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Defining level A IVIVC dissolution specifications based on individual in vitro dissolution profiles of a controlled
I González-García1, A García-Arieta2, M Merino-Sanjuan3
1Pharmacy and Pharmaceutical Technology Area, University of Valencia, Spain.
A new individual approach for dissolution specifications is more sensitive than the classical averaged data method. This method ensures in vivo performance by accounting for variability, improving drug product quality control.
Area of Science:
- Pharmaceutical Sciences
- Drug Delivery
- Pharmacokinetics
Background:
- Current regulatory guidelines for dissolution specifications rely on averaged data, potentially leading to information loss and bias.
- A level A in vitro-in vivo correlation (IVIVC) is often used, with a maximum 20% difference allowed for AUC and Cmax between reference and test formulations.
Purpose of the Study:
- To introduce and evaluate a novel 'individual approach' for establishing dissolution specifications, contrasting it with the 'classical approach' using averaged data.
- To demonstrate the enhanced sensitivity and reliability of the individual approach in detecting formulation differences.
Main Methods:
- Development of scenarios based on in vitro-in vivo dissolution rate coefficients with a level A IVIVC for controlled-release formulations.
- Simulation of 1000 dissolution assays for six additional batches to compare the individual and classical approaches.
- Calculation of Cmax ratios between reference and test formulations to assess sensitivity.
Main Results:
- The individual approach demonstrated higher sensitivity in detecting differences between reference and batch formulations compared to the classical approach.
- Simulations showed the individual approach is more effective in identifying potential in vivo performance variations.
- The new methodology provides wider dissolution specification limits, ensuring better control over in vivo variability.
Conclusions:
- The individual approach offers a more robust and sensitive method for establishing dissolution specifications than the classical averaged data approach.
- This methodology enhances the assurance of consistent in vivo performance for drug products by considering individual variabilities.
- Implementing the individual approach can lead to improved drug product quality and regulatory compliance.
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