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Is asthma associated with COVID-19 infection? A UK Biobank analysis.
Lodge, Caroline J; Doherty, Alice; Bui, Dinh S; Cassim, Raisa; Lowe, Adrian J; Agusti, Alvar; Russell, Melissa A; Dharmage, Shyamali C.
  • Lodge CJ; Allergy and Lung Health Unit, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Melbourne, VIC, Australia.
  • Doherty A; Equal first/senior.
  • Bui DS; Allergy and Lung Health Unit, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Melbourne, VIC, Australia.
  • Cassim R; Equal first/senior.
  • Lowe AJ; Allergy and Lung Health Unit, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Melbourne, VIC, Australia.
  • Agusti A; Allergy and Lung Health Unit, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Melbourne, VIC, Australia.
  • Russell MA; Allergy and Lung Health Unit, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health, the University of Melbourne, Melbourne, VIC, Australia.
  • Dharmage SC; Centro de Investigation Biomédica en Red Enfermedades Respiratorias (CIBERES), Spain.
ERJ Open Res ; 7(4)2021 Oct.
Article in English | MEDLINE | ID: covidwho-1546754
ABSTRACT

BACKGROUND:

The relationship between asthma and coronavirus disease 2019 (COVID-19) risk is not clear and may be influenced by level of airway obstruction, asthma medication and known COVID-19 risk factors. We aimed to investigate COVID-19 risk in people with asthma.

METHODS:

We used UK Biobank data from all participants tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (n=107 412; 17 979 test positive). Questions at baseline defined ever asthma and asthma medications. Baseline forced expiratory volume in 1 s (FEV1) was categorised into quartiles. Logistic regression modelled relationships between asthma, and asthma categories (age at onset, medications, FEV1 quartiles), and risk of SARS-CoV-2 positive test. We investigated modification by sex, ethnic group, smoking and body mass index.

RESULTS:

There was a reduced risk of a positive test associated with early-onset asthma (<13 years) (OR 0.91, 95% CI 0.84-0.99). This was found for participants with early-onset asthma who were male (OR 0.87, 95% CI 0.78-0.98), nonsmokers (OR 0.87, 95% CI 0.78-0.98), overweight/obese (OR 0.85, 95% CI 0.77-0.93) and non-Black (OR 0.90, 95% CI 0.82-0.98). There was increased risk amongst early-onset individuals with asthma in the highest compared to lowest quartile of lung function (1.44, 1.05-1.72).

CONCLUSION:

Amongst male, nonsmoking, overweight/obese and non-Black participants, having early-onset asthma was associated with lower risk of a SARS-CoV-2 positive test. We found no evidence of a protective effect from asthma medication. Individuals with early-onset asthma of normal weight and with better lung function may have lifestyle differences placing them at higher risk. Further research is needed to elucidate the contribution of asthma pathophysiology and different health-related behaviour, across population groups, to the observed risks.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials / Risk factors Language: English Year: 2021 Document Type: Article Affiliation country: 23120541.00309-2021

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Randomized controlled trials / Risk factors Language: English Year: 2021 Document Type: Article Affiliation country: 23120541.00309-2021