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Population pharmacokinetic modeling and optimal sampling strategy for Bayesian estimation of amikacin exposure in critically ill septic patients.

par Delattre, Isabelle Karine;Musuamba, Flora T;Nyberg, J.;Taccone, Fabio Silvio ;Laterre, Pierre-Francois;Verbeeck, Roger K.;Jacobs, Frédérique ;Wallemacq, Pierre
Référence Therapeutic drug monitoring, 32, 6, page (749-756)
Publication Publié, 2010-12

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Titre:	Population pharmacokinetic modeling and optimal sampling strategy for Bayesian estimation of amikacin exposure in critically ill septic patients.
Auteur:	Delattre, Isabelle Karine; Musuamba, Flora T; Nyberg, J.; Taccone, Fabio Silvio; Laterre, Pierre-Francois; Verbeeck, Roger K.; Jacobs, Frédérique; Wallemacq, Pierre
Informations sur la publication:	Therapeutic drug monitoring, 32, 6, page (749-756)
Statut de publication:	Publié, 2010-12
Sujet CREF:	Sciences bio-médicales et agricoles
Mots-clés:	amikacin
	Bayesian estimation
	optimal sampling strategy
	population pharmacokinetics
	severe sepsis
MeSH keywords:	Adult
	Aged
	Aged, 80 and over
	Amikacin -- pharmacokinetics -- therapeutic use
	Anti-Bacterial Agents -- pharmacokinetics -- therapeutic use
	Bayes Theorem
	Creatinine -- blood
	Critical Illness
	Drug Monitoring -- methods
	Female
	Humans
	Male
	Metabolic Clearance Rate
	Middle Aged
	Models, Biological
	Sepsis -- blood -- drug therapy
	Tissue Distribution
Note générale:	Journal Article
	Research Support, Non-U.S. Gov't
	SCOPUS: ar.j
Langue:	Anglais
Identificateurs:	urn:issn:0163-4356
	info:doi/10.1097/FTD.0b013e3181f675c2
	info:scp/78650277930
	info:pmid/20962708