CovidSeniorV1, Main, Exploration, bibRecord, 000313

Prognostic value of serum amyloid A in patients with COVID-19.

Identifieur interne : 000313 ( Main/Exploration ); précédent : 000312; suivant : 000314

Prognostic value of serum amyloid A in patients with COVID-19.

Auteurs : Li Cheng [République populaire de Chine] ; Jian-Zhong Yang [République populaire de Chine] ; Wen-Hui Bai [République populaire de Chine] ; Zhuan-Yun Li [République populaire de Chine] ; Li-Fang Sun [République populaire de Chine] ; Juan-Juan Yan [République populaire de Chine] ; Chen-Liang Zhou [République populaire de Chine] ; Bao-Peng Tang [République populaire de Chine]

Source :

Infection [ 1439-0973 ] ; 2020.

RBID : pubmed:32734556

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Analyse de survie (MeSH), Betacoronavirus (pathogénicité), Chine (MeSH), Courbe ROC (MeSH), Femelle (MeSH), Fièvre (diagnostic), Fièvre (mortalité), Fièvre (physiopathologie), Fièvre (sang), Humains (MeSH), Hémoglobines (métabolisme), Indice de gravité de la maladie (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (mortalité), Infections à coronavirus (physiopathologie), Infections à coronavirus (sang), Marqueurs biologiques (sang), Mâle (MeSH), Numération des leucocytes (MeSH), Pandémies (MeSH), Pharyngite (diagnostic), Pharyngite (mortalité), Pharyngite (physiopathologie), Pharyngite (sang), Pneumopathie virale (diagnostic), Pneumopathie virale (mortalité), Pneumopathie virale (physiopathologie), Pneumopathie virale (sang), Pronostic (MeSH), Protéine C-réactive (métabolisme), Protéine amyloïde A sérique (métabolisme), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Toux (diagnostic), Toux (mortalité), Toux (physiopathologie), Toux (sang), Études rétrospectives (MeSH).
MESH :
- diagnostic : Fièvre, Infections à coronavirus, Pharyngite, Pneumopathie virale, Toux.
- mortalité : Fièvre, Infections à coronavirus, Pharyngite, Pneumopathie virale, Toux.
- métabolisme : Hémoglobines, Protéine C-réactive, Protéine amyloïde A sérique.
- pathogénicité : Betacoronavirus.
- physiopathologie : Fièvre, Infections à coronavirus, Pharyngite, Pneumopathie virale, Toux.
- sang : Fièvre, Infections à coronavirus, Marqueurs biologiques, Pharyngite, Pneumopathie virale, Toux.
- Adulte, Adulte d'âge moyen, Analyse de survie, Chine, Courbe ROC, Femelle, Humains, Indice de gravité de la maladie, Mâle, Numération des leucocytes, Pandémies, Pronostic, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives.
Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (pathogenicity), Biomarkers (blood), C-Reactive Protein (metabolism), China (MeSH), Coronavirus Infections (blood), Coronavirus Infections (diagnosis), Coronavirus Infections (mortality), Coronavirus Infections (physiopathology), Cough (blood), Cough (diagnosis), Cough (mortality), Cough (physiopathology), Female (MeSH), Fever (blood), Fever (diagnosis), Fever (mortality), Fever (physiopathology), Hemoglobins (metabolism), Humans (MeSH), Leukocyte Count (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pharyngitis (blood), Pharyngitis (diagnosis), Pharyngitis (mortality), Pharyngitis (physiopathology), Pneumonia, Viral (blood), Pneumonia, Viral (diagnosis), Pneumonia, Viral (mortality), Pneumonia, Viral (physiopathology), Prognosis (MeSH), ROC Curve (MeSH), Retrospective Studies (MeSH), Serum Amyloid A Protein (metabolism), Severity of Illness Index (MeSH), Survival Analysis (MeSH).
MESH :
- chemical , blood : Biomarkers.
- chemical , metabolism : C-Reactive Protein, Hemoglobins, Serum Amyloid A Protein.
- geographic : China.
- blood : Coronavirus Infections, Cough, Fever, Pharyngitis, Pneumonia, Viral.
- diagnosis : Coronavirus Infections, Cough, Fever, Pharyngitis, Pneumonia, Viral.
- mortality : Coronavirus Infections, Cough, Fever, Pharyngitis, Pneumonia, Viral.
- pathogenicity : Betacoronavirus.
- physiopathology : Coronavirus Infections, Cough, Fever, Pharyngitis, Pneumonia, Viral.
- Adult, Aged, Aged, 80 and over, Female, Humans, Leukocyte Count, Male, Middle Aged, Pandemics, Prognosis, ROC Curve, Retrospective Studies, Severity of Illness Index, Survival Analysis.

