Racial Disparities in Incidence and Outcomes Among Patients With COVID-19.
Identifieur interne : 000298 ( Main/Exploration ); précédent : 000297; suivant : 000299Racial Disparities in Incidence and Outcomes Among Patients With COVID-19.
Auteurs : L Silvia Mu Oz-Price ; Ann B. Nattinger ; Frida Rivera ; Ryan Hanson [États-Unis] ; Cameron G. Gmehlin ; Adriana Perez ; Siddhartha Singh ; Blake W. Buchan ; Nathan A. Ledeboer ; Liliana E. PezzinSource :
- JAMA network open [ 2574-3805 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Afro-Américains (MeSH), Betacoronavirus (MeSH), Comorbidité (MeSH), Disparités de l'état de santé (MeSH), Dyspnée (épidémiologie), Dyspnée (étiologie), Femelle (MeSH), Hospitalisation (MeSH), Humains (MeSH), Incidence (MeSH), Indice de masse corporelle (MeSH), Infections à coronavirus (complications), Infections à coronavirus (ethnologie), Infections à coronavirus (mortalité), Infections à coronavirus (virologie), Minorités (MeSH), Mâle (MeSH), Odds ratio (MeSH), Pandémies (MeSH), Pauvreté (MeSH), Pneumopathie virale (complications), Pneumopathie virale (ethnologie), Pneumopathie virale (mortalité), Pneumopathie virale (virologie), Sujet âgé (MeSH), Unités de soins intensifs (MeSH), Ventilation artificielle (MeSH), Wisconsin (épidémiologie), Études de cohortes (MeSH), Études transversales (MeSH).
- MESH :
- ethnologie : Infections à coronavirus, Pneumopathie virale.
- mortalité : Infections à coronavirus, Pneumopathie virale.
- virologie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Dyspnée, Infections à coronavirus, Pneumopathie virale, Wisconsin.
- étiologie : Dyspnée.
- Adulte, Adulte d'âge moyen, Afro-Américains, Betacoronavirus, Comorbidité, Disparités de l'état de santé, Femelle, Hospitalisation, Humains, Incidence, Indice de masse corporelle, Minorités, Mâle, Odds ratio, Pandémies, Pauvreté, Sujet âgé, Unités de soins intensifs, Ventilation artificielle, Études de cohortes, Études transversales.
English descriptors
- KwdEn :
- Adult (MeSH), African Americans (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Body Mass Index (MeSH), Cohort Studies (MeSH), Comorbidity (MeSH), Coronavirus Infections (complications), Coronavirus Infections (ethnology), Coronavirus Infections (mortality), Coronavirus Infections (virology), Cross-Sectional Studies (MeSH), Dyspnea (epidemiology), Dyspnea (etiology), Female (MeSH), Health Status Disparities (MeSH), Hospitalization (MeSH), Humans (MeSH), Incidence (MeSH), Intensive Care Units (MeSH), Male (MeSH), Middle Aged (MeSH), Minority Groups (MeSH), Odds Ratio (MeSH), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (ethnology), Pneumonia, Viral (mortality), Pneumonia, Viral (virology), Poverty (MeSH), Respiration, Artificial (MeSH), Wisconsin (epidemiology).
- MESH :
- geographic , epidemiology : Wisconsin.
- complications : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Dyspnea.
- ethnology : Coronavirus Infections, Pneumonia, Viral.
- etiology : Dyspnea.
- mortality : Coronavirus Infections, Pneumonia, Viral.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Adult, African Americans, Aged, Betacoronavirus, Body Mass Index, Cohort Studies, Comorbidity, Cross-Sectional Studies, Female, Health Status Disparities, Hospitalization, Humans, Incidence, Intensive Care Units, Male, Middle Aged, Minority Groups, Odds Ratio, Pandemics, Poverty, Respiration, Artificial.
Abstract
Importance
Initial public health data show that Black race may be a risk factor for worse outcomes of coronavirus disease 2019 (COVID-19).
Objective
To characterize the association of race with incidence and outcomes of COVID-19, while controlling for age, sex, socioeconomic status, and comorbidities.
