Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases.
Identifieur interne : 000655 ( Main/Exploration ); précédent : 000654; suivant : 000656Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases.
Auteurs : H. Zeng [République populaire de Chine] ; S. Deng [République populaire de Chine] ; Z. Zhou [République populaire de Chine] ; X. Qiu [République populaire de Chine] ; X. Jia [République populaire de Chine] ; Z. Li [République populaire de Chine] ; J. Wang [République populaire de Chine] ; H. Duan [République populaire de Chine] ; L. Tu [République populaire de Chine] ; J. Wang [République populaire de Chine]Source :
- Public health [ 1476-5616 ] ; 2020.
Descripteurs français
- KwdFr :
- Acides nucléiques (isolement et purification), Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Anticorps antiviraux (isolement et purification), Betacoronavirus (génétique), Betacoronavirus (immunologie), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Humains (MeSH), Immunoglobuline G (isolement et purification), Immunoglobuline M (isolement et purification), Infections à coronavirus (diagnostic), Infections à coronavirus (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (épidémiologie), Reproductibilité des résultats (MeSH), Sujet âgé (MeSH), Techniques de laboratoire clinique (méthodes), Études rétrospectives (MeSH).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- génétique : Betacoronavirus.
- immunologie : Betacoronavirus.
- isolement et purification : Acides nucléiques, Anticorps antiviraux, Immunoglobuline G, Immunoglobuline M.
- méthodes : Techniques de laboratoire clinique.
- épidémiologie : Infections à coronavirus, Pneumopathie virale.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Mâle, Pandémies, Reproductibilité des résultats, Sujet âgé, Études rétrospectives.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Antibodies, Viral (isolation & purification), Betacoronavirus (genetics), Betacoronavirus (immunology), Child (MeSH), Child, Preschool (MeSH), Clinical Laboratory Techniques (methods), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Female (MeSH), Humans (MeSH), Immunoglobulin G (isolation & purification), Immunoglobulin M (isolation & purification), Male (MeSH), Middle Aged (MeSH), Nucleic Acids (isolation & purification), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Reproducibility of Results (MeSH), Retrospective Studies (MeSH), Young Adult (MeSH).
- MESH :
- chemical , isolation & purification : Antibodies, Viral, Immunoglobulin G, Immunoglobulin M, Nucleic Acids.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- genetics : Betacoronavirus.
- immunology : Betacoronavirus.
- methods : Clinical Laboratory Techniques.
- Adolescent, Adult, Aged, Child, Child, Preschool, Female, Humans, Male, Middle Aged, Pandemics, Reproducibility of Results, Retrospective Studies, Young Adult.
Abstract
OBJECTIVES
Nucleic acid testing is the gold standard method for the diagnosis of coronavirus disease 2019 (COVID-19); however, large numbers of false-negative results have been reported. In this study, nucleic acid detection and antibody detection (IgG and IgM) were combined to improve the testing accuracy of patients with suspected COVID-19.
STUDY DESIGN
The positive rate of nucleic acid detection and antibody detection (IgG and IgM) were compared in suspected COVID-19 patients.
METHODS
A total of 71 patients with suspected COVID-19 were selected to participate in this study, which included a retrospective analysis of clinical features, imaging examination, laboratory biochemical examination and nucleic acid detection and specific antibody (IgM and IgG) detection.
RESULTS
The majority of participants with suspected COVID-19 presented with fever (67.61%) and cough (54.93%), and the imaging results showed multiple small patches and ground-glass opacity in both lungs, with less common infiltration and consolidation opacity (23.94%). Routine blood tests were mostly normal (69.01%), although only a few patients had lymphopenia (4.23%) or leucopenia (12.68%). There was no statistical difference in the double-positive rate between nucleic acid detection (46.48%) and specific antibody (IgG and IgM) detection (42.25%) (P = 0.612), both of which were also poorly consistent with each other (kappa = 0.231). The positive rate of combined nucleic acid detection and antibody detection (63.38%) was significantly increased, compared with that of nucleic acid detection (46.48%) and that of specific antibody (IgG and IgM) detection (42.25%), and the differences were statistically significant (P = 0.043 and P = 0.012, respectively).
CONCLUSIONS
Nucleic acid detection and specific antibody (IgG and IgM) detection had similar positive rates, and their combination could improve the positive rate of COVID-19 detection, which is of great significance for diagnosis and epidemic control.
