HIV-1 drug resistance evolution among patients on potent combination antiretroviral therapy with detectable viremia

Prevalence and factors associated with HIV-1 drug resistance mutations in treatment-experienced patients in Nairobi, Kenya: A cross-sectional study

ABSTRACT

An estimated 1.5 million Kenyans are HIV-seropositive, with 1.1 million on antiretroviral therapy (ART), with the majority of them unaware of their drug resistance status. In this study, we assessed the prevalence of drug resistance to nucleoside reverse transcriptase inhibitors (NRTIs), nucleoside reverse transcriptase inhibitors (NNRTIs), and protease inhibitors, and the variables associated with drug resistance in patients failing treatment in Nairobi, Kenya.This cross-sectional study utilized 128 HIV-positive plasma samples obtained from patients enrolled for routine viral monitoring in Nairobi clinics between 2015 and 2017. The primary outcome was human immunodeficiency virus type 1 (HIV-1) drug resistance mutation counts determined by Sanger sequencing of the polymerase (pol) gene followed by interpretation using Stanford's HIV Drug Resistance Database. Poisson regression was used to determine the effects of sex, viral load, age, HIV-subtype, treatment duration, and ART-regimen on the primary outcome.HIV-1 drug resistance mutations were found in 82.3% of the subjects, with 15.3% of subjects having triple-class ART resistance and 45.2% having dual-class resistance. NRTI primary mutations M184 V/I and K65R/E/N were found in 28.8% and 8.9% of subjects respectively, while NNRTI primary mutations K103N/S, G190A, and Y181C were found in 21.0%, 14.6%, and 10.9% of subjects. We found statistically significant evidence (P = .013) that the association between treatment duration and drug resistance mutations differed by sex. An increase of one natural-log transformed viral load unit was associated with 11% increase in drug resistance mutation counts (incidence rate ratio [IRR] 1.11; 95% CI 1.06-1.16; P < .001) after adjusting for age, HIV-1 subtype, and the sex-treatment duration interaction. Subjects who had been on treatment for 31 to 60 months had 63% higher resistance mutation counts (IRR 1.63; 95% CI 1.12-2.43; P = .013) compared to the reference group (<30 months). Similarly, patients on ART for 61 to 90 months were associated with 133% higher mutation counts than the reference group (IRR 2.33; 95% CI 1.59-3.49; P < .001). HIV-1 subtype, age, or ART-regimen were not associated with resistance mutation counts.Drug resistance mutations were found in alarmingly high numbers, and they were associated with viral load and treatment time. This finding emphasizes the importance of targeted resistance monitoring as a tool for addressing the problem.

Evolution of Protease Inhibitor Resistance in Human Immunodeficiency Virus Type 1 Infected Patients Failing Protease Inhibitor Monotherapy as Second-line Therapy in Low-income Countries: An Observational Analysis Within the EARNEST Randomized Trial

BACKGROUND

Limited viral load (VL) testing in human immunodeficiency virus (HIV) treatment programs in low-income countries often delays detection of treatment failure. The impact of remaining on failing protease inhibitor (PI)-containing regimens is unclear.

METHODS

We retrospectively tested VL in 2164 stored plasma samples from 386 patients randomized to receive lopinavir monotherapy (after initial raltegravir induction) in the Europe-Africa Research Network for Evaluation of Second-line Therapy (EARNEST) trial. Protease genotypic resistance testing was performed when VL >1000 copies/mL. We assessed evolution of PI resistance mutations from virological failure (confirmed VL >1000 copies/mL) until PI monotherapy discontinuation and examined associations using mixed-effects models.

RESULTS

Median post-failure follow-up (in 118 patients) was 68 (interquartile range, 48-88) weeks. At failure, 20% had intermediate/high-level resistance to lopinavir. At 40-48 weeks post-failure, 68% and 51% had intermediate/high-level resistance to lopinavir and atazanavir; 17% had intermediate-level resistance (none high) to darunavir. Common PI mutations were M46I, I54V, and V82A. On average, 1.7 (95% confidence interval 1.5-2.0) PI mutations developed per year; increasing after the first mutation; decreasing with subsequent mutations (P < .0001). VL changes were modest, mainly driven by nonadherence (P = .006) and PI mutation development (P = .0002); I47A was associated with a larger increase in VL than other mutations (P = .05).

CONCLUSIONS

Most patients develop intermediate/high-level lopinavir resistance within 1 year of ongoing viral replication on monotherapy but retain susceptibility to darunavir. Viral load increased slowly after failure, driven by non-adherence and PI mutation development.

CLINICAL TRIALS REGISTRATION

NCT00988039.

Transmitted human immunodeficiency virus-1 drug resistance in a cohort of men who have sex with men in Belo Horizonte, Brazil--1996-2012

The presence of transmitted human immunodeficiency virus (HIV)-1 drug-resistance (TDR) at the time of antiretroviral therapy initiation is associated with failure to achieve viral load (VL) suppression. Here, we report TDR surveillance in a specific population of men who have sex with men (MSM) in Belo Horizonte, Brazil. In this study, the rate of TDR was evaluated in 64 HIV-infected individuals from a cohort of MSM between 1996-June 2012. Fifty-four percent had a documented recent HIV infection, with a seroconversion time of less than 12 months. The median CD4+T lymphocyte count and VL were 531 cells/mm3 and 17,746 copies/mL, respectively. Considering the surveillance drug resistance mutation criteria, nine (14.1%) patients presented TDR, of which three (4.7%), five (7.8%) and four (6.2%) had protease inhibitors, resistant against nucleos(t)ide transcriptase inhibitors and against non-nucleoside reverse-transcriptase inhibitors mutations, respectively. Two of the patients had multi-drug-resistant HIV-1. The most prevalent viral subtype was B (44, 68.8%), followed by subtype F (11, 17.2%). This study shows that TDR may vary according to the population studied and it may be higher in clusters of MSM.

Modeling clinical endpoints as a function of time of switch to second-line ART with incomplete data on switching times

Modeling clinical endpoints as a function of change in antiretroviral therapy (ART) attempts to answer one simple but very challenging question: was the change in ART beneficial or not? We conceive a similar scientific question of interest in the current manuscript except that we are interested in modeling the time of ART regimen change rather than a comparison of two or more ART regimens. The answer to this scientific riddle is unknown and has been difficult to address clinically. Naturally, ART regimen change is left to a participant and his or her provider and so the date of change depends on participant characteristics. There exists a vast literature on how to address potential confounding and those techniques are vital to the success of the method here. A more substantial challenge is devising a systematic modeling strategy to overcome the missing time of regimen change for those participants who do not switch to second-line ART within the study period even after failing the initial ART. In this article, we adopt and apply a statistical method that was originally proposed for modeling infusion trial data, where infusion length may be informatively censored, and argue that the same strategy may be employed here. Our application of this method to therapeutic HIV/AIDS studies is new and interesting. Using data from the AIDS Clinical Trials Group (ACTG) Study A5095, we model immunological endpoints as a polynomial function of a participant's switching time to second-line ART for 182 participants who already failed the initial ART. In our analysis, we find that participants who switch early have somewhat better sustained suppression of HIV-1 RNA after virological failure than those who switch later. However, we also found that participants who switched very late, possibly censored due to the end of the study, had good HIV-1 RNA suppression, on average. We believe our scientific conclusions contribute to the relevant HIV literature and hope that the basic modeling strategy outlined here would be useful to others contemplating similar analyses with partially missing treatment length data.

Comparative incidence and health care costs of medically attended adverse effects among U.S. Medicaid HIV patients on atazanavir- or darunavir-based antiretroviral therapy

OBJECTIVES

This is the first study to compare the incidence and health care costs of medically attended adverse effects in atazanavir- and darunavir-based antiretroviral therapy (ART) among U.S. Medicaid patients receiving routine HIV care.

