Potential benefit of Bayesian forecasting for therapeutic drug monitoring in neonates.
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.
Pons
Gérard
G
Perinatal and Pediatric Pharmacology, Saint-Vincent de Paul Hospital, René Descartes University, Paris, France. gerard.pons@svp.ap-hop-paris.fr
Tréluyer
Jean-Marc
JM
Dimet
Jérôme
J
Merlé
Yann
Y
D001499:Bayes Theorem; D016903:Drug Monitoring / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D007231:Infant, Newborn; D004364:Pharmaceutical Preparations / Q000008:administration & dosage
D004364:Pharmaceutical Preparations