Rate of response to initial antiretroviral therapy according to level of pre-existing HIV-1 drug resistance detected by next-generation sequencing in the strategic timing of antiretroviral treatment (START) study.

OBJECTIVES: The main objective of this analysis was to evaluate the impact of pre-existing drug resistance by next-generation sequencing (NGS) on the risk of treatment failure (TF) of first-line regimens in participants enrolled in the START study. METHODS: Stored plasma from participants with entry HIV RNA >1000 copies/mL were analysed using NGS (llumina MiSeq). Pre-existing drug resistance was defined using the mutations considered by the Stanford HIV Drug Resistance Database (HIVDB v8.6) to calculate the genotypic susceptibility score (GSS, estimating the number of active drugs) for the first-line regimen at the detection threshold windows of >20%, >5%, and >2% of the viral population. Survival analysis was conducted to evaluate the association between the GSS and risk of TF (viral load >200 copies/mL plus treatment change). RESULTS: Baseline NGS data were available for 1380 antiretroviral therapy (ART)-naïve participants enrolled over 2009-2013. First-line ART included a non-nucleoside reverse transcriptase inhibitor (NNRTI) in 976 (71%), a boosted protease inhibitor in 297 (22%), or an integrase strand transfer inhibitor in 107 (8%). The proportions of participants with GSS <3 were 7% for >20%, 10% for >5%, and 17% for the >2% thresholds, respectively. The adjusted hazard ratio of TF associated with a GSS of 0-2.75 versus 3 in the subset of participants with mutations detected at the >2% threshold was 1.66 (95% confidence interval 1.01-2.74; p = 0.05) and 2.32 (95% confidence interval 1.32-4.09; p = 0.003) after restricting the analysis to participants who started an NNRTI-based regimen. CONCLUSIONS: Up to 17% of participants initiated ART with a GSS <3 on the basis of NGS data. Minority variants were predictive of TF, especially for participants starting NNRTI-based regimens.

Fostemsavir: a first-in-class HIV-1 attachment inhibitor.

PURPOSE OF REVIEW: Fostemsavir is a recently Food and Drug Administration-approved HIV-1 attachment inhibitor that binds to HIV-1 gp120 and prevents viral attachment to the cellular CD4 receptor. Here, we review the pharmacology, efficacy, tolerability, and resistance profile of fostemsavir. RECENT FINDINGS: Fostemsavir is well tolerated and maintains virologic activity in individuals harboring multidrug-resistant HIV-1. In conjunction with optimal background therapy, a majority of heavily treatment-experienced clinical trial participants treated with fostemsavir achieved virologic suppression. SUMMARY: The approval of fostemsavir represents an important advance for individuals harboring multidrug resistant HIV-1 due to its novel mechanism of action and lack of cross-resistance to other antiretrovirals. Further study will better define the role of resistance testing for fostemsavir and fostemsavir's potential role outside of salvage therapy in heavily treatment-experienced individuals.

Evaluation of HIV-1 reservoir size and broadly neutralizing antibody susceptibility in acute antiretroviral therapy-treated individuals.

OBJECTIVE: Persistence of the viral reservoir is the main barrier to curing HIV. Initiation of ART during acute HIV infection can limit the size and diversity of the reservoir. In depth characterization of the reservoir in individuals who initiate ART during acute infection will be critical for clinical trial design and cure strategies. METHODS: Four cohorts with participants who initiated ART during acute infection or during chronic infection were enrolled in a cross-sectional, noninterventional study. Viral reservoir was evaluated by the Intact Proviral DNA Assay (IPDA), the Total HIV DNA Assay (THDA) and the Quantitative Viral Outgrowth Assay (QVOA). Viral diversity and susceptibility to V3-glycan bNAbs were determined by genotyping of the viral envelope gene. RESULTS: Participants who initiated ART during the acute Fiebig I-IV stages had lower level of total HIV DNA than participants who initiated ART during chronic infection whereas no difference was observed in intact HIV DNA or outgrowth virus. Participants who initiated ART during Fiebig I-IV also had lower viral diversity and appeared to have higher susceptibility to bNAbs than participants initiating ART during chronic infection. CONCLUSION: Individuals initiating ART during Fiebig I-IV had small viral reservoirs, low viral diversity, and high susceptibility to bNAbs, and would be an optimal target population for proof-of-concept HIV cure trials.

