Literature DB >> 30282603

Clinically relevant thresholds for ultrasensitive HIV drug resistance testing: a multi-country nested case-control study.

Seth C Inzaule1, Raph L Hamers2, Marc Noguera-Julian3, Maria Casadellà4, Mariona Parera4, Cissy Kityo5, Kim Steegen6, Denise Naniche7, Bonaventura Clotet3, Tobias F Rinke de Wit1, Roger Paredes3.   

Abstract

BACKGROUND: Implementation of ultrasensitive HIV drug resistance tests for routine clinical use is hampered by uncertainty about the clinical relevance of drug-resistant minority variants. We assessed different detection thresholds for pretreatment drug resistance to predict an increased risk of virological failure.
METHODS: We did a case-control study nested within a prospective multicountry cohort. Our study included patients from 12 clinical sites in Kenya, Nigeria, South Africa, Uganda, and Zambia. We defined cases as patients with virological failure (ie, those who had either viral load ≥400 copies per mL at 12 months or had switched to second-line antiretroviral therapy [ART] as a result of virological failure before 12 months) and controls as those with viral suppression (viral load <400 copies per mL at 12 months) on first-line non-nucleoside reverse transcriptase inhibitor-based antiretroviral therapy. We assessed pretreatment drug resistance with Illumina MiSeq next-generation sequencing, using the International Antiviral Society (IAS)-USA mutation list or the Stanford HIV Drug Resistance Database (HIVDB) genotypic sensitivity score. We calculated diagnostic accuracy measures and assessed the odds of virological failure using conditional logistic regression for 1%, 5%, and 10% pretreatment drug resistance detection thresholds, compared with the conventional 20% or more used in Sanger-based sequencing.
FINDINGS: Paired viral load results before ART and at month 12 of follow-up were available from 1896 participants. We identified 178 patients with virological failure and selected 338 matched controls. We excluded 117 patients from pretreatment drug resistance analysis; therefore, 152 cases of virological failure and 247 controls were included in the final analysis. With the IAS-USA mutation list, at a detection threshold of 20% or more in patients with pretreatment drug resistance, the adjusted odds ratio (OR) for virological failure was 9·2 (95% CI 4·2-20·1) compared with those without pretreatment drug resistance. Lowering the threshold resulted in adjusted ORs of virological failure of 6·8 (95% CI 3·3-13·9) at the 10% threshold, 7·6 (3·4-17·1) at the 5% threshold, and 4·5 (2·0-10·2) at the 1% threshold. Lowering the detection threshold from 20% improved the sensitivity (ie, ability to identify cases) from 12% (n=18) to 13% (n=19) at detection threshold 10%, to 15% (n=23) at detection threshold 5%, and to 17% (n=26) at detection threshold 1%, but caused a slight reduction in specificity (ie, ability to identify controls) from 98% (n=241) to 96% (n=238) at the 10% threshold, 96% (n=236) at the 5% threshold, and a larger reduction to 92% (n=227) at the 1% threshold. Diagnostic ORs were 5·4 (95% CI 2·1-13·9) at the 20% threshold, 3·8 (1·7-8·6) at the 10% threshold, 3·8 (1·8-8·1) at the 5% threshold, and 2·3 (1·2-4·2) at the 1% threshold. Use of the Stanford HIVDB genotypic sensitivity scores yielded similar ORs for virological failure, sensitivities, specificities, and diagnostic ORs.
INTERPRETATION: Ultrasensitive resistance testing for pretreatment drug resistance improved identification of people at risk of virological failure; however, this came with a reduction in our ability to identify people with viral suppression, especially at very low thresholds. Further modelling is needed to estimate the optimal trade-off for the 5% and 20% thresholds, balancing improved case finding against unnecessary regimen switching. FUNDING: The Netherlands Ministry of Foreign Affairs, IrsiCaixa, and European Union.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30282603     DOI: 10.1016/S2352-3018(18)30177-2

Source DB:  PubMed          Journal:  Lancet HIV        ISSN: 2352-3018            Impact factor:   12.767


  24 in total

1.  Performance of a high-throughput next-generation sequencing method for analysis of HIV drug resistance and viral load.

