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Comparative Study
. 2016 Sep 24;30(15):2361-71.
doi: 10.1097/QAD.0000000000001209.

Viral Load Criteria and Threshold Optimization to Improve HIV Incidence Assay Characteristics

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Free PMC article
Comparative Study

Viral Load Criteria and Threshold Optimization to Improve HIV Incidence Assay Characteristics

Reshma Kassanjee et al. AIDS. .
Free PMC article

Abstract

Objective: Assays for classifying HIV infections as 'recent' or 'nonrecent' for incidence surveillance fail to simultaneously achieve large mean durations of 'recent' infection (MDRIs) and low 'false-recent' rates (FRRs), particularly in virally suppressed persons. The potential for optimizing recent infection testing algorithms (RITAs), by introducing viral load criteria and tuning thresholds used to dichotomize quantitative measures, is explored.

Design: The Consortium for the Evaluation and Performance of HIV Incidence Assays characterized over 2000 possible RITAs constructed from seven assays (Limiting Antigen, BED, Less-sensitive Vitros, Vitros Avidity, BioRad Avidity, Architect Avidity, and Geenius) applied to 2500 diverse specimens.

Methods: MDRIs were estimated using regression, and FRRs as observed 'recent' proportions, in various specimen sets. Context-specific FRRs were estimated for hypothetical scenarios. FRRs were made directly comparable by constructing RITAs with the same MDRI through the tuning of thresholds. RITA utility was summarized by the precision of incidence estimation.

Results: All assays produce high FRRs among treated patients and elite controllers (10-80%). Viral load testing reduces FRRs, but diminishes MDRIs. Context-specific FRRs vary substantially by scenario - BioRad Avidity and Limiting Antigen provided the lowest FRRs and highest incidence precision in scenarios considered.

Conclusion: The introduction of a low viral load threshold provides crucial improvements in RITAs. However, it does not eliminate nonzero FRRs, and MDRIs must be consistently estimated. The tuning of thresholds is essential for comparing and optimizing the use of assays. The translation of directly measured FRRs into context-specific FRRs critically affects their magnitudes and our understanding of the utility of assays.

Figures

Figure 1
Figure 1. Architect Avidity and Geenius Incidence Assay Results over Time since Infection
Box-and-whisker plots of assay measurements for each 6-month interval after infection until 4 years, and then for specimens drawn more than 2 years after infection. Left plots exclude treated subjects and SCOPE elite controllers. For each interval, the box and dividing line capture the central 50% and median of the measurements respectively; whiskers and crosses extend out to the remaining data points and outliers respectively (40-1000 data points per time interval). Based on developers' guidelines, measurements below the horizontal lines indicate ‘recent’ infections.
Figure 2
Figure 2. Context-specific FRR, by MDRI value, per assay, for Scenarios A-F
Each scenario has the specified: treatment coverage c, VL threshold used in the RITA (copies/ml), and mean years since infection in the untreated population m. For each incidence assay, the IA threshold is varied to obtain the chosen MDRI (x-axis), and corresponding FRR calculated (y-axis). The circles correspond to developers' proposed IA thresholds.

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