Literature DB >> 26225222

A Model-Based Illustrative Exploratory Approach to Optimize the Dosing of Peg-IFN/RBV in Cirrhotic Hepatitis C Patients Treated With Triple Therapy.

C Laouénan1, J Guedj2, G Peytavin3, Th Tram Nguyen2, M Lapalus4, F Khelifa-Mouri5, N Boyer5, F Zoulim6, L Serfaty7, J-P Bronowicki8, M Martinot-Peignoux4, O Lada4, T Asselah9, C Dorival10, C Hézode11, F Carrat12, F Nicot13, P Marcellin9, F Mentré1.   

Abstract

Hézode et al. recently reported the frequent occurrence of anemia and thrombocytopenia in the ANRS-CO20-CUPIC cohort of hepatitis C virus (HCV) cirrhotic experienced patients treated with pegylated-interferon (Peg-IFN), ribavirin (RBV), and telaprevir or boceprevir.1,2 Using frequent measurements of serum drug concentrations, hemoglobin, and platelet concentrations obtained in 15 patients of this cohort, we show how an on-treatment model-based approach could be used to individualize dose regimen and avoid the occurrence of RBV-induced anemia and Peg-IFN-induced thrombocytopenia.

Entities:  

Year:  2014        PMID: 26225222      PMCID: PMC4369757          DOI: 10.1002/psp4.8

Source DB:  PubMed          Journal:  CPT Pharmacometrics Syst Pharmacol        ISSN: 2163-8306


In this commentary, we provide results from 15 HCV genotype 1 patients included in the MODCUPIC study, nine receiving telaprevir and six boceprevir. Twelve (80%) were men, with a median (min-max) age of 55 (44–64) years. Eleven patients received Peg-IFN-α2a (eight in telaprevir group, three in boceprevir group), three patients Peg-IFN-α2b (all in boceprevir group), and one patient in the telaprevir group did not receive any injection of Peg-IFN. The observed drug concentrations, the estimated steady-state trough serum concentrations, Css, and "effectiveness" EC50 for all drugs are available in Laouénan et al.3 Five patients received erythropoietin in supplementation (two in the telaprevir group, three in the boceprevir group) and hemoglobin level and platelet counts were censored afterwards.

RBV-induced anemia modeling

The median (min-max) baseline hemoglobin level was 15.1 g/dl (10.8–16.0) (15.4 g/dl (10.8–16.0) in the telaprevir group and 14.5 g/dl (12.6–15.8) in the boceprevir group, P = 0.3). The hemoglobin level decreased over time in all patients (Supplementary Figures ) and was well captured by our model (Supplementary Figure ). Adding the other drugs, Peg-IFN and protease inhibitors (PIs) did not improve the fit of the data (not shown). There was no significant effect of gender on model parameters. The model predicted that the concentration leading to a 50% blocking effectiveness of RBV in blocking hemoglobin production, IC50RBV, was equal to 7,090 ng/ml (Supplementary Table ), leading to a median predicted hemoglobin level at steady state, Hbss, of 10.0 g/dl (7.8–11.8) (10.6 g/dl (7.8–11.6) in the telaprevir group and 9.1 g/dl (8.0–11.8) in the boceprevir group, P = 0.5). This corresponds to a median predicted change in hemoglobin level of 4.4 g/dl (2.1–6.6) (4.2 g/dl (2.1–5.5) in the telaprevir group and 4.9 g/dl (3.3-6.6) in the boceprevir group, P = 0.4). Figure 1 shows the relationship between individual predicted RBV concentration at steady state (CssRBV) and effect (blocking production of hemoglobin). For the six patients (40%) who had Hbss <10 g/dl (Table 1), the model predicted that a median RBV dose reduction of 373 mg/day (45–670) would be needed to avoid anemia corresponding to a median dose reduction of 31% (4–67).
Figure 1

Relationship between: (a) RBV predicted trough serum concentration at steady state (Css) and predicted blocking production of hemoglobin () and (b) Peg-IFN predicted trough concentration at steady state (Css) and predicted blocking production of platelets (). Nine patients in the telaprevir group in a (black) and six patients in the boceprevir group (gray). Eleven patients in the Peg-IFN-α2a group in b (black) and three patients in the Peg-IFN-α2b group (gray). The lines denote the predictions with the mean blocking production and the dotted lines denote 95% confidence interval computed with the standard errors predicted by the Fisher Information Matrix.

