ratnakar1811
★    

India,
2008-10-11 10:05
(6058 d 09:36 ago)

Posting: # 2509
Views: 8,342
 

 PK anomalies [Outliers]

Dear Members,

This is regarding the PK anomalies, I want to know in detail the Pk anomalies concept and how to handle the data of PK anomalies are there any standerds laid?

Ratnakar
sasman
●    

2008-10-11 18:48
(6058 d 00:53 ago)

(edited on 2008-10-11 22:40)
@ ratnakar1811
Posting: # 2515
Views: 7,113
 

 PK anomalies

Ratnakar,

A subject is a PK outlier if his/her concentration time profile contains at least one concentration value that is very high or very low.
PK outliers can be the result of:
  1. a statistical anomaly (happened by chance),
  2. a product failure, (eg formulation released too much or too little drug)
  3. a protocol violation (eg patient chewed tablet instead of swallowing it)
  4. a subject by formulation interaction. A subject by formulation interaction exists when a subject "interacts" with the drug in a manner that is different than other subjects. For example, one subject may absorb the drug to a greater extent than other subjects in the study.
An outlier can only be excluded if it is clearly the result of a protocol violation. Documentation of the violation is required.

Caution should be used when excluding outliers, due to the potential for bias.

You can obtain more information at the URL shown below, which contains a summary of a meeting that was held on PK outliers. Power Point slides for some of the presentations are available.

http://www.hc-sc.gc.ca/dhp-mps/prodpharma/activit/sci-com/bio/sacbb_rop_ccsbb_crd_2004-06-03-eng.php

Greg

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Helmut
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Vienna, Austria,
2008-10-12 01:28
(6057 d 18:13 ago)

@ sasman
Posting: # 2518
Views: 7,183
 

 PK anomalies

Dear Greg,

thanks for the link; unfortunatelly I repeatedly tried to obtain these presentations directly from Health Canada, but never succeeded. :-(
Do you by any chance have a copy?

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ratnakar1811
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India,
2008-10-14 12:10
(6055 d 07:30 ago)

@ sasman
Posting: # 2526
Views: 7,018
 

 PK anomalies

Dear Greg,

Thanks for the reply and valuable information, but full presentations are not available and secondly how can we should handle when there is a significant increase or decrease (aberrant or some times value below LOQ in between two values) in the concentration in the elimination phase (or any other phase like early absorption also) if we notice that at the time of statistics, can we ask to reanalyze the particular time point of that subject. Also what can be considered as a base for such request?

When a whole data of a subject is outlier we can understand whether delete the data or not to but how to deal with one or two time points in one or two subjects?

Thanking you in advance.

Ratnakar
Helmut
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Vienna, Austria,
2008-10-14 15:42
(6055 d 03:59 ago)

@ ratnakar1811
Posting: # 2529
Views: 7,106
 

 Irregular profile

Dear Ratnakar!

❝ […] how can we should handle when there is a significant increase or decrease (aberrant or some times value below LOQ in between two values) in the concentration in the elimination phase (or any other phase like early absorption also) …


OK, that’s called an “irregular profile”. See the last example in this post. Due to overregulation many people abandon scientific judgment. Unlike for example in environmental analysis, in PK samples are not independent. For a single dose oral administration we know that the concentration at t=0 should be zero, increase until tmax, and decrease in some kind of exponential manner until LLOQ is reached. Since I’m a dinosaur of bioanalytics (manual injection of thousands of samples on packed-column GC and early HPLC equipment) I remember quite well, that every analyst looked routinely at the time-course of results before final release. Right now analysts - punished by badly educated inspectors – follow blindly foolish SOPs in a formalistic way which mainly allow for repeated analysis if something obvious happened (vial broken, spoiled extract, ‘bad’ chromatography). The most weird I experienced was a (very, very!) large CRO, where the analyst refused to look at the time-course of data, and the pharmacokineticist refused to perform a plausibility review before final release of analytical data.
I suggest to alter your SOPs in such a way that analytical data after review by the QAU are relased for review by an pharmacokineticist in a blinded manner. Then reanalysis may be initiated; this cycle is repeated until ‘strange’ results are clarified (original results confirmed, rejected, or no more sample left). Remember: ANVISA limits the number of reanalyzed samples to 20% of total.

❝ … if we notice that at the time of statistics, can we ask to reanalyze the particular time point of that subject. Also what can be considered as a base for such request?


A request for reanalysis after unblinding is a very bad idea and must be avoided if possible. The impression of cherry picking may arise!

❝ […] how to deal with one or two time points in one or two subjects?


That’s a question not easy to answer… Science-driven CROs state procedures in the SAP (Statistical Analysis Plan), the clinical protocol, or an SOP. I would recommend the SAP or protocol, because it’s more transparent and allow to answer questions more quickly (SOPs generally are not included in the study report). It’s always possible that something went wrong with a particular sample, which will give you the erroneous result even after many repeated analyses. Most common reasons: contamination of the sample vial or stopper, forgotten stabiliser, coeluting compound leading to a matrix effect. In such a case it should be possible to eliminate the result from the profile. However, such a decision is not based on statistical methods but scientific knowledge and experience, great care should be taken rejecting and / or substituting questionable values.
Depending on the software you use, options to interpolate should be suitably set (e.g., linear interpolation in increasing part, and log/linear in the decreasing part of the profile).

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