Obinoscopy ★ USA, 2020-07-16 16:30 (1608 d 06:38 ago) Posting: # 21713 Views: 8,401 |
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Dear All, I am trying to get my head around why reanalyzing a blank sample because it had values above LLOQ in the initial analysis is not considered reanalysis for pharmacokinetic reason. My thinking is...if a pre-dose sample gives a detectable peak area on analysis and on evaluation, there seem to be no explanation for this, why is it okay to reanalyze it again? Isn't it not considered reanalysis based on PK? Could it be because the concentration at time t = 0 is not used in calculating AUC? I don't know. Also please what are the examples of reanalysis that are considered reanalysis due to PK reasons? Thanks. — Scopy |
Helmut ★★★ Vienna, Austria, 2020-07-16 17:10 (1608 d 05:59 ago) @ Obinoscopy Posting: # 21716 Views: 7,851 |
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Hi Scopy, ❝ I am trying to get my head around why reanalyzing a blank sample because it had values above LLOQ in the initial analysis is not considered reanalysis for pharmacokinetic reason. Congratulations for discovering this inconsistency. ❝ My thinking is...if a pre-dose sample gives a detectable peak area on analysis and on evaluation, there seem to be no explanation for this, why is it okay to reanalyze it again? That’s against scientific thinking. If regulators read this: Sorry to say, no offense intended. ❝ Isn't it not considered reanalysis based on PK? Actually it is. At least in a drug-naïve subject in the first period it should be zero. See Harold Boxenbaum’s quote in this post. In any higher period we hope that the washout was sufficiently long enough… If there would be a true unequal carry-over, we have no means to get an unbiased estimate of the treatment effect. ❝ Could it be because the concentration at time t = 0 is not used in calculating AUC? No. A limited carry-over is acceptable. That means:
❝ Also please what are the examples of reanalysis that are considered reanalysis due to PK reasons? According to the current guidelines (EMA 2011, FDA 2018, ICH draft 2019) it is no more acceptable. IMHO, bad science. See the two case studies in this presentation (slides 22–35). The first one was an obvious sample mix-up in the clincal phase and the second one likely an – undocumented – problem in sample handling. However, in both cases samples were reanalyzed (good scientific practice = ignoring the GL) and results confirmed. That reveals a common problem: In most cases errors occur in the clinical phase and not in bioanalytics. Now what? In the past it was acceptable to perform a blinded review of data and have rules for reanalysis / exclusion in the protocol. Regrettably, those days are gone and – understandable – paranoia (driven by the many cases of fraud) prevails. Nowadays reanalysis is only acceptable for the obvious reasons: Concentration >ULOQ, batch not valid, poor chromatography* (e.g., interference, degraded column), malfunctioning equipment, forgotten to add IS or derivatization reagent, etc.
— Dif-tor heh smusma 🖖🏼 Довге життя Україна! Helmut Schütz The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
Ohlbe ★★★ France, 2020-07-16 19:16 (1608 d 03:52 ago) @ Helmut Posting: # 21718 Views: 7,750 |
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Dear Scopy and Helmut, ❝ ❝ I am trying to get my head around why reanalyzing a blank sample because it had values above LLOQ in the initial analysis is not considered reanalysis for pharmacokinetic reason. ❝ ❝ Congratulations for discovering this inconsistency. Not necessarily an inconsistency: in the EMA guideline, PK re-analysis is not acceptable only for BE trials, but the guideline is applicable to all bioanalytical work. Confirming the presence of the analyte in a pre-dose sample could be relevant for other types of studies (and even worse, finding analyte in a placebo-treated subject, or animal in a TK study). ❝ ❝ My thinking is...if a pre-dose sample gives a detectable peak area on analysis and on evaluation, there seem to be no explanation for this, why is it okay to reanalyze it again? ❝ ❝ That’s against scientific thinking. I do see a scientific value: trying to understand whether this could be due to a contamination or analytical carry-over. But I agree this could be done under the reanalysis for "laboratory investigations" allowed by the guideline. Other potential argument: the potential influence on AUC is very limited and there is no influence on Cmax, so there is no risk that such re-analysis may be done in order to make a failing study pass (which I did see once in the past). ❝ According to the current guidelines (EMA 2011, FDA 2018, ICH draft 2019) it is no more acceptable. IMHO, bad science. Agreed. ❝ In the past it was acceptable to perform a blinded review of data and have rules for reanalysis / exclusion in the protocol. Regrettably, those days are gone and – understandable – paranoia (driven by the many cases of fraud) prevails. Strangely enough, according to discussions I had with people involved in drafting the EMA guideline, it seems that it was the assessors who did not want to hear about PK repeats, not the inspectors – though the latter are well known for their paranoia, and for good reasons. ❝ * Funny term. What is ‘rich chromatography’? — Regards Ohlbe |
