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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.
  • van Beek J; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • Igloi Z; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • Boelsums T; Department Infectious Disease Control, Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands.
  • Fanoy E; Department Infectious Disease Control, Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands.
  • Gotz H; Department Infectious Disease Control, Public Health Service Rotterdam-Rijnmond, Rotterdam, The Netherlands.
  • Molenkamp R; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • van Kampen J; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • GeurtsvanKessel C; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • van der Eijk AA; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • van de Vijver D; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
  • Koopmans M; Department of Viroscience, ErasmusMC, Rotterdam, the Netherlands.
Euro Surveill ; 27(8)2022 02.
Article in English | MEDLINE | ID: covidwho-1714940
ABSTRACT
BackgroundSARS-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.AimWe assessed the ability of five RDT to identify infectious COVID-19 cases and systematically recorded the turnaround time of RT-PCR testing.MethodsSensitivity 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.ResultsThe 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.ConclusionThe most sensitive RDT detected infectious COVID-19 cases with high sensitivity and may considerably improve containment through more rapid isolation and contact tracing.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Randomized controlled trials Topics: Long Covid Limits: Humans Country/Region as subject: Europa Language: English Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: 1560-7917.Es.2022.27.8.2100702

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Randomized controlled trials Topics: Long Covid Limits: Humans Country/Region as subject: Europa Language: English Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: 1560-7917.Es.2022.27.8.2100702