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Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up
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 predi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241466/ https://www.ncbi.nlm.nih.gov/pubmed/34189675 http://dx.doi.org/10.1007/s10067-021-05833-1 |
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author | Gamboa-Cárdenas, Rocío-V. Barzola-Cerrón, Silvia Toledo-Neira, Denisse Reátegui-Sokolova, Cristina Pimentel-Quiroz, Víctor Zevallos-Miranda, Francisco Alarcón, Graciela S. Ugarte-Gil, Manuel |
author_facet | Gamboa-Cárdenas, Rocío-V. Barzola-Cerrón, Silvia Toledo-Neira, Denisse Reátegui-Sokolova, Cristina Pimentel-Quiroz, Víctor Zevallos-Miranda, Francisco Alarcón, Graciela S. Ugarte-Gil, Manuel |
author_sort | Gamboa-Cárdenas, Rocío-V. |
collection | PubMed |
description | 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 < 0.05) were determined. RESULTS: One thousand and one hundred forty-eight patients with ARDs were included; 154 had COVID-19; of these 139 (90.3%) were women, aged 52.5 (13.7) years; 33.1% had hypertension and 61.0% an affected organ by ARD. Infection was detected 8.4 (10.1) days after symptoms started; there were 33 hospitalized patients (rate 21.4%). Predictors of hospitalization by multivariable analysis were age (OR: 1.06; CI: 1.01–1.10; p: 0.01), comorbidities: hypertension (OR: 3.95; 95% CI: 1.40–10.95, p: 0.01) and neoplasm (OR: 9.0; 95% CI: 1.6–52.3; p: 0.01), number of organs involved by ARD (OR: 2.26; 95% CI: 1.16–4.41; p: 0.02), and infection diagnosis delay (OR: 1.36; 95% CI: 1.03–1.80; p: 0.01). CONCLUSIONS: In our ARD patients with COVID-19, older age, comorbidities (neoplasm and hypertension), and a delay in COVID-19 diagnosis were predictors of hospitalization. The only ARD-associated predictor feature was the number of organs involved. |
format | Online Article Text |
id | pubmed-8241466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82414662021-07-01 Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up Gamboa-Cárdenas, Rocío-V. Barzola-Cerrón, Silvia Toledo-Neira, Denisse Reátegui-Sokolova, Cristina Pimentel-Quiroz, Víctor Zevallos-Miranda, Francisco Alarcón, Graciela S. Ugarte-Gil, Manuel Clin Rheumatol Original Article 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 < 0.05) were determined. RESULTS: One thousand and one hundred forty-eight patients with ARDs were included; 154 had COVID-19; of these 139 (90.3%) were women, aged 52.5 (13.7) years; 33.1% had hypertension and 61.0% an affected organ by ARD. Infection was detected 8.4 (10.1) days after symptoms started; there were 33 hospitalized patients (rate 21.4%). Predictors of hospitalization by multivariable analysis were age (OR: 1.06; CI: 1.01–1.10; p: 0.01), comorbidities: hypertension (OR: 3.95; 95% CI: 1.40–10.95, p: 0.01) and neoplasm (OR: 9.0; 95% CI: 1.6–52.3; p: 0.01), number of organs involved by ARD (OR: 2.26; 95% CI: 1.16–4.41; p: 0.02), and infection diagnosis delay (OR: 1.36; 95% CI: 1.03–1.80; p: 0.01). CONCLUSIONS: In our ARD patients with COVID-19, older age, comorbidities (neoplasm and hypertension), and a delay in COVID-19 diagnosis were predictors of hospitalization. The only ARD-associated predictor feature was the number of organs involved. Springer International Publishing 2021-06-30 2021 /pmc/articles/PMC8241466/ /pubmed/34189675 http://dx.doi.org/10.1007/s10067-021-05833-1 Text en © International League of Associations for Rheumatology (ILAR) 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Gamboa-Cárdenas, Rocío-V. Barzola-Cerrón, Silvia Toledo-Neira, Denisse Reátegui-Sokolova, Cristina Pimentel-Quiroz, Víctor Zevallos-Miranda, Francisco Alarcón, Graciela S. Ugarte-Gil, Manuel Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
title | Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
title_full | Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
title_fullStr | Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
title_full_unstemmed | Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
title_short | Predictors of hospitalization for COVID-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
title_sort | predictors of hospitalization for covid-19 in patients with autoimmune rheumatic diseases: results from a community cohort follow-up |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241466/ https://www.ncbi.nlm.nih.gov/pubmed/34189675 http://dx.doi.org/10.1007/s10067-021-05833-1 |
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