Clinical characteristics of 71 patients with coronavirus disease 2019.
Identifieur interne : 000373 ( Main/Curation ); précédent : 000372; suivant : 000374Clinical characteristics of 71 patients with coronavirus disease 2019.
Auteurs : Miaomiao Xiao [République populaire de Chine] ; Mingjie Hou [République populaire de Chine] ; Xuhui Liu [République populaire de Chine] ; Zhe Li [République populaire de Chine] ; Qingxia Zhao [République populaire de Chine]Source :
- Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences [ 1672-7347 ] ; 2020.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Chine (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Fièvre (virologie), Humains (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (physiopathologie), Jeune adulte (MeSH), Mâle (MeSH), Numération des leucocytes (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (physiopathologie), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Toux (virologie), Études rétrospectives (MeSH).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- physiopathologie : Infections à coronavirus, Pneumopathie virale.
- virologie : Fièvre, Toux.
- Adolescent, Adulte, Adulte d'âge moyen, Betacoronavirus, Chine, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Mâle, Numération des leucocytes, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Child (MeSH), Child, Preschool (MeSH), China (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (physiopathology), Cough (virology), Female (MeSH), Fever (virology), Humans (MeSH), Leukocyte Count (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (physiopathology), Retrospective Studies (MeSH), Young Adult (MeSH).
- MESH :
- geographic : China.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- physiopathology : Coronavirus Infections, Pneumonia, Viral.
- virology : Cough, Fever.
- Adolescent, Adult, Aged, Aged, 80 and over, Betacoronavirus, Child, Child, Preschool, Female, Humans, Leukocyte Count, Male, Middle Aged, Pandemics, Retrospective Studies, Young Adult.
Abstract
OBJECTIVES
To analyze the clinical characteristics of 71 patients with coronavirus disease 2019 (COVID-19).
METHODS
The general data, epidemiological data, laboratory tests, imaging examinations, and treatment of 71 patients with COVID-19 admitted to the Sixth People's Hospital of Zhengzhou from January 19, 2020 to March 3, 2020 were retrospectively analyzed.
RESULTS
Of the 71 COVID-19 patients, the ages were 4-84 (41.29±15.21) years, 38 (53.5%) patients were male, 33 (46.5%) were female, and 52 (73.2%) were in 22 clusters. The main clinical manifestations were fever (78.9%), cough (64.8%), and sputum (38.0%). The fever was mainly low and moderate, with 49 patients (69.0%) at 37.3-39.0 ℃. Most of the leukocytes, neutrophils, and lymphocytes were normal, accounting for 47 (66.2%), 51 (71.8%), and 51 (71.8%) patients, respectively; a few of them were decreased, accounting for 21 (29.6%), 16 (22.5%), and 20 (28.2%) patients, respectively. There were 38 (53.5%) and 31 (43.7%) patients with the decreased CD4
CONCLUSIONS
The aggregation phenomenon of COVID-19 is obvious. Fever and cough are the main clinical manifestations. White blood cells, neutrophils, and lymphocytes in the most patients in the early onset are normal. Most COVID-19 patients are light and ordinary type, with good prognosis.
DOI: 10.11817/j.issn.1672-7347.2020.200187
PubMed: 32879082
Links toward previous steps (curation, corpus...)
