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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Oct 21, 2021
Date Accepted: Feb 2, 2022

The final, peer-reviewed published version of this preprint can be found here:

Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review

Facente SN, Grebe E, Maher AD, Fox DS, Scheer S, Mahy M, Dalal S, Lowrance D, Marsh K

Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review

JMIR Public Health Surveill 2022;8(3):e34410

DOI: 10.2196/34410

PMID: 35275085

PMCID: 8956992

Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: A systematic review

  • Shelley N. Facente; 
  • Eduard Grebe; 
  • Andrew D. Maher; 
  • Douglas S. Fox; 
  • Susan Scheer; 
  • Mary Mahy; 
  • Shona Dalal; 
  • David Lowrance; 
  • Kimberly Marsh

ABSTRACT

Background:

HIV assays designed to detect recent infection, also known as "recency assays," are often used to estimate HIV incidence in a specific country, region, or subpopulation, alone or as part of recent infection testing algorithms (RITAs). Recently, many countries and organizations have become interested in using recency assays within case surveillance systems and routine HIV testing services to measure other indicators beyond incidence, generally referred to as "non-incidence surveillance use cases."

Objective:

The objective of this review was to identify published evidence that can be used to validate methodological approaches to recency-based incidence estimation and non-incidence use cases. The evidence identified through this review will be used in forthcoming technical guidance by WHO and UNAIDS on the use of HIV recency assays for identification of epidemic trends, whether for HIV incidence estimation or non-incidence indicators of recency.

Methods:

To identify the best methodological and field implementation practices for the use of recency assays to estimate HIV incidence and trends in recent infections for specific populations or geographic areas, we conducted a systematic review of the literature to: (a) understand the use of recency testing for surveillance in programmatic and laboratory settings, (b) review methodologies for implementing recency testing for both incidence estimation and non-incidence use cases, and (c) assess the field performance characteristics of commercially available recency assays.

Results:

Among the 167 documents included in the final review, 91 (54%) focused on assay or algorithm performance or methodological descriptions, with high-quality evidence of accurate age- and sex- disaggregated HIV incidence estimation at national or regional levels in general population settings, but not at finer geographic levels for prevention prioritization. The remaining 76 (46%) described field use of incidence assays including field-derived incidence (n=45), non-incidence (n=25) and both incidence and non-incidence use cases (n=6). Field use of incidence assays included integrating RITAs into routine surveillance and assisting with molecular genetic analyses, but evidence was generally weaker or only reported on what was done, without validation data or findings related to effectiveness of using non-incidence indicators calculated through use of recency assays as a proxy for HIV incidence.

Conclusions:

HIV recency assays have been widely validated for estimating HIV incidence in age- and sex-specific populations at national and sub-national regional levels; however, there was a lack of evidence validating the accuracy and effectiveness of using recency assays to identify epidemic trends in non-incidence surveillance use cases. More research is needed to validate use of recency assays within HIV testing services, to ensure findings can be accurately interpreted to guide prioritization of public health programming.


 Citation

Please cite as:

Facente SN, Grebe E, Maher AD, Fox DS, Scheer S, Mahy M, Dalal S, Lowrance D, Marsh K

Use of HIV Recency Assays for HIV Incidence Estimation and Other Surveillance Use Cases: Systematic Review

JMIR Public Health Surveill 2022;8(3):e34410

DOI: 10.2196/34410

PMID: 35275085

PMCID: 8956992

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