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Zheng A, Detorio M, Dobbs T, Shanmugam V, Tan X, Vuong J, Domaoal RA, Lee K, Williams L, Jackson K, Parekh B, Yufenyuy EL. Continuous quality evaluation of the Asanté rapid test for recent infection for robust kit lot quality verification. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003195. [PMID: 38743714 DOI: 10.1371/journal.pgph.0003195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024]
Abstract
The Sedia Biosciences Asanté rapid test for recent infection (RTRI) can identify HIV infections and characterize HIV-1 as recent or long-term infection via the positive verification (V) line and long-term line (LT) line, respectively. Tracking with Recency Assays to Control the Epidemic (TRACE) program uses RTRI assays. Successful implementation of TRACE requires high-quality test performance. The goal of this study is to evaluate the additional quality practices established for new kit lots prior to field use. Asanté lot quality control data from the manufacturer is reviewed by the Centers for Disease Control and Prevention International Laboratory Branch (CDC-ILB) in the Division of Global HIV and TB using. If a lot passes manufacturer quality control and CDC-ILB review, test kits are sent to CDC-ILB for further evaluation. Evaluation by CDC includes inter-rater reliability and linear regressions comparing the V and LT lines against reference data as well as V and LT line data between testers. A Bland-Altman analysis was conducted to assess bias and systematic error. Overall, CDC-ILB passed 29 (91%) out of 32 Sedia Biosciences Asanté kit lots that initially passed manufacturing quality control from July 2017 to May 2020. Regression analyses demonstrate that test kits are performing as expected with consistent R2≥0.92 for both V and LT lines. On average, inter-rater reliability kappa was 0.9, indicating a strong level of agreement. Bland-Altman analyses demonstrate high agreement with little to no systematic error and bias. Ongoing evaluation of new RTRI kit lots is important to ensure high quality test performance. Rejecting 9% of kit lots highlight the importance of continuing to work with manufacturers to ensure consistent kit production and quality assurance (QA) activities. Investing in effective QA measures, conducting both pre- and post-market performance data reviews, could help improve RTRI accuracy and outcomes in similar testing programs.
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Affiliation(s)
- Amy Zheng
- Public Health Institute/Centers for Disease Control Global Health Fellowship Program, Oakland, California, United States of America
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Mervi Detorio
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Trudy Dobbs
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Vedapuri Shanmugam
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Xiaojuan Tan
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Jeni Vuong
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Robert A Domaoal
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Kemba Lee
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - LaTasha Williams
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Keisha Jackson
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Bharat Parekh
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Ernest L Yufenyuy
- Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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2
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Zhou S, Long N, Moeser M, Hill CS, Samoff E, Mobley V, Frost S, Bayer C, Kelly E, Greifinger A, Shone S, Glover W, Clark M, Eron J, Cohen M, Swanstrom R, Dennis AM. Use of Next-Generation Sequencing in a State-Wide Strategy of HIV-1 Surveillance: Impact of the SARS-COV-2 Pandemic on HIV-1 Diagnosis and Transmission. J Infect Dis 2023; 228:1758-1765. [PMID: 37283544 PMCID: PMC10733719 DOI: 10.1093/infdis/jiad211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/24/2023] [Accepted: 06/05/2023] [Indexed: 06/08/2023] Open
Abstract
BACKGROUND The ongoing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic posed an unpreceded threat to the management of other pandemics such as human immunodeficiency virus-1 (HIV-1) in the United States. The full impact of the SARS-CoV-2 pandemic on the HIV-1 pandemic needs to be evaluated. METHODS All individuals with newly reported HIV-1 diagnoses from NC State Laboratory of Public Health were enrolled in this prospective observational study, 2018-2021. We used a sequencing-based recency assay to identify recent HIV-1 infections and to determine the days postinfection (DPI) for each person at the time of diagnosis. RESULTS Sequencing used diagnostic serum samples from 814 individuals with new HIV-1 diagnoses spanning this 4-year period. Characteristics of individuals diagnosed in 2020 differed from those in other years. People of color diagnosed in 2021 were on average 6 months delayed in their diagnosis compared to those diagnosed in 2020. There was a trend that genetic networks were more known for individuals diagnosed in 2021. We observed no major integrase resistance mutations over the course of the study. CONCLUSIONS SARS-CoV-2 pandemic may contribute to the spread of HIV-1. Public health resources need to focus on restoring HIV-1 testing and interrupting active, ongoing, transmission.
