Serveur d'exploration sur le Covid à Stanford

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Relationship of socio-demographics, comorbidities, symptoms and healthcare access with early COVID-19 presentation and disease severity.

Identifieur interne : 000033 ( Main/Exploration ); précédent : 000032; suivant : 000034

Relationship of socio-demographics, comorbidities, symptoms and healthcare access with early COVID-19 presentation and disease severity.

Auteurs : Laura Vaughan [États-Unis] ; Darlene Veruttipong [États-Unis] ; Jonathan G. Shaw [États-Unis] ; Noemie Levy [États-Unis] ; Lauren Edwards [États-Unis] ; Marcy Winget [États-Unis]

Source :

RBID : pubmed:33421991

Descripteurs français

English descriptors

Abstract

BACKGROUND

COVID-19 studies are primarily from the inpatient setting, skewing towards severe disease. Race and comorbidities predict hospitalization, however, ambulatory presentation of milder COVID-19 disease and characteristics associated with progression to severe disease is not well-understood.

METHODS

We conducted a retrospective chart review including all COVID-19 positive cases from Stanford Health Care (SHC) in March 2020 to assess demographics, comorbidities and symptoms in relationship to: 1) their access point of testing (outpatient, inpatient, and emergency room (ER)) and 2) development of severe disease.

RESULTS

Two hundred fifty-seven patients tested positive: 127 (49%), 96 (37%), and 34 (13%) at outpatient, ER and inpatient, respectively. Overall, 61% were age < 55; age > 75 was rarer in outpatient setting (11%) than ER (14%) or inpatient (24%). Most patients presented with cough (86%), fever/chills (76%), or fatigue (63%). 65% of inpatients reported shortness of breath compared to 30-32% of outpatients and ER patients. Ethnic/minority patients had a significantly higher risk of developing severe disease (Asian OR = 4.8 [1.6-14.2], Hispanic OR = 3.6 [1.1-11.9]). Medicare-insured patients were marginally more likely (OR = 4.0 [0.9-17.8]). Other factors associated with developing severe disease included kidney disease (OR = 6.1 [1.0-38.1]), cardiovascular disease (OR = 4.7 [1.0-22.1], shortness of breath (OR = 5.4 [2.3-12.6]) and GI symptoms (OR = 3.3 [1.4-7.7]; hypertension without concomitant CVD or kidney disease was marginally significant (OR = 2.3 [0.8-6.5]).

CONCLUSIONS

Early widespread symptomatic testing for COVID-19 in Silicon Valley included many less severely ill patients. Thorough manual review of symptomatology reconfirms the heterogeneity of COVID-19 symptoms, and challenges in using clinical characteristics to predict decline. We re-demonstrate that socio-demographics are consistently associated with severity.


DOI: 10.1186/s12879-021-05764-x
PubMed: 33421991
PubMed Central: PMC7794633


Affiliations:


