Almudena Torres-Cornejo

Benefits From Sustained Virologic Response to Pegylated Interferon Plus Ribavirin in HIV/Hepatitis C Virus–Coinfected Patients With Compensated Cirrhosis

BACKGROUND The objective of this study was to determine the impact of sustained virologic response (SVR) to pegylated interferon (peg-IFN) plus ribavirin (RBV) on the incidence of liver-related complications and overall mortality in human immunodeficiency virus (HIV)-infected patients with compensated hepatitis C virus (HCV)-related cirrhosis. METHODS We included in this prospective cohort study 166 coinfected patients with compensated cirrhosis, who received peg-IFN plus RBV, to assess the time from the starting date of HCV therapy to the first hepatic decompensation and death due to any cause. RESULTS SVR was observed in 43 (25%) individuals. Two (4.6%) patients with SVR developed liver decompensation vs 33 (26.8%) individuals without SVR (P = .002). The incidence of liver-related complications was 0.89 cases per 100 person-years (95% confidence interval [CI], .11-3.1) in SVR patients and 6.4 cases per 100 person-years (95% CI, 4.5-8.9) in non-SVR patients. Factors independently associated with liver decompensation were non-SVR (hazard ratio [HR], 8.1; 95% CI, 1.08-61.5; P = .042) and MELD score ≥9 at baseline (HR, 2.9; 95% CI, 1.2-7.2; P = .016). Two (4.6%) patients with SVR died due to any cause compared with 22 (17.9%) individuals without SVR (P = .02). MELD score ≥9 (HR, 3.1; 95% CI, 1.3-7.7; P = .011) and non-SVR (HR, 8.0; 95% CI, 1.07-61; P = .043) were independently associated with overall mortality. CONCLUSIONS The achievement of SVR following peg-IFN plus RBV markedly reduces the incidence of liver-related decompensation and the overall mortality in HIV/HCV-coinfected patients with compensated cirrhosis.

Prediction of response to pegylated interferon plus ribavirin in HIV/hepatitis C virus (HCV)-coinfected patients using HCV genotype, IL28B variations, and HCV-RNA load.

BACKGROUND & AIMS This study aimed at developing a predictive algorithm based on interleukin 28B (IL28B) genotype, hepatitis C virus (HCV) genotype, and plasma HCV-RNA load, which could accurately allow us to define the probability of response to pegylated interferon (Peg-IFN) plus ribavirin (RBV) therapy in HIV/HCV-coinfected patients. METHODS Five hundred and twenty-one treatment-naive HIV-infected patients, who initiated HCV therapy with Peg-IFN/RBV, were analysed in an on-treatment basis. Patients were categorized as unlikely responders, uncertain responders, and anticipated responders (<20%, 20-60%, and >60% probability to achieve SVR, respectively). RESULTS HCV genotype, baseline HCV-RNA load, and IL28B genotype were confirmed as independent predictors of SVR in a logistic regression analysis. A stepwise algorithm based on these three variables was created based on 321 patients and evaluated in the remaining 200 patients. Unlikely responders included patients with genotype 1 or 4, HCV-RNA load ≥600,000IU/ml, and rs12979860 non-CC (rate of SVR: 17.3%). Anticipated responders were those with HCV genotype 2-3, patients harboring HCV genotype 4 and IL28B CC, as well as those who simultaneously bore HCV genotype 1, HCV-RNA load <600,000IU/ml, and IL28B CC (rate of SVR 74.1%, 77.8%, and 64.4%, respectively). The area under the receiver operating characteristic curve of the model was 0.77 (0.733-0.814). CONCLUSIONS The combined use of IL28B genotype, HCV genotype, and HCV-RNA load enables to easily identify patients with a high and very low likelihood of SVR. HCV therapy could be deferred in the latter patients, until more effective options are available, at least if they do not show advanced liver fibrosis.

