COVID-19: could CT provide the best population level biomarker? Incidental COVID-19 in major trauma patients suggests higher than predicted rates of infection in London.
Identifieur interne : 000564 ( Main/Exploration ); précédent : 000563; suivant : 000565COVID-19: could CT provide the best population level biomarker? Incidental COVID-19 in major trauma patients suggests higher than predicted rates of infection in London.
Auteurs : E J Adam [Royaume-Uni] ; S. Grubnic [Royaume-Uni] ; T M Jacob [Royaume-Uni] ; J H Patel [Royaume-Uni] ; R. Blanks [Royaume-Uni]Source :
- Clinical radiology [ 1365-229X ] ; 2021.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Londres (épidémiologie), Marqueurs biologiques (MeSH), Mâle (MeSH), Nourrisson (MeSH), Plaies et blessures (imagerie diagnostique), Résultats fortuits (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Tomodensitométrie (méthodes), Études rétrospectives (MeSH).
- MESH :
- imagerie diagnostique : Plaies et blessures.
- méthodes : Tomodensitométrie.
- épidémiologie : Londres.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Marqueurs biologiques, Mâle, Nourrisson, Résultats fortuits, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Biomarkers (MeSH), COVID-19 (diagnostic imaging), COVID-19 (epidemiology), Child (MeSH), Child, Preschool (MeSH), Female (MeSH), Humans (MeSH), Incidental Findings (MeSH), Infant (MeSH), London (epidemiology), Male (MeSH), Middle Aged (MeSH), Retrospective Studies (MeSH), Tomography, X-Ray Computed (methods), Wounds and Injuries (diagnostic imaging), Young Adult (MeSH).
- MESH :
- chemical : Biomarkers.
- geographic , epidemiology : London.
- diagnostic imaging : COVID-19, Wounds and Injuries.
- epidemiology : COVID-19.
- methods : Tomography, X-Ray Computed.
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Incidental Findings, Infant, Male, Middle Aged, Retrospective Studies, Young Adult.
Abstract
AIM
To evaluate incidental findings in major trauma patients, and to explore whether computed tomography (CT) could be used to assess prevalence and estimate disease spread in the general population.
MATERIALS AND METHODS
The study population included all patients admitted following major trauma between 1 January 2020 and 30 April 2020 with CT including the lungs (n=523). Major trauma patients admitted pre-COVID-19 from 1-31 January and 1-31 March 2019 comprised a control group (n=252). The assessing radiologists, blinded to the time period, used double reading with consensus to determine if the patient had CT signs of COVID-19. Lung appearances were classified as no evidence of COVID-19; minor signs; or major signs. The proportion of patients with incidental COVID-19 changes was recorded over the study period, and the percentage of the population who had been affected by COVID-19 by the end of April 2020 estimated.
RESULTS
CT appearances consistent with COVID-19 began to exceed a background pre-COVID rate in the second week of February and did not decline until 2 weeks after lockdown. By the end of April 2020, approximately 45% of the population had been infected.
CONCLUSIONS
CT of major trauma patients can be used to monitor the spread of COVID-19. This novel technique could be used retrospectively or prospectively anywhere where trauma scans are available, to monitor the disease in the local population.
DOI: 10.1016/j.crad.2020.10.008
PubMed: 33246570
PubMed Central: PMC7603951
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Grubnic</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT</wicri:regionArea><wicri:noRegion>London SW17 0QT</wicri:noRegion></affiliation></author><author><name sortKey="Jacob, T M" sort="Jacob, T M" uniqKey="Jacob T" first="T M" last="Jacob">T M Jacob</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK. 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Incidental COVID-19 in major trauma patients suggests higher than predicted rates of infection in London.</title><author><name sortKey="Adam, E J" sort="Adam, E J" uniqKey="Adam E" first="E J" last="Adam">E J Adam</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT</wicri:regionArea><wicri:noRegion>London SW17 0QT</wicri:noRegion></affiliation></author><author><name sortKey="Grubnic, S" sort="Grubnic, S" uniqKey="Grubnic S" first="S" last="Grubnic">S. Grubnic</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT</wicri:regionArea><wicri:noRegion>London SW17 0QT</wicri:noRegion></affiliation></author><author><name sortKey="Jacob, T M" sort="Jacob, T M" uniqKey="Jacob T" first="T M" last="Jacob">T M Jacob</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK. Electronic address: tmessa@hotmail.com.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT</wicri:regionArea><wicri:noRegion>London SW17 0QT</wicri:noRegion></affiliation></author><author><name sortKey="Patel, J H" sort="Patel, J H" uniqKey="Patel J" first="J H" last="Patel">J H Patel</name><affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT</wicri:regionArea><wicri:noRegion>London SW17 0QT</wicri:noRegion></affiliation></author><author><name sortKey="Blanks, R" sort="Blanks, R" uniqKey="Blanks R" first="R" last="Blanks">R. Blanks</name><affiliation wicri:level="4"><nlm:affiliation>Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3 7LF, UK.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3 7LF</wicri:regionArea><orgName type="university">Université d'Oxford</orgName><placeName><settlement type="city">Oxford</settlement><region type="nation">Angleterre</region><region type="région" nuts="1">Oxfordshire</region></placeName></affiliation></author></analytic><series><title level="j">Clinical radiology</title><idno type="eISSN">1365-229X</idno><imprint><date when="2021" type="published">2021</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>Biomarkers (MeSH)</term><term>COVID-19 (diagnostic imaging)</term><term>COVID-19 (epidemiology)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Incidental Findings (MeSH)</term><term>Infant (MeSH)</term><term>London (epidemiology)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Retrospective Studies (MeSH)</term><term>Tomography, X-Ray Computed (methods)</term><term>Wounds and Injuries (diagnostic imaging)</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>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Londres (épidémiologie)</term><term>Marqueurs biologiques (MeSH)</term><term>Mâle (MeSH)</term><term>Nourrisson (MeSH)</term><term>Plaies et blessures (imagerie diagnostique)</term><term>Résultats fortuits (MeSH)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Tomodensitométrie (méthodes)</term><term>Études rétrospectives (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Biomarkers</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>London</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>COVID-19</term><term>Wounds and Injuries</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>COVID-19</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Plaies et blessures</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Tomodensitométrie</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Londres</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Incidental Findings</term><term>Infant</term><term>Male</term><term>Middle Aged</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>Enfant</term><term>Enfant d'âge préscolaire</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Marqueurs biologiques</term><term>Mâle</term><term>Nourrisson</term><term>Résultats fortuits</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études rétrospectives</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>AIM</b></p><p>To evaluate incidental findings in major trauma patients, and to explore whether computed tomography (CT) could be used to assess prevalence and estimate disease spread in the general population.