Bibliographic record
Abstract
In this issue, Ravindra Gupta and colleagues1The TenoRes Study GroupGlobal epidemiology of drug resistance after failure of WHO recommended first-line regimens for adult HIV-1 infection: a multicentre retrospective cohort study.Lancet Infect Dis. 2016; (published online Jan 28.)http://dx.doi.org/10.1016/S1473-3099(15)00536-8Google Scholar present compelling findings of the epidemiology of HIV drug resistance. Based on the results of a collaborative study termed TenoRes, the researchers clearly document that the prevalence of HIV drug resistance against the commonly used antiretroviral drug tenofovir is far higher than expected, especially in sub-Saharan Africa. This result is disconcerting because it had previously been thought that tenofovir might be less prone to development of drug resistance than other compounds. The investigators went on to show that a strong predictor of tenofovir resistance was a CD4 cell count of less than 100 cells per μL, suggesting an HIV-damaged immune system. The use of lamivudine compared with emtricitabine was also associated with an increased risk of tenofovir resistance, a finding that might reflect the longer intracellular half-life that is associated with the active form of emtricitabine compared with lamivudine.2Wang LH, Begley J, St Claire RL et al. Pharmacokinetic and pharmacodynamic characteristics of emtricitabine support its Once Daily Dosing for the treatment of HIV infection. AIDS Res Hum Retroviruses 20: 1173–82.Google Scholar The finding that HIV drug resistance has occurred at higher than expected levels indicates a need to develop treatment regimens that will be less prone to this problem, which is one that should probably have been anticipated as an unavoidable outcome of the successful HIV drug rollout programmes that have helped to save millions of lives around the world in the past several decades. Among other considerations, a new pro-drug of tenofovir termed tenefovir alafenamide fumarate might be less prone to development of drug resistance because of lower toxic effects than tenofovir itself, which is associated with loss of bone mineral density and raised creatinine concentrations.3Sax PE Wohl D Yin MT et al.Tenofovir alafenamide versus tenofovir disoproxil fumarate, coformulated with elvitegravir, cobicistat, and emtricitabine, for initial treatment of HIV-1 infection: two randomised, double-blind, phase 3, non-inferiority trials.Lancet. 2015; 385: 2606-2615Summary Full Text Full Text PDF PubMed Scopus (468) Google Scholar However, this might not necessarily translate into lower levels of drug resistance because the same mutation at position K65R in reverse transcriptase causes resistance to both drugs and might be more prone to develop in subtype C viruses that were assessed in this and other studies.4Invernizzi CF Coutsinos D Oliveira M et al.Signature nucleotide polymorphisms at positions 64 and 65 in reverse transcriptase favor the selection of the K65R resistance mutation in HIV-1 subtype C.J Infect Dis. 2009; 200: 1202-1206Crossref PubMed Scopus (50) Google Scholar, 5Brenner BG Coutsinos D The K65R mutation in HIV-1 reverse transcriptase: genetic barriers, resistance profile and clinical implications.HIV Ther. 2009; 3: 583-594Crossref PubMed Scopus (54) Google Scholar, 6Sunpath H Wu B Gordon M et al.High rate of K65R for antiretroviral therapy-naive patients with subtype C HIV infection failing a tenofovir containing first-line regimen.AIDS. 2012; 26: 1679-1684Crossref PubMed Scopus (70) Google Scholar, 7Hosseinipour MC van Oosterhout JJ Weigel R et al.The public health approach to identify antiretroviral therapy failure: high-level nucleoside reverse transcriptase inhibitor resistance among Malawians failing first-line antiretroviral therapy.AIDS. 2009; 23: 1127-1134Crossref PubMed Scopus (245) Google Scholar, 8Marconi VC Sunpath H Lu Z et al.Prevalence of HIV-1 drug resistance after failure of a first highly active antiretroviral therapy regimen in KwaZulu Natal, South Africa.Clin Infect Dis. 2008; 46: 1589-1597Crossref PubMed Scopus (201) Google Scholar Unfortunately, subtype C viruses are predominant in many low-income and middle-income countries8Marconi VC Sunpath H Lu Z et al.Prevalence of HIV-1 drug resistance after failure of a first highly active antiretroviral therapy regimen in KwaZulu Natal, South Africa.Clin Infect Dis. 2008; 46: 1589-1597Crossref PubMed Scopus (201) Google Scholar and limited availability of integrase inhibitors in such settings for use in first-line therapy despite the fact that their use is now recommended by almost all treatment guidelines, will potentially exacerbate this problem. Another important finding of this study is that drug resistance was more likely to develop in individuals who have low CD4 cell counts due to HIV disease progression. Aside from focusing attention on the important role that a functional immune system can play in mitigating disease progression and development of drug resistance, we also know that an individual has the best chance of attaining long-term treatment success by starting treatment as soon as possible after diagnosis when CD4 concentrations are high.9Lundgren JD Babiker AG et al.INSIGHT START Study GroupInitiation of antiretroviral therapy in early asymptomatic HIV infection.N Engl J Med. 2015; 373: 795-807Crossref PubMed Scopus (2) Google Scholar Therefore, the identification of individuals as HIV positive as efficiently and as soon as possible is important; WHO has recently introduced a strategy termed 90-90-90 that seeks to identify 90% of people in the world who are HIV positive, to treat 90% of such people, and to attain a non-detectable viral load in 90% of such cases after treatment initiation. The hope is that this will also serve to prevent onward HIV transmission because individuals who have undetectable viraemia are unlikely to be infectious for their partners.10Quinn TC Wawer MJ Sewankambo N et al.Viral load and heterosexual transmission of human immunodeficiency virus type 1. Rakai Project Study Group.N Engl J Med. 2000; 342: 921-929Crossref PubMed Scopus (2494) Google Scholar, 11Cohen MS Chen YQ McCauley M et al.Prevention of HIV-1 Infection with Early Antiretroviral Therapy.N Engl J Med. 2011; 365: 493-505Crossref PubMed Scopus (5412) Google Scholar, 12Powers KA Kretzschmar ME Miller WC et al.Impact of early-stage HIV transmission on treatment as prevention.Proc Natl Acad Sci USA. 2014; 111: 15867-15868Crossref PubMed Scopus (17) Google Scholar Of course, the success of the WHO 90-90-90 guidelines depends on convincing a very high proportion of high-risk individuals who are unaware of their HIV status to agree to be tested. In this context, a sound argument can be made that more effective incentivisation is urgently needed and perhaps a financial offering could make a difference. Although the costs of such a programme could be high, these would almost certainly be dwarfed by the costs involved in providing antiretroviral treatment to people who might become infected by those who have not yet undergone therapy because their HIV status is unknown. Altogether, the results of this study are a reminder that the problems of HIV drug resistance and transmitted drug resistance are very real, especially in developing country settings, and that there is a need for enhanced, cost-effective tests that can screen for drug resistance in parts of the world in which such tests are often not affordable as well as for more effective screening for HIV infection in the first place. I declare no competing interests. Global epidemiology of drug resistance after failure of WHO recommended first-line regimens for adult HIV-1 infection: a multicentre retrospective cohort studyWe 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. Full-Text PDF Open Access
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".