Literature DB >> 26886327

Do We Bury Antibacterials When Launching? Cefaclor Example.

Zdenko Tomić1, Ana Tomas2, Saša Vukmirović1, Momir Mikov1, Olga Horvat1, Nataša Tomić3, Ana Sabo1.   

Abstract

This study aimed to compare existing dosing regimens of cefaclor with recommended pharmacokinetic/pharmacodynamic (PK/PD) parameters and to see if the proposed dosing regimen could have been the reason for development of bacterial resistance. PKs of cefaclor were determined after administrating the highest therapeutic dose of 750 mg in standard release (SF) and modified release form (MRF) in 12 volunteers. The study was performed on clinical isolates of the most frequent causative agents in urinary and respiratory infections. Minimum inhibitory concentration (MIC), postantibiotic effect, and PK/PD efficacy indices were determined. Peak plasma concentrations of 23.142 ± 5.67 (SF) and 8.7 ± 2.09 μg/mL (MRF) were observed after 40-60 min and 3.04 ± 0.75 h, respectively. MIC for investigated bacterial strains ranged from 1 to 4 mg/L. Postantibiotic effect lasted from 2.10-2.18 ± 0.2 h for Gram-positive to 0.58-0.90 ± 0.05 h for Gram-negative bacteria. PK/PD indices (t > MIC) ranged from 27.08 ± 5.93% to 43.23 ± 6.54% of 8-h dosing interval (SF) and 22.57 ± 8.93% to 49.65 ± 1.95% of 12-h dosing interval (MRF). Plasma levels were below MIC for more than 50% of the dosing interval even for the most sensitive pathogens (MIC = 1 mg/L). During both dosing intervals the total "antibacterial activity" was not longer than 6 h for Gram-positive and 5 h for Gram-negative bacteria for SF and 9 h for Gram-positive and 5 h for Gram-negative bacteria for MRF.
Copyright © 2016 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

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Keywords:  drug design; formulation; pharmacodynamics; pharmacokinetics; pharmacokinetics/pharmacodynamics

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Year:  2016        PMID: 26886327     DOI: 10.1016/j.xphs.2015.12.003

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  1 in total

1.  Metagenomic Analysis of Antibiotic-Induced Changes in Gut Microbiota in a Pregnant Rat Model.

Authors:  Imran Khan; Esam I Azhar; Aymn T Abbas; Taha Kumosani; Elie K Barbour; Didier Raoult; Muhammad Yasir
Journal:  Front Pharmacol       Date:  2016-04-28       Impact factor: 5.810

  1 in total

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