Literature DB >> 21228407

Population pharmacokinetic and concentration--QTc models for moxifloxacin: pooled analysis of 20 thorough QT studies.

Jeffry A Florian1, Christoffer W Tornøe, Richard Brundage, Ameeta Parekh, Christine E Garnett.   

Abstract

To increase our understanding of important subject characteristics and design variables affecting the performance of oral moxifloxacin in thorough QT studies, population pharmacokinetic and concentration-QTc models were developed by pooling data from 20 studies. A 1-compartment model with first-order elimination described the pharmacokinetics. Absorption delay was modeled using 8 transit compartments. Mean (95% confidence interval) values for oral clearance, apparent volume of distribution, the first-order absorption rate constant, and mean transit time were 11.7 (11.5-11.9) L/h, 147 (144-150) L, 1.9 (1.7-2.1) 1/h, and 0.3 (0.28-0.34) hours, respectively. Overencapsulating the moxifloxacin tablet increased mean transit time by 138% and delayed time to maximum concentration by 0.5 hours but had a minimal effect on overall exposure. Administration with food decreased absorption rate constant by 27%. Women had higher moxifloxacin exposure compared with men, which was explained by lower body weights. A linear model described the concentration-QTc relationship with a mean slope of 3.1 (2.8-3.3) milliseconds per µg/mL moxifloxacin. Mean slopes for individual studies ranged from 1.6 to 4.8 milliseconds per µg/mL. Hysteresis between moxifloxacin plasma concentrations and QTc was modest, and incorporating this delay did not result in a different slope (3.3 milliseconds per µg/mL). There were no differences in slope estimates between men and women or among race categories.

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Year:  2011        PMID: 21228407     DOI: 10.1177/0091270010381498

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


  71 in total

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2.  Comparison of the effects of levofloxacin on QT/QTc interval assessed in both healthy Japanese and Caucasian subjects (pages.

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3.  Insulin at normal physiological levels does not prolong QT(c) interval in thorough QT studies performed in healthy volunteers.

Authors:  Jorg Taubel; Ulrike Lorch; Georg Ferber; Jatinder Singh; Velislav N Batchvarov; Irina Savelieva; A John Camm
Journal:  Br J Clin Pharmacol       Date:  2013-02       Impact factor: 4.335

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

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5.  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

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Authors:  Qian Chen; Yan-mei Liu; Yun Liu; Boaz Mendzelevski; Dennis Chanter; Hua-hua Pu; Gang-yi Liu; Onglee Weng; Chao-ying Hu; Wei Wang; Chen Yu; Jing-ying Jia
Journal:  Acta Pharmacol Sin       Date:  2015-03-23       Impact factor: 6.150

7.  Moxifloxacin pharmacokinetic profile and efficacy evaluation in empiric treatment of community-acquired pneumonia.

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8.  Population pharmacokinetics of moxifloxacin and its concentration-QT interval relationship modeling in Chinese healthy volunteers.

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Journal:  Acta Pharmacol Sin       Date:  2017-07-17       Impact factor: 6.150

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.  Towards Bridging Translational Gap in Cardiotoxicity Prediction: an Application of Progressive Cardiac Risk Assessment Strategy in TdP Risk Assessment of Moxifloxacin.

Authors:  Nikunjkumar Patel; Oliver Hatley; Alexander Berg; Klaus Romero; Barbara Wisniowska; Debra Hanna; David Hermann; Sebastian Polak
Journal:  AAPS J       Date:  2018-03-14       Impact factor: 4.009

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