METHODS

This was a retrospective study using Medicaid administrative health care claims from 15 states. Subjects were HIV patients aged 18 to 64 years initiating atazanavir- or darunavir-based ART from January 1, 2003, to July 1, 2010, with continuous enrollment for 6 months before (baseline) and 6 months after (evaluation period) ART initiation and 1 or more evaluation period medical claim. Outcomes were incidence and health care costs of the following medically attended (International Classification of Diseases, Ninth Revision, Clinical Modification-coded or treated) adverse effects during the evaluation period: gastrointestinal, lipid abnormalities, diabetes/hyperglycemia, rash, and jaundice. All-cause health care costs were also determined. Patients treated with atazanavir and darunavir were propensity score matched (ratio = 3:1) by using demographic and clinical covariates. Multivariable models adjusted for covariates lacking postmatch statistical balance.

RESULTS

Propensity-matched study sample included 1848 atazanavir- and 616 darunavir-treated patients (mean age 41 years, 50% women, 69% black). Multivariable-adjusted hazard ratios (HRs) (for darunavir, reference = atazanavir) and per-patient-per-month health care cost differences (darunavir minus atazanavir) were as follows: gastrointestinal, HR = 1.25 (P = 0.04), $43 (P = 0.13); lipid abnormalities, HR = 1.38 (P = 0.07), $3 (P = 0.88); diabetes/hyperglycemia, HR = 0.84 (P = 0.55), $13 (P = 0.69); and rash, HR = 1.11 (P = 0.23), $0 (P = 0.76); all-cause health care costs were $1086 (P<0.001). Too few instances of jaundice (11 in atazanavir and 1 in darunavir) occurred to support multivariable modeling.

CONCLUSIONS

Medication tolerability can be critical to the success or failure of ART. Compared with darunavir-treated patients, atazanavir-treated patients had significantly fewer instances of medically attended gastrointestinal issues and more instances of jaundice and incurred significantly lower health care costs.

Influence of episodes of intermittent viremia ("blips") on immune responses and viral load rebound in successfully treated HIV-infected patients

Presenting episodes of intermittent viremia (EIV) under combination antiretroviral therapy (cART) is frequent, but there exists some controversy about their consequences. They have been described as inducing changes in immune responses potentially associated with a better control of HIV infection. Conversely, it has been suggested that EIV increases the risk of virological failure. A retrospective analysis of a prospective, randomized double-blinded placebo-controlled study was performed. Twenty-six successfully treated HIV-infected adults were randomized to receive an immunization schedule or placebo, and after 1 year of follow-up cART was discontinued. The influence of EIV on T cell subsets, HIV-1-specific T cell immune responses, and viral load rebound, and the risk of developing genotypic mutations were evaluated, taking into account the immunization received. Patients with EIV above 200 copies/ml under cART had a lower proportion of CD4(+) and CD4(+)CD45RA(+)RO(-) T cells, a higher proportion of CD8(+) and CD4(+)CD38(+)HLADR(+) T cells, and higher HIV-specific CD8(+) T cell responses compared to persistently undetectable patients. After cART interruption, patients with EIV presented a significantly higher viral rebound (p=0.007), associated with greater increases in HIV-specific lymphoproliferative responses and T cell populations with activation markers. When patients with EIV between 20 and 200 copies/ml were included, most of the differences disappeared. Patients who present EIV above 200 copies/ml showed a lower CD4(+) T cell count and higher activation markers under cART. After treatment interruption, they showed greater specific immune responses against HIV, which did not prevent a higher virological rebound. EIV between 20 and 200 copies/ml did not have this deleterious effect.

Long-lasting protection of activity of nucleoside reverse transcriptase inhibitors and protease inhibitors (PIs) by boosted PI containing regimens

BACKGROUND

The accumulation of mutations after long-lasting exposure to a failing combination antiretroviral therapy (cART) is problematic and severely reduces the options for further successful treatments.

METHODS

We studied patients from the Swiss HIV Cohort Study who failed cART with nucleoside reverse transcriptase inhibitors (NRTIs) and either a ritonavir-boosted PI (PI/r) or a non-nucleoside reverse transcriptase inhibitor (NNRTI). The loss of genotypic activity <3, 3-6, >6 months after virological failure was analyzed with Stanford algorithm. Risk factors associated with early emergence of drug resistance mutations (<6 months after failure) were identified with multivariable logistic regression.

RESULTS

Ninety-nine genotypic resistance tests from PI/r-treated and 129 from NNRTI-treated patients were analyzed. The risk of losing the activity of ≥1 NRTIs was lower among PI/r- compared to NNRTI-treated individuals <3, 3-6, and >6 months after failure: 8.8% vs. 38.2% (p = 0.009), 7.1% vs. 46.9% (p<0.001) and 18.9% vs. 60.9% (p<0.001). The percentages of patients who have lost PI/r activity were 2.9%, 3.6% and 5.4% <3, 3-6, >6 months after failure compared to 41.2%, 49.0% and 63.0% of those who have lost NNRTI activity (all p<0.001). The risk to accumulate an early NRTI mutation was strongly associated with NNRTI-containing cART (adjusted odds ratio: 13.3 (95% CI: 4.1-42.8), p<0.001).

CONCLUSIONS

The loss of activity of PIs and NRTIs was low among patients treated with PI/r, even after long-lasting exposure to a failing cART. Thus, more options remain for second-line therapy. This finding is potentially of high relevance, in particular for settings with poor or lacking virological monitoring.

The rate of accumulation of nonnucleoside reverse transcriptase inhibitor (NNRTI) resistance in patients kept on a virologically failing regimen containing an NNRTI*

BACKGROUND

Virological failure of first-generation nonnucleoside reverse transcriptase inhibitors (NNRTIs) can compromise the efficacy of etravirine as a result of the accumulation of NNRTI resistance mutations. How quickly NNRTI resistance accumulates in patients with a delayed switch from nevirapine or efavirenz despite virological failure, when these drugs are used as a component of combination antiretroviral therapy (cART), remains unclear.

METHODS

The rate of NNRTI resistance accumulation was estimated in patients in EuroSIDA with at least two available genotypic resistance tests (GRTs), provided that (1) the date of the first GRT (t0) was after the date of the first virological failure (VF) of an NNRTI, and (2) patients were receiving an NNRTI and HIV RNA was >500 HIV-1 RNA copies/mL in all measurements between GRTs.

RESULTS

A total of 227 patients were included in the study, contributing 467 GRT pairs. At baseline-t0, a median of 3 months after VF, 66% of patients had at least one NNRTI mutation: 103N (34%), 181C (22%) and 190A (20%) were the most common mutations. Overall, 180 additional NNRTI mutations were found to have accumulated over 295 years [1 new/1.6 years; 95% confidence interval (CI) 1.5-1.8]. The rate of accumulation was faster in the first 6 months from VF (1 new/1.1 years), and slower in patients exposed to nevirapine vs. those receiving efavirenz [relative risk (RR) 0.66; 95% CI 0.46-0.95; P=0.03].

CONCLUSIONS

There is an initial phase of rapid accumulation of NNRTI mutations close to the time of VF followed by a phase of slower accumulation. We predict that it should take approximately one year of exposure to a virologically failing first-generation NNRTI-based cART regimen to reduce etravirine activity from fully susceptible to intermediate resistant, and possibly longer in patients kept on a failing nevirapine-containing regimen.

Efficient monitoring of HIV-1 vertically infected children in Kenya on first-line antiretroviral therapy

BACKGROUND

Worldwide access to antiretroviral therapy (ART) in low- and middle-income countries has significantly increased. Although this presents better treatment options for HIV-infected individuals, the challenge of monitoring ART in these settings still remains.

OBJECTIVE

To investigate efficient and cost-effective criteria for assessing ART failure among HIV-1-infected children on first-line ART in resource-limited settings.

STUDY DESIGN

Retrospective analysis of 75 HIV-1 vertically infected Kenyan children with a follow-up period of 24 months after initiating ART. Plasma viral load, peripheral CD4(+)T-cell counts and HIV-1 drug-resistance mutations were monitored biannually.

RESULTS

Plasma viral load (VL) was suppressed to undetectable level or more than 1.5 log(10) from baseline levels in 53 (70.7%) children within 24 months. VL in the remaining 22 (29.3%) children was not suppressed significantly. Of the 22 children, 21 were infected with HIV-1 strains that developed drug-resistance mutations; 9 within 12 months and 12 between 12 and 24 months. Among the 53 who were successfully treated, VL was suppressed in 33 within 12 months and in 20 between 12 and 24 months. There was no significant difference in VL at baseline and the change of CD4(+)T-cell counts after initiating ART between those treated successfully and the failure groups.

