CovidSeniorV1, Main, Exploration, bibRecord, 000782

Clinical Course and Mortality of Stroke Patients With Coronavirus Disease 2019 in Wuhan, China.

Identifieur interne : 000782 ( Main/Exploration ); précédent : 000781; suivant : 000783

Clinical Course and Mortality of Stroke Patients With Coronavirus Disease 2019 in Wuhan, China.

Auteurs : Lijuan Zhang [République populaire de Chine] ; Wenwu Sun [République populaire de Chine] ; Yujun Wang [République populaire de Chine] ; Xiaopin Wang [République populaire de Chine] ; Yanli Liu [République populaire de Chine] ; Su Zhao [République populaire de Chine] ; Ding Long [République populaire de Chine] ; Liangkai Chen ; Li Yu [République populaire de Chine]

Source :

Stroke [ 1524-4628 ] ; 2020.

RBID : pubmed:32755348

Descripteurs français

English descriptors

KwdEn :
- Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), China (epidemiology), Comorbidity (MeSH), Coronavirus Infections (complications), Coronavirus Infections (mortality), Coronavirus Infections (therapy), Disease Progression (MeSH), Electronic Health Records (MeSH), Female (MeSH), Glasgow Coma Scale (MeSH), Hospital Mortality (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Multiple Organ Failure (epidemiology), Multiple Organ Failure (etiology), Pandemics (MeSH), Pneumonia (etiology), Pneumonia, Viral (complications), Pneumonia, Viral (mortality), Pneumonia, Viral (therapy), Retrospective Studies (MeSH), Risk Factors (MeSH), Sex Factors (MeSH), Stroke (complications), Stroke (mortality), Stroke (therapy), Treatment Outcome (MeSH).
MESH :
- geographic , epidemiology : China.
- complications : Coronavirus Infections, Pneumonia, Viral, Stroke.
- epidemiology : Multiple Organ Failure.
- etiology : Multiple Organ Failure, Pneumonia.
- mortality : Coronavirus Infections, Pneumonia, Viral, Stroke.
- therapy : Coronavirus Infections, Pneumonia, Viral, Stroke.
- Adult, Age Factors, Aged, Aged, 80 and over, Comorbidity, Disease Progression, Electronic Health Records, Female, Glasgow Coma Scale, Hospital Mortality, Humans, Male, Middle Aged, Pandemics, Retrospective Studies, Risk Factors, Sex Factors, Treatment Outcome.

Abstract

BACKGROUND AND PURPOSE

No studies have reported the effect of the coronavirus disease 2019 (COVID-19) epidemic on patients with preexisting stroke. We aim to study the clinical course of COVID-19 patients with preexisting stroke and to investigate death-related risk factors.

METHODS

We consecutively included 651 adult inpatients with COVID-19 from the Central Hospital of Wuhan between January 2 and February 15, 2020. Data on the demography, comorbidities, clinical manifestations, laboratory findings, treatments, complications, and outcomes (ie, discharged or death) of the participants were extracted from electronic medical records and compared between patients with and without preexisting stroke. The association between risk factors and mortality was estimated using a Cox proportional hazards regression model for stroke patients infected with severe acute respiratory syndrome coronavirus 2.

RESULTS

Of the 651 patients with COVID-19, 49 with preexisting stroke tended to be elderly, male, had more underlying comorbidities and greater severity of illness, prolonged length of hospital stay, and greater hospitalization expenses than those without preexisting stroke. Cox regression analysis indicated that the patients with stroke had a higher risk of developing critical pneumonia (adjusted hazard ratio, 2.01 [95% CI, 1.27-3.16]) and subsequent mortality (adjusted hazard ratio, 1.73 [95% CI, 1.00-2.98]) than the patients without stroke. Among the 49 stroke patients, older age and higher score of Glasgow Coma Scale or Sequential Organ Failure Assessment were independent risk factors associated with in-hospital mortality.

CONCLUSIONS

Preexisting stroke patients infected with severe acute respiratory syndrome coronavirus 2 were readily predisposed to death, providing an important message to individuals and health care workers that preventive measures must be implemented to protect and reduce transmission in stroke patients in this COVID-19 crisis.

