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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...

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Autores principales: Mathew, Jithin, Jain, Siddharth, Susngi, Terence, Naidu, Shankar, Dhir, Varun, Sharma, Aman, Jain, Sanjay, Sharma, Shefali Khanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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.
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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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