CONCLUSION

After initiating ART, children may require longer times to achieve complete viral suppression. Plasma viral load testing 24 months after initiating ART could be used to differentiate ART failures among HIV-1 vertically infected children in resource-limited settings. Additionally, drug resistance testing, if affordable, would be helpful in identifying those failing therapy and in choosing second-line regimens.

Does HAART efficacy translate to effectiveness? Evidence for a trial effect

BACKGROUND

Patients who participate in clinical trials may experience better clinical outcomes than patients who initiate similar therapy within clinical care (trial effect), but no published studies have evaluated a trial effect in HIV clinical trials.

METHODS

To examine a trial effect we compared virologic suppression (VS) among patients who initiated HAART in a clinical trial versus in routine clinical care. VS was defined as a plasma HIV RNA ≤ 400 copies/ml at six months after HAART initiation and was assessed within strata of early (1996-99) or current (2000-06) HAART periods. Risk ratios (RR) were estimated using binomial models.

RESULTS

Of 738 persons initiating HAART, 30.6% were women, 61.7% were black, 30% initiated therapy in a clinical trial and 67% (n =  496) had an evaluable six month HIV RNA result. HAART regimens differed between the early and current periods (p < 0.001); unboosted PI regimens (55.6%) were more common in the early and NNRTI regimens (46.4%) were more common in the current period. Overall, 78% (95%CI 74, 82%) of patients achieved VS and trial participants were 16% more likely to achieve VS (unadjusted RR 1.16, 95%CI 1.06, 1.27). Comparing trial to non-trial participants, VS differed by study period. In the early period, trial participants initiating HAART were significantly more likely to achieve VS than non-trial participants (adjusted RR 1.33; 95%CI 1.15, 1.54), but not in the current period (adjusted RR 0.98; 95%CI 0.87, 1.11).

CONCLUSIONS

A clear clinical trial effect on suppression of HIV replication was observed in the early HAART period but not in the current period.

Genotypic impact of prolonged detectable HIV type 1 RNA viral load after HAART failure in a CRF01_AE-infected cohort

HIV subtype-specific data on mutation type, rate, and accumulation following HAART treatment failure are limited. We studied patterns and accrual of drug resistance mutations in a Cambodian CRF01_AE-infected cohort continuing a virologically failing first-line, nonnucleoside reverse transcriptase inhibitor- (NNRTI-) based, HAART. Between 2005 and 2007, 837 adult HIV-infected patients had regular plasma HIV-1 RNA viral load measurements at Sihanouk Hospital Centre of Hope (SHCH), Cambodia. Drug resistance testing was performed in all patients with HIV-1 RNA >1000 copies/ml after at least 6 months of HAART. Seventy-one patients with a mean age of 34 years, of whom 68% were male, were retrospectively assessed at virological failure. The median duration of antiretroviral therapy was 12.3 (IQR 7.1-18.23) months, the median CD4 cell count was 173 (IQR 118-256) cells/mm(3), and the mean plasma HIV-1 RNA viral load was 3.9 log (SD 0.72) at failure. NNRTI mutations, M184I/V mutation, thymidine analogue mutations, and K65R were observed in 78.9%, 69%, 20%, and 12.7% of patients, respectively. For 33 patients, genotypic testing was carried out on at least two occasions before the switch to second-line HAART after a median duration of 5.8 (IQR 4.3-6.1) months of virological failure: 54.5% of patients accumulated new mutations with a rate of 1.6 mutations per person-year. Accumulation was seen both for nucleoside and nonnucleoside reverse transcriptase inhibitors, and also in patients with low-level viremia. Subtype-specific data on mutation type, rate, and accumulation after HAART failure are urgently needed to optimize treatment strategies in resource-limited settings.

Effect of Treatment Interruption and Intensification of Antiretroviral Therapy on Health-Related Quality of Life in Patients with Advanced HIV

Background. The effect of antiretroviral therapy (ART) interruption or intensification on health-related quality of life (HRQoL) in advanced HIV patients is unknown. Objective. To assess the impact of temporary treatment interruption and intensification of ART on HRQoL. Design. A 2 x 2 factorial open label randomized controlled trial. Setting. Hospitals in the United States, Canada, and the United Kingdom. Patients. Multidrug resistant (MDR) HIV patients. Intervention. Patients were randomized to receive a 12-wk interruption or not, and ART intensification or standard ART. Measurements. The Health Utilities Index (HUI3), EQ-5D, standard gamble (SG), time tradeoff (TTO), visual analog scale (VAS), and the Medical Outcomes Study HIV Health Survey (MOS-HIV). Results. There were no significant differences in HRQoL among the four groups during follow-up; however, there was a temporary significant decline in HRQoL on some measures within the interruption group during interruption (HUI3 −0.05, P = 0.03; VAS −5.9, P = 0.002; physical health summary −2.9, P = 0.001; mental health summary −1.9, P = 0.02). Scores declined slightly overall during follow-up. Multivariate analysis showed significantly lower HRQoL associated with some clinical events. Limitations. The results may not apply to HIV patients who have not experienced multiple treatment failures or who have not developed MDR HIV. Conclusions. Temporary ART interruption and ART intensification provided neither superior nor inferior HRQoL compared with no interruption and standard ART. Among surviving patients, HRQoL scores declined only slightly over years of follow-up in this advanced HIV cohort; however, approximately one-third of patients died during the trial follow up. Lower HRQoL was associated with adverse clinical events.

Recruitment of HIV/AIDS treatment-naïve patients to clinical trials in the highly active antiretroviral therapy era: influence of gender, sexual orientation and race

BACKGROUND

In the USA, women, racial/ethnic minorities and persons who acquire HIV infection through heterosexual intercourse represent an increasing proportion of HIV-infected persons, and yet are frequently underrepresented in clinical trials. We assessed the demographic predictors of trial participation in antiretroviral-naïve patients.

METHODS

Patients were characterized as trial participants if highly active antiretroviral therapy (HAART) was initiated within a clinical trial. Prevalence ratios (PRs) were obtained using binomial regression.

RESULTS

Between 1996 and 2006, 30% of 738 treatment-naïve patients initiated HAART in a clinical trial. Trial participation rates for men who have sex with men (MSM), heterosexual men, and women were respectively 36.5, 29.6 and 24.3%. After adjustment for other factors, heterosexual men appeared less likely to participate in trials compared with MSM [PR 0.79, 95% confidence interval (CI) 0.57, 1.11], while women were as likely to participate as MSM (PR 0.97, 95% CI 0.68, 1.39). The participation rate in Black patients (25.9%) was lower compared with non-Black patients (37.5%) (adjusted PR 0.80, 95% CI 0.60, 1.06).

CONCLUSIONS

In our clinical setting, gender did not appear to impact participation in HIV treatment trials, but Black patients were slightly less likely to participate in these trials. Considering the substantial proportion of HIV-infected patients who are Black, future trials need to consider strategies to incorporate such underrepresented populations.

Genetic diversity of simian immunodeficiency virus encoding HIV-1 reverse transcriptase persists in macaques despite antiretroviral therapy

The impact of antiretroviral therapy (ART) on the genetics of simian immunodeficiency virus (SIV) or human immunodeficiency virus (HIV) populations has been incompletely characterized. We analyzed SIV genetic variation before, during, and after ART in a macaque model. Six pigtail macaques were infected with an SIV/HIV chimeric virus, RT-SHIV(mne), in which SIV reverse transcriptase (RT) was replaced by HIV-1 RT. Three animals received a short course of efavirenz (EFV) monotherapy before combination ART was started. All macaques received 20 weeks of tenofovir, emtricitabine, and EFV. Plasma virus populations were analyzed by single-genome sequencing. Population diversity was measured by average pairwise difference, and changes in viral genetics were assessed by phylogenetic and panmixia analyses. After 20 weeks of ART, viral diversity was not different from pretherapy viral diversity despite more than 10,000-fold declines in viremia, indicating that, within this range, there is no relationship between diversity and plasma viremia. In two animals with consistent SIV RNA suppression to <15 copies/ml during ART, there was no evidence of viral evolution. In contrast, in the four macaques with viremias >15 copies/ml during therapy, there was divergence between pre- and during-ART virus populations. Drug resistance mutations emerged in two of these four animals, resulting in virologic failure in the animal with the highest level of pretherapy viremia. Taken together, these findings indicate that viral diversity does not decrease with suppressive ART, that ongoing replication occurs with viremias >15 copies/ml, and that in this macaque model of ART drug resistance likely emerges as a result of incomplete suppression and preexisting drug resistance mutations.

