Comparison of 3 Estimation Methods of Mycophenolic Acid AUC based on a Limited Sampling Strategy in Renal Transplant Patients

2009 ◽  
Vol 31 (2) ◽  
pp. 224-232 ◽  
Author(s):  
Anne Hulin ◽  
Benoît Blanchet ◽  
Vincent Audard ◽  
Caroline Barau ◽  
Valérie Furlan ◽  
...  
Keyword(s):  
Renal Transplant ◽  
Mycophenolic Acid ◽  
Sampling Strategy ◽  
Limited Sampling Strategy ◽  
Estimation Methods ◽  
Transplant Patients ◽  
Limited Sampling ◽  
Renal Transplant Patients

scholarly journals Limited Sampling Strategy for the Estimation of Mycophenolic Acid Area under the Curve in Adult Renal Transplant Patients Treated with Concomitant Tacrolimus

2002 ◽  
Vol 48 (9) ◽  
pp. 1497-1504 ◽  
Author(s):  
Tomasz Pawinski ◽  
Mike Hale ◽  
Magda Korecka ◽  
William E Fitzsimmons ◽  
Leslie M Shaw
Keyword(s):  
Renal Transplant ◽  
Mycophenolic Acid ◽  
Cross Validation ◽  
Sampling Strategy ◽  
Limited Sampling Strategy ◽  
Regression Equations ◽  
Data Set ◽  
Transplant Patients ◽  
Limited Sampling ◽  
Renal Transplant Patients

Abstract Background: Significant relationships between the mycophenolic acid (MPA) area under the concentration–time curve (AUC0–12h) and the risks for acute rejection and side effects have been reported. We developed a practical method for estimation of MPA AUCs. Regression equations were developed using repeated cross-validation for randomly chosen subsets, characterized statistically, and verified for acceptable performance. Methods: Twenty-one renal transplant patients receiving 0.5 or 1.0 g of mycophenolate mofetil twice daily and concomitant tacrolimus provided a total of 50 pharmacokinetic profiles. MPA concentrations were measured by a validated HPLC method in 12 plasma samples collected at predose and at 30 and 60 min; 2, 3, 4, 6, 8, 9, 10, 11, and 12 h; 1 and 2 weeks; and 3 months after transplantation. Twenty-six 1-, 2-, or 3-sample estimation models were fit (r2 = 0.341–0.862) to a randomly selected subset of the profiles using linear regression and were used to estimate AUC0–12h for the profiles not included in the regression fit, comparing those estimates with the corresponding AUC0–12h values, calculated with the linear trapezoidal rule, including all 12 timed MPA concentrations. The 3-sample models were constrained to include no samples past 2 h. Results: The model using c0h, c0.5h, and c2h was superior to all other models tested (r2 = 0.862), minimizing prediction error for the AUC0–12h values not included in the fit (i.e., the cross-validation error). The regression equation for AUC estimation that gave the best performance for this model was: 7.75 + 6.49c0h + 0.76c0.5h + 2.43c2h. When we applied this model to the full data set, 41 of the 50 (82%) estimated AUC values were within 15% of the value of AUC0–12h calculated using all 12 concentrations. Conclusions: This limited sampling strategy provides an effective approach for estimation of the full MPA AUC0–12h in renal transplant patients receiving concomitant tacrolimus therapy.

scholarly journals A limited sampling strategy for tacrolimus in renal transplant patients

2008 ◽  
Vol 66 (4) ◽  
pp. 467-472 ◽  
Author(s):  
Binu S. Mathew ◽  
Denise H. Fleming ◽  
Visalakshi Jeyaseelan ◽  
Sujith J. Chandy ◽  
V. M. Annapandian ◽  
...  
Keyword(s):  
Renal Transplant ◽  
Sampling Strategy ◽  
Limited Sampling Strategy ◽  
Transplant Patients ◽  
Limited Sampling ◽  
Renal Transplant Patients

scholarly journals Limited sampling strategy for prolonged-release tacrolimus in renal transplant patients by use of the dried blood spot technique

2015 ◽  
Vol 71 (7) ◽  
pp. 811-816 ◽  
Author(s):  
G. A. J. van Boekel ◽  
A. R. T. Donders ◽  
K. E. J. Hoogtanders ◽  
T. R. A. Havenith ◽  
L. B. Hilbrands ◽  
...  
Keyword(s):  
Renal Transplant ◽  
Sampling Strategy ◽  
Dried Blood Spot ◽  
Limited Sampling Strategy ◽  
Prolonged Release ◽  
Transplant Patients ◽  
Limited Sampling ◽  
Renal Transplant Patients ◽  
Blood Spot
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