Table 1

Individual parameter estimates of the RBV-induced anemia model (Hb0, CssRBV, and Hbss) and proposed RBV dosage modifications for Hbss ≥10 g/dl and the Peg-IFN-induced thrombocytopenia model (PLT0, CssPeg-IFN, and PLTss) and proposed Peg-IFN dosage modifications for PLTss ≥50,000/mm3

PatientTreatment group PITreatment group Peg-IFNRBV bid dose (mg/day)Hb0 (g/dl)CssRBV (ng/ml)Hbss (g/dl)Adjusted RBV dose for targeting Hbss ≥10 g/dl (mg/day)Peg-IFN dose (μg/week)PLT0 (/mm3)CssPeg-IFN (ng/ml)PLTss (/mm3)Adjusted Peg-IFN dose for targeting PLTss ≥50,000/mm3 (μg/week)
1Boceprevir2b1,00015.52,8279.2807100162,06055.3108,301
2Boceprevir2a1,20015.13,8748.4781180193,48052.8121,874
3Boceprevir2a1,20014.43,1629.0874180105,61054.066,173
4Boceprevir2b1,00011.43,0928.033010048,073*55.431,402
5Boceprevir2b1,20015.42,42811.810088,98157.959,999
6Boceprevir2a1,00015.83,82011.4180228,62096.7120,264
7Telaprevir2a1,00012.82,8757.8439135123,540107.156,680
8Telaprevir2a1,20015.32,7469.91,154180130,52089.667,922
9Telaprevir2a1,00014.22,60210.718076,23282.643,486125
10Telaprevir2a1,20015.32,67810.6180116,48076.467,267
11Telaprevir2a1,00014.23,00810.0180165,530110.485,613
12Telaprevir2a1,00013.12,79311.0180134,96097.274,015
13Telaprevir2a1,20015.22,95811.618072,75887.840,545103
14Telaprevir1,20013.222,86010.6
15Telaprevir2a1,00015.42,62110.118084,86394.239,365109

Hb0, baseline hemoglobin level; PLT0, baseline platelet counts; CssRBV, steady state trough ribavirin (RBV) plasma concentrations; CssPeg-IFN, steady state trough pegylated interferon (Peg-IFN) plasma concentrations; Hbss, hemoglobin level at steady state (in bold if <10 g/dl); PLTss, platelets count at steady state (in bold if <50,000/mm3).

One patient had a baseline platelet count <50,000/mm3.

Individual parameter estimates of the RBV-induced anemia model (Hb0, CssRBV, and Hbss) and proposed RBV dosage modifications for Hbss ≥10 g/dl and the Peg-IFN-induced thrombocytopenia model (PLT0, CssPeg-IFN, and PLTss) and proposed Peg-IFN dosage modifications for PLTss ≥50,000/mm3 Hb0, baseline hemoglobin level; PLT0, baseline platelet counts; CssRBV, steady state trough ribavirin (RBV) plasma concentrations; CssPeg-IFN, steady state trough pegylated interferon (Peg-IFN) plasma concentrations; Hbss, hemoglobin level at steady state (in bold if <10 g/dl); PLTss, platelets count at steady state (in bold if <50,000/mm3). One patient had a baseline platelet count <50,000/mm3. Relationship between: (a) RBV predicted trough serum concentration at steady state (Css) and predicted blocking production of hemoglobin () and (b) Peg-IFN predicted trough concentration at steady state (Css) and predicted blocking production of platelets (). Nine patients in the telaprevir group in a (black) and six patients in the boceprevir group (gray). Eleven patients in the Peg-IFN-α2a group in b (black) and three patients in the Peg-IFN-α2b group (gray). The lines denote the predictions with the mean blocking production and the dotted lines denote 95% confidence interval computed with the standard errors predicted by the Fisher Information Matrix.

