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The use of Monte Carlo simulation to predict vancomycin dosage for methicillin-resistant Staphylococcus aureus in Thai patients of various ages and with varying degrees of renal function Cover

The use of Monte Carlo simulation to predict vancomycin dosage for methicillin-resistant Staphylococcus aureus in Thai patients of various ages and with varying degrees of renal function

Open Access
|Mar 2018

Authors

Krairerk Pitaksontayothin

Department of Pharmacy, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand

Wichai Santimaleeworagun

santimaleeworag_w@su.ac.th

Department of Pharmacy, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand
Antibiotic Optimization and Patient Care Project by Pharmaceutical Initiative for Resistant Bacteria and Infectious Diseases Working Group (PIRBIG), Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand

Manat Pongchaidecha

pongchaidecha_m@su.ac.th

Department of Pharmacy, Faculty of Pharmacy, Silpakorn University, Nakhon Pathom, Thailand

Jantana Houngsaitong

Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand

Panuwit Srisena

Pharmacy Department, Chaoprayayomraj Hospital, Suphan Buri, Thailand
DOI: https://doi.org/10.1515/abm-2018-0011 | Journal eISSN: 1875-855X | Journal ISSN: 1905-7415
Language: English
Page range: 379 - 386
Published on: Mar 21, 2018
Published by: Chulalongkorn University
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2018 Krairerk Pitaksontayothin, Wichai Santimaleeworagun, Manat Pongchaidecha, Jantana Houngsaitong, Panuwit Srisena, published by Chulalongkorn University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.