Novel antiretroviral combinations in treatment-experienced patients with HIV infection: rationale and results

Novel antiretroviral drugs offer different degrees of improvement in activity against drug-resistant HIV, short- and long-term tolerability, and dosing convenience compared with earlier drugs. Those drugs approved more recently and commonly used in treatment-experienced patients include the entry inhibitor enfuvirtide, protease inhibitors (PIs) [darunavir and tipranavir], a C-C chemokine receptor (CCR) type 5 antagonist (maraviroc), an integrase inhibitor (raltegravir) and etravirine, a non-nucleoside reverse transcriptase inhibitor (NNRTI). Novel agents in earlier stages of development include a CCR5 monoclonal antibody (PRO 140) administered subcutaneously once weekly, once-daily integrase inhibitors (elvitegravir and S/GSK1349572), and several nucleoside (nucleotide) reverse transcriptase inhibitors and NNRTIs. Bevirimat, a maturation inhibitor, has compromised activity in the presence of relatively common Gag polymorphisms. Viral suppression is necessary to control the evolution of drug resistance, reduce chronic immune activation that probably underlies the excess morbidity and mortality in HIV-infected patients, and reduce viral transmission, including transmitted drug resistance. In general, the proportion of viraemic patients who achieve suppression increases with the number of active pharmacokinetically compatible antiretroviral drugs in the regimen. In the ANRS139-TRIO trial, 86% of highly treatment-experienced patients treated with darunavir-ritonavir, etravirine and raltegravir had HIV RNA <50 copies/mL at 48 weeks. In patients who had received at least 12 weeks of a stable regimen and had no darunavir resistance-associated mutations, once-daily darunavir boosted with ritonavir 100 mg was virologically noninferior with better lipid effects than with the twice-daily dosing, which requires a 200 mg total daily dose of ritonavir. Raltegravir plus a boosted PI is being investigated for second-line therapy in patients not responding to NNRTI-based first-line treatment in resource-limited settings (RLS). However, concerns about this potential strategy include the low barrier against resistance of raltegravir, limited penetration of some PIs into the CNS and the unknown impact of integrase polymorphisms seen more commonly in non-B subtype HIV-1. In patients who have already achieved viral suppression, novel agents may be used to simplify the dosing schedule, lower costs (such as by switching to boosted PI monotherapy), reduce adverse events or preserve antiretroviral drug options, especially since the absence of an HIV eradication strategy implies the need for life-long combination antiretroviral therapy. Switching enfuvirtide to raltegravir eliminated painful injection-site reactions without compromising virological suppression. Two studies found different virological outcomes when patients were switched from lopinavir/ritonavir to raltegravir, but there was an improvement in the lipid profile. Simplifying to darunavir-ritonavir monotherapy after suppression of plasma HIV RNA to <50 copies/mL has been found to be safe with no emergence of resistance in cases of viral rebound, but longer-term data are needed. The initial suggestion that maraviroc may possess unique CD4+ T-cell boosting effects was not confirmed in several clinical trials. Improved understanding of HIV pathogenesis has opened new frontiers for research such as identifying the sources, consequences and optimal management of residual viraemia in those with plasma HIV RNA <50 copies/mL. Globally, however, one of the most urgent priorities is providing the increasing number of treatment-experienced virologically failing patients in RLS with access to optimal treatment, including those treatments based on novel antiretroviral agents.

[Rate of genotypic mutations and resistance to antiretroviral drugs in a general hospital]

OBJECTIVES

The objective is to describe the resistance mutation rate in protease and reverse transcriptase genes and sensitivity to different antiretrovirals in our environment.

METHODS

We performed an observational descriptive study in which we examined the samples provided at the clinical immunology laboratory between April 2004 and April 2009. We analysed both the resistance tests and the sensitivity to different drugs in patients with therapeutic failure using trugene hiv01 genotyping kits(®).

RESULTS

We registered samples from 242 patients, 61 of which had no detectable resistance. The most prevalent mutations according to drug families were: for nucleoside analog reverse transcriptase inhibitors T215A/C/D/F/L/N/S/Y (24.10%), M184G/I/V/W (14.66%), M41J/L/R/T/W (11.24%) and K219E/G/H/N/R/T/W (10.24%). The highest levels of resistance corresponded to stavudine and lamivudine/emtricitabine, and tenofovir produced the least resistance in our environment. The non-analogues were K103N/R (23.98%), V179D/E/I/M/T (10.82%), A98E/G/S (10.53%) y K101E/P/Q/R (9.06%). Nevirapine presented greater resistance than efavirenz. Protease inhibitors were L10F/I/V (15.95%), M36I/L (13.81%), A71I/T/V (13.10%) and 154L/S/V (7.38%). The combination darunavir/ritonavir combination was that which presented the least resistance, and tipranavir/ritonavir and lopinavir/ritonavir the most resistance.

CONCLUSIONS

Antiretroviral resistance and sensitivity to retroviral treatment in our environment was similar to results from other studies in Spain, but differed in the high level of resistance to lamivudine/emtricitabine and lopinavir/ritonavir.

Evolution and recombination of genes encoding HIV-1 drug resistance and tropism during antiretroviral therapy

Characterization of residual plasma virus during antiretroviral therapy (ART) is a high priority to improve understanding of HIV-1 pathogenesis and therapy. To understand the evolution of HIV-1 pol and env genes in viremic patients under selective pressure of ART, we performed longitudinal analyses of plasma-derived pol and env sequences from single HIV-1 genomes. We tested the hypotheses that drug resistance in pol was unrelated to changes in coreceptor usage (tropism), and that recombination played a role in evolution of viral strains. Recombinants were identified by using Bayesian and other computational methods. High-level genotypic resistance was seen in approximately 70% of X4 and R5 strains during ART. There was no significant association between resistance and tropism. Each patient displayed at least one recombinant encompassing env and representing a change in predicted tropism. These data suggest that, in addition to mutation, recombination can play a significant role in shaping HIV-1 evolution.

Defining treatment failure in resource-rich settings

PURPOSE OF REVIEW

To define treatment failure in resource-rich settings; summarizing current guidelines, assays, the significance of detectable viremia, and definitions of treatment failure in clinical and research settings.

RECENT FINDINGS

The goal of treatment should be full viral suppression, even in highly treatment-experienced patients.

SUMMARY

Treatment failure is defined as repeated HIV RNA values above the lower limit of detection of a sensitive assay (usually 50 copies/ml). This criterion is based on evidence that the maximum clinical benefit of antiretroviral therapy is derived by keeping the viral load as low as possible. Full viral suppression should be achievable in all patients, both treatment-naïve and experienced. Transient, low-detectable viremia ('blips') may not predict virologic breakthrough. However, consecutive or higher-level transient viremia is associated with risk of treatment failure. Defining failure by a confirmed HIV RNA more than 50 copies/ml is the most conservative approach, but the use of such low limits of detection in clinical trials may lead to a high false-positive 'failure' rate, thus a definition of 200 copies/ml may be preferable. Variation in clinical trial endpoint definitions creates a challenge for comparing results between studies. For example, using a composite endpoint to define treatment failure may result in a high proportion of 'failures' that are not related to poor virologic response.

