Literature DB >> 30465453

Dose adjustment in orphan disease populations: the quest to fulfill the requirements of physiologically based pharmacokinetics.

Martyn Howard1, Jill Barber1, Naved Alizai2, Amin Rostami-Hodjegan1.   

Abstract

INTRODUCTION: While the media is engaged and fascinated by the idea of 'Precision Medicine', the nuances related to 'Precision Dosing' seem to be largely ignored. Assuming the 'right drug' is selected, clinicians still need to decide on the 'right dose' for individuals. Ideally, optimal dosing should be studied in clinical trials; however, many drugs on the market lack evidence-based dosing recommendations, and small groups of patients (orphan disease populations) are dependent on local guidance and clinician experience to determine drug dosage adjustments. Areas Covered: This report explores the current understanding of dosing adjustment in special populations and examines the requirements for developing 'in silico' models for pediatric, elderly and pregnant patients. The report also highlights current use of modeling to provide evidence-based recommendations for drug labeling in the absence of complete clinical trials in orphan disease populations. Expert Opinion: Physiologically based pharmacokinetics (PBPK) is an attractive prospect for determining the best drug dosage adjustments in special populations. However, it is not sufficient for individualized, or even stratified dosing, unless the systems (drug-independent) data required to build robust PBPK models are obtained. Such models are not a substitute for clinical trials, but they are an alternative to undocumented and inconsistent guesswork.

Entities:  

Keywords:  Childhood liver disease; Physiologically-Based Pharmacokinetics (PBPK); drug metabolizing enzymes; drug transporters; ontogeny; pediatric; special populations

Mesh:

Substances:

Year:  2018        PMID: 30465453     DOI: 10.1080/17425255.2018.1546288

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  2 in total

1.  Assessing Potential Drug-Drug Interactions Between Dabigatran Etexilate and a P-Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Kosuke Doki; Sibylle Neuhoff; Amin Rostami-Hodjegan; Masato Homma
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-02

Review 2.  Clinical pharmacology and dosing regimen optimization of neonatal opioid withdrawal syndrome treatments.

Authors:  Fei Tang; Chee M Ng; Henrietta S Bada; Markos Leggas
Journal:  Clin Transl Sci       Date:  2021-05-01       Impact factor: 4.689

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.