Abstract

OBJECTIVE

To investigate the prognostic value of serum amyloid A (SAA) in the patients with Corona Virus Disease 2019 (COVID-19).

METHODS

The medical data of 89 COVID-19 patients admitted to Renmin Hospital of Wuhan University from January 3, 2020 to February 26, 2020 were collected. Eighty-nine cases were divided into survival group (53 cases) and non-survival group (36 cases) according to the results of 28-day follow-up. The SAA levels of all patients were recorded and compared on 1 day after admission (before treatment) and 3 days, 5 days, and 7 days after treatment. The ROC curve was drawn to analyze the prognosis of patients with COVID-19 by SAA.

RESULTS

The difference of comparison of SAA between survival group and non-survival group before treatment was not statistically significant, Z

CONCLUSION

SAA can be used as a predictor of the prognosis in patients with COVID-19.

DOI: 10.1007/s15010-020-01468-7
PubMed: 32734556
PubMed Central: PMC7391472

Affiliations:

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

to stream Main, to step Corpus: 000899
to stream Main, to step Curation: 000899

Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (pathogenicity)</term>
<term>Biomarkers (blood)</term>
<term>C-Reactive Protein (metabolism)</term>
<term>China (MeSH)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (mortality)</term>
<term>Coronavirus Infections (physiopathology)</term>
<term>Cough (blood)</term>
<term>Cough (diagnosis)</term>
<term>Cough (mortality)</term>
<term>Cough (physiopathology)</term>
<term>Female (MeSH)</term>
<term>Fever (blood)</term>
<term>Fever (diagnosis)</term>
<term>Fever (mortality)</term>
<term>Fever (physiopathology)</term>
<term>Hemoglobins (metabolism)</term>
<term>Humans (MeSH)</term>
<term>Leukocyte Count (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pharyngitis (blood)</term>
<term>Pharyngitis (diagnosis)</term>
<term>Pharyngitis (mortality)</term>
<term>Pharyngitis (physiopathology)</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (mortality)</term>
<term>Pneumonia, Viral (physiopathology)</term>
<term>Prognosis (MeSH)</term>
<term>ROC Curve (MeSH)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Serum Amyloid A Protein (metabolism)</term>
<term>Severity of Illness Index (MeSH)</term>
<term>Survival Analysis (MeSH)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Analyse de survie (MeSH)</term>
<term>Betacoronavirus (pathogénicité)</term>
<term>Chine (MeSH)</term>
<term>Courbe ROC (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Fièvre (diagnostic)</term>
<term>Fièvre (mortalité)</term>
<term>Fièvre (physiopathologie)</term>
<term>Fièvre (sang)</term>
<term>Humains (MeSH)</term>
<term>Hémoglobines (métabolisme)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (mortalité)</term>
<term>Infections à coronavirus (physiopathologie)</term>
<term>Infections à coronavirus (sang)</term>
<term>Marqueurs biologiques (sang)</term>
<term>Mâle (MeSH)</term>
<term>Numération des leucocytes (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pharyngite (diagnostic)</term>
<term>Pharyngite (mortalité)</term>
<term>Pharyngite (physiopathologie)</term>
<term>Pharyngite (sang)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (mortalité)</term>
<term>Pneumopathie virale (physiopathologie)</term>
<term>Pneumopathie virale (sang)</term>
<term>Pronostic (MeSH)</term>
<term>Protéine C-réactive (métabolisme)</term>
<term>Protéine amyloïde A sérique (métabolisme)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Toux (diagnostic)</term>
<term>Toux (mortalité)</term>
<term>Toux (physiopathologie)</term>
<term>Toux (sang)</term>
<term>Études rétrospectives (MeSH)</term>
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<keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Biomarkers</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>C-Reactive Protein</term>
<term>Hemoglobins</term>
<term>Serum Amyloid A Protein</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term>
</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Coronavirus Infections</term>
<term>Cough</term>
<term>Fever</term>
<term>Pharyngitis</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term>
<term>Cough</term>
<term>Fever</term>
<term>Pharyngitis</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Fièvre</term>
<term>Infections à coronavirus</term>
<term>Pharyngite</term>
<term>Pneumopathie virale</term>
<term>Toux</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term>
<term>Cough</term>
<term>Fever</term>
<term>Pharyngitis</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Fièvre</term>
<term>Infections à coronavirus</term>
<term>Pharyngite</term>
<term>Pneumopathie virale</term>
<term>Toux</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Hémoglobines</term>
<term>Protéine C-réactive</term>
<term>Protéine amyloïde A sérique</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogenicity" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr"><term>Fièvre</term>
<term>Infections à coronavirus</term>
<term>Pharyngite</term>
<term>Pneumopathie virale</term>
<term>Toux</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Cough</term>