Helmut ★★★ Vienna, Austria, 2020-07-16 20:39 (1608 d 02:29 ago) @ Ohlbe Posting: # 21720 Views: 7,717 |
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Dear Ohlbe, ❝ ❝ According to the current guidelines (EMA 2011, FDA 2018, ICH draft 2019) it is no more acceptable. IMHO, bad science. ❝ ❝ Agreed. Agreed on what? That is not acceptable or that it is bad science? Don’t feel pushed to answer. ❝ Strangely enough, according to discussions I had with people involved in drafting the EMA guideline, it seems that it was the assessors who did not want to hear about PK repeats, not the inspectors… That’s very strange indeed. ❝ … – though the latter are well known for their paranoia, and for good reasons. Of course. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! Helmut Schütz The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
Ohlbe ★★★ France, 2020-07-16 21:15 (1608 d 01:54 ago) @ Helmut Posting: # 21721 Views: 7,754 |
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Dear Helmut, ❝ ❝ ❝ According to the current guidelines (EMA 2011, FDA 2018, ICH draft 2019) it is no more acceptable. IMHO, bad science. ❝ ❝ ❝ ❝ Agreed. ❝ ❝ Agreed on what? That is not acceptable or that it is bad science? That it is bad science, of course ! To accept as a matter of principle data which are obviously incorrect, and to refuse as a matter of principle for these data to be corrected, is something I fail to understand. I understand that assessors may be suspicious if there were some re-analyses for PK reasons. If the study is only borderline passing, they always have the possibility to perform (or ask for) a statistical analysis with the original data. Depending on the outcome, they may ask for an inspection. — Regards Ohlbe |
Obinoscopy ★ USA, 2020-07-16 23:48 (1607 d 23:21 ago) @ Ohlbe Posting: # 21723 Views: 7,719 |
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Hi Ohlbe ❝ Confirming the presence of the analyte in a pre-dose sample could be relevant for other types of studies (and even worse, finding analyte in a placebo-treated subject, or animal in a TK study). Besides non-BE studies, I also noticed that reanalysis to confirm the presence of the analyte in a pre-dose sample is allowed by some BE assessors. Do you think those group of BE assessors are inconsistent? I ask this because, the same assessors will not accept reanalysis of post-dose samples to correct an irregular PK profile. — Scopy |
Ohlbe ★★★ France, 2020-07-17 01:07 (1607 d 22:01 ago) @ Obinoscopy Posting: # 21725 Views: 7,747 |
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Hi Scopy, ❝ Do you think those group of BE assessors are inconsistent? There is indeed a high between-subject variability when it comes to PK assessors, sometimes even some within-subject variability, depending on their degrees of freedom . In Europe: add the between-country variability. In the US: possibly a between-review-division variability ? — Regards Ohlbe |
Helmut ★★★ Vienna, Austria, 2020-07-17 18:11 (1607 d 04:57 ago) @ Ohlbe Posting: # 21734 Views: 7,683 |
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Hi Ohlbe, ❝ There is indeed a high between-subject variability when it comes to PK assessors, sometimes even some within-subject variability, depending on their degrees of freedom . ❝ In Europe: add the between-country variability. Perfect description. Last year I had a discussion with members of an European agency about irregular profiles and exclusion of data. They told me to regularly (‼) accept exclusion of “physiologically not plausible concentrations”. I was surprised and said that it is against the GL. Raised eyebrows… — Dif-tor heh smusma 🖖🏼 Довге життя Україна! Helmut Schütz The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
Obinoscopy ★ USA, 2020-07-18 01:48 (1606 d 21:20 ago) @ Ohlbe Posting: # 21735 Views: 7,551 |
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Hi Ohlbe, ❝ In Europe: add the between-country variability. In the US: possibly a between-review-division variability ? I wonder the study design we can use to measure these variabilities...especially the variability within the USFDA. But this is sad...I had thought standardization and uniformity of regulatory review methods should be one of the foundation of regulatory science. — Scopy |
ElMaestro ★★★ Denmark, 2020-07-17 01:19 (1607 d 21:49 ago) @ Obinoscopy Posting: # 21726 Views: 7,769 |
