Application of PK/PD Modeling in Veterinary Field: Dose Optimization and Drug Resistance Prediction. (16th February 2016)
- Record Type:
- Journal Article
- Title:
- Application of PK/PD Modeling in Veterinary Field: Dose Optimization and Drug Resistance Prediction. (16th February 2016)
- Main Title:
- Application of PK/PD Modeling in Veterinary Field: Dose Optimization and Drug Resistance Prediction
- Authors:
- Ahmad, Ijaz
Huang, Lingli
Hao, Haihong
Sanders, Pascal
Yuan, Zonghui - Other Names:
- Omri Abdelwahab Academic Editor.
- Abstract:
- Abstract : Among veterinary drugs, antibiotics are frequently used. The true mean of antibiotic treatment is to administer dose of drug that will have enough high possibility of attaining the preferred curative effect, with adequately low chance of concentration associated toxicity. Rising of antibacterial resistance and lack of novel antibiotic is a global crisis; therefore there is an urgent need to overcome this problem. Inappropriate antibiotic selection, group treatment, and suboptimal dosing are mostly responsible for the mentioned problem. One approach to minimizing the antibacterial resistance is to optimize the dosage regimen. PK/PD model is important realm to be used for that purpose from several years. PK/PD model describes the relationship between drug potency, microorganism exposed to drug, and the effect observed. Proper use of the most modern PK/PD modeling approaches in veterinary medicine can optimize the dosage for patient, which in turn reduce toxicity and reduce the emergence of resistance. The aim of this review is to look at the existing state and application of PK/PD in veterinary medicine based on in vitro, in vivo, healthy, and disease model.
- Is Part Of:
- BioMed research international. Volume 2016(2016)
- Journal:
- BioMed research international
- Issue:
- Volume 2016(2016)
- Issue Display:
- Volume 2016, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 2016
- Issue:
- 2016
- Issue Sort Value:
- 2016-2016-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-02-16
- Subjects:
- Medicine -- Periodicals
Biology -- Periodicals
Biotechnology -- Periodicals
Life sciences -- Periodicals
610.5 - Journal URLs:
- https://www.hindawi.com/journals/bmri/ ↗
- DOI:
- 10.1155/2016/5465678 ↗
- Languages:
- English
- ISSNs:
- 2314-6133
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 22850.xml