Liver toxicity associated with antiretroviral therapy including efavirenz or ritonavir-boosted protease inhibitors in a cohort of HIV/hepatitis C virus co-infected patients

OBJECTIVES To compare the frequency of grade 3 or 4 transaminase elevations (TEs) in HIV/hepatitis C virus (HCV) co-infected patients who started a three-antiretroviral drug regimen including efavirenz or a ritonavir-boosted protease inhibitor (PI/r) and the influence of pre-existing significant hepatic fibrosis or cirrhosis. PATIENTS AND METHODS All pre-treated or treatment-naive HIV/HCV co-infected patients who started an antiretroviral regimen including two nucleos(t)ide reverse transcriptase inhibitors along with efavirenz or a PI/r in seven Spanish centres from January 2007 to December 2009 were included in this prospective study. RESULTS Of 262 patients included in this study, 76 (29%) individuals began antiretroviral therapy (ART) including efavirenz and 186 (71%) a PI/r-based combination. The median (interquartile) follow-up was 14.0 (6.2-23.7) months. A total of 20 (7.6%) patients presented grade 3-4 TEs. Four (1.5%) subjects discontinued ART due to this adverse event. Grade 3-4 TEs were observed in 5 (6.6%) subjects receiving efavirenz and 15 (8.1%) treated with PI/r (P = 0.681). Three (6.5%) patients in the efavirenz group with significant fibrosis developed grade 3-4 TEs versus 2 (8.7%) without pre-existing significant fibrosis (P = 0.743). In the PI/r group, the corresponding figures were 10 (8.8%) and 5 (9.3%), respectively (P = 0.931). CONCLUSIONS The frequency of grade 3-4 TEs associated with efavirenz-based ART combinations under clinical practice conditions is low and similar to that found in patients receiving PI/r currently used in HIV/HCV co-infected patients. The baseline fibrosis stage does not have an impact on the development of TEs caused by these antiretroviral drugs in this population.

Risk of Liver Decompensation Among HIV/Hepatitis C Virus–Coinfected Individuals With Advanced Fibrosis: Implications for the Timing of Therapy

BACKGROUND Most human immunodeficiency virus (HIV)/hepatitis C virus (HCV)-infected patients who are currently receiving boceprevir or telaprevir-based therapy against HCV show cirrhosis. However, the risk of liver decompensation (DC) among HIV/HCV-coinfected patients with stage 3 fibrosis in the short term could be high enough to not allow delays. We aimed at assessing the risk of DC among HIV/HCV-coinfected individuals with advanced fibrosis (F3-F4). METHODS Eight hundred ninety-two HIV/HCV-coinfected patients, naive or without sustained virologic response to HCV therapy, were included in this cohort. Fibrosis was staged by biopsy in 317 patients and by liver stiffness measurement (LSM) in 575 individuals. Precirrhosis was defined as an LSM of 9.5-14.6 kilopascals (kPa), and cirrhosis as an LSM of ≥14.6 kPa. RESULTS For patients with biopsy, the probability of remaining free of DC for F3 vs F4 was 99% (95% confidence interval [CI], 95%-100%) vs 96% (95% CI, 91%-98%) at 1 year, and 98% (95% CI, 94%-100%) vs 87% (95% CI, 81%-92%) at 3 years. The only factor independently associated with DC was fibrosis stage (F4 vs F3, subhazard ratio [SHR], 2.1; 95% CI, 1.07-4.1; P = .032). For patients with LSM, the probability of remaining free of DC for precirrhosis vs cirrhosis was 99% (95% CI, 96%-100%) vs 93% (95% CI, 89%-96%) at 1 year, and 97% (95% CI, 94%-99%) vs 83% (95% CI, 77%-87%) at 3 years. Factors independently associated with DC were platelet count (<100 × 10(3) vs ≥100 × 10(3): SHR, 1.86; 95% CI, 1.01-3.42; P = .046) and LSM (cirrhosis vs precirrhosis: SHR, 5.67; 95% CI, 2.27-14.1; P < .0001). CONCLUSIONS As in patients with cirrhosis, immediate therapy against HCV is warranted for patients with precirrhosis and HIV coinfection, as they are at risk of DC soon after the diagnosis of advanced fibrosis.