- to stream Main, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000373
Links to Exploration step
pubmed:32879082Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Clinical characteristics of 71 patients with coronavirus disease 2019.</title>
<author><name sortKey="Xiao, Miaomiao" sort="Xiao, Miaomiao" uniqKey="Xiao M" first="Miaomiao" last="Xiao">Miaomiao Xiao</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China. 23617316@qq.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Hou, Mingjie" sort="Hou, Mingjie" uniqKey="Hou M" first="Mingjie" last="Hou">Mingjie Hou</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Liu, Xuhui" sort="Liu, Xuhui" uniqKey="Liu X" first="Xuhui" last="Liu">Xuhui Liu</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Li, Zhe" sort="Li, Zhe" uniqKey="Li Z" first="Zhe" last="Li">Zhe Li</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Zhao, Qingxia" sort="Zhao, Qingxia" uniqKey="Zhao Q" first="Qingxia" last="Zhao">Qingxia Zhao</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China. zhqx666@163.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32879082</idno>
<idno type="pmid">32879082</idno>
<idno type="doi">10.11817/j.issn.1672-7347.2020.200187</idno>
<idno type="wicri:Area/Main/Corpus">000373</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000373</idno>
<idno type="wicri:Area/Main/Curation">000373</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000373</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Clinical characteristics of 71 patients with coronavirus disease 2019.</title>
<author><name sortKey="Xiao, Miaomiao" sort="Xiao, Miaomiao" uniqKey="Xiao M" first="Miaomiao" last="Xiao">Miaomiao Xiao</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China. 23617316@qq.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Hou, Mingjie" sort="Hou, Mingjie" uniqKey="Hou M" first="Mingjie" last="Hou">Mingjie Hou</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Liu, Xuhui" sort="Liu, Xuhui" uniqKey="Liu X" first="Xuhui" last="Liu">Xuhui Liu</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Li, Zhe" sort="Li, Zhe" uniqKey="Li Z" first="Zhe" last="Li">Zhe Li</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Zhao, Qingxia" sort="Zhao, Qingxia" uniqKey="Zhao Q" first="Qingxia" last="Zhao">Qingxia Zhao</name>
<affiliation wicri:level="1"><nlm:affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China. zhqx666@163.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015</wicri:regionArea>
</affiliation>
</author>
</analytic>
<series><title level="j">Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences</title>
<idno type="ISSN">1672-7347</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>China (MeSH)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (physiopathology)</term>
<term>Cough (virology)</term>
<term>Female (MeSH)</term>
<term>Fever (virology)</term>
<term>Humans (MeSH)</term>
<term>Leukocyte Count (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (physiopathology)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Chine (MeSH)</term>
<term>Enfant (MeSH)</term>
<term>Enfant d'âge préscolaire (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Fièvre (virologie)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (physiopathologie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Numération des leucocytes (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (physiopathologie)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Toux (virologie)</term>
<term>Études rétrospectives (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Fièvre</term>
<term>Toux</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Cough</term>
<term>Fever</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Betacoronavirus</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Leukocyte Count</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Retrospective Studies</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Chine</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Numération des leucocytes</term>