Peg-IFN-induced thrombocytopenia modeling

Median baseline platelet counts were 125,500/mm3 (39,000–230,000) (126,000/mm3 (67,000–230,000) in Peg-IFN-α2a patients and 80,000/mm3 (39,000–161,000) in Peg-IFN-α2b patients, P = 0.4). The platelet counts decreased over time in all patients (Supplementary Figures ) and could be well captured by our model (Supplementary Figure ). Adding the other drugs (RBV and PIs) did not improve the fit of the data. The model predicted that the concentration leading to a 50% blocking effectiveness of Peg-IFN in blocking platelets production, IC50Peg-IFN, was equal to 104 ng/ml (Supplementary Table ), leading to a median predicted platelet counts at steady state, PLTss, of 66,720/mm3 (31,400–121,900) (67,270/mm3 (39,370–121,900) in Peg-IFN-α2a patients and 60,000/mm3 (31,400–108,300) in Peg-IFN-α2b patients, P = 0.7), corresponding to a median predicted change in platelet counts of 51,490/mm3 (16,670–108,400) (60,940/mm3 (32,210–108,400) in the Peg-IFN-α2a group and 28,980/mm3 (16,670–53,760) in the Peg-IFN-α2b group, P = 0.09). Figure 1 shows the relationship between individual Peg-IFN concentration (CssPeg-IFN) and effect (blocking production of platelets). Four patients out of 14 (29%) had predicted PLTss <50,000/mm3 using the current dose or Peg-IFN, but one patient had a baseline PLT below 50,000/mm3 (Table 1). For these three patients the model predicted that a median Peg-IFN dose reduction of 37 μg/week (25–37) would be needed to avoid thrombocytopenia, corresponding to a median dose reduction of 60% (57–70).

Towards an approach integrating efficacy and toxicity

The increasing availability of highly effective treatment holds the promise that high rates of sustained virological response (SVR) with lower toxicity can be reached. However, the CUPIC study reporting an incidence of 34.1% and 17.0% for grade 2–4 anemia and grade 3–4 thrombocytopenia, respectively,1,2 should serve as a reminder that safety may remain an important concern in HCV treatment management, in particular in patients with advanced liver disease whose prevalence in real life is larger than in clinical trials. Using a model to relate anemia and thrombocytopenia to RBV and Peg-IFN exposure, respectively, we predicted that a dose reduction of RBV and Peg-IFN in 40% and 30% of patients, respectively, would have been needed to avoid toxicity. This would correspond to a median dose reduction of 31% and 60% for RBV and Peg-IFN, respectively. These adjusted RBV and Peg-IFN doses are not practical to administer in actual clinical practice. But here we explore the feasibility and provide an order of magnitude of the amplitude of dose reduction to avoid the occurrence of toxicity. Because both RBV and Peg-IFN have modest effectiveness against HCV, at least in the first weeks of treatment, where most viruses are sensitive to PIs,3 this dose reduction is unlikely to have a significant impact on the early viral kinetics. Consistent with this prediction, Poordad et al. showed in a randomized clinical trial that reduction in RBV dosage (up to 50% of the initial amount) throughout the course of triple therapy did not affect SVR rates.4 Clearly, the small sample size of our population is the main limitation of the study. The lack of statistical power may explain the lack of any significant effect of PI exposure on hemoglobin level and platelet count kinetics.5,6 It is well known that RBV causes mainly dose-dependent hemolytic anemia, leading to a reduction in the hemoglobin level,7 whereas Peg-IFN induces mainly suppression of hematopoiesis, leading to a reduction in platelet counts.8 This small population also constrained us to analyze the effects of RBV and Peg-IFN separately and independently and we could not evaluate the effect association between the two effects, such as the fact that the bone marrow suppressive effect of Peg-IFN may also contribute to the associated anemia.9 Both RBV and Peg-IFN concentrations were close to an inhibition effect in hemoglobin level and platelet counts, respectively, equal to 50%. Interestingly, we previously reported that Peg-IFN concentrations in this population also led to an antiviral effect in blocking viral production close to 50%.3 The fact that Peg-IFN concentrations led to comparable levels of efficacy and toxicity suggests that Peg-IFN has a particularly narrow therapeutic index and reinforces the interest of Peg-IFN therapeutic monitoring in this population. Of note, it should be acknowledged that the effects of RBV and Peg-IFN were described by turnover indirect models with a maximum inhibition of 100% and more data will be needed to evaluate this assumption. In conclusion, by showing that the serum PK of RBV and Peg-IFN can be used to characterize the kinetics of hemoglobin level and platelet counts, respectively, this study suggests that individual monitoring of the drug concentrations may improve the management of anti-HCV therapy. This approach, combined with a viral kinetic model that can tease out the effect of each drug on the virologic response,3 holds the promise that integrated model-based approaches could optimize the trade-off between the efficacy and safety of triple therapy. However, this approach will need to be validated on large populations.

