Linked Life Data

2659322

Source:http://linkedlifedata.com/resource/pubmed/id/2659322

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1989-7-18
pubmed:abstractText
A retrospective study was conducted in 282 patients with epilepsy to assess the predictive performance of pharmacokinetic methods for individualizing dosage of phenytoin. Two population-based dosing methods (population clearance method and bayesian feedback method) and one individual-based method (the so-called linearized Michaelis-Menten method) were evaluated, when applicable, for single-point and/or 2-point dose predictions of phenytoin. In single-point predictions, we found a generally low percentage of dose calculations falling inside the +/- 10% range (48.9% and 51.1% for the population clearance and the bayesian methods, respectively). In 2-point predictions, the bayesian method was 'accurate' (dose within the +/- 10% range) in approximately 54.3% or 55.0% of cases (depending on the particular method of implementation adopted). An even worse percentage of 'accurate' dose predictions (38.3%) was obtained by using the linearized Michaelis-Menten method. Our data do not confirm results from previous studies indicating a generally good performance of pharmacokinetic methods for predicting phenytoin dosage.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0920-1211
pubmed:author
pubmed:issnType
Print
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
N
pubmed:pagination
253-61
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:articleTitle
Predictive performance of pharmacokinetic methods for phenytoin dosing: a multi-center evaluation in 282 patients with epilepsy.
pubmed:affiliation
Center for Epilepsy, University of Firenze, Florence, Italy.
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, Non-U.S. Gov't, Multicenter Study