Literature DB >> 25301231

Vancomycin pharmacokinetic models: informing the clinical management of drug-resistant bacterial infections.

Chris Stockmann1, Jessica K Roberts, Tian Yu, Jonathan E Constance, Catherijne A J Knibbe, Michael G Spigarelli, Catherine M T Sherwin.   

Abstract

This review aims to critically evaluate the pharmacokinetic literature describing the use of vancomycin in the treatment of methicillin-resistant Staphylococcus aureus (MRSA) infections. Guidelines recommend that trough concentrations be used to guide vancomycin dosing for the treatment of MRSA infections; however, numerous in vitro, animal model and clinical studies have demonstrated that the therapeutic effectiveness of vancomycin is best described by the area under the concentration versus time curve (AUC) divided by the minimum inhibitory concentration (MIC) of the infecting organism (AUC/MIC). Among patients with lower respiratory tract infections, an AUC/MIC ≥400 was associated with a superior clinical and bacteriological response. Similarly, patients with MRSA bacteremia who achieved an Etest AUC/MIC ≥320 within 48 h were 50% less likely to experience treatment failure. For other patient populations and different clinical syndromes (e.g., children, the elderly, patients with osteomyelitis, etc.), pharmacokinetic/pharmacodynamic studies and prospective clinical trials are needed to establish appropriate therapeutic targets.

Entities:  

Keywords:  MRSA; Staphylococcus aureus; aminoglycoside; antibiotic; critical care; glycopeptide; infectious disease; pharmacodynamic; pharmacometrics

Mesh:

Substances:

Year:  2014        PMID: 25301231     DOI: 10.1586/14787210.2014.966081

Source DB:  PubMed          Journal:  Expert Rev Anti Infect Ther        ISSN: 1478-7210            Impact factor:   5.091


  7 in total

1.  Two Innovative Approaches to Optimize Vancomycin Dosing Using Estimated AUC after First Dose: Validation Using Data Generated from Population PK Model Coupled with Monte-Carlo Simulation and Comparison with the First-Order PK Equation Approach.

Authors:  Qingxia Liu; Huiping Huang; Baohua Xu; Dandan Li; Maobai Liu; Imam H Shaik; Xuemei Wu
Journal:  Pharmaceutics       Date:  2022-05-07       Impact factor: 6.525

2.  Towards Rational Dosing Algorithms for Vancomycin in Neonates and Infants Based on Population Pharmacokinetic Modeling.

Authors:  Esther J H Janssen; Pyry A J Välitalo; Karel Allegaert; Roosmarijn F W de Cock; Sinno H P Simons; Catherine M T Sherwin; Johan W Mouton; Johannes N van den Anker; Catherijne A J Knibbe
Journal:  Antimicrob Agents Chemother       Date:  2015-12-07       Impact factor: 5.191

3.  Population pharmacokinetics of vancomycin and AUC-guided dosing in Chinese neonates and young infants.

Authors:  Yewei Chen; Dan Wu; Min Dong; Yiqing Zhu; Jinmiao Lu; Xiaoxia Li; Chao Chen; Zhiping Li
Journal:  Eur J Clin Pharmacol       Date:  2018-03-30       Impact factor: 2.953

4.  Predictive Performance of a Vancomycin Population Pharmacokinetic Model in Neonates.

Authors:  Chris Stockmann; Adam L Hersh; Jessica K Roberts; Jiraganya Bhongsatiern; Ernest K Korgenski; Michael G Spigarelli; Catherine M T Sherwin; Adam Frymoyer
Journal:  Infect Dis Ther       Date:  2015-05-22

5.  Coagulase negative staphylococcal sepsis in neonates: do we need to adapt vancomycin dose or target?

Authors:  Helgi Padari; Kersti Oselin; Tõnis Tasa; Tuuli Metsvaht; Krista Lõivukene; Irja Lutsar
Journal:  BMC Pediatr       Date:  2016-12-08       Impact factor: 2.125

6.  Using a Vancomycin PBPK Model in Special Populations to Elucidate Case-Based Clinical PK Observations.

Authors:  Chie Emoto; Trevor N Johnson; Brooks T McPhail; Alexander A Vinks; Tsuyoshi Fukuda
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-02-15

Review 7.  Diagnostic and medical needs for therapeutic drug monitoring of antibiotics.

Authors:  Claude Mabilat; Marie Francoise Gros; David Nicolau; Johan W Mouton; Julien Textoris; Jason A Roberts; Menino O Cotta; Alex van Belkum; Isabelle Caniaux
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2020-05       Impact factor: 3.267

  7 in total

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