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COVID-19 and associations with frailty and multimorbidity: a prospective analysis of UK Biobank participants

COVID-19 and associations with frailty and multimorbidity: a prospective analysis of UK Biobank participants
COVID-19 and associations with frailty and multimorbidity: a prospective analysis of UK Biobank participants
Aims
We investigated whether frailty and multimorbidity were associated with risk of hospitalisation with COVID-19 in the UK Biobank.

Methods
502,640 participants aged 40-69 years at baseline (54-79 years at COVID-19 testing) were recruited across UK 2006-10. A modified assessment of frailty using Fried’s classification was generated from baseline data. COVID-19 test results (England) were available 16/03/2020-01/06/2020, mostly taken in hospital settings. Logistic regression was used to discern associations between frailty, multimorbidity and COVID-19 diagnoses, adjusting for sex, age, BMI, ethnicity, education, smoking and number of comorbidity groupings, comparing COVID-19 positive, COVID-19 negative and non-tested groups.

Results
4,510 participants were tested for COVID-19 (positive=1,326, negative=3,184). 497,996 participants were not tested. Compared to the non-tested group, after adjustment, COVID-19 positive participants were more likely to be frail (OR=1.4 [95%CI=1.1, 1.8]), report slow walking speed (OR=1.3 [1.1, 1.6]), report two or more falls in the past year (OR=1.3 [1.0, 1.5]) and be multimorbid (≥4 comorbidity groupings vs 0-1: OR=1.9 [1.5, 2.3]). However, similar strength of associations were apparent when comparing COVID-19 negative and non-tested groups. Furthermore, frailty and multimorbidity were not associated with COVID-19 diagnoses, when comparing COVID-19 positive and COVID-19 negative participants.

Discussion and conclusions
Frailty and multimorbidity do not appear to aid risk stratification, in terms of a positive versus negative results of COVID-19 testing. Investigation of the prognostic value of these markers for adverse clinical sequelae following COVID-19 disease is urgently needed.
1594-0667
Woolford, Stephen
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D'angelo, Stefania
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Curtis, Elizabeth
12aba0c3-1e9e-49ef-a7e9-3247e649cdd6
Parsons, Camille
9730e5c3-0382-4ed7-8eaa-6932ab09ec15
Ward, Kathryn
39bd4db1-c948-4e32-930e-7bec8deb54c7
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Patel, Harnish
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Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145
Woolford, Stephen
fbecb815-4294-45c2-a735-6c3ac9739b96
D'angelo, Stefania
13375ecd-1117-4b6e-99c0-32239f52eed6
Curtis, Elizabeth
12aba0c3-1e9e-49ef-a7e9-3247e649cdd6
Parsons, Camille
9730e5c3-0382-4ed7-8eaa-6932ab09ec15
Ward, Kathryn
39bd4db1-c948-4e32-930e-7bec8deb54c7
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Patel, Harnish
e1c0826f-d14e-49f3-8049-5b945d185523
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Harvey, Nicholas
ce487fb4-d360-4aac-9d17-9466d6cba145

Woolford, Stephen, D'angelo, Stefania, Curtis, Elizabeth, Parsons, Camille, Ward, Kathryn, Dennison, Elaine, Patel, Harnish, Cooper, Cyrus and Harvey, Nicholas (2020) COVID-19 and associations with frailty and multimorbidity: a prospective analysis of UK Biobank participants. Aging Clinical and Experimental Research. (In Press)

Record type: Article

Abstract

Aims
We investigated whether frailty and multimorbidity were associated with risk of hospitalisation with COVID-19 in the UK Biobank.

Methods
502,640 participants aged 40-69 years at baseline (54-79 years at COVID-19 testing) were recruited across UK 2006-10. A modified assessment of frailty using Fried’s classification was generated from baseline data. COVID-19 test results (England) were available 16/03/2020-01/06/2020, mostly taken in hospital settings. Logistic regression was used to discern associations between frailty, multimorbidity and COVID-19 diagnoses, adjusting for sex, age, BMI, ethnicity, education, smoking and number of comorbidity groupings, comparing COVID-19 positive, COVID-19 negative and non-tested groups.

Results
4,510 participants were tested for COVID-19 (positive=1,326, negative=3,184). 497,996 participants were not tested. Compared to the non-tested group, after adjustment, COVID-19 positive participants were more likely to be frail (OR=1.4 [95%CI=1.1, 1.8]), report slow walking speed (OR=1.3 [1.1, 1.6]), report two or more falls in the past year (OR=1.3 [1.0, 1.5]) and be multimorbid (≥4 comorbidity groupings vs 0-1: OR=1.9 [1.5, 2.3]). However, similar strength of associations were apparent when comparing COVID-19 negative and non-tested groups. Furthermore, frailty and multimorbidity were not associated with COVID-19 diagnoses, when comparing COVID-19 positive and COVID-19 negative participants.

Discussion and conclusions
Frailty and multimorbidity do not appear to aid risk stratification, in terms of a positive versus negative results of COVID-19 testing. Investigation of the prognostic value of these markers for adverse clinical sequelae following COVID-19 disease is urgently needed.

Text
COVID-19 frailty and multimorbidity v2 - Accepted Manuscript
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Accepted/In Press date: 6 July 2020

Identifiers

Local EPrints ID: 442210
URI: http://eprints.soton.ac.uk/id/eprint/442210
ISSN: 1594-0667
PURE UUID: 92696cf6-d7f4-4f0f-9a69-146055697468
ORCID for Stefania D'angelo: ORCID iD orcid.org/0000-0002-7267-1837
ORCID for Elizabeth Curtis: ORCID iD orcid.org/0000-0002-5147-0550
ORCID for Kathryn Ward: ORCID iD orcid.org/0000-0001-7034-6750
ORCID for Elaine Dennison: ORCID iD orcid.org/0000-0002-3048-4961
ORCID for Harnish Patel: ORCID iD orcid.org/0000-0002-0081-1802
ORCID for Cyrus Cooper: ORCID iD orcid.org/0000-0003-3510-0709
ORCID for Nicholas Harvey: ORCID iD orcid.org/0000-0002-8194-2512

Catalogue record

Date deposited: 09 Jul 2020 16:30
Last modified: 23 Nov 2021 02:40

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Contributors

Author: Stephen Woolford
Author: Stefania D'angelo ORCID iD
Author: Camille Parsons
Author: Kathryn Ward ORCID iD
Author: Elaine Dennison ORCID iD
Author: Harnish Patel ORCID iD
Author: Cyrus Cooper ORCID iD
Author: Nicholas Harvey ORCID iD

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