Literature DB >> 34332682

Ethnic disparities in COVID-19: increased risk of infection or severe disease? - Authors' reply.

Rohini Mathur1, Christopher T Rentsch2, Caroline E Morton3, Rosalind M Eggo4, Krishnan Bhaskaran2, Laurie Tomlinsonn2, Liam Smeeth2, Ben Goldacre3.   

Abstract

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Year:  2021        PMID: 34332682      PMCID: PMC8321432          DOI: 10.1016/S0140-6736(21)01424-0

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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We thank Daniel Pan and colleagues for raising an important point regarding our cohort study. We agree that separating the risk of infection from the risk of severe disease among those infected is a key issue in understanding and tackling ethnic disparities in COVID-19. Separating these risks in routine electronic health data sources is challenging. During the first wave of the pandemic in the UK, testing for SARS-CoV-2 was not random, with prioritisation of health-care workers and those admitted to hospital. Although testing was more common during the second wave, those receiving a test were still not entirely representative of the population infected with SARS-CoV-2. Indeed, in our own study, we found that minority ethnic groups were less likely to be tested for SARS-CoV-2 than White groups were in the second wave. Therefore restricting our analyses of severe COVID-19 outcomes to those who tested positive for SARS-CoV-2 could have introduced bias and limited interpretation of the resulting estimates. To generate unbiased estimates of ethnic differences in COVID-19 severity among those infected, we would have needed to be confident that uptake of testing in relation to infection prevalence was equivalent between ethnic groups at the point of analysis. Alternatively, we would have needed to adjust for all factors associated with testing positive for SARS-CoV-2, including occupation, which is not captured in routine electronic health data. Our study provides other clues that ethnic differences in severe COVID-19 outcomes might be driven by exposure risk, including the attenuation of risk on adjustment for household size and the rapid change in ethnic patterning of outcomes from the first wave to the second wave, which would be unlikely if ethnic differences were more related to the effects of underlying susceptibility than to increased exposure. There are now a number of population-based cohorts in the UK, within which it might be possible to reliably estimate COVID-19 severity in a representative sample of people with known infection. These include the REACT-2 study, which has already reported higher levels of SARS-CoV-2 antibodies in minority ethnic groups but no ethnic differences in infection-to-mortality ratios. Studies from the Office for National Statistics and the UK Biobank highlighting the role of occupational exposure in COVID-19 mortality further support the hypothesis that ethnic differences in severe COVID-19 outcomes might be related to differences in exposure risk rather than other explanations, such as biological differences or health-care related factors.6, 7 We look forward to findings from ongoing prospective cohort studies, which will build upon existing insights from sociological and community engagement work to disentangle the complex interactions between ethnicity, social disadvantage, occupational and household factors, and access to health care in explaining health inequalities related to COVID-19 and beyond. RM reports research funding from the Wellcome Trust and personal fees from AMGEN, unrelated to this Correspondence. All other authors declare no competing interests.
  6 in total

1.  Occupation and risk of severe COVID-19: prospective cohort study of 120 075 UK Biobank participants.

Authors:  Miriam Mutambudzi; Claire Niedwiedz; Srinivasa Vittal Katikireddi; Evangelia Demou; Ewan Beaton Macdonald; Alastair Leyland; Frances Mair; Jana Anderson; Carlos Celis-Morales; John Cleland; John Forbes; Jason Gill; Claire Hastie; Frederick Ho; Bhautesh Jani; Daniel F Mackay; Barbara Nicholl; Catherine O'Donnell; Naveed Sattar; Paul Welsh; Jill P Pell
Journal:  Occup Environ Med       Date:  2020-12-09       Impact factor: 4.948

2.  Community prevalence of SARS-CoV-2 in England from April to November, 2020: results from the ONS Coronavirus Infection Survey.

Authors:  Koen B Pouwels; Thomas House; Emma Pritchard; Julie V Robotham; Paul J Birrell; Andrew Gelman; Karina-Doris Vihta; Nikola Bowers; Ian Boreham; Heledd Thomas; James Lewis; Iain Bell; John I Bell; John N Newton; Jeremy Farrar; Ian Diamond; Pete Benton; Ann Sarah Walker
Journal:  Lancet Public Health       Date:  2020-12-10

3.  Collider bias undermines our understanding of COVID-19 disease risk and severity.

Authors:  Gareth J Griffith; Tim T Morris; Matthew J Tudball; Annie Herbert; Giulia Mancano; Lindsey Pike; Gemma C Sharp; Jonathan Sterne; Tom M Palmer; George Davey Smith; Kate Tilling; Luisa Zuccolo; Neil M Davies; Gibran Hemani
Journal:  Nat Commun       Date:  2020-11-12       Impact factor: 14.919

4.  Urgent actions and policies needed to address COVID-19 among UK ethnic minorities.

Authors:  Rohini Mathur; Laura Bear; Kamlesh Khunti; Rosalind M Eggo
Journal:  Lancet       Date:  2020-11-19       Impact factor: 79.321

5.  Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform.

Authors:  Rohini Mathur; Christopher T Rentsch; Caroline E Morton; William J Hulme; Anna Schultze; Brian MacKenna; Rosalind M Eggo; Krishnan Bhaskaran; Angel Y S Wong; Elizabeth J Williamson; Harriet Forbes; Kevin Wing; Helen I McDonald; Chris Bates; Seb Bacon; Alex J Walker; David Evans; Peter Inglesby; Amir Mehrkar; Helen J Curtis; Nicholas J DeVito; Richard Croker; Henry Drysdale; Jonathan Cockburn; John Parry; Frank Hester; Sam Harper; Ian J Douglas; Laurie Tomlinson; Stephen J W Evans; Richard Grieve; David Harrison; Kathy Rowan; Kamlesh Khunti; Nishi Chaturvedi; Liam Smeeth; Ben Goldacre
Journal:  Lancet       Date:  2021-04-30       Impact factor: 202.731

6.  SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic.

Authors:  Helen Ward; Christina Atchison; Matthew Whitaker; Kylie E C Ainslie; Joshua Elliott; Lucy Okell; Rozlyn Redd; Deborah Ashby; Christl A Donnelly; Wendy Barclay; Ara Darzi; Graham Cooke; Steven Riley; Paul Elliott
Journal:  Nat Commun       Date:  2021-02-10       Impact factor: 14.919

  6 in total
  2 in total

1.  Reductions in hospital care among clinically vulnerable children aged 0-4 years during the COVID-19 pandemic.

Authors:  David Etoori; Katie L Harron; Louise Mc Grath-Lone; Maximiliane L Verfürden; Ruth Gilbert; Ruth Blackburn
Journal:  Arch Dis Child       Date:  2022-06-21       Impact factor: 4.920

Review 2.  T Cell Epitope Discovery in the Context of Distinct and Unique Indigenous HLA Profiles.

Authors:  Luca Hensen; Patricia T Illing; Louise C Rowntree; Jane Davies; Adrian Miller; Steven Y C Tong; Jennifer R Habel; Carolien E van de Sandt; Katie L Flanagan; Anthony W Purcell; Katherine Kedzierska; E Bridie Clemens
Journal:  Front Immunol       Date:  2022-05-06       Impact factor: 8.786

  2 in total

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