Proficiency testing for the detection of Middle East respiratory syndrome coronavirus demonstrates global capacity to detect Middle East respiratory syndrome coronavirus.
Identifieur interne : 000845 ( Main/Exploration ); précédent : 000844; suivant : 000846Proficiency testing for the detection of Middle East respiratory syndrome coronavirus demonstrates global capacity to detect Middle East respiratory syndrome coronavirus.
Auteurs : Torsten Theis [Australie] ; Katherine A. Lau [Australie] ; Joanna L. Gray [Australie] ; Christopher J. Oxenford [France] ; Gregory J. Walker [Australie] ; William D. Rawlinson [Australie]Source :
- Journal of medical virology [ 1096-9071 ] ; 2018.
Descripteurs français
- KwdFr :
- MESH :
- diagnostic : Infections à coronavirus.
- isolement et purification : Coronavirus du syndrome respiratoire du Moyen-Orient.
- Humains, Santé mondiale, Sensibilité et spécificité, Évaluation de la compétence des laboratoires.
English descriptors
- KwdEn :
- MESH :
- diagnosis : Coronavirus Infections.
- isolation & purification : Middle East Respiratory Syndrome Coronavirus.
- Global Health, Humans, Laboratory Proficiency Testing, Sensitivity and Specificity.
Abstract
The first reported case of Middle East respiratory syndrome coronavirus (MERS-CoV) infection was identified in Saudi Arabia in September 2012, since which time there have been over 2000 laboratory-confirmed cases, including 750 deaths in 27 countries. Nucleic acid testing (NAT) is the preferred method for the detection of MERS-CoV. A single round of a Proficiency Testing Program (PTP) was used to assess the capability of laboratories globally to accurately detect the presence of MERS-CoV using NAT. A panel of eleven lyophilized specimens containing different viral loads of MERS-CoV, common coronaviruses, and in vitro RNA transcripts was distributed to laboratories in all six World Health Organization regions. A total of 96 laboratories from 79 countries participating in the PTP, with 76 of 96 (79.2%) reporting correct MERS-CoV results for all nine scored specimens. A further 10 laboratories (10.4%) scored correctly in eight of nine specimens of the PTP. The majority of laboratories demonstrated satisfactory performance in detecting the presence of MERS-CoV using NAT. However, some laboratories require improved assay sensitivity, reduced cross contamination of samples, and improved speciation of coronavirus subtypes for potentially complex clinical specimens. Further PTP and enhanced links with expert laboratories globally may improve the laboratory performance.
DOI: 10.1002/jmv.25266
PubMed: 30016543
Affiliations:
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Lau</name><affiliation wicri:level="1"><nlm:affiliation>Royal College of Pathologists of Australasia Quality Assurance Programs, Biosecurity Department, Sydney, New South Wales, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Royal College of Pathologists of Australasia Quality Assurance Programs, Biosecurity Department, Sydney, New South Wales</wicri:regionArea><wicri:noRegion>New South Wales</wicri:noRegion></affiliation></author><author><name sortKey="Gray, Joanna L" sort="Gray, Joanna L" uniqKey="Gray J" first="Joanna L" last="Gray">Joanna L. Gray</name><affiliation wicri:level="1"><nlm:affiliation>Royal College of Pathologists of Australasia Quality Assurance Programs, Biosecurity Department, Sydney, New South Wales, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Royal College of Pathologists of Australasia Quality Assurance Programs, Biosecurity Department, Sydney, New South Wales</wicri:regionArea><wicri:noRegion>New South Wales</wicri:noRegion></affiliation></author><author><name sortKey="Oxenford, Christopher J" sort="Oxenford, Christopher J" uniqKey="Oxenford C" first="Christopher J" last="Oxenford">Christopher J. 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Rawlinson</name><affiliation wicri:level="1"><nlm:affiliation>Serology and Virology Division (SAViD), NSW Health Pathology, SOMS and BABS, University of NSW, Sydney, New South Wales, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Serology and Virology Division (SAViD), NSW Health Pathology, SOMS and BABS, University of NSW, Sydney, New South Wales</wicri:regionArea><wicri:noRegion>New South Wales</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of medical virology</title><idno type="eISSN">1096-9071</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Coronavirus Infections (diagnosis)</term><term>Global Health</term><term>Humans</term><term>Laboratory Proficiency Testing</term><term>Middle East Respiratory Syndrome Coronavirus (isolation & purification)</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification)</term><term>Humains</term><term>Infections à coronavirus (diagnostic)</term><term>Santé mondiale</term><term>Sensibilité et spécificité</term><term>Évaluation de la compétence des laboratoires</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Global Health</term><term>Humans</term><term>Laboratory Proficiency Testing</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Santé mondiale</term><term>Sensibilité et spécificité</term><term>Évaluation de la compétence des laboratoires</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The first reported case of Middle East respiratory syndrome coronavirus (MERS-CoV) infection was identified in Saudi Arabia in September 2012, since which time there have been over 2000 laboratory-confirmed cases, including 750 deaths in 27 countries. Nucleic acid testing (NAT) is the preferred method for the detection of MERS-CoV. A single round of a Proficiency Testing Program (PTP) was used to assess the capability of laboratories globally to accurately detect the presence of MERS-CoV using NAT. A panel of eleven lyophilized specimens containing different viral loads of MERS-CoV, common coronaviruses, and in vitro RNA transcripts was distributed to laboratories in all six World Health Organization regions. A total of 96 laboratories from 79 countries participating in the PTP, with 76 of 96 (79.2%) reporting correct MERS-CoV results for all nine scored specimens. A further 10 laboratories (10.4%) scored correctly in eight of nine specimens of the PTP. The majority of laboratories demonstrated satisfactory performance in detecting the presence of MERS-CoV using NAT. However, some laboratories require improved assay sensitivity, reduced cross contamination of samples, and improved speciation of coronavirus subtypes for potentially complex clinical specimens. Further PTP and enhanced links with expert laboratories globally may improve the laboratory performance.</div></front></TEI><affiliations><list><country><li>Australie</li><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li></region><settlement><li>Lyon</li></settlement></list><tree><country name="Australie"><noRegion><name sortKey="Theis, Torsten" sort="Theis, Torsten" uniqKey="Theis T" first="Torsten" last="Theis">Torsten Theis</name></noRegion><name sortKey="Gray, Joanna L" sort="Gray, Joanna L" uniqKey="Gray J" first="Joanna L" last="Gray">Joanna L. Gray</name><name sortKey="Lau, Katherine A" sort="Lau, Katherine A" uniqKey="Lau K" first="Katherine A" last="Lau">Katherine A. Lau</name><name sortKey="Rawlinson, William D" sort="Rawlinson, William D" uniqKey="Rawlinson W" first="William D" last="Rawlinson">William D. Rawlinson</name><name sortKey="Walker, Gregory J" sort="Walker, Gregory J" uniqKey="Walker G" first="Gregory J" last="Walker">Gregory J. Walker</name></country><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Oxenford, Christopher J" sort="Oxenford, Christopher J" uniqKey="Oxenford C" first="Christopher J" last="Oxenford">Christopher J. Oxenford</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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