Design, Setting, and Participants
This cross-sectional study included 2595 consecutive adults tested for COVID-19 from March 12 to March 31, 2020, at Froedtert Health and Medical College of Wisconsin (Milwaukee), the largest academic system in Wisconsin, with 879 inpatient beds (of which 128 are intensive care unit beds).
Exposures
Race (Black vs White, Native Hawaiian or Pacific Islander, Native American or Alaska Native, Asian, or unknown).
Main Outcomes and Measures
Main outcomes included COVID-19 positivity, hospitalization, intensive care unit admission, mechanical ventilation, and death. Additional independent variables measured and tested included socioeconomic status, sex, and comorbidities. Reverse transcription polymerase chain reaction assay was used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Results
A total of 2595 patients were included. The mean (SD) age was 53.8 (17.5) years, 978 (37.7%) were men, and 785 (30.2%) were African American patients. Of the 369 patients (14.2%) who tested positive for COVID-19, 170 (46.1%) were men, 148 (40.1%) were aged 60 years or older, and 218 (59.1%) were African American individuals. Positive tests were associated with Black race (odds ratio [OR], 5.37; 95% CI, 3.94-7.29; P = .001), male sex (OR, 1.55; 95% CI, 1.21-2.00; P = .001), and age 60 years or older (OR, 2.04; 95% CI, 1.53-2.73; P = .001). Zip code of residence explained 79% of the overall variance in COVID-19 positivity in the cohort (ρ = 0.79; 95% CI, 0.58-0.91). Adjusting for zip code of residence, Black race (OR, 1.85; 95% CI, 1.00-3.65; P = .04) and poverty (OR, 3.84; 95% CI, 1.20-12.30; P = .02) were associated with hospitalization. Poverty (OR, 3.58; 95% CI, 1.08-11.80; P = .04) but not Black race (OR, 1.52; 95% CI, 0.75-3.07; P = .24) was associated with intensive care unit admission. Overall, 20 (17.2%) deaths associated with COVID-19 were reported. Shortness of breath at presentation (OR, 10.67; 95% CI, 1.52-25.54; P = .02), higher body mass index (OR per unit of body mass index, 1.19; 95% CI, 1.05-1.35; P = .006), and age 60 years or older (OR, 22.79; 95% CI, 3.38-53.81; P = .001) were associated with an increased likelihood of death.
Conclusions and Relevance
In this cross-sectional study of adults tested for COVID-19 in a large midwestern academic health system, COVID-19 positivity was associated with Black race. Among patients with COVID-19, both race and poverty were associated with higher risk of hospitalization, but only poverty was associated with higher risk of intensive care unit admission. These findings can be helpful in targeting mitigation strategies for racial disparities in the incidence and outcomes of COVID-19.
DOI: 10.1001/jamanetworkopen.2020.21892
PubMed: 32975575
PubMed Central: PMC7519420
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Nattinger</name><affiliation><nlm:affiliation>Division of General Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Rivera, Frida" sort="Rivera, Frida" uniqKey="Rivera F" first="Frida" last="Rivera">Frida Rivera</name><affiliation><nlm:affiliation>Division of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Hanson, Ryan" sort="Hanson, Ryan" uniqKey="Hanson R" first="Ryan" last="Hanson">Ryan Hanson</name><affiliation><nlm:affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation><affiliation wicri:level="2"><nlm:affiliation>Froedtert Health, Milwaukee, Wisconsin.</nlm:affiliation><country xml:lang="fr">États-Unis</country><placeName><region type="state">Wisconsin</region></placeName><wicri:cityArea>Froedtert Health, Milwaukee</wicri:cityArea></affiliation></author><author><name sortKey="Gmehlin, Cameron G" sort="Gmehlin, Cameron G" uniqKey="Gmehlin C" first="Cameron G" last="Gmehlin">Cameron G. Gmehlin</name><affiliation><nlm:affiliation>School of Medicine, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Perez, Adriana" sort="Perez, Adriana" uniqKey="Perez A" first="Adriana" last="Perez">Adriana Perez</name><affiliation><nlm:affiliation>School of Medicine, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Singh, Siddhartha" sort="Singh, Siddhartha" uniqKey="Singh S" first="Siddhartha" last="Singh">Siddhartha Singh</name><affiliation><nlm:affiliation>Division