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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.
Yin, Nicolas; Debuysschere, Cyril; Daubie, Valery; Hildebrand, Marc; Martin, Charlotte; Curac, Sonja; Ponthieux, Fanny; Payen, Marie-Christine; Vandenberg, Olivier; Hallin, Marie.
Afiliación
  • Yin N; Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
  • Debuysschere C; Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
  • Daubie V; Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
  • Hildebrand M; Department of Internal Medicine, Erasme University Hospital, Université Libre de Bruxelles (ULB), 1070 Brussels, Belgium.
  • Martin C; Department of Infectious Diseases, Saint-Pierre University Hospital, Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
  • Curac S; Emergency Department, Erasme University Hospital, Université Libre de Bruxelles (ULB), 1070 Brussels, Belgium.
  • Ponthieux F; Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
  • Payen MC; Department of Infectious Diseases, Saint-Pierre University Hospital, Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
  • Vandenberg O; Centre for Environmental Health and Occupational Health, School of Public Health, Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium.
  • Hallin M; Clinical Research and Innovation Unit, Laboratoire Hospitalier Universitaire de Bruxelles-Universitair Laboratorium Brussel (LHUB-ULB), Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium.
Diagnostics (Basel) ; 12(2)2022 Feb 09.
Article en En | MEDLINE | ID: mdl-35204538
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 patients or to screen high-risk patients could be an interesting alternative to the more expensive RT-PCR.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Bélgica