CovidSeniorV1, Main, Exploration, bibRecord, 000448

Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.

Identifieur interne : 000448 ( Main/Exploration ); précédent : 000447; suivant : 000449

Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.

Source :

Critical care (London, England) [ 1466-609X ] ; 2020.

RBID : pubmed:32854750

Descripteurs français

KwdFr :
- Adulte d'âge moyen (MeSH), Chine (épidémiologie), Cytokines (sang), Facteurs de risque (MeSH), Femelle (MeSH), Humains (MeSH), Indice de gravité de la maladie (MeSH), Infections à coronavirus (sang), Infections à coronavirus (thérapie), Infections à coronavirus (épidémiologie), Inflammation (sang), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (sang), Pneumopathie virale (thérapie), Pneumopathie virale (épidémiologie), Résultat thérapeutique (MeSH), Sujet âgé (MeSH), Études longitudinales (MeSH), Études rétrospectives (MeSH).
MESH :
- sang : Cytokines, Infections à coronavirus, Inflammation, Pneumopathie virale.
- thérapie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Chine, Infections à coronavirus, Pneumopathie virale.
- Adulte d'âge moyen, Facteurs de risque, Femelle, Humains, Indice de gravité de la maladie, Mâle, Pandémies, Résultat thérapeutique, Sujet âgé, Études longitudinales, Études rétrospectives.
Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- Aged (MeSH), China (epidemiology), Coronavirus Infections (blood), Coronavirus Infections (epidemiology), Coronavirus Infections (therapy), Cytokines (blood), Female (MeSH), Humans (MeSH), Inflammation (blood), Longitudinal Studies (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (blood), Pneumonia, Viral (epidemiology), Pneumonia, Viral (therapy), Retrospective Studies (MeSH), Risk Factors (MeSH), Severity of Illness Index (MeSH), Treatment Outcome (MeSH).
MESH :
- chemical , blood : Cytokines.
- geographic , epidemiology : China.
- blood : Coronavirus Infections, Inflammation, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- Aged, Female, Humans, Longitudinal Studies, Male, Middle Aged, Pandemics, Retrospective Studies, Risk Factors, Severity of Illness Index, Treatment Outcome.

Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease and rapidly escalating epidemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The pathogenesis of COVID-19 remains to be elucidated. We aimed to clarify correlation of systemic inflammation with disease severity and outcomes in COVID-19 patients.

METHODS

In this retrospective study, baseline characteristics, laboratory findings, and treatments were compared among 317 laboratory-confirmed COVID-19 patients with moderate, severe, or critically ill form of the disease. Moreover, the longitudinal changes of serum cytokines, lactate dehydrogenase (LDH), high-sensitivity C-reactive protein (hsCRP), and hsCRP to lymphocyte count ratio (hsCRP/L) as well as their associations with disease severity and outcomes were investigated in 68 COVID-19 patients.

RESULTS

Within 24 h of admission, the critically ill patients showed higher concentrations of inflammatory markers including serum soluble interleukin (IL)-2 receptor, IL-6, IL-8, IL-10, tumor necrosis factor alpha (TNF-α), ferritin, procalcitonin, LDH, hsCRP, and hsCRP/L than patients with severe or moderate disease. The severe cases displayed the similar response patterns when compared with moderate cases. The longitudinal assays showed the levels of pro-inflammatory cytokines, LDH, hsCRP, and hsCRP/L gradually declined within 10 days post admission in moderate, severe cases or those who survived. However, there was no significant reduction in cytokines, LDH, hsCRP, and hsCRP/L levels in critically ill or deceased patients throughout the course of illness. Compared with female patients, male cases showed higher serum concentrations of soluble IL-2R, IL-6, ferritin, procalcitonin, LDH, and hsCRP. Multivariate logistic regression analysis revealed that IL-6 > 50 pg/mL and LDH > 400 U/L on admission were independently associated with disease severity in patients with COVID-19.

CONCLUSION

Exuberant inflammatory responses within 24 h of admission in patients with COVID-19 may correlate with disease severity. SARS-CoV-2 infection appears to elicit a sex-based differential immune response. IL-6 and LDH were independent predictive parameters for assessing the severity of COVID-19. An early decline of these inflammation markers may be associated with better outcomes.

DOI: 10.1186/s13054-020-03255-0
PubMed: 32854750
PubMed Central: PMC7450961

Affiliations:

République populaire de Chine

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

to stream Main, to step Corpus: 000453
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Le document en format XML

