 4.46; 95% CI 1.33-24.9, p = 0.008). Not having comorbidities (OR = 0.11; 95% CI 0.02-0.50, p = 0.001) played a protective role for hospitalization. In multivariate analysis, leflunomide treatment (OR = 8.69; CI = 95% 1.41-53.64; p = 0.023) was associated with hospitalization; teleconsultation (OR = 0.14; CI = 95% 0.03-0.71; p = 0.01) and no comorbidities (OR = 0.14; CI = 95% 0.02-0.76; p = 0.02) remained at final model as protective factor. CONCLUSIONS: Our results showed no association between pre-COVID disease activity or that SARS-CoV-2 infection could trigger disease activity in patients with SpA. Teleconsultation and no comorbidities were associated with a lower hospitalization risk. Leflunomide remained significantly associated with higher risk of hospitalization after multiple adjustments.

Thromboelastometry demonstrates endogenous coagulation activation in nonsevere and severe COVID-19 patients and has applicability as a decision algorithm for intervention.

In patients with severe forms of COVID-19, thromboelastometry has been reported to display a hypercoagulant pattern. However, an algorithm to differentiate severe COVID-19 patients from nonsevere patients and healthy controls based on thromboelastometry parameters has not been developed. Forty-one patients over 18 years of age with positive qRT-PCR for SARS-CoV-2 were classified according to the severity of the disease: nonsevere (NS, n = 20) or severe (S, n = 21). A healthy control (HC, n = 9) group was also examined. Blood samples from all participants were tested by extrinsic (EXTEM), intrinsic (INTEM), non-activated (NATEM) and functional assessment of fibrinogen (FIBTEM) assays of thromboelastometry. The thrombodynamic potential index (TPI) was also calculated. Severe COVID-19 patients exhibited a thromboelastometry profile with clear hypercoagulability, which was significantly different from the NS and HC groups. Nonsevere COVID-19 cases showed a trend to thrombotic pole. The NATEM test suggested that nonsevere and severe COVID-19 patients presented endogenous coagulation activation (reduced clotting time and clot formation time). TPI data were significantly different between the NS and S groups. The maximum clot firmness profile obtained by FIBTEM showed moderate/elevated accuracy to differentiate severe patients from NS and HC. A decision tree algorithm based on the FIBTEM-MCF profile was proposed to differentiate S from HC and NS. Thromboelastometric parameters are a useful tool to differentiate the coagulation profile of nonsevere and severe COVID-19 patients for therapeutic intervention purposes.

Incidence and risk factors for moderate/severe COVID-19 in rheumatic diseases patients on hydroxychloroquine: a 24-week prospective cohort.

OBJECTIVES: To evaluate the incidence of COVID-19 and its main outcomes in rheumatic disease (RD) patients on hydroxychloroquine (HCQ) compared to household cohabitants (HC). METHODS: This is a 24-week nationwide prospective multi-centre cohort with a control group without RD and not using HCQ. All participants were monitored through scheduled phone interviews performed by health professionals. Details regarding COVID-19 symptoms, and epidemiological, clinical, and demographic data were recorded on a specific web-based platform. COVID-19 was defined according to the Brazilian Ministry of Health criteria and classified as mild, moderate or severe. RESULTS: A total of 9,585 participants, 5,164 (53.9%) RD patients on HCQ and 4,421 (46.1%) HC were enrolled from March 29th, 2020 to September 30th, 2020, according to the eligibility criteria. COVID-19 confirmed cases were higher in RD patients than in cohabitants [728 (14.1%) vs. 427 (9.7%), p<0.001] in a 24-week follow-up. However, there was no significant difference regarding outcomes related to moderate/ severe COVID-19 (7.1% and 7.3%, respectively, p=0.896). After multiple adjustments, risk factors associated with hospitalisation were age over 65 (HR=4.5; 95%CI 1.35-15.04, p=0.014) and cardiopathy (HR=2.57; 95%CI 1.12-5.91, p=0.026). The final survival analysis demonstrated the probability of dying in 180 days after a COVID-19 diagnosis was significantly higher in patients over 65 years (HR=20.8; 95%CI 4.5-96.1) and with 2 or more comorbidities (HR=10.8; 95%CI 1.1-107.9 and HR=24.8; 95%CI 2.5-249.3, p=0.006, respectively). CONCLUSIONS: Although RD patients have had a higher COVID-19 incidence than individuals from the same epidemiological background, the COVID-19 severity was related to traditional risk factors, particularly multiple comorbidities and age, and not to underlying RD and HCQ.

High Levels of Polypharmacy in Rheumatoid Arthritis-A Challenge Not Covered by Current Management Recommendations: Data From a Large Real-Life Study.

BACKGROUND: Rheumatoid arthritis (RA) is associated with high frequency of comorbidities and increased risk of polypharmacy. Although there is a great potential for complications, there is a gap in literature on polypharmacy in patients with rheumatic arthritis. OBJECTIVE: To evaluate the prevalence and factors associated with polypharmacy in a population in a real-life setting. METHODS: A cross-sectional multicenter study was conducted in Brazil. Patients underwent clinical evaluation and medical records analysis. Polypharmacy was considered as a dependent variable. To test independent variables, we used Poisson regression. RESULTS: We evaluated 792 patients (89% female, median age 56.6 years). Median duration of disease was 12.7 years, 78.73% had a positive rheumatoid factor. The median of disease activity score-28 was 3.5 (disease with mild activity), median of the clinical disease activity index score was 9, and median of health assessment questionnaire-disability index was 0.875; 47% used corticosteroids, 9.1% used nonsteroidal anti-inflammatory drugs, 90.9% used synthetic disease-modifying antirheumatic drugs, 35.7% used biologic disease-modifying antirheumatic drugs (DMARDs). In total, 537 (67.9%) patients used 5 or more drugs. Polypharmacy showed a relationship with a number of comorbidities and use of specific drugs (corticosteroids, methotrexate, and biological DMARDs). CONCLUSION: We found a high prevalence of polypharmacy (67.9%) in RA. Solutions to management this problem should be stimulated.