Salma Younes1, Hadeel Al-Jighefee1,2, Farah Shurrab1, Duaa W Al-Sadeq1,3, Nadin Younes1, Soha R Dargham4,5, Nader Al-Dewik6,7,8,9, Hamda Qotba10,11, Mohamed Syed10, Ahmed Alnuaimi10, Hadi M Yassine1,2, Patrick Tang11, Laith J Abu-Raddad4,5,12, Gheyath K Nasrallah1,2. 1. Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar. 2. Department of Biomedical Science, College of Health Sciences, Member of QU Health, Qatar University, Doha P.O. Box 2713, Qatar. 3. College of Medicine, Member of QU Health, Qatar University, Doha P.O. Box 2713, Qatar. 4. Infectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha P.O. Box 24144, Qatar. 5. World Health Organization Collaborating Centre for Disease Epidemiology Analytics on HIV/AIDS, Sexually Transmitted Infections, and Viral Hepatitis, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha P.O. Box 24144, Qatar. 6. Clinical and Metabolic Genetics Section, Pediatrics Department, Hamad General Hospital (HGH), Hamad Medical Corporation, Doha P.O. Box 3050, Qatar. 7. Qatar Medical Genetic Center and Interim Translational Research Institute, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar. 8. College of Health and Life Science, Hamad Bin Khalifa University, Doha P.O. Box 34110, Qatar. 9. Department of Pediatrics, Women's Wellness and Research Center, Hamad Medical Corporation, Doha P.O. Box 3050, Qatar. 10. Department of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar. 11. Department of Pathology, Sidra Medicine, Doha P.O. Box 26999, Qatar. 12. Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA.
Abstract
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.
To support the deployment of serology assays for population screening during the COVID-19 paene">ndemic, we compared the performaene">nce of three fully automated n class="Species">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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