Literature DB >> 31836287

Observational study to determine the optimal dose of daptomycin based on pharmacokinetic/pharmacodynamic analysis.

Tomoyuki Yamada1, Yukimasa Ooi2, Kazutaka Oda3, Yuriko Shibata4, Fumiko Kawanishi2, Kaoru Suzuki5, Masami Nishihara5, Takashi Nakano6, Miyako Yoshida7, Takahiro Uchida7, Takahiro Katsumata5, Akira Ukimura8.   

Abstract

High doses of daptomycin (DAP) (>6 mg/kg/day) have been preliminarily recommended in recent practical guidelines for methicillin-resistant Staphylococcus aureus infection, to achieve better clinical effects. While such doses can elevate the plasma trough concentration (Cmin) of DAP, there is an associated risk of creatine phosphokinase (CPK) elevation warranting further investigation. In the current study relationships between DAP Cmin and CPK elevation were investigated, and optimal DAP doses were determined. Plasma DAP concentrations were measured in 20 patients. Logistic regression analysis was performed to assess relationships between DAP Cmin and CPK elevation, then a population pharmacokinetic model of DAP was developed. To determine an optimal DAP dose a Monte Carlo simulation (MCS) was performed to minimize the risk of CPK elevation and maximize the probability of successful treatment. In logistic regression analysis DAP Cmin was significantly associated with CPK elevation (odds ratio 1.21, p = 0.048). With respect to dose-dependent increases in the probability of CPK elevation and exposure to DAP, MCS estimated an optimal DAP dose of 4-6 mg/kg/day, corresponding to a minimum inhibitory concentration (MIC) of ≤0.5 μg/mL. For an MIC of 1 μg/mL, MCS estimated an optimal DAP dose of 10 mg/kg/day. However, the probability of CPK elevation associated with high doses of DAP was higher than that associated with the approved doses. In cases where high doses of DAP are administered, close CPK monitoring is required and therapeutic drug monitoring of DAP may be desirable.
Copyright © 2019 Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Creatine phosphokinase; Daptomycin; Pharmacodynamics; Pharmacokinetics; Therapeutic drug monitoring

Mesh:

Substances:

Year:  2019        PMID: 31836287     DOI: 10.1016/j.jiac.2019.11.002

Source DB:  PubMed          Journal:  J Infect Chemother        ISSN: 1341-321X            Impact factor:   2.211


  5 in total

Review 1.  Clinical Pharmacokinetics of Daptomycin.

Authors:  Nicolas Gregoire; Alexia Chauzy; Julien Buyck; Blandine Rammaert; William Couet; Sandrine Marchand
Journal:  Clin Pharmacokinet       Date:  2020-12-14       Impact factor: 6.447

2.  Identification of Risk Factors for Daptomycin-Associated Creatine Phosphokinase Elevation and Development of a Risk Prediction Model for Incidence Probability.

Authors:  Masaru Samura; Naoki Hirose; Takenori Kurata; Keisuke Takada; Fumio Nagumo; Sakura Koshioka; Junichi Ishii; Masaki Uchida; Junki Inoue; Yuki Enoki; Kazuaki Taguchi; Ryuji Higashita; Norifumi Kunika; Koji Tanikawa; Kazuaki Matsumoto
Journal:  Open Forum Infect Dis       Date:  2021-11-10       Impact factor: 3.835

Review 3.  Efficacy and Safety of Daptomycin versus Vancomycin for Bacteremia Caused by Methicillin-Resistant Staphylococcus aureus with Vancomycin Minimum Inhibitory Concentration > 1 µg/mL: A Systematic Review and Meta-Analysis.

Authors:  Masaru Samura; Yuki Kitahiro; Sho Tashiro; Hiromu Moriyama; Yuna Hamamura; Isamu Takahata; Rina Kawabe; Yuki Enoki; Kazuaki Taguchi; Yoshio Takesue; Kazuaki Matsumoto
Journal:  Pharmaceutics       Date:  2022-03-27       Impact factor: 6.321

4.  Physiologically based pharmacokinetic modeling of daptomycin dose optimization in pediatric patients with renal impairment.

Authors:  Lingling Ye; Xiang You; Jie Zhou; Chaohui Wu; Meng Ke; Wanhong Wu; Pinfang Huang; Cuihong Lin
Journal:  Front Pharmacol       Date:  2022-08-16       Impact factor: 5.988

Review 5.  Importance and Reality of TDM for Antibiotics Not Covered by Insurance in Japan.

Authors:  Fumiya Ebihara; Yukihiro Hamada; Hideo Kato; Takumi Maruyama; Toshimi Kimura
Journal:  Int J Environ Res Public Health       Date:  2022-02-22       Impact factor: 3.390

  5 in total

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