Statistics in multiple dose study [NCA / SHAM]
Dear Ratnakar!
Given the advancements in bioanalytics you should have very strong arguments before claiming that it's not possible to measure the single dose profile. Even if AUC cannot be characterized after SD, EMEA's BE-draft suggests to measure Cmax after SD and AUC in steady state!
IMHO yes, because the superposition principle in linear PK simply is AUC∞ (SD) = AUCτ (SS).
I would say so.
Difficult question. Depends on both the regulatory requirements and the point of view of the assessor(s).
Generally %PTF as an aggregate metric is less variable than Cmax, so it should not be problematic (for a nasty example see D. Labes' experiences). Cmin is a pain in ... - especially if you have only little accumulation and values close to the LLOQ.
In many cases the variability of Cmin prevents the demonstration of BE in a reasonbly powered study. You should study the literature whether this metric is important based on clinical grounds and state it in the protocol. On the other hand I have seen a lot of studies in the EU where assessors insisted on Cmin within conventional BE limits...
No. Cav is only needed to calculate %PTF. It doesn't make sense: the PE and CI should be the same as the ones of AUCτ.
❝ We are doing this study as a multiple dose just because single dose Nasal spray dose not give detectable concentrations.
Given the advancements in bioanalytics you should have very strong arguments before claiming that it's not possible to measure the single dose profile. Even if AUC cannot be characterized after SD, EMEA's BE-draft suggests to measure Cmax after SD and AUC in steady state!
❝ Now is it necessary that we have to prove Steady state in such situations also?
IMHO yes, because the superposition principle in linear PK simply is AUC∞ (SD) = AUCτ (SS).
❝ If yes, then we will have to follow the all steady state requirements.
I would say so.
❝ Secondly for other parameters such as %fluctuations and Cmin criteria of 80-125% CI required to be applied or not?
Difficult question. Depends on both the regulatory requirements and the point of view of the assessor(s).

In many cases the variability of Cmin prevents the demonstration of BE in a reasonbly powered study. You should study the literature whether this metric is important based on clinical grounds and state it in the protocol. On the other hand I have seen a lot of studies in the EU where assessors insisted on Cmin within conventional BE limits...
❝ Cav should also be analysed with confidence interval or not?
No. Cav is only needed to calculate %PTF. It doesn't make sense: the PE and CI should be the same as the ones of AUCτ.
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Dif-tor heh smusma 🖖🏼 Довге життя Україна!
![[image]](https://static.bebac.at/pics/Blue_and_yellow_ribbon_UA.png)
Helmut Schütz
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The quality of responses received is directly proportional to the quality of the question asked. 🚮
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Complete thread:
- Statistics in multiple dose study ratnakar1811 2009-12-01 11:09
- Statistics in multiple dose study Helmut 2009-12-02 00:20
- Statistics in multiple dose study ratnakar1811 2009-12-03 07:36
- Statistics in multiple dose studyHelmut 2009-12-03 14:53
- Statistics in multiple dose study ratnakar1811 2009-12-04 08:21
- Statistics in multiple dose studyHelmut 2009-12-03 14:53
- Metrics for multiple profiles d_labes 2009-12-03 08:58
- Metrics for multiple profiles Helmut 2009-12-03 15:50
- Metrics for multiple profiles d_labes 2009-12-03 16:02
- Metrics for multiple profiles Helmut 2009-12-03 16:11
- PTF is another story d_labes 2009-12-03 16:17
- PTF is another story Helmut 2009-12-03 16:42
- the flatter is better? d_labes 2009-12-04 08:46
- Biopharmaceutical history Helmut 2009-12-04 12:35
- the flatter is better? d_labes 2009-12-04 08:46
- PTF is another story Helmut 2009-12-03 16:42
- Metrics for multiple profiles d_labes 2009-12-03 16:02
- Metrics for multiple profiles Helmut 2009-12-03 15:50
- Statistics in multiple dose study ratnakar1811 2009-12-03 07:36
- Statistics in multiple dose study Helmut 2009-12-02 00:20