HIV Drug Resistance Mutations (DRMs) Detected by Deep Sequencing in Virologic Failure Subjects on Therapy from Hunan Province, China.

OBJECTIVE: Determine HIV drug resistance mutations (DRMs) prevalence at low and high levels in ART-experienced patients experiencing virologic failure (VF). METHODS: 29 subjects from 18 counties in Hunan Province that experienced VF were evaluated for the prevalence of DRMs (Stanford DRMs with an algorithm value ≥15, include low-, intermediate and high-level resistance) by both Sanger sequencing (SS) and deep sequencing (DS) to 1% frequency levels. RESULTS: DS was performed on samples from 29 ART-experienced subjects; the median viral load 4.95×10(4) c/ml; 82.76% subtype CRF01_AE. 58 DRMs were detected by DS. 18 DRMs were detected by SS. Of the 58 mutations detected by DS, 40 were at levels <20% frequency (26 NNRTI, 12 NRTI and 2 PI) and the majority of these 95.00% (38/40) were not detected by standard genotyping. Of these 40 low-level DRMs, 16 (40%) were detected at frequency levels of 1-4% and 24 (60%) at levels of 5-19%. SS detected 15 of 17 (88.24%) DRMs at levels ≥ 20% that were detected by DS. The only variable associated with the detection of DRMs by DS was ART adherence (missed doses in the prior 7 days); all patients that reported missing a dose in the last 7 days had DRMs detected by DS. CONCLUSIONS: DS of VF samples from treatment experienced subjects infected with primarily AE subtype frequently identified Stanford HIVdb NRTI and NNRTI resistance mutations with an algorithm value 15. Low frequency level resistant variants detected by DS were frequently missed by standard genotyping in VF specimens from antiretroviral-experienced subjects.

Transmission of HIV drug resistance: lessons from sensitive screening assays.

PURPOSE OF REVIEW: The review discusses new technologies for the sensitive detection of HIV drug resistance, with a focus on applications in antiretroviral treatment (ART)-naïve populations. RECENT FINDINGS: Conventional sequencing is well established for detecting HIV drug resistance in routine care and guides optimal treatment selection in patients starting ART. Access to conventional sequencing is nearly universal in Western countries, but remains limited in Asia, Latin America, and Africa. Technological advances now allow detection of resistance with greatly improved sensitivity compared with conventional sequencing, variably increasing the yield of resistance testing in ART-naïve populations. There is strong cumulative evidence from retrospective studies that sensitive detection of resistant mutants in baseline plasma samples lacking resistance by conventional sequencing more than doubles the risk of virological failure after starting efavirenz-based or nevirapine-based ART. SUMMARY: Sensitive resistance testing methods are mainly confined to research applications and in this context have provided great insight into the dynamics of drug resistance development, persistence, and transmission. Adoption in care settings is becoming increasingly possible, although important challenges remain. Platforms for diagnostic use must undergo technical improvements to ensure good performance and ease of use, and clinical validation is required to ensure utility.

Deep sequencing of HIV-1 variants from paired plasma and cerebrospinal fluid during primary HIV infection.

BACKGROUND: Limited data exist comparing viral quasispecies between cerebrospinal fluid (CSF) and plasma compartments during primary HIV infection. Deep sequencing is a new method to examine the HIV plasma and CSF quasispecies. METHODS: In this pilot study, deep sequencing of protease (PR) and reverse transcriptase (RT) was performed in plasma and CSF from participants during primary HIV infection. Estimated mutational load was calculated by mutant variant frequency multiplied by HIV-RNA level. RESULTS: Paired plasma and CSF samples were studied from five antiretroviral therapy-naïve male participants with median 109 days post estimated transmission, age 32 years, CD4 cell count 580 cells/µL, HIV-RNA 5.18 log10 copies/mL in plasma and 3.67 log10 copies/mL in CSF. Plasma samples averaged 7,124 reads of PR and 2,448 reads of RT, whereas CSF samples averaged 7,082 and 2,792 reads, respectively. A distinct drug-resistance pattern with linked mutations present at significant levels (5-10%) was detected in one participant in CSF. Other low abundance variants (>0.2%) were detected in plasma and CSF of four out of five participants. CONCLUSIONS: Deep sequencing of CSF HIV is technically possible with sufficient HIV-RNA levels. Differences between the quasispecies in the two compartments detected in one participant, which were present with a high mutational load in CSF at an estimated 3.6 months after HIV infection, suggest that early CNS compartmentalisation may be revealed by sensitive deep-sequencing methods. The presence of distinct low abundance (<1%) resistance variants in plasma and CSF of three other subjects may be significant, but further investigation is needed.

