Population pharmacokinetic modelling of carbamazepine by using the iterative Bayesian (IT2B) and the nonparametric EM (NPEM) algorithms: implications for dosage.

OBJECTIVE: To estimate individual and population postinduction pharmacokinetics of carbamazepine (CBZ) in epileptic adult and paediatric patients who received chronic CBZ monotherapy. METHODS: We have used the USC*PACK collection of PC programs for the estimations. The preinduction CBZ metabolism wa...

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Publicado en:Journal of Clinical Pharmacy & Therapeutics Vol. 26; no. 3; pp. 213 - 224
Autores principales: Bondareva IB, Sokolov AV, Tischenkova IF, Jelliffe RW
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell 6/15/2001
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 6/15/2001
      vid: 26
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        106847581
        2003092569
        10.1046/j.1365-2710.2001.00348.x
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        atl: Population pharmacokinetic modelling of carbamazepine by using the iterative Bayesian (IT2B) and the nonparametric EM (NPEM) algorithms: implications for dosage.
      aug:
        au:
          Bondareva IB
          Sokolov AV
          Tischenkova IF
          Jelliffe RW
        affil: Laboratory of Mathematical Modelling, The Research Institute of Physico-Chemical Medicine, Moscow
      sug:
        subj:
          Carbamazepine Pharmacokinetics
          Dosage Calculation
          Nonparametric Statistics
          Adult
          Algorithms
          Carbamazepine Administration and Dosage
          Chi Square Test
          Child
          Chromatography, High Pressure Liquid
          Descriptive Statistics
          Female
          Male
          Regression
          Retrospective Design
          Russia
          Software
          T-Tests
          Human
          Adult: 19-44 years
          Child: 6-12 years
          Female
          Male
      ab: OBJECTIVE: To estimate individual and population postinduction pharmacokinetics of carbamazepine (CBZ) in epileptic adult and paediatric patients who received chronic CBZ monotherapy. METHODS: We have used the USC*PACK collection of PC programs for the estimations. The preinduction CBZ metabolism was also estimated in 16 volunteers after a single dose of CBZ (200 mg). We used a linear one-compartmental model with oral absorption and found the pharmacokinetic parameter values of CBZ behaviour to be in good agreement with those reported earlier. RESULTS: Serum CBZ concentrations correlated poorly with daily doses in both the adult and child populations. Because of the diversity within the population, use of the mean population model without knowledge of an individual patient's pharmacokinetic characteristics gives poor prediction. In contrast, the individual Bayesian posterior models gave good prediction for all subjects in the population, due to the removal of the interindividual variability. CONCLUSION: This approach permits one to individualize drug therapy for patients even when only sparse therapeutic drug monitoring (TDM) data are available. Future individual CBZ serum level predictions were acceptable from a clinical point of view (mean absolute error = 13.2 +/- 9.7%). The optimal sampling strategy approach helped to design an optimal cost-effective TDM protocol for CBZ therapy management.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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