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Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study

Open access
de Lusignan, Simon, Dorward, Jienchi, Correa, Ana, Jones, Nicholas, Akinyemi, Oluwafunmi, Amirthalingam, Gayatri, Andrews, Nick, Byford, Rachel, Dabrera, Gavin, Elliot, Alex, Ellis, Joanna, Ferreira, Filipa, Lopez Bernal, Jamie, Okusi, Cecilia, Ramsay, Mary, Sherlock, Julian, Smith, Gillian, Williams, John, Howsam, Gary, Zambon, Maria, Joy, Mark, Hobbs, F D Richard·2020·The Lancet Infectious Diseases

Abstract

BACKGROUND: There are few primary care studies of the COVID-19 pandemic. We aimed to identify demographic and clinical risk factors for testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre primary care network. METHODS: We analysed routinely collected, pseudonymised data for patients in the RCGP Research and Surveillance Centre primary care sentinel network who were tested for SARS-CoV-2 between Jan 28 and April 4, 2020. We used multivariable logistic regression models with multiple imputation to identify risk factors for positive SARS-CoV-2 tests within this surveillance network. FINDINGS: We identified 3802 SARS-CoV-2 test results, of which 587 were positive. In multivariable analysis, male sex was independently associated with testing positive for SARS-CoV-2 (296 [18·4%] of 1612 men vs 291 [13·3%] of 2190 women; adjusted odds ratio [OR] 1·55, 95% CI 1·27-1·89). Adults were at increased risk of testing positive for SARS-CoV-2 compared with children, and people aged 40-64 years were at greatest risk in the multivariable model (243 [18·5%] of 1316 adults aged 40-64 years vs 23 [4·6%] of 499 children; adjusted OR 5·36, 95% CI 3·28-8·76). Compared with white people, the adjusted odds of a positive test were greater in black people (388 [15·5%] of 2497 white people vs 36 [62·1%] of 58 black people; adjusted OR 4·75, 95% CI 2·65-8·51). People living in urban areas versus rural areas (476 [26·2%] of 1816 in urban areas vs 111 [5·6%] of 1986 in rural areas; adjusted OR 4·59, 95% CI 3·57-5·90) and in more deprived areas (197 [29·5%] of 668 in most deprived vs 143 [7·7%] of 1855 in least deprived; adjusted OR 2·03, 95% CI 1·51-2·71) were more likely to test positive. People with chronic kidney disease were more likely to test positive in the adjusted analysis (68 [32·9%] of 207 with chronic kidney disease vs 519 [14·4%] of 3595 without; adjusted OR 1·91, 95% CI 1·31-2·78), but there was no significant association with other chronic conditions in that analysis. We found increased odds of a positive test among people who are obese (142 [20·9%] of 680 people with obesity vs 171 [13·2%] of 1296 normal-weight people; adjusted OR 1·41, 95% CI 1·04-1·91). Notably, active smoking was linked with decreased odds of a positive test result (47 [11·4%] of 413 active smokers vs 201 [17·9%] of 1125 non-smokers; adjusted OR 0·49, 95% CI 0·34-0·71). INTERPRETATION: A positive SARS-CoV-2 test result in this primary care cohort was associated with similar risk factors as observed for severe outcomes of COVID-19 in hospital settings, except for smoking. We provide evidence of potential sociodemographic factors associated with a positive test, including deprivation, population density, ethnicity, and chronic kidney disease. FUNDING: Wellcome Trust.

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Research works printed but not linked: 6

  1. Fleming, 1999, Weekly returns service of the Royal College of General Practitioners, Commun Dis Public Health, 2, 96
  2. de Lusignan, 2019, Serological surveillance of influenza in an English sentinel network: pilot study protocol, BMJ Open, 9, 10.1136/bmjopen-2018-024285 · doi:10.1136/bmjopen-2018-024285
  3. de Lusignan, 2020, Household presentation of acute gastroenteritis in a primary care sentinel network: retrospective database studies, BMC Public Health, 20, 445, 10.1186/s12889-020-08525-8 · doi:10.1186/s12889-020-08525-8
  4. van Buuren, 2011, Multivariate imputation by chained equations in R, J Stat Softw, 45, 1
  5. Godoy, 2018, Smoking may increase the risk of influenza hospitalization and reduce influenza vaccine effectiveness in the elderly, Eur J Public Health, 28, 150, 10.1093/eurpub/ckx130 · doi:10.1093/eurpub/ckx130
  6. Elliot, 2015, Self-sampling for community respiratory illness: a new tool for national virological surveillance, Euro Surveill, 20, 10.2807/1560-7917.ES2015.20.10.21058 · doi:10.2807/1560-7917.es2015.20.10.21058

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Metadata

Authors
de Lusignan, S., Dorward, J., Correa, A., Jones, N., Akinyemi, O., Amirthalingam, G., Andrews, N., Byford, R., Dabrera, G., Elliot, A., Ellis, J., Ferreira, F., Lopez Bernal, J., Okusi, C., Ramsay, M., Sherlock, J., Smith, G., Williams, J., Howsam, G., Zambon, M., Joy, M., & Hobbs, F. D. R.
Venue
The Lancet Infectious Diseases
Publisher
Elsevier BV
Published
2020-09
Volume
20
Issue
9
Pages
1034-1042
ISSN
1473-3099 (ISSN-L)
OpenAlex
W3025271482
Cited by
593
References
40
FWCI
15.90
Type
journal article
Language
en
Open access
hybrid
Licence
Funders
  • Pfizer
  • Wellcome Trust (212763/Z/18/Z, 216421/Z/19/Z)
  • Royal College of General Practitioners
  • National Institute for Health and Care Research
  • Public Health England
  • NIHR Oxford Biomedical Research Centre

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CoChat. (2026). Citation check: Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study. https://app.cochat.ai/papers/10.1016/s1473-3099(20)30371-6
The paper
de Lusignan, S., Dorward, J., Correa, A., Jones, N., Akinyemi, O., Amirthalingam, G., Andrews, N., Byford, R., Dabrera, G., Elliot, A., Ellis, J., Ferreira, F., Lopez Bernal, J., Okusi, C., Ramsay, M., Sherlock, J., Smith, G., Williams, J., Howsam, G., . . . Hobbs, F. D. R. (2020). Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(20)30371-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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