Investigation of the prediction accuracy of vancomycin concentrations determined by patient-specific parameters as estimated by Bayesian analysis.

Background/Objective: There have been many studies of therapeutic drug monitoring (TDM) of vancomycin (VCM) based on Bayesian analysis, but there have been no reports of the accuracy of prediction based on Bayesian-estimated patient-specific parameters. This study was conducted to compare the accura...

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Publicado en:Journal of Clinical Pharmacy & Therapeutics Vol. 35; no. 5; pp. 527 - 533
Autores principales: Hiraki Y, Onga T, Mizoguchi A, Tsuji Y
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell Oct2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2010
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/j.1365-2710.2009.01126.x
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        atl: Investigation of the prediction accuracy of vancomycin concentrations determined by patient-specific parameters as estimated by Bayesian analysis.
      aug:
        au:
          Hiraki Y
          Onga T
          Mizoguchi A
          Tsuji Y
        affil: Department of Pharmacy, National Hospital Organization Nagasaki Medical Center, Kubara, Omura, Nagasaki
      sug:
        subj:
          Vancomycin Pharmacokinetics
          Drug Monitoring Methods
          Vancomycin Blood
          Human
          Staphylococcal Infections Drug Therapy
          Vancomycin Therapeutic Use
          Japan
          Descriptive Statistics
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Models, Biological
          Confidence Intervals
          Paired T-Tests
          Data Analysis Software
          Correlation Coefficient
          Vancomycin Administration and Dosage
          Creatinine Blood
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: Background/Objective: There have been many studies of therapeutic drug monitoring (TDM) of vancomycin (VCM) based on Bayesian analysis, but there have been no reports of the accuracy of prediction based on Bayesian-estimated patient-specific parameters. This study was conducted to compare the accuracy of prediction based on the population pharmacokinetic (PPK) method and Bayesian-estimated parameters. Method: The subjects were 22 patients who were treated with VCM for MRSA infection and whose blood was sampled twice or more during the administration period. The concentrations between the blood samples were predicted based on the concentrations in the first blood samples based on the PPK method using mean parameters for the Japanese population and Bayesian-estimated patient-specific pharmacokinetic parameters. The mean prediction error (ME), mean absolute error (MAE) and root mean squared error (RMSE) were compared to examine the accuracy of prediction based on Bayesian-estimated patient-specific parameters. Results and discussion: The mean measured VCM concentration was 10·43 ± 5·19 μg/mL, whereas the mean concentration predicted based on the PPK method was 8·52 ± 4·34 μg/mL, with an ME of −1·91, MAE of 2·93 and RMSE of 3·21. The mean concentration predicted based on patient-specific parameters was 9·62 ± 4·95 μg/mL with ME of −0·81, MAE of 1·38 and RMSE of 1·74. The ME and MAE for the concentrations predicted using patient-specific parameters were smaller compared with those predicted using the PPK method ( P = 0·0471 and 0·0003, respectively), indicating superior prediction with a significant difference between approaches. Conclusion: Prediction using Bayesian estimates of patient-specific parameters was better than by the PPK method. However, when using patient-specific parameters it is still necessary to fully understand the clinical status of the patient and frequently determine VCM concentrations.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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