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Artenie A, Stone J, Fraser H, Stewart D, Arum C, Lim AG, McNaughton AL, Trickey A, Ward Z, Abramovitz D, Alary M, Astemborski J, Bruneau J, Clipman SJ, Coffin CS, Croxford S, DeBeck K, Emanuel E, Hayashi K, Hermez JG, Low-Beer D, Luhmann N, Macphail G, Maher L, Palmateer NE, Patel EU, Sacks-Davis R, Van Den Boom W, van Santen DK, Walker JG, Hickman M, Vickerman P. Incidence of HIV and hepatitis C virus among people who inject drugs, and associations with age and sex or gender: a global systematic review and meta-analysis. Lancet Gastroenterol Hepatol 2023; 8:533-552. [PMID: 36996853 PMCID: PMC10817215 DOI: 10.1016/s2468-1253(23)00018-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Measuring the incidence of HIV and hepatitis C virus (HCV) infection among people who inject drugs (PWID) is key to track progress towards elimination. We aimed to summarise global data on HIV and primary HCV incidence among PWID and associations with age and sex or gender. METHODS In this systematic review and meta-analysis, we updated an existing database of HIV and HCV incidence studies among PWID by searching MEDLINE, Embase, and PsycINFO, capturing studies published between Jan 1, 2000, and Dec 12, 2022, with no language or study design restrictions. We contacted authors of identified studies for unpublished or updated data. We included studies that estimated incidence by longitudinally re-testing people at risk of infection or by using assays for recent infection. We pooled incidence and relative risk (RR; young [generally defined as ≤25 years] vs older PWID; women vs men) estimates using random-effects meta-analysis and assessed risk of bias with a modified Newcastle-Ottawa scale. This study is registered with PROSPERO, CRD42020220884. FINDINGS Our updated search identified 9493 publications, of which 211 were eligible for full-text review. An additional 377 full-text records from our existing database and five records identified through cross-referencing were assessed. Including 28 unpublished records, 125 records met the inclusion criteria. We identified 64 estimates of HIV incidence (30 from high-income countries [HICs] and 34 from low-income or middle-income countries [LMICs]) and 66 estimates of HCV incidence (52 from HICs and 14 from LMICs). 41 (64%) of 64 HIV and 42 (64%) of 66 HCV estimates were from single cities rather than being multi-city or nationwide. Estimates were measured over 1987-2021 for HIV and 1992-2021 for HCV. Pooled HIV incidence was 1·7 per 100 person-years (95% CI 1·3-2·3; I2=98·4%) and pooled HCV incidence was 12·1 per 100 person-years (10·0-14·6; I2=97·2%). Young PWID had a greater risk of HIV (RR 1·5, 95% CI 1·2-1·8; I2=66·9%) and HCV (1·5, 1·3-1·8; I2=70·6%) acquisition than older PWID. Women had a greater risk of HIV (RR 1·4, 95% CI 1·1-1·6; I2=55·3%) and HCV (1·2, 1·1-1·3; I2=43·3%) acquisition than men. For both HIV and HCV, the median risk-of-bias score was 6 (IQR 6-7), indicating moderate risk. INTERPRETATION Although sparse, available HIV and HCV incidence estimates offer insights into global levels of HIV and HCV transmission among PWID. Intensified efforts are needed to keep track of the HIV and HCV epidemics among PWID and to expand access to age-appropriate and gender-appropriate prevention services that serve young PWID and women who inject drugs. FUNDING Canadian Institutes of Health Research, Fonds de recherche du Québec-Santé, Canadian Network on Hepatitis C, UK National Institute for Health and Care Research, and WHO.
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Affiliation(s)
- Adelina Artenie
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK.