<term>Fever</term>
<term>Pharyngitis</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Fièvre</term>
<term>Infections à coronavirus</term>
<term>Marqueurs biologiques</term>
<term>Pharyngite</term>
<term>Pneumopathie virale</term>
<term>Toux</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Female</term>
<term>Humans</term>
<term>Leukocyte Count</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Prognosis</term>
<term>ROC Curve</term>
<term>Retrospective Studies</term>
<term>Severity of Illness Index</term>
<term>Survival Analysis</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Analyse de survie</term>
<term>Chine</term>
<term>Courbe ROC</term>
<term>Femelle</term>
<term>Humains</term>
<term>Indice de gravité de la maladie</term>
<term>Mâle</term>
<term>Numération des leucocytes</term>
<term>Pandémies</term>
<term>Pronostic</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>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>To investigate the prognostic value of serum amyloid A (SAA) in the patients with Corona Virus Disease 2019 (COVID-19).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>The medical data of 89 COVID-19 patients admitted to Renmin Hospital of Wuhan University from January 3, 2020 to February 26, 2020 were collected. Eighty-nine cases were divided into survival group (53 cases) and non-survival group (36 cases) according to the results of 28-day follow-up. The SAA levels of all patients were recorded and compared on 1 day after admission (before treatment) and 3 days, 5 days, and 7 days after treatment. The ROC curve was drawn to analyze the prognosis of patients with COVID-19 by SAA.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The difference of comparison of SAA between survival group and non-survival group before treatment was not statistically significant, Z</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>SAA can be used as a predictor of the prognosis in patients with COVID-19.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32734556</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="Print-Electronic"><Journal><ISSN IssnType="Electronic">1439-0973</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>48</Volume>
<Issue>5</Issue>
<PubDate><Year>2020</Year>
<Month>Oct</Month>
</PubDate>
</JournalIssue>
<Title>Infection</Title>
<ISOAbbreviation>Infection</ISOAbbreviation>
</Journal>
<ArticleTitle>Prognostic value of serum amyloid A in patients with COVID-19.</ArticleTitle>
<Pagination><MedlinePgn>715-722</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1007/s15010-020-01468-7</ELocationID>
<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To investigate the prognostic value of serum amyloid A (SAA) in the patients with Corona Virus Disease 2019 (COVID-19).</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The medical data of 89 COVID-19 patients admitted to Renmin Hospital of Wuhan University from January 3, 2020 to February 26, 2020 were collected. Eighty-nine cases were divided into survival group (53 cases) and non-survival group (36 cases) according to the results of 28-day follow-up. The SAA levels of all patients were recorded and compared on 1 day after admission (before treatment) and 3 days, 5 days, and 7 days after treatment. The ROC curve was drawn to analyze the prognosis of patients with COVID-19 by SAA.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The difference of comparison of SAA between survival group and non-survival group before treatment was not statistically significant, Z<sup>1</sup>
 = - 1.426, P = 0.154. The Z<sup>1</sup>
 values (Z<sup>1</sup>
 is the Z value of the rank sum test) of the two groups of patients at 3 days, 5 days, and 7 days after treatment were - 5.569, - 6.967, and - 7.542, respectively. The P values were all less than 0.001, and the difference was statistically significant. The ROC curve results showed that SAA has higher sensitivity to the prognostic value of 1 day (before treatment), 3 days, 5 days, and 7 days after treatment, with values of 0.806, 0.972, 0.861, and 0.961, respectively. Compared with SAA on the 7th day and C-reactive protein, leukocyte count, neutrophil count, lymphocyte count, and hemoglobin on the 7th day, the sensitivities were: 96.1%, 83.3%, 88.3%, 83.3%, 67.9%, and 83.0%, respectively, of which SAA has the highest sensitivity.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">SAA can be used as a predictor of the prognosis in patients with COVID-19.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Cheng</LastName>
<ForeName>Li</ForeName>
<Initials>L</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0003-3492-9574</Identifier>
<AffiliationInfo><Affiliation>Intensive Care Unit, Renmin Hospital of Wuhan University, Eastern Campus, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Jian-Zhong</ForeName>
<Initials>JZ</Initials>
<AffiliationInfo><Affiliation>Department of Emergency, Xinjiang Medical University Affiliated First Hospital, Xinjiang, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bai</LastName>
<ForeName>Wen-Hui</ForeName>
<Initials>WH</Initials>
