Clinical use, efficacy, and durability of maraviroc for antiretroviral therapy in routine care: A European survey.

OBJECTIVES: The study aimed to survey maraviroc use and assess effectiveness and durability of maraviroc-containing antiretroviral treatment (ART) in routine practice across Europe. METHODS: Data were retrieved from 26 cohorts in 8 countries comprising adults who started maraviroc in 2005-2016 and had ≥1 follow-up visit. Available V3 sequences were re-analysed centrally for tropism determination by geno2pheno[coreceptor]. Treatment failure (TF) was defined as either virological failure (viral load >50 copies/mL) or maraviroc discontinuation for any reason over 48 weeks. Predictors of TF were explored by logistic regression analysis. Time to maraviroc discontinuation was estimated by Kaplan-Meier survival analysis. RESULTS: At maraviroc initiation (baseline), among 1,381 patients, 67.1% had experienced ≥3 ART classes and 45.6% had a viral load <50 copies/mL. Maraviroc was occasionally added to the existing regimen as a single agent (7.3%) but it was more commonly introduced alongside other new agents, and was often (70.4%) used with protease inhibitors. Accompanying drugs comprised 1 (40.2%), 2 (48.6%) or ≥3 (11.2%) ART classes. Among 1,273 patients with available tropism data, 17.6% showed non-R5 virus. Non-standard maraviroc use also comprised reported once daily dosing (20.0%) and a total daily dose of 150mg (12.1%). Over 48 weeks, 41.4% of patients met the definition of TF, although the 1-year estimated retention on maraviroc was 82.1% (95% confidence interval 79.9-84.2). Among 1,010 subjects on maraviroc at week 48, the viral load was >50 copies/mL in 19.9% and >200 copies/mL in 10.7%. Independent predictors of TF comprised a low nadir CD4 count, a detectable baseline viral load, previous PI experience, non-R5 tropism, having ≥3 active drugs in the accompanying regimen, and a more recent calendar year of maraviroc initiation. CONCLUSIONS: This study reports on the largest observation cohort of patients who started maraviroc across 8 European countries. In this overall highly treatment-experienced population, with a small but appreciable subset that received maraviroc outside of standard treatment guidelines, maraviroc was safe and reasonably effective, with relatively low rates of discontinuation over 48 weeks and only 2 cases of serum transaminase elevations reported as reasons for discontinuation.

Staphylococcus aureus vaccine preclinical and clinical development: current state of the art.

Staphylococcus aureus is a major pathogen in both community and hospital settings. It is a significant etiological agent to treat in healthcare-related infections due to both its ability to cause invasive infection as well as to form biofilm on biomaterials and the high prevalence of resistance to first line antibiotics. The most challenging preventive strategy is vaccine development to guarantee a full and durable protection from staphylococcal diseases in all different high-risk populations, even if the lack of a known correlate of protection from S. aureus is a major hindrance to this effort. We aimed to review the most recent advances in the field of vaccinology against S. aureus, highlighting the potential for future application of the different experimental vaccine types. Several vaccines have completed their preclinical phase of development and others have been tested in humans, however no successful phase III clinical trial has yet been completed.

Improved darunavir genotypic mutation score predicting treatment response for patients infected with HIV-1 subtype B and non-subtype B receiving a salvage regimen.

OBJECTIVES: The objective of this study was to improve the prediction of the impact of HIV-1 protease mutations in different viral subtypes on virological response to darunavir. METHODS: Darunavir-containing treatment change episodes (TCEs) in patients previously failing PIs were selected from large European databases. HIV-1 subtype B-infected patients were used as the derivation dataset and HIV-1 non-B-infected patients were used as the validation dataset. The adjusted association of each mutation with week 8 HIV RNA change from baseline was analysed by linear regression. A prediction model was derived based on best subset least squares estimation with mutational weights corresponding to regression coefficients. Virological outcome prediction accuracy was compared with that from existing genotypic resistance interpretation systems (GISs) (ANRS 2013, Rega 9.1.0 and HIVdb 7.0). RESULTS: TCEs were selected from 681 subtype B-infected and 199 non-B-infected adults. Accompanying drugs were NRTIs in 87%, NNRTIs in 27% and raltegravir or maraviroc or enfuvirtide in 53%. The prediction model included weighted protease mutations, HIV RNA, CD4 and activity of accompanying drugs. The model's association with week 8 HIV RNA change in the subtype B (derivation) set was R(2) = 0.47 [average squared error (ASE) = 0.67, P < 10(-6)]; in the non-B (validation) set, ASE was 0.91. Accuracy investigated by means of area under the receiver operating characteristic curves with a binary response (above the threshold value of HIV RNA reduction) showed that our final model outperformed models with existing interpretation systems in both training and validation sets. CONCLUSIONS: A model with a new darunavir-weighted mutation score outperformed existing GISs in both B and non-B subtypes in predicting virological response to darunavir.

Cost-effectiveness of HIV drug resistance testing to inform switching to second line antiretroviral therapy in low income settings.