Low-frequency NNRTI-resistant HIV-1 variants and relationship to mutational load in antiretroviral-naïve subjects.

Low-frequency HIV variants possessing resistance mutations against non­nucleoside reverse transcriptase inhibitors (NNRTI), especially at HIV reverse transcriptase (RT) amino acid (aa) positions K103 and Y181, have been shown to adversely affect treatment response. Therapeutic failure correlates with both the mutant viral variant frequency and the mutational load. We determined the prevalence of NNRTI resistance mutations at several RT aa positions in viruses from 204 antiretroviral (ARV)-naïve HIV-infected individuals using deep sequencing, and examined the relationship between mutant variant frequency and mutational load for those variants. Deep sequencing to ≥0.4% levels found variants with major NNRTI-resistance mutations having a Stanford-HIVdb algorithm value ≥30 for efavirenz and/or nevirapine in 52/204 (25.5%) ARV-naïve HIV-infected persons. Eighteen different major NNRTI mutations were identified at 11 different positions, with the majority of variants being at frequency >1%. The frequency of these variants correlated strongly with the mutational load, but this correlation weakened at low frequencies. Deep sequencing detected additional major NNRTI-resistant viral variants in treatment-naïve HIV-infected individuals. Our study suggests the significance of screening for mutations at all RT aa positions (in addition to K103 and Y181) to estimate the true burden of pre-treatment NNRTI-resistance. An important finding was that variants at low frequency had a wide range of mutational loads (>100-fold) suggesting that frequency alone may underestimate the impact of specific NNRTI-resistant variants. We recommend further evaluation of all low-frequency NNRTI-drug resistant variants with special attention given to the impact of mutational loads of these variants on treatment outcomes.

Prevalence of WHO transmitted drug resistance mutations by deep sequencing in antiretroviral-naïve subjects in Hunan Province, China.

BACKGROUND: There are few data on the prevalence of WHO transmitted drug resistance mutations (TDRs) that could affect treatment responses to first line antiretroviral therapy (ART) in Hunan Province, China. OBJECTIVE: Determine the prevalence of WHO NRTI/NNRTI/PI TDRs in ART-naïve subjects in Hunan Province by deep sequencing. METHODS: ART-naïve subjects diagnosed in Hunan between 2010-2011 were evaluated by deep sequencing for low-frequency HIV variants possessing WHO TDRs to 1% levels. Mutations were scored using the HIVdb.stanford.edu algorithm to infer drug susceptibility. RESULTS: Deep sequencing was performed on samples from 90 ART-naïve subjects; 83.3% were AE subtype. All subjects had advanced disease (average CD4 count 134 cells/mm3). Overall 25.6%(23/90) of subjects had HIV with major WHO NRTI/NNRTI TDRs by deep sequencing at a variant frequency level ≥ 1%; 16.7%(15/90) had NRTI TDR and 12.2%(11/90) had a major NNRTI TDR. The majority of NRTI/NNRTI mutations were identified at variant levels <5%. Mutations were analyzed by HIVdb.stanford.edu and 7.8% of subjects had variants with high-level nevirapine resistance; 4.4% had high-level NRTI resistance. Deep sequencing identified 24(27.6%) subjects with variants possessing either a PI TDR or hivdb.stanford.edu PI mutation (algorithm value ≥ 15). 17(19.5%) had PI TDRs at levels >1%. CONCLUSIONS: ART-naïve subjects from Hunan Province China infected predominantly with subtype AE frequently possessed HIV variants with WHO NRTI/NNRTI TDRs by deep sequencing that would affect the first line ART used in the region. Specific mutations conferring nevirapine high-level resistance were identified in 7.8% of subjects. The majority of TDRs detected were at variant levels <5% likely due to subjects having advanced chronic disease at the time of testing. PI TDRs were identified frequently, but were found in isolation and at low variant frequency. As PI/r use is infrequent in Hunan, the existence of PI mutations likely represent AE subtype natural polymorphism at low variant level frequency.

Deep sequencing of HIV: clinical and research applications.