Short communication: high polymorphism rates in the HR1 and HR2 gp41 and presence of primary resistance-related mutations in HIV type 1 circulating in Brazil: possible impact on enfuvirtide efficacy

We analyzed the gp41 sequences of 80 HIV-infected enfuvirtide-naive individuals who were eligible to receive this antiretroviral according to Brazilian guidelines. We analyzed the genetic diversity of pol and the heptad repeat 1 and 2 (HR1 and HR2) regions of gp41, and compared the genetic profile of HR1 and HR2 found in PBMCs with the profile found in plasma. The similarity between sequences obtained from DNA and RNA in the HR1 and HR2 regions was, on average, 98.6% and 98.9%, respectively. We detected mutations related to enfuvirtide resistance (L44M or N43K) in HR1 DNA samples from three individuals (3.8%) and RNA samples from three individuals (4.6%). Other polymorphisms frequently detected were E137K (10% and 13.8%), L130I (8.8% and 9.2%), S129N (6.3% and 10.8%), L44M (2.5% and 4.6%), S138A (2.5% and 1.5%), and N43K (1.3% and 0%) in DNA and RNA, respectively. Subtype B was identified in 68.8% of the samples [protease (PR) B, reverse transcriptase (RT) B, gp41 B], subtype F in 5.0%, subtype C in 1.3%, and the remaining sequences presented with a mosaic profile. These results suggest that genotyping the gp41 region prior to introducing an expensive and complex approach, such as enfuvirtide, may be cost effective. Moreover, assessment of proviral DNA may be less expensive than RNA, as well as being sufficient for this purpose.

HIV type 1 antiretroviral resistance mutations in subtypes B, C, and F in the City of São Paulo, Brazil

In Brazil, where three distinct HIV-1 subtypes (B, F, and C) cocirculate, a significant portion of the HIV-infected population has been exposed to antiretroviral drugs. This study analyzes the antiretroviral resistance profiles of HIV-1-infected individuals failing antiretroviral therapy. Genotypic resistance profiles of 2474 patients presenting virologic failure to antiretroviral therapy in the city of São Paulo, Brazil, were generated and analyzed. Resistance mutations to protease inhibitors and nucleoside reverse transcriptase inhibitors were less common in subtype C viruses, whereas nonnucleoside reverse transcriptase inhibitor resistance mutations were less common in subtype F viruses. The thymidine analog mutation pathway known as pathway 1 was more prevalent in subtype B viruses than in subtype C viruses, whereas pathway 2 was more prevalent in subtype C viruses. Selected resistance mutations varied according to subtype for all three classes of antiretrovirals. We describe two distinct pathways of nonnucleoside reverse transcriptase inhibitor resistance (to nevirapine and efavirenz). Although cross-resistance to etravirine should occur more frequently among individuals failing nevirapine treatment, the prevalence of cross-resistance to etravirine, darunavir, and tipranavir was found to be low. We found that increases in the number of resistance mutations will be related to increases in the viral load. Special attention should be given to resistance profiles in non-B subtype viruses. The accumulation of knowledge regarding such profiles in the developing world is desirable.

HIV-1 viral load and phenotypic antiretroviral drug resistance assays based on reverse transcriptase activity in comparison to amplification based HIV-1 RNA and genotypic assays

BACKGROUND

Amplification based HIV-1 viral load and genotypic resistance assays are expensive, technologically complex and may be difficult to implement in resource limited settings. Inexpensive, simpler assays are urgently needed.

OBJECTIVES

To determine the suitability of the ExaVir Load and ExaVir Drug assays for use in patient monitoring.

STUDY DESIGN

Specimens from 108 adults were used to compare ExaVir Load HIV-1 RT to Amplicor HIV-1 Monitor HIV-1 RNA, and ExaVir Drug phenotype to HIV GenoSure genotype.

RESULTS

HIV-1 RT and HIV-1 RNA levels were comparable (Pearson correlation coefficient 0.83). Most (94%) had detectable results in both assays. The mean difference (HIV-1 RT minus HIV-1 RNA) was -0.21 log(10)cps/mLequiv. Relationship between HIV-1 RT and HIV-1 RNA was not affected by RT mutations, CD4 cell count, or efavirenz (EFV) or nevirapine (NVP) use. Phenotypes were generally consistent with genotype findings for EFV, but not for NVP. Most patients (93.9%) with phenotypic EFV resistance had at least one EFV mutation, while 78.0% of patients with phenotypic NVP resistance had at least one NVP mutation. Eleven of 49 samples tested for EFV susceptibility were found resistant (n=2) or with reduced susceptibility (n=9) despite the absence of genotypic resistance. Eleven of 45 samples tested for NVP susceptibility were found resistant (n=9) or with reduced susceptibility (n=2) with no evidence of genotypic mutations.

CONCLUSIONS

The ExaVir Load assay performed well and may be an alternative to amplification based techniques for HIV-1 RNA quantification. The ExaVir Drug assay for phenotypic resistance testing requires further evaluation, especially for NVP.

An algorithm to optimize viral load testing in HIV-positive patients with suspected first-line antiretroviral therapy failure in Cambodia

OBJECTIVE

To develop an algorithm for optimal use of viral load testing in patients with suspected first-line antiretroviral treatment (ART) failure.

METHODS

Data from a cohort of patients on first-line ART in Cambodia were analyzed in a cross-sectional way to detect markers for treatment failure. Markers with an adjusted likelihood ratio <0.67 or >1.5 were retained to calculate a predictor score. The accuracy of a 2-step algorithm based on this score followed by targeted viral load testing was compared with World Health Organization criteria for suspected treatment failure.

RESULTS

One thousand eight hundred three viral load measurements of 764 patients were available for analysis. Prior ART exposure, CD4 count below baseline, 25% and 50% drop from peak CD4 count, hemoglobin drop of > or =1 g/dL, CD4 count <100 cells per microliter after 12 months of treatment, new onset of papular pruritic eruption, and visual analog scale <95% were included in the predictor score. A score >or=2 had the best combination of sensitivity and specificity and required confirmatory viral load testing for only 9% of patients. World Health Organization criteria had a similar sensitivity but a lower specificity and required viral load testing for 24.9% of patients.

CONCLUSION

An algorithm combining a predictor score with targeted viral load testing in patients with an intermediate probability of failure optimizes the use of scarce resources.

Immunological responses during a virologically failing antiretroviral regimen are associated with in vivo synonymous mutation rates of HIV type-1 env

Background

Little is known about the underlying causes of differences in immunological response to antiretroviral therapy during multidrug-resistant (MDR) HIV type-1 (HIV-1) infection. This study aimed to identify virological factors associated with immunological response during therapy failure.

Methods

Individuals with MDR HIV-1 receiving therapy for ≥3 months were included. CD4+ T-cell count slopes and pol and clonal env sequences were determined. Genetic analyses were performed using distance-based and maximum likelihood methods. Synonymous mutations rates of env were used to estimate viral replication.

Results

Of 1,000 patients treated between 1995 and 2003, 72 individuals fulfilled the definition for triple-class failure, but 25 were non-compliant, 21 were successfully resuppressed and 3 had died or quit therapy. Of the 23 that fulfilled study criteria, 16 had samples available for analysis. In a longitudinal mixed-effects model, plasma HIV-1 RNA only tended to predict immunological response ( P=0.06), whereas minor protease inhibitor (PI) and nucleoside reverse transcriptase (NRTI) mutations at baseline correlated significantly with CD4+ T-cell count slopes ( r=-0.56, P=0.04 and r=-0.64, P=0.008, respectively). Interestingly, synonymous mutations of env correlated inversely with CD4+ T-cell count slopes ( r=-0.60; P=0.01) and individuals with codons under positive selection had significantly better CD4+ T-cell responses than individuals without (0.42 versus -5.34; P=0.02).

Conclusions

Our results suggest that minor PI mutations and NRTI mutations present early during therapy failure are predictive of the CD4+ T-cell count slopes. Synonymous mutation rates of the env gene suggested that underlying differences in fitness could cause this association.

Development and evaluation of a clinical algorithm to monitor patients on antiretrovirals in resource-limited settings using adherence, clinical and CD4 cell count criteria

Background

Routine viral load monitoring of patients on antiretroviral therapy (ART) is not affordable in most resource-limited settings.

Methods

A cross-sectional study of 496 Ugandans established on ART was performed at the Infectious Diseases Institute, Kampala, Uganda. Adherence, clinical and laboratory parameters were assessed for their relationship with viral failure by multivariate logistic regression. A clinical algorithm using targeted viral load testing was constructed to identify patients for second-line ART. This algorithm was compared with the World Health Organization (WHO) guidelines, which use clinical and immunological criteria to identify failure in the absence of viral load testing.