Cellular HIV reservoir replenishment is not affected by blip or intermittent viremia episodes during darunavir/ritonavir monotherapy.

Objective:To assess the impact of blips and persistent viremia episodes on cell-associated HIV-DNA reservoir in extensively pretreated patients receiving ritonavir-boosted darunavir monotherapy (MtDRV/rtv) for 24 months. Design and methods:Patients from the MonDAR prospective study (NCT01606722) who received at least 6 months of MtDRV/rtv and had at least two available peripheral blood mononuclear cells (PBMCs) samples were selected and classified according to the viral outcome as continuous undetectable viremia (cUV; n = 40), blips (n = 31), intermittent viremia (IV; n = 23), and virological failure (VF, two consecutive viral loads >200 copies/ml; n = 20). Proviral HIV-DNA was quantified by real-time PCR in PBMCs samples at baseline, and months 6, 12, 18 and 24. Additionally, HIV-DNA levels were exhaustively analyzed at virological failure and blip episodes. Results:The HIV-DNA levels remained constant during the 24 months in every group. Neither blips nor intermittent viremia influenced the HIV-DNA levels at short-term or at middle term. By contrast, virological failure episodes gave rise to a significant increase in proviral DNA (2.15 vs. 2.32 log10 HIV-DNA copies/106 PBMCs; P = 0.042). Basal proviral DNA levels more than 2 log10 copies/106 PBMCs predicted the time to viral rebound at any given cut-off point (>20, >50, and >200 copies/ml. HR: 3.02, 2.61, and 3.02, respectively; P ⩽ 0.03. Besides, an adherence less than 95% was also strongly associated with virological failure (HR, 3.17; P = 0.021). Conclusion:Blip episodes and intermittent viremia did not affect the cellular HIV reservoir dynamic during MtDRV/rtv. Higher adherence and an HIV-DNA levels less than 2 log10 copies/106 PBMCs at baseline were associated with a lower risk of virological failure.

Intracellular and plasma pharmacokinetics of 400 mg of etravirine once daily versus 200 mg of etravirine twice daily in HIV-infected patients

OBJECTIVES To compare intracellular and plasma etravirine concentrations when etravirine was given at 200 mg/12 h versus 400 mg/24 h and to evaluate whether the results would support once-daily dosing. METHODS This was an open-label sequential study in which eight patients on protease inhibitor (PI)-sparing regimens containing etravirine were included. Full pharmacokinetic profiles were performed while on 200 mg of etravirine/12 h and after switching to 400 mg of etravirine/24 h. Intracellular and plasma levels were determined by liquid chromatography coupled with mass spectrometry. Pharmacokinetic parameters were calculated by non-compartmental analysis and compared by geometric mean ratios (GMRs) using 200 mg of etravirine/12 h as the reference group. TRIAL REGISTRATION ClinicalTrials.gov NCT01121809. RESULTS The geometric mean (GM) for etravirine AUC(0-τ) (5602 versus 5076 ng · h/mL, GMR 0.91), C(max) (403 versus 495 ng/mL, GMR 1.23) and C(min) (139 versus 102 ng/mL, GMR 0.74) were similar with both dosing schedules at the intracellular level. In plasma, the GMRs for AUC(0-τ), C(max) and C(min) were 1.31, 1.76 and 0.99, respectively. The mean intracellular penetration, evaluated as intracellular and plasma AUC(0-τ) ratios, was 81% when etravirine was dosed twice daily and 56% with once-daily dosing. CONCLUSIONS Our results show that intracellular etravirine levels were similar with both dosing regimens in patients with PI-sparing regimens, while etravirine plasma AUC(0-τ) and C(max) were 30% and 76% higher with the once-daily regimen, respectively. Thus, a once-daily dosing regimen is supported not only by plasma etravirine pharmacokinetic profiles but also by intracellular levels.

