Improved Tacrolimus Target Concentration Achievement Using Computerized Dosing in Renal Transplant Recipients-A Prospective, Randomized Study

被引:89
作者
Storset, Elisabet [1 ,2 ]
Asberg, Anders [1 ,3 ]
Skauby, Morten [1 ]
Neely, Michael [4 ]
Bergan, Stein [3 ,5 ]
Bremer, Sara [6 ]
Midtvedt, Karsten [1 ]
机构
[1] Oslo Univ Hosp, Rikshosp, Dept Transplant Med, Postbox 4950 Nydalen, N-0424 Oslo, Norway
[2] Univ Oslo, Inst Clin Med, Oslo, Norway
[3] Univ Oslo, Sch Pharm, Oslo, Norway
[4] Childrens Hosp Los Angeles, Lab Appl Pharmacokinet, Los Angeles, CA 90027 USA
[5] Oslo Univ Hosp, Dept Pharmacol, Oslo, Norway
[6] Oslo Univ Hosp, Dept Med Biochem, Oslo, Norway
关键词
KIDNEY-TRANSPLANTATION; ACUTE REJECTION; GLUCOSE-METABOLISM; CYP3A5; GENOTYPE; TROUGH LEVEL; RISK-FACTOR; OPEN-LABEL; MODEL; TRIAL; INDIVIDUALIZATION;
D O I
10.1097/TP.0000000000000708
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background. Early after renal transplantation, it is often challenging to achieve and maintain tacrolimus concentrations within the target range. Computerized dose individualization using population pharmacokinetic models may be helpful. The objective of this study was to prospectively evaluate the target concentration achievement of tacrolimus using computerized dosing compared with conventional dosing performed by experienced transplant physicians. Methods. A single-center, prospective study was conducted. Renal transplant recipients were randomized to receive either computerized or conventional tacrolimus dosing during the first 8 weeks after transplantation. The median proportion of tacrolimus trough concentrations within the target range was compared between the groups. Standard risk (target, 3-7 mu g/L) and high-risk (8-12 mu g/L) recipients were analyzed separately. Results. Eighty renal transplant recipients were randomized, and 78 were included in the analysis (computerized dosing (n = 39): 32 standard risk/7 high-risk, conventional dosing (n = 39): 35 standard risk/4 high-risk). A total of 1711 tacrolimus whole blood concentrations were evaluated. The proportion of concentrations per patient within the target range was significantly higher with computerized dosing than with conventional dosing, both in standard risk patients (medians, 90% [95% confidence interval {95% CI}, 84-95%] vs 78% [95% CI, 76-82%], respectively, P < 0.001) and in high-risk patients (medians, 77% [95% CI, 71-80%] vs 59% [95% CI, 40-74%], respectively, P = 0.04). Conclusions. Computerized dose individualization improves target concentration achievement of tacrolimus after renal transplantation. The computer software is applicable as a clinical dosing tool to optimize tacrolimus exposure and may potentially improve long-term outcome.
引用
收藏
页码:2158 / 2166
页数:9
相关论文
共 45 条
[1]   Inclusion of CYP3A5 genotyping in a nonparametric population model improves dosing of tacrolimus early after transplantation [J].
Asberg, Anders ;
Midtvedt, Karsten ;
van Guilder, Mike ;
Storset, Elisabet ;
Bremer, Sara ;
Bergan, Stein ;
Jelliffe, Roger ;
Hartmann, Anders ;
Neely, Michael N. .
TRANSPLANT INTERNATIONAL, 2013, 26 (12) :1198-1207
[2]   Computer-Assisted Cyclosporine Dosing Performs Better Than Traditional Dosing in Renal Transplant Recipients: Results of a Pilot Study [J].
Asberg, Anders ;
Falck, Pal ;
Undset, Liv H. ;
Dorje, Christina ;
Holdaas, Hallvard ;
Hartmann, Anders ;
Midtvedt, Karsten .
THERAPEUTIC DRUG MONITORING, 2010, 32 (02) :152-158
[3]   A Systematic Review of the Effect of CYP3A5 Genotype on the Apparent Oral Clearance of Tacrolimus in Renal Transplant Recipients [J].
Barry, Arden ;
Levine, Marc .
THERAPEUTIC DRUG MONITORING, 2010, 32 (06) :708-714
[4]  
Bergmann TK, 2014, THER DRUG MONIT, V36, P62, DOI 10.1097/FTD.0b013e31829f1ab8
[5]   Improved clinical outcome of paediatric bone marrow recipients using a test dose and Bayesian pharmacokinetic individualization of busulfan dosage regimens [J].
Bleyzac, N ;
Souillet, G ;
Magron, P ;
Janoly, A ;
Martin, P ;
Bertrand, Y ;
Galambrun, C ;
Dai, Q ;
Maire, P ;
Jelliffe, RW ;
Aulagner, G .
BONE MARROW TRANSPLANTATION, 2001, 28 (08) :743-751
[6]  
Boots JMM, 2002, J AM SOC NEPHROL, V13, P221, DOI 10.1681/ASN.V131221
[7]   Trough Tacrolimus Concentrations in the First Week After Kidney Transplantation Are Related to Acute Rejection [J].
Borobia, Alberto M. ;
Romero, Ivan ;
Jimenez, Carlos ;
Gil, Fernando ;
Ramirez, Elena ;
De Gracia, Raquel ;
Escuin, Fernando ;
Gonzalez, Elena ;
Carcas Sansuan, Antonio J. .
THERAPEUTIC DRUG MONITORING, 2009, 31 (04) :436-442
[8]   High within-patient variability in the clearance of tacrolimus is a risk factor for poor long-term outcome after kidney transplantation [J].
Borra, Lennaert C. P. ;
Roodnat, Joke I. ;
Kal, Judith A. ;
Mathot, Ron A. A. ;
Weimar, Willem ;
van Gelder, Teun .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2010, 25 (08) :2757-2763
[9]   Tacrolimus Predose Concentrations Do Not Predict the Risk of Acute Rejection After Renal Transplantation: A Pooled Analysis From Three Randomized-Controlled Clinical Trials [J].
Bouamar, R. ;
Shuker, N. ;
Hesselink, D. A. ;
Weimar, W. ;
Ekberg, H. ;
Kaplan, B. ;
Bernasconi, C. ;
van Gelder, T. .
AMERICAN JOURNAL OF TRANSPLANTATION, 2013, 13 (05) :1253-1261
[10]   Frequency and impact of nonadherence to immunosuppressants after renal transplantation: A systematic review [J].
Butler, JA ;
Roderick, P ;
Mullee, M ;
Mason, JC ;
Peveler, RC .
TRANSPLANTATION, 2004, 77 (05) :769-776