DOI: 10.1016/j.puhe.2020.07.011
PubMed: 32731151
PubMed Central: PMC7351380
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases.</title>
<author><name sortKey="Zeng, H" sort="Zeng, H" uniqKey="Zeng H" first="H" last="Zeng">H. Zeng</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Deng, S" sort="Deng, S" uniqKey="Deng S" first="S" last="Deng">S. Deng</name>
<affiliation wicri:level="1"><nlm:affiliation>Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808</wicri:regionArea>
<wicri:noRegion>Dongguan 523808</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Zhou, Z" sort="Zhou, Z" uniqKey="Zhou Z" first="Z" last="Zhou">Z. Zhou</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Qiu, X" sort="Qiu, X" uniqKey="Qiu X" first="X" last="Qiu">X. Qiu</name>
<affiliation wicri:level="1"><nlm:affiliation>Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Jia, X" sort="Jia, X" uniqKey="Jia X" first="X" last="Jia">X. Jia</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Li, Z" sort="Li, Z" uniqKey="Li Z" first="Z" last="Li">Z. Li</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, J" sort="Wang, J" uniqKey="Wang J" first="J" last="Wang">J. Wang</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Duan, H" sort="Duan, H" uniqKey="Duan H" first="H" last="Duan">H. Duan</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Tu, L" sort="Tu, L" uniqKey="Tu L" first="L" last="Tu">L. Tu</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, J" sort="Wang, J" uniqKey="Wang J" first="J" last="Wang">J. Wang</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China. Electronic address: wangjunli0110@163.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32731151</idno>
<idno type="pmid">32731151</idno>
<idno type="doi">10.1016/j.puhe.2020.07.011</idno>
<idno type="pmc">PMC7351380</idno>
<idno type="wicri:Area/Main/Corpus">000916</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000916</idno>
<idno type="wicri:Area/Main/Curation">000916</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000916</idno>
<idno type="wicri:Area/Main/Exploration">000916</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases.</title>
<author><name sortKey="Zeng, H" sort="Zeng, H" uniqKey="Zeng H" first="H" last="Zeng">H. Zeng</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Deng, S" sort="Deng, S" uniqKey="Deng S" first="S" last="Deng">S. Deng</name>
<affiliation wicri:level="1"><nlm:affiliation>Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808</wicri:regionArea>
<wicri:noRegion>Dongguan 523808</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Zhou, Z" sort="Zhou, Z" uniqKey="Zhou Z" first="Z" last="Zhou">Z. Zhou</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Qiu, X" sort="Qiu, X" uniqKey="Qiu X" first="X" last="Qiu">X. Qiu</name>
<affiliation wicri:level="1"><nlm:affiliation>Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Jia, X" sort="Jia, X" uniqKey="Jia X" first="X" last="Jia">X. Jia</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Li, Z" sort="Li, Z" uniqKey="Li Z" first="Z" last="Li">Z. Li</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, J" sort="Wang, J" uniqKey="Wang J" first="J" last="Wang">J. Wang</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Duan, H" sort="Duan, H" uniqKey="Duan H" first="H" last="Duan">H. Duan</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Tu, L" sort="Tu, L" uniqKey="Tu L" first="L" last="Tu">L. Tu</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wang, J" sort="Wang, J" uniqKey="Wang J" first="J" last="Wang">J. Wang</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China. Electronic address: wangjunli0110@163.com.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110</wicri:regionArea>
<placeName><settlement type="city">Shenzhen</settlement>
<region type="province">Guangdong</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Public health</title>
<idno type="eISSN">1476-5616</idno>
<imprint><date when="2020" type="published">2020</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>Antibodies, Viral (isolation & purification)</term>
<term>Betacoronavirus (genetics)</term>
<term>Betacoronavirus (immunology)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>Clinical Laboratory Techniques (methods)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Immunoglobulin G (isolation & purification)</term>
<term>Immunoglobulin M (isolation & purification)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Nucleic Acids (isolation & purification)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Reproducibility of Results (MeSH)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Acides nucléiques (isolement et purification)</term>
<term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Anticorps antiviraux (isolement et purification)</term>
<term>Betacoronavirus (génétique)</term>
<term>Betacoronavirus (immunologie)</term>
<term>Enfant (MeSH)</term>
<term>Enfant d'âge préscolaire (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Immunoglobuline G (isolement et purification)</term>
<term>Immunoglobuline M (isolement et purification)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (épidémiologie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (épidémiologie)</term>
<term>Reproductibilité des résultats (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Techniques de laboratoire clinique (méthodes)</term>
<term>Études rétrospectives (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="isolation & purification" xml:lang="en"><term>Antibodies, Viral</term>