<term>Pandémies</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Études rétrospectives</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b>
</p>
<p>To analyze the clinical characteristics of 71 patients with coronavirus disease 2019 (COVID-19).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>The general data, epidemiological data, laboratory tests, imaging examinations, and treatment of 71 patients with COVID-19 admitted to the Sixth People's Hospital of Zhengzhou from January 19, 2020 to March 3, 2020 were retrospectively analyzed.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Of the 71 COVID-19 patients, the ages were 4-84 (41.29±15.21) years, 38 (53.5%) patients were male, 33 (46.5%) were female, and 52 (73.2%) were in 22 clusters. The main clinical manifestations were fever (78.9%), cough (64.8%), and sputum (38.0%). The fever was mainly low and moderate, with 49 patients (69.0%) at 37.3-39.0 ℃. Most of the leukocytes, neutrophils, and lymphocytes were normal, accounting for 47 (66.2%), 51 (71.8%), and 51 (71.8%) patients, respectively; a few of them were decreased, accounting for 21 (29.6%), 16 (22.5%), and 20 (28.2%) patients, respectively. There were 38 (53.5%) and 31 (43.7%) patients with the decreased CD4</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>The aggregation phenomenon of COVID-19 is obvious. Fever and cough are the main clinical manifestations. White blood cells, neutrophils, and lymphocytes in the most patients in the early onset are normal. Most COVID-19 patients are light and ordinary type, with good prognosis.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32879082</PMID>
<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>08</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>08</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Print">1672-7347</ISSN>
<JournalIssue CitedMedium="Print"><Volume>45</Volume>
<Issue>7</Issue>
<PubDate><Year>2020</Year>
<Month>Jul</Month>
<Day>28</Day>
</PubDate>
</JournalIssue>
<Title>Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences</Title>
<ISOAbbreviation>Zhong Nan Da Xue Xue Bao Yi Xue Ban</ISOAbbreviation>
</Journal>
<ArticleTitle>Clinical characteristics of 71 patients with coronavirus disease 2019.</ArticleTitle>
<Pagination><MedlinePgn>790-796</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">1672-7347(2020)07-0790-07</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.11817/j.issn.1672-7347.2020.200187</ELocationID>
<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">To analyze the clinical characteristics of 71 patients with coronavirus disease 2019 (COVID-19).</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The general data, epidemiological data, laboratory tests, imaging examinations, and treatment of 71 patients with COVID-19 admitted to the Sixth People's Hospital of Zhengzhou from January 19, 2020 to March 3, 2020 were retrospectively analyzed.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Of the 71 COVID-19 patients, the ages were 4-84 (41.29±15.21) years, 38 (53.5%) patients were male, 33 (46.5%) were female, and 52 (73.2%) were in 22 clusters. The main clinical manifestations were fever (78.9%), cough (64.8%), and sputum (38.0%). The fever was mainly low and moderate, with 49 patients (69.0%) at 37.3-39.0 ℃. Most of the leukocytes, neutrophils, and lymphocytes were normal, accounting for 47 (66.2%), 51 (71.8%), and 51 (71.8%) patients, respectively; a few of them were decreased, accounting for 21 (29.6%), 16 (22.5%), and 20 (28.2%) patients, respectively. There were 38 (53.5%) and 31 (43.7%) patients with the decreased CD4<sup>+</sup>
and CD8<sup>+</sup>
T cell counts, respectively. There were 41 (57.7%), 38 (53.5%), 32 (45.1%), 26(36.6%), 22 (31.0%), 20 (28.2%), 14 (19.7%), 14 (19.7%), and 9 (12.7%) patients with the increased levels of C-reactive protein, erythrocyte sedimentation rate, procalcitonin, fibrinogen,interleukin 6, lactate dehydrogenase,<i>D</i>