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Affiliation(s)
- Shuntai Zhou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nathan Long
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Matt Moeser
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Collin S Hill
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Erika Samoff
- North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA
| | - Victoria Mobley
- North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA
| | - Simon Frost
- Microsoft Health Futures, Microsoft Corporation, Redmond, Washington, USA
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Cara Bayer
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elizabeth Kelly
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Annalea Greifinger
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Scott Shone
- North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA
| | - William Glover
- North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA
| | - Michael Clark
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Joseph Eron
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Myron Cohen
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ronald Swanstrom
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ann M Dennis
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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3
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Lavoie MCC, Blanco N, Mwango LK, Nichols BE, Whittington A, Lindsay B, Adebayo O, Mujansi M, Tembo K, Hachaambwa L, Mumba D, Musonda B, Claassen CW. Addressing the Need for a Preexposure Prophylaxis Monitoring and Evaluation Implementation Guide: Experience From Zambia. GLOBAL HEALTH, SCIENCE AND PRACTICE 2023; 11:GHSP-D-22-00396. [PMID: 37116937 PMCID: PMC10141438 DOI: 10.9745/ghsp-d-22-00396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 02/23/2023] [Indexed: 04/30/2023]
Abstract
BACKGROUND The HIV care continuum comprises well-defined steps and indicators. In contrast, indicators along the preexposure prophylaxis (PrEP) cascade are still in the early stages of implementation. Monitoring and evaluation (M&E) of PrEP services is critical to optimizing PrEP uptake and adherence during periods of HIV risk. We provide an overview of global indicators for PrEP, describe the development process and outcomes of Zambia's 2022 National Pre-Exposure Prophylaxis (PrEP) Program Monitoring & Evaluation Implementation Guide, and discuss the guide's implications for other countries in sub-Saharan Africa. NATIONAL M&E GUIDE DEVELOPMENT PROCESS During the scale-up of PrEP, the Zambia Ministry of Health (MOH) and the National HIV/AIDS/STI/TB Council recognized the need for a national unified monitoring system to guide the effective implementation of PrEP services. Stakeholders from the MOH, civil society, professional organizations, funding agencies, and implementing partners developed the National Pre-Exposure Prophylaxis (PrEP) Program Monitoring & Evaluation Implementation Guide. This guide is aligned with the existing global indicators from the World Health Organization and the U.S. President's Emergency Plan for AIDS Relief and adapted to the country's needs, context, and health information systems. Zambia's experience in developing the guide has highlighted the importance of strengthening client-level monitoring systems for HIV prevention, ensuring flexibility of the PrEP monitoring system to accommodate PrEP delivery modalities and differentiated service delivery models, and training health workers to enhance PrEP services and deliver care PrEP services along the continuum to prevent HIV acquisition effectively. CONCLUSIONS Using a collaborative and consensus-based approach, Zambia developed its first national PrEP M&E implementation guide to provide standardized guidelines for optimizing the delivery, monitoring, and evaluation of PrEP service delivery. Zambia's experience can inform other countries in sub-Saharan Africa as they develop national M&E implementation approaches for PrEP.
