Literature DB >> 29974964

Bayesian population pharmacokinetic modeling of florfenicol in pigs after intravenous and intramuscular administration.

Zhichang Liu1, Ting Rong1, Dongping Zeng2, Xiangguang Shen2, Xianyong Ma1, Zhenling Zeng2.   

Abstract

Bayesian population pharmacokinetic models of florfenicol in healthy pigs were developed based on retrospective data in pigs either via intravenous (i.v.) or intramuscular (i.m.) administration. Following i.v. administration, the disposition of florfenicol was best described by a two-compartment open model with the typical values of half-life at α phase (t1/2α ), half-life at β phase (t1/2β ), total body clearance (Cl), and volume of distribution (Vd ) were 0.132 ± 0.0289, 2.78 ± 0.166 hr, 0.215 ± 0.0102, and 0.841 ± 0.0289 L kg-1 , respectively. The disposition of florfenicol after i.m. administration was best described by a one-compartment open model. The typical values of maximum concentration of drug in serum (Cmax ), elimination half-life (t1/2Kel ), Cl, and Volume (V) were 5.52 ± 0.605 μg/ml, 9.96 ± 1.12 hr, 0.228 ± 0.0154 L hr-1  kg-1 , and 3.28 ± 0.402 L/kg, respectively. The between-subject variabilities of all the parameters after i.m. administration were between 25.1%-92.1%. Florfenicol was well absorbed (94.1%) after i.m. administration. According to Monte Carlo simulation, 8.5 and 6 mg/kg were adequate to exert 90% bactericidal effect against Actinobacillus pleuropneumoniae after i.v. and i.m. administration.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  Bayesian; Markov chain Monte Carlo; WinBUGS; florfenicol; population pharmacokinetic

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Year:  2018        PMID: 29974964     DOI: 10.1111/jvp.12677

Source DB:  PubMed          Journal:  J Vet Pharmacol Ther        ISSN: 0140-7783            Impact factor:   1.786


  1 in total

1.  Comparative muscle irritation and pharmacokinetics of florfenicol-hydroxypropyl-β-cyclodextrin inclusion complex freeze-dried powder injection and florfenicol commercial injection in beagle dogs.

Authors:  Guoqing Fan; Li Zhang; Yun Shen; Gang Shu; Zhixiang Yuan; Juchun Lin; Wei Zhang; Guangneng Peng; Zhijun Zhong; Lizi Yin; Hualin Fu
Journal:  Sci Rep       Date:  2019-11-13       Impact factor: 4.379

  1 in total

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