<term>Immunoglobulin G</term>
<term>Immunoglobulin M</term>
<term>Nucleic Acids</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="genetics" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Acides nucléiques</term>
<term>Anticorps antiviraux</term>
<term>Immunoglobuline G</term>
<term>Immunoglobuline M</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Clinical Laboratory Techniques</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Techniques de laboratoire clinique</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Reproducibility of Results</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>Mâle</term>
<term>Pandémies</term>
<term>Reproductibilité des résultats</term>
<term>Sujet âgé</term>
<term>Études rétrospectives</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b>
</p>
<p>Nucleic acid testing is the gold standard method for the diagnosis of coronavirus disease 2019 (COVID-19); however, large numbers of false-negative results have been reported. In this study, nucleic acid detection and antibody detection (IgG and IgM) were combined to improve the testing accuracy of patients with suspected COVID-19.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>STUDY DESIGN</b>
</p>
<p>The positive rate of nucleic acid detection and antibody detection (IgG and IgM) were compared in suspected COVID-19 patients.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>A total of 71 patients with suspected COVID-19 were selected to participate in this study, which included a retrospective analysis of clinical features, imaging examination, laboratory biochemical examination and nucleic acid detection and specific antibody (IgM and IgG) detection.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>The majority of participants with suspected COVID-19 presented with fever (67.61%) and cough (54.93%), and the imaging results showed multiple small patches and ground-glass opacity in both lungs, with less common infiltration and consolidation opacity (23.94%). Routine blood tests were mostly normal (69.01%), although only a few patients had lymphopenia (4.23%) or leucopenia (12.68%). There was no statistical difference in the double-positive rate between nucleic acid detection (46.48%) and specific antibody (IgG and IgM) detection (42.25%) (P = 0.612), both of which were also poorly consistent with each other (kappa = 0.231). The positive rate of combined nucleic acid detection and antibody detection (63.38%) was significantly increased, compared with that of nucleic acid detection (46.48%) and that of specific antibody (IgG and IgM) detection (42.25%), and the differences were statistically significant (P = 0.043 and P = 0.012, respectively).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Nucleic acid detection and specific antibody (IgG and IgM) detection had similar positive rates, and their combination could improve the positive rate of COVID-19 detection, which is of great significance for diagnosis and epidemic control.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32731151</PMID>
<DateCompleted><Year>2020</Year>
<Month>10</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>10</Month>
<Day>06</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1476-5616</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>186</Volume>
<PubDate><Year>2020</Year>
<Month>Sep</Month>
</PubDate>
</JournalIssue>
<Title>Public health</Title>
<ISOAbbreviation>Public Health</ISOAbbreviation>
</Journal>
<ArticleTitle>Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases.</ArticleTitle>
<Pagination><MedlinePgn>1-5</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0033-3506(20)30306-1</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.puhe.2020.07.011</ELocationID>
<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Nucleic acid testing is the gold standard method for the diagnosis of coronavirus disease 2019 (COVID-19); however, large numbers of false-negative results have been reported. In this study, nucleic acid detection and antibody detection (IgG and IgM) were combined to improve the testing accuracy of patients with suspected COVID-19.</AbstractText>
<AbstractText Label="STUDY DESIGN" NlmCategory="METHODS">The positive rate of nucleic acid detection and antibody detection (IgG and IgM) were compared in suspected COVID-19 patients.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A total of 71 patients with suspected COVID-19 were selected to participate in this study, which included a retrospective analysis of clinical features, imaging examination, laboratory biochemical examination and nucleic acid detection and specific antibody (IgM and IgG) detection.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The majority of participants with suspected COVID-19 presented with fever (67.61%) and cough (54.93%), and the imaging results showed multiple small patches and ground-glass opacity in both lungs, with less common infiltration and consolidation opacity (23.94%). Routine blood tests were mostly normal (69.01%), although only a few patients had lymphopenia (4.23%) or leucopenia (12.68%). There was no statistical difference in the double-positive rate between nucleic acid detection (46.48%) and specific antibody (IgG and IgM) detection (42.25%) (P = 0.612), both of which were also poorly consistent with each other (kappa = 0.231). The positive rate of combined nucleic acid detection and antibody detection (63.38%) was significantly increased, compared with that of nucleic acid detection (46.48%) and that of specific antibody (IgG and IgM) detection (42.25%), and the differences were statistically significant (P = 0.043 and P = 0.012, respectively).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Nucleic acid detection and specific antibody (IgG and IgM) detection had similar positive rates, and their combination could improve the positive rate of COVID-19 detection, which is of great significance for diagnosis and epidemic control.</AbstractText>
