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Dosage of phenytoin in neurocritical patients using Bayesian algorithms: a pilot study.
Muñoz-Pichuante, Daniel; Villa Zapata, Lorenzo; Cabrera, Salvador; Lagos, Ximena; Grandjean, Juan.
Afiliación
  • Muñoz-Pichuante D; Hospital Base de Valdivia, Unidad de Cuidados Intensivos, Valdivia, Chile.
  • Villa Zapata L; Universidad Austral de Chile, Instituto de Farmacia, Valdivia, Los Ríos, Chile.
  • Cabrera S; University of Colorado Skaggs School of Pharmacy & Pharmaceutical Sciences, Center for Pharmaceutical Outcomes Research, Denver CO, USA.
  • Lagos X; Universidad de Concepción, Facultad de Farmacia, Concepcion, Región del Bio Bio, Chile.
  • Grandjean J; Hospital Guillermo Grant Benavente, Concepcion, Región del Bio Bio, Chile.
Drug Metab Pers Ther ; 34(4)2019 12 18.
Article en En | MEDLINE | ID: mdl-31981450
Phenytoin is widely used in neurocritical patients. Owing to its high pharmacokinetic variability and narrow therapeutic range, plasma level-guided dosing has become the standard. Bayesian prediction (BP) is considered the most flexible and precise pharmacokinetic strategy among several options. A retrospective study of BP dosage adjustment in 20 patients (35 plasma measures) was developed. Results indicated that 70% of phenytoin plasma levels of first plasma samples were beyond the therapeutic range. Phenytoin doses were also estimated according to BP for all patients. The measurements confirmed the ability of the strategy to lead to optimal dosage in 80% of patients, thus indicating a three-fold improvement over the basing dosage adjustment recommended in the literature.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenitoína / Algoritmos / Teorema de Bayes Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Drug Metab Pers Ther Año: 2019 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fenitoína / Algoritmos / Teorema de Bayes Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Drug Metab Pers Ther Año: 2019 Tipo del documento: Article País de afiliación: Chile Pais de publicación: Alemania