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Laboratory biomarkers associated with COVID-19 severity and management.

Identifieur interne : 000125 ( Main/Exploration ); précédent : 000124; suivant : 000126

Laboratory biomarkers associated with COVID-19 severity and management.

Auteurs : S. Keddie [Royaume-Uni] ; O. Ziff [Royaume-Uni] ; M K L. Chou [Royaume-Uni] ; R L Taylor [Royaume-Uni] ; A. Heslegrave [Royaume-Uni] ; E. Garr [Royaume-Uni] ; N. Lakdawala [Royaume-Uni] ; A. Church [Royaume-Uni] ; D. Ludwig [Royaume-Uni] ; J. Manson [Royaume-Uni] ; M. Scully [Royaume-Uni] ; E. Nastouli [Royaume-Uni] ; M D Chapman [Royaume-Uni] ; M. Hart [Royaume-Uni] ; M P Lunn [Royaume-Uni]

Source :

RBID : pubmed:33153974

Abstract

The heterogeneous disease course of COVID-19 is unpredictable, ranging from mild self-limiting symptoms to cytokine storms, acute respiratory distress syndrome (ARDS), multi-organ failure and death. Identification of high-risk cases will enable appropriate intervention and escalation. This study investigates the routine laboratory tests and cytokines implicated in COVID-19 for their potential application as biomarkers of disease severity, respiratory failure and need of higher-level care. From analysis of 203 samples, CRP, IL-6, IL-10 and LDH were most strongly correlated with the WHO ordinal scale of illness severity, the fraction of inspired oxygen delivery, radiological evidence of ARDS and level of respiratory support (p ≤ 0.001). IL-6 levels of ≥3.27 pg/ml provide a sensitivity of 0.87 and specificity of 0.64 for a requirement of ventilation, and a CRP of ≥37 mg/l of 0.91 and 0.66. Reliable stratification of high-risk cases has significant implications on patient triage, resource management and potentially the initiation of novel therapies in severe patients.

DOI: 10.1016/j.clim.2020.108614
PubMed: 33153974
PubMed Central: PMC7581344


Affiliations:


