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Therapeutic drug monitoring of once daily aminoglycoside dosing: comparison of two methods and investigation of the optimal blood sampling strategy.

Authors :
Nezic L
Derungs A
Bruggisser M
Tschudin-Sutter S
Krähenbühl S
Haschke M
Source :
European journal of clinical pharmacology [Eur J Clin Pharmacol] 2014 Jul; Vol. 70 (7), pp. 829-37. Date of Electronic Publication: 2014 Apr 23.
Publication Year :
2014

Abstract

Purpose: Therapeutic drug monitoring of patients receiving once daily aminoglycoside therapy can be performed using pharmacokinetic (PK) formulas or Bayesian calculations. While these methods produced comparable results, their performance has never been checked against full PK profiles. We performed a PK study in order to compare both methods and to determine the best time-points to estimate AUC0-24 and peak concentrations (C max).<br />Methods: We obtained full PK profiles in 14 patients receiving a once daily aminoglycoside therapy. PK parameters were calculated with PKSolver using non-compartmental methods. The calculated PK parameters were then compared with parameters estimated using an algorithm based on two serum concentrations (two-point method) or the software TCIWorks (Bayesian method).<br />Results: For tobramycin and gentamicin, AUC0-24 and C max could be reliably estimated using a first serum concentration obtained at 1 h and a second one between 8 and 10 h after start of the infusion. The two-point and the Bayesian method produced similar results. For amikacin, AUC0-24 could reliably be estimated by both methods. C max was underestimated by 10-20% by the two-point method and by up to 30% with a large variation by the Bayesian method.<br />Conclusions: The ideal time-points for therapeutic drug monitoring of once daily administered aminoglycosides are 1 h after start of a 30-min infusion for the first time-point and 8-10 h after start of the infusion for the second time-point. Duration of the infusion and accurate registration of the time-points of blood drawing are essential for obtaining precise predictions.

Details

Language :
English
ISSN :
1432-1041
Volume :
70
Issue :
7
Database :
MEDLINE
Journal :
European journal of clinical pharmacology
Publication Type :
Academic Journal
Accession number :
24756148
Full Text :
https://doi.org/10.1007/s00228-014-1680-3