Human immunodeficiency virus (HIV) exhibits remarkable diversity in its genomic makeup and exists in any given individual as a complex distribution of closely related but nonidentical genomes called a viral quasispecies, which is subject to genetic variation, competition, and selection. This viral diversity clinically manifests as a selection of mutant variants based on viral fitness in treatment-naive individuals and based on drug-selective pressure in those on antiretroviral therapy (ART). The current standard-of-care ART consists of a combination of antiretroviral agents, which ensures maximal viral suppression while preventing the emergence of drug-resistant HIV variants. Unfortunately, transmission of drug-resistant HIV does occur, affecting 5% to >20% of newly infected individuals. To optimize therapy, clinicians rely on viral genotypic information obtained from conventional population sequencing-based assays, which cannot reliably detect viral variants that constitute <20% of the circulating viral quasispecies. These low-frequency variants can be detected by highly sensitive genotyping methods collectively grouped under the moniker of deep sequencing. Low-frequency variants have been correlated to treatment failures and HIV transmission, and detection of these variants is helping to inform strategies for vaccine development. Here, we discuss the molecular virology of HIV, viral heterogeneity, drug-resistance mutations, and the application of deep sequencing technologies in research and the clinical care of HIV-infected individuals.

Association between risk behaviors and antiretroviral resistance in HIV-infected patients receiving opioid agonist treatment.

OBJECTIVES: Antiretroviral (ARV) resistance is of concern. Opioid agonist treatment (ie, methadone or buprenorphine) is effective and decreases HIV transmission risk behaviors and HIV seroconversion. Despite prevention efforts, injection drug use (IDU) and risky sexual behaviors remain prevalent in patients receiving opioid agonist treatment. The purpose of this study is to determine in HIV-infected patients receiving opioid agonist treatment, the prevalence of HIV transmission risk behaviors, the prevalence of ARV resistance, and the prevalence of ARV resistance among those with risk behaviors. METHODS: The design was a cross-sectional study of patients recruited from opioid treatment programs and outpatient practices. We measured demographic, drug treatment, and HIV clinical information (including ARV adherence), self-reported HIV risk behaviors and drug use, urine toxicologies, and genotype testing for ARV resistance (with both standard assays and ultradeep sequencing). Data analysis included descriptive statistics. RESULTS: Fifty-nine subjects were enrolled, 64% were male, 24% were white, and mean age was 46 years. Fifty-three percent were receiving methadone, 47% were receiving buprenorphine, and 80% were receiving opioid agonist treatment for 12 weeks or more. Fourteen percent reported unprotected sex, 7% reported sharing needles or works, and 60% had positive urine toxicology for illicit drug use. Fifteen percent had evidence of HIV resistance by standard genotyping; 7% with single class resistance, 3% with double class resistance, and 5% with triple class resistance. Ultradeep sequencing found additional class resistance in 5 subjects. Twenty-two percent of subjects with evidence of transmission risk behaviors versus 14% of subjects without risk behaviors had evidence of ARV resistance. CONCLUSIONS: Improved prevention and treatment efforts may be needed for HIV-infected, opioid dependent individuals receiving opioid agonist treatment to decrease transmission of ARV resistant virus, especially in resource limited settings.

Impact of minority nonnucleoside reverse transcriptase inhibitor resistance mutations on resistance genotype after virologic failure.

Drug-resistant human immunodeficiency virus type 1 (HIV-1) minority variants increase the risk of virologic failure for first-line nonnucleoside reverse transcriptase inhibitor (NNRTI)-based regimens. We performed a pooled analysis to evaluate the relationship between NNRTI-resistant minority variants and the likelihood and types of resistance mutations detected at virologic failure. In multivariable logistic regression analysis, higher NNRTI minority variant copy numbers, non-white race, and nevirapine use were associated with a higher risk of NNRTI resistance at virologic failure. Among participants on efavirenz, K103N was the most frequently observed resistance mutation at virologic failure regardless of the baseline minority variant. However, the presence of baseline Y181C minority variant was associated with a higher probability of Y181C detection after virologic failure. NNRTI regimen choice and preexisting NNRTI-resistant minority variants were both associated with the probability and type of resistance mutations detected after virologic failure.

Development of elvitegravir resistance and linkage of integrase inhibitor mutations with protease and reverse transcriptase resistance mutations.