| | - Jack Stone
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Hannah Fraser
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Daniel Stewart
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Public Health Speciality Training Programme, South West, Bristol, UK
| | - Chiedozie Arum
- Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Aaron G Lim
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Anna L McNaughton
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Adam Trickey
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Zoe Ward
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | | | - Michel Alary
- Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada; Département de médecine sociale et préventive, Université Laval, Québec City, QC, Canada; Institut national de santé publique du Québec, Québec City, QC, Canada
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Julie Bruneau
- Département de Médecine Familiale et Médecine d'Urgence, Université de Montréal, Montréal, QC, Canada; Centre Hospitalier de l'Université de Montréal Research Center, Montréal, QC, Canada
| | - Steven J Clipman
- Department of Medicine, Johns Hopkins University School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Carla S Coffin
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Sara Croxford
- Public Health and Clinical Directorate, UK Health Security Agency, London, UK
| | - Kora DeBeck
- School of Public Policy, Simon Fraser University, Vancouver, BC, Canada; BC Centre on Substance Use, Vancouver, BC, Canada
| | - Eva Emanuel
- Blood Safety, Hepatitis, STI and HIV Division, UK Health Security Agency, London, UK
| | - Kanna Hayashi
- BC Centre on Substance Use, Vancouver, BC, Canada; Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
| | - Joumana G Hermez
- Department of Communicable Diseases, World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt
| | - Daniel Low-Beer
- Global HIV, Hepatitis and Sexually Transmitted Infections Programmes, World Health Organization, Geneva, Switzerland
| | - Niklas Luhmann
- Global HIV, Hepatitis and Sexually Transmitted Infections Programmes, World Health Organization, Geneva, Switzerland
| | - Gisela Macphail
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Infectious Diseases, CUPS Liver Clinic, Calgary, AB, Canada
| | - Lisa Maher
- Kirby Institute for Infection and Immunity, UNSW Sydney, Sydney, NSW, Australia
| | - Norah E Palmateer
- School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK; Public Health Scotland, Glasgow, UK
| | - Eshan U Patel
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Rachel Sacks-Davis
- Disease Elimination Program, Burnet Institute, Melbourne, VIC, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia; School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
| | | | - Daniela K van Santen
- Disease Elimination Program, Burnet Institute, Melbourne, VIC, Australia; School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Department of Infectious Diseases, Public Health Service of Amsterdam, Amsterdam, Netherlands
| | - Josephine G Walker
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Hickman
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Peter Vickerman
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; National Institute for Health Research Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
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2
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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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3
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Arum C, Fraser H, Artenie AA, Bivegete S, Trickey A, Alary M, Astemborski J, Iversen J, Lim AG, MacGregor L, Morris M, Ong JJ, Platt L, Sack-Davis R, van Santen DK, Solomon SS, Sypsa V, Valencia J, Van Den Boom W, Walker JG, Ward Z, Stone J, Vickerman P. Homelessness, unstable housing, and risk of HIV and hepatitis C virus acquisition among people who inject drugs: a systematic review and meta-analysis. Lancet Public Health 2021; 6:e309-e323. [PMID: 33780656 PMCID: PMC8097637 DOI: 10.1016/s2468-2667(21)00013-x] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 01/12/2021] [Accepted: 01/14/2021] [Indexed: 01/19/2023]
Abstract
