ABSTRACT
Background: Some factors associated with severe COVID-19 outcomes have been identifed in patients with psoriasis (PsO) and infammatory/autoimmune rheumatic diseases, namely older age, male sex, comorbidity burden, higher disease activity, and certain medications such as rituximab. However, information about specifcities of patients with PsO, psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA), including disease modifying anti-rheumatic drugs (DMARDs) specifcally licensed for these conditions, such as IL-17 inhibitors (IL-17i), IL-23/IL-12 + 23 inhibitors (IL-23/IL-12 + 23i), and apremilast, is lacking. Objectives: To determine characteristics associated with severe COVID-19 outcomes in people with PsO, PsA and axSpA. Methods: This study was a pooled analysis of data from two physician-reported registries: the Psoriasis Patient Registry for Outcomes, Therapy and Epidemiology of COVID-19 Infection (PsoProtect), comprising patients with PsO/PsA, and the COVID-19 Global Rheumatology Alliance (GRA) registry, comprising patients with PsA/axSpA. Data from the beginning of the pandemic up to 25 October, 2021 were included. An ordinal severity outcome was defned as: 1) not hospitalised, 2) hospitalised without death, and 3) death. A multivariable ordinal logistic regression model was constructed to assess the relationship between COVID-19 severity and demographic characteristics (age, sex, time period of infection), comorbidities (hypertension, other cardiovascular disease [CVD], chronic obstructive lung disease [COPD], asthma, other chronic lung disease, chronic kidney disease, cancer, smoking, obesity, diabetes mellitus [DM]), rheumatic/skin disease (PsO, PsA, axSpA), physician-reported disease activity, and medication exposure (methotrexate, lefunomide, sulfasalazine, TNFi, IL17i, IL-23/IL-12 + 23i, Janus kinase inhibitors (JAKi), apremilast, glucocorticoids [GC] and NSAIDs). Age-adjustment was performed employing four-knot restricted cubic splines. Country-adjustment was performed using random effects. Results: A total of 5008 individuals with PsO (n=921), PsA (n=2263) and axSpA (n=1824) were included. Mean age was 50 years (SD 13.5) and 51.8% were male. Hospitalisation (without death) was observed in 14.6% of cases and 1.8% died. In the multivariable model, the following variables were associated with severe COVID-19 outcomes: older age (Figure 1), male sex (OR 1.53, 95%CI 1.29-1.82), CVD (hypertension alone: 1.26, 1.02-1.56;other CVD alone: 1.89, 1.22-2.94;vs no hypertension and no other CVD), COPD or asthma (1.75, 1.32-2.32), other lung disease (2.56, 1.66-3.97), chronic kidney disease (2.32, 1.50-3.59), obesity and DM (obesity alone: 1.36, 1.07-1.71;DM alone: 1.85, 1.39-2.47;obesity and DM: 1.89, 1.34-2.67;vs no obesity and no DM), higher disease activity and GC intake (remission/low disease activity and GC intake: 1.96, 1.36-2.82;moderate/severe disease activity and no GC intake: 1.35, 1.05-1.72;moderate/severe disease activity and GC intake 2.30, 1.41-3.74;vs remission/low disease activity and no GC intake). Conversely, the following variables were associated with less severe COVID-19 outcomes: time period after 15 June 2020 (16 June 2020-31 December 2020: 0.42, 0.34-0.51;1 January 2021 onwards: 0.52, 0.41-0.67;vs time period until 15 June 2020), a diagnosis of PsO (without arthritis) (0.49, 0.37-0.65;vs PsA), and exposure to TNFi (0.58, 0.45-0.75;vs no DMARDs), IL17i (0.63, 0.45-0.88;vs no DMARDs), IL-23/IL-12 + 23i (0.68, 0.46-0.997;vs no DMARDs) and NSAIDs (0.77, 0.60-0.98;vs no NSAIDs). Conclusion: More severe COVID-19 outcomes in PsO, PsA and axSpA are largely driven by demographic factors (age, sex), comorbidities, and active disease. None of the DMARDs typically used in PsO, PsA and axSpA, were associated with severe COVID-19 outcomes, including IL-17i, IL-23/IL-12 + 23i, JAKi and apremilast.
ABSTRACT
OBJECTIVES: To investigate differences in coronavirus disease 2019 (COVID-19) mortality between patients with rheumatic musculoskeletal diseases (RMD) and the general population in Italy. METHODS: We analysed the data from the national surveillance study promoted by the Italian Society for Rheumatology (CONTROL-19 database) including patients with RMD and COVID-19 between 26 March 2020 and 29 November 2020, compared with official data from the Italian population (within the same period) adjusted for age, sex and geographic location. The main outcome of the analyses was mortality. The relationship between RMD and mortality was analysed using adjusted logistic models and sensitivity analyses were conducted to support the robustness of our results. RESULTS: We included 668 RMD patients (62.7% with inflammatory arthritis, 28.6% with systemic autoimmune diseases), who had a mean age of 58.4 years and of which 66% were female. Compared to the general population, the RMD population showed an increased risk of death (OR 3.10 (95% CI 2.29-4.12)), independently from the differences in age and sex distribution. Even after considering the potential influence of surveillance bias, the OR was 2.08 (95% CI: 1.55-2.73). Such excess of risk was more evident in the subgroup of younger patients, and more consistent in women. Subjects with systemic autoimmune diseases showed a higher risk of death than patients with any other RMDs. CONCLUSIONS: Patients with RMD and COVID-19 infection evidenced a significant increase in mortality during the first pandemic phases in Italy. These findings support the need for strong SARS-CoV-2 prevention in patients with rheumatic diseases.