Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up
Autor: | Manuel F. Ugarte-Gil, Graciela S. Alarcón, Victor R. Pimentel-Quiroz, Denisse Toledo-Neira, Francisco Zevallos-Miranda, Rocío V. Gamboa-Cárdenas, Silvia Barzola-Cerrón, Cristina Reátegui-Sokolova |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
ARDS Longitudinal study Coronavirus disease 2019 (COVID-19) Population Disease Autoimmune Diseases COVID-19 Testing Rheumatology Risk Factors Rheumatic Diseases Internal medicine Autoimmune rheumatic disease medicine Humans Longitudinal Studies education Socioeconomic status Aged education.field_of_study SARS-CoV-2 business.industry COVID-19 General Medicine medicine.disease Hospitalization Cohort Original Article Female COVID-19 adverse predictors business Follow-Up Studies |
Zdroj: | Clinical Rheumatology |
ISSN: | 1434-9949 0770-3198 |
DOI: | 10.1007/s10067-021-05833-1 |
Popis: | Objective The identification of risk factors for COVID-19 adverse course in autoimmune rheumatic diseases (ARDs) is of the utmost importance when approaching patient management; however, data are scarce in relation to the Latin American population. The objective of this study was to determine predictors of hospitalization for COVID-19 patients from an ARD community cohort. Methods A real setting longitudinal study (March to November 2020) in an ARD community cohort was carried out. Potential predictors of hospitalization for COVID-19 examined included (1) sociodemographic variables (age, gender, education, tobacco use, socioeconomic status, and co-inhabitants), (2) comorbidities, (3) time to COVID-19 diagnosis, and (4) ARD’s features: clinical (disease type, disease duration, activity), treatment [corticosteroids use/doses, use of synthetic DMARDs (cDMARDs, tsDMARDs, and bDMARDs)], treatment schedule and non-adherence, and the Multidimensional Health Assessment Questionnaire (MDHAQ). Univariable and multivariable regression analysis were conducted; OR and 95% CI (p |
Databáze: | OpenAIRE |
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