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About:
Evaluation of the performance of SARS-CoV-2 serological tools and their positioning in COVID-19 diagnostic strategies
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Evaluation of the performance of SARS-CoV-2 serological tools and their positioning in COVID-19 diagnostic strategies
Creator
Fafi-Kremer, Samira
Schneider, Francis
Collange, Olivier
Danion, François
Gallais, Floriane
Meziani, Ferhat
Schmidt-Mutter, Catherine
Benotmane, Ilies
Bilbault, Pascal
De Sèze, Jérôme
Velay, Aurelie
Wendling, Marie
Source
Elsevier; PMC
abstract
Rapid and accurate diagnosis is crucial for successful outbreak containment. During the current COVID-19 public health emergency, the gold standard for SARS-CoV-2 infection diagnosis is the detection of viral RNA. Additional diagnostic methods enabling the detection of current or past SARS-CoV-2 infection would be highly beneficial. We assessed two immunochromatographic lateral flow assays (LFA-1, LFA-2) and two ELISA kits (IgA /IgG ELISA-1, IgM /IgG ELISA-2) using 325 samples: serum samples from PCR-confirmed COVID-19 hospitalized patients (n = 55) and healthcare workers (n = 143) and 127 samples from negative controls. Diagnostic performances were assessed according to days after symptom onset (dso) and the antigenic format used by manufacturers. Clinical sensitivities varied greatly among the assays, showing poor mutual agreement. After 15 dso, ELISA-1 (Euroimmun) and LFA-1 (Biosynex) combining IgM and IgG detection showed the best performances. A thorough selection of serological assays for the detection of ongoing or past infections is advisable.
has issue date
2020-08-21
(
xsd:dateTime
)
bibo:doi
10.1016/j.diagmicrobio.2020.115181
has license
no-cc
sha1sum (hex)
320f87237947edf11bb868d83a81a283d721c2d8
schema:url
https://doi.org/10.1016/j.diagmicrobio.2020.115181
resource representing a document's title
Evaluation of the performance of SARS-CoV-2 serological tools and their positioning in COVID-19 diagnostic strategies
has PubMed Central identifier
PMC7441068
schema:publication
Diagn Microbiol Infect Dis
resource representing a document's body
covid:320f87237947edf11bb868d83a81a283d721c2d8#body_text
is
schema:about
of
named entity 'highly'
named entity 'assessed'
named entity 'Performances'
named entity 'LFA-1'
named entity 'assays'
named entity 'Journal'
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named entity 'clinical'
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named entity 'Revised'
named entity 'SARS-CoV-2'
named entity 'ongoing'
named entity 'assays'
named entity 'samples'
named entity 'onset'
named entity 'healthcare'
named entity 'symptom'
named entity 'format'
named entity 'selection'
named entity 'infection'
named entity 'samples'
named entity 'Highlights'
named entity 'Journal'
named entity 'samples'
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named entity 'accurate'
named entity 'performance'
named entity 'performance'
named entity 'IgM'
named entity 'lateral flow assays'
named entity 'dso'
named entity 'symptom'
named entity 'diagnostic methods'
named entity 'infection'
named entity 'IgM'
named entity 'PCR'
named entity 'IgG'
named entity 'immunochromatographic'
named entity 'LFA-1'
named entity 'symptom'
named entity 'serological'
named entity 'COVID'
named entity 'infections'
named entity 'antigenic'
named entity 'LFA-2'
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named entity 'IgG'
named entity 'SARS-CoV-2'
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named entity 'antibodies'
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named entity 'rheumatoid factor'
named entity 'IgM'
named entity 'polymerase chain reaction'
named entity 'IgA'
named entity 'nucleocapsid'
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