Literature DB >> 28290120

Development of a Pediatric Physiologically-Based Pharmacokinetic Model of Clindamycin Using Opportunistic Pharmacokinetic Data.

Christoph P Hornik1,2, Huali Wu3, Andrea N Edginton4, Kevin Watt5,3, Michael Cohen-Wolkowiez5,3, Daniel Gonzalez6.   

Abstract

Physiologically-based pharmacokinetic (PBPK) modeling is a powerful tool used to characterize maturational changes in drug disposition to inform dosing across childhood; however, its use is limited in pediatric drug development. Access to pediatric pharmacokinetic data is a barrier to widespread application of this model, which impedes its development and optimization. To support the development of a pediatric PBPK model, we sought to leverage opportunistically-collected plasma concentrations of the commonly used antibiotic clindamycin. The pediatric PBPK model was optimized following development of an adult PBPK model that adequately described literature data. We evaluated the predictability of the pediatric population PBPK model across four age groups and found that 63-93% of the observed data were captured within the 90% prediction interval of the model. We then used the pediatric PBPK model to optimize intravenous clindamycin dosing for a future prospective validation trial. The optimal dosing proposed by this model was 9 mg/kg/dose in children ≤5 months of age, 12 mg/kg/dose in children >5 months-6 years of age, and 10 mg/kg/dose in children 6-18 years of age, all administered every 8 h. The simulated exposures achieved with the dosing regimen proposed were comparable with adult plasma and tissue exposures for the treatment of community-acquired methicillin-resistant Staphylococcus aureus infections. Our model demonstrated the feasibility of using opportunistic pediatric data to develop pediatric PBPK models, extending the reach of this powerful modeling tool and potentially transforming the pediatric drug development field.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28290120      PMCID: PMC5597447          DOI: 10.1007/s40262-017-0525-5

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   5.577


  38 in total

1.  [The plasma-protein-binding of Clindamycin Cephazolin and Cephradin in neonates and adults (author's transl)].

Authors:  D Kiosz; C Simon; V Malerczyk
Journal:  Klin Padiatr       Date:  1975-01       Impact factor: 1.349

Review 2.  Whole body physiologically-based pharmacokinetic models: their use in clinical drug development.

Authors:  Andrea N Edginton; Frank-Peter Theil; Walter Schmitt; Stefan Willmann
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-09       Impact factor: 4.481

3.  Regulatory experience with physiologically based pharmacokinetic modeling for pediatric drug trials.

Authors:  R Leong; M L T Vieira; P Zhao; Y Mulugeta; C S Lee; S-M Huang; G J Burckart
Journal:  Clin Pharmacol Ther       Date:  2012-05       Impact factor: 6.875

4.  Pharmacokinetic evaluation of two dosage regimens of clindamycin phosphate.

Authors:  K I Plaisance; G L Drusano; A Forrest; R J Townsend; H C Standiford
Journal:  Antimicrob Agents Chemother       Date:  1989-05       Impact factor: 5.191

5.  Maturation and growth of renal function: dosing renally cleared drugs in children.

Authors:  W L Hayton
Journal:  AAPS PharmSci       Date:  2000

6.  Development and evaluation of a generic physiologically based pharmacokinetic model for children.

Authors:  Andrea N Edginton; Walter Schmitt; Stefan Willmann
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

7.  Clinical practice guidelines by the infectious diseases society of america for the treatment of methicillin-resistant Staphylococcus aureus infections in adults and children: executive summary.

Authors:  Catherine Liu; Arnold Bayer; Sara E Cosgrove; Robert S Daum; Scott K Fridkin; Rachel J Gorwitz; Sheldon L Kaplan; Adolf W Karchmer; Donald P Levine; Barbara E Murray; Michael J Rybak; David A Talan; Henry F Chambers
Journal:  Clin Infect Dis       Date:  2011-02-01       Impact factor: 9.079

8.  A workflow example of PBPK modeling to support pediatric research and development: case study with lorazepam.

Authors:  A R Maharaj; J S Barrett; A N Edginton
Journal:  AAPS J       Date:  2013-01-24       Impact factor: 4.009