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Affiliation(s)
- Marie-Claude C Lavoie
- Division of Global Health Sciences, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Natalie Blanco
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Linah K Mwango
- Center for International Health Education and Biosecurity-Zambia, Lusaka, Zambia
| | - Brooke E Nichols
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, USA
| | - Anna Whittington
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Brianna Lindsay
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Morley Mujansi
- Maryland Global Initiatives Corporation Zambia, Lusaka, Zambia
| | - Kalima Tembo
- Maryland Global Initiatives Corporation Zambia, Lusaka, Zambia
| | - Lottie Hachaambwa
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity-Zambia, Lusaka, Zambia
| | - Daliso Mumba
- National HIV/AIDS/STI/TB Council, Lusaka, Zambia
| | | | - Cassidy W Claassen
- Division of Global Health Sciences, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
- Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
- Center for International Health Education and Biosecurity, University of Maryland School of Medicine, Baltimore, MD, USA
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4
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Parkin N, Gao F, Grebe E, Cutrell A, Das M, Donnell D, Duerr A, Glidden DV, Hughes JP, Murray J, Robertson MN, Zinserling J, Lau J, Miller V. Facilitating Next-Generation Pre-Exposure Prophylaxis Clinical Trials Using HIV Recent Infection Assays: A Consensus Statement from the Forum HIV Prevention Trial Design Project. Clin Pharmacol Ther 2022. [PMID: 36550769 DOI: 10.1002/cpt.2830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
Standard-of-care HIV pre-exposure prophylaxis (PrEP) is highly efficacious, but uptake of and persistence on a daily oral pill is low in many settings. Evaluation of alternate PrEP products will require innovation to avoid the unpractically large sample sizes in noninferiority trials. We propose estimating HIV incidence in people not on PrEP as an external counterfactual to which on-PrEP incidence in trial subjects can be compared. HIV recent infection testing algorithms (RITAs), such as the limiting antigen avidity assay plus viral load used on specimens from untreated HIV positive people identified during screening, is one possible approach. Its feasibility is partly dependent on the sample size needed to ensure adequate power, which is impacted by RITA performance, the number of recent infections identified, the expected efficacy of the intervention, and other factors. Screening sample sizes to support detection of an 80% reduction in incidence for 3 key populations are more modest, and comparable to the number of participants in recent phase III PrEP trials. Sample sizes would be significantly larger in populations with lower incidence, where the false recency rate is higher or if PrEP efficacy is expected to be lower. Our proposed counterfactual approach appears to be feasible, offers high statistical power, and is nearly contemporaneous with the on-PrEP population. It will be important to monitor the performance of this approach during new product development for HIV prevention. If successful, it could be a model for preventive HIV vaccines and prevention of other infectious diseases.
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Affiliation(s)
- Neil Parkin
- Data First Consulting, Sebastopol, California, USA
| | - Fei Gao
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California, USA.,Edward Grebe Consulting, Cape Town, South Africa
| | - Amy Cutrell
- ViiV Healthcare, Research Triangle Park, North Carolina, USA
| | - Moupali Das
- Gilead Sciences, Foster City, California, USA
| | - Deborah Donnell
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Ann Duerr
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | | | | | | | - Joerg Zinserling
- Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM), Bonn, Germany
| | - Joseph Lau
- Forum for Collaborative Research, Washington, DC, USA
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5
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Zhao J, Chen H, Wan Z, Yu T, Liu Q, Shui J, Wang H, Peng J, Tang S. Evaluation of antiretroviral therapy effect and prognosis between HIV-1 recent and long-term infection based on a rapid recent infection testing algorithm. Front Microbiol 2022; 13:1004960. [PMID: 36483196 PMCID: PMC9722761 DOI: 10.3389/fmicb.2022.1004960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 10/14/2022] [Indexed: 08/30/2023] Open
Abstract
Early diagnosis of HIV-1 infection and immediate initiation of combination antiretroviral therapy (cART) are important for achieving better virological suppression and quicker immune reconstitution. However, no serological HIV-1 recency testing assay has been approved for clinical use, and the real-world clinical outcomes remain to be explored for the subjects with HIV-1 recent infection (RI) or long-term infection (LI) when antiretroviral therapy is initiated. In this study, a HIV-1 rapid recent-infection testing strip (RRITS) was developed and incorporated into the recent infection testing algorithms (RITAs) to distinguish HIV-1 RI and LI and to assess their clinical outcomes including virological response, the recovery of CD4+ T-cell count and CD4/CD8 ratio and the probability of survival. We found that the concordance between our RRITS and the commercially available LAg-Avidity EIA was 97.13% and 90.63% when detecting the longitudinal and cross-sectional HIV-1 positive samples, respectively. Among the 200 HIV-1 patients analyzed, 22.5% (45/200) of them were RI patients and 77.5% (155/200) were chronically infected and 30% (60/200) of them were AIDS patients. After cART, 4.1% (5/155) of the LI patients showed virological rebound, but none in the RI group. The proportion of CD4+ T-cell count >500 cells/mm3 was significantly higher in RI patients than in LI after 2 years of cART with a hazard ratio (HR) of 2.6 (95% CI: 1.9, 3.6, p < 0.0001) while the probability of CD4/CD8 = 1 was higher in RI than in LI group with a HR of 3.6 (95% CI: 2.2, 5.7, p < 0.0001). Furthermore, the immunological recovery speed was 16 cells/mm3/month for CD4+ T-cell and 0.043/month for the ratio of CD4/CD8 in the RI group, and was bigger in the RI group than in the LI patients (p < 0.05) during the 1st year of cART. The survival probability for LI patients was significantly lower than that for RI patients (p < 0.001). Our results indicated that RRITS combined with RITAs could successfully distinguish HIV-1 RI and LI patients whose clinical outcomes were significantly different after cART. The rapid HIV-1 recency test provides a feasible assay for diagnosing HIV-1 recent infection and a useful tool for predicting the outcomes of HIV-1 patients.
