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Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends

Authors :
Nicolas Yin
Cyril Debuysschere
Valery Daubie
Marc Hildebrand
Charlotte Martin
Sonja Curac
Fanny Ponthieux
Marie-Christine Payen
Olivier Vandenberg
Marie Hallin
Source :
Diagnostics; Volume 12; Issue 2; Pages: 447
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

The Lumipulse® G SARS-CoV-2 Ag assay performance was evaluated on prospectively collected saliva and nasopharyngeal swabs (NPS) of recently ill in- and outpatients and according to the estimated viral load. Performances were calculated using RT-PCR positive NPS from patients with symptoms ≤ 7 days and RT-PCR negative NPS as gold standard. In addition, non-selected positive NPS were analyzed to assess the performances on various viral loads. This assay yielded a sensitivity of 93.1% on NPS and 71.4% on saliva for recently ill patients. For NPS with a viral load > 103 RNA copies/mL, sensitivity was 96.4%. A model established on our daily routine showed fluctuations of the performances depending on the epidemic trends but an overall good negative predictive value. Lumipulse® G SARS-CoV-2 assay yielded good performance for an automated antigen detection assay on NPS. Using it for the detection of recently ill patient or to screen high-risk patients could be an interesting alternative to the more expensive RT-PCR.

Details

ISSN :
20754418
Volume :
12
Database :
OpenAIRE
Journal :
Diagnostics
Accession number :
edsair.doi.dedup.....55f707a9cf944710c2cd82309b08e0bf
Full Text :
https://doi.org/10.3390/diagnostics12020447