Literature DB >> 34185913

Pediatric Drug-Drug Interaction Evaluation: Drug, Patient Population, and Methodological Considerations.

Daniel Gonzalez1, Jaydeep Sinha1.   

Abstract

Hospitalized pediatric patients and those with complex or chronic conditions treated on an outpatient basis are commonly prescribed multiple drugs, resulting in increased risk for drug-drug interactions (DDIs). Although dedicated DDI evaluations are routinely performed in healthy adult volunteers during drug development, they are rarely performed in pediatric patients because of ethical, logistical, and methodological challenges. In the absence of pediatric DDI evaluations, adult DDI data are often extrapolated to pediatric patients. However, the magnitude of a DDI in pediatric patients may differ from adults because of age-dependent physiological changes that can impact drug disposition or response and because of other factors related to the drug (eg, dose, formulation) and the patient population (eg, disease state, obesity). Therefore, the DDI magnitude needs to be assessed in children separately from adults, although a lack of clinical DDI data in pediatric populations makes this evaluation challenging. As a result, pediatric DDI assessment relies on the predictive performance of the pharmacometric approaches used, such as population and physiologically based pharmacokinetic modeling. Therefore, careful consideration needs to be given to adequately account for the age-dependent physiological changes in these models to build high confidence for such untested DDI scenarios. This review article summarizes the key considerations related to the drug, patient population, and methodology, and how they can impact DDI evaluation in the pediatric population.
© 2021, The American College of Clinical Pharmacology.

Entities:  

Keywords:  drug-drug interactions; pediatrics; pharmacodynamics; pharmacokinetics

Mesh:

Substances:

Year:  2021        PMID: 34185913      PMCID: PMC8500325          DOI: 10.1002/jcph.1881

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   2.860


  74 in total

1.  Response surface model for anesthetic drug interactions.

Authors:  C F Minto; T W Schnider; T G Short; K M Gregg; A Gentilini; S L Shafer
Journal:  Anesthesiology       Date:  2000-06       Impact factor: 7.892

Review 2.  Mechanism-based pharmacokinetic-pharmacodynamic modeling: biophase distribution, receptor theory, and dynamical systems analysis.

Authors:  Meindert Danhof; Joost de Jongh; Elizabeth C M De Lange; Oscar Della Pasqua; Bart A Ploeger; Rob A Voskuyl
Journal:  Annu Rev Pharmacol Toxicol       Date:  2007       Impact factor: 13.820

3.  Potential drug-drug interactions in infant, child, and adolescent patients in children's hospitals.

Authors:  James Feinstein; Dingwei Dai; Wenjun Zhong; Jason Freedman; Chris Feudtner
Journal:  Pediatrics       Date:  2014-12-15       Impact factor: 7.124

Review 4.  Pharmacokinetic and pharmacodynamic interactions in anaesthesia. A review of current knowledge and how it can be used to optimize anaesthetic drug administration.

Authors:  J P van den Berg; H E M Vereecke; J H Proost; D J Eleveld; J K G Wietasch; A R Absalom; M M R F Struys
Journal:  Br J Anaesth       Date:  2017-01       Impact factor: 9.166

Review 5.  Drug metabolism alterations in nonalcoholic fatty liver disease.

Authors:  Matthew D Merrell; Nathan J Cherrington
Journal:  Drug Metab Rev       Date:  2011-05-25       Impact factor: 4.518

6.  Prediction of the clearance of eleven drugs and associated variability in neonates, infants and children.

Authors:  Trevor N Johnson; Amin Rostami-Hodjegan; Geoffrey T Tucker
Journal:  Clin Pharmacokinet       Date:  2006       Impact factor: 6.447

Review 7.  P-glycoprotein system as a determinant of drug interactions: the case of digoxin-verapamil.

Authors:  M Verschraagen; C H Koks; J H Schellens; J H Beijnen
Journal:  Pharmacol Res       Date:  1999-10       Impact factor: 7.658

8.  Drug-drug interactions in pediatric oncology patients.

Authors:  T E Balk; I H van der Sijs; T van Gelder; J J B Janssen; I M van der Sluis; R W F van Leeuwen; F K Engels
Journal:  Pediatr Blood Cancer       Date:  2017-02-16       Impact factor: 3.167

9.  Itraconazole and clarithromycin as ketoconazole alternatives for clinical CYP3A inhibition studies.

Authors:  A B Ke; M J Zamek-Gliszczynski; J W Higgins; S D Hall
Journal:  Clin Pharmacol Ther       Date:  2014-05       Impact factor: 6.875

10.  Antiepileptic drugs--best practice guidelines for therapeutic drug monitoring: a position paper by the subcommission on therapeutic drug monitoring, ILAE Commission on Therapeutic Strategies.

Authors:  Philip N Patsalos; David J Berry; Blaise F D Bourgeois; James C Cloyd; Tracy A Glauser; Svein I Johannessen; Ilo E Leppik; Torbjörn Tomson; Emilio Perucca
Journal:  Epilepsia       Date:  2008-07       Impact factor: 5.864

View more
  3 in total

1.  Physiologically-based pharmacokinetic modeling of oxcarbazepine and levetiracetam during adjunctive antiepileptic therapy in children and adolescents.

Authors:  Jaydeep Sinha; Eleni Karatza; Daniel Gonzalez
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-12-14

Review 2.  Characterizing Pharmacokinetics in Children With Obesity-Physiological, Drug, Patient, and Methodological Considerations.

Authors:  Jacqueline G Gerhart; Stephen Balevic; Jaydeep Sinha; Eliana M Perrin; Jian Wang; Andrea N Edginton; Daniel Gonzalez
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

3.  Increasing application of pediatric physiologically based pharmacokinetic models across academic and industry organizations.

Authors:  Trevor N Johnson; Ben G Small; Karen Rowland Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-02-17
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.