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Affiliation(s)
- Jianhui Zhao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Hongjie Chen
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Zhengwei Wan
- Department of Health Management and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Tao Yu
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Quanxun Liu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jingwei Shui
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Haiying Wang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jie Peng
- Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Shixing Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
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6
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Arons MM, Curran KG, Msukwa M, Theu J, O'Malley G, Ernst A, Namakhoma I, Bello G, Telford C, Shanmugam V, Parekh B, Kim E, Dobbs T, Payne D, Gugsa S. Acceptability and feasibility of HIV recent infection surveillance by healthcare workers using a rapid test for recent infection at HIV testing sites - Malawi, 2019. BMC Health Serv Res 2022; 22:341. [PMID: 35292029 PMCID: PMC8922771 DOI: 10.1186/s12913-022-07600-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 02/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Malawi Ministry of Health implemented a new surveillance activity in April 2019 to detect recent HIV infections using a rapid test for recent infection (RTRI) to identify areas of ongoing transmission and guide response activities. SETTING At 23 health facilities in Blantyre District, healthcare workers (HCWs) were trained to conduct recent infection testing. In September 2019, we conducted a cross-sectional survey at these sites to explore the acceptability and feasibility of integrating this activity into routine HIV testing services (HTS). METHODS Research assistants interviewed HCWs using a semi-structured survey. Descriptive statistics were used to summarize quantitative responses and thematic analysis was used to group open-ended text. RESULTS We interviewed 119 HCWs. Eighty-two percent of participants reported the RTRI was easy-to-use. HCWs perceived high client acceptability; 100% reported clients as 'somewhat' or 'very accepting'. Challenges included 68% of HCWs estimating they spend ≥20 min beyond routine HTS per client for this activity and 51% performing at least two additional finger pricks to complete the testing algorithm. HCWs differed in their perceptions of whether results should be returned to clients. CONCLUSION This study assessed HCW experiences using point-of-care RTRIs for HIV recent infection surveillance. Overall, HCWs perceived RTRIs to be acceptable, easy-to-use, and valuable. Though only clients with new HIV diagnoses are tested for recent infection, additional time may be substantial at high-volume health service delivery points. Providing response plans or aggregated recent infection results to HCWs and/or clients may support motivation and sustainability of this novel surveillance activity.
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Affiliation(s)
- Melissa M Arons
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Kathryn G Curran
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Malango Msukwa
- Department of Global Health, International Training and Education Center for Health (I-TECH), University of Washington, Lilongwe, Malawi
| | - Joe Theu
- Department of Global Health, International Training and Education Center for Health (I-TECH), University of Washington, Lilongwe, Malawi
| | - Gabrielle O'Malley
- Department of Global Health, International Training and Education Center for Health (I-TECH), University of Washington, Seattle, WA, USA
| | - Alexandra Ernst
- Global Strategic Information, Institute for Global Health Sciences, University of California, San Francisco, CA, USA
| | - Ireen Namakhoma
- Department of Global Health, International Training and Education Center for Health (I-TECH), University of Washington, Lilongwe, Malawi
| | - George Bello
- Department of Global Health, International Training and Education Center for Health (I-TECH), University of Washington, Lilongwe, Malawi.,Department of HIV AIDS, Ministry of Health, Lilongwe, Malawi
| | - Carson Telford
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Vedapuri Shanmugam
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Bharat Parekh
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Evelyn Kim
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Lilongwe, Malawi
| | - Trudy Dobbs
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Danielle Payne
- Division of Global HIV and Tuberculosis, Center for Global Health, Centers for Disease Control and Prevention, Lilongwe, Malawi
| | - Salem Gugsa
- Global Strategic Information, Institute for Global Health Sciences, University of California, San Francisco, CA, USA
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7
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Facente SN, Grebe E, Maher AD, Fox D, 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:e34410. [PMID: 35275085 PMCID: PMC8956992 DOI: 10.2196/34410] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/16/2022] [Accepted: 02/02/2022] [Indexed: 12/11/2022] Open
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 This review aims 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 the forthcoming technical guidance by the World Health Organization (WHO) and United Nations Programme on HIV/AIDS (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 (1) understand the use of recency testing for surveillance in programmatic and laboratory settings, (2) review methodologies for implementing recency testing for both incidence estimation and non-incidence use cases, and (3) assess the field performance characteristics of commercially available recency assays. RESULTS Among the 167 documents included in the final review, 91 (54.5%) 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 (45.5%) described the 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). The 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 the 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 subnational regional levels; however, there is 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 the use of recency assays within HIV testing services, to ensure findings can be accurately interpreted to guide prioritization of public health programming.
