Preliminary Data of a Quantitative Point of Care Test for SARS-CoV-2 Antibodies From Greece.
Identifieur interne : 000404 ( Main/Curation ); précédent : 000403; suivant : 000405Preliminary Data of a Quantitative Point of Care Test for SARS-CoV-2 Antibodies From Greece.
Auteurs : Paraskevi C. Fragkou [Grèce] ; Vassiliki Papaevangelou [Grèce] ; Anastasia Antoniadou [Grèce] ; Dimitra Kavvatha [Grèce] ; Agapi Ploussi [Grèce] ; Nikos Pantazis [Grèce] ; Tamta Sirmpilantze [Grèce] ; Christos Psarrakis [Grèce] ; Spyridon A. Pournaras [Grèce] ; Sotirios Tsiodras [Grèce] ; Alexis Kelekis [Grèce]Source :
- In vivo (Athens, Greece) [ 1791-7549 ]
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Anticorps antiviraux (isolement et purification), Anticorps antiviraux (sang), Betacoronavirus (isolement et purification), Betacoronavirus (pathogénicité), Grèce (épidémiologie), Humains (MeSH), Immunoglobuline G (isolement et purification), Immunoglobuline G (sang), Infections à coronavirus (diagnostic), Infections à coronavirus (virologie), Infections à coronavirus (épidémiologie), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (virologie), Pneumopathie virale (épidémiologie), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH), Systèmes automatisés lit malade (MeSH).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- isolement et purification : Anticorps antiviraux, Betacoronavirus, Immunoglobuline G.
- pathogénicité : Betacoronavirus.
- sang : Anticorps antiviraux, Immunoglobuline G.
- virologie : Infections à coronavirus, Pneumopathie virale.
- épidémiologie : Grèce, Infections à coronavirus, Pneumopathie virale.
- Adulte d'âge moyen, Humains, Mâle, Pandémies, Sensibilité et spécificité, Sujet âgé, Systèmes automatisés lit malade.
- Wicri :
- geographic : Grèce.
English descriptors
- KwdEn :
- Aged (MeSH), Antibodies, Viral (blood), Antibodies, Viral (isolation & purification), Betacoronavirus (isolation & purification), Betacoronavirus (pathogenicity), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (virology), Greece (epidemiology), Humans (MeSH), Immunoglobulin G (blood), Immunoglobulin G (isolation & purification), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (virology), Point-of-Care Systems (MeSH), Sensitivity and Specificity (MeSH).
- MESH :
- chemical , blood : Antibodies, Viral, Immunoglobulin G.
- chemical , isolation & purification : Antibodies, Viral, Immunoglobulin G.
- geographic , epidemiology : Greece.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- isolation & purification : Betacoronavirus.
- pathogenicity : Betacoronavirus.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Aged, Humans, Male, Middle Aged, Pandemics, Point-of-Care Systems, Sensitivity and Specificity.
Abstract
BACKGROUND
Antibody testing is necessary to identify immune individuals in the post-initial wave of the COVID-19 pandemic.
PATIENTS AND METHODS
We prospectively evaluated the performance of a quantitative point-of-care test (POCT) for SARS-CoV-2 antibodies. The patient group (PG) comprised of hospitalized confirmed COVID-19 cases. Asymptomatic healthcare volunteers with negative rRT-PCR were included in the control group (CG). Measurement of IgM and IgG was obtained by dry fluorescence immunoassay.
RESULTS
Twenty-six PG (65.9±15.4 years old, male 57.7%) and 18 CG (45.6±10.1 years old, male 33.3%) were included. By manufacturer's cut-off (≥0.04 mIU/ml), sensitivity and specificity were 73.08% and 88.89% for IgM and 88.46% and 33.33% for IgG, respectively. Estimated areas under the ROC curve were 0.907 and 0.848 for IgM and IgG, respectively. Results were improved using a cut-off of IgM ≥0.05 mIU/ml and IgG ≥0.10 mIU/ml.
CONCLUSION
Using stringent cut-off values, SARS-CoV-2 antibody POCT detects immune people and can be used during socioeconomic normalization of communities.
