ABSTRACT
BACKGROUND/OBJECTIVE: This study describes the impact of immunomodulatory and/or immunosuppressive (IM/IS) drugs in the outcomes of COVID-19 infection in a cohort of patients with immune-mediated inflammatory diseases (IMIDs). METHODS: Adult patients with IMIDs with a confirmed SARS-CoV-2 infection were included. Data were reported by the treating physician between August 13, 2020 and July 31, 2021. Sociodemographic data, comorbidities, and DMARDs, as well as clinical characteristics, complications, and treatment of the SARS-CoV-2 infection, were recorded. Descriptive analysis and multivariable logistic regression models were carried out. RESULTS: A total of 1672 patients with IMIDs were included, of whom 1402 were treated with IM/IS drugs. The most frequent diseases were rheumatoid arthritis (47.7%) and systemic lupus erythematosus (18.4%). COVID-19 symptoms were present in 95.2% of the patients. A total of 461 (27.6%) patients were hospitalized, 8.2% were admitted to the intensive care unit, and 4.4% died due to COVID-19.Patients without IM/IS treatment used glucocorticoids less frequently but at higher doses, had higher levels of disease activity, were significantly older, were more frequently hospitalized, admitted to the intensive care unit, and died due to COVID-19. After adjusting for these factors, treatment with IM/IS drugs was not associated with a worse COVID-19 outcome (World Health Organization-Ordinal Scale ≥5) (odds ratio, 1.24; 95% confidence interval, 0.73-2.06). CONCLUSIONS: SAR-COVID is the first multicenter Argentine registry collecting data from patients with rheumatic diseases and SARS-CoV-2 infection. After adjusting for relevant covariates, treatment with IM/IS drugs was not associated with severe COVID-19 in patients with IMIDs. STUDY REGISTRATION: This study has been registered in ClinicalTrials.gov under the number NCT04568421.
ABSTRACT
BACKGROUND/OBJECTIVE: This study aims to describe the course and to identify poor prognostic factors of SARS-CoV-2 infection in patients with rheumatic diseases. METHODS: Patients ≥ 18 years of age, with a rheumatic disease, who had confirmed SARS-CoV-2 infection were consecutively included by major rheumatology centers from Argentina, in the national, observational SAR-COVID registry between August 13, 2020 and July 31, 2021. Hospitalization, oxygen requirement, and death were considered poor COVID-19 outcomes. RESULTS: A total of 1915 patients were included. The most frequent rheumatic diseases were rheumatoid arthritis (42%) and systemic lupus erythematosus (16%). Comorbidities were reported in half of them (48%). Symptoms were reported by 95% of the patients, 28% were hospitalized, 8% were admitted to the intensive care unit (ICU), and 4% died due to COVID-19. During hospitalization, 9% required non-invasive mechanical ventilation (NIMV) or high flow oxygen devices and 17% invasive mechanical ventilation (IMV). In multivariate analysis models, using poor COVID-19 outcomes as dependent variables, older age, male gender, higher disease activity, treatment with glucocorticoids or rituximab, and the presence of at least one comorbidity and a greater number of them were associated with worse prognosis. In addition, patients with public health insurance and Mestizos were more likely to require hospitalization. CONCLUSIONS: In addition to the known poor prognostic factors, in this cohort of patients with rheumatic diseases, high disease activity, and treatment with glucocorticoids and rituximab were associated with worse COVID-19 outcomes. Furthermore, patients with public health insurance and Mestizos were 44% and 39% more likely to be hospitalized, respectively. STUDY REGISTRATION: This study has been registered in ClinicalTrials.gov under the number NCT04568421. Key Points ⢠High disease activity, and treatment with glucocorticoids and rituximab were associated with poor COVID-19 outcome in patients with rheumatic diseases. ⢠Some socioeconomic factors related to social inequality, including non-Caucasian ethnicity and public health insurance, were associated with hospitalization due to COVID-19.
ABSTRACT
OBJECTIVE: Some patients with rheumatic diseases might be at higher risk for coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS). We aimed to develop a prediction model for COVID-19 ARDS in this population and to create a simple risk score calculator for use in clinical settings. METHODS: Data were derived from the COVID-19 Global Rheumatology Alliance Registry from March 24, 2020, to May 12, 2021. Seven machine learning classifiers were trained on ARDS outcomes using 83 variables obtained at COVID-19 diagnosis. Predictive performance was assessed in a US test set and was validated in patients from four countries with independent registries using area under the curve (AUC), accuracy, sensitivity, and specificity. A simple risk score calculator was developed using a regression model incorporating the most influential predictors from the best performing classifier. RESULTS: The study included 8633 patients from 74 countries, of whom 523 (6%) had ARDS. Gradient boosting had the highest mean AUC (0.78; 95% confidence interval [CI]: 0.67-0.88) and was considered the top performing classifier. Ten predictors were identified as key risk factors and were included in a regression model. The regression model that predicted ARDS with 71% (95% CI: 61%-83%) sensitivity in the test set, and with sensitivities ranging from 61% to 80% in countries with independent registries, was used to develop the risk score calculator. CONCLUSION: We were able to predict ARDS with good sensitivity using information readily available at COVID-19 diagnosis. The proposed risk score calculator has the potential to guide risk stratification for treatments, such as monoclonal antibodies, that have potential to reduce COVID-19 disease progression.