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. 2021 Mar;76(3):918-921.
doi: 10.1111/all.14609. Epub 2020 Oct 18.

Characterization of asthma and risk factors for delayed SARS-CoV-2 clearance in adult COVID-19 inpatients in Daegu

Sujeong Kim  1 , Chang-Gyu Jung  2 , Ji Yeon Lee  3 , Gunwoo Kim  4 , Sae Won Choi  5 , Hyun Jung Jin  6 , Han-Ki Park  7
Affiliations

Characterization of asthma and risk factors for delayed SARS-CoV-2 clearance in adult COVID-19 inpatients in Daegu

Sujeong Kim et al. Allergy. 2021 Mar.
No abstract available

Keywords: COVID-19; SARS-CoV-2; asthma; negative conversion; prevalence; risk factor.

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Conflict of interest statement

The authors declare no competing financial interest.

Figures

FIGURE 1
FIGURE 1
Characterization of asthma in adult COVID‐19 inpatients. (A) Prevalence of asthma in COVID‐19 and in the KNHANES. (B) Prevalence by age‐group in COVID‐19 and in the KNHANES. (C) Univariate analysis of clinical outcomes according to asthma. (D) Death and ongoing care according to the asthma subgroups. Abbreviations: KNHANES, Korea National Health and Nutrition Examination Survey; COVID‐19, coronavirus disease‐2019; ICU, intensive care unit; BMI, body mass index. *P < .05
FIGURE 2
FIGURE 2
(A) Forest plot showing odds ratios (ORs) of asthma for the clinical outcomes. (B) Forest plot showing odds ratios (ORs) for risk factors for delayed viral clearance (>30 d) of total patients (N = 1321; the nondelayed viral clearance group = 906, the delayed viral clearance group = 415). ORs are adjusted for age, sex, body mass index, smoking history, underlying comorbidity, and medication for COVID‐19 by multivariate logistic regression model. Abbreviations: PCR, polymerase chain reaction; SARS‐CoV‐2, severe acute respiratory syndrome coronavirus 2; COVID‐19, coronavirus disease 2019; Hb, hemoglobin; CRP, C‐reactive protein
See this image and copyright information in PMC

References

    1. Johnston SL. Asthma and COVID‐19: is asthma a risk factor for severe outcomes? Allergy. 2020;75:1543‐1545. - PMC - PubMed
    1. Yan D, Liu X‐Y, Zhu Y‐N, et al. Factors associated with prolonged viral shedding and impact of Lopinavir/Ritonavir treatment in hospitalised non‐critically ill patients with SARS‐CoV‐2 infection. Eur Respir J. 2020;56(1):2000799. - PMC - PubMed
    1. Wenzel SE. Asthma phenotypes: the evolution from clinical to molecular approaches. Nat Med. 2012;18(5):716‐725. - PubMed
    1. Bradding P, Richardson M, Hinks TS, et al. ACE2, TMPRSS2 and furin gene expression in the airways of people with asthma–implications for COVID‐19. J Allergy Clin Immunol. 2020;146:208‐211. - PMC - PubMed
    1. Jesenak M, Banovcin P, Diamant Z. COVID‐19, chronic inflammatory respiratory diseases and eosinophils–Observations from reported clinical case series. Allergy. 2020;75(7):1819‐1822. - PubMed

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