Potential benefit of Bayesian forecasting for therapeutic drug monitoring in neonates
| Autor: | Gérard Pons, Jérôme Dimet, Jean-Marc Tréluyer, Yann Merlé |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Pharmacology
Drug plasma concentration medicine.medical_specialty education.field_of_study medicine.diagnostic_test business.industry Population Bayesian probability Infant Newborn Bayes Theorem Biological fluid Surgery Quality of life (healthcare) Pharmaceutical Preparations Therapeutic drug monitoring Recien nacido medicine Humans Pharmacology (medical) Drug Monitoring Intensive care medicine education business |
| Zdroj: | Therapeutic drug monitoring. 24(1) |
| ISSN: | 0163-4356 |
| Popis: | Therapeutic drug monitoring in neonate has been hampered by invasiveness of blood samplings raising ethical problems. A methodologic approach has been developped in adults and in children that is still unsufficiently developped in neonates, the Bayesian forecasting of drug plasma concentration. This method is particularly attractive in neonates using a few blood samples from an individual patient and more informations from a prior patient sample representative of the population the individual patient belongs to. The present article aims at reviewing the different procedures and methods to minimize invasiveness during therapeutic drug monitoring in neonate and at reviewing the methods for improving the quality of different dose adjustments using a Bayesian approach. |
| Databáze: | OpenAIRE |
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