Patients and data

MODCUPIC is a substudy of the French ANRS-CO20-CUPIC cohort.3 From September 2011 to September 2012, patients chronically monoinfected with HCV genotype 1, compensated cirrhosis, nonresponders to a prior IFN-based therapy, and who started triple therapy were recruited. Telaprevir-based therapy included 12 weeks of telaprevir (750 mg tid) with Peg-IFN-α2a (180 μg/week) and RBV (1,000 or 1,200 mg/day, depending on body weight), then 36 weeks of Peg-IFN-α2a/RBV. Boceprevir-based therapy included 4 weeks (lead-in phase) of Peg-IFN-α2b (1.5 μg/kg/week) or Peg-IFN-α2a (180 μg/week) and RBV (800 or 1,400 mg/day, depending on body weight), then 44 weeks of Peg-IFN-α2b/RBV and boceprevir (800 mg tid). Written informed consent was obtained before enrollment. The protocol was approved by the Ile-de-France IX Ethics Committee (Créteil, France). Blood samples were collected post-PIs initiation at hours 0, 8, days 0, 1, 2, 3, and weeks 1, 2, 3, 4, 8, and 12. There were two additional visits during the boceprevir lead-in phase. Details of bioanalytical methods are available in Laouénan et al.3

Pharmacokinetic and pharmacodynamic model

We assumed that the changes in hemoglobin level and platelet counts were mainly driven by RBV and Peg-IFN concentrations, respectively.10 The effects of RBV and Peg-IFN were described by turnover indirect models assuming a maximum inhibition of 100% given by: where Hb0 (PLT0) is the baseline level of hemoglobin (platelet counts), koutHb (koutPLT) is the rate constant of hemoglobin (platelets) elimination, "safety" IC50RBV (IC50Peg-IFN) is the half maximal effective RBV (Peg-IFN) concentration, and CRBV(t) (CPeg-IFN(t)) is the trough concentration predicted by a PK model previously developed.3 In brief, CRBV(t) and CPeg-IFN(t) were fitted using an exponential model to obtain the trough concentration at steady state CssRBV and CssPeg-IFN. We assumed a linear PK for both drugs.

Data analysis and parameter estimation

Wilcoxon tests were used to compare baseline hemoglobin level (boceprevir vs. telaprevir) and baseline platelet counts (Peg-IFN-α2a vs. -2b). Parameters (Hb0, PLT0, koutPLT, koutHb, IC50Peg-IFN, IC50RBV) were estimated using longitudinal data analyzed by nonlinear mixed-effect models with the Stochastic Approximation Expectation Minimization (SAEM) algorithm in MONOLIX v. 4.2 (http://www.lixoft.eu), assuming exponential random effects models and additive error models. The model codes and example datasets are provided in the Supplementary Materials online. Model evaluation was performed using goodness-of-fit plots, as well as the individual weighted residuals (IWRES) and the normalized prediction distribution errors (NPDE) over time. Wald tests on Hb0 and IC50RBV were used to assess the influence of gender for RBV-induced anemia. We also tested using the Bayesian information criteria whether the addition of other drug had an effect in each model.