-dimer,alanine aminotransferase, and aspartate aminotransferase, respectively. Of the 71 patients, the lung was involved in 60 (84.5%) patients, the double lung was involved in 47 (66.2%) patients, and the single lung was involved in 13 (18.3%) patients. The course of the disease was long, and the time from symptom onset to the second severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid negative transformation was (17.22±6.34) days.There were no significant differences in the incubation period (<i>t</i>
=-0.453, <i>P</i>
>0.05), the complicates (χ<sup>2</sup>
=0.042, <i>P</i>
>0.05), and the time from symptom onset to diagnosis (<i>t</i>
=-1.330, <i>P</i>
>0.05) in patients between the non-severe group and the severe group. The onset age, gender, SARS-CoV-2 nucleic acid negative time, lymphocyte count, <i>D</i>
-dimer, C-reactive protein, total bilirubin, direct bilirubin, lactate dehydrogenase, calcium ion, CD4<sup>+</sup>
T cell count, CD8<sup>+</sup>
T cell count, calcitonin, procalcitonin, and troponin were significantly different between the severe group and the non-severe group (all <i>P</i>
<0.05). Among the 71 patients, 4 (5.6%) patients were mild, 59 (83.1%) were normal, and 8 (11.3%) were severe or critical.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The aggregation phenomenon of COVID-19 is obvious. Fever and cough are the main clinical manifestations. White blood cells, neutrophils, and lymphocytes in the most patients in the early onset are normal. Most COVID-19 patients are light and ordinary type, with good prognosis.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Xiao</LastName>
<ForeName>Miaomiao</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China. 23617316@qq.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hou</LastName>
<ForeName>Mingjie</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Xuhui</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Zhe</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhao</LastName>
<ForeName>Qingxia</ForeName>
<Initials>Q</Initials>
<AffiliationInfo><Affiliation>Sixth Department of Infectious Diseases, Sixth People's Hospital of Zhengzhou, Zhengzhou 450015, China. zhqx666@163.com.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<Language>chi</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<VernacularTitle>71例2019冠状病毒病临床特征分析.</VernacularTitle>
</Article>
<MedlineJournalInfo><Country>China</Country>
<MedlineTA>Zhong Nan Da Xue Xue Bao Yi Xue Ban</MedlineTA>
<NlmUniqueID>101230586</NlmUniqueID>
<ISSNLinking>1672-7347</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>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</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="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003371" MajorTopicYN="N">Cough</DescriptorName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005334" MajorTopicYN="N">Fever</DescriptorName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007958" MajorTopicYN="N">Leukocyte Count</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<OtherAbstract Type="Publisher" Language="chi"><AbstractText><b>目的</b>
: 分析71例2019冠状病毒病(coronavirus disease 2019,COVID-19)患者的临床特征。<b>方法</b>
: 回顾性分析郑州市第六人民医院于2020年1月19日至3月3日收治的71例COVID-19患者的一般资料、流行病学资料、实验室检查指标、影像学表现及治疗情况,总结疾病的临床特征。<b>结果</b>
: 71例患者年龄为4~84(41.29±15.21)岁,其中男38例(53.5%),女33例(46.5%)。52例(73.2%)属于22起聚集性疫情发病。患者以发热[56例(78.9%)]、咳嗽[46例(64.8%)]、咳痰[27例(38.0%)]为主要临床表现。发热以低、中热为主,37.3~39.0 ℃共49例(69.0%)。白细胞、中性粒细胞及淋巴细胞数正常者分别有47例(66.2%),51例(71.8%)及51例(71.8%),下降者分别有21例(29.6%),16例(22.5%)及20例(28.2%);38例(53.5%)出现CD4<sup>+</sup>
T淋巴细胞计数下降,31例(43.7%)出现CD8<sup>+</sup>
T淋巴细胞计数下降;38例(53.5%)红细胞沉降率升高,41例(57.7%)C反应蛋白、32例(45.1%)降钙素原、26例(36.6%)纤维蛋白原、22例(31.0%)白介素-6、20例(28.2%)乳酸脱氢酶、14例(19.7%)<i>D</i>
