Rohini Mathur1, Christopher T Rentsch2, Caroline E Morton3, Rosalind M Eggo4, Krishnan Bhaskaran2, Laurie Tomlinsonn2, Liam Smeeth2, Ben Goldacre3. 1. Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1 7HT, UK. Electronic address: rohini.mathur@lshtm.ac.uk. 2. Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1 7HT, UK. 3. The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. 4. Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1 7HT, UK.
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, 7We 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.
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
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
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
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
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
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
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