Literature DB >> 25670536

Results from the IQ-CSRC prospective study support replacement of the thorough QT study by QT assessment in the early clinical phase.

B Darpo1, C Benson, C Dota, G Ferber, C Garnett, C L Green, V Jarugula, L Johannesen, J Keirns, K Krudys, J Liu, C Ortemann-Renon, S Riley, N Sarapa, B Smith, R R Stoltz, M Zhou, N Stockbridge.   

Abstract

The QT effects of five "QT-positive" and one negative drug were tested to evaluate whether exposure-response analysis can detect QT effects in a small study with healthy subjects. Each drug was given to nine subjects (six for placebo) in two dose levels; positive drugs were chosen to cause 10 to 12 ms and 15 to 20 ms QTcF prolongation. The slope of the concentration/ΔQTc effect was significantly positive for ondansetron, quinine, dolasetron, moxifloxacin, and dofetilide. For the lower dose, an effect above 10 ms could not be excluded, i.e., the upper bound of the confidence interval for the predicted mean ΔΔQTcF effect was above 10 ms. For the negative drug, levocetirizine, a ΔΔQTcF effect above 10 ms was excluded at 6-fold the therapeutic dose. The study provides evidence that robust QT assessment in early-phase clinical studies can replace the thorough QT study.
© 2014 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2015        PMID: 25670536     DOI: 10.1002/cpt.60

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  61 in total

1.  No effect on QT intervals of mipomersen, a 2'-O-methoxyethyl modified antisense oligonucleotide targeting ApoB-100 mRNA, in a phase I dose escalation placebo-controlled study, and confirmed by a thorough QT (tQT) study, in healthy subjects.

Authors:  Rosie Z Yu; Rudy Gunawan; Zhaoyang Li; Robert S Mittleman; Asif Mahmood; John S Grundy; Walter Singleton; Richard Geary; Yanfeng Wang
Journal:  Eur J Clin Pharmacol       Date:  2015-12-09       Impact factor: 2.953

2.  Detecting moxifloxacin-induced QTc prolongation in thorough QT and early clinical phase studies using a highly automated ECG analysis approach.

Authors:  Gopi Krishna Panicker; Dilip R Karnad; Pramod Kadam; Fabio Badilini; Anil Damle; Snehal Kothari
Journal:  Br J Pharmacol       Date:  2016-03-04       Impact factor: 8.739

3.  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

4.  Implications of the IQ-CSRC Prospective Study: Time to Revise ICH E14.

Authors:  Borje Darpo; Christine Garnett; James Keirns; Norman Stockbridge
Journal:  Drug Saf       Date:  2015-09       Impact factor: 5.606

5.  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

6.  Comparing QT interval variability of semiautomated and high-precision ECG methodologies in seven thorough QT studies-implications for the power of studies intended for definitive evaluation of a drug's QT effect.

Authors:  Karin Meiser; Pierre Jordaan; Sasha Latypova; Borje Darpo
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-12-19       Impact factor: 1.468

7.  Stability of the Effect of a Standardized Meal on QTc.

Authors:  Jörg Täubel; Sara Fernandes; Georg Ferber
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-05-28       Impact factor: 1.468

Review 8.  Scientific white paper on concentration-QTc modeling.

Authors:  Christine Garnett; Peter L Bonate; Qianyu Dang; Georg Ferber; Dalong Huang; Jiang Liu; Devan Mehrotra; Steve Riley; Philip Sager; Christoffer Tornoe; Yaning Wang
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-12-05       Impact factor: 2.745

9.  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

10.  Late sodium current block for drug-induced long QT syndrome: Results from a prospective clinical trial.

Authors:  L Johannesen; J Vicente; J W Mason; C Erato; C Sanabria; K Waite-Labott; M Hong; J Lin; P Guo; A Mutlib; J Wang; W J Crumb; K Blinova; D Chan; J Stohlman; J Florian; M Ugander; N Stockbridge; D G Strauss
Journal:  Clin Pharmacol Ther       Date:  2015-11-28       Impact factor: 6.875

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