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Diagnostic Efficiency of Three Fully Automated Serology Assays and Their Correlation with a Novel Surrogate Virus Neutralization Test in Symptomatic and Asymptomatic SARS-COV-2 Individuals
To support the deployment of serology assays for population screening during the COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i(®) (target: spike [S] and nucleocapsid [N]), BioMérieux VIDAS(®)3 (target: receptor-binding domain [RBD]) an...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912688/ https://www.ncbi.nlm.nih.gov/pubmed/33504067 http://dx.doi.org/10.3390/microorganisms9020245 |
Sumario: | To support the deployment of serology assays for population screening during the COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i(®) (target: spike [S] and nucleocapsid [N]), BioMérieux VIDAS(®)3 (target: receptor-binding domain [RBD]) and Diasorin LIAISON(®)XL (target: S1 and S2 subunits). A total of 111 SARS-CoV-2 RT-PCR- positive samples collected at ≥ 21 days post symptom onset, and 127 pre-pandemic control samples were included. Diagnostic performance was assessed in correlation to RT-PCR and a surrogate virus-neutralizing test (sVNT). Moreover, cross-reactivity with other viral antibodies was investigated. Compared to RT-PCR, LIAISON(®)XL showed the highest overall specificity (100%), followed by VIDAS(®)3 (98.4%) and CL-900i(®) (95.3%). The highest sensitivity was demonstrated by CL-900i(®) (90.1%), followed by VIDAS(®)3 (88.3%) and LIAISON(®)XL (85.6%). The sensitivity of all assays was higher in symptomatic patients (91.1–98.2%) compared to asymptomatic patients (78.4–80.4%). In correlation to sVNT, all assays showed excellent sensitivities (92.2–96.1%). In addition, VIDAS(®)3 demonstrated the best correlation (r = 0.75) with the sVNT. The present study provides insights on the performance of three fully automated assays, which could help diagnostic laboratories in the choice of a particular assay according to the intended use. |
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