BACKGROUND People who inject drugs (PWID) are at increased risk for HIV and hepatitis C virus (HCV) infection and also have high levels of homelessness and unstable housing. We assessed whether homelessness or unstable housing is associated with an increased risk of HIV or HCV acquisition among PWID compared with PWID who are not homeless or are stably housed. METHODS In this systematic review and meta-analysis, we updated an existing database of HIV and HCV incidence studies published between Jan 1, 2000, and June 13, 2017. Using the same strategy as for this existing database, we searched MEDLINE, Embase, and PsycINFO for studies, including conference abstracts, published between June 13, 2017, and Sept 14, 2020, that estimated HIV or HCV incidence, or both, among community-recruited PWID. We only included studies reporting original results without restrictions to study design or language. We contacted authors of studies that reported HIV or HCV incidence, or both, but did not report on an association with homelessness or unstable housing, to request crude data and, where possible, adjusted effect estimates. We extracted effect estimates and pooled data using random-effects meta-analyses to quantify the associations between recent (current or within the past year) homelessness or unstable housing compared with not recent homelessness or unstable housing, and risk of HIV or HCV acquisition. We assessed risk of bias using the Newcastle-Ottawa Scale and between-study heterogeneity using the I2 statistic and p value for heterogeneity. FINDINGS We identified 14 351 references in our database search, of which 392 were subjected to full-text review alongside 277 studies from our existing database. Of these studies, 55 studies met inclusion criteria. We contacted the authors of 227 studies that reported HIV or HCV incidence in PWID but did not report association with the exposure of interest and obtained 48 unpublished estimates from 21 studies. After removal of duplicate data, we included 37 studies with 70 estimates (26 for HIV; 44 for HCV). Studies originated from 16 countries including in North America, Europe, Australia, east Africa, and Asia. Pooling unadjusted estimates, recent homelessness or unstable housing was associated with an increased risk of acquiring HIV (crude relative risk [cRR] 1·55 [95% CI 1·23-1·95; p=0·0002]; I2= 62·7%; n=17) and HCV (1·65 [1·44-1·90; p<0·0001]; I2= 44·8%; n=28]) among PWID compared with those who were not homeless or were stably housed. Associations for both HIV and HCV persisted when pooling adjusted estimates (adjusted relative risk for HIV: 1·39 [95% CI 1·06-1·84; p=0·019]; I2= 65·5%; n=9; and for HCV: 1·64 [1·43-1·89; p<0·0001]; I2= 9·6%; n=14). For risk of HIV acquisition, the association for unstable housing (cRR 1·82 [1·13-2·95; p=0·014]; n=5) was higher than for homelessness (1·44 [1·13-1·83; p=0·0036]; n=12), whereas no difference was seen between these outcomes for risk of HCV acquisition (1·72 [1·48-1·99; p<0·0001] for unstable housing, 1·66 [1·37-2·00; p<0·0001] for homelessness). INTERPRETATION Homelessness and unstable housing are associated with increased risk of HIV and HCV acquisition among PWID. Our findings support the development of interventions that simultaneously address homelessness and unstable housing and HIV and HCV transmission in this population. FUNDING National Institute for Health Research, National Institute on Drug Abuse, National Institute of Allergy and Infectious Diseases, and Commonwealth Scholarship Commission.
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Affiliation(s)
- Chiedozie Arum
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Hannah Fraser
- Population Health Sciences, University of Bristol, Bristol, UK
| | | | - Sandra Bivegete
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Adam Trickey
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Michel Alary
- Centre de recherche du CHU de Québec, Université Laval, Quebec City, QC, Canada; Département de médecine sociale et préventive, Université Laval, Quebec City, QC, Canada; Institut national de santé publique du Québec, Québec, QC, Canada
| | - Jacquie Astemborski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jennifer Iversen
- Kirby Institute for Infection and Immunity, UNSW Sydney, NSW, Australia
| | - Aaron G Lim
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Louis MacGregor
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Meghan Morris
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Jason J Ong
- Population Health Sciences, University of Bristol, Bristol, UK; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK
| | - Lucy Platt
- Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK
| | - Rachel Sack-Davis
- Burnet Institute, Melbourne, VIC, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Daniela K van Santen
- Burnet Institute, Melbourne, VIC, Australia; Department of Infectious Disease Research and Prevention, Public Health Service of Amsterdam, Amsterdam, Netherlands
| | - Sunil S Solomon
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Vana Sypsa
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Jorge Valencia
- Harm Reduction Unit "SMASD", Department of Addictions and Mental Health, Madrid, Spain
| | | | | | - Zoe Ward
- Population Health Sciences, University of Bristol, Bristol, UK
| | - Jack Stone
- Population Health Sciences, University of Bristol, Bristol, UK.
