Global epidemiology of drug resistance after failure of WHO recommended first-line regimens for adult HIV-1 infection: a multicentre retrospective cohort study

TenoRes Study Group, John Gregson, Michele Tang, Nicaise Ndembi, Raph L Hamers, Soo-Yon Rhee, Vincent C Marconi, Lameck Diero, Katherine A Brooks, Kristof Theys, Tobias Rinke de Wit, Monica Arruda, Frederico Garcia, Susana Monge, Huldrych F Günthard, Christopher J Hoffmann, Phyllis J Kanki, Nagalingeshwaran Kumarasamy, Bernard Kerschberger, Orna Mor, Charlotte Charpentier, Eva Todesco, Casper Rokx, Luuk Gras, Elias K Helvas, Henry Sunpath, Domenico Di Carlo, Antonio Antinori, Massimo Andreoni, Alessandra Latini, Cristina Mussini, Avelin Aghokeng, Anders Sonnerborg, Ujjwal Neogi, William J Fessel, Simon Agolory, Chunfu Yang, Jose L Blanco, James M Juma, Erasmus Smit, Daniel Schmidt, Christine Watera, Juliet Asio, Wilford Kurungi, Anna Tostevin, Tal El-Hay, Nathan Clumeck, Dominique Goedhals, Cloete Van Vuuren, Philip A Bester, Caroline Sabin, Irene Mukui, Maria M Santoro, Carlo F Perno, Gillian Hunt, Lynn Morris, Ricardo Camacho, Tulio De Oliveira, Deenan Pillay, Eugene Schulter, Akio Murakami-Ogasawara, Gustavo Reyes-Terán, Karla Romero, Santiago Avila-Rios, Sunee Sirivichayakul, Kiat Ruxrungtham, Suwanna Mekprasan, David Dunn, Pontiano Kaleebu, Elliot Raizes, Rami Kantor, Robert W Shafer, Ravindra K Gupta, TenoRes Study Group, John Gregson, Michele Tang, Nicaise Ndembi, Raph L Hamers, Soo-Yon Rhee, Vincent C Marconi, Lameck Diero, Katherine A Brooks, Kristof Theys, Tobias Rinke de Wit, Monica Arruda, Frederico Garcia, Susana Monge, Huldrych F Günthard, Christopher J Hoffmann, Phyllis J Kanki, Nagalingeshwaran Kumarasamy, Bernard Kerschberger, Orna Mor, Charlotte Charpentier, Eva Todesco, Casper Rokx, Luuk Gras, Elias K Helvas, Henry Sunpath, Domenico Di Carlo, Antonio Antinori, Massimo Andreoni, Alessandra Latini, Cristina Mussini, Avelin Aghokeng, Anders Sonnerborg, Ujjwal Neogi, William J Fessel, Simon Agolory, Chunfu Yang, Jose L Blanco, James M Juma, Erasmus Smit, Daniel Schmidt, Christine Watera, Juliet Asio, Wilford Kurungi, Anna Tostevin, Tal El-Hay, Nathan Clumeck, Dominique Goedhals, Cloete Van Vuuren, Philip A Bester, Caroline Sabin, Irene Mukui, Maria M Santoro, Carlo F Perno, Gillian Hunt, Lynn Morris, Ricardo Camacho, Tulio De Oliveira, Deenan Pillay, Eugene Schulter, Akio Murakami-Ogasawara, Gustavo Reyes-Terán, Karla Romero, Santiago Avila-Rios, Sunee Sirivichayakul, Kiat Ruxrungtham, Suwanna Mekprasan, David Dunn, Pontiano Kaleebu, Elliot Raizes, Rami Kantor, Robert W Shafer, Ravindra K Gupta

Abstract

Background: Antiretroviral therapy (ART) is crucial for controlling HIV-1 infection through wide-scale treatment as prevention and pre-exposure prophylaxis (PrEP). Potent tenofovir disoproxil fumarate-containing regimens are increasingly used to treat and prevent HIV, although few data exist for frequency and risk factors of acquired drug resistance in regions hardest hit by the HIV pandemic. We aimed to do a global assessment of drug resistance after virological failure with first-line tenofovir-containing ART.

Methods: The TenoRes collaboration comprises adult HIV treatment cohorts and clinical trials of HIV drug resistance testing in Europe, Latin and North America, sub-Saharan Africa, and Asia. We extracted and harmonised data for patients undergoing genotypic resistance testing after virological failure with a first-line regimen containing tenofovir plus a cytosine analogue (lamivudine or emtricitabine) plus a non-nucleotide reverse-transcriptase inhibitor (NNRTI; efavirenz or nevirapine). We used an individual participant-level meta-analysis and multiple logistic regression to identify covariates associated with drug resistance. Our primary outcome was tenofovir resistance, defined as presence of K65R/N or K70E/G/Q mutations in the reverse transcriptase (RT) gene.

Findings: We included 1926 patients from 36 countries with treatment failure between 1998 and 2015. Prevalence of tenofovir resistance was highest in sub-Saharan Africa (370/654 [57%]). Pre-ART CD4 cell count was the covariate most strongly associated with the development of tenofovir resistance (odds ratio [OR] 1·50, 95% CI 1·27-1·77 for CD4 cell count <100 cells per μL). Use of lamivudine versus emtricitabine increased the risk of tenofovir resistance across regions (OR 1·48, 95% CI 1·20-1·82). Of 700 individuals with tenofovir resistance, 578 (83%) had cytosine analogue resistance (M184V/I mutation), 543 (78%) had major NNRTI resistance, and 457 (65%) had both. The mean plasma viral load at virological failure was similar in individuals with and without tenofovir resistance (145 700 copies per mL [SE 12 480] versus 133 900 copies per mL [SE 16 650; p=0·626]).

Interpretation: We recorded drug resistance in a high proportion of patients after virological failure on a tenofovir-containing first-line regimen across low-income and middle-income regions. Effective surveillance for transmission of drug resistance is crucial.

Funding: The Wellcome Trust.

Copyright © 2016 The TenoRes Study Group. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd.. All rights reserved.

Figures

Figure 1
Figure 1
(A) Countries contributing data to resistance analysis and HIV-1 subtype distribution, (B) prevalence of drug resistance by mutation and by region NNRTI=non-nucleotide reverse-transcriptase inhibitor. TDF=tenofovir disoproxil fumarate. *24% (n=462) of participants had tenofovir resistance when genotypes from viral load >1000 copies HIV-1 RNA per mL were considered.
Figure 2
Figure 2
Pooled odds ratios for tenofovir resistance after viral failure for baseline CD4 cell count vs ≥100 × 106 cells per μL TDF+ denotes presence of tenofovir resistance. TDF=tenofovir disoproxil fumarate.
Figure 3
Figure 3
Odds ratios for NNRTI resistance for (A) baseline CD4 cell count vs ≥100 cells per μL, (B) viral load ≥100 000 vs <100 000 copies HIV-1 RNA per mL NNRTI=non-nucleotide reverse-transcriptase inhibitor.
Figure 4
Figure 4
Boxplot of log viral load by presence (TDF-positive) or absence (TDF-negative) of tenofovir resistance at viral failure in studies with at least ten patients with TDF resistance and a viral load measurement at treatment failure We restricted to studies with at least ten TDF-resistant mutations to help with graphical clarity, although the pattern of similar distributions of failure viral load in the presence or absence of TDF resistance was true for all studies. TDF=tenofovir disoproxil fumarate. Blue dots represent outliers.

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Source: PubMed

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