of General Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Buchan, Blake W" sort="Buchan, Blake W" uniqKey="Buchan B" first="Blake W" last="Buchan">Blake W. Buchan</name><affiliation><nlm:affiliation>Department of Pathology, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Ledeboer, Nathan A" sort="Ledeboer, Nathan A" uniqKey="Ledeboer N" first="Nathan A" last="Ledeboer">Nathan A. Ledeboer</name><affiliation><nlm:affiliation>Department of Pathology, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author><author><name sortKey="Pezzin, Liliana E" sort="Pezzin, Liliana E" uniqKey="Pezzin L" first="Liliana E" last="Pezzin">Liliana E. Pezzin</name><affiliation><nlm:affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation><affiliation><nlm:affiliation>Institute for Health and Equity, Medical College of Wisconsin, Milwaukee.</nlm:affiliation><wicri:noCountry code="subField">Milwaukee</wicri:noCountry></affiliation></author></analytic><series><title level="j">JAMA network open</title><idno type="eISSN">2574-3805</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>African Americans (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Body Mass Index (MeSH)</term><term>Cohort Studies (MeSH)</term><term>Comorbidity (MeSH)</term><term>Coronavirus Infections (complications)</term><term>Coronavirus Infections (ethnology)</term><term>Coronavirus Infections (mortality)</term><term>Coronavirus Infections (virology)</term><term>Cross-Sectional Studies (MeSH)</term><term>Dyspnea (epidemiology)</term><term>Dyspnea (etiology)</term><term>Female (MeSH)</term><term>Health Status Disparities (MeSH)</term><term>Hospitalization (MeSH)</term><term>Humans (MeSH)</term><term>Incidence (MeSH)</term><term>Intensive Care Units (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Minority Groups (MeSH)</term><term>Odds Ratio (MeSH)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (complications)</term><term>Pneumonia, Viral (ethnology)</term><term>Pneumonia, Viral (mortality)</term><term>Pneumonia, Viral (virology)</term><term>Poverty (MeSH)</term><term>Respiration, Artificial (MeSH)</term><term>Wisconsin (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Afro-Américains (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Comorbidité (MeSH)</term><term>Disparités de l'état de santé (MeSH)</term><term>Dyspnée (épidémiologie)</term><term>Dyspnée (étiologie)</term><term>Femelle (MeSH)</term><term>Hospitalisation (MeSH)</term><term>Humains (MeSH)</term><term>Incidence (MeSH)</term><term>Indice de masse corporelle (MeSH)</term><term>Infections à coronavirus (complications)</term><term>Infections à coronavirus (ethnologie)</term><term>Infections à coronavirus (mortalité)</term><term>Infections à coronavirus (virologie)</term><term>Minorités (MeSH)</term><term>Mâle (MeSH)</term><term>Odds ratio (MeSH)</term><term>Pandémies (MeSH)</term><term>Pauvreté (MeSH)</term><term>Pneumopathie virale (complications)</term><term>Pneumopathie virale (ethnologie)</term><term>Pneumopathie virale (mortalité)</term><term>Pneumopathie virale (virologie)</term><term>Sujet âgé (MeSH)</term><term>Unités de soins intensifs (MeSH)</term><term>Ventilation artificielle (MeSH)</term><term>Wisconsin (épidémiologie)</term><term>Études de cohortes (MeSH)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Wisconsin</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Dyspnea</term></keywords><keywords scheme="MESH" qualifier="ethnologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="ethnology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Dyspnea</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Dyspnée</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Wisconsin</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Dyspnée</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>African Americans</term><term>Aged</term><term>Betacoronavirus</term><term>Body Mass Index</term><term>Cohort Studies</term><term>Comorbidity</term><term>Cross-Sectional Studies</term><term>Female</term><term>Health Status Disparities</term><term>Hospitalization</term><term>Humans</term><term>Incidence</term><term>Intensive Care Units</term><term>Male</term><term>Middle Aged</term><term>Minority