How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?

Mycophenolic acid (MPA) is a potent immunosuppressant agent, which is increasingly being used in the treatment of patients with various autoimmune diseases. Dosing to achieve a specific target MPA area under the concentration-time curve from 0 to 12 h post-dose (AUC12) is likely to lead to better tr...

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Main Authors: Abd. Rahman, Nurul Azrin, Tett, Susan E., Staatz, Christine E.
Format: Article
Language:English
English
Published: Springer International Publishing AG 2014
Subjects:
Online Access:http://irep.iium.edu.my/40209/
http://irep.iium.edu.my/40209/1/Azrin.pdf
http://irep.iium.edu.my/40209/4/40209_How%20accurate%20and%20precise%20are%20limited.SCOPUSpdf.pdf
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spelling iium-402092018-06-20T06:57:50Z http://irep.iium.edu.my/40209/ How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease? Abd. Rahman, Nurul Azrin Tett, Susan E. Staatz, Christine E. RM Therapeutics. Pharmacology RS Pharmacy and materia medica Mycophenolic acid (MPA) is a potent immunosuppressant agent, which is increasingly being used in the treatment of patients with various autoimmune diseases. Dosing to achieve a specific target MPA area under the concentration-time curve from 0 to 12 h post-dose (AUC12) is likely to lead to better treatment outcomes in patients with autoimmune disease than a standard fixed-dose strategy. This review summarizes the available published data around concentration monitoring strategies for MPA in patients with autoimmune disease and examines the accuracy and precision of methods reported to date using limited concentration-time points to estimate MPA AUC12. A total of 13 studies were identified that assessed the correlation between single time points and MPA AUC12 and/or examined the predictive performance of limited sampling strategies in estimating MPA AUC12. The majority of studies investigated mycophenolate mofetil (MMF) rather than the enteric-coated mycophenolate sodium (EC-MPS) formulation of MPA. Correlations between MPA trough concentrations and MPA AUC12 estimated by full concentration-time profiling ranged from 0.13 to 0.94 across ten studies, with the highest associations (r (2) = 0.90-0.94) observed in lupus nephritis patients. Correlations were generally higher in autoimmune disease patients compared with renal allograft recipients and higher after MMF compared with EC-MPS intake. Four studies investigated use of a limited sampling strategy to predict MPA AUC12 determined by full concentration-time profiling. Three studies used a limited sampling strategy consisting of a maximum combination of three sampling time points with the latest sample drawn 3-6 h after MMF intake, whereas the remaining study tested all combinations of sampling times. MPA AUC12 was best predicted when three samples were taken at pre-dose and at 1 and 3 h post-dose with a mean bias and imprecision of 0.8 and 22.6 % for multiple linear regression analysis and of -5.5 and 23.0 % for maximum a posteriori (MAP) Bayesian analysis. Although mean bias was less when data were analysed using multiple linear regression, MAP Bayesian analysis is preferable because of its flexibility with respect to sample timing. Estimation of MPA AUC12 following EC-MPS administration using a limited sampling strategy with samples drawn within 3 h post-dose resulted in biased and imprecise results, likely due to a longer time to reach a peak MPA concentration (t max) with this formulation and more variable pharmacokinetic profiles. Inclusion of later sampling time points that capture enterohepatic recirculation and t max improved the predictive performance of strategies to predict EC-MPS exposure. Given the considerable pharmacokinetic variability associated with mycophenolate therapy, limited sampling strategies may potentially help in individualizing patient dosing. However, a compromise needs to be made between the predictive performance of the strategy and its clinical feasibility. An opportunity exists to combine research efforts globally to create an open-source database for MPA (AUC, concentrations and outcomes) that can be used and prospectively evaluated for AUC target-controlled dosing of MPA in autoimmune diseases. Springer International Publishing AG 2014-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/40209/1/Azrin.pdf application/pdf en http://irep.iium.edu.my/40209/4/40209_How%20accurate%20and%20precise%20are%20limited.SCOPUSpdf.pdf Abd. Rahman, Nurul Azrin and Tett, Susan E. and Staatz, Christine E. (2014) How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease? Clinical Pharmacokinetics, 53 (3). pp. 227-245. ISSN 1179-1926 (O), 0312-5963 (P)
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic RM Therapeutics. Pharmacology
RS Pharmacy and materia medica
spellingShingle RM Therapeutics. Pharmacology
RS Pharmacy and materia medica
Abd. Rahman, Nurul Azrin
Tett, Susan E.
