Literature DB >> 15482188

Optimization of antibiotic dosing schedules in the light of increasing antibiotic resistance.

Susan V Smith1, Ian M Gould.   

Abstract

The development of antibiotic-resistant bacteria is an increasing problem throughout the world and is, without doubt, due to the increasing use of antibiotics themselves. As organisms become more resistant, treatment options become more limited and treatment failures increasingly likely. The need to reverse, or at least minimize this pattern of increasing resistance is therefore essential. Numerous strategies to achieve this have been postulated and there is no doubt that a combination of these will ultimately prove to be most effective. Among them, using antibiotic dosing regimens that may be less likely to promote resistance is one measure which could be beneficial, and this will be the focus of this review. Individual antibiotics will be discussed under the headings of the patterns of killing activity that they produce. Namely whether they exhibit concentration-dependent killing with prolonged persistent effects, time-dependent killing with minimal or no persistent effects, or time-dependent killing with prolonged persistent effects. The available evidence for optimal dosing regimens, as far as minimizing antibiotic resistance is concerned, will be reviewed. Where possible, recommendations relating to clinical practice will be made, or failing that, an indication of where further research would be of benefit.

Mesh:

Substances:

Year:  2004        PMID: 15482188     DOI: 10.1586/14787210.2.2.227

Source DB:  PubMed          Journal:  Expert Rev Anti Infect Ther        ISSN: 1478-7210            Impact factor:   5.091


  3 in total

1.  Effects of amoxicillin subinhibitory concentrations on the cross-protection developed by pneumococcal antibodies in mouse sepsis caused by an amoxicillin-resistant serotype 6B Streptococcus pneumoniae strain.

Authors:  D Tarragó; L Aguilar; M J Giménez; A Fenoll; J Casal
Journal:  Antimicrob Agents Chemother       Date:  2004-11       Impact factor: 5.191

2.  Impact of antimicrobial dosing regimen on evolution of drug resistance in vivo: fluconazole and Candida albicans.

Authors:  D Andes; A Forrest; A Lepak; J Nett; K Marchillo; L Lincoln
Journal:  Antimicrob Agents Chemother       Date:  2006-07       Impact factor: 5.191

3.  Development of Antibiotic Resistance during Simulated Treatment of Pseudomonas aeruginosa in Chemostats.

Authors:  Yanfang Feng; Caspar J Hodiamont; Reinier M van Hest; Stanley Brul; Constance Schultsz; Benno H Ter Kuile
Journal:  PLoS One       Date:  2016-02-12       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.