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Affiliation(s)
- Shelley N Facente
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, United States.,Facente Consulting, Richmond, CA, United States.,Vitalant Research Institute, San Francisco, CA, United States
| | - Eduard Grebe
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, United States.,Vitalant Research Institute, San Francisco, CA, United States.,South African Centre for Epidemiological Modeling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Andrew D Maher
- South African Centre for Epidemiological Modeling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.,Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States
| | - Douglas Fox
- Facente Consulting, Richmond, CA, United States
| | | | - Mary Mahy
- Strategic Information Department, The Joint United Nations Programme on HIV/AIDS (UNAIDS), Geneva, Switzerland
| | - Shona Dalal
- Global HIV, Hepatitis and Sexually Transmitted Infections Programmes, World Health Organisation, Geneva, Switzerland
| | - David Lowrance
- Global HIV, Hepatitis and Sexually Transmitted Infections Programmes, World Health Organisation, Geneva, Switzerland
| | - Kimberly Marsh
- Strategic Information Department, The Joint United Nations Programme on HIV/AIDS (UNAIDS), Geneva, Switzerland
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8
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Grant-McAuley W, Klock E, Laeyendecker O, Piwowar-Manning E, Wilson E, Clarke W, Breaud A, Moore A, Ayles H, Kosloff B, Shanaube K, Bock P, Mandla N, van Deventer A, Fidler S, Donnell D, Hayes R, Eshleman SH. Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). PLoS One 2021; 16:e0258644. [PMID: 34919554 PMCID: PMC8682874 DOI: 10.1371/journal.pone.0258644] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 10/01/2021] [Indexed: 11/18/2022] Open
Abstract
Background
Assays and multi-assay algorithms (MAAs) have been developed for population-level cross-sectional HIV incidence estimation. These algorithms use a combination of serologic and/or non-serologic biomarkers to assess the duration of infection. We evaluated the performance of four MAAs for individual-level recency assessments.
Methods
Samples were obtained from 220 seroconverters (infected <1 year) and 4,396 non-seroconverters (infected >1 year) enrolled in an HIV prevention trial (HPTN 071 [PopART]); 28.6% of the seroconverters and 73.4% of the non-seroconverters had HIV viral loads ≤400 copies/mL. Samples were tested with two laboratory-based assays (LAg-Avidity, JHU BioRad-Avidity) and a point-of-care assay (rapid LAg). The four MAAs included different combinations of these assays and HIV viral load. Seroconverters on antiretroviral treatment (ART) were identified using a qualitative multi-drug assay.
Results
The MAAs identified between 54 and 100 (25% to 46%) of the seroconverters as recently-infected. The false recent rate of the MAAs for infections >2 years duration ranged from 0.2%-1.3%. The MAAs classified different overlapping groups of individuals as recent vs. non-recent. Only 32 (15%) of the 220 seroconverters were classified as recent by all four MAAs. Viral suppression impacted the performance of the two LAg-based assays. LAg-Avidity assay values were also lower for seroconverters who were virally suppressed on ART compared to those with natural viral suppression.
Conclusions
The four MAAs evaluated varied in sensitivity and specificity for identifying persons infected <1 year as recently infected and classified different groups of seroconverters as recently infected. Sensitivity was low for all four MAAs. These performance issues should be considered if these methods are used for individual-level recency assessments.
