Literature DB >> 30627939

What Does it Take to Make Model-Informed Precision Dosing Common Practice? Report from the 1st Asian Symposium on Precision Dosing.

Thomas M Polasek1,2, Amin Rostami-Hodjegan3,4, Dong-Seok Yim5, Masoud Jamei3, Howard Lee6,7, Holly Kimko8, Jae Kyoung Kim9, Phuong Thi Thu Nguyen10,11, Adam S Darwich4, Jae-Gook Shin10.   

Abstract

Model-informed precision dosing (MIPD) is modeling and simulation 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 in comparison to traditional dosing. This paper describes the background and status of MIPD and the activities at the 1st Asian Symposium of Precision Dosing. The theme of the meeting was the question, "What does it take to make MIPD common practice?" Formal presentations highlighted the distinction between genetic and non-genetic sources of variability in drug exposure and response, the use of modeling and simulation as decision support tools, and the facilitators to MIPD implementation. A panel discussion addressed the types of models used for MIPD, how the pharmaceutical industry views MIPD, ways to upscale MIPD beyond academic hospital centers, and the essential role of healthcare professional education as a way to progress. The meeting concluded with an ongoing commitment to use MIPD to improve patient care.

Entities:  

Mesh:

Year:  2019        PMID: 30627939     DOI: 10.1208/s12248-018-0286-6

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  10 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

Review 2.  [Therapeutic drug monitoring and pharmacokinetic models as a strategy for rational antibiotic therapy in intensive care patients].

Authors:  Lea Marie Schatz; Michael Zoller; Christina Scharf; Uwe Liebchen
Journal:  Anaesthesiologie       Date:  2022-06-15

Review 3.  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

4.  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

5.  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

6.  Impact of Sampling Period on Population Pharmacokinetic Analysis of Antibiotics: Why do You Take Blood Samples Following the Fourth Dose?

Authors:  So Won Kim; Dong Jin Kim; Dae Young Zang; Dong-Hwan Lee
Journal:  Pharmaceuticals (Basel)       Date:  2020-09-16

7.  Optimized sampling to estimate vancomycin drug exposure: Comparison of pharmacometric and equation-based approaches in a simulation-estimation study.

Authors:  David W Uster; Sebastian G Wicha
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-04-05

8.  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

9.  Editorial: Precision Medicine: Impact of Cytochromes P450 and Transporters Genetic Polymorphisms, Drug-Drug Interactions, Disease on Safety and Efficacy of Drugs.

Authors:  Youssef Daali; Amin Rostami-Hodjegan; Caroline F Samer
Journal:  Front Pharmacol       Date:  2022-01-18       Impact factor: 5.810

10.  Liquid Biopsy Enables Quantification of the Abundance and Interindividual Variability of Hepatic Enzymes and Transporters.

Authors:  Brahim Achour; Zubida M Al-Majdoub; Agnieszka Grybos-Gajniak; Kristi Lea; Peter Kilford; Mian Zhang; David Knight; Jill Barber; Jeoffrey Schageman; Amin Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2020-11-25       Impact factor: 6.903

  10 in total

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