Presentation on theme: "Profile Analysis of Cascade Impactor Data: An Alternative View Andrew R Clark, Ph.D. Orally Inhaled and Nasal Drug Products Subcommittee of the Advisory."— Presentation transcript:
Profile Analysis of Cascade Impactor Data: An Alternative View Andrew R Clark, Ph.D. Orally Inhaled and Nasal Drug Products Subcommittee of the Advisory Committee for Pharmaceutical Science April 26, 2000
Comparing impactor distributions - Why and how Batch release –Is the current batch equivalent to those used in pivotal trials ? Bioequivalence –Is a “new” product equivalent to the innovator ? Marker or label validation –Does the marker or label match well enough to represent the active drug ? Simple statistical “distance” or a measure with physical significance ?
Physical significance of distribution differences 0 0.2 0.4 0.6 0.8 1 0.1110 Al. Deposition TB deposition Fraction Deposition Aerodynamic diameter (um) 0 20 40 60 80 100 0.1110 Test MMAD 3 um, GSD 3 Reference MMAD 3 um, GSD 2 Cumulative % undersize % Undersize difference 12 at both 9.0 and 1.2 m Deposition Probability 0.9, 0.8 at 9.0 m and 0.4, 0.0 at 1.2 m for TB and Al respectively W0W0 W5W5 f( w i ) P d.f( w i )
A model for investigations of F2 and Changes in size distribution for a log-normal model 1 10.11510203050708090959999.9 Reference MMAD 3 um, GSD 2 Test MMAD 1 um, GSD 2 Test MMAD 3 um, GSD 3 Aerodynamic diameter (um) Cumulative undersize (%) Median diameter Change in median diameter Change in GSD GSD = d 50 /d 16
F2 variation as a function of MMAD and GSD relative to a reference distribution for the ACI 0 20 40 60 80 100 11.522.53 F 2 GSD Reference ( MMAD = 2.0, GSD = 2 ) 0 20 40 60 80 100 11.522.53 F 2 MMAD (um) Reference ( MMAD = 2.0, GSD = 2 )
How F2 measures changes in size distribution Response of F2 for the ACI to changes in MMAD and GSD relative to a 2 m MMAD, GSD = 2 reference aerosol
F2 50 Contours for relative change in MMAD and GSD F2 5o contours for the ACI for reference aerosols ranging of 1 to 8 m MMAD with GSD of 2. (Aerosols with MMAD and GSDs lying within the contours would be judged to be similar, i.e. F 2 = > 50.) For 1 um reference d max - d min ~ 0.7 m For 4 um reference d max - d min ~ 2.5 m
F2 50 Contours for relative change in MMAD and GSD 0.5 1 1.5 2 2.5 3 0.60.811.21.4 F2 50 contours for the MLI for reference aerosols ranging of 1 to 8 um MMAD with GSD of 2. (Aerosols with MMAD and GSDs lying within the contours would be judged to be similar, i.e. F2 = > 50.) 1 um 2 um 4 um 8 um GSD aerosol / GSD reference MMAD aerosol / MMAD reference For 1 um reference d max - d min ~ 0.5 m For 4 um reference d max - d min ~ 2.5 m
How 2 measures changes in size distribution Response of 2 for the ACI to changes in MMAD and GSD relative to a 3 m MMAD, GSD = 2 reference aerosol
Theoretical total lung and alveolar deposition for an inhaled aerosol (GSD of 2) with and without a 5 second breath hold Alveolar deposition with 5s breathold Alveolar deposition without breathold Total lung deposition with 5s breathold Total lung deposition without breathold 0 0.2 0.4 0.6 0.8 1 024681012 Deposition [ %] of inhaled MMAD [um] F2 = 50 d p ~ 4 % F2 = 50 d p ~ 150 %
Change in deposition as a function of MMAD and GSD relative to a reference aerosol with an MMAD of 2 m and a GSD of 2 (Note. All deposition changes have been shown as negative to facilitate comparison with Figure 3.) How changes in size distribution affect deposited dose
Comparison of F2 50 and 10% deposition contours Comparison of F2 50 contours for the MLI with “10% change in lung deposition” contours derived from a lung deposition model
An alternative :Theoretical Deposition Fraction & weighted distributions Normalize and apply “distance” statistic ? Deposition weights (P d ) determined from lung deposition model Weighted distribution = Wt stage * P d
Weighting technique applied to label validation data
Issues with Weighting and TDF approach Advantages –Flexibility Choose weighting factors for drug / product application –Can apply simple statistics to values to Wt. or % –Has physical relevance Disadvantages –How to choosing weighting factors Deposition models Receptor distribution –Whole lung versus deposition pattern (TB/AL ratio ?) –Not a primary measure Combination Weights plus “distance” statistic ?
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