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Simplified dosing regimens of teicoplanin for patient groups stratified by renal function and weight using Monte Carlo simulation

Authors :
Toshio Kubota
Toshiharu Nonaka
Ryozo Oishi
Takaaki Yamada
Takehiro Kawashiri
Nobuaki Egashira
Takahisa Yano
Source :
International Journal of Antimicrobial Agents. 40:344-348
Publication Year :
2012
Publisher :
Elsevier BV, 2012.

Abstract

The purpose of this study was (i) to determine the optimal dosage of teicoplanin for each patient group stratified by renal function and weight based on a population pharmacokinetic model and observed distribution of patient characteristics and (ii) to develop new simplified dosing regimens designed to achieve 15-30 μg/mL. Patient data were collected retrospectively from routine therapeutic drug monitoring files of adult patients who were given the standard loading dose regimen of teicoplanin (400 mg twice on Day 1, followed by 400 mg once daily for 2 days) and whose trough concentration was measured just before administration on Day 4. Monte Carlo simulation was conducted to estimate the trough concentration at 72 h after the initial loading dose (C(min)(72 h)) and at steady state (C(ss)(min)). The percentage of observed C(min)(72 h) in patients who received the standard loading dose regimen outside the non-parametric 90% prediction interval (from 5th to 95th percentile) of the simulated C(min)(72 h) was10%. Simplified loading dose and maintenance dose regimens for each group stratified by renal function and weight were created to achieve C(min)(72 h) and C(ss)(min) of 15 μg/mL and 20-25 μg/mL, respectively. The percentage of C(min)(72 h) and C(ss)(min) in the range 15-30 μg/mL was 43-65% and 61-82% across each renal function and weight strata, respectively. These new simplified dosing regimens of teicoplanin could be helpful in individual adjustment of the loading and maintenance doses to achieve 15-30 μg/mL.

Details

ISSN :
09248579
Volume :
40
Database :
OpenAIRE
Journal :
International Journal of Antimicrobial Agents
Accession number :
edsair.doi.dedup.....d356c3d0716c323aed847c63b2c08dac