Literature DB >> 29209907

Scientific white paper on concentration-QTc modeling.

Christine Garnett1, Peter L Bonate2, Qianyu Dang3, Georg Ferber4, Dalong Huang3, Jiang Liu5, Devan Mehrotra6, Steve Riley7, Philip Sager8, Christoffer Tornoe9, Yaning Wang5.   

Abstract

The International Council for Harmonisation revised the E14 guideline through the questions and answers process to allow concentration-QTc (C-QTc) modeling to be used as the primary analysis for assessing the QTc interval prolongation risk of new drugs. A well-designed and conducted QTc assessment based on C-QTc modeling in early phase 1 studies can be an alternative approach to a thorough QT study for some drugs to reliably exclude clinically relevant QTc effects. This white paper provides recommendations on how to plan and conduct a definitive QTc assessment of a drug using C-QTc modeling in early phase clinical pharmacology and thorough QT studies. Topics included are: important study design features in a phase 1 study; modeling objectives and approach; exploratory plots; the pre-specified linear mixed effects model; general principles for model development and evaluation; and expectations for modeling analysis plans and reports. The recommendations are based on current best modeling practices, scientific literature and personal experiences of the authors. These recommendations are expected to evolve as their implementation during drug development provides additional data and with advances in analytical methodology.

Entities:  

Keywords:  Concentration-QTc model; ICH E14; Pharmacokinetics/pharmacodynamics; Thorough QT (TQT) study

Mesh:

Substances:

Year:  2017        PMID: 29209907     DOI: 10.1007/s10928-017-9558-5

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  35 in total

Review 1.  The IQ-CSRC prospective clinical Phase 1 study: "Can early QT assessment using exposure response analysis replace the thorough QT study?".

Authors:  Borje Darpo; Nenad Sarapa; Christine Garnett; Charles Benson; Corina Dota; Georg Ferber; Venkateswar Jarugula; Lars Johannesen; James Keirns; Kevin Krudys; Catherine Ortemann-Renon; Steve Riley; Danise Rogers-Subramaniam; Norman Stockbridge
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-12-30       Impact factor: 1.468

2.  Near-thorough QT study as part of a first-in-man study.

Authors:  Marek Malik; Katerina Hnatkova; John Ford; David Madge
Journal:  J Clin Pharmacol       Date:  2008-08-29       Impact factor: 3.126

3.  The reproducibility of QTc changes after meal intake.

Authors:  Jorg Taubel; Georg Ferber
Journal:  J Electrocardiol       Date:  2014-11-15       Impact factor: 1.438

4.  The effects of active metabolites on parameter estimation in linear mixed effect models of concentration-QT analyses.

Authors:  Peter L Bonate
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-01-04       Impact factor: 2.745

5.  Modelling PK/QT relationships from Phase I dose-escalation trials for drug combinations and developing quantitative risk assessments of clinically relevant QT prolongations.

Authors:  Karen Sinclair; Els Kinable; Kai Grosch; Jixian Wang
Journal:  Pharm Stat       Date:  2016-03-17       Impact factor: 1.894

6.  Can Bias Evaluation Provide Protection Against False-Negative Results in QT Studies Without a Positive Control Using Exposure-Response Analysis?

Authors:  Georg Ferber; Meijian Zhou; Corina Dota; Christine Garnett; James Keirns; Marek Malik; Norman Stockbridge; Borje Darpo
Journal:  J Clin Pharmacol       Date:  2016-07-07       Impact factor: 3.126

7.  Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

Authors:  S F Marshall; R Burghaus; V Cosson; S Y A Cheung; M Chenel; O DellaPasqua; N Frey; B Hamrén; L Harnisch; F Ivanow; T Kerbusch; J Lippert; P A Milligan; S Rohou; A Staab; J L Steimer; C Tornøe; S A G Visser
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-03-14

8.  Statistical issues including design and sample size calculation in thorough QT/QTc studies.

Authors:  Joanne Zhang; Stella G Machado
Journal:  J Biopharm Stat       Date:  2008       Impact factor: 1.051

Review 9.  Challenges of characterizing proarrhythmic risk due to QTc prolongation induced by nonadjuvant anticancer agents.

Authors:  Nenad Sarapa; Margaret R Britto
Journal:  Expert Opin Drug Saf       Date:  2008-05       Impact factor: 4.250

10.  Evaluating the Use of Linear Mixed-Effect Models for Inference of the Concentration-QTc Slope Estimate as a Surrogate for a Biological QTc Model.

Authors:  Y Huh; M M Hutmacher
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2015-01-28
View more
  58 in total

1.  Effect of inotuzumab ozogamicin on the QT interval in patients with haematologic malignancies using QTc-concentration modelling.

Authors:  Jennifer E Hibma; Hagop M Kantarjian; Daniel J DeAngelo; Joseph P Boni
Journal:  Br J Clin Pharmacol       Date:  2019-01-21       Impact factor: 4.335

2.  Concentration-response modeling of ECG data from early-phase clinical studies to assess QT prolongation risk of contezolid (MRX-I), an oxazolidinone antibacterial agent.

Authors:  Junzhen Wu; Kun Wang; Yuancheng Chen; Hong Yuan; Li Li; Jing Zhang
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-08-13       Impact factor: 2.745

3.  A tutorial on model informed approaches to cardiovascular safety with focus on cardiac repolarisation.

Authors:  S Y A Cheung; J Parkinson; U Wählby-Hamrén; C D Dota; Å M Kragh; L Bergenholm; T Vik; T Collins; C Arfvidsson; C E Pollard; H K Tomkinson; B Hamrén
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-05-07       Impact factor: 2.745

4.  Cardiac risk assessment based on early Phase I data and PK-QTc analysis is concordant with the outcome of thorough QTc trials: an assessment based on eleven drug candidates.

Authors:  Puneet Gaitonde; Yeamin Huh; Borje Darpo; Georg Ferber; Günter Heimann; James Li; Kaifeng Lu; Bernard Sebastien; Kuenhi Tsai; Steve Riley
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-10-30       Impact factor: 2.745

5.  Randomized study of the effect of gadopiclenol, a new gadolinium-based contrast agent, on the QTc interval in healthy subjects.

Authors:  Christian Funck-Brentano; Mathieu Felices; Nathalie Le Fur; Corinne Dubourdieu; Pierre Desché; Frédéric Vanhoutte; Pascal Voiriot
Journal:  Br J Clin Pharmacol       Date:  2020-04-27       Impact factor: 4.335

6.  Effect of lofexidine on cardiac repolarization during treatment of opioid withdrawal.

Authors:  Börje Darpö; Mark Pirner; James Longstreth; Georg Ferber
Journal:  Drug Alcohol Depend       Date:  2019-09-27       Impact factor: 4.492

7.  Evaluation of the Effect of Contezolid (MRX-I) on the Corrected QT Interval in a Randomized, Double-Blind, Placebo- and Positive-Controlled Crossover Study in Healthy Chinese Volunteers.

Authors:  Junzhen Wu; Guoying Cao; Hailan Wu; Yuancheng Chen; Beining Guo; Xiaojie Wu; Jicheng Yu; Kanhong Ni; Jin Qian; Li Wang; Jufang Wu; Yu Wang; Hong Yuan; Jing Zhang; Yuewen Xi
Journal:  Antimicrob Agents Chemother       Date:  2020-05-21       Impact factor: 5.191

8.  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

9.  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

10.  Concentration-QTc analysis with two or more correlated baselines.

Authors:  Yasushi Orihashi; Yuji Kumagai
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-05-12       Impact factor: 2.745

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.