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1370. Prevalence and predictors of post-covid-19 (long covid) in India
BACKGROUND: Long COVID is a condition that occurs in individuals with a history of probable or confirmed SARS-CoV-2 infection, usually 3 months from the onset of COVID-19, with symptoms that last for at least 2 months and cannot be explained by an alternative diagnosis. This Indian study followed up...
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/PMC10678739/ http://dx.doi.org/10.1093/ofid/ofad500.1207 |
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author | Kumar, Vignesh Koshy, Jency Maria Divyashree, S Narreddy, Suneetha Rupali, Priscilla Sathyendra, Sowmya |
author_facet | Kumar, Vignesh Koshy, Jency Maria Divyashree, S Narreddy, Suneetha Rupali, Priscilla Sathyendra, Sowmya |
author_sort | Kumar, Vignesh |
collection | PubMed |
description | BACKGROUND: Long COVID is a condition that occurs in individuals with a history of probable or confirmed SARS-CoV-2 infection, usually 3 months from the onset of COVID-19, with symptoms that last for at least 2 months and cannot be explained by an alternative diagnosis. This Indian study followed up patients after an episode of acute COVID-19 for 1 year after hospital discharge from different parts of India. METHODS: This was a multi-centric bi-directional study among patients with confirmed COVID-19 which assessed patients at different time points, i.e. 6 weeks, 3-6, 6-9 and 9-12 months. Patients aged ≥18 years with laboratory confirmed COVID-19, were recruited and followed up telephonically using standardized surveys for quality of life. Data on demographics, pre-existing co-morbidities, risk factors, signs and symptoms and hospital parameters during acute COVID-19 infection were noted. An effort was made to include people with different severity of COVID-19. Univariate and multivariate analysis were performed to determine predictors of long covid. RESULTS: A total of 315 patients were enrolled (Table 1). Of these, 59.4 were males and 40.6 were females. The mean age was 51.98 ± 14.619 years. At 6 weeks and 12 months, 16.5% and 24% reported continuing symptoms. While shortness of breath was common at each time point, persistent muscle pain and weakness waxed and waned (Figure 1). At 1 year of follow-up, 24% still reported at least 1 troubling symptom and 26% reported > 1 symptom that affected their quality of life i.e., nearly 8% of patients experienced problems in doing their usual activities, 11.7 % were slightly anxious or depressed and few 3.5% experienced slight pain or discomfort. In the multivariable analyses, the severity of disease at baseline (OR 2.330, 95% CI 1.080-5.027) and higher education (OR 0.437, 95% CI 0.241-1.793) seemed to be associated with long COVID. Demographic and clinical characteristics according to the Severity of COVID [Figure: see text] Persisting symptoms of Long COVID [Figure: see text] CONCLUSION: We found that long covid symptoms may be persistent, following an initial recovery from an acute COVID-19 and may also fluctuate or relapse over time. Since symptoms persist in at least 25% of patients for at least 1 year after discharge, we urgently need therapeutic interventions which can improve the quality of life in patients after an acute episode of COVID-19 infection. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-10678739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106787392023-11-27 1370. Prevalence and predictors of post-covid-19 (long covid) in India Kumar, Vignesh Koshy, Jency Maria Divyashree, S Narreddy, Suneetha Rupali, Priscilla Sathyendra, Sowmya Open Forum Infect Dis Abstract BACKGROUND: Long COVID is a condition that occurs in individuals with a history of probable or confirmed SARS-CoV-2 infection, usually 3 months from the onset of COVID-19, with symptoms that last for at least 2 months and cannot be explained by an alternative diagnosis. This Indian study followed up patients after an episode of acute COVID-19 for 1 year after hospital discharge from different parts of India. METHODS: This was a multi-centric bi-directional study among patients with confirmed COVID-19 which assessed patients at different time points, i.e. 6 weeks, 3-6, 6-9 and 9-12 months. Patients aged ≥18 years with laboratory confirmed COVID-19, were recruited and followed up telephonically using standardized surveys for quality of life. Data on demographics, pre-existing co-morbidities, risk factors, signs and symptoms and hospital parameters during acute COVID-19 infection were noted. An effort was made to include people with different severity of COVID-19. Univariate and multivariate analysis were performed to determine predictors of long covid. RESULTS: A total of 315 patients were enrolled (Table 1). Of these, 59.4 were males and 40.6 were females. The mean age was 51.98 ± 14.619 years. At 6 weeks and 12 months, 16.5% and 24% reported continuing symptoms. While shortness of breath was common at each time point, persistent muscle pain and weakness waxed and waned (Figure 1). At 1 year of follow-up, 24% still reported at least 1 troubling symptom and 26% reported > 1 symptom that affected their quality of life i.e., nearly 8% of patients experienced problems in doing their usual activities, 11.7 % were slightly anxious or depressed and few 3.5% experienced slight pain or discomfort. In the multivariable analyses, the severity of disease at baseline (OR 2.330, 95% CI 1.080-5.027) and higher education (OR 0.437, 95% CI 0.241-1.793) seemed to be associated with long COVID. Demographic and clinical characteristics according to the Severity of COVID [Figure: see text] Persisting symptoms of Long COVID [Figure: see text] CONCLUSION: We found that long covid symptoms may be persistent, following an initial recovery from an acute COVID-19 and may also fluctuate or relapse over time. Since symptoms persist in at least 25% of patients for at least 1 year after discharge, we urgently need therapeutic interventions which can improve the quality of life in patients after an acute episode of COVID-19 infection. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10678739/ http://dx.doi.org/10.1093/ofid/ofad500.1207 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. 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 | Abstract Kumar, Vignesh Koshy, Jency Maria Divyashree, S Narreddy, Suneetha Rupali, Priscilla Sathyendra, Sowmya 1370. Prevalence and predictors of post-covid-19 (long covid) in India |
title | 1370. Prevalence and predictors of post-covid-19 (long covid) in India |
title_full | 1370. Prevalence and predictors of post-covid-19 (long covid) in India |
title_fullStr | 1370. Prevalence and predictors of post-covid-19 (long covid) in India |
title_full_unstemmed | 1370. Prevalence and predictors of post-covid-19 (long covid) in India |
title_short | 1370. Prevalence and predictors of post-covid-19 (long covid) in India |
title_sort | 1370. prevalence and predictors of post-covid-19 (long covid) in india |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678739/ http://dx.doi.org/10.1093/ofid/ofad500.1207 |
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