Failure of antiretroviral regimens containing elvitegravir (EVG) and raltegravir (RAL) can result in the appearance of integrase inhibitor (INI) drug-resistance mutations (DRMs). While several INI DRMs have been identified, the evolution of EVG DRMs and the linkage of these DRMs with protease inhibitor (PI) and reverse transcriptase inhibitor (RTI) DRMs have not been studied at the clonal level. We examined the development of INI DRMs in 10 patients failing EVG-containing regimens over time, and the linkage of INI DRMs with PI and RTI DRMs in these patients plus 6 RAL-treated patients. A one-step RT-nested PCR protocol was used to generate a 2.7 kB amplicon that included the PR, RT, and IN coding region, and standard cloning and sequencing techniques were used to determine DRMs in 1,277 clones (mean 21 clones per time point). Results showed all patients had multiple PI, NRTI, and/or NNRTI DRMs at baseline, but no primary INI DRM. EVG-treated patients developed from 2 to 6 strains with different primary INI DRMs as early as 2 weeks after initiation of treatment, predominantly as single mutations. The prevalence of these strains fluctuated and new strains, and/or strains with new combinations of INI DRMs, developed over time. Final failure samples (weeks 14 to 48) typically showed a dominant strain with multiple mutations or N155H alone. Single N155H or multiple mutations were also observed in RAL-treated patients at virologic failure. All patient strains showed evidence of INI DRM co-located with single or multiple PI and/or RTI DRMs on the same viral strand. Our study shows that EVG treatment can select for a number of distinct INI-resistant strains whose prevalence fluctuates over time. Continued appearance of new INI DRMs after initial INI failure suggests a potent, highly dynamic selection of INI resistant strains that is unaffected by co-location with PI and RTI DRMs.

A nucleoside- and ritonavir-sparing regimen containing atazanavir plus raltegravir in antiretroviral treatment-naïve HIV-infected patients: SPARTAN study results.

BACKGROUND: Nucleoside and ritonavir (RTV) toxicities have led to increased interest in nucleoside reverse transcriptase inhibitors (NRTIs) and RTV-sparing antiretroviral regimens. SPARTAN was a multicenter, randomized, open-label, noncomparative pilot study evaluating the efficacy, safety, and resistance profile of an investigational NRTI- and RTV-sparing regimen (experimental atazanavir [ATV] dose 300 mg bid + raltegravir [RAL] 400 mg bid [ATV+RAL]). The reference regimen consisted of ATV 300 mg/RTV 100 mg qd + tenofovir (TDF) 300 mg/emtricitabine (FTC) 200 mg qd (ATV/r+TDF/FTC). METHODS: Treatment-naïve HIV-infected patients with HIV-RNA ≥5,000 copies/mL were randomized 2:1 to receive twice-daily ATV+RAL (n=63) or once-daily ATV/r+TDF/FTC (n=31). Efficacy at 24 weeks was determined by confirmed virologic response (CVR; HIV-RNA <50 copies/mL) with noncom-pleters counted as failures based on all treated subjects. RESULTS: The proportion of patients with CVR HIV RNA <50 copies/mL at week 24 was 74.6% (47/63) in the ATV+RAL arm and 63.3% (19/30) in the ATV/r+TDF/FTC arm. Systemic exposure to ATV in the ATV+RAL regimen was higher than historically observed with ATV/r+TDF/ FTC. Incidence of Grade 4 hyperbilirubinemia was higher on ATV+RAL (20.6%; 13/63) than on ATV/r+TDF/FTC (0%). The criteria for resistance testing (virologic failure [VF]: HIV-RNA ≥400 copies/mL) was met in 6/63 patients on ATV+RAL, and 1/30 on ATV/r+TDF/FTC; 4 VFs on ATV+RAL developed RAL resistance. CONCLUSIONS: ATV+RAL, an experimental NRTI- and RTV-sparing regimen, achieved virologic suppression rates comparable to current standards of care for treatment-naïve patients. The overall profile did not appear optimal for further clinical development given its development of resistance to RAL and higher rates of hyperbilirubinemia with twice-daily ATV compared with ATV/RTV.

Relationship between minority nonnucleoside reverse transcriptase inhibitor resistance mutations, adherence, and the risk of virologic failure.