-二聚体、14例(19.7%)丙氨酸氨基转移酶、9例(12.7%)天门冬氨酸氨基转移酶水平升高。发病早期即可累及肺部,71例中累及肺部的有60例(84.5%),其中累及双肺的47例(66.2%),累及单肺13例(18.3%)。病程较长,从出现症状到第2次严重急性呼吸综合征冠状病毒2(severe acute respiratory syndrome coronavirus 2,SARS-CoV-2)核酸转阴时间为(17.22±6.34) d。重症组患者与非重症组患者在潜伏期(<i>t</i>
=-0.453,<i>P</i>
>0.05)、基础疾病合并情况(<i>χ</i>
<sup>2</sup>
=0.042,<i>P</i>
>0.05)、出现症状到确诊时间(<i>t</i>
=-1.330,<i>P</i>
>0.05)上差异无统计学意义,在发病年龄、性别、SARS-CoV-2核酸转阴时间、淋巴细胞计数、<i>D</i>
-二聚体、C反应蛋白、总胆红素、直接胆红素、乳酸脱氢酶、钙离子、CD4<sup>+</sup>
T淋巴细胞计数、CD8<sup>+</sup>
T淋巴细胞计数、降钙素原、肌红蛋白及肌钙蛋白方面的差异有统计学意义(均<i>P</i>
<0.05)。71例患者中轻症4例(5.6%)、普通型59例(83.1%)、重症和危重症8例(11.3%)。<b>结论</b>
: COVID-19聚集性发病现象明显,应高度重视并预防;以发热、咳嗽为主要临床表现;在发病早期大部分患者白细胞、中性粒细胞、淋巴细胞数正常;大部分为轻症及普通型的患者,预后良好。.</AbstractText>
</OtherAbstract>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">clinical characteristics</Keyword>
<Keyword MajorTopicYN="N">coronavirus disease 2019</Keyword>
<Keyword MajorTopicYN="N">cough</Keyword>
<Keyword MajorTopicYN="N">fever</Keyword>
<Keyword MajorTopicYN="N">pneumonia</Keyword>
<Keyword MajorTopicYN="N">severe acute respiratory syndrome coronavirus 2</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>9</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>9</Month>
<Day>4</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>9</Month>
<Day>9</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32879082</ArticleId>
<ArticleId IdType="pii">1672-7347(2020)07-0790-07</ArticleId>
<ArticleId IdType="doi">10.11817/j.issn.1672-7347.2020.200187</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Sanders JM, Monogue ML, Jodlowski TZ, et al. Pharmacologic treatments for coronavirus disease 2019 (COVID- 19): A review[J/OL]. JAMA, 2020(2020-04-13)[ 2020-05-07]. https://jamanet work.com/journals/jama/fullarticle/2764727. DOI: 10.1001/jama. 2020.6019.</Citation>
</Reference>
<Reference><Citation>Cao B, Wang Y, Wen D, et al. A trial of lopinavir-ritonavir in adults hospitalized with severe Covid-19[J]. N Engl J Med, 2020, 382(19): 1787 ‐ 1799.</Citation>
</Reference>
<Reference><Citation>国家卫生健康委办公厅, 国家中医药管理局办公室. 关于印发新型冠状病毒肺炎诊疗方案(试行第六版)的通知[EB/OL]. (2020-02-22)[ 2020-03-19]. http://www.gov.cn/zhengce/zhengceku/2020-02/19/content_5480948.htm.</Citation>
</Reference>
<Reference><Citation>中华预防医学会新型冠状病毒肺炎防控专家组. 新型冠状病毒肺炎流行病学特征的最新认识[J]. 中华流行病学杂志, 2020, 41(2): 139- 144.</Citation>
</Reference>
<Reference><Citation>孙林林, 李潇丹, 牛传振, 等. 一起新型冠状病毒肺炎聚集病例流行病学及临床特点分析[J]. 中华临床感染病杂志, 2020, 13(1): 29- 32.</Citation>
</Reference>
<Reference><Citation>中国疾病预防控制中心新型冠状病毒肺炎疫情防控流行病学组和防控技术组. 新型冠状病毒肺炎聚集性疫情流行病学调查技术指南(试行第一版)[J]. 中华流行病学杂志, 2020, 41(3): 293- 295.</Citation>
</Reference>
<Reference><Citation>国家卫生健康委办公厅, 国家中医药管理局办公室. 关于印发新型冠状病毒肺炎诊疗方案(试行第五版)的通知[EB/OL]. (2020-02-05)[ 2020-03-19]. http://www.nhc.gov.cn/xcs/zhengcwj/ 202002/3b09b894ac9b4204a79db5b8912d4440.shtml.</Citation>
</Reference>
<Reference><Citation>Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China[J]. N Engl J Med, 2020, 382(18): 1708 ‐ 1720.</Citation>
</Reference>
<Reference><Citation>Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention[J]. JAMA, 2020, 323(13): 1239- 1242.</Citation>
</Reference>
<Reference><Citation>聂唯, 冯智超, 冒晓文, 等. 2019冠状病毒病患者首次CT影像学特征[J]. 中南大学学报(医学版), 2020, 45(3): 262- 268.</Citation>
</Reference>
<Reference><Citation>钟正, 胡瑛, 喻奇志, 等. 2019冠状病毒病多阶段CT影像学特征[J]. 中南大学学报(医学版), 2020, 45(3): 250- 256.</Citation>
</Reference>
<Reference><Citation>李铁钢, 王鸣. 在抗击新型冠状病毒肺炎疫情同时警惕季节性流感的叠加效应[J]. 中华预防医学杂志, 2020, 54(4): 337- 339.</Citation>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000373 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Curation/biblio.hfd -nk 000373 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= CovidSeniorV1 |flux= Main |étape= Curation |type= RBID |clé= pubmed:32879082 |texte= Clinical characteristics of 71 patients with coronavirus disease 2019. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Curation/RBID.i -Sk "pubmed:32879082" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Curation/biblio.hfd \ | NlmPubMed2Wicri -a CovidSeniorV1
This area was generated with Dilib version V0.6.37. |