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Le document en format XML

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<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Asian Continental Ancestry Group (MeSH)</term>
<term>COVID-19 (diagnosis)</term>
<term>COVID-19 (epidemiology)</term>
<term>COVID-19 (ethnology)</term>
<term>COVID-19 Testing (MeSH)</term>
<term>Comorbidity (MeSH)</term>
<term>Cough (MeSH)</term>
<term>Dyspnea (MeSH)</term>
<term>Ethnic Groups (MeSH)</term>
<term>Female (MeSH)</term>
<term>Fever (MeSH)</term>
<term>Health Services Accessibility (MeSH)</term>
<term>Hispanic Americans (MeSH)</term>
<term>Hospitalization (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Medicare (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Minority Groups (MeSH)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Severity of Illness Index (MeSH)</term>
<term>United States (MeSH)</term>
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<term>Accessibilité des services de santé (MeSH)</term>
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<term>Comorbidité (MeSH)</term>
<term>Dyspnée (MeSH)</term>
<term>Ethnies (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Fièvre (MeSH)</term>
<term>Hispano-américain (MeSH)</term>
<term>Hospitalisation (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Medicare (USA) (MeSH)</term>
<term>Minorités (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Population d'origine asiatique (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
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<term>Études rétrospectives (MeSH)</term>
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<term>COVID-19</term>
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<term>COVID-19</term>
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<term>COVID-19</term>
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<term>Adult</term>
<term>Aged</term>
<term>Asian Continental Ancestry Group</term>
<term>COVID-19 Testing</term>
<term>Comorbidity</term>
<term>Cough</term>
<term>Dyspnea</term>
<term>Ethnic Groups</term>
<term>Female</term>
<term>Fever</term>
<term>Health Services Accessibility</term>
<term>Hispanic Americans</term>
<term>Hospitalization</term>
<term>Humans</term>
<term>Male</term>
<term>Medicare</term>
<term>Middle Aged</term>
<term>Minority Groups</term>
<term>Retrospective Studies</term>
<term>Severity of Illness Index</term>
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<term>Accessibilité des services de santé</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Comorbidité</term>
<term>Dyspnée</term>
<term>Ethnies</term>
<term>Femelle</term>
<term>Fièvre</term>
<term>Hispano-américain</term>
<term>Hospitalisation</term>
<term>Humains</term>
<term>Indice de gravité de la maladie</term>
<term>Medicare (USA)</term>
<term>Minorités</term>
<term>Mâle</term>
<term>Population d'origine asiatique</term>
<term>Sujet âgé</term>
<term>Toux</term>
<term>États-Unis</term>
<term>Études rétrospectives</term>
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<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>COVID-19 studies are primarily from the inpatient setting, skewing towards severe disease. Race and comorbidities predict hospitalization, however, ambulatory presentation of milder COVID-19 disease and characteristics associated with progression to severe disease is not well-understood.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>We conducted a retrospective chart review including all COVID-19 positive cases from Stanford Health Care (SHC) in March 2020 to assess demographics, comorbidities and symptoms in relationship to: 1) their access point of testing (outpatient, inpatient, and emergency room (ER)) and 2) development of severe disease.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Two hundred fifty-seven patients tested positive: 127 (49%), 96 (37%), and 34 (13%) at outpatient, ER and inpatient, respectively. Overall, 61% were age < 55; age > 75 was rarer in outpatient setting (11%) than ER (14%) or inpatient (24%). Most patients presented with cough (86%), fever/chills (76%), or fatigue (63%). 65% of inpatients reported shortness of breath compared to 30-32% of outpatients and ER patients. Ethnic/minority patients had a significantly higher risk of developing severe disease (Asian OR = 4.8 [1.6-14.2], Hispanic OR = 3.6 [1.1-11.9]). Medicare-insured patients were marginally more likely (OR = 4.0 [0.9-17.8]). Other factors associated with developing severe disease included kidney disease (OR = 6.1 [1.0-38.1]), cardiovascular disease (OR = 4.7 [1.0-22.1], shortness of breath (OR = 5.4 [2.3-12.6]) and GI symptoms (OR = 3.3 [1.4-7.7]; hypertension without concomitant CVD or kidney disease was marginally significant (OR = 2.3 [0.8-6.5]).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSIONS</b>
</p>
<p>Early widespread symptomatic testing for COVID-19 in Silicon Valley included many less severely ill patients. Thorough manual review of symptomatology reconfirms the heterogeneity of COVID-19 symptoms, and challenges in using clinical characteristics to predict decline. We re-demonstrate that socio-demographics are consistently associated with severity.</p>
</div>
</front>
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<DateCompleted>
<Year>2021</Year>
<Month>01</Month>
<Day>15</Day>
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<Year>2021</Year>
<Month>01</Month>
<Day>15</Day>
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<ISSN IssnType="Electronic">1471-2334</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>21</Volume>
<Issue>1</Issue>
<PubDate>
<Year>2021</Year>
<Month>Jan</Month>
<Day>09</Day>
</PubDate>
</JournalIssue>
<Title>BMC infectious diseases</Title>
<ISOAbbreviation>BMC Infect Dis</ISOAbbreviation>
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<ArticleTitle>Relationship of socio-demographics, comorbidities, symptoms and healthcare access with early COVID-19 presentation and disease severity.</ArticleTitle>
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<MedlinePgn>40</MedlinePgn>
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<Abstract>
