Clinical Pharmacokinetics

, Volume 21, Issue 6, pp 461–478 | Cite as

Individualising Gentamicin Dosage Regimens

A Comparative Review of Selected Models, Data Fitting Methods and Monitoring Strategies
  • Roger W. Jelliffe
  • Teresa Iglesias
  • Agneta K. Hurst
  • Kimberley A. Foo
  • Julian Rodriguez
Review Article Clinical Pharmacokinetic Concepts


The various components required for individualising clinical drug dosage regimens are reviewed, including a study of 3 types of fitting procedures, 2 types of gentamicin pharmacokinetic model and the utility of D-optimal times for obtaining serum gentamicin concentrations.

The combination of the current Bayesian fitting procedure, the kslope pharmacokinetic model [in which the elimination rate constant (kel) can change from dose to dose with changing creatinine clearance] and the explicit measurement of the assay error pattern yielded predictions of future serum gentamicin concentrations which were (a) slightly better than those found using weighted nonlinear least squares; (b) somewhat better than those found with Bayesian fitting and a fixed-kel model; (c) better than those found using the traditional linear regression fitting procedure and a fixed kel model. D-Optimally timed pairs of concentrations also predicted future concentrations at least as well, and more cost effectively.


Mean Square Error Pharmacokinetic Model Digitoxin Predicted Concentration Serum Concentration Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Adis International Limited 1991

Authors and Affiliations

  • Roger W. Jelliffe
    • 1
  • Teresa Iglesias
    • 1
  • Agneta K. Hurst
    • 1
  • Kimberley A. Foo
    • 1
  • Julian Rodriguez
    • 1
  1. 1.Laboratory of Applied PharmacokineticsUniversity of Southern California, Schools of Medicine and PharmacyLos AngelesUSA

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