OBJECTIVES: To evaluate the risk of virologic failure conferred by suboptimal adherence to nonnucleoside reverse transcriptase inhibitors (NNRTIs) and minority NNRTI resistance mutations. DESIGN: Pooled analysis of the risk of virologic failure conferred by minority NNRTI resistance mutations and NNRTI adherence from three studies of treatment-naïve individuals initiating an NNRTI-based regimen. METHODS: Participants from each study were categorized into both adherence quartiles (Q1-Q4) and four strata: at least 95%, 80-94%, 60-79%, and below 60%. Weighted Cox proportional hazard models were used to estimate the risk of virologic failure. RESULTS: The majority of participants (N = 768) had high measured adherence, but those in the lowest adherence quartile had the highest proportion of participants with virologic failure and the risk of virologic failure increased step-wise with adherence below 95%. Detection of minority NNRTI drug resistance mutations increased the proportion of participants with virologic failure across adherence quartiles (Cochran-Mantel-Haenszel P < 0.001) and adherence strata [Cochran-Mantel-Haenszel P < 0.001; <60% adherence, hazard ratio 1.7 (1.1-2.7), P = 0.02; 60-79% adherence, hazard ratio 1.2 (0.5-3.2), P = 0.67; 80-94% adherence, hazard ratio 2.5 (0.98-6.3), P = 0.06; ≥95% adherence, hazard ratio 3.6 (2.3-5.6), P < 0.001]. On multivariate analysis, the effect of minority variants was also most prominent at higher levels of medication adherence. CONCLUSIONS: The presence of minority NNRTI resistance mutations and NNRTI adherence were found to be independent predictors of virologic failure, but also modify each other's effects on virologic failure. In addition to the focus on medication adherence counseling, ultrasensitive HIV-1 drug resistance assays could play a role in optimizing the success rates of first-line antiretroviral therapy.

Prevalence of low-level HIV-1 variants with reverse transcriptase mutation K65R and the effect of antiretroviral drug exposure on variant levels.

BACKGROUND: It has been reported that treatment-naive individuals infected with HIV-1 subtype C may be more likely to harbour viral variants possessing a K65R reverse transcriptase gene mutation. The objectives of this study were to determine the prevalence of low-level K65R variants within different HIV-1 subtypes and to assess the effects of antiretroviral exposure on K65R variant levels. METHODS: Treatment-naive individuals infected with different HIV-1 subtypes were genotyped by ultra-deep sequencing. Samples were evaluated for low-level variants to 0.4% or 1% levels depending upon viral load. Estimated mutational load was calculated by multiplying the percentage of the variant by the plasma viral load. RESULTS: A total of 411 treatment-naive individuals were evaluated by ultra-deep sequencing to 1% levels; 4 subjects (0.97%) had K65R variants at ≥1% or had a very high mutation load. All four subjects had variants with linked drug resistance mutations suggesting transmitted resistant variants. 147 ARV-naive subjects were sequenced to 0.4% levels; 8.8% (13/147) had K65R low-level variants identified: 2.2% (2/92) in subtype B, 35.7% (10/28) in subtype C (P<0.001 for B versus C) and 3.7% (1/27) in non-B/C subtypes. The 13 ARV-naive subjects with K65R variants at <1% received tenofovir plus emtricitabine plus a ritonavir-boosted protease inhibitor (TDF+FTC+PI/r) and 5 subsequently experienced virological failure. There was no enhancement in K65R levels by percentage or mutational load compared to pre-therapy levels. CONCLUSIONS: Low-level K65R variants were more frequently identified in subtype C. K65R variants at >1% levels likely represent transmitted resistant variants. The clinical implication of low-level K65R variants below 1% in treatment-naive subjects who receive TDF+FTC+PI/r remains to be determined as the majority are very low-level and did not increase after antiretroviral exposure.

Low-frequency HIV-1 drug resistance mutations and risk of NNRTI-based antiretroviral treatment failure: a systematic review and pooled analysis.

