Factors associated with poor outcomes in SLE patients with COVID-19: Data from ReumaCoV-Brazil register.

OBJECTIVES: To evaluate factors associated with COVID-19 severity outcomes in patients with systemic lupus erythematosus (SLE). METHODS: This was a cross-sectional analysis of baseline data of a prospective, multi-stage cohort study-"The ReumaCoV Brazil"-designed to monitor patients with immune-mediated rheumatologic disease (IMRD) during the SARS-CoV-2 pandemic. SLE adult patients with COVID-19 were compared with those without COVID-19. SLE activity was evaluated by the patient global assessment (PGA) and SLE Disease Activity Index 2000 (SLEDAI-2K). RESULTS: 604 SLE patients were included, 317 (52.4%) with COVID-19 and 287 (47.6%) in the control group. SLE COVID-19 patients reported a lower frequency of social isolation and worked more frequently as health professionals. There was no difference in the mean SLEDAI-2K score between groups in the post-COVID-19 period (5.8 [8.6] vs. 4.5 [8.0]; p = 0.190). However, infected patients reported increased SLE activity according to the Patient Global Assessment (PGA) during this period (2.9 [2.9] vs. 2.3 [2.6]; p = 0.031. Arterial hypertension (OR 2.48 [CI 95% 1.04-5.91], p = 0.041), cyclophosphamide (OR 14.32 [CI 95% 2.12-96.77], p = 0.006), dyspnea (OR: 7.10 [CI 95% 3.10-16.23], p < 0.001) and discontinuation of SLE treatment medication during infection (5.38 [CI 95% 1.97-15.48], p = 0.002), were independently associated with a higher chance of hospitalization related to COVID-19. Patients who received telemedicine support presented a 67% lower chance of hospitalization (OR 0.33 [CI 95% 0.12-0.88], p = 0.02). CONCLUSION: Hypertension and cyclophosphamide were associated with a severe outcome, and telemedicine can be a useful tool for SLE patients with COVID-19.

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.

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.