PURPOSE: The aims of this study were to evaluate the predictive performances of all previously derived limited sampling strategies (LSSs) for total prednisolone, and to derive LSSs for free prednisolone in an independent cohort of adult kidney transplant recipients. METHODS: Total and free prednisolone area under the concentration-time curve profiles from 0 to 12 hours post-dose (AUC(0-12)) were collected from 20 subjects. All previously published total prednisolone LSSs were identified from the literature. Free prednisolone LSSs were developed using multiple linear regression analyses. AUC predicted by each of the LSSs was compared with AUC(0-12). Median percentage prediction error (MPPE) and median absolute percentage prediction error (MAPE) were calculated to evaluate bias and imprecision. RESULTS: Total dose-adjusted prednisolone exposure varied 5-fold among study participants, while free dose-adjusted prednisolone exposure varied 3-fold. Correlation (r²) between total and free prednisolone AUC(0-12) was 0.79 (p = <0.0001) for the entire study cohort. This correlation was poorer in those early compared with late post-transplant (r² = 0.42 (p = 0.04) versus r² = 0.59 (p = 0.009) respectively). Ten previously published LSSs for total prednisolone and 15 derived LSSs for free prednisolone performed with acceptable levels of bias and imprecision (<15%). Of the free prednisolone LSSs, an equation incorporating 0.25-, 2- and 4-h concentrations showed the highest predictive power (AUC₀-₁₂ = -17.20 + 1.18 × C₀.₂₅ + 2.75 × C₂ + 4.45 × C₄; MPPE = 0.1%, MAPE = 4.6%). CONCLUSIONS: Wide between-subject variability in drug exposure suggests a role for TDM. LSSs can accurately estimate both total and free prednisolone AUC(0-12). However, given the poor correlation observed between the two parameters, our data suggest that free prednisolone LSSs may be preferable.
PURPOSE: The aims of this study were to evaluate the predictive performances of all previously derived limited sampling strategies (LSSs) for total prednisolone, and to derive LSSs for free prednisolone in an independent cohort of adult kidney transplant recipients. METHODS: Total and free prednisolone area under the concentration-time curve profiles from 0 to 12 hours post-dose (AUC(0-12)) were collected from 20 subjects. All previously published total prednisolone LSSs were identified from the literature. Free prednisolone LSSs were developed using multiple linear regression analyses. AUC predicted by each of the LSSs was compared with AUC(0-12). Median percentage prediction error (MPPE) and median absolute percentage prediction error (MAPE) were calculated to evaluate bias and imprecision. RESULTS: Total dose-adjusted prednisolone exposure varied 5-fold among study participants, while free dose-adjusted prednisolone exposure varied 3-fold. Correlation (r²) between total and free prednisolone AUC(0-12) was 0.79 (p = <0.0001) for the entire study cohort. This correlation was poorer in those early compared with late post-transplant (r² = 0.42 (p = 0.04) versus r² = 0.59 (p = 0.009) respectively). Ten previously published LSSs for total prednisolone and 15 derived LSSs for free prednisolone performed with acceptable levels of bias and imprecision (<15%). Of the free prednisolone LSSs, an equation incorporating 0.25-, 2- and 4-h concentrations showed the highest predictive power (AUC₀-₁₂ = -17.20 + 1.18 × C₀.₂₅ + 2.75 × C₂ + 4.45 × C₄; MPPE = 0.1%, MAPE = 4.6%). CONCLUSIONS: Wide between-subject variability in drug exposure suggests a role for TDM. LSSs can accurately estimate both total and free prednisolone AUC(0-12). However, given the poor correlation observed between the two parameters, our data suggest that free prednisolone LSSs may be preferable.
Authors: Judith M Morton; Sharon Williamson; Laurie M Kear; Brett C McWhinney; Julia Potter; Allan R Glanville Journal: J Heart Lung Transplant Date: 2006-04-11 Impact factor: 10.247
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Authors: Troels K Bergmann; Nicole M Isbel; Remo Ostini; Katherine A Barraclough; Scott B Campbell; Brett C McWhinney; Warrick J Inder; Anthony Russell; Christine E Staatz Journal: Clin Drug Investig Date: 2015-11 Impact factor: 2.859