| | - Peter Vickerman
- Population Health Sciences, University of Bristol, Bristol, UK
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4
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Ang LW, Low C, Wong CS, Boudville IC, Toh MPHS, Archuleta S, Lee VJM, Leo YS, Chow A, Lin RTP. Epidemiological factors associated with recent HIV infection among newly-diagnosed cases in Singapore, 2013-2017. BMC Public Health 2021; 21:430. [PMID: 33653290 PMCID: PMC7927232 DOI: 10.1186/s12889-021-10478-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 02/09/2021] [Indexed: 11/17/2022] Open
Abstract
Background Early diagnosis is crucial in securing optimal outcomes in the HIV care cascade. Recent HIV infection (RHI) serves as an indicator of early detection in the course of HIV infection. Surveillance of RHI is important in uncovering at-risk groups in which HIV transmission is ongoing. The study objectives are to estimate the proportion of RHI among persons newly-diagnosed in 2013–2017, and to elucidate epidemiological factors associated with RHI in Singapore. Methods As part of the National HIV Molecular Surveillance Programme, residual plasma samples of treatment-naïve HIV-1 positive individuals were tested using the biotinylated peptide-capture enzyme immunoassay with a cutoff of normalized optical density ≤ 0.8 for evidence of RHI. A recent infection testing algorithm was applied for the classification of RHI. We identified risk factors associated with RHI using logistic regression analyses. Results A total of 701 newly-diagnosed HIV-infected persons were included in the study. The median age at HIV diagnosis was 38 years (interquartile range, 28–51). The majority were men (94.2%), and sexual route was the predominant mode of HIV transmission (98.3%). Overall, 133/701 (19.0, 95% confidence interval [CI] 16.2–22.0%) were classified as RHI. The proportions of RHI in 2015 (31.1%) and 2017 (31.0%) were significantly higher than in 2014 (11.2%). A significantly higher proportion of men having sex with men (23.4, 95% CI 19.6–27.6%) had RHI compared with heterosexual men (11.1, 95% CI 7.6–15.9%). Independent factors associated with RHI were: age 15–24 years (adjusted odds ratio [aOR] 4.18, 95% CI 1.69–10.31) compared with ≥55 years; HIV diagnosis in 2015 (aOR 2.36, 95% CI 1.25–4.46) and 2017 (aOR 2.52, 95% CI 1.32–4.80) compared with 2013–2014; detection via voluntary testing (aOR 1.91, 95% CI 1.07–3.43) compared with medical care; and self-reported history of HIV test(s) prior to diagnosis (aOR 1.72, 95% CI 1.06–2.81). Conclusion Although there appears to be an increasing trend towards early diagnosis, persons with RHI remain a minority in Singapore. The strong associations observed between modifiable behaviors (voluntary testing and HIV testing history) and RHI highlight the importance of increasing the accessibility to HIV testing for at-risk groups. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10478-5.
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Affiliation(s)
- Li Wei Ang
- National Public Health and Epidemiology Unit, National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore, 308442, Singapore.
| | - Carmen Low
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore
| | - Chen Seong Wong
- National HIV Programme, National Centre for Infectious Diseases, Singapore, Singapore.,Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Irving Charles Boudville
- National Public Health and Epidemiology Unit, National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore, 308442, Singapore
| | - Matthias Paul Han Sim Toh
- National Public Health and Epidemiology Unit, National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore, 308442, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Sophia Archuleta
- National HIV Programme, National Centre for Infectious Diseases, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Infectious Diseases, Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore
| | - Vernon Jian Ming Lee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Communicable Diseases Division, Ministry of Health, Singapore, Singapore
| | - Yee Sin Leo
- Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,National Centre for Infectious Diseases, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Angela Chow
- National Public Health and Epidemiology Unit, National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore, 308442, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.,Department of Clinical Epidemiology, Office of Clinical Epidemiology, Analytics, and Knowledge (OCEAN), Tan Tock Seng Hospital, Singapore, Singapore
| | - Raymond Tzer-Pin Lin
- National Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Laboratory Medicine, National University Hospital, National University Health System, Singapore, Singapore
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5
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Alex D, Raj Williams TI, Sachithanandham J, Prasannakumar S, Demosthenes JP, Ramalingam VV, Victor PJ, Rupali P, Fletcher GJ, Kannangai R. Performance of a Modified In-House HIV-1 Avidity Assay among a Cohort of Newly Diagnosed HIV-1 Infected Individuals and the Effect of ART on the Maturation of HIV-1 Specific Antibodies. Curr HIV Res 2020; 17:134-145. [PMID: 31309891 DOI: 10.2174/1570162x17666190712125606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/03/2019] [Accepted: 07/09/2019] [Indexed: 11/22/2022]
Abstract
BACKGROUND Viral kinetics impact humoral immune response to HIV; antibody avidity testing helps distinguish recent (<6 months) and long-term HIV infection. This study aims to determine the frequency of recent HIV-1 infection among clients attending ICTC (Integrated Counselling and Testing Centre) using a commercial EIA, to correlate it with a modified in-house avidity assay and to study the impact of ART on anti-HIV-1 antibody maturation. METHODS Commercial LAg Avidity EIA was used to detect antibody avidity among 117 treatment naïve HIV-1 infected individuals. A second-generation HIV ELISA was modified for in-house antibody avidity testing and cutoff was set based on Receiver Operating Characteristic (ROC) analysis. Archived paired samples from 25 HIV-1 infected individuals before ART and after successful ART; samples from 7 individuals responding to ART and during virological failure were also tested by LAg Avidity EIA. RESULTS Six individuals (5.1%) were identified as recently infected by a combination of LAg avidity assay and HIV-1 viral load testing. The modified in-house avidity assay demonstrated sensitivity and specificity of 100% and 98.2%, respectively, at AI=0.69 by ROC analysis. Median ODn values of individuals when responding to ART were significantly lower than pre-ART [4.136 (IQR 3.437- 4.827) vs 4.455 (IQR 3.748-5.120), p=0.006] whereas ODn values were higher during virological failure [4.260 (IQR 3.665 - 4.515) vs 2.868 (IQR 2.247 - 3.921), p=0.16]. CONCLUSION This modified in-house antibody avidity assay is an inexpensive method to detect recent HIV-1 infection. ART demonstrated significant effect on HIV-1 antibody avidity owing to changes in viral kinetics.
