Literature DB >> 22960736

Safe and effective variability-a criterion for dose individualization.

Nicholas H G Holford1, Thierry Buclin.   

Abstract

BACKGROUND: A primary goal of clinical pharmacology is to understand the factors that determine the dose-effect relationship and to use this knowledge to individualize drug dose.
METHODS: A principle-based criterion is proposed for deciding among alternative individualization methods.
RESULTS: Safe and effective variability defines the maximum acceptable population variability in drug concentration around the population average.
CONCLUSIONS: A decision on whether patient covariates alone are sufficient, or whether therapeutic drug monitoring in combination with target concentration intervention is needed, can be made by comparing the remaining population variability after a particular dosing method with the safe and effective variability.

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Year:  2012        PMID: 22960736     DOI: 10.1097/FTD.0b013e31826aabc3

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  32 in total

1.  Random-effects linear modeling and sample size tables for two special crossover designs of average bioequivalence studies: the four-period, two-sequence, two-formulation and six-period, three-sequence, three-formulation designs.

Authors:  Francisco J Diaz; Michel J Berg; Ron Krebill; Timothy Welty; Barry E Gidal; Rita Alloway; Michael Privitera
Journal:  Clin Pharmacokinet       Date:  2013-12       Impact factor: 6.447

2.  Handling interoccasion variability in model-based dose individualization using therapeutic drug monitoring data.

Authors:  João A Abrantes; Siv Jönsson; Mats O Karlsson; Elisabet I Nielsen
Journal:  Br J Clin Pharmacol       Date:  2019-04-29       Impact factor: 4.335

3.  A Critique of Pharmacokinetic Calculators for Drug Dosing Individualization.

Authors:  Slobodan M Janković
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2020-04       Impact factor: 2.441

4.  Therapeutic drug monitoring in the era of precision medicine: opportunities!

Authors:  Serge Cremers; Nishan Guha; Brian Shine
Journal:  Br J Clin Pharmacol       Date:  2016-10       Impact factor: 4.335

5.  Comparing dosage adjustment methods for once-daily tobramycin in paediatric and adolescent patients with cystic fibrosis.

Authors:  Stefanie Hennig; Franziska Holthouse; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2015-04       Impact factor: 6.447

Review 6.  Using pharmacokinetics to individualize hemophilia therapy.

Authors:  Alfonso Iorio
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2017-12-08

7.  Busulfan in infant to adult hematopoietic cell transplant recipients: a population pharmacokinetic model for initial and Bayesian dose personalization.

Authors:  Jeannine S McCune; Meagan J Bemer; Jeffrey S Barrett; K Scott Baker; Alan S Gamis; Nicholas H G Holford
Journal:  Clin Cancer Res       Date:  2013-11-11       Impact factor: 12.531

8.  The integration of allometry and virtual populations to predict clearance and clearance variability in pediatric populations over the age of 6 years.

Authors:  Andrea N Edginton; Bhavank Shah; Michael Sevestre; Jeremiah D Momper
Journal:  Clin Pharmacokinet       Date:  2013-08       Impact factor: 6.447

9.  Population pharmacokinetics of oxcarbazepine active metabolite in Chinese paediatric epilepsy patients and its application in individualised dosage regimens.

Authors:  Wei-Wei Lin; Xi-Wen Li; Zheng Jiao; Jin Zhang; Xin Rao; Da-Yong Zeng; Xin-Hua Lin; Chang-Lian Wang
Journal:  Eur J Clin Pharmacol       Date:  2018-11-19       Impact factor: 2.953

Review 10.  Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?

Authors:  Emily Brooks; Susan E Tett; Nicole M Isbel; Christine E Staatz
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

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