Literature DB >> 30500115

Toward Dynamic Prescribing Information: Codevelopment of Companion Model-Informed Precision Dosing Tools in Drug Development.

Thomas M Polasek1,2, Craig R Rayner1,2, Richard W Peck3, Andrew Rowland4, Holly Kimko5, Amin Rostami-Hodjegan1,6.   

Abstract

Model-informed precision dosing (MIPD) is biosimulation in healthcare to predict the drug dose for a given patient based on their individual characteristics that is most likely to improve efficacy and/or lower toxicity compared with traditional dosing. Despite widespread use of biosimulation in drug development, MIPD has not been adopted beyond academic-hospital centers. A reason for this is that MIPD requires more supporting evidence in the language that everyday doctors understand-evidence-based medicine. In this commentary, codevelopment of companion MIPD tools during drug development is advocated as a way to accelerate the generation of the evidence required for broader clinical implementation of MIPD. Such tools have the potential to evolve into "dynamic" prescribing information that could guide dose selection for complex patients.
© 2018, The American College of Clinical Pharmacology.

Entities:  

Keywords:  drug development; model-informed precision dosing; physiologically based pharmacokinetics; precision dosing; precision medicine

Mesh:

Substances:

Year:  2018        PMID: 30500115     DOI: 10.1002/cpdd.638

Source DB:  PubMed          Journal:  Clin Pharmacol Drug Dev        ISSN: 2160-763X


  8 in total

Review 1.  Semi-Automated Therapeutic Drug Monitoring as a Pillar toward Personalized Medicine for Tuberculosis Management.

Authors:  Rannissa Puspita Jayanti; Nguyen Phuoc Long; Nguyen Ky Phat; Yong-Soon Cho; Jae-Gook Shin
Journal:  Pharmaceutics       Date:  2022-05-05       Impact factor: 6.525

2.  Software Tools for Model-Informed Precision Dosing: How Well Do They Satisfy the Needs?

Authors:  Wannee Kantasiripitak; Ruth Van Daele; Matthias Gijsen; Marc Ferrante; Isabel Spriet; Erwin Dreesen
Journal:  Front Pharmacol       Date:  2020-05-07       Impact factor: 5.810

3.  A repository of protein abundance data of drug metabolizing enzymes and transporters for applications in physiologically based pharmacokinetic (PBPK) modelling and simulation.

Authors:  Mayur K Ladumor; Aarzoo Thakur; Sheena Sharma; Aravind Rachapally; Sarang Mishra; Priyanka Bobe; V Kameswara Rao; Praneetha Pammi; Hari Kangne; David Levi; Ankit Balhara; Sriram Ghandikota; Anupama Joshi; Vivek Nautiyal; Bhagwat Prasad; Saranjit Singh
Journal:  Sci Rep       Date:  2019-07-04       Impact factor: 4.379

4.  Precision dosing to avoid adverse drug reactions.

Authors:  Thomas M Polasek; Carl M J Kirkpatrick; Amin Rostami-Hodjegan
Journal:  Ther Adv Drug Saf       Date:  2019-12-11

5.  Pharmacokinetic equations versus Bayesian guided vancomycin monitoring: Pharmacokinetic model and model-informed precision dosing trial simulations.

Authors:  Abdullah Aljutayli; Daniel J G Thirion; Guillaume Bonnefois; Fahima Nekka
Journal:  Clin Transl Sci       Date:  2022-02-15       Impact factor: 4.438

Review 6.  A Physiologically Based Pharmacokinetic Model to Predict the Impact of Metabolic Changes Associated with Metabolic Associated Fatty Liver Disease on Drug Exposure.

Authors:  Elise M Newman; Andrew Rowland
Journal:  Int J Mol Sci       Date:  2022-10-04       Impact factor: 6.208

7.  Precision medicine technology hype or reality? The example of computer-guided dosing.

Authors:  Thomas M Polasek; Sepehr Shakib; Amin Rostami-Hodjegan
Journal:  F1000Res       Date:  2019-10-01

8.  Combining Therapeutic Drug Monitoring and Pharmacokinetic Modelling Deconvolutes Physiological and Environmental Sources of Variability in Clozapine Exposure.

Authors:  Kenneth H Wills; Stephen J Behan; Michael J Nance; Jessica L Dawson; Thomas M Polasek; Ashley M Hopkins; Madelé van Dyk; Andrew Rowland
Journal:  Pharmaceutics       Date:  2021-12-27       Impact factor: 6.321

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.