Evidence map›Paper›PMID 29948848›Full record

Trial reportEuropean journal of drug metabolism and pharmacokinetics2019

Bayesian Population Pharmacokinetic Modeling of Eltrombopag in Chronic Hepatitis C Patients.

Mohammad I Saleh, Suhad Bani Melhim, Hanguin M Al-Ramadhani, Sameh Alzubiedi

Abstract readClinical TrialMulticenter Study
PubMed Publisher
In one paragraph

Trial report in European journal of drug metabolism and pharmacokinetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohammad I SalehSchool of Pharmacy, The University of Jordan, Amman, 11942, Jordan. moh.saleh@ju.edu.jo.ORCID http://orcid.org/0000-0002-6382-4774
Suhad Bani MelhimSchool of Pharmacy, The University of Jordan, Amman, 11942, Jordan.
Hanguin M Al-RamadhaniSchool of Pharmacy, The University of Jordan, Amman, 11942, Jordan.
Sameh AlzubiediSchool of Pharmacy, The University of Jordan, Amman, 11942, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesEltrombopag is a thrombopoietic growth factor that is approved for the treatment of thrombocytopenia in chronic hepatitis C virus (HCV) patients. We aimed to describe eltrombopag population pharmacokinetics in hepatitis C patients. Bayesian statistical approach will be applied to screen for patients' characteristics associated with eltrombopag pharmacokinetic parameters.

methodsA population pharmacokinetic analysis was conducted using WinBUGS version 1.4.3. Data from 483 individuals with chronic HCV infection were analyzed. This analysis is a secondary analysis of two clinical studies (ENABLE1 and ENABLE2) sponsored by GlaxoSmithKline. Several patients' characteristics were examined as possible covariates of the population pharmacokinetic model. Prior information from previous studies was incorporated in the bayesian model as prior distribution to estimate pharmacokinetic parameters.

resultsA two-compartment pharmacokinetic model with first-order absorption with exponential error model best fit the data. We identified East Asian race and total bilirubin level as predictors of eltrombopag clearance. Typical value for distributional clearance was 0.762 L/h (95% Bayesian credible set, 0.703-0.826), for volume of distribution of the central and peripheral compartments were 12 L (10.9-13.4) and 10.9 L (10.4-11.5), and for absorption lag time was 0.947 h (0.918-0.977). Assuming an average total bilirubin of 21.7 µmol/L, the typical elimination clearance value for an East Asian patient was 0.14 L/h and for other races was 0.20 L/h.

conclusionsEltrombopag pharmacokinetic behavior was described using population bayesian approach. This model can be applied to optimize eltrombopag dosing in order to reduce the incidence of thrombocytopenia in HCV-infected patient receiving interferon-based therapy.

Indexed as

Models, BiologicalAntiviral AgentsBayes TheoremBenzoatesFemaleHepatitis C, ChronicHumansHydrazinesMaleMiddle AgedPyrazolesThrombocytopeniaAntiviral AgentsBenzoateseltrombopagHydrazinesPyrazoles

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.