Dosage of phenytoin in neurocritical patients using Bayesian algorithms: a pilot study.
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.
Palabras clave
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