Literature DB >> 24513278

Pharmacokinetic-pharmacodynamic (PK-PD) modeling and the rational selection of dosage regimes for the prudent use of antimicrobial drugs.

Mark G Papich1.   

Abstract

One of the strategies to decrease inappropriate antimicrobial use in veterinary medicine is to apply pharmacokinetic-pharmacodynamic (PK-PD) principles to dosing regimens. If antimicrobials are used appropriately by applying these principles to attain targets for area-under-the-curve to MIC ratio (AUC/MIC), peak concentration to MIC ratio (CMAX/MIC), and time above MIC (T>MIC), more effective antibiotic therapy is possible, thus avoiding ineffective administration. Another mechanism whereby inappropriate antibiotic administration can be avoided is to use accurate Interpretive Criteria established by the Clinical Laboratory Standards Institute (CLSI) for breakpoint selection. Inaccurate breakpoints will encourage antibiotic administration that is likely to be ineffective. For newly approved antimicrobials, three criteria are used for determining breakpoints: PK-PD criteria, MIC distributions, and clinical response. For older (often generic drugs) evaluated by the CLSI, recent clinical data may not be available and breakpoints are derived from PK-PD principles, wild-type distributions, and Monte Carlo simulations. It is the goal of the CLSI subcommittee that these revised breakpoints will encourage more effective antimicrobial use and avoid unnecessary antimicrobial administration.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Antibiotic; Antimicrobial; Monte Carlo simulation; Pharmacodynamic; Pharmacokinetic; Resistance.

Mesh:

Substances:

Year:  2014        PMID: 24513278     DOI: 10.1016/j.vetmic.2013.12.021

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN: 0378-1135            Impact factor:   3.293


  27 in total

1.  Modelling the antimicrobial pharmacodynamics for bacterial strains with versus without acquired resistance to fluoroquinolones or cephalosporins.

Authors:  Jessica R Salas; Tara Gaire; Victoria Quichocho; Emily Nicholson; Victoriya V Volkova
Journal:  J Glob Antimicrob Resist       Date:  2021-12-16       Impact factor: 4.035

Review 2.  A Critical Review of the Pharmacokinetics, Pharmacodynamics, and Safety Data of Antibiotics in Avian Species.

Authors:  Hui Yun Soh; Prisca Xin Yi Tan; Tao Tao Magdeline Ng; Hui Ting Chng; Shangzhe Xie
Journal:  Antibiotics (Basel)       Date:  2022-05-31

3.  The effects of Mannheimia haemolytica and albendazole on marbofloxacin pharmacokinetics in lambs.

Authors:  Feray Altan; Duygu Neval Sayin Ipek; Orhan Corum; Simten Yesilmen Alp; Polat Ipek; Kamil Uney
Journal:  Trop Anim Health Prod       Date:  2019-06-23       Impact factor: 1.893

4.  Pharmacokinetics in plasma and alveolar regions of a healthy calf intramuscularly administered a single dose of orbifloxacin.

Authors:  Tetsuro Kuramae; Shingo Ishikawa; Aki Kono; Seiji Hobo
Journal:  J Vet Med Sci       Date:  2022-01-28       Impact factor: 1.267

5.  Systemic and mammary gland disposition of enrofloxacin in healthy sheep following intramammary administration.

Authors:  Cristina López; Juan José García; Matilde Sierra; María José Diez; Claudia Pérez; Ana Maria Sahagún; Nélida Fernández
Journal:  BMC Vet Res       Date:  2015-04-09       Impact factor: 2.741

6.  Integration of PK/PD for dose optimization of Cefquinome against Staphylococcus aureus causing septicemia in cattle.

Authors:  Ijaz Ahmad; Haihong Hao; Lingli Huang; Pascal Sanders; Xu Wang; Dongmei Chen; Yanfei Tao; Shuyu Xie; Kuang Xiuhua; Juan Li; Wan Dan; Zonghui Yuan
Journal:  Front Microbiol       Date:  2015-06-17       Impact factor: 5.640

7.  In vitro dynamic pharmacokinetic/pharmacodynamic(PK/PD) modeling and PK/PD cutoff of cefquinome against Haemophilus parasuis.

Authors:  Xia Xiao; Jian Sun; Yi Chen; Rui-Juan Huang; Ting Huang; Guilin Gary Qiao; Yu-Feng Zhou; Ya-Hong Liu
Journal:  BMC Vet Res       Date:  2015-02-13       Impact factor: 2.741

Review 8.  Clinical outcomes with alternative dosing strategies for piperacillin/tazobactam: a systematic review and meta-analysis.

Authors:  Hui Yang; Chao Zhang; Quanyu Zhou; Yike Wang; Lujia Chen
Journal:  PLoS One       Date:  2015-01-09       Impact factor: 3.240

9.  Mathematical modeling of the 'inoculum effect': six applicable models and the MIC advancement point concept.

Authors:  Jessica R Salas; Majid Jaberi-Douraki; Xuesong Wen; Victoriya V Volkova
Journal:  FEMS Microbiol Lett       Date:  2020-03-01       Impact factor: 2.742

10.  Antimicrobial Susceptibility of Enteric Gram Negative Facultative Anaerobe Bacilli in Aerobic versus Anaerobic Conditions.

Authors:  Zachary DeMars; Silpak Biswas; Raghavendra G Amachawadi; David G Renter; Victoriya V Volkova
Journal:  PLoS One       Date:  2016-05-18       Impact factor: 3.240

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