2002
DOI: 10.1248/bpb.25.1333
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of Predictability for Vancomycin Dosage Regimens by the Bayesian Method with Japanese Population Pharmacokinetic Parameters.

Abstract: Vancomycin (VCM) is a glycopeptide antibiotic, isolated from Streptomyces orientalis, that is active against methicillin-resistant Staphylococcus aureus (MRSA). However, VCM has severe side effects, such as auditorotoxicity and nephrotoxicity, 1) at dose levels only slightly higher than the effective treatment concentration. Therefore, therapeutic drug monitoring (TDM) is important to administer VCM effectively and safely.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
9
0

Year Published

2006
2006
2022
2022

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 14 publications
(9 citation statements)
references
References 13 publications
0
9
0
Order By: Relevance
“…[5][6][7] Pharmacokinetic studies of VAN in MRSAinfected patients have been reported, [8][9][10][11] and there are also reports of population pharmacokinetic parameters in adult Japanese patients. 12) Recently, an empirical Bayesian method was widely applied to TDM data 13) and the predictability of the Bayesian forecasting methods using population pharmacokinetic parameters of Japanese patients has been examined. 14,15) There is a phenomenon of increased renal clearance, known as augmented renal clearance (ARC).…”
Section: Introductionmentioning
confidence: 99%
“…[5][6][7] Pharmacokinetic studies of VAN in MRSAinfected patients have been reported, [8][9][10][11] and there are also reports of population pharmacokinetic parameters in adult Japanese patients. 12) Recently, an empirical Bayesian method was widely applied to TDM data 13) and the predictability of the Bayesian forecasting methods using population pharmacokinetic parameters of Japanese patients has been examined. 14,15) There is a phenomenon of increased renal clearance, known as augmented renal clearance (ARC).…”
Section: Introductionmentioning
confidence: 99%
“…With TDM data using Bayesian analysis (5, 6), parameters are calculated to determine a drug administration schedule that is based on patient‐specific pharmacokinetics. There have already been several studies comparing the prediction accuracy between population pharmacokinetic (PPK) analysis based on mean population parameters and Bayesian analysis, which demonstrated the extremely good accuracy of prediction using both methods (7–9) and clinical utility (10). However, there have been no studies comparing the prediction accuracy of concentrations estimated using Bayesian analysis‐based patient‐specific parameters with measured concentrations.…”
Section: Introductionmentioning
confidence: 99%
“…11) More recently, an empirical Bayesian method has been widely applied to TDM data, 12) and the predictability of the Bayesian forecasting methodology for vancomycin with the population pharmacokinetic parameters in Japanese patients was examined. 13,14) Vancomycin is mainly eliminated into urine, and most of the pharmacokinetic variability can be explained by the degree of renal function. 15) However, there have been several reports of a difference in vancomycin pharmacokinetics between malignant and non-malignant adult 7,10) and pediatric [16][17][18] patients, suggesting malignant state to be a covariate of the pharmacokinetic variability.…”
mentioning
confidence: 99%