<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">COVID-19 studies are primarily from the inpatient setting, skewing towards severe disease. Race and comorbidities predict hospitalization, however, ambulatory presentation of milder COVID-19 disease and characteristics associated with progression to severe disease is not well-understood.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We conducted a retrospective chart review including all COVID-19 positive cases from Stanford Health Care (SHC) in March 2020 to assess demographics, comorbidities and symptoms in relationship to: 1) their access point of testing (outpatient, inpatient, and emergency room (ER)) and 2) development of severe disease.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Two hundred fifty-seven patients tested positive: 127 (49%), 96 (37%), and 34 (13%) at outpatient, ER and inpatient, respectively. Overall, 61% were age < 55; age > 75 was rarer in outpatient setting (11%) than ER (14%) or inpatient (24%). Most patients presented with cough (86%), fever/chills (76%), or fatigue (63%). 65% of inpatients reported shortness of breath compared to 30-32% of outpatients and ER patients. Ethnic/minority patients had a significantly higher risk of developing severe disease (Asian OR = 4.8 [1.6-14.2], Hispanic OR = 3.6 [1.1-11.9]). Medicare-insured patients were marginally more likely (OR = 4.0 [0.9-17.8]). Other factors associated with developing severe disease included kidney disease (OR = 6.1 [1.0-38.1]), cardiovascular disease (OR = 4.7 [1.0-22.1], shortness of breath (OR = 5.4 [2.3-12.6]) and GI symptoms (OR = 3.3 [1.4-7.7]; hypertension without concomitant CVD or kidney disease was marginally significant (OR = 2.3 [0.8-6.5]).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Early widespread symptomatic testing for COVID-19 in Silicon Valley included many less severely ill patients. Thorough manual review of symptomatology reconfirms the heterogeneity of COVID-19 symptoms, and challenges in using clinical characteristics to predict decline. We re-demonstrate that socio-demographics are consistently associated with severity.</AbstractText>
</Abstract>
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<Author ValidYN="Y">
<LastName>Vaughan</LastName>
<ForeName>Laura</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>Division of Primary Care & Population Health, Stanford University School of Medicine, 1265 Welch Rd., Mail Code 5475, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Stanford Primary Care Los Altos, 960 N San Antonio Rd #101, Los Altos, CA, 94022, USA.</Affiliation>
</AffiliationInfo>
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<LastName>Veruttipong</LastName>
<ForeName>Darlene</ForeName>
<Initials>D</Initials>
<AffiliationInfo>
<Affiliation>Division of Primary Care & Population Health, Stanford University School of Medicine, 1265 Welch Rd., Mail Code 5475, Stanford, CA, 94305, USA.</Affiliation>
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<AffiliationInfo>
<Affiliation>Evaluation Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, USA.</Affiliation>
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<ForeName>Jonathan G</ForeName>
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<Affiliation>Division of Primary Care & Population Health, Stanford University School of Medicine, 1265 Welch Rd., Mail Code 5475, Stanford, CA, 94305, USA.</Affiliation>
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<AffiliationInfo>
<Affiliation>Evaluation Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, USA.</Affiliation>
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<ForeName>Noemie</ForeName>
<Initials>N</Initials>
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<Affiliation>Stanford University School of Medicine, 291 Campus Drive, Stanford, CA, 94305, USA.</Affiliation>
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<LastName>Edwards</LastName>
<ForeName>Lauren</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>Division of Primary Care & Population Health, Stanford University School of Medicine, 1265 Welch Rd., Mail Code 5475, Stanford, CA, 94305, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Stanford Primary Care Los Altos, 960 N San Antonio Rd #101, Los Altos, CA, 94022, USA.</Affiliation>
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<LastName>Winget</LastName>
<ForeName>Marcy</ForeName>
<Initials>M</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-5893-280X</Identifier>
<AffiliationInfo>
<Affiliation>Division of Primary Care & Population Health, Stanford University School of Medicine, 1265 Welch Rd., Mail Code 5475, Stanford, CA, 94305, USA. mwinget@stanford.edu.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Evaluation Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, USA. mwinget@stanford.edu.</Affiliation>
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<Language>eng</Language>
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</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2021</Year>
<Month>01</Month>
<Day>09</Day>
</ArticleDate>
</Article>
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<Country>England</Country>
<MedlineTA>BMC Infect Dis</MedlineTA>
<NlmUniqueID>100968551</NlmUniqueID>
<ISSNLinking>1471-2334</ISSNLinking>
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<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D044466" MajorTopicYN="N">Asian Continental Ancestry Group</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000208" MajorTopicYN="N">ethnology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000086742" MajorTopicYN="N">COVID-19 Testing</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D003371" MajorTopicYN="N">Cough</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D004417" MajorTopicYN="N">Dyspnea</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005006" MajorTopicYN="N">Ethnic Groups</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005334" MajorTopicYN="N">Fever</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006297" MajorTopicYN="N">Health Services Accessibility</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006630" MajorTopicYN="N">Hispanic Americans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006278" MajorTopicYN="N">Medicare</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="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014481" MajorTopicYN="N" Type="Geographic">United States</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">Comorbidities</Keyword>
<Keyword MajorTopicYN="N">Race</Keyword>
<Keyword MajorTopicYN="N">Socio-demographics</Keyword>
<Keyword MajorTopicYN="N">Symptoms</Keyword>
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<Citation>JAMA. 2020 Jun 23;323(24):2466-2467</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32391864</ArticleId>
</ArticleIdList>
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<Reference>
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<Reference>
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<name sortKey="Shaw, Jonathan G" sort="Shaw, Jonathan G" uniqKey="Shaw J" first="Jonathan G" last="Shaw">Jonathan G. Shaw</name>
<name sortKey="Shaw, Jonathan G" sort="Shaw, Jonathan G" uniqKey="Shaw J" first="Jonathan G" last="Shaw">Jonathan G. Shaw</name>
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