A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19.

COVID-19 Case-control study Comorbidities Deprivation Ethnicity

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
Nov 2020
Historique:
pubmed: 15 10 2020
medline: 15 10 2020
entrez: 14 10 2020
Statut: ppublish

Résumé

People of minority ethnic backgrounds may be disproportionately affected by severe COVID-19. Whether this relates to increased infection risk, more severe disease progression, or worse in-hospital survival is unknown. The contribution of comorbidities or socioeconomic deprivation to ethnic patterning of outcomes is also unclear. We conducted a case-control and a cohort study in an inner city primary and secondary care setting to examine whether ethnic background affects the risk of hospital admission with severe COVID-19 and/or in-hospital mortality. Inner city adult residents admitted to hospital with confirmed COVID-19 ( The 872 cases comprised 48.1% Black, 33.7% White, 12.6% Mixed/Other and 5.6% Asian patients. In conditional logistic regression analyses, Black and Mixed/Other ethnicity were associated with higher admission risk than white (OR 3.12 [95% CI 2.63-3.71] and 2.97 [2.30-3.85] respectively). Adjustment for comorbidities and deprivation modestly attenuated the association (OR 2.24 [1.83-2.74] for Black, 2.70 [2.03-3.59] for Mixed/Other). Asian ethnicity was not associated with higher admission risk (adjusted OR 1.01 [0.70-1.46]). In the cohort study of 1827 patients, 455 (28.9%) died over a median (IQR) of 8 (4-16) days. Age and male sex, but not Black (adjusted HR 1.06 [0.82-1.37]) or Mixed/Other ethnicity (adjusted HR 0.72 [0.47-1.10]), were associated with in-hospital mortality. Asian ethnicity was associated with higher in-hospital mortality but with a large confidence interval (adjusted HR 1.71 [1.15-2.56]). Black and Mixed ethnicity are independently associated with greater admission risk with COVID-19 and may be risk factors for development of severe disease, but do not affect in-hospital mortality risk. Comorbidities and socioeconomic factors only partly account for this and additional ethnicity-related factors may play a large role. The impact of COVID-19 may be different in Asians. British Heart Foundation; the National Institute for Health Research; Health Data Research UK.

Sections du résumé

BACKGROUND BACKGROUND
People of minority ethnic backgrounds may be disproportionately affected by severe COVID-19. Whether this relates to increased infection risk, more severe disease progression, or worse in-hospital survival is unknown. The contribution of comorbidities or socioeconomic deprivation to ethnic patterning of outcomes is also unclear.
METHODS METHODS
We conducted a case-control and a cohort study in an inner city primary and secondary care setting to examine whether ethnic background affects the risk of hospital admission with severe COVID-19 and/or in-hospital mortality. Inner city adult residents admitted to hospital with confirmed COVID-19 (
FINDINGS RESULTS
The 872 cases comprised 48.1% Black, 33.7% White, 12.6% Mixed/Other and 5.6% Asian patients. In conditional logistic regression analyses, Black and Mixed/Other ethnicity were associated with higher admission risk than white (OR 3.12 [95% CI 2.63-3.71] and 2.97 [2.30-3.85] respectively). Adjustment for comorbidities and deprivation modestly attenuated the association (OR 2.24 [1.83-2.74] for Black, 2.70 [2.03-3.59] for Mixed/Other). Asian ethnicity was not associated with higher admission risk (adjusted OR 1.01 [0.70-1.46]). In the cohort study of 1827 patients, 455 (28.9%) died over a median (IQR) of 8 (4-16) days. Age and male sex, but not Black (adjusted HR 1.06 [0.82-1.37]) or Mixed/Other ethnicity (adjusted HR 0.72 [0.47-1.10]), were associated with in-hospital mortality. Asian ethnicity was associated with higher in-hospital mortality but with a large confidence interval (adjusted HR 1.71 [1.15-2.56]).
INTERPRETATION CONCLUSIONS
Black and Mixed ethnicity are independently associated with greater admission risk with COVID-19 and may be risk factors for development of severe disease, but do not affect in-hospital mortality risk. Comorbidities and socioeconomic factors only partly account for this and additional ethnicity-related factors may play a large role. The impact of COVID-19 may be different in Asians.
FUNDING BACKGROUND
British Heart Foundation; the National Institute for Health Research; Health Data Research UK.

Identifiants

pubmed: 33052324
doi: 10.1016/j.eclinm.2020.100574
pii: S2589-5370(20)30318-7
pmc: PMC7545271
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100574

Subventions

Organisme : Medical Research Council
ID : MC_PC_17214
Pays : United Kingdom
Organisme : Department of Health
ID : RP-PG-0407-10314
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M501633/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K006584/1
Pays : United Kingdom
Organisme : Alzheimer's Society
ID : 171
Pays : United Kingdom
Organisme : Department of Health
ID : 05/40/04
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_13041
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0902393
Pays : United Kingdom

Informations de copyright

© 2020 The Author(s).

