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Leave-one-out procedure in the validation of elimination rate constant analysis
T Grabowski1, J J Jaroszewski, M Sasinowska-Motyl
1Polpharma Biologics, Gdańsk, Poland. tomasz.grabowski@polpharma.com
This study introduces validation criteria for selecting concentration-time points to calculate the elimination rate constant (kel). Automated selection is unreliable, necessitating these criteria for accurate pharmacokinetic analysis.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Bioequivalence Studies
- Regulatory Science
Background:
- Standardized methods for calculating the elimination rate constant (kel) exist, but lack validation for concentration-time (C-T) point selection.
- Accurate kel calculation is crucial for pharmacokinetic analysis, particularly in bioequivalence studies.
Purpose of the Study:
- To determine if kel analysis can utilize a condensed validation procedure.
- To establish acceptance criteria for validating C-T point selection in kel calculations.
- To assess the reliability of C-T point selection for kel determination across different drug lipophilicity.
Main Methods:
- Utilized pharmacokinetic data from bioequivalence studies of four drugs (itraconazole, atorvastatin, trimetazidine, perindopril).
- Performed pharmacokinetic calculations using WinNonlin Professional v 5.3.
- Implemented internal validation via leave-one-out cross-validation for kel analysis.
Main Results:
- The selection of C-T points for kel calculations cannot be automated, as some sequences failed validation criteria.
- Proposed validation criteria: Q² ≥ 0.6, R² ≥ 0.85, and Q² - R² < 0.3.
- The validation procedure confirmed the accuracy of kel calculations, even with varied C-T point sequences.
Conclusions:
- A robust, condensed validation procedure is necessary for selecting C-T data points in kel analysis.
- The proposed criteria ensure the optimal and accurate selection of data for reliable kel determination.
- This approach enhances the rigor of pharmacokinetic assessments in drug development and regulatory submissions.
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