Title
Predictive performances of different therapeutic drug monitoring approaches to assess tacrolimus and mycophenolic acid exposure Predictive performances of different therapeutic drug monitoring approaches to assess tacrolimus and mycophenolic acid exposure
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
Leuven ,
Subject
Human medicine
Source (journal)
Acta clinica Belgica : supplementum. - Leuven, 1965, currens
Volume/pages
65(2010) :S:1 , p. 31-37
ISSN
0567-7386
ISI
000276999400007
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Objective: Mycophenolic acid (MPA) and Tacrolimus (TAC) are immunosuppressive drugs routinely used after solid organ transplantation. MPA and TAC have a rather narrow therapeutic window and their pharmacokinetics show considerable variability. In most centers, TDM is frequently performed based only on trough concentrations (C-0). The main objective of the present study was to compare performances of three different approaches of C-0 based TDM of these two drugs, in their ability to predict MPA and TAC area under the curve (AUC). Methods: Linear regression models and Bayesian estimators were developed based on solely on C-0 levels. Kappa and McNemar concordance and divergence tests were used to see the ability of different C-0 TDM approaches to predict the same dosage recommendation as AUC TDM. Results: 52% and 57% of the observed AUC values from patients receiving a fixed dose were outside the recommended therapeutic range for MPA and TAC, respectively. For both TAC and MPA, the Bayesian estimators performed much better than the two other approaches, followed by linear regression models.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000276999400007&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000276999400007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Handle