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<author><name sortKey="Yan, Weiming" sort="Yan, Weiming" uniqKey="Yan W" first="Weiming" last="Yan">Weiming Yan</name>
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<author><name sortKey="Chen, Tao" sort="Chen, Tao" uniqKey="Chen T" first="Tao" last="Chen">Tao Chen</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<author><name sortKey="Ning, Qin" sort="Ning, Qin" uniqKey="Ning Q" first="Qin" last="Ning">Qin Ning</name>
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<author><name sortKey="Han, Meifang" sort="Han, Meifang" uniqKey="Han M" first="Meifang" last="Han">Meifang Han</name>
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<author><name sortKey="Wu, Di" sort="Wu, Di" uniqKey="Wu D" first="Di" last="Wu">Di Wu</name>
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<term>China (epidemiology)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (therapy)</term>
<term>Cytokines (blood)</term>
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<term>Humans (MeSH)</term>
<term>Inflammation (blood)</term>
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<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (therapy)</term>
<term>Retrospective Studies (MeSH)</term>
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<term>Treatment Outcome (MeSH)</term>
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<term>Cytokines (sang)</term>
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<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Indice de gravité de la maladie (MeSH)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (thérapie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Inflammation (sang)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (sang)</term>
<term>Pneumopathie virale (thérapie)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Résultat thérapeutique (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Études longitudinales (MeSH)</term>
<term>Études rétrospectives (MeSH)</term>
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</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Coronavirus Infections</term>
<term>Inflammation</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
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<term>Pneumopathie virale</term>
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<term>Mâle</term>
<term>Pandémies</term>
<term>Résultat thérapeutique</term>
<term>Sujet âgé</term>
<term>Études longitudinales</term>
<term>Études rétrospectives</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease and rapidly escalating epidemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The pathogenesis of COVID-19 remains to be elucidated. We aimed to clarify correlation of systemic inflammation with disease severity and outcomes in COVID-19 patients.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>In this retrospective study, baseline characteristics, laboratory findings, and treatments were compared among 317 laboratory-confirmed COVID-19 patients with moderate, severe, or critically ill form of the disease. Moreover, the longitudinal changes of serum cytokines, lactate dehydrogenase (LDH), high-sensitivity C-reactive protein (hsCRP), and hsCRP to lymphocyte count ratio (hsCRP/L) as well as their associations with disease severity and outcomes were investigated in 68 COVID-19 patients.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Within 24 h of admission, the critically ill patients showed higher concentrations of inflammatory markers including serum soluble interleukin (IL)-2 receptor, IL-6, IL-8, IL-10, tumor necrosis factor alpha (TNF-α), ferritin, procalcitonin, LDH, hsCRP, and hsCRP/L than patients with severe or moderate disease. The severe cases displayed the similar response patterns when compared with moderate cases. The longitudinal assays showed the levels of pro-inflammatory cytokines, LDH, hsCRP, and hsCRP/L gradually declined within 10 days post admission in moderate, severe cases or those who survived. However, there was no significant reduction in cytokines, LDH, hsCRP, and hsCRP/L levels in critically ill or deceased patients throughout the course of illness. Compared with female patients, male cases showed higher serum concentrations of soluble IL-2R, IL-6, ferritin, procalcitonin, LDH, and hsCRP. Multivariate logistic regression analysis revealed that IL-6 > 50 pg/mL and LDH > 400 U/L on admission were independently associated with disease severity in patients with COVID-19.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Exuberant inflammatory responses within 24 h of admission in patients with COVID-19 may correlate with disease severity. SARS-CoV-2 infection appears to elicit a sex-based differential immune response. IL-6 and LDH were independent predictive parameters for assessing the severity of COVID-19. An early decline of these inflammation markers may be associated with better outcomes.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>31</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>31</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1466-609X</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>24</Volume>
<Issue>1</Issue>
<PubDate><Year>2020</Year>
<Month>08</Month>
<Day>27</Day>
</PubDate>
</JournalIssue>
<Title>Critical care (London, England)</Title>
<ISOAbbreviation>Crit Care</ISOAbbreviation>
</Journal>
<ArticleTitle>Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.</ArticleTitle>
<Pagination><MedlinePgn>525</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1186/s13054-020-03255-0</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">Coronavirus disease 2019 (COVID-19) is a newly emerging infectious disease and rapidly escalating epidemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The pathogenesis of COVID-19 remains to be elucidated. We aimed to clarify correlation of systemic inflammation with disease severity and outcomes in COVID-19 patients.</AbstractText>
<AbstractText Label="METHODS">In this retrospective study, baseline characteristics, laboratory findings, and treatments were compared among 317 laboratory-confirmed COVID-19 patients with moderate, severe, or critically ill form of the disease. Moreover, the longitudinal changes of serum cytokines, lactate dehydrogenase (LDH), high-sensitivity C-reactive protein (hsCRP), and hsCRP to lymphocyte count ratio (hsCRP/L) as well as their associations with disease severity and outcomes were investigated in 68 COVID-19 patients.</AbstractText>