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Hi Obi, ❝ Besides non-BE studies, I also noticed that reanalysis to confirm the presence of the analyte in a pre-dose sample is allowed by some BE assessors. Do you think those group of BE assessors are inconsistent? I ask this because, the same assessors will not accept reanalysis of post-dose samples to correct an irregular PK profile. What I was enforcing back in my day (roughly 200 million years ago), and what I think it still widely accepted, is not so complicated but perhaps convoluted: PK-repeat analysis may be used as part of a lab investigation, but it still requires a root cause to report a repeat value. A root cause is not a statistical figure but something tangible that proves that the original value is not indicative of the concentration in the sample. Whatever the result of a repeat sample is, that in itself is not a root cause. Some CROs/labs have elaborate schemes with samples being flagged for repeats if they are out of expectation by some objective or subjective measure, and then three repeats are done, and we enter a decision scheme involving a comparison of the original value with the mean or median of the three repeats in the absence of a root cause. That is not at all universally agreed upon as ideal, I think. — Pass or fail! ElMaestro |
dshah ★★ India, 2020-07-17 08:40 (1607 d 14:29 ago) @ ElMaestro Posting: # 21729 Views: 7,720 |
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Greetings team! I believe that Helmut is correct and without a predefined SOP for repeat analysis, repeat would not be acceptable! If we are focusing on root cause, I believe that for pre-dose concentration even in period-I would not cause a significant issue to final BE out come as it may only impact AUC and it would not be significant. If the value is MT 5% of Cmax, the subject would by default not considered for statistical evaluation . And for Root cause- most of CRO are not able to identify and thus there would not be a CAPA. Thanks, Dshah Edit: Full quote removed. Please delete everything from the text of the original poster which is not necessary in understanding your answer; see also this post #5! [Ohlbe] |
Obinoscopy ★ USA, 2020-07-18 02:27 (1606 d 20:41 ago) @ dshah Posting: # 21737 Views: 7,666 |
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Hi dshah ❝ If we are focusing on root cause, I believe that for pre-dose concentration even in period-I would not cause a significant issue to final BE out come as it may only impact AUC and it would not be significant. If the value is MT 5% of Cmax, the subject would by default not considered for statistical evaluation . How can you be so sure that its effect on AUC won't be significant? The removal/or inclusion of a subject from a statistical evaluation is enough is change the outcome especially if the result is borderline. — Scopy |
dshah ★★ India, 2020-07-20 09:22 (1604 d 13:46 ago) @ Obinoscopy Posting: # 21755 Views: 7,390 |
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Dear Scopy! Pls note that over here, we are only taking for pre-dose concentration. If the predose concentration>5%, the subject would be excluded from analysis as per most of the guideline. Pls find following example to illustrate that the impact on AUC would not be significant. ❝ ❝ If we are focusing on root cause, I believe that for pre-dose concentration even in period-I would not cause a significant issue to final BE out come as it may only impact AUC and it would not be significant. If the value is MT 5% of Cmax, the subject would by default not considered for statistical evaluation. ❝ ❝ How can you be so sure that its effect on AUC won't be significant? The removal/or inclusion of a subject from a statistical evaluation is enough is change the outcome especially if the result is borderline. The concentration in below table is shown where only Pre-dose concentration is changed and then AUC is given using PKSolver. time concentration 1 concentration 2 concentration 3 concentration 4 I believe that such small change in AUC can be considered non-significant. Regards, Dshah |
Obinoscopy ★ USA, 2020-07-20 16:12 (1604 d 06:57 ago) @ dshah Posting: # 21761 Views: 7,278 |
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Hi Dshah ❝ ❝ AUC 826.125 826.375 826.625 826.75 ❝ I believe that such small change in AUC can be considered non-significant. I agree with you that these changes are very little. But you'd be amazed at how the difference between 826.125 and 826.375 is enough to make a study that failed (eg CI of T/R: 79.99 - 111.11) to pass (eg CI of T/R: 80.02 - 111.11). Regards, — Scopy |
Ohlbe ★★★ France, 2020-07-20 16:43 (1604 d 06:25 ago) @ dshah Posting: # 21762 Views: 7,355 |
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Dear Dshah, ❝ Pls note that over here, we are only taking for pre-dose concentration. If the predose concentration>5%, the subject would be excluded from analysis as per most of the guideline. ❝ I believe that such small change in AUC can be considered non-significant. The change in AUC is indeed extremely limited, and unless the study outcome is just at the boundary it will indeed not have any influence in itself. But excluding or including a subject, depending on whether his pre-dose concentration is > or < 5% of Cmax, can have dramatic consequences. — Regards Ohlbe |
Obinoscopy ★ USA, 2020-07-18 02:00 (1606 d 21:08 ago) @ ElMaestro Posting: # 21736 Views: 7,578 |
