1
|
Use of an Indeterminate Range in HIV Early Infant Diagnosis: A Systematic Review and Meta-Analysis. J Acquir Immune Defic Syndr 2020; 82:281-286. [PMID: 31609927 DOI: 10.1097/qai.0000000000002104] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Expanded access to HIV antiretrovirals has dramatically reduced mother-to-child transmission of HIV. However, there is increasing concern around false-positive HIV test results in perinatally HIV-exposed infants but few insights into the use of indeterminate range to improve infant HIV diagnosis. METHODS A systematic review and meta-analysis was conducted to evaluate the use of an indeterminate range for HIV early infant diagnosis. Published and unpublished studies from 2000 to 2018 were included. Study quality was evaluated using GRADE and QUADAS-2 criteria. A random-effects model compared various indeterminate ranges for identifying true and false positives. RESULTS The review identified 32 studies with data from over 1.3 million infants across 14 countries published from 2000 to 2018. Indeterminate results accounted for 16.5% of initial non-negative test results, and 76% of indeterminate results were negative on repeat testing. Most results were from Roche tests. In the random-effects model, an indeterminate range using a polymerase chain reaction cycle threshold value of ≥33 captured over 93% of false positives while classifying fewer than 9% of true positives as indeterminate. CONCLUSIONS Without the use of an indeterminate range, over 10% of infants could be incorrectly diagnosed as HIV positive if their initial test results are not confirmed. Use of an indeterminate range appears to lead to substantial improvements in the accuracy of early infant diagnosis testing and supports current recommendations to confirm all initial positive tests.
Collapse
|
2
|
Haeri Mazanderani A, Kufa T, Technau KG, Strehlau R, Patel F, Shiau S, Burke M, Kuhn L, Abrams EJ, Sherman GG. Early infant diagnosis HIV-1 PCR cycle-threshold predicts infant viral load at birth. J Clin Virol 2019; 114:21-25. [PMID: 30903987 DOI: 10.1016/j.jcv.2019.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 02/14/2019] [Accepted: 03/15/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND HIV-1 viral load (VL) has been found to be an independent predictor for disease progression among untreated HIV-infected children. However, qualitative polymerase chain reaction (PCR) assays are routinely used for early infant diagnosis (EID). OBJECTIVES To predict HIV-1 VL at birth using qualitative EID real-time PCR cycle-threshold (Ct) values. STUDY DESIGN This study was a secondary analysis of results from a cohort of intrauterine HIV-1 infected neonates. Neonates were enrolled at Rahima Moosa Mother & Child Hospital in Johannesburg, South Africa between June 2014 and November 2017. Laboratory EID HIV-1 PCR testing was performed at birth using COBAS AmpliPrep/COBAS TaqMan HIV-1 Qualitative Test v2.0 (EID CAP/CTM). Some infants had simultaneous EID point-of-care (POC) testing using Xpert HIV-1 Qualitative assay (EID Xpert). Neonates with a confirmed HIV-1 detected EID result and plasma HIV-1 RNA VL test were included in this analysis. Bland-Altman analysis was used to determine extent of agreement between Ct values of both EID assays. Multivariable linear regression models adjusting for time between EID and VL testing were used to describe the association between EID Ct values and VL and to predict VL at given EID Ct values. RESULTS Among 107 HIV-1 infected neonates included in the study, 59 had POC EID testing. Median VL was 28 400 copies per millilitre (cps/ml) (IQR: 1 918-218 358) - two neonates had VL < 100 cps/ml prior to antiretroviral therapy initiation. There was good correlation between Ct values of both EID assays (Spearman correlation coefficient 0.9, 95% CI: 0.8-1.0). The limits of agreement between EID CAP/CTM and Xpert Ct values were 4-11 cycles. For every one cycle increase in Ct value there was 0.3 log10 RNA decrease (95% CI: -0.3 to -0.2) for both EID assays. An EID CAP/CTM Ct value ≤ 23 and an EID Xpert Ct value ≤ 31 predicted a VL of > 5.0 log10 cps/ml in 82.2% (95% CI: 73.9-88.3) and 84.7% (95% CI: 73.7-91.8) of cases, respectively. CONCLUSION EID Ct values at birth predict VL and accurately identify infants with VL > 5.0 log10 cps/ml.
Collapse
Affiliation(s)
- Ahmad Haeri Mazanderani
- Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa; Department of Medical Virology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
| | - Tendesayi Kufa
- Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Karl G Technau
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Renate Strehlau
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Faeezah Patel
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Stephanie Shiau
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Megan Burke
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Louise Kuhn
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, USA; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Elaine J Abrams
- Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA; ICAP, Mailman School of Public Health, Columbia University, New York, NY, USA; Department of Pediatrics, College of Physicians & Surgeons, Columbia University, New York, USA
| | - Gayle G Sherman
- Centre for HIV and STIs, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa; Empilweni Services and Research Unit, Rahima Moosa Mother and Child Hospital, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | | |
Collapse
|