RESUMO
BACKGROUND: SARS-CoV-2 infection has become a major international issue, not only from a medical point of view, but also social, economic and political. Most of the available information comes from the United States, Europe, and China, where the population and the socioeconomic status are very different from Latin American countries. This study evaluates the effect of regional socioeconomic characteristics on mortality due SARS-CoV-2 infection in patients with immune-mediated rheumatic diseases (IMRD) from Argentina, Mexico and Brazil. METHODS: Data from three national registries, SAR-COVID (Argentina), CMR-COVID (Mexico) and ReumaCoV-Brasil (Brazil), were combined. Adult IMRD patients with SARS-CoV-2 infection were recruited. National data for each province/state, including population density, number of physicians per inhabitant, income, unemployment, GINI index, Municipal Human Development Index (MHDI), stringency index, vaccination rate and most frequent viral strains per period were assessed as risk factors for mortality due to COVID-19. RESULTS: A total of 4744 patients were included, 2534 (53.4%) from SAR-COVID, 1166 (24.6%) from CMRCOVID and 1044 (22.0%) from ReumaCoV-Brasil. Mortality due to COVID-19 was 5.4%. In the multivariable analysis, higher number of physicians per 1000 inhabitants and being infected during the vaccination period of each country were associated with lower mortality. After adjustment for socioeconomic factors, there was no association with country of residence and mortality. CONCLUSION: These findings corroborate the complex interplay between socioeconomic factors, rheumatic disease activity, and regional disparities as determinants of death due to COVID-19 in Argentina, Brazil and Mexico. Thus, this research provides valuable insights for guiding public health policies and clinical practice in the ongoing fight against the COVID-19 pandemic.
Assuntos
COVID-19 , Doenças Reumáticas , Fatores Socioeconômicos , Humanos , COVID-19/mortalidade , COVID-19/epidemiologia , Doenças Reumáticas/mortalidade , Brasil/epidemiologia , México/epidemiologia , Argentina/epidemiologia , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , SARS-CoV-2 , Fatores de Risco , Desemprego/estatística & dados numéricos , Idoso , Sistema de Registros , Densidade DemográficaRESUMO
OBJECTIVE: To describe characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients with rheumatic immune-mediated inflammatory diseases (IMIDs) from Argentina, Mexico and Brazil, and to assess factors associated with mortality in this population. METHODS: Data from 3 national registries, SAR-COVID (Argentina), CMR-COVID (Mexico), and ReumaCoV-Brasil (Brazil), were combined. Adult patients with IMIDs and SARS-CoV-2 infection were recruited. Sociodemographic data, comorbidities, IMID clinical characteristics and treatment, and SARS-CoV-2 infection presentation and outcomes were recorded. RESULTS: A total of 4827 individuals were included: 2542 (52.7%) from SAR-COVID, 1167 (24.2%) from CMR-COVID, and 1118 (23.1%) from ReumaCoV-Brasil. Overall, 82.1% were female with a mean age of 49.7 (SD, 14.3) years; 22.7% of the patients were hospitalized, and 5.3% died because of COVID-19 (coronavirus disease 2019). Argentina and Brazil had both 4% of mortality and Mexico 9.4%. In the multivariable analysis, older age (≥60 years; odds ratio [OR], 7.4; 95% confidence interval [CI], 4.6-12.4), male sex (OR, 1.5; 95% CI, 1.1-2.1), living in Mexico (OR, 3.0; 95% CI, 2.0-4.4), comorbidity count (1 comorbidity: OR, 1.5; 95% CI, 1.0-2.1), diagnosis of connective tissue disease or vasculitis (OR, 1.8; 95% CI, 1.3-2.4), and other diseases (OR, 2.6; 95% CI, 1.6-4.1) compared with inflammatory joint disease, high disease activity (OR, 4.2; 95% CI, 2.5-7.0), and treatment with glucocorticoids (OR, 1.9; 95% CI, 1.4-2.5) or rituximab (OR, 4.2; 95% CI, 2.7-6.6) were associated with mortality. CONCLUSIONS: Mortality in patients with IMIDs was particularly high in Mexicans. Ethnic, environmental, societal factors, and different COVID-19 mitigation measures adopted have probably influenced these results.