Literature DB >> 11468942

Population pharmacokinetic analysis and optimization of the experimental design for mizolastine solution in children.

F Mentré1, C Dubruc, J P Thénot.   

Abstract

Mizolastine is a second generation antihistamine agent approved in Europe for the treatment of allergic rhinitis and skin conditions for which Sanofi-Synthélabo is developing a pediatric solution. Our objective was to design the population pharmacokinetic (PK) study of mizolastine pediatric solution in children. A bioavailability study of this solution compared to the marketed tablet was performed in 18 young volunteers. These PK data were analyzed by nonlinear regression using a two-compartment open model with zero-order absorption. From the estimated parameters, we designed population PK studies in two groups of children: 6 to 12 years and 2 to 6 years, respectively. To compare several population designs and to derive the optimal ones, we used the determinant of the Fisher information matrix of the population characteristics using a first-order expansion of the model. We have evaluated a "reference" population design with 10 samples (from 0.25 to 36 hr after drug intake) per child in 6 children, which could not be implemented in practice for ethical reasons. We then derived optimal population designs with 1, 2, 3, 4, or 5 samples per child and a total of 60 samples. Finally, the designs that were implemented in the population PK study were "compromise" population designs with 60 samples; one defined for 20 children 6 to 12 years old, and one with 24 children 2 to 6 years. In the older group, the population design involved 8 children with a catheter from which 6 samples at time 0.25, 0.5, 0.75, 2, 3, and 6 hr after drug intake are collected, and 12 children with only one sample at time 8, 12, 24, or 36 hr. In the younger group, the population design involved 15 children with a catheter who are divided in three groups with four samples at different times from 0.25 to 6 hr after drug intake, and 12 children with only one sample at time 8, 12, 18, or 24 hr. The expected average increase of variances of these designs compared to the reference design were 1.6 and 1.8 for the older and younger group, respectively, which was decided to be acceptable. Better population designs would have involved three groups of children with five samples per child but could not be implemented in practice. The data of the PK study in children 6 to 12 years were available and were analyzed using NONMEM. A total of 53 concentrations were obtained in 18 children. The same two-compartment model with zero-order absorption was used. The interindividual variability in children was small. The estimated population parameters in children 6 to 12 years, were 0.28 L/kg for Vc/F, 0.10 L/hr per kg for CL/F, 0.53 hr-1 for lambda 1, 0.076 hr-1 for lambda 2, and 0.49 hr for Tabs. These values were close to the median values observed in young volunteers when standardized to 70 kg; notably, CL/F in L/hr per kg was similar, so that a dose of 0.15 mg/kg o.d. for mizolastine pediatric solution should give an equivalent area under the curve to a 10 mg o.d. tablet in adults.

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Year:  2001        PMID: 11468942     DOI: 10.1023/a:1011583210549

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  7 in total

1.  Development and implementation of the population Fisher information matrix for the evaluation of population pharmacokinetic designs.

Authors:  S Retout; S Duffull; F Mentré
Journal:  Comput Methods Programs Biomed       Date:  2001-05       Impact factor: 5.428

2.  Robust optimal design for the estimation of hyperparameters in population pharmacokinetics.

Authors:  M Tod; F Mentré; Y Merlé; A Mallet
Journal:  J Pharmacokinet Biopharm       Date:  1998-12

3.  Regulations requiring manufacturers to assess the safety and effectiveness of new drugs and biological products in pediatric patients--FDA. Final rule.

Authors: 
Journal:  Fed Regist       Date:  1998-12-02

4.  CONJUGATION REACTIONS IN THE NEWBORN INFANT: THE METABOLISM OF PARA-AMINOBENZOIC ACID.

Authors:  M F VEST; R SALZBERG
Journal:  Arch Dis Child       Date:  1965-02       Impact factor: 3.791

5.  Population pharmacokinetic analysis of mizolastine and validation from sparse data on patients using the nonparametric maximum likelihood method.

Authors:  F Mesnil; F Mentré; C Dubruc; J P Thénot; A Mallet
Journal:  J Pharmacokinet Biopharm       Date:  1998-04

6.  Pharmacokinetic analysis of mizolastine in healthy young volunteers after single oral and intravenous doses: noncompartmental approach and compartmental modeling.

Authors:  F Mesnil; C Dubruc; F Mentre; S Huet; A Mallet; J P Thenot
Journal:  J Pharmacokinet Biopharm       Date:  1997-04

7.  Alternative approaches to estimation of population pharmacokinetic parameters: comparison with the nonlinear mixed-effect model.

Authors:  J L Steimer; A Mallet; J L Golmard; J F Boisvieux
Journal:  Drug Metab Rev       Date:  1984       Impact factor: 4.518

  7 in total
  17 in total

1.  Optimization of individual and population designs using Splus.

Authors:  Sylvie Retout; France Mentré
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-12       Impact factor: 2.745

2.  Designing a Pediatric Study for an Antimalarial Drug by Using Information from Adults.

Authors:  Caroline Petit; Vincent Jullien; Adeline Samson; Jérémie Guedj; Jean-René Kiechel; Sarah Zohar; Emmanuelle Comets
Journal:  Antimicrob Agents Chemother       Date:  2015-12-28       Impact factor: 5.191

3.  Robust population pharmacokinetic experiment design.

Authors:  Michael G Dodds; Andrew C Hooker; Paolo Vicini
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-02       Impact factor: 2.745

4.  Optimal blood sampling time windows for parameter estimation using a population approach: design of a phase II clinical trial.

Authors:  Marylore Chenel; Kayode Ogungbenro; Vincent Duval; Christian Laveille; Roeline Jochemsen; Leon Aarons
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-12       Impact factor: 2.745

5.  Simultaneous population optimal design for pharmacokinetic-pharmacodynamic experiments.

Authors:  Andrew Hooker; Paolo Vicini
Journal:  AAPS J       Date:  2005-11-01       Impact factor: 4.009

6.  Drug-drug interaction predictions with PBPK models and optimal multiresponse sampling time designs: application to midazolam and a phase I compound. Part 1: comparison of uniresponse and multiresponse designs using PopDes.

Authors:  Marylore Chenel; François Bouzom; Leon Aarons; Kayode Ogungbenro
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-01-07       Impact factor: 2.745

7.  Optimal sampling times for a drug and its metabolite using SIMCYP(®) simulations as prior information.

Authors:  Cyrielle Dumont; France Mentré; Clare Gaynor; Karl Brendel; Charlotte Gesson; Marylore Chenel
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

8.  Development of a sufficient design for estimation of fluconazole pharmacokinetics in people with HIV infection.

Authors:  Juliana F Roos; Carl M J Kirkpatrick; Susan E Tett; Andrew J McLachlan; Stephen B Duffull
Journal:  Br J Clin Pharmacol       Date:  2008-06-28       Impact factor: 4.335

9.  Prospective evaluation of a D-optimal designed population pharmacokinetic study.

Authors:  Bruce Green; Stephen B Duffull
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-04       Impact factor: 2.745

10.  Towards optimal design of anti-malarial pharmacokinetic studies.

Authors:  Julie A Simpson; Kris M Jamsen; Ric N Price; Nicholas J White; Niklas Lindegardh; Joel Tarning; Stephen B Duffull
Journal:  Malar J       Date:  2009-08-06       Impact factor: 2.979

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