CONTEXT: Presence of low-frequency, or minority, human immunodeficiency virus type 1 (HIV-1) drug resistance mutations may adversely affect response to antiretroviral treatment (ART), but evidence regarding the effects of such mutations on the effectiveness of first-line ART is conflicting. OBJECTIVE: To evaluate the association of preexisting drug-resistant HIV-1 minority variants with risk of first-line nonnucleoside reverse transcriptase inhibitor (NNRTI)-based antiretroviral virologic failure. DATA SOURCES: Systematic review of published and unpublished studies in PubMed (1966 through December 2010), EMBASE (1974 through December 2010), conference abstracts, and article references. Authors of all studies were contacted for detailed laboratory, ART, and adherence data. STUDY SELECTION AND DATA ABSTRACTION: Studies involving ART-naive participants initiating NNRTI-based regimens were included. Participants were included if all drugs in their ART regimen were fully active by standard HIV drug resistance testing. Cox proportional hazard models using pooled patient-level data were used to estimate the risk of virologic failure based on a Prentice weighted case-cohort analysis stratified by study. DATA SYNTHESIS: Individual data from 10 studies and 985 participants were available for the primary analysis. Low-frequency drug resistance mutations were detected in 187 participants, including 117 of 808 patients in the cohort studies. Low-frequency HIV-1 drug resistance mutations were associated with an increased risk of virologic failure (hazard ratio (HR], 2.3 [95% confidence interval {CI}, 1.7-3.3]; P < .001) after controlling for medication adherence, race/ethnicity, baseline CD4 cell count, and plasma HIV-1 RNA levels. Increased risk of virologic failure was most strongly associated with minority variants resistant to NNRTIs (HR, 2.6 [95% CI, 1.9-3.5]; P < .001). Among participants from the cohort studies, 35% of those with detectable minority variants experienced virologic failure compared with 15% of those without minority variants. The presence of minority variants was associated with 2.5 to 3 times the risk of virologic failure at either 95% or greater or less than 95% overall medication adherence. A dose-dependent increased risk of virologic failure was found in participants with a higher proportion or quantity of drug-resistant variants. CONCLUSION: In a pooled analysis, low-frequency HIV-1 drug resistance mutations, particularly involving NNRTI resistance, were significantly associated with a dose-dependent increased risk of virologic failure with first-line ART.

Epidemiology, seasonality, and predictors of outcome of AIDS-associated Penicillium marneffei infection in Ho Chi Minh City, Viet Nam.

BACKGROUND: Penicillium marneffei is an important human immunodeficiency virus (HIV)-associated opportunistic pathogen in Southeast Asia. The epidemiology and the predictors of penicilliosis outcome are poorly understood. METHODS: We performed a retrospective study of culture-confirmed incident penicilliosis admissions during 1996-2009 at the Hospital for Tropical Diseases in Ho Chi Minh City, Viet Nam. Seasonality of penicilliosis was assessed using cosinor models. Logistic regression was used to assess predictors of death or worsening disease based on 10 predefined covariates, and Cox regression was performed to model time-to-antifungal initiation. RESULTS: A total of 795 patients were identified; hospital charts were obtainable for 513 patients (65%). Cases increased exponentially and peaked in 2007 (156 cases), mirroring the trends in AIDS admissions during the study period. A highly significant seasonality for penicilliosis (P<.001) but not for cryptococcosis (P=.63) or AIDS admissions (P=.83) was observed, with a 27% (95% confidence interval, 14%-41%) increase in incidence during rainy months. All patients were HIV infected; the median CD4 cell count (62 patients) was 7 cells/µL (interquartile range, 4-24 cells/µL). Hospital outcome was an improvement in 347 (68%), death in 101 (20%), worsening in 42 (8%), and nonassessable in 23 (5%) cases. Injection drug use, shorter history, absence of fever or skin lesions, elevated respiratory rates, higher lymphocyte count, and lower platelet count independently predicted poor outcome in both complete-case and multiple-imputation analyses. Time-to-treatment initiation was shorter for patients with skin lesions (hazard ratio, 3.78; 95% confidence interval, 2.96-4.84; P<.001). CONCLUSIONS: Penicilliosis incidence correlates with the HIV/AIDS epidemic in Viet nam. The number of cases increases during rainy months. Injection drug use, shorter history, absence of fever or skin lesions, respiratory difficulty, higher lymphocyte count, and lower platelet count predict poor in-hospital outcome.

Low-abundance HIV drug-resistant viral variants in treatment-experienced persons correlate with historical antiretroviral use.