Prediction of individual dosage regimen avoiding toxicity

Maximum a posteriori was used to obtain individual Empirical Bayesian Estimates (EBE). For each patient, from the EBEs, hemoglobin level and platelet counts at steady state, Hbss and PLTss, was obtained as: where and represent the blocking production of hemoglobin and platelets, respectively. Wilcoxon tests were used to compare Hbss and PLTss between treatment groups. If Hbss was predicted below 10 g/dl, the maximum dose of RBV leading to Hbss ≥10g/dl was calculated. If PLTss was predicted below 50,000/mm3, the maximum dose of Peg-IFN leading to PLTss ≥50,000/mm3 was calculated.
  10 in total

1.  Using pharmacokinetic and viral kinetic modeling to estimate the antiviral effectiveness of telaprevir, boceprevir, and pegylated interferon during triple therapy in treatment-experienced hepatitis C virus-infected cirrhotic patients.

Authors:  Cédric Laouénan; Patrick Marcellin; Martine Lapalus; Feryel Khelifa-Mouri; Nathalie Boyer; Fabien Zoulim; Lawrence Serfaty; Jean-Pierre Bronowicki; Michelle Martinot-Peignoux; Olivier Lada; Tarik Asselah; Céline Dorival; Christophe Hézode; Fabrice Carrat; Florence Nicot; Gilles Peytavin; France Mentré; Jeremie Guedj
Journal:  Antimicrob Agents Chemother       Date:  2014-06-30       Impact factor: 5.191

2.  Boceprevir for previously treated chronic HCV genotype 1 infection.

Authors:  Bruce R Bacon; Stuart C Gordon; Eric Lawitz; Patrick Marcellin; John M Vierling; Stefan Zeuzem; Fred Poordad; Zachary D Goodman; Heather L Sings; Navdeep Boparai; Margaret Burroughs; Clifford A Brass; Janice K Albrecht; Rafael Esteban
Journal:  N Engl J Med       Date:  2011-03-31       Impact factor: 91.245

3.  Hemolytic anemia induced by ribavirin therapy in patients with chronic hepatitis C virus infection: role of membrane oxidative damage.

Authors:  L De Franceschi; G Fattovich; F Turrini; K Ayi; C Brugnara; F Manzato; F Noventa; A M Stanzial; P Solero; R Corrocher
Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

4.  Telaprevir for retreatment of HCV infection.

Authors:  Stefan Zeuzem; Pietro Andreone; Stanislas Pol; Eric Lawitz; Moises Diago; Stuart Roberts; Roberto Focaccia; Zobair Younossi; Graham R Foster; Andrzej Horban; Peter Ferenci; Frederik Nevens; Beat Müllhaupt; Paul Pockros; Ruben Terg; Daniel Shouval; Bart van Hoek; Ola Weiland; Rolf Van Heeswijk; Sandra De Meyer; Don Luo; Griet Boogaerts; Ramon Polo; Gaston Picchio; Maria Beumont
Journal:  N Engl J Med       Date:  2011-06-23       Impact factor: 91.245

Review 5.  Usefulness of monitoring ribavirin plasma concentrations to improve treatment response in patients with chronic hepatitis C.

Authors:  Judit Morello; Sonia Rodríguez-Novoa; Inmaculada Jiménez-Nácher; Vincent Soriano
Journal:  J Antimicrob Chemother       Date:  2008-10-17       Impact factor: 5.790

6.  Effects of ribavirin dose reduction vs erythropoietin for boceprevir-related anemia in patients with chronic hepatitis C virus genotype 1 infection--a randomized trial.

Authors:  Fred Poordad; Eric Lawitz; K Rajender Reddy; Nezam H Afdhal; Christophe Hézode; Stefan Zeuzem; Samuel S Lee; Jose Luis Calleja; Robert S Brown; Antonio Craxi; Heiner Wedemeyer; Lisa Nyberg; David R Nelson; Lorenzo Rossaro; Luis Balart; Timothy R Morgan; Bruce R Bacon; Steven L Flamm; Kris V Kowdley; Weiping Deng; Kenneth J Koury; Lisa D Pedicone; Frank J Dutko; Margaret H Burroughs; Katia Alves; Janice Wahl; Clifford A Brass; Janice K Albrecht; Mark S Sulkowski
Journal:  Gastroenterology       Date:  2013-08-04       Impact factor: 22.682

7.  Triple therapy in treatment-experienced patients with HCV-cirrhosis in a multicentre cohort of the French Early Access Programme (ANRS CO20-CUPIC) - NCT01514890.

