Evaluation of the ELITechGroup solution for plasma HIV-1 RNA quantification

Elsevier

Available online 3 March 2024, 105663

Journal of Clinical VirologyAuthor links open overlay panel, , , , , HIGHLIGHTS•

The genetic diversity of HIV-1 has been a major concern for plasma RNA quantification.

It is essential to evaluate the performances of new kits on a wide panel of HIV-1 group M circulating variants.

The new kit, HIV1 ELITe MGB Kit with InGenius, can be used for the monitoring of patients infected with various endemic HIV-1 strains.

Abstract

In the last few years, many manufacturers have developed new kits for plasma HIV-1 RNA quantification. Recently, a solution consisting of the ELITe InGenius® instrument and the HIV1 ELITe MGB®kit has been commercialized worldwide. Our aim was to compare its clinical performance with the Aptima® HIV-1 Quant Dx kit by Hologic, on a panel of HIV-1 group M circulating variants, representative of viral load levels found during the pre- and post-treatment follow-up of patients. The linearity was evaluated on the AcroMetrix® HIV-1 Panel. Clinical specificity was evaluated on 100 plasma samples negative for HIV; and clinical sensitivity and sequential follow-up were evaluated on 166 HIV-1 positive plasma samples from 126 patients. The linearity data showed a difference obtained for each point of less than 0.2 Log cp/mL. No amplification was found for the 100 HIV negative clinical specimens. The overall agreement between the two kits was 83.7%; the differences corresponded to a slightly higher detection for the Aptima kit (with more samples detected below the lower limit of quantification). A Bland & Altman analysis of the quantifiable samples showed a mean difference of -0.05 Log and Spearman's coefficient was 0.975. Only six samples presented discrepancies (above 0.5 Log), but these differences were overall similar between the two kits. Our study has shown that the HIV1 ELITe MGB® Kit can be successfully used for the monitoring of patients infected with various epidemic HIV-1 strains, and for the precise quantification of the viral load.

Keywords

HIV-1

viral load

genetic diversity

© 2024 The Authors. Published by Elsevier B.V.

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