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Affiliation(s)
- Wendy Grant-McAuley
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Ethan Klock
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Oliver Laeyendecker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, United States of America
| | - Estelle Piwowar-Manning
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Ethan Wilson
- Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - William Clarke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Autumn Breaud
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Ayana Moore
- FHI360, Durham, North Carolina, United States of America
| | - Helen Ayles
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Barry Kosloff
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
- Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Kwame Shanaube
- Zambart, University of Zambia School of Medicine, Lusaka, Zambia
| | - Peter Bock
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa
| | - Nomtha Mandla
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa
| | - Anneen van Deventer
- Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Western Cape, South Africa
| | - Sarah Fidler
- Department of Infectious Disease, Imperial College London, London, United Kingdom
| | - Deborah Donnell
- Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Richard Hayes
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Susan H. Eshleman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- * E-mail:
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Klock E, Wilson E, Fernandez RE, Piwowar-Manning E, Moore A, Kosloff B, Bwalya J, Bell-Mandla N, James A, Ayles H, Bock P, Donnell D, Fidler S, Hayes R, Eshleman SH, Laeyendecker O. Validation of population-level HIV-1 incidence estimation by cross-sectional incidence assays in the HPTN 071 (PopART) trial. J Int AIDS Soc 2021; 24:e25830. [PMID: 34897992 PMCID: PMC8666582 DOI: 10.1002/jia2.25830] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/10/2021] [Indexed: 11/10/2022] Open
Abstract
Introduction Cross‐sectional incidence testing is used to estimate population‐level HIV incidence and measure the impact of prevention interventions. There are limited data evaluating the accuracy of estimates in settings where antiretroviral therapy coverage and levels of viral suppression are high. Understanding cross‐sectional incidence estimates in these settings is important as viral suppression can lead to false recent test results. We compared the accuracy of multi‐assay algorithms (MAA) for incidence estimation to that observed in the community‐randomized HPTN 071 (PopART) trial, where the majority of participants with HIV infection were virally suppressed. Methods HIV incidence was assessed during the second year of the study, and included only individuals who were tested for HIV at visits 1 and 2 years after the start of the study (2016–2017). Incidence estimates from three MAAs were compared to the observed incidence between years 1 and 2 (MAA‐C: LAg‐Avidity <2.8 ODn + BioRad Avidity Index <95% + VL >400 copies/ml; LAg+VL MAA: LAg‐Avidity <1.5 ODn + VL >1000 copies/ml; Rapid+VL MAA: Asanté recent rapid result + VL >1000 copies/ml). The mean duration of recent infection (MDRI) used for the three MAAs was 248, 130 and 180 days, respectively. Results and discussion The study consisted of: 15,845 HIV‐negative individuals; 4406 HIV positive at both visits; and 221 who seroconverted between visits. Viral load (VL) data were available for all HIV‐positive participants at the 2‐year visit. Sixty four (29%) of the seroconverters and 3227 (72%) prevelant positive participants were virally supressed (<400 copies/ml). Observed HIV incidence was 1.34% (95% CI: 1.17–1.53). Estimates of incidence were similar to observed incidence for MAA‐C, 1.26% (95% CI: 1.02–1.51) and the LAg+VL MAA, 1.29 (95% CI: 0.97–1.62). Incidence estimated by the Rapid+VL MAA was significantly lower than observed incidence (0.92%, 95% CI: 0.69–1.15, p<0.01). Conclusions MAA‐C and the LAg+VL MAA provided accurate point estimates of incidence in this cohort with high levels of viral suppression. The Rapid+VL significantly underestimated incidence, suggesting that the MDRI recommended by the manufacturer is too long or the assay is not accurately detecting enough recent infections.
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Affiliation(s)
- Ethan Klock
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Ethan Wilson
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Reinaldo E Fernandez
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Estelle Piwowar-Manning
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Barry Kosloff
- Zambart, Lusaka, Zambia.,Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Nomtha Bell-Mandla
- Desmond Tutu Tuberculosis Center, Department of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anelet James
- Desmond Tutu Tuberculosis Center, Department of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Helen Ayles
- Zambart, Lusaka, Zambia.,Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Peter Bock
- Desmond Tutu Tuberculosis Center, Department of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Deborah Donnell
- Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | | | - Richard Hayes
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
| | - Susan H Eshleman
- Department of Pathology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.,National Institute of Allergy and Infectious Diseases, National Institutes of Medicine, Bethesda, Maryland, USA
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- Division of Infectious Diseases, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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