DOI: 10.21873/invivo.12138
PubMed: 32871850
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Antibodies, Viral (blood)</term>
<term>Antibodies, Viral (isolation & purification)</term>
<term>Betacoronavirus (isolation & purification)</term>
<term>Betacoronavirus (pathogenicity)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Greece (epidemiology)</term>
<term>Humans (MeSH)</term>
<term>Immunoglobulin G (blood)</term>
<term>Immunoglobulin G (isolation & purification)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (virology)</term>
<term>Point-of-Care Systems (MeSH)</term>
<term>Sensitivity and Specificity (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term>
<term>Anticorps antiviraux (isolement et purification)</term>
<term>Anticorps antiviraux (sang)</term>
<term>Betacoronavirus (isolement et purification)</term>
<term>Betacoronavirus (pathogénicité)</term>
<term>Grèce (épidémiologie)</term>
<term>Humains (MeSH)</term>
<term>Immunoglobuline G (isolement et purification)</term>
<term>Immunoglobuline G (sang)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (virologie)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Sensibilité et spécificité (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Systèmes automatisés lit malade (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Antibodies, Viral</term>
<term>Immunoglobulin G</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="isolation & purification" xml:lang="en"><term>Antibodies, Viral</term>
<term>Immunoglobulin G</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Greece</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="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Anticorps antiviraux</term>
<term>Betacoronavirus</term>
<term>Immunoglobuline G</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="sang" xml:lang="fr"><term>Anticorps antiviraux</term>
<term>Immunoglobuline G</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grèce</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Point-of-Care Systems</term>
<term>Sensitivity and Specificity</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term>
<term>Humains</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sensibilité et spécificité</term>
<term>Sujet âgé</term>
<term>Systèmes automatisés lit malade</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Grèce</term>
</keywords>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>Antibody testing is necessary to identify immune individuals in the post-initial wave of the COVID-19 pandemic.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>PATIENTS AND METHODS</b>
</p>
<p>We prospectively evaluated the performance of a quantitative point-of-care test (POCT) for SARS-CoV-2 antibodies. The patient group (PG) comprised of hospitalized confirmed COVID-19 cases. Asymptomatic healthcare volunteers with negative rRT-PCR were included in the control group (CG). Measurement of IgM and IgG was obtained by dry fluorescence immunoassay.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Twenty-six PG (65.9±15.4 years old, male 57.7%) and 18 CG (45.6±10.1 years old, male 33.3%) were included. By manufacturer's cut-off (≥0.04 mIU/ml), sensitivity and specificity were 73.08% and 88.89% for IgM and 88.46% and 33.33% for IgG, respectively. Estimated areas under the ROC curve were 0.907 and 0.848 for IgM and IgG, respectively. Results were improved using a cut-off of IgM ≥0.05 mIU/ml and IgG ≥0.10 mIU/ml.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Using stringent cut-off values, SARS-CoV-2 antibody POCT detects immune people and can be used during socioeconomic normalization of communities.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>07</Day>
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<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>07</Day>
</DateRevised>
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<JournalIssue CitedMedium="Internet"><Volume>34</Volume>
<Issue>5</Issue>
<PubDate><MedlineDate>2020 Sep-Oct</MedlineDate>
</PubDate>
</JournalIssue>
<Title>In vivo (Athens, Greece)</Title>
<ISOAbbreviation>In Vivo</ISOAbbreviation>
</Journal>
<ArticleTitle>Preliminary Data of a Quantitative Point of Care Test for SARS-CoV-2 Antibodies From Greece.</ArticleTitle>
<Pagination><MedlinePgn>3039-3045</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.21873/invivo.12138</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Antibody testing is necessary to identify immune individuals in the post-initial wave of the COVID-19 pandemic.</AbstractText>
<AbstractText Label="PATIENTS AND METHODS" NlmCategory="METHODS">We prospectively evaluated the performance of a quantitative point-of-care test (POCT) for SARS-CoV-2 antibodies. The patient group (PG) comprised of hospitalized confirmed COVID-19 cases. Asymptomatic healthcare volunteers with negative rRT-PCR were included in the control group (CG). Measurement of IgM and IgG was obtained by dry fluorescence immunoassay.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Twenty-six PG (65.9±15.4 years old, male 57.7%) and 18 CG (45.6±10.1 years old, male 33.3%) were included. By manufacturer's cut-off (≥0.04 mIU/ml), sensitivity and specificity were 73.08% and 88.89% for IgM and 88.46% and 33.33% for IgG, respectively. Estimated areas under the ROC curve were 0.907 and 0.848 for IgM and IgG, respectively. Results were improved using a cut-off of IgM ≥0.05 mIU/ml and IgG ≥0.10 mIU/ml.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Using stringent cut-off values, SARS-CoV-2 antibody POCT detects immune people and can be used during socioeconomic normalization of communities.</AbstractText>
<CopyrightInformation>Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fragkou</LastName>
<ForeName>Paraskevi C</ForeName>
<Initials>PC</Initials>
<AffiliationInfo><Affiliation>Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Papaevangelou</LastName>
<ForeName>Vassiliki</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Third Department of Pediatrics, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Antoniadou</LastName>
<ForeName>Anastasia</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kavvatha</LastName>
<ForeName>Dimitra</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ploussi</LastName>
<ForeName>Agapi</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Second Department of Radiology, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pantazis</LastName>
<ForeName>Nikos</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sirmpilantze</LastName>
<ForeName>Tamta</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Psarrakis</LastName>
<ForeName>Christos</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pournaras</LastName>
<ForeName>Spyridon A</ForeName>
<Initials>SA</Initials>
<AffiliationInfo><Affiliation>Clinical Microbiology Laboratory, Attikon University General Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tsiodras</LastName>
<ForeName>Sotirios</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Fourth Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kelekis</LastName>
<ForeName>Alexis</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Second Department of Radiology, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece akelekis@med.uoa.gr.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>Greece</Country>
<MedlineTA>In Vivo</MedlineTA>
<NlmUniqueID>8806809</NlmUniqueID>
<ISSNLinking>0258-851X</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000914">Antibodies, Viral</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007074">Immunoglobulin G</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="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000914" MajorTopicYN="N">Antibodies, Viral</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName>
<QualifierName UI="Q000472" MajorTopicYN="N">pathogenicity</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006115" MajorTopicYN="N" Type="Geographic">Greece</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007074" MajorTopicYN="N">Immunoglobulin G</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</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="Y">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019095" MajorTopicYN="N">Point-of-Care Systems</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">IgG</Keyword>
<Keyword MajorTopicYN="N">IgM</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">antibodies</Keyword>
<Keyword MajorTopicYN="N">diagnostics</Keyword>
<Keyword MajorTopicYN="N">novel coronavirus</Keyword>
<Keyword MajorTopicYN="N">point-of-care testing</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>06</Month>
<Day>02</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>06</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>06</Month>
<Day>16</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>9</Month>
<Day>3</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>9</Month>
<Day>3</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>9</Month>
<Day>8</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32871850</ArticleId>
<ArticleId IdType="pii">34/5/3039</ArticleId>
<ArticleId IdType="doi">10.21873/invivo.12138</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
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