Ming Chang1, Katrin Steinmetzer2, Dana N Raugi3, Robert A Smith3, Selly Ba4, Fatima Sall4, Moussa Seydi4, Alassane Niang5, ElHadji Ibrahima Sall5, Ousseynou Cisse5, Katja Rödel2, Robert W Coombs6, Geoffrey S Gottlieb7. 1. Department of Laboratory Medicine, University of Washington, Seattle, WA, USA. 2. Alere Technologies GmbH, Germany. 3. Department of Medicine/Allergy & Infectious Diseases, University of Washington, Seattle, WA, USA. 4. Service des Maladies Infectieuses, CHNU de Fann, Dakar, Senegal. 5. Centre de Sante, Ziguinchor, Casamance, Senegal. 6. Department of Laboratory Medicine, University of Washington, Seattle, WA, USA; Department of Medicine/Allergy & Infectious Diseases, University of Washington, Seattle, WA, USA. 7. Department of Medicine/Allergy & Infectious Diseases, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA, USA. Electronic address: gottlieb@uw.edu.
Abstract
BACKGROUND: The Alere q HIV-1/2 Detect test (Alere Detect) is a rapid point-of-care (POC) nucleic acid test (NAT) that can detect and differentiate HIV-1 and HIV-2 in 25-μL whole blood or plasma samples. The Alere Detect test has been validated for early infant diagnosis of HIV-1 infection, and it is the only POC NAT device currently known to detect HIV-2, which is endemic in West Africa. OBJECTIVES: To evaluate the sensitivity detecting HIV-2 RNA and the differential performance of the Alere Detect. STUDY DESIGN: Plasma samples from non-HIV (n=4), HIV-1 (n=22), HIV-2 (n=111; 29 Group A, 2 Group B) and HIV-1/HIV-2 dually-seropositive (n=8) participants in Senegal and the United States and HIV-2 reference strains (3 Group A, 1 Group B) were tested by Alere Detect, Abbott RealTime HIV-1 and the University of Washington HIV-2 RNA quantitative (UW HIV-2) assays. RESULTS: The Alere Detect correctly differentiated between HIV-1 and HIV-2 in all 80 (100%) patient samples with detectable HIV RNA (n=20 HIV-1, 60 HIV-2). The overall HIV-2 detection concordance between Alere Detect and the UW HIV-2 assay was 68% (54/80); the concordance improved to 100% (30/30) for samples with HIV-2 RNA >300copies/mL. Neither assay detected HIV-2 RNA in 31 of 111 HIV-2 seropositive samples. CONCLUSIONS: The Alere Detect test is a novel device detecting HIV RNA in clinical samples, and differentiating HIV-1 and HIV-2 with a high level of specificity. It has the potential for use as a rapid HIV-2 NAT-based diagnosis tool in resource-limited settings and to confirm HIV-2 infection for the CDC 4th generation HIV-1/2 diagnostic algorithm.
BACKGROUND: The Alere q HIV-1/2 Detect test (Alere Detect) is a rapid point-of-care (POC) nucleic acid test (NAT) that can detect and differentiate HIV-1 and HIV-2 in 25-μL whole blood or plasma samples. The Alere Detect test has been validated for early infant diagnosis of HIV-1 infection, and it is the only POC NAT device currently known to detect HIV-2, which is endemic in West Africa. OBJECTIVES: To evaluate the sensitivity detecting HIV-2 RNA and the differential performance of the Alere Detect. STUDY DESIGN: Plasma samples from non-HIV (n=4), HIV-1 (n=22), HIV-2 (n=111; 29 Group A, 2 Group B) and HIV-1/HIV-2 dually-seropositive (n=8) participants in Senegal and the United States and HIV-2 reference strains (3 Group A, 1 Group B) were tested by Alere Detect, Abbott RealTime HIV-1 and the University of Washington HIV-2 RNA quantitative (UW HIV-2) assays. RESULTS: The Alere Detect correctly differentiated between HIV-1 and HIV-2 in all 80 (100%) patient samples with detectable HIV RNA (n=20 HIV-1, 60 HIV-2). The overall HIV-2 detection concordance between Alere Detect and the UW HIV-2 assay was 68% (54/80); the concordance improved to 100% (30/30) for samples with HIV-2 RNA >300copies/mL. Neither assay detected HIV-2 RNA in 31 of 111 HIV-2 seropositive samples. CONCLUSIONS: The Alere Detect test is a novel device detecting HIV RNA in clinical samples, and differentiating HIV-1 and HIV-2 with a high level of specificity. It has the potential for use as a rapid HIV-2 NAT-based diagnosis tool in resource-limited settings and to confirm HIV-2 infection for the CDC 4th generation HIV-1/2 diagnostic algorithm.
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