Liver fibrosis, host genetic and hepatitis C virus related parameters as predictive factors of response to therapy against hepatitis C virus in HIV/HCV coinfected patients.

Objective To establish the role of liver fibrosis as a predictive tool of response to pegylated interferon alpha (Peg-IFN) and ribavirin (RBV) treatment in human immunodeficiency (HIV)/hepatitis C virus (HCV) coinfected patients, in addition to recognized predictive factors (HCV load, HCV genotype, IL-28B polymorphism). Patients and Methods A sample of 267 HIV/HCV coinfected patients was treated with Peg-IFN and RBV. Predictive factors of rapid (RVR) and sustained (SVR) virological response were analyzed. Independent variables were age, sex, IL28B, −238 TNF-α and −592 IL-10 polymorphisms, HCV genotype, HCV-RNA levels, significant fibrosis or cirrhosis and CD4+ T cell count. Results Patients infected by HCV genotype 1 (n = 187) showed RVR and SVR in 12% and 39% of cases, respectively. The parameters associated with RVR were IL28B genotype CC and plasma HCV-RNA levels <600000 IU/ml. Advanced liver fibrosis was negatively associated with SVR in patients without RVR. A SVR was obtained in 42% of subjects with HCV genotype 4, and the independent factors associated with SVR were IL28B genotype CC and an HCV-RNA <600000 IU/ml. A SVR was obtained in 66% of patients with HCV genotypes 2/3; in this case, the independent parameter associated with SVR was the absence of significant liver fibrosis. TNF-α and IL-10 polymorphisms were not associated with SVR, although a significantly higher percentage of −238 TNF-α genotype GG was detected in patients with significant liver fibrosis. Conclusions In HIV/HCV coinfected patients with HCV genotypes 1 or 4, RVR, mainly influenced by genotype IL28B and HCV-RNA levels, reliably predicted SVR after 4 weeks of therapy with Peg-IFN plus RBV. In patients infected by HCV genotype 3, an elevated relapse rate compromised the influence of RVR on SVR. Relapses were related to the presence of advanced liver fibrosis. Liver cirrhosis was associated with a −238 TNF-α polymorphism in these patients.

HAVCR1 Gene Haplotypes and Infection by Different Viral Hepatitis C Virus Genotypes

ABSTRACT The hepatitis A virus cellular receptor 1 (HAVCR1) gene is highly polymorphic, and several variants have been associated with susceptibility to allergic and autoimmune diseases. The HAVCR1 gene region was identified as a candidate for hepatitis C virus (HCV) natural clearance in a genotyping study of selected immune response genes in both European-American and African-American populations. The aim of the present study was to explore the influence of HAVCR1 in the outcome of HCV infection in the Spanish population. Three cohorts, consisting of 354 subjects with persistent HCV infection (285 with persistent HCV monoinfection and 69 with natural clearance), 182 coinfected HIV/HCV patients, and 320 controls, were included. Samples were genotyped in several polymorphic positions, insertion/deletion variants in exon 4 and tag single nucleotide polymorphisms (SNPs), in order to define previously described HAVCR1 haplotypes (haplotypes A to D). No statistically significant differences were observed with spontaneous resolution of infection or with viral clearance after treatment. Nevertheless, different rates of infection by viral genotypes (Gs) were observed among the HAVCR1 haplotypes. Individuals bearing haplotype C had the highest viral G1 infection rate when compared to individuals bearing other haplotypes (75.82% versus 57.72%, respectively; corrected P value [Pc], 3.2 × 10−4; odds ratio [OR], 2.30; 95% confidence interval [CI], 1.51 to 3.47). Thus, HAVCR1 could be involved in susceptibility or resistance to infection by a particular HCV genotype.

