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Factors on trough teicoplanin levels, associations between levels, efficacy and safety in patients with gram-positive infections

  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Objective: The objective of this study was to identify the factors influencing trough teicoplanin concentrations (Cmin), to investigate the relationship between teicoplanin Cmin with efficacy and safety, and to determine a target therapeutic concentration. Methods: An analysis was performed on 95 serum concentrations from 50 patients with gram-positive infections who received teicoplanin treatment. Teicoplanin serum concentrations were measured by high-performance liquid chromatography. Univariate and multivariable analysis were performed to investigate the effect of independent variables on teicoplanin Cmin. A logistic regression analysis was used to determine the relationship between teicoplanin Cmin and efficacy and safety. Results: Teicoplanin therapy was effective in 74.0% (37/50) of patients, and 10.0% (5/50) of patients exhibited signs of adverse events. Using multivariable linear regression, two covariates were found to be a significant effect on teicoplanin Cmin: dosage (mg/kg), and creatinine clearance rate (CLcr). There was no covariate that has a significant impact on the safety of teicoplanin and only teicoplanin Cmin has a significant impact on the efficacy of treatment in the logistics regression. The logistics regression analysis showed that teicoplanin Cmin of 10 mg/L was associated with a 79.4% probability of success response. Conclusions: This study highlighted that teicoplanin Cmin was strongly influenced by the values of dosage (mg/kg) and CLcr and the teicoplanin Cmin range of 10-20 mg/L was identified as the therapeutic target with optimum clinical efficacy and safety.

Original languageEnglish
Pages (from-to)356-362
Number of pages7
JournalInternational Journal of Clinical Pharmacology and Therapeutics
Volume53
Issue number5
DOIs
StatePublished - 1 May 2015

Keywords

  • Clinical response
  • Logistical regression
  • Trough concentrations

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