Volume 96, Issue 11 pp. 3125-3139

Pharmacokinetic prediction for intravenous β-lactam antibiotics in pediatric patients

Kenji Shimamura

Kenji Shimamura

Biostatistics Department, Shionogi & Co., Ltd. Sagisu 5-12-4, Fukushima-ku, Osaka 553-0002, Japan

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Toshihiro Wajima

Toshihiro Wajima

Biostatistics Department, Shionogi & Co., Ltd. Sagisu 5-12-4, Fukushima-ku, Osaka 553-0002, Japan

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Yoshitaka Yano

Corresponding Author

Yoshitaka Yano

Biostatistics Department, Shionogi & Co., Ltd. Sagisu 5-12-4, Fukushima-ku, Osaka 553-0002, Japan

Center for Integrative Education of Pharmacy Frontier, Graduate School of Pharmaceutical Sciences, Kyoto University, Yoshida-Shimoadachi 46-29, Kyoto 606-8501, Japan

Biostatistics Department, Shionogi & Co., Ltd. Sagisu 5-12-4, Fukushima-ku, Osaka 553-0002, Japan. Telephone: +81-75-753-9254; Fax: +81-75-753-4502.Search for more papers by this author
First published: 25 September 2007
Citations: 4

Abstract

A method for predicting pharmacokinetics in pediatric patients for intravenous β-lactam antibiotics is proposed. We focused on the allometric relationships of pharmacokinetic parameters with individual body weights (BW) in human including healthy adults and pediatric patients. Drug concentration data for 15 intravenous β-lactam antibiotics were collected retrospectively from the published articles and the individual pharmacokinetic parameters were re-calculated. A mixed effect modeling (MEM) was applied for the allometric relationship for those β-lactam antibiotics, and mean and variances of inter-drug variability for the allometric parameters and also variance for intra-drug (residual) variability were estimated. Then drug-specific allometric parameters were estimated by an empirical Bayesian method using the pharmacokinetic parameters for a drug only in healthy adults as observations, and finally the individual pharmacokinetic parameters in pediatric patients were predicted. The predictability of the method was evaluated by the leave-one-out method. We also demonstrated a method for simulating plasma concentration–time profiles in pediatric patients, and the predicted time–course curves generally coincided well with the actual plasma concentration data for the tested drugs. © 2007 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 96: 3125–3139, 2007

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