Groups</term><term>Odds Ratio</term><term>Pandemics</term><term>Poverty</term><term>Respiration, Artificial</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Afro-Américains</term><term>Betacoronavirus</term><term>Comorbidité</term><term>Disparités de l'état de santé</term><term>Femelle</term><term>Hospitalisation</term><term>Humains</term><term>Incidence</term><term>Indice de masse corporelle</term><term>Minorités</term><term>Mâle</term><term>Odds ratio</term><term>Pandémies</term><term>Pauvreté</term><term>Sujet âgé</term><term>Unités de soins intensifs</term><term>Ventilation artificielle</term><term>Études de cohortes</term><term>Études transversales</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>Importance</b></p><p>Initial public health data show that Black race may be a risk factor for worse outcomes of coronavirus disease 2019 (COVID-19).</p></div><div type="abstract" xml:lang="en"><p><b>Objective</b></p><p>To characterize the association of race with incidence and outcomes of COVID-19, while controlling for age, sex, socioeconomic status, and comorbidities.</p></div><div type="abstract" xml:lang="en"><p><b>Design, Setting, and Participants</b></p><p>This cross-sectional study included 2595 consecutive adults tested for COVID-19 from March 12 to March 31, 2020, at Froedtert Health and Medical College of Wisconsin (Milwaukee), the largest academic system in Wisconsin, with 879 inpatient beds (of which 128 are intensive care unit beds).</p></div><div type="abstract" xml:lang="en"><p><b>Exposures</b></p><p>Race (Black vs White, Native Hawaiian or Pacific Islander, Native American or Alaska Native, Asian, or unknown).</p></div><div type="abstract" xml:lang="en"><p><b>Main Outcomes and Measures</b></p><p>Main outcomes included COVID-19 positivity, hospitalization, intensive care unit admission, mechanical ventilation, and death. Additional independent variables measured and tested included socioeconomic status, sex, and comorbidities. Reverse transcription polymerase chain reaction assay was used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).</p></div><div type="abstract" xml:lang="en"><p><b>Results</b></p><p>A total of 2595 patients were included. The mean (SD) age was 53.8 (17.5) years, 978 (37.7%) were men, and 785 (30.2%) were African American patients. Of the 369 patients (14.2%) who tested positive for COVID-19, 170 (46.1%) were men, 148 (40.1%) were aged 60 years or older, and 218 (59.1%) were African American individuals. Positive tests were associated with Black race (odds ratio [OR], 5.37; 95% CI, 3.94-7.29; P = .001), male sex (OR, 1.55; 95% CI, 1.21-2.00; P = .001), and age 60 years or older (OR, 2.04; 95% CI, 1.53-2.73; P = .001). Zip code of residence explained 79% of the overall variance in COVID-19 positivity in the cohort (ρ = 0.79; 95% CI, 0.58-0.91). Adjusting for zip code of residence, Black race (OR, 1.85; 95% CI, 1.00-3.65; P = .04) and poverty (OR, 3.84; 95% CI, 1.20-12.30; P = .02) were associated with hospitalization. Poverty (OR, 3.58; 95% CI, 1.08-11.80; P = .04) but not Black race (OR, 1.52; 95% CI, 0.75-3.07; P = .24) was associated with intensive care unit admission. Overall, 20 (17.2%) deaths associated with COVID-19 were reported. Shortness of breath at presentation (OR, 10.67; 95% CI, 1.52-25.54; P = .02), higher body mass index (OR per unit of body mass index, 1.19; 95% CI, 1.05-1.35; P = .006), and age 60 years or older (OR, 22.79; 95% CI, 3.38-53.81; P = .001) were associated with an increased likelihood of death.</p></div><div type="abstract" xml:lang="en"><p><b>Conclusions and Relevance</b></p><p>In this cross-sectional study of adults tested for COVID-19 in a large midwestern academic health system, COVID-19 positivity was associated with Black race. Among patients with COVID-19, both race and poverty were associated with higher risk of hospitalization, but only poverty was associated with higher risk of intensive care unit admission. These findings can be helpful in targeting mitigation strategies for racial disparities in the incidence and outcomes of COVID-19.