DOI: 10.1161/STROKEAHA.120.030642
PubMed: 32755348
PubMed Central: PMC7434009

Affiliations:

République populaire de Chine

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000822
to stream Main, to step Curation: 000822

Le document en format XML

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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND AND PURPOSE</b>
</p>
<p>No studies have reported the effect of the coronavirus disease 2019 (COVID-19) epidemic on patients with preexisting stroke. We aim to study the clinical course of COVID-19 patients with preexisting stroke and to investigate death-related risk factors.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We consecutively included 651 adult inpatients with COVID-19 from the Central Hospital of Wuhan between January 2 and February 15, 2020. Data on the demography, comorbidities, clinical manifestations, laboratory findings, treatments, complications, and outcomes (ie, discharged or death) of the participants were extracted from electronic medical records and compared between patients with and without preexisting stroke. The association between risk factors and mortality was estimated using a Cox proportional hazards regression model for stroke patients infected with severe acute respiratory syndrome coronavirus 2.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Of the 651 patients with COVID-19, 49 with preexisting stroke tended to be elderly, male, had more underlying comorbidities and greater severity of illness, prolonged length of hospital stay, and greater hospitalization expenses than those without preexisting stroke. Cox regression analysis indicated that the patients with stroke had a higher risk of developing critical pneumonia (adjusted hazard ratio, 2.01 [95% CI, 1.27-3.16]) and subsequent mortality (adjusted hazard ratio, 1.73 [95% CI, 1.00-2.98]) than the patients without stroke. Among the 49 stroke patients, older age and higher score of Glasgow Coma Scale or Sequential Organ Failure Assessment were independent risk factors associated with in-hospital mortality.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Preexisting stroke patients infected with severe acute respiratory syndrome coronavirus 2 were readily predisposed to death, providing an important message to individuals and health care workers that preventive measures must be implemented to protect and reduce transmission in stroke patients in this COVID-19 crisis.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32755348</PMID>
<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>09</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>09</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1524-4628</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>51</Volume>
<Issue>9</Issue>
<PubDate><Year>2020</Year>
<Month>09</Month>
</PubDate>
</JournalIssue>
<Title>Stroke</Title>
<ISOAbbreviation>Stroke</ISOAbbreviation>
</Journal>
<ArticleTitle>Clinical Course and Mortality of Stroke Patients With Coronavirus Disease 2019 in Wuhan, China.</ArticleTitle>
<Pagination><MedlinePgn>2674-2682</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1161/STROKEAHA.120.030642</ELocationID>
<Abstract><AbstractText Label="BACKGROUND AND PURPOSE">No studies have reported the effect of the coronavirus disease 2019 (COVID-19) epidemic on patients with preexisting stroke. We aim to study the clinical course of COVID-19 patients with preexisting stroke and to investigate death-related risk factors.</AbstractText>
<AbstractText Label="METHODS">We consecutively included 651 adult inpatients with COVID-19 from the Central Hospital of Wuhan between January 2 and February 15, 2020. Data on the demography, comorbidities, clinical manifestations, laboratory findings, treatments, complications, and outcomes (ie, discharged or death) of the participants were extracted from electronic medical records and compared between patients with and without preexisting stroke. The association between risk factors and mortality was estimated using a Cox proportional hazards regression model for stroke patients infected with severe acute respiratory syndrome coronavirus 2.</AbstractText>
<AbstractText Label="RESULTS">Of the 651 patients with COVID-19, 49 with preexisting stroke tended to be elderly, male, had more underlying comorbidities and greater severity of illness, prolonged length of hospital stay, and greater hospitalization expenses than those without preexisting stroke. Cox regression analysis indicated that the patients with stroke had a higher risk of developing critical pneumonia (adjusted hazard ratio, 2.01 [95% CI, 1.27-3.16]) and subsequent mortality (adjusted hazard ratio, 1.73 [95% CI, 1.00-2.98]) than the patients without stroke. Among the 49 stroke patients, older age and higher score of Glasgow Coma Scale or Sequential Organ Failure Assessment were independent risk factors associated with in-hospital mortality.</AbstractText>
