Literature DB >> 28182269

Why has model-informed precision dosing not yet become common clinical reality? lessons from the past and a roadmap for the future.

A S Darwich1, K Ogungbenro1, A A Vinks2,3, J R Powell4, J-L Reny5,6, N Marsousi7, Y Daali5,7, D Fairman8, J Cook9, L J Lesko10, J S McCune11, Caj Knibbe12, S N de Wildt13,14, J S Leeder15,16, M Neely17, A F Zuppa18, P Vicini19, L Aarons1, T N Johnson20, J Boiani21, A Rostami-Hodjegan1,21.   

Abstract

Patient groups prone to polypharmacy and special subpopulations are susceptible to suboptimal treatment. Refined dosing in special populations is imperative to improve therapeutic response and/or lowering the risk of toxicity. Model-informed precision dosing (MIPD) may improve treatment outcomes by achieving the optimal dose for an individual patient. There is, however, relatively little published evidence of large-scale utility and impact of MIPD, where it is often implemented as local collaborative efforts between academia and healthcare. This article highlights some successful applications of bringing MIPD to clinical care and proposes strategies for wider integration in healthcare. Considerations are brought up herein that will need addressing to see MIPD become "widespread clinical practice," among those, wider interdisciplinary collaborations and the necessity for further evidence-based efficacy and cost-benefit analysis of MIPD in healthcare. The implications of MIPD on regulatory policies and pharmaceutical development are also discussed as part of the roadmap.
© 2017 American Society for Clinical Pharmacology and Therapeutics.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28182269     DOI: 10.1002/cpt.659

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  57 in total

1.  Spotlight Commentary: Model-informed precision dosing must demonstrate improved patient outcomes.

Authors:  Daniel F B Wright; Jennifer H Martin; Serge Cremers
Journal:  Br J Clin Pharmacol       Date:  2019-08-09       Impact factor: 4.335

2.  Assessing the impact of the addition of dendritic cell vaccination to neoadjuvant chemotherapy in breast cancer patients: A model-based characterization approach.

Authors:  Belén P Solans; Ascensión López-Díaz de Cerio; Arlette Elizalde; Luis Javier Pina; Susana Inogés; Jaime Espinós; Esteban Salgado; Luis Daniel Mejías; Iñaki F Trocóniz; Marta Santisteban
Journal:  Br J Clin Pharmacol       Date:  2019-06-14       Impact factor: 4.335

3.  Model-Informed Approaches for Alternative Aripiprazole Dosing Regimens and Missed Dose Management: Towards Better Adherence to Antipsychotic Pharmacotherapy.

Authors:  Jun-Yi Wu; Guo Yu; Guo-Fu Li
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-08       Impact factor: 2.441

4.  Challenges and Solutions for Future Pharmacy Practice in the Era of Precision Medicine.

Authors:  Olivia M Dong; Rachel M Howard; Rachel Church; Mackenzie Cottrell; Alan Forrest; Federico Innocenti; Merrie Mosedale; Angela Kashuba; Daniel Gonzalez; Tim Wiltshire
Journal:  Am J Pharm Educ       Date:  2018-08       Impact factor: 2.047

5.  Application of Model Informed Precision Dosing to Address the Impact of Pregnancy Stage and CYP2D6 Phenotype on Foetal Morphine Exposure.

Authors:  Sarah Badaoui; Ashley M Hopkins; A David Rodrigues; John O Miners; Michael J Sorich; Andrew Rowland
Journal:  AAPS J       Date:  2021-01-06       Impact factor: 4.009

6.  Evaluation of Tobramycin Exposure Predictions in Three Bayesian Forecasting Programmes Compared with Current Clinical Practice in Children and Adults with Cystic Fibrosis.

Authors:  Marc Burgard; Indy Sandaradura; Sebastiaan J van Hal; Sonya Stacey; Stefanie Hennig
Journal:  Clin Pharmacokinet       Date:  2018-08       Impact factor: 6.447

7.  Can Population Pharmacokinetics of Antibiotics be Extrapolated? Implications of External Evaluations.

Authors:  Yu Cheng; Chen-Yu Wang; Zi-Ran Li; Yan Pan; Mao-Bai Liu; Zheng Jiao
Journal:  Clin Pharmacokinet       Date:  2021-01       Impact factor: 6.447

8.  Bayesian Estimation of Tobramycin Exposure in Patients with Cystic Fibrosis: an Update.

Authors:  Yanhua Gao; Michael Barras; Stefanie Hennig
Journal:  Antimicrob Agents Chemother       Date:  2018-02-23       Impact factor: 5.191

9.  Model-based dosing with concentration feedback as an integral part of personalized hydroxycarbamide management.

Authors:  Min Dong; Patrick T McGann; Tomoyuki Mizuno; Russell E Ware; Alexander A Vinks
Journal:  Br J Clin Pharmacol       Date:  2018-04-17       Impact factor: 4.335

Review 10.  Review of the Pharmacokinetics and Pharmacodynamics of Intravenous Busulfan in Paediatric Patients.

Authors:  Rachael Lawson; Christine E Staatz; Christopher J Fraser; Stefanie Hennig
Journal:  Clin Pharmacokinet       Date:  2020-10-30       Impact factor: 6.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.