<AbstractText Label="RESULTS">Within 24 h of admission, the critically ill patients showed higher concentrations of inflammatory markers including serum soluble interleukin (IL)-2 receptor, IL-6, IL-8, IL-10, tumor necrosis factor alpha (TNF-α), ferritin, procalcitonin, LDH, hsCRP, and hsCRP/L than patients with severe or moderate disease. The severe cases displayed the similar response patterns when compared with moderate cases. The longitudinal assays showed the levels of pro-inflammatory cytokines, LDH, hsCRP, and hsCRP/L gradually declined within 10 days post admission in moderate, severe cases or those who survived. However, there was no significant reduction in cytokines, LDH, hsCRP, and hsCRP/L levels in critically ill or deceased patients throughout the course of illness. Compared with female patients, male cases showed higher serum concentrations of soluble IL-2R, IL-6, ferritin, procalcitonin, LDH, and hsCRP. Multivariate logistic regression analysis revealed that IL-6 > 50 pg/mL and LDH > 400 U/L on admission were independently associated with disease severity in patients with COVID-19.</AbstractText>
<AbstractText Label="CONCLUSION">Exuberant inflammatory responses within 24 h of admission in patients with COVID-19 may correlate with disease severity. SARS-CoV-2 infection appears to elicit a sex-based differential immune response. IL-6 and LDH were independent predictive parameters for assessing the severity of COVID-19. An early decline of these inflammation markers may be associated with better outcomes.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zeng</LastName>
<ForeName>Zhilin</ForeName>
<Initials>Z</Initials>
<Identifier Source="ORCID">0000-0003-3195-4010</Identifier>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yu</LastName>
<ForeName>Haijing</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Huilong</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Qi</LastName>
<ForeName>Weipeng</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Liang</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Guang</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yan</LastName>
<ForeName>Weiming</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Tao</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ning</LastName>
<ForeName>Qin</ForeName>
<Initials>Q</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Han</LastName>
<ForeName>Meifang</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China. mfhan@foxmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wu</LastName>
<ForeName>Di</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Department and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China. woody_1984@163.com.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>81800041</GrantID>
<Agency>National Natural Science Foundation of China</Agency>
<Country>International</Country>
</Grant>
<Grant><GrantID>2017ZX10202201</GrantID>
<Agency>Chinese National Thirteenth Five Years Project in Science and Technology</Agency>
<Country>International</Country>
</Grant>
</GrantList>
<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>08</Month>
<Day>27</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Crit Care</MedlineTA>
<NlmUniqueID>9801902</NlmUniqueID>
<ISSNLinking>1364-8535</ISSNLinking>
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<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D016207">Cytokines</NameOfSubstance>
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<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
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<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007249" MajorTopicYN="N">Inflammation</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008137" MajorTopicYN="N">Longitudinal Studies</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="Q000097" MajorTopicYN="Y">blood</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="Y">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="D012720" MajorTopicYN="N">Severity of Illness Index</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016896" MajorTopicYN="N">Treatment Outcome</DescriptorName>
</MeshHeading>
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<Keyword MajorTopicYN="Y">Cytokine</Keyword>
<Keyword MajorTopicYN="Y">Disease severity</Keyword>
<Keyword MajorTopicYN="Y">Inflammatory mediators</Keyword>
<Keyword MajorTopicYN="Y">Outcome</Keyword>
<Keyword MajorTopicYN="Y">SARS-CoV-2</Keyword>
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<Day>17</Day>
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<tree><country name="République populaire de Chine"><noRegion><name sortKey="Zeng, Zhilin" sort="Zeng, Zhilin" uniqKey="Zeng Z" first="Zhilin" last="Zeng">Zhilin Zeng</name>
</noRegion>
<name sortKey="Chen, Guang" sort="Chen, Guang" uniqKey="Chen G" first="Guang" last="Chen">Guang Chen</name>
<name sortKey="Chen, Huilong" sort="Chen, Huilong" uniqKey="Chen H" first="Huilong" last="Chen">Huilong Chen</name>
<name sortKey="Chen, Liang" sort="Chen, Liang" uniqKey="Chen L" first="Liang" last="Chen">Liang Chen</name>
<name sortKey="Chen, Tao" sort="Chen, Tao" uniqKey="Chen T" first="Tao" last="Chen">Tao Chen</name>
<name sortKey="Han, Meifang" sort="Han, Meifang" uniqKey="Han M" first="Meifang" last="Han">Meifang Han</name>
<name sortKey="Ning, Qin" sort="Ning, Qin" uniqKey="Ning Q" first="Qin" last="Ning">Qin Ning</name>
<name sortKey="Qi, Weipeng" sort="Qi, Weipeng" uniqKey="Qi W" first="Weipeng" last="Qi">Weipeng Qi</name>
<name sortKey="Wu, Di" sort="Wu, Di" uniqKey="Wu D" first="Di" last="Wu">Di Wu</name>
<name sortKey="Yan, Weiming" sort="Yan, Weiming" uniqKey="Yan W" first="Weiming" last="Yan">Weiming Yan</name>
<name sortKey="Yu, Haijing" sort="Yu, Haijing" uniqKey="Yu H" first="Haijing" last="Yu">Haijing Yu</name>
</country>
</tree>
</affiliations>
</record>

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{{Explor lien
   |wiki=    Sante
   |area=    CovidSeniorV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32854750
   |texte=   Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.
}}

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	Serveur d'exploration sur la COVID chez les séniors
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la COVID chez les séniors

Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.

Longitudinal changes of inflammatory parameters and their correlation with disease severity and outcomes in patients with COVID-19 from Wuhan, China.

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