Performance of cepheid GeneXpert HIV-1 viral load plasma assay to accurately detect treatment failure: a clinical meta-analysis.

BACKGROUND Coverage of viral load testing remains low with only half of the patients in need having adequate access. Alternative technologies to high throughput centralized machines can be used to support viral load scale-up; however, clinical performance data are lacking. We conducted a meta-analysis comparing the Cepheid Xpert HIV-1 viral load plasma assay to traditional laboratory-based technologies. METHODS Cepheid Xpert HIV-1 and comparator laboratory technology plasma viral load results were provided from 13 of the 19 eligible studies, which accounted for a total of 3790 paired data points. We used random effects models to determine the accuracy and misclassification at various treatment failure thresholds (detectable, 200, 400, 500, 600, 800 and 1000 copies/ml). RESULTS Thirty percent of viral load test results were undetectable, while 45% were between detectable and 10 000 copies/ml and the remaining 25% were above 10 000 copies/ml. The median Xpert viral load was 119 copies/ml and the median comparator viral load was 157 copies/ml, while the log10 bias was 0.04 (0.02-0.07). The sensitivity and specificity to detect treatment failure were above 95% at all treatment failure thresholds, except for detectable, at which the sensitivity was 93.33% (95% confidence interval: 88.2-96.3) and specificity was 80.56% (95% CI: 64.6-90.4). CONCLUSION The Cepheid Xpert HIV-1 viral load plasma assay results were highly comparable to laboratory-based technologies with limited bias and high sensitivity and specificity to detect treatment failure. Alternative specimen types and technologies that enable decentralized testing services can be considered to expand access to viral load.

[1]  Claudia Arcuri,et al.  Xpert HIV-1 Viral Load Assay and VERSANT HIV-1 RNA 1.5 Assay: A Performance Comparison. , 2016, Journal of acquired immune deficiency syndromes.

[2]  Jean-Christophe Plantier,et al.  Performance Evaluation of the New HIV-1 Quantification Assay, Xpert HIV-1 Viral Load, on a Wide Panel of HIV-1 Variants , 2016, Journal of acquired immune deficiency syndromes.

[3]  J. C. Houwelingen,et al.  Bivariate Random Effects Meta-Analysis of ROC Curves , 2008, Medical decision making : an international journal of the Society for Medical Decision Making.

[4]  P. Revill,et al.  Cost‐effectiveness of routine viral load monitoring in low‐ and middle‐income countries: a systematic review , 2017, Journal of the International AIDS Society.

[5]  A. Wu,et al.  Multi-site clinical evaluation of the Xpert(®) HIV-1 viral load assay. , 2016, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

[6]  Lara Vojnov,et al.  Effect of point-of-care early infant diagnosis on antiretroviral therapy initiation and retention of patients , 2018, AIDS.

[7]  Madhukar Pai,et al.  Development, roll-out and impact of Xpert MTB/RIF for tuberculosis: what lessons have we learnt and how can we do better? , 2016, European Respiratory Journal.

[8]  Trevor Peter,et al.  POC CD4 Testing Improves Linkage to HIV Care and Timeliness of ART Initiation in a Public Health Approach: A Systematic Review and Meta-Analysis , 2016, PloS one.

[9]  Trevor F Peter,et al.  How point-of-care testing could drive innovation in global health. , 2013, The New England journal of medicine.

[10]  John Frater,et al.  A pilot evaluation of whole blood finger-prick sampling for point-of-care HIV viral load measurement: the UNICORN study , 2017, Scientific Reports.

[11]  Natasha Samsunder,et al.  Diagnostic Accuracy of the Point-of-Care Xpert HIV-1 Viral Load Assay in a South African HIV Clinic , 2016, Journal of acquired immune deficiency syndromes.

[12]  V. Pillay,et al.  Antiretroviral Resistance Patterns in Children with HIV Infection , 2019, Current Infectious Disease Reports.

[13]  Shanmugam Saravanan,et al.  Performance of point‐of‐care Xpert HIV‐1 plasma viral load assay at a tertiary HIV care centre in Southern India , 2017, Journal of medical microbiology.

[14]  Orna Mor,et al.  Evaluation of the RealTime HIV-1, Xpert HIV-1, and Aptima HIV-1 Quant Dx Assays in Comparison to the NucliSens EasyQ HIV-1 v2.0 Assay for Quantification of HIV-1 Viral Load , 2015, Journal of Clinical Microbiology.

[15]  Youyi Fong,et al.  Significant Patient Impact Observed Upon Implementation of Point-of-Care Early Infant Diagnosis Technologies in an Observational Study in Malawi , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[16]  Lei Zhang,et al.  Projecting the epidemiological effect, cost-effectiveness and transmission of HIV drug resistance in Vietnam associated with viral load monitoring strategies. , 2016, The Journal of antimicrobial chemotherapy.

[17]  M. Pai,et al.  Market penetration of Xpert MTB/RIF in high tuberculosis burden countries: A trend analysis from 2014 - 2016. , 2018, Gates open research.

[18]  Leigh Berrie,et al.  Options to Expand HIV Viral Load Testing in South Africa: Evaluation of the GeneXpert® HIV-1 Viral Load Assay , 2016, PloS one.

[19]  Bryan R Cobb,et al.  Evolution in the sensitivity of quantitative HIV-1 viral load tests. , 2011, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

[20]  Nello Blaser,et al.  Cost-effectiveness of point-of-care viral load monitoring of antiretroviral therapy in resource-limited settings: mathematical modelling study , 2013, AIDS.

[21]  Thomas A Trikalinos,et al.  An Empirical Assessment of Bivariate Methods for Meta-Analysis of Test Accuracy , 2012 .

[22]  Dan Turner,et al.  Comparison between Roche and Xpert in HIV-1 RNA quantitation: A high concordance between the two techniques except for a CRF02_AG subtype variant with high viral load titters detected by Roche but undetected by Xpert. , 2017, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

[23]  M. Cornelissen,et al.  High prevalence of virological failure and HIV drug mutations in a first-line cohort of Malawian children , 2018, The Journal of antimicrobial chemotherapy.

[24]  Maria Cristina Marazzi,et al.  Comparison of the Cepheid GeneXpert and Abbott M2000 HIV-1 real time molecular assays for monitoring HIV-1 viral load and detecting HIV-1 infection. , 2016, Journal of virological methods.

[25]  Madhukar Pai,et al.  Use of the GeneXpert tuberculosis system for HIV viral load testing in India. , 2017, The Lancet. Global health.

[26]  Smita Kulkarni,et al.  GeneXpert HIV-1 quant assay, a new tool for scale up of viral load monitoring in the success of ART programme in India , 2017, BMC Infectious Diseases.

[27]  M. Mwau,et al.  Performance and usability of Cepheid GeneXpert HIV-1 qualitative and quantitative assay in Kenya , 2019, PloS one.

[28]  Sikhulile Moyo,et al.  Point-of-Care Cepheid Xpert HIV-1 Viral Load Test in Rural African Communities Is Feasible and Reliable , 2016, Journal of Clinical Microbiology.

[29]  Madhukar Pai,et al.  Performance of the Xpert HIV-1 Viral Load Assay: a Systematic Review and Meta-analysis , 2018, Journal of Clinical Microbiology.

[30]  Jeffrey W. Eaton,et al.  Sustainable HIV treatment in Africa through viral-load-informed differentiated care , 2015, Nature.

[31]  Diederick E Grobbee,et al.  Effect of HIV-1 low-level viraemia during antiretroviral therapy on treatment outcomes in WHO-guided South African treatment programmes: a multicentre cohort study. , 2017, The Lancet. Infectious diseases.