Results

Forty-nine (10%) had a viral load of >400 copies/mL and 39 (8%) had a viral load of >1000 copies/mL. An algorithm combining adherence failure (interruption >2 days) and CD4 failure (30% fall from peak) had a sensitivity of 67% for a viral load of >1000 copies/mL, a specificity of 82%, and identified 22% of patients for viral load testing. Sensitivity of the WHO-based algorithm was 31%, specificity was 87%, and would result in 14% of those with viral suppression (<400 copies/mL) being switched inappropriately to second-line ART.

Conclusion

Algorithms using adherence, clinical and CD4 criteria may better allocate viral load testing, reduce the number of patients continued on failing ART, and limit the development of resistance.

Virological suppression reduces clinical progression in patients with multiclass-resistant HIV type 1

The virological and immunological outcomes in patients carrying multiclass-resistant HIV-1, their predictors, and their impact on disease progression were investigated. Antiretroviral-experienced patients carrying at least one primary resistance mutation (IAS-USA 2006) to two to three classes of antiretroviral drugs were analyzed for achieving an HIV-1 RNA <50 copies/ml, a CD4 count increase of >200 cells/microl from baseline, and progression to an AIDS-defining event or death. Survival analysis was performed using the Kaplan-Meier estimates and predictors of different outcomes were analyzed using Cox's regression models. A total of 236 patients were identified. Of these 73% reached HIV-1 RNA <50 copies/ml. Higher genotypic sensitivity score of the salvage regimen, lower viral load, and more recent calendar year at genotyping were independently associated with virological response. Immunological response (58%) was predicted by a more recent calendar year, the achievement of an undetectable viral load, and higher CD4 counts at genotyping. Thirty-three patients showed clinical progression: achieving HIV-1 RNA <50 copies/ml predicted AIDS-free survival, independently from other significant cofactors. In individuals with multiclass-resistant HIV-1, virological suppression and immunological recovery are becoming more easily accessible with more recent therapies. The achievement of virological suppression is a strong predictor of reduced clinical progression.

[Genotypic resistance in HIV-1-infected patients with persistent low-level viremia]

INTRODUCTION

Highly active antiretroviral therapy (HAART) in HIV patients is considered successful when plasma viral load (VL) reaches < 50 copies/ml. However, many patients have a persistent VL of 50 to 1000 copies/ml, and treatment guidelines do not recommend genotypic resistance testing at these levels because of poor performance. The aim of this study was to evaluate the usefulness of a concentration technique for HIV-1 sequencing in samples with < 1000 copies/ml, and determine the virological consequences of HAART treatment changes guided by resistance testing in this scenario.

METHODS

Observational study performed in 51 patients with plasma VL between 50 and 1000 copies/m; 27 patients had these levels for at least 12 consecutive months. Prior to RNA extraction, virions were concentrated from 3-ml plasma samples and then genotyped following standard procedures.

RESULTS

Forty-seven of the 51 samples were successfully sequenced, resulting in a sensitivity of 92%. Among these 47 patients, 27 showed a persistent viral load of 50-1000 copies/ml for 12 months, and 20 patients achieved undetectable viral load following the genotype-guided HAART change (intention-to-treat analysis: NC = F; 20 of 27 [74.1%]; on-treatment analysis: 20 of 23 [86.9%]).

CONCLUSIONS

We report a simple method for genotype sequencing in patients with persistent low-level viremia that allowed a modification of the HAART regimen leading to undetectable plasma viremia.

Detection of nonnucleoside reverse-transcriptase inhibitor-resistant HIV-1 after discontinuation of virologically suppressive antiretroviral therapy

Using standard and ultrasensitive techniques, we detected nonnucleoside reverse-transcriptase inhibitor-associated resistance mutations in 11 (20%) of 54 subjects who discontinued virologically suppressive nonnucleoside reverse-transcriptase inhibitor-containing antiretroviral therapy. Resistance was detected in 45% and 14% of subjects with a baseline human immunodeficiency virus type 1 RNA level of 51-400 copies/mL and <or=50 copies/mL, respectively. Mutations remained detectable for at least 48 weeks in some subjects.

Managing antiretroviral therapy: changing regimens, resistance testing, and the risks from structured treatment interruptions

The management of patients receiving therapy for human immunodeficiency virus infection has improved in recent years owing to factors such as new classes of antiretroviral drugs, new agents in existing classes, and reduced resistance rates when chronically infected patients begin treatment with preferred regimens. Transmitted resistance variants in approximately 10% of treatment-naive patients underline the need for pretreatment resistance testing, to improve rates of virologic efficacy. Structured treatment interruptions to reduce drug exposure and toxicity should not be used outside well-controlled research studies, since this practice has been associated with increased rates of death and disease progression.

Potential for new antiretrovirals to address unmet needs in the management of HIV-1 infection

Despite the myriad advances in antiretroviral therapy since the original highly active antiretroviral therapy regimens were developed, there remain numerous important and pressing unmet needs that, if addressed, would substantially improve the quality of life and longevity of HIV-infected patients. The most achievable goals of antiretroviral (ARV) therapy in the near future are likely to be continued reduction in HIV-related morbidity and mortality; improved quality of life; and restoration and preservation of immune function: all of which are most effectively achieved through sustained suppression of HIV-1 RNA. The ability to achieve long-term viral load reduction will require new ARVs with few, manageable toxicities, and medications that are convenient to adhere to, with few drug interactions. This is particularly true for the large number of highly treatment-experienced patients in whom HIV has developed resistance to one or more ARVs. Development of therapies that allow convenient dosing schedules, that do not necessitate strict adherence to meal-related timing restrictions, and that remain active in the face of resistance mutations is paramount, and remains a significant unmet need. Of the large number of ARVs currently in development, this article focuses on three agents recently approved that have shown particular promise in addressing some of these unmet needs: the novel non-nucleoside reverse transcriptase inhibitor etravirine; the CCR5 antagonist maraviroc; and the integrase inhibitor raltegravir.

Plasma HIV RNA decline and emergence of drug resistance mutations among patients with multiple virologic failures receiving resistance testing-guided HAART

Early recognition of virologic failure in patients with extensive drug resistance receiving salvage-HAART is essential to avoid exposure to subinhibitory regimens. We studied plasma viral load (PVL) decline and rates of drug-resistance mutation (DRM) accumulation in such patients. A prospective, 48 week study of 38 heavily pretreated patients receiving genotypic resistance testing (GRT)-guided HAART was conducted. The rate of PVL decline was studied by weekly PVL determinations. To assess DRM accumulation, serial GRTs were performed in all nonresponders (never reaching PVL <50 or two PVLs >50 copies/ml after suppression). Over 48 weeks, 10 patients (26%) were nonresponders. Receiving less then two fully active drugs and having an elevated number of PI and NRTI mutations at baseline were strongly associated with virologic failure. There was no evidence of a difference in the change from baseline PVL to week 1 and 2 between responders and nonresponders. By contrast, PVL reductions from week 2 to week 3 and thereafter were significantly greater for responders (p < 0.01). Among nonresponders, the incidence rates per patient-month (95% CI) of emergent DRM were 0.67 (0.13-1.20), 0.40 (0.00-0.74), and 0.37 (0.00-0.75) at weeks 4, 8, and 24, respectively. Having limited baseline resistance, receiving at least two fully active drugs, and showing constant PVL reductions from week 2 to week 3 and thereafter were predictive of virologic response. In contrast, early changes in PVL levels were not. Virologic failure was associated with detection of emergent DRMs. Virologic rebound in patients on salvage-HAART should be addressed aggressively.

Translating concern into action: HIV care providers' views on counseling patients about HIV prevention in the clinical setting

Recent Centers for Disease Control (CDC) guidelines recommend that HIV care practitioners provide HIV prevention counseling to patients at routine medical visits. However, research shows that HIV care practitioners provide such counseling infrequently, presenting a challenge for clinics implementing these guidelines. Our qualitative study of 19 HIV care providers at an infectious diseases clinic in the southeastern US explored providers' beliefs about their patients' HIV transmission behaviors, expected outcomes of conducting HIV prevention counseling, and perceived barriers and facilitators to counseling. Providers' concern about HIV transmission among their patients was high but did not "translate into action" in the form of counseling. They anticipated poor outcomes from counseling, including harm to patient-provider relationships, and failure of patients to change their behavior. They also listed barriers and facilitators to counseling, most importantly time, state reporting policies, and conversational triggers. Implications for implementation of CDC guidelines and clinic-based "Prevention with Positives" programs are discussed.