BACKGROUND: It is largely unknown how frequently low-abundance HIV drug-resistant variants at levels under limit of detection of conventional genotyping (<20% of quasi-species) are present in antiretroviral-experienced persons experiencing virologic failure. Further, the clinical implications of low-abundance drug-resistant variants at time of virologic failure are unknown. METHODOLOGY/PRINCIPAL FINDINGS: Plasma samples from 22 antiretroviral-experienced subjects collected at time of virologic failure (viral load 1380 to 304,000 copies/mL) were obtained from a specimen bank (from 2004-2007). The prevalence and profile of drug-resistant mutations were determined using Sanger sequencing and ultra-deep pyrosequencing. Genotypes were interpreted using Stanford HIV database algorithm. Antiretroviral treatment histories were obtained by chart review and correlated with drug-resistant mutations. Low-abundance drug-resistant mutations were detected in all 22 subjects by deep sequencing and only in 3 subjects by Sanger sequencing. In total they accounted for 90 of 247 mutations (36%) detected by deep sequencing; the majority of these (95%) were not detected by standard genotyping. A mean of 4 additional mutations per subject were detected by deep sequencing (p<0.0001, 95%CI: 2.85-5.53). The additional low-abundance drug-resistant mutations increased a subject's genotypic resistance to one or more antiretrovirals in 17 of 22 subjects (77%). When correlated with subjects' antiretroviral treatment histories, the additional low-abundance drug-resistant mutations correlated with the failing antiretroviral drugs in 21% subjects and correlated with historical antiretroviral use in 79% subjects (OR, 13.73; 95% CI, 2.5-74.3, p = 0.0016). CONCLUSIONS/SIGNIFICANCE: Low-abundance HIV drug-resistant mutations in antiretroviral-experienced subjects at time of virologic failure can increase a subject's overall burden of resistance, yet commonly go unrecognized by conventional genotyping. The majority of unrecognized resistant mutations correlate with historical antiretroviral use. Ultra-deep sequencing can provide important historical resistance information for clinicians when planning subsequent antiretroviral regimens for highly treatment-experienced patients, particularly when their prior treatment histories and longitudinal genotypes are not available.

Development of an electronic medical record-based clinical decision support tool to improve HIV symptom management.

Common symptoms associated with HIV disease and its management are often underrecognized and undertreated. A clinical decision support tool for symptom management was developed within the Veterans Health Administration electronic medical record (EMR), aiming at increasing provider awareness of and response to common HIV symptoms. Its feasibility was studied in March to May 2007 by implementing it within a weekly HIV clinic, comparing a 4-week intervention period with a 4-week control period. Fifty-six patients and their providers participated in the study. Patients' perceptions of providers' awareness of their symptoms, proportion of progress notes mentioning any symptom(s) and proportion of care plans mentioning any symptom(s) were measured. The clinical decision support tool used portable electronic "tablets" to elicit symptom information at the time of check-in, filtered, and organized that information into a concise and clinically relevant EMR note available at the point of care, and facilitated clinical responses to that information. It appeared to be well accepted by patients and providers and did not substantially impact workflow. Although this pilot study was not powered to detect effectiveness, 25 (93%) patients in the intervention group reported that their providers were very aware of their symptoms versus 27 (75%) control patients (p = 0.07). The proportion of providers' notes listing symptoms was similar in both periods; however, there was a trend toward including a greater number of symptoms in intervention period progress notes. The symptom support tool seemed to be useful in clinical HIV care. The Veterans Health Administration EMR may be an effective "laboratory" for developing and testing decision supports.

Raltegravir with unboosted atazanavir 300 mg twice daily in antiretroviral treatment-experienced participants.

Raltegravir (RAL) is an HIV integrase inhibitor characterized by potent antiretroviral activity, few adverse effects, and lack of cross-resistance to other antiretroviral (ARV) agents. RAL is emerging as a component of effective alternative ARV therapy for those who experience therapeutic failure or intolerance to reverse transcriptase inhibitors (NRTI and NNRTI) and ritonavir (RTV)-boosted protease inhibitor (PI) containing regimens. The combination of RAL with atazanavir (ATV) without a concomitant NRTI-based backbone or the inclusion of RTV may provide an alternative strategy for those unable to tolerate these latter ARV agents. In this report the authors present a case series of treatment-experienced patients managed with RAL + ATV given without a boosting dose of RTV. All patients tolerated this regimen over a course of 25 to 82 weeks, and had good virologic and immunologic outcome with a decrease in HIV RNA levels to <50 copies/mL and a mean CD4 count increase of 234 cells/mm(3).