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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

Krairerk Pitaksontayothin

Krairerk Pitaksontayothin

Department of Pharmacy, Faculty of Pharmacy, Silpakorn UniversityNakhon Pathom, Thailand
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Pitaksontayothin, Krairerk
, 
Wichai Santimaleeworagun

Wichai Santimaleeworagun

  • Department of Pharmacy, Faculty of Pharmacy, Silpakorn UniversityNakhon Pathom, Thailand
  • Antibiotic Optimization and Patient Care Project by Pharmaceutical Initiative for Resistant Bacteria and Infectious Diseases Working Group (PIRBIG), Faculty of Pharmacy, Silpakorn UniversityNakhon Pathom, Thailand
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Santimaleeworagun, Wichai
, 
Manat Pongchaidecha

Manat Pongchaidecha

Department of Pharmacy, Faculty of Pharmacy, Silpakorn UniversityNakhon Pathom, Thailand
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Pongchaidecha, Manat
, 
Jantana Houngsaitong

Jantana Houngsaitong

Department of Pharmacy, Faculty of Pharmacy, Mahidol UniversityBangkok, Thailand
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Houngsaitong, Jantana
 e 
Panuwit Srisena

Panuwit Srisena

Pharmacy Department, Chaoprayayomraj HospitalSuphan Buri, Thailand
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Srisena, Panuwit
  
21 mar 2018
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's Cover Image
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Categoria dell'articolo: Brief communication
Pubblicato online: 21 mar 2018
Pagine: 379 - 386
DOI: https://doi.org/10.1515/abm-2018-0011
Parole chiave
© 2017 Krairerk Pitaksontayothin, Wichai Santimaleeworagun, Manat Pongchaidecha, Jantana Houngsaitong, Panuwit Srisena
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Lingua:
Inglese
Frequenza di pubblicazione:
6 volte all'anno
Argomenti della rivista:
Medicina, Professioni assisitive, infermieristica, Scienze medicali di base, Scienze medicali di base, altro, Medicina clinica, Medicina clinica, altro
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