Dissolution Profiles Comparison Using Various Model Independent Statistical Approaches: Can We Increase Chance of...

Area of Science:

• Pharmaceutical Sciences
• Drug Product Quality

Background:

• In vitro dissolution testing is crucial for solid dosage form quality assessment.
• Regulatory agencies recommend model-independent and dependent methods beyond the similarity factor (f2).

Purpose of the Study:

• To compare various model-independent approaches for evaluating dissolution similarity.
• To provide guidance for selecting appropriate methodologies for dissolution similarity analysis.

Main Methods:

• Comparison of dissolution data with varying variability (10-80%) using similarity factor f2 (estimated, expected, bias-corrected with percentile & BCa intervals).
• Evaluation of novel approaches: EDNE, SE, T2EQ, and MSD.
• Development of a flowchart to aid in selecting suitable methodologies.

Main Results:

• The expected f2 proved more stringent than other f2 variations.
• Bootstrapped BCa confidence intervals enhanced acceptance rates compared to conventional f2 bootstrap.
• EDNE results aligned with f2 analysis; SE and T2EQ outcomes were dependent on the equivalence margin.
• The MSD approach was the most stringent method evaluated.
• A decision tree was proposed for methodology selection, considering regulatory perspectives.

Conclusions:

• Various model-independent approaches for dissolution similarity analysis were comprehensively compared.
• This guidance aids formulation and biopharmaceutics scientists in improving similarity assessment success rates.
• The study supports regulatory compliance and ensures consistent drug product performance.