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A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae
Background Multisystem involvement in coronavirus disease 2019 (COVID-19) is known since the beginning of the pandemic, and post-COVID-19 sequelae have often been reported. The term 'long Covid' encompasses these signs and symptoms. The aim of our study was to study different after-effects...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359831/ https://www.ncbi.nlm.nih.gov/pubmed/37485095 http://dx.doi.org/10.7759/cureus.40717 |
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author | Gujral, Harshmeet Singh Sahasrabudhe, Tushar R Nirmala, M A |
author_facet | Gujral, Harshmeet Singh Sahasrabudhe, Tushar R Nirmala, M A |
author_sort | Gujral, Harshmeet Singh |
collection | PubMed |
description | Background Multisystem involvement in coronavirus disease 2019 (COVID-19) is known since the beginning of the pandemic, and post-COVID-19 sequelae have often been reported. The term 'long Covid' encompasses these signs and symptoms. The aim of our study was to study different after-effects which patients endured within 12 months after recovery from acute COVID-19 and to study the various risk predictors. Methods This was a longitudinal observational study of a cohort of 146 patients who recovered from COVID-19 illness. Patients were enrolled during the first four weeks of the onset of their illness, and a monthly follow-up assessment was done for six months that included a detailed history of persistent or new symptoms, new illnesses diagnosed, and complete biochemical, pulmonary, cardiac, neurological and psychiatric evaluation, both objective and subjective. A final follow-up was also done at the end of one year of enrolment. Based on the patient’s self-reported history and our multi-system assessment, recorded sequelae were classified according to the involved organ system. These were correlated with possible risk predictors and statistically significant associations were established. Results One hundred and twenty subjects out of 146 total subjects qualified for final analysis. Pulmonary sequelae (48/120; 40%) were the most followed by psychiatric (30/120; 25%), neurological (26/120; 21.7%), and opportunistic infections (7/120; 5.8%). A total of 39/120 (32.1%) cases complained of prolonged dyspnoea. Six out of 120 i.e. 5% of study participants had new-onset diabetes. Twenty-six out of 120 (21.7%) had radiological signs of pulmonary fibrosis. Patients with co-morbidities, older age, higher body mass index, and patients with severe disease were found to be at higher risk of developing these sequelae. Poor nutrition, female gender, and hospitalization were predictors of psychiatric sequelae. Diabetes and liberal steroid use during COVID-19 management were predictors of opportunistic fungal infections. Conclusion This study evaluated post-COVID-19 sequalae in-depth both objectively and subjectively. Some specific predictors for specific sequelae were confirmed on statistical correlation. Long-term follow-up of high-risk persons is therefore recommended after the cure of COVID-19. |
format | Online Article Text |
id | pubmed-10359831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-103598312023-07-22 A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae Gujral, Harshmeet Singh Sahasrabudhe, Tushar R Nirmala, M A Cureus Internal Medicine Background Multisystem involvement in coronavirus disease 2019 (COVID-19) is known since the beginning of the pandemic, and post-COVID-19 sequelae have often been reported. The term 'long Covid' encompasses these signs and symptoms. The aim of our study was to study different after-effects which patients endured within 12 months after recovery from acute COVID-19 and to study the various risk predictors. Methods This was a longitudinal observational study of a cohort of 146 patients who recovered from COVID-19 illness. Patients were enrolled during the first four weeks of the onset of their illness, and a monthly follow-up assessment was done for six months that included a detailed history of persistent or new symptoms, new illnesses diagnosed, and complete biochemical, pulmonary, cardiac, neurological and psychiatric evaluation, both objective and subjective. A final follow-up was also done at the end of one year of enrolment. Based on the patient’s self-reported history and our multi-system assessment, recorded sequelae were classified according to the involved organ system. These were correlated with possible risk predictors and statistically significant associations were established. Results One hundred and twenty subjects out of 146 total subjects qualified for final analysis. Pulmonary sequelae (48/120; 40%) were the most followed by psychiatric (30/120; 25%), neurological (26/120; 21.7%), and opportunistic infections (7/120; 5.8%). A total of 39/120 (32.1%) cases complained of prolonged dyspnoea. Six out of 120 i.e. 5% of study participants had new-onset diabetes. Twenty-six out of 120 (21.7%) had radiological signs of pulmonary fibrosis. Patients with co-morbidities, older age, higher body mass index, and patients with severe disease were found to be at higher risk of developing these sequelae. Poor nutrition, female gender, and hospitalization were predictors of psychiatric sequelae. Diabetes and liberal steroid use during COVID-19 management were predictors of opportunistic fungal infections. Conclusion This study evaluated post-COVID-19 sequalae in-depth both objectively and subjectively. Some specific predictors for specific sequelae were confirmed on statistical correlation. Long-term follow-up of high-risk persons is therefore recommended after the cure of COVID-19. Cureus 2023-06-21 /pmc/articles/PMC10359831/ /pubmed/37485095 http://dx.doi.org/10.7759/cureus.40717 Text en Copyright © 2023, Gujral et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Internal Medicine Gujral, Harshmeet Singh Sahasrabudhe, Tushar R Nirmala, M A A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae |
title | A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae |
title_full | A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae |
title_fullStr | A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae |
title_full_unstemmed | A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae |
title_short | A Systematic Evaluation of Risk Predictors for COVID-19 Sequelae |
title_sort | systematic evaluation of risk predictors for covid-19 sequelae |
topic | Internal Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359831/ https://www.ncbi.nlm.nih.gov/pubmed/37485095 http://dx.doi.org/10.7759/cureus.40717 |
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