tmax, Canadian approach [Regulatives / Guidelines]
Dear D. Labes,
Sometimes I forget the true country of the brave and the free - Canada...
They already had a Notice to Industry on Rapid Onset Drugs back in 2005.
Eric Ormsby (Health Canada, Therapeutic Products Directorate) in his talk at the BioInternational 2008 presented their approach for a partial areas, which will be implemented in their new guideline, namely:
'The relative mean AUCReftmax of the test to reference formulation should be within 80 to 125%, where AUCReftmax for a test product is defined as the area under the curve to the time of the maximum concentration of the reference product, calculated for each study subject.'
No fiddling around with median tmax, no search for a reference value in the reference's SmPC - just straight out of the study, but:
Example 1:
Original evaluation
Median tmax (ref.) 1.5h
Additive model (nonparametric)
Hodges-Lehman estimate: +0.00h (100%)
Moses CI: -0.25, +0.25 (85.0%, 115%)
Conclusion: BE
New evaluation
Partial AUC individually truncated at tmax of the reference
Multiplicative model (parametric)
GMR: 85.7%
CI: 72.3%, 102.3%
CVintra 23.8% (AUCT 13.3%, Cmax 17.0%)
Conclusion: not BE
Example 2:
Median tmax (ref.) 1.5h
Additive model (nonparametric)
Hodges-Lehman estimate: +0.26h (116%)
Moses CI: +0.00, +0.50 (100%, 130%)
Conclusion: not BE
Partial AUC individually truncated at tmax of the reference
Multiplicative model (parametric)
GMR: 62.4%
CI: 46.2%, 84.3%
CVintra 42.4% (AUCT 6.33%, Cmax 9.43%)
Conclusion: not BE
Power to show BE for partial AUC in the 'Canadian way' was also insufficient, even in example 1 (see this post for another method). CVintra for the partial AUC was five times that of Cmax and almost seven times that of AUCT in example 2. Whatever approach we will choose, IMHO it will be very difficult to show BE for rapid onset drugs if partial areas are a main target parameter due to it's high variability.
--
Edit: Canada doesn't ask for a confidence interval! See this post.
❝ But what can we do if a regulative authority is missing all the discussions and results in the scientific community?
Sometimes I forget the true country of the brave and the free - Canada...
They already had a Notice to Industry on Rapid Onset Drugs back in 2005.
Eric Ormsby (Health Canada, Therapeutic Products Directorate) in his talk at the BioInternational 2008 presented their approach for a partial areas, which will be implemented in their new guideline, namely:
'The relative mean AUCReftmax of the test to reference formulation should be within 80 to 125%, where AUCReftmax for a test product is defined as the area under the curve to the time of the maximum concentration of the reference product, calculated for each study subject.'
No fiddling around with median tmax, no search for a reference value in the reference's SmPC - just straight out of the study, but:
Example 1:
Original evaluation
Median tmax (ref.) 1.5h
Additive model (nonparametric)
Hodges-Lehman estimate: +0.00h (100%)
Moses CI: -0.25, +0.25 (85.0%, 115%)
Conclusion: BE
New evaluation
Partial AUC individually truncated at tmax of the reference
Multiplicative model (parametric)
GMR: 85.7%
CI: 72.3%, 102.3%
CVintra 23.8% (AUCT 13.3%, Cmax 17.0%)
Conclusion: not BE
Example 2:
Median tmax (ref.) 1.5h
Additive model (nonparametric)
Hodges-Lehman estimate: +0.26h (116%)
Moses CI: +0.00, +0.50 (100%, 130%)
Conclusion: not BE
Partial AUC individually truncated at tmax of the reference
Multiplicative model (parametric)
GMR: 62.4%
CI: 46.2%, 84.3%
CVintra 42.4% (AUCT 6.33%, Cmax 9.43%)
Conclusion: not BE
Power to show BE for partial AUC in the 'Canadian way' was also insufficient, even in example 1 (see this post for another method). CVintra for the partial AUC was five times that of Cmax and almost seven times that of AUCT in example 2. Whatever approach we will choose, IMHO it will be very difficult to show BE for rapid onset drugs if partial areas are a main target parameter due to it's high variability.
--
Edit: Canada doesn't ask for a confidence interval! See this post.
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Science Quotes
Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
![[image]](https://static.bebac.at/img/CC by.png)
The quality of responses received is directly proportional to the quality of the question asked. 🚮
Science Quotes
Complete thread:
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