Covid-19 by Race and Ethnicity: A National Cohort Study of 6 Million United States Veterans.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
18 May 2020
Historique:
entrez: 9 6 2020
pubmed: 9 6 2020
medline: 9 6 2020
Statut: epublish

Résumé

There is growing concern that racial and ethnic minority communities around the world are experiencing a disproportionate burden of morbidity and mortality from symptomatic SARS-Cov-2 infection or coronavirus disease 2019 (Covid-19). Most studies investigating racial and ethnic disparities to date have focused on hospitalized patients or have not characterized who received testing or those who tested positive for Covid-19. To compare patterns of testing and test results for coronavirus 2019 (Covid-19) and subsequent mortality by race and ethnicity in the largest integrated healthcare system in the United States. Retrospective cohort study. United States Department of Veterans Affairs (VA). 5,834,543 individuals in care, among whom 62,098 were tested and 5,630 tested positive for Covid-19 between February 8 and May 4, 2020. Exposures: Self-reported race/ethnicity. We evaluated associations between race/ethnicity and receipt of Covid-19 testing, a positive test result, and 30-day mortality, accounting for a wide range of demographic and clinical risk factors including comorbid conditions, site of care, and urban versus rural residence. Among all individuals in care, 74% were non-Hispanic white (white), 19% non-Hispanic black (black), and 7% Hispanic. Compared with white individuals, black and Hispanic individuals were more likely to be tested for Covid-19 (tests per 1000: white=9.0, [95% CI 8.9 to 9.1]; black=16.4, [16.2 to 16.7]; and Hispanic=12.2, [11.9 to 12.5]). While individuals from minority backgrounds were more likely to test positive (black vs white: OR 1.96, 95% CI 1.81 to 2.12; Hispanic vs white: OR 1.73, 95% CI 1.53 to 1.96), 30-day mortality did not differ by race/ethnicity (black vs white: OR 0.93, 95% CI 0.64 to 1.33; Hispanic vs white: OR 1.07, 95% CI 0.61 to 1.87). Black and Hispanic individuals are experiencing an excess burden of Covid-19 not entirely explained by underlying medical conditions or where they live or receive care. While there was no observed difference in mortality by race or ethnicity, our findings may underestimate risk in the broader US population as health disparities tend to be reduced in VA.

Sections du résumé

BACKGROUND BACKGROUND
There is growing concern that racial and ethnic minority communities around the world are experiencing a disproportionate burden of morbidity and mortality from symptomatic SARS-Cov-2 infection or coronavirus disease 2019 (Covid-19). Most studies investigating racial and ethnic disparities to date have focused on hospitalized patients or have not characterized who received testing or those who tested positive for Covid-19.
OBJECTIVE OBJECTIVE
To compare patterns of testing and test results for coronavirus 2019 (Covid-19) and subsequent mortality by race and ethnicity in the largest integrated healthcare system in the United States.
DESIGN METHODS
Retrospective cohort study.
SETTING METHODS
United States Department of Veterans Affairs (VA).
PARTICIPANTS METHODS
5,834,543 individuals in care, among whom 62,098 were tested and 5,630 tested positive for Covid-19 between February 8 and May 4, 2020. Exposures: Self-reported race/ethnicity.
MAIN OUTCOME MEASURES METHODS
We evaluated associations between race/ethnicity and receipt of Covid-19 testing, a positive test result, and 30-day mortality, accounting for a wide range of demographic and clinical risk factors including comorbid conditions, site of care, and urban versus rural residence.
RESULTS RESULTS
Among all individuals in care, 74% were non-Hispanic white (white), 19% non-Hispanic black (black), and 7% Hispanic. Compared with white individuals, black and Hispanic individuals were more likely to be tested for Covid-19 (tests per 1000: white=9.0, [95% CI 8.9 to 9.1]; black=16.4, [16.2 to 16.7]; and Hispanic=12.2, [11.9 to 12.5]). While individuals from minority backgrounds were more likely to test positive (black vs white: OR 1.96, 95% CI 1.81 to 2.12; Hispanic vs white: OR 1.73, 95% CI 1.53 to 1.96), 30-day mortality did not differ by race/ethnicity (black vs white: OR 0.93, 95% CI 0.64 to 1.33; Hispanic vs white: OR 1.07, 95% CI 0.61 to 1.87).
CONCLUSIONS CONCLUSIONS
Black and Hispanic individuals are experiencing an excess burden of Covid-19 not entirely explained by underlying medical conditions or where they live or receive care. While there was no observed difference in mortality by race or ethnicity, our findings may underestimate risk in the broader US population as health disparities tend to be reduced in VA.

Identifiants

pubmed: 32511524
doi: 10.1101/2020.05.12.20099135
pmc: PMC7273292
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States
Organisme : NIAAA NIH HHS
ID : U01 AA026224
Pays : United States
Organisme : NIAAA NIH HHS
ID : U10 AA013566
Pays : United States
Organisme : NIAAA NIH HHS
ID : U01 AA020790
Pays : United States
Organisme : NIAAA NIH HHS
ID : U24 AA020794
Pays : United States

Commentaires et corrections

Type : UpdateIn

Auteurs

Christopher T Rentsch (CT)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK, WC1E 7HT.

Farah Kidwai-Khan (F)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US, 06520.

Janet P Tate (JP)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US, 06520.

Lesley S Park (LS)

Stanford Center for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, US, 94305.

Joseph T King (JT)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Neurosurgery, Yale School of Medicine, New Haven, CT, US, 06520.

Melissa Skanderson (M)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.

Ronald G Hauser (RG)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, US, 06520.

Anna Schultze (A)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK, WC1E 7HT.

Christopher I Jarvis (CI)

Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK, WC1E 7HT.

Mark Holodniy (M)

VA Palo Alto Healthcare System, US Department of Veterans Affairs, Palo Alto, CA, US, 94304.
Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, US, 94305.

Vincent Lo Re (VL)

Division of Infectious Diseases, Department of Medicine and Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US, 19104.

Kathleen M Akgün (KM)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US, 06520.

Kristina Crothers (K)

VA Puget Sound Health Care System and Department of Medicine, University of Washington School of Medicine, Seattle, WA, US, 98104.

Tamar H Taddei (TH)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US, 06520.

Matthew S Freiberg (MS)

Geriatric Research Education and Clinical Center (GRECC), US Department of Veterans Affairs, Tennessee Valley Health Care System, Nashville, TN, US 37212.
Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, US, 37232.

Amy C Justice (AC)

VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Department of Internal Medicine, Yale School of Medicine, New Haven, CT, US, 06520.
Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, CT, US, 06511.

Classifications MeSH