normalised Cmax [Regulatives / Guidelines]
Dear Imran!
Not a suggestion, but an option.
The European Note for Guidance states in Section 3.3:
In the recent past some EU-regulators wanted us to include Cmax/AUC for MR-products (not as a primary rate parameter, but descriptively).
Some statisticians are concerned about which method should be applied comparing Cmax/AUC, since (by convention, PK-reasoning and bioanalytical grounds) both parameters are assumed to follow a lognormal distribution (evaluation by a parametric multiplicative model, e.g., ANOVA). Now what’s the statistical distribution of the ratio of two lognormal distributions?
Most people are pragmatic (simply ignoring the problem), others opt for a nonparametric method.
Unfortunately to my knowledge nobody ever has published on this topic…
Different metrics give different results.
In most cases intra-subject variability of Cmax/AUC is lower than Cmax’s – resulting in a tighter confidence interval.
References:
❝ Does any guideline suggest to use normalised Cmax for PK and Statistical calculation.
Not a suggestion, but an option.
The European Note for Guidance states in Section 3.3:
‘From the primary results, the bioavailability characteristics desired are estimated, namely AUCt, […] or any other justifiable characteristics […]’
In the recent past some EU-regulators wanted us to include Cmax/AUC for MR-products (not as a primary rate parameter, but descriptively).
Some statisticians are concerned about which method should be applied comparing Cmax/AUC, since (by convention, PK-reasoning and bioanalytical grounds) both parameters are assumed to follow a lognormal distribution (evaluation by a parametric multiplicative model, e.g., ANOVA). Now what’s the statistical distribution of the ratio of two lognormal distributions?
Most people are pragmatic (simply ignoring the problem), others opt for a nonparametric method.
Unfortunately to my knowledge nobody ever has published on this topic…
❝ I have compared 90% CI data of Cmax and normalised Cmax, and both the results are different.
Different metrics give different results.
In most cases intra-subject variability of Cmax/AUC is lower than Cmax’s – resulting in a tighter confidence interval.
References:
- Endrényi L, Yan W. Variation of Cmax and Cmax/AUC in investigations of bioequivalence. Int J Clin Pharm Ther Toxicol. 1993; 31(4): 184–9.
- Schall R, Luus HG, Steinijans VW. Choice of characteristics and their bioequivalence ranges for the comparison of absorption rates of immediate-release drug formulations. Int J Clin Pharm Ther. 1994; 32(7): 323–8.
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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
![[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:
- Statistical Issue (significant Formulation, Period and seq.) Imran 2007-04-20 07:22 [Regulatives / Guidelines]
- Statistical Issue (significant Formulation, Period and seq.) usfda_emea 2007-05-05 09:12
- significant Formulation and Period effects Helmut 2007-05-07 14:42
- Statistical Issue (significant Formulation, Period and seq.) Dipesh Jayswal 2007-05-10 13:22
- normalised Cmax Imran 2007-05-25 13:08
- normalised CmaxHelmut 2007-06-30 14:57
- normalised Cmax Imran 2007-05-25 13:08