Open AccessPredicting Factors of Severe COVID-19 in Patients With Asthma: A Korean National Cohort Study
Author(s) -
Hyun Lee,
Hayoung Choi,
Sun-Kyung Lee,
Tai Sun Park,
Dong Won Park,
Ji-Yong Moon,
Tae-Hyung Kim,
Ho Joo Yoon,
SangHeon Kim
Publication year - 2021
Publication title -
allergy, asthma and immunology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.356
H-Index - 45
eISSN - 2092-7363
pISSN - 2092-7355
DOI - 10.4168/aair.2021.13.6.939
Subject(s) - medicine , odds ratio , asthma , confidence interval , covid-19 , logistic regression , severity of illness , disease , lymphocyte , cohort , infectious disease (medical specialty)
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.