Authors:  Jessica M Fogel; David Bonsall; Vanessa Cummings; Rory Bowden; Tanya Golubchik; Mariateresa de Cesare; Ethan A Wilson; Theresa Gamble; Carlos Del Rio; D Scott Batey; Kenneth H Mayer; Jason E Farley; James P Hughes; Robert H Remien; Chris Beyrer; Christophe Fraser; Susan H Eshleman
Journal:  J Antimicrob Chemother       Date:  2020-12-01       Impact factor: 5.790

2.  HIV-1 Drug Resistance Assay Using Ion Torrent Next Generation Sequencing and On-Instrument End-to-End Analysis Software.

Authors:  Michael T Pyne; Keith E Simmon; Melanie A Mallory; Weston C Hymas; Jeffery Stevenson; Adam P Barker; David R Hillyard
Journal:  J Clin Microbiol       Date:  2022-06-14       Impact factor: 11.677

3.  Near point-of-care, point-mutation test to detect drug resistance in HIV-1: a validation study in a Mexican cohort.

Authors:  Nuttada Panpradist; Ingrid A Beck; Parker S Ruth; Santiago Ávila-Ríos; Claudia García-Morales; Maribel Soto-Nava; Daniela Tapia-Trejo; Margarita Matías-Florentino; Hector E Paz-Juarez; Silvia Del Arenal-Sanchez; Gustavo Reyes-Terán; Barry R Lutz; Lisa M Frenkel
Journal:  AIDS       Date:  2020-07-15       Impact factor: 4.177

4.  Low-Abundance Drug-Resistant HIV-1 Variants in Antiretroviral Drug-Naive Individuals: A Systematic Review of Detection Methods, Prevalence, and Clinical Impact.

Authors:  Herbert A Mbunkah; Silvia Bertagnolio; Raph L Hamers; Gillian Hunt; Seth Inzaule; Tobias F Rinke De Wit; Roger Paredes; Neil T Parkin; Michael R Jordan; Karin J Metzner
Journal:  J Infect Dis       Date:  2020-04-27       Impact factor: 5.226

5.  External Quality Assessment for Next-Generation Sequencing-Based HIV Drug Resistance Testing: Unique Requirements and Challenges.

Authors:  Emma R Lee; Feng Gao; Paul Sandstrom; Hezhao Ji
Journal:  Viruses       Date:  2020-05-16       Impact factor: 5.048

6.  A MiSeq-HyDRA platform for enhanced HIV drug resistance genotyping and surveillance.

Authors:  Tracy Taylor; Emma R Lee; Mikaela Nykoluk; Eric Enns; Binhua Liang; Rupert Capina; Marie-Krystel Gauthier; Gary Van Domselaar; Paul Sandstrom; James Brooks; Hezhao Ji
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

Review 7.  Quality Control of Next-Generation Sequencing-Based HIV-1 Drug Resistance Data in Clinical Laboratory Information Systems Framework.

Authors:  Rupert Capina; Katherine Li; Levon Kearney; Anne-Mieke Vandamme; P Richard Harrigan; Kristel Van Laethem
Journal:  Viruses       Date:  2020-06-14       Impact factor: 5.048

Review 8.  Next-Generation Sequencing for HIV Drug Resistance Testing: Laboratory, Clinical, and Implementation Considerations.

Authors:  Santiago Ávila-Ríos; Neil Parkin; Ronald Swanstrom; Roger Paredes; Robert Shafer; Hezhao Ji; Rami Kantor
Journal:  Viruses       Date:  2020-06-05       Impact factor: 5.048

9.  Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing.

Authors:  Marc Noguera-Julian; Emma R Lee; Robert W Shafer; Rami Kantor; Hezhao Ji
Journal:  Viruses       Date:  2020-06-20       Impact factor: 5.818

10.  Development and Application of Performance Assessment Criteria for Next-Generation Sequencing-Based HIV Drug Resistance Assays.

Authors:  Michael G Becker; Dun Liang; Breanna Cooper; Yan Le; Tracy Taylor; Emma R Lee; Sutan Wu; Paul Sandstrom; Hezhao Ji
Journal:  Viruses       Date:  2020-06-10       Impact factor: 5.048

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