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Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study

As there are limited data on the disease course of and factors predicting severe coronavirus disease 19 (COVID-19) in patients with asthma, this study aims to perform a detailed analysis of the clinical course of asthmatic patients with COVID-19 and evaluate factors related to severe infection. Of t...

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Autores principales: Lee, Hyun, Choi, Hayoung, Lee, Sun-Kyung, Park, Tai Sun, Park, Dong Won, Moon, Ji-Yong, Kim, Tae-Hyung, Sohn, Jang Won, Yoon, Ho Joo, Kim, Sang-Heon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Asthma, Allergy and Clinical Immunology; The Korean Academy of Pediatric Allergy and Respiratory Disease 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569033/
https://www.ncbi.nlm.nih.gov/pubmed/34734511
http://dx.doi.org/10.4168/aair.2021.13.6.939
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author Lee, Hyun
Choi, Hayoung
Lee, Sun-Kyung
Park, Tai Sun
Park, Dong Won
Moon, Ji-Yong
Kim, Tae-Hyung
Sohn, Jang Won
Yoon, Ho Joo
Kim, Sang-Heon
author_facet Lee, Hyun
Choi, Hayoung
Lee, Sun-Kyung
Park, Tai Sun
Park, Dong Won
Moon, Ji-Yong
Kim, Tae-Hyung
Sohn, Jang Won
Yoon, Ho Joo
Kim, Sang-Heon
author_sort Lee, Hyun
collection PubMed
description As there are limited data on the disease course of and factors predicting severe coronavirus disease 19 (COVID-19) in patients with asthma, this study aims to perform a detailed analysis of the clinical course of asthmatic patients with COVID-19 and evaluate factors related to severe infection. Of the 5,628 patients confirmed with COVID-19, 128 (2.3%) had asthma. Among the 128 asthmatic patients, 32 (25%) had severe COVID-19 and 96 (75%) had non-severe COVID-19. Among asthmatic patients, those with severe COVID-19 were significantly older and had more dyspnea and fever, more comorbidities, and lower lymphocyte and platelet counts than those with non-severe COVID-19. In multivariable logistic regression analysis, chronic obstructive pulmonary disease (adjusted odds ratio [aOR], 6.49; 95% confidence interval [CI], 1.18–41.81), low lymphocyte proportion (aOR, 0.91; 95% CI, 0.86–0.97), and low platelet count (aOR, 0.99; 95% CI, 0.98–0.99) were independently associated with severe COVID-19.
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spelling pubmed-85690332021-11-17 Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study Lee, Hyun Choi, Hayoung Lee, Sun-Kyung Park, Tai Sun Park, Dong Won Moon, Ji-Yong Kim, Tae-Hyung Sohn, Jang Won Yoon, Ho Joo Kim, Sang-Heon Allergy Asthma Immunol Res Brief Communication As there are limited data on the disease course of and factors predicting severe coronavirus disease 19 (COVID-19) in patients with asthma, this study aims to perform a detailed analysis of the clinical course of asthmatic patients with COVID-19 and evaluate factors related to severe infection. Of the 5,628 patients confirmed with COVID-19, 128 (2.3%) had asthma. Among the 128 asthmatic patients, 32 (25%) had severe COVID-19 and 96 (75%) had non-severe COVID-19. Among asthmatic patients, those with severe COVID-19 were significantly older and had more dyspnea and fever, more comorbidities, and lower lymphocyte and platelet counts than those with non-severe COVID-19. In multivariable logistic regression analysis, chronic obstructive pulmonary disease (adjusted odds ratio [aOR], 6.49; 95% confidence interval [CI], 1.18–41.81), low lymphocyte proportion (aOR, 0.91; 95% CI, 0.86–0.97), and low platelet count (aOR, 0.99; 95% CI, 0.98–0.99) were independently associated with severe COVID-19. The Korean Academy of Asthma, Allergy and Clinical Immunology; The Korean Academy of Pediatric Allergy and Respiratory Disease 2021-05-13 /pmc/articles/PMC8569033/ /pubmed/34734511 http://dx.doi.org/10.4168/aair.2021.13.6.939 Text en Copyright © 2021 The Korean Academy of Asthma, Allergy and Clinical Immunology • The Korean Academy of Pediatric Allergy and Respiratory Disease https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communication
Lee, Hyun
Choi, Hayoung
Lee, Sun-Kyung
Park, Tai Sun
Park, Dong Won
Moon, Ji-Yong
Kim, Tae-Hyung
Sohn, Jang Won
Yoon, Ho Joo
Kim, Sang-Heon
Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
title Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
title_full Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
title_fullStr Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
title_full_unstemmed Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
title_short Predicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
title_sort predicting factors of severe covid-19 in patients with asthma: a korean national cohort study
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569033/
https://www.ncbi.nlm.nih.gov/pubmed/34734511
http://dx.doi.org/10.4168/aair.2021.13.6.939
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