Potential drug-drug interactions of OMBITASVIR, PARITAPREVIR/ritonavir ± DASABUVIR ± ribavirin in clinical practice.

BACKGROUND & AIMS: Drug-drug interactions (DDIs) with ombitasvir/paritaprevir/ritonavir with or without dasabuvir and with or without ribavirin (OBV/PTV/r ± DSV ± RBV) are common in clinical trials. Our aim was to analyze the prevalence and management of potential DDIs and adverse events (AEs) related to DDIs in patients with chronic hepatitis C (CHC) receiving OBV/PTV/r ± DSV ± RBV in clinical practice. METHODS: 177 CHC patients started OBV/PTV/r ± DSV ± RBV in 4 Spanish hospitals and were screened for potential DDIs using the University of Liverpool database. Patients were classified according to the most serious potential DDIs at baseline and AEs during therapy. RESULTS: At least one potential DDI was found in 110 (62.1%) patients: 100 (56.5%) had at least one manageable potential DDI and 10 (5.6%) at least one contraindicated. Patients with potential DDIs were receiving a higher number of concomitant drugs (4 vs. 2, P < 0.001). Routine medication was modified at baseline due to potential DDIs in 49 (27.7%) patients. During antiviral treatment, 67 (37.9%) patients presented at least one AE. In 9 (4.5%) patients, a DDI was suspected between OBV/PTV/r ± DSV ± RBV and the concomitant drug, requiring antiviral discontinuation in 4 patients. CONCLUSIONS: Potential DDIs are frequent with OBV/PTV/r ± DSV ± RBV, although a change in baseline medication is made in only one-quarter of patients. More than half of potential DDIs were only followed, and only 5% of patients developed AEs in which the implication of DDIs could not be excluded.

Role of ribavirin in interferon-free therapy for the treatment of hepatitisC virus. / Papel de la ribavirina en la terapia libre de interferón frente al virus de la hepatitisC.

Interferon-free regimens achieve sustained virologic response (SVR) rates of over 90%, have generally well-tolerated adverse effects and involve 12-week treatment durations for most patients with chronic hepatitis C, including naive or previously treated patients and patients with or without cirrhosis. However, some of the treatment options recommended by the guidelines require the addition of ribavirin (RBV) or extend the duration of treatment to increase efficacy. The use of RBV is a useful tool in those difficult-to-cure patients such as patients with decompensated or genotype-3-infected cirrhosis and those who have not achieved SVR after treatment with direct-acting antivirals (DAA). Overall, adding RBV to the different combinations causes adverse effects related to a decrease in haemoglobin and involves inconveniences such as its dosage, which requires patients to take several tablets twice daily. However, severe anaemia is rare and easily manageable with a dose reduction. In addition, RBV is teratogenic. In practice, because RBV is inexpensive and well tolerated when combined with an interferon-free regimen, it continues to be a useful tool to optimise the results of some HCV treatment regimens. RBV-free regimens eliminate RBV-related adverse effects related, resulting in better tolerability, improving patient adherence and quality of life and reducing the cost of treatment.

Relevance of baseline viral genetic heterogeneity and host factors for treatment outcome prediction in hepatitis C virus 1b-infected patients.

BACKGROUND: Only about 50% of patients chronically infected with HCV genotype 1 (HCV-1) respond to treatment with pegylated interferon-alfa and ribavirin (dual therapy), and protease inhibitors have to be administered together with these drugs increasing costs and side-effects. We aimed to develop a predictive model of treatment response based on a combination of baseline clinical and viral parameters. METHODOLOGY: Seventy-four patients chronically infected with HCV-1b and treated with dual therapy were studied (53 retrospectively -training group-, and 21 prospectively -validation group-). Host and viral-related factors (viral load, and genetic variability in the E1-E2, core and Interferon Sensitivity Determining Region) were assessed. Multivariate discriminant analysis and decision tree analysis were used to develop predictive models on the training group, which were then validated in the validation group. PRINCIPAL FINDINGS: A multivariate discriminant predictive model was generated including the following variables in decreasing order of significance: the number of viral variants in the E1-E2 region, an amino acid substitution pattern in the viral core region, the IL28B polymorphism, serum GGT and ALT levels, and viral load. Using this model treatment outcome was accurately predicted in the training group (AUROC = 0.9444; 96.3% specificity, 94.7% PPV, 75% sensitivity, 81% NPV), and the accuracy remained high in the validation group (AUROC = 0.8148, 88.9% specificity, 90.0% PPV, 75.0% sensitivity, 72.7% NPV). A second model was obtained by a decision tree analysis and showed a similarly high accuracy in the training group but a worse reproducibility in the validation group (AUROC = 0.9072 vs. 0.7361, respectively). CONCLUSIONS AND SIGNIFICANCE: The baseline predictive models obtained including both host and viral variables had a high positive predictive value in our population of Spanish HCV-1b treatment naïve patients. Accurately identifying those patients that would respond to the dual therapy could help reducing implementation costs and additional side effects of new treatment regimens.

