Literature DB >> 25612153

Utility of concentration-effect modeling and simulation in a thorough QT study of losmapimod.

April M Barbour1, Mindy Magee, Bonnie Shaddinger, Niki Arya, Lee Tombs, Wenli Tao, Bela R Patel, Michael J Fossler, Ruchira Glaser.   

Abstract

A thorough QT study was conducted in healthy volunteers with losmapimod. Four treatment regimens were included: a therapeutic dose (7.5 mg BID for 5 days), a supratherapeutic dose (20 mg QD for 5 days), a positive control (400 mg moxifloxacin single dose on Day 5), and placebo for 5 days. Baseline and on treatment ECGs were measured on Day 1 (3 timepoints predose) and Day 5, respectively. The primary statistical analysis failed to demonstrate a lack of effect of losmapimod on the QT interval leading to a positive finding. However, simulations using the concentration-effect model established for QTcF vs. losmapimod concentration at concentrations 4× the maximum concentration of the therapeutic dose did not exceed the regulatory thresholds of concern of 5 milliseconds for the mean (4.57 milliseconds) and 10 milliseconds for the upper bound of the 90%CI (90%CI 2.88, 6.10). Modeling demonstrated that the discrepant results may have been due to a baseline shift after repeat dosing and baseline differences between the treatments. Considering the results of the concentration-effect modeling, previous losmapimod data, and the high false-positive rate associated with the ICH E14 statistical analysis, the statistical analysis was likely a false-positive.
© 2015, The American College of Clinical Pharmacology.

Entities:  

Keywords:  QT; concentration-effect; losmapimod; modeling and simulation

Mesh:

Substances:

Year:  2015        PMID: 25612153     DOI: 10.1002/jcph.465

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


  7 in total

1.  The thorough QT study - do we need more of the same?

Authors:  Yoon K Loke
Journal:  Br J Clin Pharmacol       Date:  2016-02-17       Impact factor: 4.335

2.  Can an early phase clinical pharmacology study replace a thorough QT study? Experience with a novel H3-receptor antagonist/inverse agonist.

Authors:  Rashmi R Shah; Pierre Maison-Blanche; Philippe Robert; Emmanuel Denis; Thierry Duvauchelle
Journal:  Eur J Clin Pharmacol       Date:  2016-02-16       Impact factor: 2.953

3.  Estimation of QT interval prolongation through model-averaging.

Authors:  Peter L Bonate
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-04-18       Impact factor: 2.745

4.  Balancing the Need for Personalization of QT Correction and Generalization of Study Results: Going Beyond Thorough QT Studies.

Authors:  Igor Diemberger; Emanuel Raschi; Gianluca Trifirò
Journal:  Clin Drug Investig       Date:  2017-10       Impact factor: 2.859

5.  Assessing QT/QTc interval prolongation with concentration-QT modeling for Phase I studies: impact of computational platforms, model structures and confidence interval calculation methods.

Authors:  Jingtao Lu; Jianguo Li; Gabriel Helmlinger; Nidal Al-Huniti
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-03-19       Impact factor: 2.745

Review 6.  Emerging treatment options to improve cardiovascular outcomes in patients with acute coronary syndrome: focus on losmapimod.

Authors:  Kristian Kragholm; Laura Kristin Newby; Chiara Melloni
Journal:  Drug Des Devel Ther       Date:  2015-08-05       Impact factor: 4.162

Review 7.  Evaluating cardiac risk: exposure response analysis in early clinical drug development.

Authors:  Julie Grenier; Sabina Paglialunga; Bruce H Morimoto; Robert M Lester
Journal:  Drug Healthc Patient Saf       Date:  2018-04-18
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.