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Evaluation of the Aptima™ transcription-mediated amplification assay (Hologic®) for detecting SARS-CoV-2 in clinical specimens

BACKGROUND: The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which appeared in late 2019, has been limited by isolating infected individuals. However, identifying such individuals requires accurate diagnostic tools. OBJECTIVE: This study evaluates the capacity of the Aptim...

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Detalles Bibliográficos
Autores principales: Trémeaux, Pauline, Lhomme, Sébastien, Abravanel, Florence, Raymond, Stéphanie, Mengelle, Catherine, Mansuy, Jean-Michel, Izopet, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336924/
https://www.ncbi.nlm.nih.gov/pubmed/32659713
http://dx.doi.org/10.1016/j.jcv.2020.104541
Descripción
Sumario:BACKGROUND: The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which appeared in late 2019, has been limited by isolating infected individuals. However, identifying such individuals requires accurate diagnostic tools. OBJECTIVE: This study evaluates the capacity of the Aptima™ Transcription-Mediated Amplification (TMA) assay (Hologic® Panther System) to detect the virus in clinical samples. STUDY DESIGN: We compared the Aptima™ assay to two in-house real-time RT-PCR techniques, one running on the Panther Fusion™ module and the other on the MagNA Pure 96 and Light-Cycler 480 instruments. We included a total of 200 respiratory specimens: 100 tested prospectively and 100 retrospectively (25 -ve/75 +ve). RESULTS: The final Cohen’s kappa coefficients were: κ = 0.978 between the Aptima™ and Panther Fusion™ assays, κ = 0.945 between the Aptima™ and MagNA/LC480 assays and κ = 0.956 between the MagNA/LC480 and Panther Fusion™ assays. CONCLUSION: These findings indicate that the Aptima™ SARS-CoV-2 TMA assay data agree well with those obtained with our routine methods and that this assay can be used to diagnose coronavirus disease 2019 (COVID-19).