</p></div><div type="abstract" xml:lang="en"><p><b>MATERIALS AND METHODS</b></p><p>The study population included all patients admitted following major trauma between 1 January 2020 and 30 April 2020 with CT including the lungs (n=523). Major trauma patients admitted pre-COVID-19 from 1-31 January and 1-31 March 2019 comprised a control group (n=252). The assessing radiologists, blinded to the time period, used double reading with consensus to determine if the patient had CT signs of COVID-19. Lung appearances were classified as no evidence of COVID-19; minor signs; or major signs. The proportion of patients with incidental COVID-19 changes was recorded over the study period, and the percentage of the population who had been affected by COVID-19 by the end of April 2020 estimated.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>CT appearances consistent with COVID-19 began to exceed a background pre-COVID rate in the second week of February and did not decline until 2 weeks after lockdown. By the end of April 2020, approximately 45% of the population had been infected.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>CT of major trauma patients can be used to monitor the spread of COVID-19. This novel technique could be used retrospectively or prospectively anywhere where trauma scans are available, to monitor the disease in the local population.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">33246570</PMID><DateCompleted><Year>2021</Year><Month>01</Month><Day>04</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-229X</ISSN><JournalIssue CitedMedium="Internet"><Volume>76</Volume><Issue>1</Issue><PubDate><Year>2021</Year><Month>Jan</Month></PubDate></JournalIssue><Title>Clinical radiology</Title><ISOAbbreviation>Clin Radiol</ISOAbbreviation></Journal><ArticleTitle>COVID-19: could CT provide the best population level biomarker? Incidental COVID-19 in major trauma patients suggests higher than predicted rates of infection in London.</ArticleTitle><Pagination><MedlinePgn>74.e15-74.e21</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0009-9260(20)30468-2</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.crad.2020.10.008</ELocationID><Abstract><AbstractText Label="AIM" NlmCategory="OBJECTIVE">To evaluate incidental findings in major trauma patients, and to explore whether computed tomography (CT) could be used to assess prevalence and estimate disease spread in the general population.</AbstractText><AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">The study population included all patients admitted following major trauma between 1 January 2020 and 30 April 2020 with CT including the lungs (n=523). Major trauma patients admitted pre-COVID-19 from 1-31 January and 1-31 March 2019 comprised a control group (n=252). The assessing radiologists, blinded to the time period, used double reading with consensus to determine if the patient had CT signs of COVID-19. Lung appearances were classified as no evidence of COVID-19; minor signs; or major signs. The proportion of patients with incidental COVID-19 changes was recorded over the study period, and the percentage of the population who had been affected by COVID-19 by the end of April 2020 estimated.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">CT appearances consistent with COVID-19 began to exceed a background pre-COVID rate in the second week of February and did not decline until 2 weeks after lockdown. By the end of April 2020, approximately 45% of the population had been infected.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">CT of major trauma patients can be used to monitor the spread of COVID-19. This novel technique could be used retrospectively or prospectively anywhere where trauma scans are available, to monitor the disease in the local population.</AbstractText><CopyrightInformation>Copyright © 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Adam</LastName><ForeName>E J</ForeName><Initials>EJ</Initials><AffiliationInfo><Affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Grubnic</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jacob</LastName><ForeName>T M</ForeName><Initials>TM</Initials><AffiliationInfo><Affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK. Electronic address: tmessa@hotmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Patel</LastName><ForeName>J H</ForeName><Initials>JH</Initials><AffiliationInfo><Affiliation>Department of Radiology, St George's University Hospitals NHS Trust, Blackshaw Road, Tooting, London SW17 0QT, UK.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Blanks</LastName><ForeName>R</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3 7LF, UK.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>10</Month><Day>31</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Clin Radiol</MedlineTA><NlmUniqueID>1306016</NlmUniqueID><ISSNLinking>0009-9260</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D015415">Biomarkers</NameOfSubstance></Chemical></ChemicalList><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="D015415" MajorTopicYN="N">Biomarkers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D033162" MajorTopicYN="Y">Incidental Findings</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008131" MajorTopicYN="N" Type="Geographic">London</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014947" MajorTopicYN="N">Wounds and Injuries</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>08</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>10</Month><Day>28</Day></PubMedPubDate><PubMedPubDate 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Blanks</name><name sortKey="Grubnic, S" sort="Grubnic, S" uniqKey="Grubnic S" first="S" last="Grubnic">S. Grubnic</name><name sortKey="Jacob, T M" sort="Jacob, T M" uniqKey="Jacob T" first="T M" last="Jacob">T M Jacob</name><name sortKey="Patel, J H" sort="Patel, J H" uniqKey="Patel J" first="J H" last="Patel">J H Patel</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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