The long-term benefits of genotypic resistance testing in patients with extensive prior antiretroviral therapy: a model-based approach

OBJECTIVES

Resistance testing in HIV disease may provide long-term benefits that are not evident from short-term data. Our objectives were to estimate the long-term effectiveness, cost and cost-effectiveness of genotype testing in patients with extensive antiretroviral exposure.

METHODS

We used an HIV simulation model to estimate the long-term effectiveness and cost-effectiveness of genotype testing. Clinical data incorporated into the model were from NARVAL, a randomized trial of resistance testing in patients with extensive antiretroviral exposure, and other randomized trials. Each simulated patient was eligible for up to three sequential regimens of antiretroviral therapy (i.e. two additional regimens beyond the trial-based regimen) using drugs not available at the time of the study, such as lopinavir/ritonavir, darunavir/ritonavir and enfuvirtide.

RESULTS

In the long term, projected undiscounted life expectancy increased from 132.2 months with clinical judgement alone to 147.9 months with genotype testing. Median survival was estimated at 11.9 years in the resistance testing arm vs 10.4 years in the clinical judgement alone arm. Because of increased survival, the projected lifetime discounted cost of genotype testing was greater than for clinical judgement alone (euro313,900 vs euro263,100; US$399,000 vs US$334,400). Genotype testing cost euro69,600 (US$88,500) per quality-adjusted life year gained compared with clinical judgement alone.

CONCLUSIONS

In patients with extensive prior antiretroviral exposure, genotype testing is likely to increase life expectancy in the long term as a result of the increased likelihood of receiving two active new drugs. Genotype testing is associated with cost-effectiveness comparable to that of strategies accepted in patients with advanced HIV disease, such as enfuvirtide use.

Antiretroviral therapy : optimal sequencing of therapy to avoid resistance

In the second decade of highly active antiretroviral therapy, drug regimens offer more potent, less toxic and more durable choices. However, strategies addressing convenient sequential use of active antiretroviral combinations are rarely presented in the literature. Studies have seldom directly addressed this issue, despite it being a matter of daily use in clinical practice. This is, in part, because of the complexity of HIV-1 resistance information as well as the complexity of designing these types of studies. Nevertheless, several principles can effectively assist the planning of antiretroviral drug sequencing. The introduction of tenofovir disoproxil fumarate, abacavir and emtricitabine into current nucleoside backbone options, with each of them selecting for an individual pattern of resistance mutations, now permits sequencing in the context of previously popular thymidine analogues (zidovudine and stavudine). Similarly, newer ritonavir-boosted protease inhibitors could potentially be sequenced in a manner that uses the least cross-resistance prone protease inhibitor at the start of therapy, while leaving the most cross-resistance prone drugs for later, as long as there is rationale to employ such a compound because of its utility against commonly observed drug-resistant forms of HIV-1.

Predictive Factors for Response to a Boosted Dual HIV-Protease Inhibitor Therapy with Saquinavir and Lopinavir in Extensively Pre-Treated Patients

Objective

To evaluate predictive factors for therapy outcome of a boosted double-protease inhibitor (PI) regimen in 58 extensively pre-treated patients with HIV.

Methods

Patients received lopinavir/ritonavir 400/100 mg and saquinavir 1,000 mg twice daily without reverse transcriptase inhibitors (RTI). The primary outcome parameter was HIV RNA <400 copies/ml at week 48, secondary parameters were HIV-1 RNA and CD4+ T-cell count changes from baseline to week 48. Pharmacokinetics, genotypic resistance and clinical and individual parameters were correlated with the clinical outcome in regression analyses. Covariates for the analyses were minimum plasma concentration (Cmin), maximum plasma concentration, area under the concentration versus time curve, half-life and clearance of lopinavir and saquinavir, the genotypic inhibitory quotients (GIQ) of archived (GIQarch) and baseline PI resistance mutations, previously taken antiretrovirals, archived and baseline viral resistance mutations, baseline HIV-1 RNA and CD4+ T-cell count.

Results

The analyses detected correlations between the primary outcome parameter and several factors: baseline CD4+ T-cell count ( P=0.001); absence of mutations at V82T/A/F/I/S plus I54M/V/L ( P=0.002) or K20M/R ( P=0.010); and lopinavir CminGIQarch ( P=0.046). This regression model had a predictability of 97.0% for response to therapy. Covariates for the decrease of HIV-1 RNA from baseline to week 48 were baseline HIV-1 RNA ( P<0.001), lopinavir CminGIQarch ( P=0.013), presence/absence of mutations at V82T/A/F/I/S or I84A/V plus L10I/R/V/F, I54M/V/L or L63P ( P=0.018), and previously taken antiretrovirals ( P=0.034).

Conclusions

Baseline HIV-1 RNA <5.0 log10 and CD4+ T-cell count >200 cells/μl, lopinavir CminGIQarch >2,000 ng/ml and the absence of viral resistance mutations at V82T/A/F/I/S and I54M/V/L are highly predictive for therapeutic success of a regimen of saquinavir/lopinavir/ ritonavir without RTI in a heterogenic cohort of patients with an extensive pre-treatment history and highly variable pharmacokinetics.

Strategies for the optimal sequencing of antiretroviral drugs toward overcoming and preventing drug resistance

Drug regimens now offer more potent, less toxic and more durable choices in the treatment of HIV disease than ever before. This has led to a need to consider the convenient, sequential use of active antiretroviral combinations. Ritonavir-boosted protease inhibitors (PIs) can now be potentially sequenced in a manner that uses the least cross-resistance-prone PI at the start of therapy while leaving the most cross-resistance-prone drug for later, if the latter retains activity against commonly observed drug-resistant forms. Similarly, such new drugs as tenofovir, abacavir and emtricitabine, which make up current nucleoside backbone options, can be potentially sequenced, since each of them selects for an individual pattern of resistance mutations that are generally distinct from those selected by previously popular thymidine analogs such as zidovudine and stavudine.

Effects of age and sex on immunological and virological responses to initial highly active antiretroviral therapy

BACKGROUND

Highly active antiretroviral therapy (HAART) has increased longevity. Currently, women comprise >50% of HIV-infected individuals worldwide. It is not known if there are differences between the sexes in the immunological and virological responses to HAART across the age strata.

METHODS

Immunological reconstitution and virological response in the first 6 months of a first HAART regimen in two observational clinical HIV-infected cohorts were compared by both sex and age (>or=50 vs. <50 years old).

RESULTS

A total of 246 individuals (28% women) were included in the study; 63 cases (>or=50 years old) and 183 controls (<50 years old). Over two-thirds of patients had HIV RNA levels <400 HIV-1 RNA copies/mL and CD4 count increases >or=50 cells/microL at 6 months from therapy initiation. There were no differences in immunological reconstitution across age and sex strata (P=0.81) and no differences in virological suppression, even after adjusting for type of HAART (P=0.68) or restricting the analysis to women only (P=0.81). These results suggest that younger and older women and men may have similar short-term initial HAART outcomes.

CONCLUSIONS

Further evaluation of longer term clinical response to initial HAART regimen based on sex and age is indicated, especially with more efficacious and simplified antiretroviral regimens and the associated decrease in mortality.

Start Talking About Risks: development of a Motivational Interviewing-based safer sex program for people living with HIV

The epidemiology of HIV infection in the US in general, and in the southeast, in particular, has shifted dramatically over the past two decades, increasingly affecting women and minorities. The site for our intervention was an infectious diseases clinic based at a university hospital serving over 1,300 HIV-infected patients in North Carolina. Our patient population is diverse and reflects the trends seen more broadly in the epidemic in the southeast and in North Carolina. Practicing safer sex is a complex behavior with multiple determinants that vary by individual and social context. A comprehensive intervention that is client-centered and can be tailored to each individual's circumstances is more likely to be effective at reducing risky behaviors among clients such as ours than are more confrontational or standardized prevention messages. One potential approach to improving safer sex practices among people living with HIV/AIDS (PLWHA) is Motivational Interviewing (MI), a non-judgmental, client-centered but directive counseling style. Below, we describe: (1) the development of the Start Talking About Risks (STAR) MI-based safer sex counseling program for PLWHA at our clinic site; (2) the intervention itself; and (3) lessons learned from implementing the intervention.