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32975575</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>07</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>07</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2574-3805</ISSN><JournalIssue CitedMedium="Internet"><Volume>3</Volume><Issue>9</Issue><PubDate><Year>2020</Year><Month>09</Month><Day>01</Day></PubDate></JournalIssue><Title>JAMA network open</Title><ISOAbbreviation>JAMA Netw Open</ISOAbbreviation></Journal><ArticleTitle>Racial Disparities in Incidence and Outcomes Among Patients With COVID-19.</ArticleTitle><Pagination><MedlinePgn>e2021892</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1001/jamanetworkopen.2020.21892</ELocationID><Abstract><AbstractText Label="Importance">Initial public health data show that Black race may be a risk factor for worse outcomes of coronavirus disease 2019 (COVID-19).</AbstractText><AbstractText Label="Objective">To characterize the association of race with incidence and outcomes of COVID-19, while controlling for age, sex, socioeconomic status, and comorbidities.</AbstractText><AbstractText Label="Design, Setting, and Participants">This cross-sectional study included 2595 consecutive adults tested for COVID-19 from March 12 to March 31, 2020, at Froedtert Health and Medical College of Wisconsin (Milwaukee), the largest academic system in Wisconsin, with 879 inpatient beds (of which 128 are intensive care unit beds).</AbstractText><AbstractText Label="Exposures">Race (Black vs White, Native Hawaiian or Pacific Islander, Native American or Alaska Native, Asian, or unknown).</AbstractText><AbstractText Label="Main Outcomes and Measures">Main outcomes included COVID-19 positivity, hospitalization, intensive care unit admission, mechanical ventilation, and death. Additional independent variables measured and tested included socioeconomic status, sex, and comorbidities. Reverse transcription polymerase chain reaction assay was used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).</AbstractText><AbstractText Label="Results">A total of 2595 patients were included. The mean (SD) age was 53.8 (17.5) years, 978 (37.7%) were men, and 785 (30.2%) were African American patients. Of the 369 patients (14.2%) who tested positive for COVID-19, 170 (46.1%) were men, 148 (40.1%) were aged 60 years or older, and 218 (59.1%) were African American individuals. Positive tests were associated with Black race (odds ratio [OR], 5.37; 95% CI, 3.94-7.29; P = .001), male sex (OR, 1.55; 95% CI, 1.21-2.00; P = .001), and age 60 years or older (OR, 2.04; 95% CI, 1.53-2.73; P = .001). Zip code of residence explained 79% of the overall variance in COVID-19 positivity in the cohort (ρ = 0.79; 95% CI, 0.58-0.91). Adjusting for zip code of residence, Black race (OR, 1.85; 95% CI, 1.00-3.65; P = .04) and poverty (OR, 3.84; 95% CI, 1.20-12.30; P = .02) were associated with hospitalization. Poverty (OR, 3.58; 95% CI, 1.08-11.80; P = .04) but not Black race (OR, 1.52; 95% CI, 0.75-3.07; P = .24) was associated with intensive care unit admission. Overall, 20 (17.2%) deaths associated with COVID-19 were reported. Shortness of breath at presentation (OR, 10.67; 95% CI, 1.52-25.54; P = .02), higher body mass index (OR per unit of body mass index, 1.19; 95% CI, 1.05-1.35; P = .006), and age 60 years or older (OR, 22.79; 95% CI, 3.38-53.81; P = .001) were associated with an increased likelihood of death.</AbstractText><AbstractText Label="Conclusions and Relevance">In this cross-sectional study of adults tested for COVID-19 in a large midwestern academic health system, COVID-19 positivity was associated with Black race. Among patients with COVID-19, both race and poverty were associated with higher risk of hospitalization, but only poverty was associated with higher risk of intensive care unit admission. These findings can be helpful in targeting mitigation strategies for racial disparities in the incidence and outcomes of COVID-19.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Muñoz-Price</LastName><ForeName>L Silvia</ForeName><Initials>LS</Initials><AffiliationInfo><Affiliation>Division of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nattinger</LastName><ForeName>Ann B</ForeName><Initials>AB</Initials><AffiliationInfo><Affiliation>Division of General Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rivera</LastName><ForeName>Frida</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Division of Infectious Diseases, Department of Medicine, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hanson</LastName><ForeName>Ryan</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Froedtert Health, Milwaukee, Wisconsin.