2016
DOI: 10.1248/yakushi.16-00025
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Improvement of Predictivity of Teicoplanin Serum Trough Concentrations at Steady State Calculated by Vancomycin Pharmacokinetic Parameter

Abstract: According to a recent study and meta-analysis, trough levels of >10 mg/mL teicoplanin (TEIC) may be acceptable for the treatment of uncomplicated infection, but no method of TEIC personalized medicine has been established. Vancomycin (VCM) and TEIC are glycopeptide antibiotic agents eŠective against methicillin-resistance Staphyloccocus aureus. This study aimed to establish TEIC personalized medicine at a steady state calculated by VCM pharmacokinetic parameters. Bayesian forecasting and population mean metho… Show more

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Cited by 3 publications
(2 citation statements)
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“…However, the target value of AUC 24 /MIC for teicoplanin did not have been extensively studied. Clinical efficacy also could be assessed by the teicoplanin trough concentration (Harding and Sorgel, 2000;Kobayashi et al, 2016), and the trough concentration of 10-30 mg/L had a guarantee for most infections as previously reported. In order to reach the trough level, children with different renal functions required different loading and maintenance doses because of their different teicoplanin CL.…”
Section: Discussionmentioning
confidence: 87%
“…However, the target value of AUC 24 /MIC for teicoplanin did not have been extensively studied. Clinical efficacy also could be assessed by the teicoplanin trough concentration (Harding and Sorgel, 2000;Kobayashi et al, 2016), and the trough concentration of 10-30 mg/L had a guarantee for most infections as previously reported. In order to reach the trough level, children with different renal functions required different loading and maintenance doses because of their different teicoplanin CL.…”
Section: Discussionmentioning
confidence: 87%
“…6 So far, some vancomycin concentration prediction algorithms were developed using linear regression analysis in adult and pediatric patients. 9,10 The rapidly developing machine learning methods can help promote data-driven estimation when predicting from multiple variables and capture non-linear variable relations to achieve high accuracy in predicting clinical outcomes. 11,12 This article aims to establish an optimal model to predict vancomycin trough concentrations in pediatric patients by using machine learning methods.…”
Section: Introductionmentioning
confidence: 99%