Field validation and application of the luminex triplex HIV assay to estimate HIV prevalence and HIV-1 incidence in Nigeria
HIV cross-sectional surveys require multi-layered testing with several tests to estimate HIV prevalence and HIV-1 incidence. We evaluated the performance and accuracy of the newly developed HIV Triplex assay to diagnose HIV-1 and HIV-2 and detect HIV-1 recent infections using plasma samples from the 2018 Nigeria AIDS Indicator and Impact Survey (NAIIS). Plasma samples from consenting HIV-positive (n=2,773) and a subset of HIV-negative samples (n=7,196), as determined by the national rapid testing algorithm, followed by Bio-Rad Geenius HIV-1/2 Supplemental Assay and Western Blot, aged 18 months - 64 years, were tested using the Luminex-based HIV Triplex assay. The assay classified specimens as HIV-1 positive, HIV-2 positive, dual (HIV-1 & 2) infections, or HIV-seronegative. All HIV-1 and dual infections were further classified as either HIV-1 recent (<6 months) or long-term (LT) based on mean fluorescent intensities and compared with the LAg-Avidity EIA as the reference. Multiplex results were analyzed and compared with the final NAIIS survey data for unweighted HIV prevalence and HIV-1 incidence. The diagnostic sensitivity and specificity of the HIV Triplex assay was 99.71% and 99.37%, respectively, with a kappa of 0.987 when compared to NAIIS survey results. Percent agreement between the HIV Triplex assay and the LAg-Avidity EIA for recent and LT classification was 98.86% with a kappa of 0.80 [CI: 0.71-0.89] and a Spearman-ranked correlation (ρ) of 0.689. A small number (n=45; 0.63%) of the subset of negatives tested were classified by the multiplex assay as either HIV-1 positive (n=35) or HIV-2 positive (n=10). Nevertheless, the HIV Triplex assay agreed with NAIIS HIV-negative survey results (99.37%). Using these results as they were, unweighted estimates of HIV prevalence for both HIV Triplex assay and NAIIS test results were similar (1.62% [95% CI: 1.56-1.68] and 1.60% [95% CI: 1.54-1.66], respectively) with overlapping confidence. After adjusting for viral load and anti-retroviral therapy, HIV-1 unweighted incidence for ages ≥15 years, using HIV Triplex assay data, was 0.70 per 1,000 [95% CI: 0.40-0.90]. This is similar to the unweighted incidence using the LAg-based RITA (recent infection testing algorithm) of 0.80 per 1,000 [95% CI: 0.60-1.10]. The HIV Triplex assay combines several assays in one, providing highly accurate results for estimating HIV prevalence and HIV-1 incidence in surveys. This assay has the potential to simplify cross-sectional surveys making them less expensive, easier, and quicker.
Authors
- William Nwachukwu (ORCID: https://orcid.org/0000-0001-7111-1320)
- Amy Zheng (ORCID: https://orcid.org/0009-0004-4051-2796)
- Kelsie Decker-Pulice
- Nwando Mba (ORCID: https://orcid.org/0000-0003-2998-2354)
- Mahesh Swaminathan (ORCID: https://orcid.org/0000-0001-5827-3245)
- Evbuomwan Erasogie
- Chinwe Ndidi Ugwu
- Chikwe Ihekweazu (ORCID: https://orcid.org/0000-0003-0659-0833)
- Stacie M. Greby
- Oluwaseun Akinmulero
- Andrew Thomas (ORCID: https://orcid.org/0000-0002-0225-3664)
- Bharat Parekh (ORCID: https://orcid.org/0000-0002-1088-4263)
- Mervi Detorio (ORCID: https://orcid.org/0009-0000-8114-2112)
- Vedapuri Shanmugam (ORCID: https://orcid.org/0000-0003-3612-1085)
- Olusola Anuoluwapo Akanbi (ORCID: https://orcid.org/0000-0002-1107-035X)
- Hetal Patel (ORCID: https://orcid.org/0000-0002-5468-2591)
- Jeni Vuong (ORCID: https://orcid.org/0000-0002-2038-6356)
- Israel Tamunonengiyeofori
- Megan Bronson (ORCID: https://orcid.org/0000-0002-8538-8141)
- Mudiaga Esiekpe
- Ernest L. Yufenyuy
- Orji Bassey (ORCID: https://orcid.org/0000-0002-5770-1989)
- McPaul Okoye (ORCID: https://orcid.org/0000-0001-8745-8441)
- Nnaemeka C. Iriemenam (ORCID: https://orcid.org/0000-0003-2187-8894)
- Ado Abubakar
- Ndidi Agala (ORCID: https://orcid.org/0000-0002-2814-8651)
- Iliyasu Abubakar Bichi
Institutions
- Centers for Disease Control and Prevention (US)
- Centers for Disease Control and Prevention (UG)
- Institute of Human Virology (NG)
- The Centers (US)
- Georgia Department of Public Health (US)
- Nigeria Centre for Disease Control (NG)
Publication Details
- Journal
- PLOS Global Public Health
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1371/journal.pgph.0003455
- Primary Topic
- HIV Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. President’s Emergency Plan for AIDS Relief