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About:
Performance of six SARS-CoV-2 immunoassays in comparison with microneutralisation
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.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
Performance of six SARS-CoV-2 immunoassays in comparison with microneutralisation
Creator
Kuivanen, S
Vapalahti, O
Jääskeläinen, Anne
Kallio-Kokko,
Jarva, H
Kallio-Kokko, H
Kekäläinen, E
Kurkela, S
Lappalainen, M
Loginov, R
Aj, Jääskeläinen
Lappalainen,
Mj, Ahava
Ahava, M
Jääskeläinen, A
Source
Elsevier; Medline; PMC
abstract
There is an urgent need for reliable high-throughput serological assays for the management of the ongoing COVID-19 pandemic. Preferably, the performance of serological tests for a novel virus should be determined with clinical specimens against a gold standard, i.e. virus neutralisation. We compared the performance of six commercial immunoassays for the detection of SARS-CoV-2 IgG, IgA and IgM antibodies, including four automated assays [Abbott SARS-COV-2 IgG (CE marked), Diasorin Liaison® SARS-CoV-2 S1/S2 IgG (research use only, RUO), and Euroimmun SARS-CoV-2 IgG and IgA (CE marked)], and two rapid lateral flow (immunocromatographic) tests [Acro Biotech 2019-nCoV IgG/IgM (CE marked) and Xiamen Biotime Biotechnology SARS-CoV-2 IgG/IgM (CE marked)] with a microneutralisation test (MNT). Two specimen panels from serum samples sent to Helsinki University Hospital Laboratory (HUSLAB) were compiled: the patient panel (N=70) included sera from PCR confirmed COVID-19 patients, and the negative panel (N=81) included sera sent for screening of autoimmune diseases and respiratory virus antibodies in 2018 and 2019. The MNT was carried out for all COVID-19 samples (70 serum samples, 62 individuals) and for 53 samples from the negative panel. Forty-one out of 62 COVID-19 patients showed neutralising antibodies.The specificity and sensitivity values of the commercial tests against MNT, respectively, were as follows: 95.1%/80.5% (Abbott Architect SARS-CoV-2 IgG), 94.9%/43.8% (Diasorin Liaison SARS-CoV-2 IgG; RUO), 68.3%/87.8% (Euroimmun SARS-CoV-2 IgA), 86.6%/70.7% (Euroimmun SARS-CoV-2 IgG), 74.4%/56.1% (Acro 2019-nCoV IgG), 69.5%/46.3% (Acro 2019-nCoV IgM), 97.5%/71.9% (Xiamen Biotime SARS-CoV-2 IgG), and 88.8%/81.3% (Xiamen Biotime SARS-CoV-2 IgM). This study shows variable performance values. Laboratories should carefully consider their testing process, such as a two-tier approach, in order to optimize the overall performance of SARS- CoV-2 serodiagnostics.
has issue date
2020-06-15
(
xsd:dateTime
)
bibo:doi
10.1016/j.jcv.2020.104512
bibo:pmid
32563180
has license
no-cc
sha1sum (hex)
6736a4254ea20359949e299b4cb0fa3b52c350ae
schema:url
https://doi.org/10.1016/j.jcv.2020.104512
resource representing a document's title
Performance of six SARS-CoV-2 immunoassays in comparison with microneutralisation
has PubMed Central identifier
PMC7295517
has PubMed identifier
32563180
schema:publication
J Clin Virol
resource representing a document's body
covid:6736a4254ea20359949e299b4cb0fa3b52c350ae#body_text
is
schema:about
of
named entity 'COVID-19'
named entity '2019 in Finland'
named entity 'IgG'
named entity 'IgG'
named entity 'SARS-CoV-2'
named entity 'Rheumatoid factor'
named entity 'lateral flow assays'
named entity 'IgG/IgM'
named entity 'immunoassays'
named entity 'serum'
named entity 'antigen'
named entity 'Helsinki University Hospital'
named entity 'SARS-CoV-2'
named entity 'IgG'
named entity 'IgA'
named entity 'IgG'
named entity 'lateral flow'
named entity '99.9%'
named entity '+358'
named entity '+358'
named entity 'Immunology'
named entity 'IgG'
named entity 'median age'
named entity 'Finland'
named entity 'seroconversion'
named entity 'serum samples'
named entity 'antigen'
named entity 'antibodies'
named entity 'IgG/IgM'
named entity 'SARS-CoV-2'
named entity 'immunoassays'
named entity 'antigen'
named entity 'IgG'
named entity 'SARS-CoV-2'
named entity 'IgG'
named entity 'Xiamen'
named entity 'autoantibody'
named entity 'gold standard'
named entity 'serum'
named entity 'nucleoprotein'
named entity 'antibodies'
named entity 'positive reaction'
named entity 'COVID-19'
named entity 'prozone effect'
named entity 'COVID'
named entity 'autoantibodies'
named entity 'IgG'
named entity 'IgA'
named entity 'immunoassays'
named entity 'SARS-CoV-2'
named entity 'CO2'
named entity 'COVID-19 pandemic'
named entity 'serological assay'
named entity 'crystal violet'
named entity 'COVID'
named entity 'SARS-CoV-2'
named entity 'SARS-COV-2'
named entity 'Department of Virology'
named entity 'public health management'
named entity 'SARS-CoV-2'
named entity 'SARS-CoV-2'
named entity 'seroconversion'
named entity 'DiaSorin'
named entity 'IgG'
named entity 'IgG'
named entity '1:2'
named entity 'growth medium'
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