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gmehlin</LastName><ForeName>Cameron G</ForeName><Initials>CG</Initials><AffiliationInfo><Affiliation>School of Medicine, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Perez</LastName><ForeName>Adriana</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>School of Medicine, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Siddhartha</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Division of General Medicine, Department of Medicine, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Buchan</LastName><ForeName>Blake W</ForeName><Initials>BW</Initials><AffiliationInfo><Affiliation>Department of Pathology, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ledeboer</LastName><ForeName>Nathan A</ForeName><Initials>NA</Initials><AffiliationInfo><Affiliation>Department of Pathology, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pezzin</LastName><ForeName>Liliana E</ForeName><Initials>LE</Initials><AffiliationInfo><Affiliation>Collaborative for Healthcare Delivery Science, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Institute for Health and Equity, Medical College of Wisconsin, Milwaukee.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>01</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>JAMA Netw Open</MedlineTA><NlmUniqueID>101729235</NlmUniqueID><ISSNLinking>2574-3805</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>JAMA Netw Open. 2020 Sep 1;3(9):e2019933</RefSource><PMID Version="1">32975568</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001741" MajorTopicYN="Y">African Americans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015992" MajorTopicYN="N">Body Mass Index</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015331" MajorTopicYN="N">Cohort Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000208" MajorTopicYN="Y">ethnology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004417" MajorTopicYN="N">Dyspnea</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D054624" MajorTopicYN="Y">Health Status Disparities</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="Y">Hospitalization</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007362" MajorTopicYN="Y">Intensive Care Units</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008913" MajorTopicYN="N">Minority Groups</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016017" MajorTopicYN="N">Odds Ratio</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" 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Buchan</name><name sortKey="Gmehlin, Cameron G" sort="Gmehlin, Cameron G" uniqKey="Gmehlin C" first="Cameron G" last="Gmehlin">Cameron G. Gmehlin</name><name sortKey="Ledeboer, Nathan A" sort="Ledeboer, Nathan A" uniqKey="Ledeboer N" first="Nathan A" last="Ledeboer">Nathan A. Ledeboer</name><name sortKey="Mu Oz Price, L Silvia" sort="Mu Oz Price, L Silvia" uniqKey="Mu Oz Price L" first="L Silvia" last="Mu Oz-Price">L Silvia Mu Oz-Price</name><name sortKey="Nattinger, Ann B" sort="Nattinger, Ann B" uniqKey="Nattinger A" first="Ann B" last="Nattinger">Ann B. Nattinger</name><name sortKey="Perez, Adriana" sort="Perez, Adriana" uniqKey="Perez A" first="Adriana" last="Perez">Adriana Perez</name><name sortKey="Pezzin, Liliana E" sort="Pezzin, Liliana E" uniqKey="Pezzin L" first="Liliana E" last="Pezzin">Liliana E. Pezzin</name><name sortKey="Rivera, Frida" sort="Rivera, Frida" uniqKey="Rivera F" first="Frida" last="Rivera">Frida Rivera</name><name sortKey="Singh, Siddhartha" sort="Singh, Siddhartha" uniqKey="Singh S" first="Siddhartha" last="Singh">Siddhartha Singh</name></noCountry><country name="États-Unis"><region name="Wisconsin"><name sortKey="Hanson, Ryan" sort="Hanson, Ryan" uniqKey="Hanson R" first="Ryan" last="Hanson">Ryan Hanson</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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