Differential Effects of Viremia and Microbial Translocation on Immune Activation in HIV-Infected Patients Throughout Ritonavir-Boosted Darunavir Monotherapy

AbstractThe purpose of this article is to evaluate the evolution of microbial translocation (MT) and its role in CD4+ and CD8+ T cells immune activation (IA) in HIV-1-infected patients on ritonavir-boosted darunavir monotherapy (mtDRV/rtv).Prospective study of consecutive HIV-1-infected patients switched to mtDRV/rtv as a simplification regimen. Subjects were classified according to the virological behavior during a 24-month follow-up as continuous undetectable viral load, blips, intermittent viremia, and virological failure (VF). MT was evaluated by plasma LPS and 16S genomic rDNA (16S rDNA) levels, whereas IA was assessed by the coexpression of HLA-DR and CD38 in CD4+ and CD8+ T cells, and plasma sCD14 levels.Seventy-one patients were included in this substudy of the MonDar cohort (ClinicalTrials.gov: NCT01505722). At baseline, CD4+ (&rgr; = −0.352, P = 0.01) and CD8+ T-cell activation (&rgr; = −0.468, P < 0.001) were correlated with time with viral suppression, but not with MT markers. A significant decrease in plasma LPS levels was found only in patients without VF (baseline, 77.8 vs month 24, 60.4 pg/mL; P < 0.001]. Both plasma 16S rDNA and sCD14 levels were unchanged irrespective of the viral behavior. The only variable independently associated with a decrease in CD4+ and CD8+ T cells activation was an undetectable HIV-1 viremia (&bgr; = 4.78, P < 0.001 and &bgr; = 2.93, P = 0.005, respectively).MT does not have a pivotal role in T-cell activation, at least in patients with long-term viral suppression. The viremic episodes and VF are the main factors related to CD4+ and CD8+ T-cells IA, even during mtDRV/rtv.

Role of Ritonavir in the Drug Interactions Between Telaprevir and Ritonavir-Boosted Atazanavir

BACKGROUND Detrimental bidirectional pharmacokinetic interactions have been observed when telaprevir (TVR) and ritonavir (RTV)-boosted human immunodeficiency virus (HIV) protease inhibitors are coadministered in healthy volunteers. Our aim was to evaluate the role of RTV in the bidirectional TVR and atazanavir (ATV) interactions. METHOD An open-label, sequential study was carried out in hepatitis C virus (HCV)/HIV-coinfected patients on a RTV-boosted ATV-based (ATVr) antiretroviral regimen (300/100 mg every 24 hours) and triple therapy for chronic C hepatitis genotype 1 (TVR, 1125 mg every 12 hours, pegylated interferon-alpha and ribavirin). Pharmacokinetic profiles were acquired before and after switching from ATVr to unboosted ATV (200 mg every 12 hours). The plasma levels of both drugs were determined by liquid chromatography coupled with mass spectrometry. Pharmacokinetic parameters were calculated by noncompartmental analysis and compared by geometric mean ratios and their 90% confidence intervals. RESULTS Fourteen white HCV/HIV-coinfected males were enrolled in this study. After RTV was withdrawn, the TVR AUC(0-12) (area under the concentration-time curve), maximum concentration (C(max)), and minimum concentration (C(min)) values increased by 19% (7%-30%), 12% (0.9%-29%), and 18% (2%-34%), respectively, without any changes in the TVR terminal half-life. The ATV AUC(0-12), C(max), and C(min) values were 39% (13%-66%), 19% (8%-59%), and 48% (1%-96%) higher, respectively, with a significantly shorter terminal half-life (22.6 hours vs 10.4 hours). CONCLUSIONS RTV is responsible for the adverse interactions that occur when TVR and ATVr are administered together, possibly by influencing either the absorption phase or first-pass metabolism of TVR. The boost effect of TVR on ATV exposure is higher than on RTV, despite its shorter terminal half-life. The coadministration of TVR and unboosted ATV results in increased exposure of both drugs compared with their coadministration with RTV. CLINICAL TRIALS REGISTRATION ClinicalTrials.gov: NCT01818856. European Medicines Agency EudraCT no. 2012-002515-25.