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Affiliation(s)
- Diviya Alex
- Department of Clinical Virology, Christian Medical College, Vellore, Tamil Nadu, 632004, India
| | | | | | | | - John Paul Demosthenes
- Department of Clinical Virology, Christian Medical College, Vellore, Tamil Nadu, 632004, India
| | | | - Punitha John Victor
- Department of Medicine, Christian Medical College, Vellore, Tamil Nadu, 632004, India
| | - Priscilla Rupali
- Department of Infectious Diseases, Christian Medical College, Vellore, Tamil Nadu, 632004, India
| | | | - Rajesh Kannangai
- Department of Clinical Virology, Christian Medical College, Vellore, Tamil Nadu, 632004, India
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6
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Duong YT, Kassanjee R, Welte A, Morgan M, De A, Dobbs T, Rottinghaus E, Nkengasong J, Curlin ME, Kittinunvorakoon C, Raengsakulrach B, Martin M, Choopanya K, Vanichseni S, Jiang Y, Qiu M, Yu H, Hao Y, Shah N, Le LV, Kim AA, Nguyen TA, Ampofo W, Parekh BS. Recalibration of the limiting antigen avidity EIA to determine mean duration of recent infection in divergent HIV-1 subtypes. PLoS One 2015; 10:e0114947. [PMID: 25710171 PMCID: PMC4339840 DOI: 10.1371/journal.pone.0114947] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 11/16/2014] [Indexed: 11/18/2022] Open
Abstract
Background Mean duration of recent infection (MDRI) and misclassification of long-term HIV-1 infections, as proportion false recent (PFR), are critical parameters for laboratory-based assays for estimating HIV-1 incidence. Recent review of the data by us and others indicated that MDRI of LAg-Avidity EIA estimated previously required recalibration. We present here results of recalibration efforts using >250 seroconversion panels and multiple statistical methods to ensure accuracy and consensus. Methods A total of 2737 longitudinal specimens collected from 259 seroconverting individuals infected with diverse HIV-1 subtypes were tested with the LAg-Avidity EIA as previously described. Data were analyzed for determination of MDRI at ODn cutoffs of 1.0 to 2.0 using 7 statistical approaches and sub-analyzed by HIV-1 subtypes. In addition, 3740 specimens from individuals with infection >1 year, including 488 from patients with AIDS, were tested for PFR at varying cutoffs. Results Using different statistical methods, MDRI values ranged from 88–94 days at cutoff ODn = 1.0 to 177–183 days at ODn = 2.0. The MDRI values were similar by different methods suggesting coherence of different approaches. Testing for misclassification among long-term infections indicated that overall PFRs were 0.6% to 2.5% at increasing cutoffs of 1.0 to 2.0, respectively. Balancing the need for a longer MDRI and smaller PFR (<2.0%) suggests that a cutoff ODn = 1.5, corresponding to an MDRI of 130 days should be used for cross-sectional application. The MDRI varied among subtypes from 109 days (subtype A&D) to 152 days (subtype C). Conclusions Based on the new data and revised analysis, we recommend an ODn cutoff = 1.5 to classify recent and long-term infections, corresponding to an MDRI of 130 days (118–142). Determination of revised parameters for estimation of HIV-1 incidence should facilitate application of the LAg-Avidity EIA for worldwide use.
