Therapeutic drug monitoring and pharmacogenetic tests as tools in pharmacovigilance.

Détails

ID Serval
serval:BIB_D30C2EFDB3C6
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Therapeutic drug monitoring and pharmacogenetic tests as tools in pharmacovigilance.
Périodique
Drug safety
Auteur⸱e⸱s
Jaquenoud Sirot E., van der Velden J.W., Rentsch K., Eap C.B., Baumann P.
ISSN
0114-5916
Statut éditorial
Publié
Date de publication
2006
Peer-reviewed
Oui
Volume
29
Numéro
9
Pages
735-768
Langue
anglais
Notes
Publication types: Journal Article ; Review
Résumé
Therapeutic drug monitoring (TDM) and pharmacogenetic tests play a major role in minimising adverse drug reactions and enhancing optimal therapeutic response. The response to medication varies greatly between individuals, according to genetic constitution, age, sex, co-morbidities, environmental factors including diet and lifestyle (e.g. smoking and alcohol intake), and drug-related factors such as pharmacokinetic or pharmacodynamic drug-drug interactions. Most adverse drug reactions are type A reactions, i.e. plasma-level dependent, and represent one of the major causes of hospitalisation, in some cases leading to death. However, they may be avoidable to some extent if pharmacokinetic and pharmacogenetic factors are taken into consideration. This article provides a review of the literature and describes how to apply and interpret TDM and certain pharmacogenetic tests and is illustrated by case reports. An algorithm on the use of TDM and pharmacogenetic tests to help characterise adverse drug reactions is also presented. Although, in the scientific community, differences in drug response are increasingly recognised, there is an urgent need to translate this knowledge into clinical recommendations. Databases on drug-drug interactions and the impact of pharmacogenetic polymorphisms and adverse drug reaction information systems will be helpful to guide clinicians in individualised treatment choices.
Mots-clé
Adverse Drug Reaction Reporting Systems, Algorithms, Drug Interactions, Drug Monitoring/methods, Humans, Pharmaceutical Preparations/adverse effects, Pharmacogenetics
Pubmed
Web of science
Création de la notice
10/03/2008 11:54
Dernière modification de la notice
20/08/2019 16:53
Données d'usage