BACKGROUND: To guide future need for cheap resistance tests for use in low income settings, we assessed cost-effectiveness of drug resistance testing as part of monitoring of people on first line ART - with switching from first to second line ART being conditional on NNRTI drug resistance mutations being identified. METHODS: An individual level simulation model of HIV transmission, progression and the effect of ART which accounts for adherence and resistance development was used to compare outcomes of various potential monitoring strategies in a typical low income setting in sub-Saharan Africa. Underlying monitoring strategies considered were based on clinical disease, CD4 count or viral load. Within each we considered a strategy in which no further measures are performed, one with a viral load measure to confirm failure, and one with both a viral load measure and a resistance test. Predicted outcomes were assessed over 2015-2025 in terms of viral suppression, first line failure, switching to second line regimen, death, HIV incidence, disability-adjusted-life-years averted and costs. Potential future low costs of resistance tests ($30) were used. RESULTS: The most effective strategy, in terms of DALYs averted, was one using viral load monitoring without confirmation. The incremental cost-effectiveness ratio for this strategy was $2113 (the same as that for viral load monitoring with confirmation). ART monitoring strategies which involved resistance testing did not emerge as being more effective or cost effective than strategies not using it. The slightly reduced ART costs resulting from use of resistance testing, due to less use of second line regimens, was of similar magnitude to the costs of resistance tests. CONCLUSION: Use of resistance testing at the time of first line failure as part of the decision whether to switch to second line therapy was not cost-effective, even though the test was assumed to be very inexpensive.

Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting.

OBJECTIVES: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. METHODS: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GISs and tested as a predictor of virological treatment outcome by univariable and multivariable logistic regression as well as by receiver operating characteristic curve analysis. The two systems implementing drug potency weights (AntiRetroScan and Rega) were evaluated with and without this correction factor. RESULTS: All four GSSs were strong predictors of virological treatment outcome at both 8 and 24 weeks after adjusting for baseline viro-immunological parameters and previous drug exposure (odds ratios ranging from 2.04 to 2.43 per 1 unit GSS increase; P < 0.001 for all the systems). The accuracy of AntiRetroScan and Rega was significantly increased by drug potency weighting with respect to the unweighted versions (P

Association of HIV-1 replication capacity with treatment outcomes in patients with virologic treatment failure.

BACKGROUND: The extent to which HIV-1 replication capacity (RC) influences the response to therapy remains to be established. METHODS: Phenotypic susceptibility and RC of baseline isolates (n = 139) from patients enrolled in the ARGENTA trial were measured and correlated to treatment outcomes over 36 months. RESULTS: RC in baseline isolates correlated with the number of phenotypically active drugs (R = 0.34, P < 0.001). Crude viral RC did not predict treatment outcomes. When viral RC was adjusted by baseline CD4 cell counts, HIV-1 RNA levels, and phenotypic susceptibility to the rescue regimen, it showed significant association with the immunologic outcome (per log10 RC higher, mean difference in 36 months' time-averaged change from baseline CD4 count = -68 cells/microL; P = 0.020). In the subgroup of patients with 3 or more phenotypically active drugs in the salvage regimen (n = 35, median RC = 65%), subjects carrying isolates with RC < or =65% as compared to those with RC >65% had better time-averaged HIV-1 RNA responses (mean: -1.04 vs. -0.32 log10 copies/mL; P = 0.012) and CD4 cell responses (mean: 132 vs. -7 cells/microL; P = 0.006). Among patients with HIV-1 RNA levels persistently >500 copies/mL (n = 61), RC, on a log10 basis, was inversely associated with time-averaged 36-month CD4 cell responses (beta = -0.26; P = 0.046). CONCLUSION: After normalizing for viral susceptibility to the employed regimen or in patient subsets with suboptimal virologic response, higher viral RC may predict worse subsequent treatment outcomes.

Using a database of HIV patients undergoing genotypic resistance test after HAART failure to understand the dynamics of M184V mutation.

OBJECTIVE: M184V/I mutation is associated with high-level phenotypic resistance to lamivudine (3TC). The aim of the present analysis was to correlate the time of appearance/disappearance of M184V/I with duration of 3TC treatment. METHODS: Overall, 211 patients were selected from a database of HIV patients undergoing genotypic resistance test after virological failure of HAART regimens in two major reference centres in Rome between 1999 and 2001. At the time of genotyping, 120 of them (56.9%) were failing a 3TC-including HAART, while 91 (43.1%) received 3TC only in previous HAART. Duration of the current 3TC-containing regimen and the time from the end of last 3TC treatment to genotypic resistance test (GRT) were analysed. RESULTS: Among patients currently undergoing 3TC-containing HAART, the prevalence of M184V/I was 82.5% (78.3/4.2%, respectively) and significantly associated to current 3TC use at GRT. Prevalence of M184V/I was associated to longer history of 3TC (from 47.1% in patients treated with 3TC for <6 months, to 84.0% among those treated for 7-12 months; 100.0% of patients with >42 months of current 3TC carried M184V. At logistic regression analysis, the rate of increase of M184V/I in 3TC-failing patients was statistically significant (OR: 1.066 per month of current 3TC therapy, 95% CI: 1.020-1.114, P<0.01), suggesting a 6.6% monthly increase of probability of M184V/I. Among patients who interrupted 3TC, overall prevalence of M184V/I was 23.1%: proportion of patients carrying the M184V/I dropped from 83.3% among those who interrupted 3TC from < or = 3 months, to 56.3, 20, 10.5 and 0% for those interrupting 3TC from 6, 12, 24 and > or = 24 months, respectively. At logistic regression, the rate of disappearance of M184V/I was also statistically significant (OR: 0.883 per month, 95% CI: 0.804-0.970, P=0.01), indicating a 11.7% monthly decrease of probability of M184V/I after 3TC interruption. CONCLUSIONS: Dynamics of appearance/disappearance of M184V/I mutation is rapid after 3TC failure/interruption, suggesting ease of development of such a mutation, but also suggesting a remarkable growth disadvantage for HIV. From the clinical perspective, recycling of drugs whose antiviral activity is affected by M184V mutation can be successful after appropriate drug wash-out, also in heavily pretreated patients.