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Hi ElMaestro, ❝ PK-repeat analysis may be used as part of a lab investigation, but it still requires a root cause to report a repeat value. From my understanding of the current thinking of assessors, PK-repeats can be done for lab investigation. However the values are not to be used for pharmacokinetic calculations and Bioequivalence determination. But, during your enforcing days, PK-repeats can be used for BE determination provided a root cause of the initial result was established, right? If that's true, then I'd say those were the good old days for bioanalytical/pharmacokinetics scientists. — Scopy |
ElMaestro ★★★ Denmark, 2020-07-20 09:49 (1604 d 13:19 ago) @ Obinoscopy Posting: # 21756 Views: 7,330 |
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Hi obi, ❝ From my understanding of the current thinking of assessors, PK-repeats can be done for lab investigation. However the values are not to be used for pharmacokinetic calculations and Bioequivalence determination. If there is an established root cause which can be said to disqualify the initial value, then the (or a) repeat value is the natural value to report (provided of course that the repeat value is in itself considered valid and not suffering the same issue). When I audit CROs I often encourage dialogue about the distinction between recording a value and reporting a value. It is a bit more than word play. ❝ But, during your enforcing days, PK-repeats can be used for BE determination provided a root cause of the initial result was established, right? If that's true, then I'd say those were the good old days for bioanalytical/pharmacokinetics scientists. That's right. Even back then, when dinosaurs were roaming the jungle, Lucy was still not born, TV shows about the Kardasians were in black and white, flint axes were popular etc, I was enforcing it that way. Actually, I can see I make it sound like I was influential and competent. Nothing could be farther from the truth (and that's still the lamentable state of things, by the way). I rarely opened the analytical report in dossiers I assessed, but when I on occasion did then repeats (samples, runs or of individual validation tests), deviations, integrations, failed runs, exclusions/inclusion for A&P calculation, and stabilities tended to be the topics that had my attention. — Pass or fail! ElMaestro |
Helmut ★★★ Vienna, Austria, 2020-07-20 12:52 (1604 d 10:16 ago) @ ElMaestro Posting: # 21758 Views: 7,342 |
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Hi ElMaestro, ❝ Even back then, when dinosaurs were roaming the jungle, Lucy was still not born, TV shows about the Kardasians were in black and white, flint axes were popular etc,… May I clarify the “etc.” partly? When I was barefooted dressed in furs and estimated rate constants from concentrations plotted on semi-log paper by means of a transparent ruler, a blinded review of data was common and excluding not plausible values was the rule rather than an exception. If you have the stamina to watch the recordings mentioned there (navigate to 02:00:00): One participant asked “We all have seen concentrations which are ten times higher than adjacent ones. You can repeat the value a hundred times and will always get the same result. Is it possible to use M&S to justify exclusion?” Note that they were talking about a full-blown PopPK model and not just a simple lin-log regression and the likes. The answer of a guy of the FDA was in the spirit of Little Britain’s Vicky:See also my post above. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! Helmut Schütz The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
ElMaestro ★★★ Denmark, 2020-07-20 14:12 (1604 d 08:57 ago) @ Helmut Posting: # 21759 Views: 7,302 |
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Hi Hötzi, ❝ May I clarify the “etc.” partly? When I was barefooted dressed in furs and estimated rate constants from concentrations plotted on semi-log paper by means of a transparent ruler, a blinded review of data was common and excluding not plausible values was the rule rather than an exception. I still consider you kind of furry or, at the very least, hairy Thanks for linking to presentations. I'll listen over them. — Pass or fail! ElMaestro |
Achievwin ★★ US, 2020-07-28 01:47 (1596 d 21:21 ago) @ Obinoscopy Posting: # 21793 Views: 6,377 |
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❝ I am trying to get my head around why reanalyzing a blank sample because it had values above LLOQ in the initial analysis is not considered reanalysis for pharmacokinetic reason. IMHO most of your comments would have been anticipated and included in the Clinical and/or Bioanalytical study protocol on handling (Identifying, analyzing, and reporting) "PK repeats" there was a round table discussion in the AAPS annual meeting sometime around 2006, where three speakers discussed this issue "PK repeats- to do or not do" Key take home message: "You have to follow the same criteria (whatever it is) which is defined before you start the sample analysis and follow tat criteria for the entire study" (NO dropping dead rat from the safety analysis)" Hope you got my point. AchievWin |