Staatz, Christine E.
How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
description Mycophenolic acid (MPA) is a potent immunosuppressant agent, which is increasingly being used in the treatment of patients with various autoimmune diseases. Dosing to achieve a specific target MPA area under the concentration-time curve from 0 to 12 h post-dose (AUC12) is likely to lead to better treatment outcomes in patients with autoimmune disease than a standard fixed-dose strategy. This review summarizes the available published data around concentration monitoring strategies for MPA in patients with autoimmune disease and examines the accuracy and precision of methods reported to date using limited concentration-time points to estimate MPA AUC12. A total of 13 studies were identified that assessed the correlation between single time points and MPA AUC12 and/or examined the predictive performance of limited sampling strategies in estimating MPA AUC12. The majority of studies investigated mycophenolate mofetil (MMF) rather than the enteric-coated mycophenolate sodium (EC-MPS) formulation of MPA. Correlations between MPA trough concentrations and MPA AUC12 estimated by full concentration-time profiling ranged from 0.13 to 0.94 across ten studies, with the highest associations (r (2) = 0.90-0.94) observed in lupus nephritis patients. Correlations were generally higher in autoimmune disease patients compared with renal allograft recipients and higher after MMF compared with EC-MPS intake. Four studies investigated use of a limited sampling strategy to predict MPA AUC12 determined by full concentration-time profiling. Three studies used a limited sampling strategy consisting of a maximum combination of three sampling time points with the latest sample drawn 3-6 h after MMF intake, whereas the remaining study tested all combinations of sampling times. MPA AUC12 was best predicted when three samples were taken at pre-dose and at 1 and 3 h post-dose with a mean bias and imprecision of 0.8 and 22.6 % for multiple linear regression analysis and of -5.5 and 23.0 % for maximum a posteriori (MAP) Bayesian analysis. Although mean bias was less when data were analysed using multiple linear regression, MAP Bayesian analysis is preferable because of its flexibility with respect to sample timing. Estimation of MPA AUC12 following EC-MPS administration using a limited sampling strategy with samples drawn within 3 h post-dose resulted in biased and imprecise results, likely due to a longer time to reach a peak MPA concentration (t max) with this formulation and more variable pharmacokinetic profiles. Inclusion of later sampling time points that capture enterohepatic recirculation and t max improved the predictive performance of strategies to predict EC-MPS exposure. Given the considerable pharmacokinetic variability associated with mycophenolate therapy, limited sampling strategies may potentially help in individualizing patient dosing. However, a compromise needs to be made between the predictive performance of the strategy and its clinical feasibility. An opportunity exists to combine research efforts globally to create an open-source database for MPA (AUC, concentrations and outcomes) that can be used and prospectively evaluated for AUC target-controlled dosing of MPA in autoimmune diseases.
format Article
author Abd. Rahman, Nurul Azrin
Tett, Susan E.
Staatz, Christine E.
author_facet Abd. Rahman, Nurul Azrin
Tett, Susan E.
Staatz, Christine E.
author_sort Abd. Rahman, Nurul Azrin
title How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
title_short How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
title_full How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
title_fullStr How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
title_full_unstemmed How accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
title_sort how accurate and precise are limited sampling strategies in estimating exposure to mycophenolic acid in people with autoimmune disease?
publisher Springer International Publishing AG
publishDate 2014
url http://irep.iium.edu.my/40209/
http://irep.iium.edu.my/40209/1/Azrin.pdf
http://irep.iium.edu.my/40209/4/40209_How%20accurate%20and%20precise%20are%20limited.SCOPUSpdf.pdf
first_indexed 2023-09-18T20:57:40Z
last_indexed 2023-09-18T20:57:40Z
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