<AbstractText Label="CONCLUSIONS">Preexisting stroke patients infected with severe acute respiratory syndrome coronavirus 2 were readily predisposed to death, providing an important message to individuals and health care workers that preventive measures must be implemented to protect and reduce transmission in stroke patients in this COVID-19 crisis.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Zhang</LastName>
<ForeName>Lijuan</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Sun</LastName>
<ForeName>Wenwu</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Wang</LastName>
<ForeName>Yujun</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Wang</LastName>
<ForeName>Xiaopin</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Yanli</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhao</LastName>
<ForeName>Su</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine (S.Z.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Long</LastName>
<ForeName>Ding</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Liangkai</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (L.C.).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yu</LastName>
<ForeName>Li</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit (L.Z., W.S., Y.W., X.W., Y.L., D.L., L.Y.), the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>07</Month>
<Day>31</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Stroke</MedlineTA>
<NlmUniqueID>0235266</NlmUniqueID>
<ISSNLinking>0039-2499</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015897" MajorTopicYN="N">Comorbidity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018450" MajorTopicYN="N">Disease Progression</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D057286" MajorTopicYN="N">Electronic Health Records</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015600" MajorTopicYN="N">Glasgow Coma Scale</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017052" MajorTopicYN="N">Hospital Mortality</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009102" MajorTopicYN="N">Multiple Organ Failure</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011014" MajorTopicYN="N">Pneumonia</DescriptorName>
<QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D020521" MajorTopicYN="N">Stroke</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016896" MajorTopicYN="N">Treatment Outcome</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">comorbidities</Keyword>
<Keyword MajorTopicYN="Y">coronavirus disease</Keyword>
<Keyword MajorTopicYN="Y">demography</Keyword>
<Keyword MajorTopicYN="Y">mortality</Keyword>
<Keyword MajorTopicYN="Y">severe acute respiratory syndrome</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>8</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>9</Month>
<Day>10</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>8</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32755348</ArticleId>
<ArticleId IdType="doi">10.1161/STROKEAHA.120.030642</ArticleId>
<ArticleId IdType="pmc">PMC7434009</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
</list>
<tree><noCountry><name sortKey="Chen, Liangkai" sort="Chen, Liangkai" uniqKey="Chen L" first="Liangkai" last="Chen">Liangkai Chen</name>
</noCountry>
<country name="République populaire de Chine"><noRegion><name sortKey="Zhang, Lijuan" sort="Zhang, Lijuan" uniqKey="Zhang L" first="Lijuan" last="Zhang">Lijuan Zhang</name>
</noRegion>
<name sortKey="Liu, Yanli" sort="Liu, Yanli" uniqKey="Liu Y" first="Yanli" last="Liu">Yanli Liu</name>
<name sortKey="Long, Ding" sort="Long, Ding" uniqKey="Long D" first="Ding" last="Long">Ding Long</name>
<name sortKey="Sun, Wenwu" sort="Sun, Wenwu" uniqKey="Sun W" first="Wenwu" last="Sun">Wenwu Sun</name>
<name sortKey="Wang, Xiaopin" sort="Wang, Xiaopin" uniqKey="Wang X" first="Xiaopin" last="Wang">Xiaopin Wang</name>
<name sortKey="Wang, Yujun" sort="Wang, Yujun" uniqKey="Wang Y" first="Yujun" last="Wang">Yujun Wang</name>
<name sortKey="Yu, Li" sort="Yu, Li" uniqKey="Yu L" first="Li" last="Yu">Li Yu</name>
<name sortKey="Zhao, Su" sort="Zhao, Su" uniqKey="Zhao S" first="Su" last="Zhao">Su Zhao</name>
</country>
</tree>
</affiliations>
</record>

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Clinical Course and Mortality of Stroke Patients With Coronavirus Disease 2019 in Wuhan, China.

Clinical Course and Mortality of Stroke Patients With Coronavirus Disease 2019 in Wuhan, China.

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