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Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study
OBJECTIVE: There is dearth of data regarding the outcomes of coronavirus disease 2019 (COVID-19) among rheumatic and musculoskeletal disease (RMD) patients from Southeast Asia. We report the clinicodemographic profile and identify predictors of COVID-19 outcomes in a large cohort of Indian RMD patie...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995091/ https://www.ncbi.nlm.nih.gov/pubmed/36908302 http://dx.doi.org/10.1093/rap/rkad025 |
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author | Mathew, Jithin Jain, Siddharth Susngi, Terence Naidu, Shankar Dhir, Varun Sharma, Aman Jain, Sanjay Sharma, Shefali Khanna |
author_facet | Mathew, Jithin Jain, Siddharth Susngi, Terence Naidu, Shankar Dhir, Varun Sharma, Aman Jain, Sanjay Sharma, Shefali Khanna |
author_sort | Mathew, Jithin |
collection | PubMed |
description | OBJECTIVE: There is dearth of data regarding the outcomes of coronavirus disease 2019 (COVID-19) among rheumatic and musculoskeletal disease (RMD) patients from Southeast Asia. We report the clinicodemographic profile and identify predictors of COVID-19 outcomes in a large cohort of Indian RMD patients. METHODS: This prospective cohort study, carried out at the Postgraduate Institute of Medical Education and Research, Chandigarh (a tertiary care centre in India), included RMD patients affected with COVID-19 between April 2020 and October 2021. Demographic and clinical and laboratory details of COVID-19 and underlying RMD were noted. Predictors of mortality, hospitalization and severe COVID-19 were identified using stepwise multivariable logistic regression. RESULTS: A total of 64 severe acute respiratory syndrome coronavirus-2-infected RMD patients [age 41.5 (19–85) years; 46 (72%) females] were included. Eighteen (28%) patients had severe COVID-19. Twenty-three (36%) required respiratory support [11 (17%) required mechanical ventilation]. Thirty-six (56%) patients required hospitalization [median duration of stay 10 (1–42) days]; 17 (27%) required intensive care unit admission. Presence of co-morbidities [odds ratio (OR) = 4.5 (95% CI: 1.4, 14.7)] was found to be an independent predictor of COVID-19 severity. Co-morbidities [OR = 10.7 (95% CI: 2.5, 45.4)] and underlying lupus [OR = 7.0 (95% CI: 1.2, 40.8)] were independently associated with COVID-19 hospitalization. Ongoing rheumatic disease activity [OR = 6.8 (95% CI: 1.3, 35.4)] and underlying diagnosis of lupus [OR = 7.1 (95% CI: 1.2, 42.4)] and SSc [OR = 9.5 (95% CI: 1.5, 61.8)] were found to be strong independent predictors of mortality. Age, sex, underlying RMD-associated interstitial lung disease and choice of immunosuppressive therapy were not associated with COVID-19 severity or adverse outcomes. CONCLUSION: The presence of co-morbidities was independently associated with COVID-19 severity and hospitalization. Ongoing rheumatic disease activity and the presence of lupus or SSc independently predicted mortality. Age, sex, type of immunosuppressive therapy and presence of RMD-associated interstitial lung disease did not affect COVID-19 severity or outcomes in Indian RMD patients. |
format | Online Article Text |
id | pubmed-9995091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99950912023-03-09 Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study Mathew, Jithin Jain, Siddharth Susngi, Terence Naidu, Shankar Dhir, Varun Sharma, Aman Jain, Sanjay Sharma, Shefali Khanna Rheumatol Adv Pract Original Article OBJECTIVE: There is dearth of data regarding the outcomes of coronavirus disease 2019 (COVID-19) among rheumatic and musculoskeletal disease (RMD) patients from Southeast Asia. We report the clinicodemographic profile and identify predictors of COVID-19 outcomes in a large cohort of Indian RMD patients. METHODS: This prospective cohort study, carried out at the Postgraduate Institute of Medical Education and Research, Chandigarh (a tertiary care centre in India), included RMD patients affected with COVID-19 between April 2020 and October 2021. Demographic and clinical and laboratory details of COVID-19 and underlying RMD were noted. Predictors of mortality, hospitalization and severe COVID-19 were identified using stepwise multivariable logistic regression. RESULTS: A total of 64 severe acute respiratory syndrome coronavirus-2-infected RMD patients [age 41.5 (19–85) years; 46 (72%) females] were included. Eighteen (28%) patients had severe COVID-19. Twenty-three (36%) required respiratory support [11 (17%) required mechanical ventilation]. Thirty-six (56%) patients required hospitalization [median duration of stay 10 (1–42) days]; 17 (27%) required intensive care unit admission. Presence of co-morbidities [odds ratio (OR) = 4.5 (95% CI: 1.4, 14.7)] was found to be an independent predictor of COVID-19 severity. Co-morbidities [OR = 10.7 (95% CI: 2.5, 45.4)] and underlying lupus [OR = 7.0 (95% CI: 1.2, 40.8)] were independently associated with COVID-19 hospitalization. Ongoing rheumatic disease activity [OR = 6.8 (95% CI: 1.3, 35.4)] and underlying diagnosis of lupus [OR = 7.1 (95% CI: 1.2, 42.4)] and SSc [OR = 9.5 (95% CI: 1.5, 61.8)] were found to be strong independent predictors of mortality. Age, sex, underlying RMD-associated interstitial lung disease and choice of immunosuppressive therapy were not associated with COVID-19 severity or adverse outcomes. CONCLUSION: The presence of co-morbidities was independently associated with COVID-19 severity and hospitalization. Ongoing rheumatic disease activity and the presence of lupus or SSc independently predicted mortality. Age, sex, type of immunosuppressive therapy and presence of RMD-associated interstitial lung disease did not affect COVID-19 severity or outcomes in Indian RMD patients. Oxford University Press 2023-02-28 /pmc/articles/PMC9995091/ /pubmed/36908302 http://dx.doi.org/10.1093/rap/rkad025 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Mathew, Jithin Jain, Siddharth Susngi, Terence Naidu, Shankar Dhir, Varun Sharma, Aman Jain, Sanjay Sharma, Shefali Khanna Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study |
title | Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study |
title_full | Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study |
title_fullStr | Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study |
title_full_unstemmed | Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study |
title_short | Predictors of COVID-19 severity and outcomes in Indian patients with rheumatic diseases: a prospective cohort study |
title_sort | predictors of covid-19 severity and outcomes in indian patients with rheumatic diseases: a prospective cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995091/ https://www.ncbi.nlm.nih.gov/pubmed/36908302 http://dx.doi.org/10.1093/rap/rkad025 |
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