Prophylactic treatment with escitalopram of pegylated interferon alfa-2a-induced depression in hepatitis C: a 12-week, randomized, double-blind, placebo-controlled trial.

BACKGROUND: Depression is one of the main reasons for treatment withdrawal and failure in chronic hepatitis C patients treated with interferon. Antidepressants are useful for its treatment, but whether they can also be used for prevention has yet to be established. METHOD: To evaluate the efficacy and safety of escitalopram for preventing interferon alfa-2a-induced depression, we conducted an investigator-initiated multicenter, randomized, double-blind, placebo-controlled trial in 133 chronic hepatitis C patients without baseline mental disorders who were randomly assigned to receive escitalopram or placebo during the first 12 weeks of treatment. Primary efficacy outcomes were the development of DSM-IV major depression and scores on the Montgomery-Asberg Depression Rating Scale (MADRS) and the Hospital Anxiety and Depression Scale (HADS). Primary safety end points were biochemical and virological responses. Patients were recruited between March 2005 and July 2006. RESULTS: Rates of major depression were low (5.4%) and did not differ between placebo (3.2%) and escitalopram (7.6%). MADRS and HADS scores significantly increased during treatment (P < .001 and P = .028, respectively), but there were no differences between treatment groups. Sustained virological response was achieved by 69.2% of patients, 70.4% in the placebo group and 67.9% in the escitalopram group. CONCLUSIONS: Findings do not support the use of an antidepressant to prevent interferon-induced depression during the first 12 weeks of treatment in chronic hepatitis C patients at low psychiatric risk. Future studies should be directed to subpopulations of patients at high psychiatric risk. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00166296.

Baseline prediction of combination therapy outcome in hepatitis C virus 1b infected patients by discriminant analysis using viral and host factors.

BACKGROUND: Current treatment of chronic hepatitis C virus (HCV) infection has limited efficacy -especially among genotype 1 infected patients-, is costly, and involves severe side effects. Thus, predicting non-response is of major interest for both patient wellbeing and health care expense. At present, treatment cannot be individualized on the basis of any baseline predictor of response. We aimed to identify pre-treatment clinical and virological parameters associated with treatment failure, as well as to assess whether therapy outcome could be predicted at baseline. METHODOLOGY: Forty-three HCV subtype 1b (HCV-1b) chronically infected patients treated with pegylated-interferon alpha plus ribavirin were retrospectively studied (21 responders and 22 non-responders). Host (gender, age, weight, transaminase levels, fibrosis stage, and source of infection) and viral-related factors (viral load, and genetic variability in the E1-E2 and Core regions) were assessed. Logistic regression and discriminant analyses were used to develop predictive models. A "leave-one-out" cross-validation method was used to assess the reliability of the discriminant models. PRINCIPAL FINDINGS: Lower alanine transaminase levels (ALT, p=0.009), a higher number of quasispecies variants in the E1-E2 region (number of haplotypes, nHap_E1-E2) (p=0.003), and the absence of both amino acid arginine at position 70 and leucine at position 91 in the Core region (p=0.039) were significantly associated with treatment failure. Therapy outcome was most accurately predicted by discriminant analysis (90.5% sensitivity and 95.5% specificity, 85.7% sensitivity and 81.8% specificity after cross-validation); the most significant variables included in the predictive model were the Core amino acid pattern, the nHap_E1-E2, and gamma-glutamyl transferase and ALT levels. CONCLUSIONS AND SIGNIFICANCE: Discriminant analysis has been shown as a useful tool to predict treatment outcome using baseline HCV genetic variability and host characteristics. The discriminant models obtained in this study led to accurate predictions in our population of Spanish HCV-1b treatment naïve patients.