<AffiliationInfo><Affiliation>Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Eastern Campus, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Zhuan-Yun</ForeName>
<Initials>ZY</Initials>
<AffiliationInfo><Affiliation>Department of Emergency, Xinjiang Medical University Affiliated First Hospital, Xinjiang, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sun</LastName>
<ForeName>Li-Fang</ForeName>
<Initials>LF</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit, Renmin Hospital of Wuhan University, Eastern Campus, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yan</LastName>
<ForeName>Juan-Juan</ForeName>
<Initials>JJ</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit, Renmin Hospital of Wuhan University, Eastern Campus, Wuhan, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhou</LastName>
<ForeName>Chen-Liang</ForeName>
<Initials>CL</Initials>
<AffiliationInfo><Affiliation>Intensive Care Unit, Renmin Hospital of Wuhan University, Eastern Campus, Wuhan, China. rm002106@whu.edu.cn.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tang</LastName>
<ForeName>Bao-Peng</ForeName>
<Initials>BP</Initials>
<AffiliationInfo><Affiliation>Department of Cardiology, Xinjiang Medical University Affiliated First Hospital, Xinjiang, China. Tangbaopeng1111@163.com.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>07</Month>
<Day>30</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Germany</Country>
<MedlineTA>Infection</MedlineTA>
<NlmUniqueID>0365307</NlmUniqueID>
<ISSNLinking>0300-8126</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D015415">Biomarkers</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D006454">Hemoglobins</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000685">Serum Amyloid A Protein</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>9007-41-4</RegistryNumber>
<NameOfSubstance UI="D002097">C-Reactive Protein</NameOfSubstance>
</Chemical>
</ChemicalList>
<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="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>
<QualifierName UI="Q000472" MajorTopicYN="Y">pathogenicity</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015415" MajorTopicYN="N">Biomarkers</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002097" MajorTopicYN="N">C-Reactive Protein</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003371" MajorTopicYN="N">Cough</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005334" MajorTopicYN="N">Fever</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006454" MajorTopicYN="N">Hemoglobins</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</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="D010612" MajorTopicYN="N">Pharyngitis</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011379" MajorTopicYN="N">Prognosis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012372" MajorTopicYN="N">ROC Curve</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000685" MajorTopicYN="N">Serum Amyloid A Protein</DescriptorName>
<QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016019" MajorTopicYN="N">Survival Analysis</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">Prognosis</Keyword>
<Keyword MajorTopicYN="N">Serum amyloid A</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>04</Month>
<Day>09</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>06</Month>
<Day>19</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>8</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>10</Month>
<Day>8</Day>
<Hour>6</Hour>
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</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>8</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32734556</ArticleId>
<ArticleId IdType="doi">10.1007/s15010-020-01468-7</ArticleId>
<ArticleId IdType="pii">10.1007/s15010-020-01468-7</ArticleId>
<ArticleId IdType="pmc">PMC7391472</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
<region><li>Hubei</li>
</region>
<settlement><li>Wuhan</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><region name="Hubei"><name sortKey="Cheng, Li" sort="Cheng, Li" uniqKey="Cheng L" first="Li" last="Cheng">Li Cheng</name>
</region>
<name sortKey="Bai, Wen Hui" sort="Bai, Wen Hui" uniqKey="Bai W" first="Wen-Hui" last="Bai">Wen-Hui Bai</name>
<name sortKey="Li, Zhuan Yun" sort="Li, Zhuan Yun" uniqKey="Li Z" first="Zhuan-Yun" last="Li">Zhuan-Yun Li</name>
<name sortKey="Sun, Li Fang" sort="Sun, Li Fang" uniqKey="Sun L" first="Li-Fang" last="Sun">Li-Fang Sun</name>
<name sortKey="Tang, Bao Peng" sort="Tang, Bao Peng" uniqKey="Tang B" first="Bao-Peng" last="Tang">Bao-Peng Tang</name>
<name sortKey="Yan, Juan Juan" sort="Yan, Juan Juan" uniqKey="Yan J" first="Juan-Juan" last="Yan">Juan-Juan Yan</name>
<name sortKey="Yang, Jian Zhong" sort="Yang, Jian Zhong" uniqKey="Yang J" first="Jian-Zhong" last="Yang">Jian-Zhong Yang</name>
<name sortKey="Zhou, Chen Liang" sort="Zhou, Chen Liang" uniqKey="Zhou C" first="Chen-Liang" last="Zhou">Chen-Liang Zhou</name>
</country>
</tree>
</affiliations>
</record>

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Prognostic value of serum amyloid A in patients with COVID-19.

Prognostic value of serum amyloid A in patients with COVID-19.

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