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Affiliation(s)
- Yen T. Duong
- International Laboratory Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Reshma Kassanjee
- The South African DST/NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), University of Stellenbosch, Stellenbosch, South Africa
- School of Computational and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
| | - Alex Welte
- The South African DST/NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), University of Stellenbosch, Stellenbosch, South Africa
| | - Meade Morgan
- Epidemiology and Strategic Information Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Anindya De
- Epidemiology and Strategic Information Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Trudy Dobbs
- International Laboratory Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Erin Rottinghaus
- International Laboratory Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - John Nkengasong
- International Laboratory Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Marcel E. Curlin
- Thailand Ministry of Public Health-US CDC Collaboration, Bangkok, Thailand
| | | | | | - Michael Martin
- Thailand Ministry of Public Health-US CDC Collaboration, Bangkok, Thailand
| | - Kachit Choopanya
- Thailand Ministry of Public Health-US CDC Collaboration, Bangkok, Thailand
| | - Suphak Vanichseni
- Thailand Ministry of Public Health-US CDC Collaboration, Bangkok, Thailand
| | - Yan Jiang
- National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maofeng Qiu
- National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haiying Yu
- National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Hao
- National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Neha Shah
- California Department of Public Health, Richmond, California, United States of America
| | - Linh-Vi Le
- Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Hanoi, Vietnam
| | | | - Tuan Anh Nguyen
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
| | - William Ampofo
- Noguchi Memorial Institute for Medical Research, Accra, Ghana
| | - Bharat S. Parekh
- International Laboratory Branch, Division of Global HIV/AIDS, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- * E-mail:
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7
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Curtis KA, Longosz AF, Kennedy MS, Keating S, Heitman J, Laeyendecker O, Owen SM. Inter-laboratory assessment of a prototype multiplex kit for determination of recent HIV-1 infection. PLoS One 2013; 8:e77765. [PMID: 24147075 PMCID: PMC3798393 DOI: 10.1371/journal.pone.0077765] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Accepted: 09/05/2013] [Indexed: 11/25/2022] Open
Abstract
Background Accurate and reliable laboratory-based assays are needed for estimating HIV-1 incidence from cross-sectional samples. We recently described the development of a customized, HIV-1-specific Bio-Plex assay that allows for the measurement of HIV-specific antibody levels and avidity to multiple analytes for improved HIV-1 incidence estimates. Methods To assess intra- and inter-laboratory assay performance, prototype multiplex kits were developed and evaluated by three distinct laboratories. Longitudinal seroconversion specimens were tested in parallel by each laboratory and kit performance was compared to that of an in-house assay. Additionally, the ability of the kit to distinguish recent from long-term HIV-1 infection, as compared to the in-house assay, was determined by comparing the reactivity of known recent (infected <6 months) and long-term (infected >12 months) drug naïve specimens. Results Although the range of reactivity for each analyte varied between the prototype kit and in-house assay, a measurable distinction in reactivity between recent and long-term specimens was observed with both assays in all three laboratories. Additionally, kit performance was consistent between all three laboratories. The intra-assay coefficient of variation (CV), between sample replicates for all laboratories, ranged from 0.5% to 6.1%. The inter-laboratory CVs ranged from 8.5% to 21.3% for gp160-avidity index (a) and gp120-normalized mean fluorescent intensity (MFI) value (n), respectively. Conclusion We demonstrate the feasibility of producing a multiplex kit for measuring HIV antibody levels and avidity, with the potential for improved incidence estimates based on multi-analyte algorithms. The availability of a commercial kit will facilitate the transfer of technology among diverse laboratories for widespread assay use.
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Affiliation(s)
- Kelly A. Curtis
- Laboratory Branch, Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
- * E-mail:
| | - Andrew F. Longosz
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH, Baltimore, Maryland, United States of America
| | - M. Susan Kennedy
- Laboratory Branch, Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
| | - Sheila Keating
- Blood Systems Research Institute, San Francisco, California, United States of America
| | - John Heitman
- Blood Systems Research Institute, San Francisco, California, United States of America
| | - Oliver Laeyendecker
- Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH, Baltimore, Maryland, United States of America
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - S. Michele Owen
- Laboratory Branch, Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America
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