Authors:  Christophe Hézode; Hélène Fontaine; Céline Dorival; Dominique Larrey; Fabien Zoulim; Valérie Canva; Victor de Ledinghen; Thierry Poynard; Didier Samuel; Marc Bourlière; Jean-Pierre Zarski; Jean-Jacques Raabe; Laurent Alric; Patrick Marcellin; Ghassan Riachi; Pierre-Henri Bernard; Véronique Loustaud-Ratti; Sophie Métivier; Albert Tran; Lawrence Serfaty; Armand Abergel; Xavier Causse; Vincent Di Martino; Dominique Guyader; Damien Lucidarme; Véronique Grando-Lemaire; Patrick Hillon; Cyrille Feray; Thong Dao; Patrice Cacoub; Isabelle Rosa; Pierre Attali; Ventzislava Petrov-Sanchez; Yoann Barthe; Jean-Michel Pawlotsky; Stanislas Pol; Fabrice Carrat; Jean-Pierre Bronowicki
Journal:  J Hepatol       Date:  2013-05-10       Impact factor: 25.083

Review 8.  Management of thrombocytopenia due to liver cirrhosis: a review.

Authors:  Hiromitsu Hayashi; Toru Beppu; Ken Shirabe; Yoshihiko Maehara; Hideo Baba
Journal:  World J Gastroenterol       Date:  2014-03-14       Impact factor: 5.742

9.  Effectiveness of telaprevir or boceprevir in treatment-experienced patients with HCV genotype 1 infection and cirrhosis.

Authors:  Christophe Hézode; Helene Fontaine; Celine Dorival; Fabien Zoulim; Dominique Larrey; Valerie Canva; Victor De Ledinghen; Thierry Poynard; Didier Samuel; Marc Bourliere; Laurent Alric; Jean-Jacques Raabe; Jean-Pierre Zarski; Patrick Marcellin; Ghassan Riachi; Pierre-Henri Bernard; Veronique Loustaud-Ratti; Olivier Chazouilleres; Armand Abergel; Dominique Guyader; Sophie Metivier; Albert Tran; Vincent Di Martino; Xavier Causse; Thong Dao; Damien Lucidarme; Isabelle Portal; Patrice Cacoub; Jerome Gournay; Veronique Grando-Lemaire; Patrick Hillon; Pierre Attali; Thierry Fontanges; Isabelle Rosa; Ventzislava Petrov-Sanchez; Yoann Barthe; Jean-Michel Pawlotsky; Stanislas Pol; Fabrice Carrat; Jean-Pierre Bronowicki
Journal:  Gastroenterology       Date:  2014-04-03       Impact factor: 22.682

10.  Anemia in the treatment of hepatitis C virus infection.

Authors:  Mark S Sulkowski
Journal:  Clin Infect Dis       Date:  2003       Impact factor: 9.079

  10 in total
  2 in total

1.  Prospective observational study on the pharmacokinetic properties of the Irrua ribavirin regimen used in routine clinical practice in patients with Lassa fever in Nigeria.

Authors:  Cyril Erameh; Osahogie Edeawe; Peter Akhideno; Gloria Eifediyi; Till F Omansen; Christine Wagner; Francisca Sarpong; Till Koch; Sebastian Wicha; Florian Kurth; Sophie Duraffour; Lisa Oestereich; Meike Pahlmann; Sylvanus Okogbenin; Ephraim Ogbaini-Emovon; Stephan Günther; Michael Ramharter; Mirjam Groger
Journal:  BMJ Open       Date:  2020-04-16       Impact factor: 2.692

Review 2.  HCV Kinetic Models and Their Implications in Drug Development.

Authors:  Tht Nguyen; J Guedj
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-04-17
  2 in total

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