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Le document en format XML

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<settlement type="city">Londres</settlement>
<region type="country">Angleterre</region>
<region type="région" nuts="1">Grand Londres</region>
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<series>
<title level="j">Clinical immunology (Orlando, Fla.)</title>
<idno type="eISSN">1521-7035</idno>
<imprint>
<date when="2020" type="published">2020</date>
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<div type="abstract" xml:lang="en">The heterogeneous disease course of COVID-19 is unpredictable, ranging from mild self-limiting symptoms to cytokine storms, acute respiratory distress syndrome (ARDS), multi-organ failure and death. Identification of high-risk cases will enable appropriate intervention and escalation. This study investigates the routine laboratory tests and cytokines implicated in COVID-19 for their potential application as biomarkers of disease severity, respiratory failure and need of higher-level care. From analysis of 203 samples, CRP, IL-6, IL-10 and LDH were most strongly correlated with the WHO ordinal scale of illness severity, the fraction of inspired oxygen delivery, radiological evidence of ARDS and level of respiratory support (p ≤ 0.001). IL-6 levels of ≥3.27 pg/ml provide a sensitivity of 0.87 and specificity of 0.64 for a requirement of ventilation, and a CRP of ≥37 mg/l of 0.91 and 0.66. Reliable stratification of high-risk cases has significant implications on patient triage, resource management and potentially the initiation of novel therapies in severe patients.</div>
</front>
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<MedlineCitation Status="In-Process" Owner="NLM">
<PMID Version="1">33153974</PMID>
<DateRevised>
<Year>2020</Year>
<Month>11</Month>
<Day>23</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1521-7035</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>221</Volume>
<PubDate>
<Year>2020</Year>
<Month>12</Month>
</PubDate>
</JournalIssue>
<Title>Clinical immunology (Orlando, Fla.)</Title>
<ISOAbbreviation>Clin Immunol</ISOAbbreviation>
</Journal>
<ArticleTitle>Laboratory biomarkers associated with COVID-19 severity and management.</ArticleTitle>
<Pagination>
<MedlinePgn>108614</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S1521-6616(20)30774-9</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.clim.2020.108614</ELocationID>
<Abstract>
<AbstractText>The heterogeneous disease course of COVID-19 is unpredictable, ranging from mild self-limiting symptoms to cytokine storms, acute respiratory distress syndrome (ARDS), multi-organ failure and death. Identification of high-risk cases will enable appropriate intervention and escalation. This study investigates the routine laboratory tests and cytokines implicated in COVID-19 for their potential application as biomarkers of disease severity, respiratory failure and need of higher-level care. From analysis of 203 samples, CRP, IL-6, IL-10 and LDH were most strongly correlated with the WHO ordinal scale of illness severity, the fraction of inspired oxygen delivery, radiological evidence of ARDS and level of respiratory support (p ≤ 0.001). IL-6 levels of ≥3.27 pg/ml provide a sensitivity of 0.87 and specificity of 0.64 for a requirement of ventilation, and a CRP of ≥37 mg/l of 0.91 and 0.66. Reliable stratification of high-risk cases has significant implications on patient triage, resource management and potentially the initiation of novel therapies in severe patients.</AbstractText>
<CopyrightInformation>Crown Copyright © 2020. Published by Elsevier Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Keddie</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK. Electronic address: stephen.keddie@nhs.net.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ziff</LastName>
<ForeName>O</ForeName>
<Initials>O</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Chou</LastName>
<ForeName>M K L</ForeName>
<Initials>MKL</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Taylor</LastName>
<ForeName>R L</ForeName>
<Initials>RL</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Heslegrave</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>UK Dementia Research Institute, University College London, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Garr</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Lakdawala</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Church</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ludwig</LastName>
<ForeName>D</ForeName>
<Initials>D</Initials>
<AffiliationInfo>
<Affiliation>Department of Rheumatology, University College London Hospitals NHS Trust, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Manson</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Department of Rheumatology, University College London Hospitals NHS Trust, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Scully</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>Department of Haematology, University College London Hospitals NHS Foundation Trust and Cardiometabolic Programme-NIHR UCLH/UC BRC, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Nastouli</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
<AffiliationInfo>
<Affiliation>Infection control department, University College London Hospitals NHS Trust, London, UK.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y">
<LastName>Chapman</LastName>
<ForeName>M D</ForeName>
<Initials>MD</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Hart</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Lunn</LastName>
<ForeName>M P</ForeName>
<Initials>MP</Initials>
<AffiliationInfo>
<Affiliation>Neuroimmunology and CSF laboratory, University College London Hospitals NHS Trust National Hospital of Neurology and Neurosurgery, Queen Square, London, UK.</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>10</Month>
<Day>22</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>Clin Immunol</MedlineTA>
<NlmUniqueID>100883537</NlmUniqueID>
<ISSNLinking>1521-6616</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="Y">Biomarkers</Keyword>
<Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">CRP</Keyword>
<Keyword MajorTopicYN="Y">Cytokines</Keyword>
<Keyword MajorTopicYN="Y">IL-10</Keyword>
<Keyword MajorTopicYN="Y">IL-6</Keyword>
<Keyword MajorTopicYN="Y">Intensive care</Keyword>
<Keyword MajorTopicYN="Y">LDH</Keyword>
</KeywordList>
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<Year>2020</Year>
<Month>08</Month>
<Day>18</Day>
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<Year>2020</Year>
<Month>10</Month>
<Day>14</Day>
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<PubMedPubDate PubStatus="accepted">
<Year>2020</Year>
<Month>10</Month>
<Day>20</Day>
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<list>
<country>
<li>Royaume-Uni</li>
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<li>Angleterre</li>
<li>Grand Londres</li>
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<name sortKey="Keddie, S" sort="Keddie, S" uniqKey="Keddie S" first="S" last="Keddie">S. Keddie</name>
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<name sortKey="Chapman, M D" sort="Chapman, M D" uniqKey="Chapman M" first="M D" last="Chapman">M D Chapman</name>
<name sortKey="Chou, M K L" sort="Chou, M K L" uniqKey="Chou M" first="M K L" last="Chou">M K L. Chou</name>
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<name sortKey="Garr, E" sort="Garr, E" uniqKey="Garr E" first="E" last="Garr">E. Garr</name>
<name sortKey="Hart, M" sort="Hart, M" uniqKey="Hart M" first="M" last="Hart">M. Hart</name>
<name sortKey="Heslegrave, A" sort="Heslegrave, A" uniqKey="Heslegrave A" first="A" last="Heslegrave">A. Heslegrave</name>
<name sortKey="Lakdawala, N" sort="Lakdawala, N" uniqKey="Lakdawala N" first="N" last="Lakdawala">N. Lakdawala</name>
<name sortKey="Ludwig, D" sort="Ludwig, D" uniqKey="Ludwig D" first="D" last="Ludwig">D. Ludwig</name>
<name sortKey="Lunn, M P" sort="Lunn, M P" uniqKey="Lunn M" first="M P" last="Lunn">M P Lunn</name>
<name sortKey="Manson, J" sort="Manson, J" uniqKey="Manson J" first="J" last="Manson">J. Manson</name>
<name sortKey="Nastouli, E" sort="Nastouli, E" uniqKey="Nastouli E" first="E" last="Nastouli">E. Nastouli</name>
<name sortKey="Scully, M" sort="Scully, M" uniqKey="Scully M" first="M" last="Scully">M. Scully</name>
<name sortKey="Taylor, R L" sort="Taylor, R L" uniqKey="Taylor R" first="R L" last="Taylor">R L Taylor</name>
<name sortKey="Ziff, O" sort="Ziff, O" uniqKey="Ziff O" first="O" last="Ziff">O. Ziff</name>
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