Literature DB >> 23798336

Clinical laboratory-based assay methodologies may underestimate and increase variability of vancomycin protein binding in hospitalized patients.

Jared L Crandon1, Shawn H MacVane, David P Nicolau.   

Abstract

STUDY
OBJECTIVE: To evaluate and compare the percent protein binding of vancomycin in hospitalized patients by using a clinical or research laboratory-derived assay methodology, and to evaluate potential patient characteristics accounting for alterations in protein binding.
DESIGN: Prospective noninterventional cohort study.
SETTING: Single-center tertiary care medical center. PATIENTS: A total of 55 hospitalized adults who were receiving vancomycin for a suspected or documented infection between August and November 2011 and required therapeutic drug monitoring.
MEASUREMENTS AND MAIN RESULTS: Vancomycin protein-binding studies were conducted by using ultracentrifugation of 63 blood samples collected from the 55 patients for therapeutic drug monitoring as part of clinical practice. Total and free drug concentrations were assayed in the research laboratory by using high-performance liquid chromatography (HPLC) and in the clinical laboratory by using fluorescence polarization immunoassay (FPIA). Multivariate linear regression analysis was performed to identify patient variables that were predictive of vancomycin protein binding. The average protein binding was statistically significantly lower and more variable when assayed by FPIA compared with HPLC (mean ± SD 47.3 ± 13.0% vs 54.6 ± 9.5%, p<0.001). Multivariate analyses showed that after controlling for days of vancomycin therapy, patients in the intensive care unit (ICU) had a protein binding value that was 8.4% lower than non-ICU patients (p=0.005).
CONCLUSION: Using research laboratory-based HPLC methodology, we identified an average vancomycin protein binding of 54.6% with considerably less variability than reported in the literature using clinical-based assay methodologies. Further, we identified patient factors that may likewise have an impact on this value. Future studies of vancomycin protein binding should consider use of a nonclinical assay to minimize methodological-induced variability.
© 2013 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  FPIA; HPLC; intensive care unit; protein binding; vancomycin

Mesh:

Substances:

Year:  2013        PMID: 23798336     DOI: 10.1002/phar.1323

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  5 in total

1.  Factors impacting unbound vancomycin concentrations in neonates and young infants.

Authors:  Anne Smits; Steven Pauwels; Matthijs Oyaert; Nele Peersman; Isabel Spriet; Veroniek Saegeman; Karel Allegaert
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-05-16       Impact factor: 3.267

2.  Factors impacting unbound vancomycin concentrations in different patient populations.

Authors:  Matthijs Oyaert; Isabel Spriet; Karel Allegaert; Anne Smits; Kim Vanstraelen; Nele Peersman; Joost Wauters; Jan Verhaegen; Pieter Vermeersch; Steven Pauwels
Journal:  Antimicrob Agents Chemother       Date:  2015-09-08       Impact factor: 5.191

3.  Prediction of Unbound Vancomycin Levels in Intensive Care Unit and Nonintensive Care Unit Patients: Total Bilirubin May Play an Important Role.

Authors:  Xiao Li; Wen Xu; Ran Li; Qie Guo; Xiangpeng Li; Jialin Sun; Shuhong Sun; Jing Li
Journal:  Infect Drug Resist       Date:  2021-07-02       Impact factor: 4.003

4.  A bio-artificial poly([D,L]-lactide-co-glycolide) drug-eluting nanofibrous periosteum for segmental long bone open fractures with significant periosteal stripping injuries.

Authors:  Ying-Chao Chou; Yi-Shiun Cheng; Yung-Heng Hsu; Yi-Hsun Yu; Shih-Jung Liu
Journal:  Int J Nanomedicine       Date:  2016-03-08

Review 5.  Clinical Practice Guidelines for Therapeutic Drug Monitoring of Vancomycin in the Framework of Model-Informed Precision Dosing: A Consensus Review by the Japanese Society of Chemotherapy and the Japanese Society of Therapeutic Drug Monitoring.

Authors:  Kazuaki Matsumoto; Kazutaka Oda; Kensuke Shoji; Yuki Hanai; Yoshiko Takahashi; Satoshi Fujii; Yukihiro Hamada; Toshimi Kimura; Toshihiko Mayumi; Takashi Ueda; Kazuhiko Nakajima; Yoshio Takesue
Journal:  Pharmaceutics       Date:  2022-02-23       Impact factor: 6.321

  5 in total

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