<CopyrightInformation>Copyright © 2020. Published by Elsevier Ltd.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zeng</LastName>
<ForeName>H</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Deng</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Scientific Research Platform, The Second Clinical Medical College, Guangdong Medical University, Dongguan 523808, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhou</LastName>
<ForeName>Z</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Department of Radiology, Shenzhen People's Hospital, Shenzhen 518020, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Qiu</LastName>
<ForeName>X</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Special Clinic Department, Southern University of Science and Technology Hospital, Shenzhen 518052, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jia</LastName>
<ForeName>X</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Laboratory Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Z</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Duan</LastName>
<ForeName>H</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tu</LastName>
<ForeName>L</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory and Critical Care Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518110, China. Electronic address: wangjunli0110@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>10</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>Netherlands</Country>
<MedlineTA>Public Health</MedlineTA>
<NlmUniqueID>0376507</NlmUniqueID>
<ISSNLinking>0033-3506</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>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007075">Immunoglobulin M</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D009696">Nucleic Acids</NameOfSubstance>
</Chemical>
</ChemicalList>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<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="D000914" MajorTopicYN="N">Antibodies, Viral</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</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>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007074" MajorTopicYN="N">Immunoglobulin G</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007075" MajorTopicYN="N">Immunoglobulin M</DescriptorName>
<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="D009696" MajorTopicYN="N">Nucleic Acids</DescriptorName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">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>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">IgG and IgM antibody detection</Keyword>
<Keyword MajorTopicYN="N">Novel coronavirus infection</Keyword>
<Keyword MajorTopicYN="N">Nucleic acid detection</Keyword>
<Keyword MajorTopicYN="N">Suspected cases</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>04</Month>
<Day>29</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>06</Month>
<Day>30</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>07</Month>
<Day>06</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>7</Month>
<Day>31</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>10</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>7</Month>
<Day>31</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32731151</ArticleId>
<ArticleId IdType="pii">S0033-3506(20)30306-1</ArticleId>
<ArticleId IdType="doi">10.1016/j.puhe.2020.07.011</ArticleId>
<ArticleId IdType="pmc">PMC7351380</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
<region><li>Guangdong</li>
</region>
<settlement><li>Shenzhen</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><region name="Guangdong"><name sortKey="Zeng, H" sort="Zeng, H" uniqKey="Zeng H" first="H" last="Zeng">H. Zeng</name>
</region>
<name sortKey="Deng, S" sort="Deng, S" uniqKey="Deng S" first="S" last="Deng">S. Deng</name>
<name sortKey="Duan, H" sort="Duan, H" uniqKey="Duan H" first="H" last="Duan">H. Duan</name>
<name sortKey="Jia, X" sort="Jia, X" uniqKey="Jia X" first="X" last="Jia">X. Jia</name>
<name sortKey="Li, Z" sort="Li, Z" uniqKey="Li Z" first="Z" last="Li">Z. Li</name>
<name sortKey="Qiu, X" sort="Qiu, X" uniqKey="Qiu X" first="X" last="Qiu">X. Qiu</name>
<name sortKey="Tu, L" sort="Tu, L" uniqKey="Tu L" first="L" last="Tu">L. Tu</name>
<name sortKey="Wang, J" sort="Wang, J" uniqKey="Wang J" first="J" last="Wang">J. Wang</name>
<name sortKey="Wang, J" sort="Wang, J" uniqKey="Wang J" first="J" last="Wang">J. Wang</name>
<name sortKey="Zhou, Z" sort="Zhou, Z" uniqKey="Zhou Z" first="Z" last="Zhou">Z. Zhou</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000655 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000655 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= CovidSeniorV1 |flux= Main |étape= Exploration |type= RBID |clé= pubmed:32731151 |texte= Diagnostic value of combined nucleic acid and antibody detection in suspected COVID-19 cases. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32731151" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \ | NlmPubMed2Wicri -a CovidSeniorV1
This area was generated with Dilib version V0.6.37. |