9.  Activity of clindamycin against Staphylococcus aureus and Staphylococcus epidermidis from four UK centres.

Authors:  D S Reeves; H A Holt; I Phillips; A King; R S Miles; R Paton; R Wise; J M Andrews
Journal:  J Antimicrob Chemother       Date:  1991-04       Impact factor: 5.790

10.  Population pharmacokinetics of metronidazole evaluated using scavenged samples from preterm infants.

Authors:  Michael Cohen-Wolkowiez; Daniele Ouellet; P Brian Smith; Laura P James; Ashley Ross; Janice E Sullivan; Michele C Walsh; Arlene Zadell; Nancy Newman; Nicole R White; Angela D M Kashuba; Daniel K Benjamin
Journal:  Antimicrob Agents Chemother       Date:  2012-01-17       Impact factor: 5.191

View more
  17 in total

Review 1.  State-of-the-Art Review on Physiologically Based Pharmacokinetic Modeling in Pediatric Drug Development.

Authors:  Venkata Yellepeddi; Joseph Rower; Xiaoxi Liu; Shaun Kumar; Jahidur Rashid; Catherine M T Sherwin
Journal:  Clin Pharmacokinet       Date:  2019-01       Impact factor: 6.447

2.  Physiologically Based Pharmacokinetic Modeling for Trimethoprim and Sulfamethoxazole in Children.

Authors:  Elizabeth J Thompson; Huali Wu; Anil Maharaj; Andrea N Edginton; Stephen J Balevic; Marjan Cobbaert; Anthony P Cunningham; Christoph P Hornik; Michael Cohen-Wolkowiez
Journal:  Clin Pharmacokinet       Date:  2019-07       Impact factor: 6.447

Review 3.  Toward precision medicine in pediatric population using cytochrome P450 phenotyping approaches and physiologically based pharmacokinetic modeling.

Authors:  Gaëlle Magliocco; Frédérique Rodieux; Jules Desmeules; Caroline Flora Samer; Youssef Daali
Journal:  Pediatr Res       Date:  2019-10-10       Impact factor: 3.756

4.  Physiologically Based Population Pharmacokinetic Modeling Approach for Ciprofloxacin in Bone of Patients Undergoing Orthopedic Surgery.

Authors:  Cornelia B Landersdorfer; Martina Kinzig; Rainer Höhl; Peter Kempf; Roger L Nation; Fritz Sörgel
Journal:  ACS Pharmacol Transl Sci       Date:  2020-05-25

5.  Mind the Gaps: Ontogeny of Human Brain P-gp and Its Impact on Drug Toxicity.

Authors:  Jean-Marie Nicolas; Elizabeth C M de Lange
Journal:  AAPS J       Date:  2019-05-28       Impact factor: 4.009

Review 6.  Incorporating Ontogeny in Physiologically Based Pharmacokinetic Modeling to Improve Pediatric Drug Development: What We Know About Developmental Changes in Membrane Transporters.

Authors:  Kit Wun Kathy Cheung; Bianca D van Groen; Gilbert J Burckart; Lei Zhang; Saskia N de Wildt; Shiew-Mei Huang
Journal:  J Clin Pharmacol       Date:  2019-09       Impact factor: 3.126

Review 7.  Clinical pharmacology considerations for children supported with ventricular assist devices.

Authors:  Jennifer Sherwin; Elizabeth Thompson; Kevin D Hill; Kevin Watt; Andrew J Lodge; Daniel Gonzalez; Christoph P Hornik
Journal:  Cardiol Young       Date:  2018-07-11       Impact factor: 1.093

8.  Pitfalls of using numerical predictive checks for population physiologically-based pharmacokinetic model evaluation.

Authors:  Anil R Maharaj; Huali Wu; Christoph P Hornik; Michael Cohen-Wolkowiez
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-04-23       Impact factor: 2.410

Review 9.  The Role of PK/PD Analysis in the Development and Evaluation of Antimicrobials.

Authors:  Alicia Rodríguez-Gascón; María Ángeles Solinís; Arantxa Isla
Journal:  Pharmaceutics       Date:  2021-06-03       Impact factor: 6.321

Review 10.  Innovative Study Designs Optimizing Clinical Pharmacology Research in Infants and Children.

Authors:  Stephen J Balevic; Michael Cohen-Wolkowiez
Journal:  J Clin Pharmacol       Date:  2018-10       Impact factor: 2.860

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.