A randomized study of antiviral medication switch at lower- versus higher-switch thresholds: AIDS Clinical Trials Group Study A5115

BACKGROUND

Clinical stability has been observed with continued antiretroviral therapy (ART) in the setting of partial virological suppression. The optimal time to switch treatment in patients with low but detectable HIV-1 RNA is not known.

METHODS

Subjects on stable ART with HIV-1 RNA 200-10,000 copies/ml were randomized to an immediate treatment switch, or to a delayed switch when HIV-1 RNA increased to > or = 10,000 copies/ml or CD4+ T-cell count decreased by 20%. The primary outcome measures were immune activation (proportion of CD8+ T-cells expressing CD38 at week 48) and evolution of genotypic drug resistance.

RESULTS

The study failed to fully accrue the originally planned 108 subjects. Only 47 subjects were randomized to immediate- or delayed-switch arms. Of the subjects in the delayed-switch arm, 10/23 (43%) met the criteria for ART switch during the study (median follow-up 82 weeks). After 48 weeks of observation, the level of immune activation was comparable in the two arms. New resistance mutations were observed in 3/17 and 8/19 subjects in the immediate- and delayed-switch groups, respectively. The loss of future treatment options, however, was comparable in the delayed- and immediate-switch groups.

CONCLUSIONS

Individuals with partial viral suppression tend to remain immunologically stable, however, the accumulation of drug resistance mutations is an ongoing risk. Delayed switch in ART may be a reasonable short-term strategy for individuals with very limited treatment options.

Genotypic Drug Resistance and Long-Term Mortality in Patients with Triple-Class Antiretroviral Drug Failure

Objective

To examine the prevalence of drug-resistance-associated mutations in HIV patients with triple-drug class virological failure (TCF) and their association with long-term mortality.

Design

Population-based study from the Danish HIV Cohort Study (DHCS).

Methods

We included all patients in the DHCS who experienced TCF between January 1995 and November 2004, and we performed genotypic resistance tests for International AIDS Society (IAS)-USA primary mutations on virus from plasma samples taken around the date of TCF. We computed time to all-cause death from date of TCF. The relative risk of death according to the number of mutations and individual mutations was estimated by Cox regression analysis and adjusted for potential confounders.

Results

Resistance tests were done for 133 of the 179 patients who experienced TCF. The median number of resistance mutations was eight (interquartile range 2–10), and 81 (61%) patients had mutations conferring resistance towards all three major drug classes. In a regression model adjusted for CD4+ T-cell count, HIV RNA, year of TCF, age, gender and previous inferior antiretroviral therapy, harbouring ≥9 versus ≤8 mutations was associated with increased mortality (mortality rate ratio [MRR] 2.3 [95% confidence interval (CI) 1.1–4.8]), as were the individual mutations T215Y (MRR 3.4 [95% CI 1.6–7.0]), G190A/S (MRR 3.2 [95% CI 1.6–6.6]) and V82F/A/T/S (MRR 2.5 [95% CI 1.2–5.3]).

Conclusions

In HIV patients with TCF, the total number of genotypic resistance mutations and specific single mutations predicted mortality.

Triple-class antiretroviral drug resistance: risk and predictors among HIV-1-infected patients

BACKGROUND

HIV-1 triple-class antiretroviral drug resistance (TC-DR) may substantially limit therapeutic options and compromise clinical outcomes.

OBJECTIVE

To estimate TC-DR prevalence and incidence, and identify risk factors for TC-DR acquisition.

METHODS

We identified patients in the University of North Carolina HIV Cohort Study with TC-DR HIV-1 variants. Nucleos(t)ide reverse transcriptase inhibitor (NRTI), non-nucleoside reverse transcriptase inhibitor (NNRTI), and major protease inhibitor (PI) mutations, were based on the International AIDS Society - USA guidelines. Prevalence was estimated with the exact binomial distribution, incidence with the exact Poisson distribution, and multivariable analyses were performed using logistic regression.

RESULTS

Of 1587 patients, half initiated therapy with HAART (N = 789), 20% (N = 320) with non-HAART combination therapy, and 30% (N = 478) with one NRTI. The median time on therapy was 5.7 years [interquartile range (IQR) 2.9, 8.6], the median number of previous antiretroviral agents was six (IQR 4, 8), and 47% (N = 752) were exposed to at least one NRTI, NNRTI and PI. Assuming patients without genotypes did not harbor TC-DR virus, the prevalence of TC-DR among all antiretroviral-experienced patients was 8% [95% confidence interval (CI) 6%, 9%]. The prevalence was 3% (95% CI 2%, 4%) and 12% (95% CI 10%, 15%) among patients treated initially with HAART and non-HAART, respectively. The number of antiretroviral agents received and initiating therapy with non-HAART or an unboosted PI, increased TC-DR risk in multivariable analyses.

CONCLUSION

The majority of patients with TC-DR have extensive antiretroviral exposure, particularly to non-HAART regimens, whereas HAART initiators are at low risk of acquiring TC-DR during a median of 4 years of follow-up.

Evolution of drug resistance in HIV-infected patients remaining on a virologically failing combination antiretroviral therapy regimen

OBJECTIVE

To estimate the extent of drug resistance accumulation in patients kept on a virologically failing regimen and its determinants in the clinical setting.

DESIGN

The study focused on 110 patients of EuroSIDA on an unchanged regimen who had two genotypic tests performed at two time points (t0 and t1) when viral load was > 400 copies/ml.

METHODS

Accumulation of resistance between t0 and t1 was measured using genotypic susceptibility scores (GSS) obtained by counting the total number of active drugs (according to the Rega system v6.4.1) among all licensed antiretrovirals as of 1 January 2006. Patients were grouped according to the number of active drugs in the failing regimen at t0 (GSS_f-t0).

RESULTS

At t0, patients had been on the failing combination antiretroviral therapy (cART) for a median of 11 months (range, 6-50 months). Even patients with extensive resistance to the failing regimen were still receiving benefit from treatment. An overall 6-monthly increase of 1.96 (SD, 2.23) International Aids Society-mutations and an average loss of 1.25 (SD, 1.81) active drugs were estimated. In comparison with patients with GSS_f-t0 = 0, the number of active drugs lost was -1.08 [95% confidence interval (CI), -2.13 to -0.03; P = 0.04] in those with GSS_f-t0 of 0.5-1.5 and -1.24 (95% CI, -2.44 to -0.04; P = 0.04) in those with GSS_f-t0 >or= 2.

CONCLUSIONS

In patients kept on the same virologically failing cART regimen for a median of 6 months, there was considerable accumulation of drug resistance mutations, particularly in patients with initial low level of resistance to the failing regimen. Randomized comparisons of maintenance treatment strategies while awaiting a new suppressive therapy to become available are warranted.

Changing antiretroviral therapy in the setting of virologic relapse: review of the current literature

Virologic relapse after initial virologic suppression remains a concern for patients on antiretroviral therapy (ART). Multiple factors may contribute to virologic relapse, including suboptimal adherence, resistance, and pharmacokinetic issues. The major guidelines for HIV care are in agreement that ART regimen change is indicated in relapse because resistance is identified, but the guidelines are not completely clear on the timing of regimen change. When relapse occurs due to resistance, patients may continue with viremia well below their set points, stable or increasing CD4+ counts, and clinical health for several years. However, delaying a switch in the treatment regimen may lead to the accumulation of resistance which compromises future treatment response. In general, a lower switch threshold is recommended for patients during relapse on first or second line regimens.

Approach to the Treatment-Experienced Patient

The management of treatment-experienced patients is complex and challenging. Fortunately, new agents continue to be developed that offer hope to those who have developed resistance to currently available agents. Knowing when, how, and in whom to use new agents is never easy and highlights the importance of expert care for HIV-infected patients. The management of treatment-experienced patients requires considerable expertise, especially now that patients with highly resistant virus can hope to achieve full virologic suppression.