↓ Skip to main content

How to optimise antimicrobial prescriptions in the Intensive Care Unit: principles of individualised dosing using pharmacokinetics and pharmacodynamics

Overview of attention for article published in International Journal of Antimicrobial Agents, January 2012
Altmetric Badge

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
88 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
How to optimise antimicrobial prescriptions in the Intensive Care Unit: principles of individualised dosing using pharmacokinetics and pharmacodynamics
Published in
International Journal of Antimicrobial Agents, January 2012
DOI 10.1016/j.ijantimicag.2011.11.002
Pubmed ID
Authors

Jason A. Roberts, Gavin M. Joynt, Gordon Y.S. Choi, Charles D. Gomersall, Jeffrey Lipman

Abstract

Optimising antimicrobial dosing for critically ill patients is highly challenging and when it is not achieved can lead to worse patient outcomes. To this end, use of dosing regimens recommended in package inserts from drug manufacturers is frequently insufficient to guide dosing in these patients appropriately. Whilst the effect of critical illness pathophysiology on the pharmacokinetic (PK) behaviour of antimicrobials can be profound, the variability of these changes between patients is still being quantified. The PK effects of hypoproteinaemia, organ dysfunction and the presence of augmented renal clearance may lead to plasma antimicrobial concentrations that are difficult to predict at the bedside, which may result in excess toxicity or suboptimal bacterial killing. This paper outlines the factors that affect pharmacokinetics in critically ill patients and how knowledge of these factors can increase the likelihood of achieving optimal antimicrobial plasma concentrations. In selected settings, we advocate individualised dosing of renally cleared antimicrobials using physiological data such as measured creatinine clearance and published non-renal clearance data. Where such data do not exist, therapeutic drug monitoring may be a useful alternative and has been associated with significant clinical benefits, although it is not currently widely available.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 16%
Other 13 15%
Researcher 13 15%
Student > Master 11 13%
Student > Postgraduate 7 8%
Other 16 18%
Unknown 14 16%
Readers by discipline Count As %
Medicine and Dentistry 48 55%
Pharmacology, Toxicology and Pharmaceutical Science 14 16%
Immunology and Microbiology 3 3%
Computer Science 2 2%
Agricultural and Biological Sciences 2 2%
Other 2 2%
Unknown 17 19%