Déclaration de conflit d'intérêts

JTHT received research funding from Innovate UK & Office of Life Sciences, and iRhythm Technologies, and holds shares <£5000 in Glaxo Smithkline and Biogen. The other authors declare no competing interests.

Références

JAMA. 2020 Apr 7;323(13):1239-1242
pubmed: 32091533
N Engl J Med. 2020 Mar 26;382(13):1199-1207
pubmed: 31995857
PLoS One. 2019 Nov 25;14(11):e0225625
pubmed: 31765395
Am J Public Health. 2000 Nov;90(11):1694-8
pubmed: 11076232
EClinicalMedicine. 2020 Sep;26:100513
pubmed: 32838245
Int J Epidemiol. 2012 Feb;41(1):33-42
pubmed: 21044979
BMJ. 2016 Feb 25;352:i969
pubmed: 26916049
JAMA. 2020 Jun 23;323(24):2466-2467
pubmed: 32391864
N Engl J Med. 2020 Jun 25;382(26):2534-2543
pubmed: 32459916
Lancet. 2020 May 30;395(10238):1705-1714
pubmed: 32416785
JAMA. 2020 May 26;323(20):2052-2059
pubmed: 32320003
Lancet. 2020 Mar 28;395(10229):1054-1062
pubmed: 32171076
Cell. 2016 Oct 20;167(3):657-669.e21
pubmed: 27768889
J Am Coll Cardiol. 2013 Apr 30;61(17):1777-86
pubmed: 23500273
Stat Med. 1999 Mar 30;18(6):681-94
pubmed: 10204197
EClinicalMedicine. 2020 Jun 03;23:100404
pubmed: 32632416
BMC Med Inform Decis Mak. 2018 Jun 25;18(1):47
pubmed: 29941004
Cancer Treat Res. 1995;75:95-112
pubmed: 7640169
Trends Immunol. 2019 Dec;40(12):1105-1119
pubmed: 31786023
Nat Commun. 2020 Nov 12;11(1):5749
pubmed: 33184277
JAMA. 2000 May 3;283(17):2253-9
pubmed: 10807384
Nature. 2020 Aug;584(7821):430-436
pubmed: 32640463
JAMA. 2020 Jun 2;323(21):2192-2195
pubmed: 32347898
EClinicalMedicine. 2020 Aug;25:100466
pubmed: 32840492
Lancet Infect Dis. 2020 Sep;20(9):1034-1042
pubmed: 32422204
JAMA Intern Med. 2020 Aug 17;:
pubmed: 32804192
Diabetes Res Clin Pract. 2020 Jan;159:107984
pubmed: 31846667
Lancet. 2020 May 2;395(10234):1421-1422
pubmed: 32330427
Eur J Heart Fail. 2020 Jun;22(6):967-974
pubmed: 32485082

Auteurs

Rosita Zakeri (R)

School of Cardiovascular Medicine and Sciences, James Black Centre, King's College London British Heart Foundation Centre, 125 Coldharbour Lane, London SE5 9NU, UK.

Rebecca Bendayan (R)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK.

Mark Ashworth (M)

School of Population Health and Environmental Sciences, King's College London, UK.

Daniel M Bean (DM)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.

Hiten Dodhia (H)

School of Population Health and Environmental Sciences, King's College London, UK.

Stevo Durbaba (S)

School of Population Health and Environmental Sciences, King's College London, UK.

Kevin O'Gallagher (K)

School of Cardiovascular Medicine and Sciences, James Black Centre, King's College London British Heart Foundation Centre, 125 Coldharbour Lane, London SE5 9NU, UK.

Claire Palmer (C)

King's College Hospital NHS Foundation Trust, London, UK.

Vasa Curcin (V)

School of Population Health and Environmental Sciences, King's College London, UK.

Elizabeth Aitken (E)

Lewisham and Greenwich NHS Trust, London, UK.

William Bernal (W)

King's College Hospital NHS Foundation Trust, London, UK.

Richard D Barker (RD)

King's College Hospital NHS Foundation Trust, London, UK.

Sam Norton (S)

Centre for Rheumatic Disease, School of Immunology and Microbial Sciences, King's College London, UK.

Martin Gulliford (M)

School of Population Health and Environmental Sciences, King's College London, UK.

James T H Teo (JTH)

King's College Hospital NHS Foundation Trust, London, UK.

James Galloway (J)

Centre for Rheumatic Disease, School of Immunology and Microbial Sciences, King's College London, UK.

Richard J B Dobson (RJB)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Health Data Research UK London, Institute of Health Informatics, University College London, UK.

Ajay M Shah (AM)

School of Cardiovascular Medicine and Sciences, James Black Centre, King's College London British Heart Foundation Centre, 125 Coldharbour Lane, London SE5 9NU, UK.
King's College Hospital NHS Foundation Trust, London, UK.

Classifications MeSH