Literature DB >> 29420838

Study Design Parameters Affecting Exposure Response Analysis of QT Data: Results From Simulation Studies.

Georg Ferber1, Yaning Sun2, Borje Darpo3,4, Christine Garnett5, Jiang Liu2.   

Abstract

The operating characteristics of dose-escalating studies in terms of false-negative predictions of the QT effect and the power to exclude clinically relevant QT effects are not quantitatively established. One thousand single-ascending-dose (SAD) studies with 7 dose groups with 6/2 subjects on active drug/placebo were generated through simulation for each of 32 scenarios with (1) 8 different QT effects of the study drug and (2) achieved plasma concentration 2- or 4-fold above therapeutic levels. For each subject, drug-free QT data from a thorough QT study were subsampled to capture the circadian profile, on which a drug effect was added. The percentage of false-negative studies was between 4% and 9% when the drug's QT effect was set to 10 milliseconds. If a somewhat lower effect of 6.7 milliseconds was set at therapeutic concentrations, the fraction of negative studies was higher, 40% to 60% when the variability of the QT data was well controlled. When the QT effect was set to 5 milliseconds at therapeutic plasma concentrations, the power of SAD studies to exclude 10 milliseconds QT effect was generally above 70% (74% to 94%) with well-controlled QT variability, whereas the power was reduced to 36% to 69% if supratherapeutic plasma concentrations were not achieved. The rate of false-negative studies was acceptably low in placebo-controlled SAD studies. With a drug with no or a small QT effect, supratherapeutic plasma concentrations, and well-controlled variability of QT data, the power of SAD studies to exclude a relevant effect was above 70%.
© 2018, The American College of Clinical Pharmacology.

Keywords:  QT/QTc interval; SAD; concentration-QTc; exposure-response; first-in-human

Mesh:

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Year:  2018        PMID: 29420838     DOI: 10.1002/jcph.1065

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  3 in total

1.  Thorough QT/QTc in a Dish: An In Vitro Human Model That Accurately Predicts Clinical Concentration-QTc Relationships.

Authors:  Alexander D Blanchette; Fabian A Grimm; Chimeddulam Dalaijamts; Nan-Hung Hsieh; Kyle Ferguson; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Clin Pharmacol Ther       Date:  2018-12-02       Impact factor: 6.875

2.  Impact of Phase 1 study design on estimation of QT interval prolongation risk using exposure-response analysis.

Authors:  Nikolaos Tsamandouras; Sridhar Duvvuri; Steve Riley
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-10-29       Impact factor: 2.745

3.  Detection and impact of hysteresis when evaluating a drug's QTc effect using concentration-QTc analysis.

Authors:  Georg Ferber; Borje Darpo; Christine Garnett; Dalong Huang; Dhananjay D Marathe; Yaning Sun; Jiang Liu
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-10-28       Impact factor: 2.745

  3 in total

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