Cargando…

From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020

BACKGROUND: SARS-CoV-2 RT-PCR assays are more sensitive than rapid antigen detection assays (RDT) and can detect viral RNA even after an individual is no longer infectious. RDT can reduce the time to test and the results might better correlate with infectiousness. AIM: We assessed the ability of fiv...

Descripción completa

Detalles Bibliográficos
Autores principales: van Beek, Janko, Igloi, Zsofia, Boelsums, Timo, Fanoy, Ewout, Gotz, Hannelore, Molenkamp, Richard, van Kampen, Jeroen, GeurtsvanKessel, Corine, van der Eijk, Annemiek A, van de Vijver, David, Koopmans, Marion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874867/
https://www.ncbi.nlm.nih.gov/pubmed/35209972
http://dx.doi.org/10.2807/1560-7917.ES.2022.27.8.2100702
_version_ 1784657791063949312
author van Beek, Janko
Igloi, Zsofia
Boelsums, Timo
Fanoy, Ewout
Gotz, Hannelore
Molenkamp, Richard
van Kampen, Jeroen
GeurtsvanKessel, Corine
van der Eijk, Annemiek A
van de Vijver, David
Koopmans, Marion
author_facet van Beek, Janko
Igloi, Zsofia
Boelsums, Timo
Fanoy, Ewout
Gotz, Hannelore
Molenkamp, Richard
van Kampen, Jeroen
GeurtsvanKessel, Corine
van der Eijk, Annemiek A
van de Vijver, David
Koopmans, Marion
author_sort van Beek, Janko
collection PubMed
description BACKGROUND: SARS-CoV-2 RT-PCR assays are more sensitive than rapid antigen detection assays (RDT) and can detect viral RNA even after an individual is no longer infectious. RDT can reduce the time to test and the results might better correlate with infectiousness. AIM: We assessed the ability of five RDT to identify infectious COVID-19 cases and systematically recorded the turnaround time of RT-PCR testing. METHODS: Sensitivity of RDT was determined using a serially diluted SARS-CoV-2 stock with known viral RNA concentration. The probability of detecting infectious virus at a given viral load was calculated using logistic regression of viral RNA concentration and matched culture results of 78 specimens from randomly selected non-hospitalised cases. The probability of each RDT to detect infectious cases was calculated as the sum of the projected probabilities for viral isolation success for every viral RNA load found at the time of diagnosis in 1,739 confirmed non-hospitalised COVID-19 cases. RESULTS: The distribution of quantification cycle values and estimated RNA loads for patients reporting to drive-through testing was skewed to high RNA loads. With the most sensitive RDT (Abbott and SD Biosensor), 97.30% (range: 88.65–99.77) of infectious individuals would be detected. This decreased to 92.73% (range: 60.30–99.77) for Coris BioConcept and GenBody, and 75.53% (range: 17.55–99.77) for RapiGEN. Only 32.9% of RT-PCR results were available on the same day as specimen collection. CONCLUSION: The most sensitive RDT detected infectious COVID-19 cases with high sensitivity and may considerably improve containment through more rapid isolation and contact tracing.
format Online
Article
Text
id pubmed-8874867
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher European Centre for Disease Prevention and Control (ECDC)
record_format MEDLINE/PubMed
spelling pubmed-88748672022-03-17 From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020 van Beek, Janko Igloi, Zsofia Boelsums, Timo Fanoy, Ewout Gotz, Hannelore Molenkamp, Richard van Kampen, Jeroen GeurtsvanKessel, Corine van der Eijk, Annemiek A van de Vijver, David Koopmans, Marion Euro Surveill Research BACKGROUND: SARS-CoV-2 RT-PCR assays are more sensitive than rapid antigen detection assays (RDT) and can detect viral RNA even after an individual is no longer infectious. RDT can reduce the time to test and the results might better correlate with infectiousness. AIM: We assessed the ability of five RDT to identify infectious COVID-19 cases and systematically recorded the turnaround time of RT-PCR testing. METHODS: Sensitivity of RDT was determined using a serially diluted SARS-CoV-2 stock with known viral RNA concentration. The probability of detecting infectious virus at a given viral load was calculated using logistic regression of viral RNA concentration and matched culture results of 78 specimens from randomly selected non-hospitalised cases. The probability of each RDT to detect infectious cases was calculated as the sum of the projected probabilities for viral isolation success for every viral RNA load found at the time of diagnosis in 1,739 confirmed non-hospitalised COVID-19 cases. RESULTS: The distribution of quantification cycle values and estimated RNA loads for patients reporting to drive-through testing was skewed to high RNA loads. With the most sensitive RDT (Abbott and SD Biosensor), 97.30% (range: 88.65–99.77) of infectious individuals would be detected. This decreased to 92.73% (range: 60.30–99.77) for Coris BioConcept and GenBody, and 75.53% (range: 17.55–99.77) for RapiGEN. Only 32.9% of RT-PCR results were available on the same day as specimen collection. CONCLUSION: The most sensitive RDT detected infectious COVID-19 cases with high sensitivity and may considerably improve containment through more rapid isolation and contact tracing. European Centre for Disease Prevention and Control (ECDC) 2022-02-24 /pmc/articles/PMC8874867/ /pubmed/35209972 http://dx.doi.org/10.2807/1560-7917.ES.2022.27.8.2100702 Text en This article is copyright of the authors or their affiliated institutions, 2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Research
van Beek, Janko
Igloi, Zsofia
Boelsums, Timo
Fanoy, Ewout
Gotz, Hannelore
Molenkamp, Richard
van Kampen, Jeroen
GeurtsvanKessel, Corine
van der Eijk, Annemiek A
van de Vijver, David
Koopmans, Marion
From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
title From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
title_full From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
title_fullStr From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
title_full_unstemmed From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
title_short From more testing to smart testing: data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020
title_sort from more testing to smart testing: data-guided sars-cov-2 testing choices, the netherlands, may to september 2020
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874867/
https://www.ncbi.nlm.nih.gov/pubmed/35209972
http://dx.doi.org/10.2807/1560-7917.ES.2022.27.8.2100702
work_keys_str_mv AT vanbeekjanko frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT igloizsofia frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT boelsumstimo frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT fanoyewout frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT gotzhannelore frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT molenkamprichard frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT vankampenjeroen frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT geurtsvankesselcorine frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT vandereijkannemieka frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT vandevijverdavid frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020
AT koopmansmarion frommoretestingtosmarttestingdataguidedsarscov2testingchoicesthenetherlandsmaytoseptember2020