Mahesh M ★ India, 2015-12-29 12:21 (3374 d 03:21 ago) Posting: # 15769 Views: 11,560 |
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Dear All, For truncated design (AUC truncated to 72 hours) is it required to take additional samples 72.00 hrs onwards to identified intra subject variability of AUC0-∞ or regulatory agency accept PK data up to 72.00 hrs.? Regards |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2015-12-29 14:12 (3374 d 01:29 ago) @ Mahesh M Posting: # 15772 Views: 10,225 |
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Hi Mahesh, ❝ For truncated design (AUC truncated to 72 hours) is it required to take additional samples 72.00 hrs onwards to identified intra subject variability of AUC0-∞ or regulatory agency accept PK data up to 72.00 hrs.? Are the terms “truncated design” / “truncated study” common in India? Doesn’t make sense to me. Since you posted in the Regulatives / Guideline category I guess you are referring to the FDA? You can use Cmax and a suitably truncated AUC to characterize peak and total drug exposure, respectively. For drugs that demonstrate low intrasubject variability in distribution and clearance, you can use an AUC truncated at 72 hours (AUC0-72 hr) in place of AUC0–t or AUC0–inf. For drugs demonstrating high intrasubject variability in distribution and clearance, AUC truncation should not be used. It is beyond me how one should assess that. And, not or…
![]() Ways out? Literature data? Don’t fall into the trap of comparing the CVw of AUC0–∞ with the one of AUC0–t. We would need the one of t½ or of the extrapolated part. I have never ever seen these values. Interested to learn how our experienced US-members deal with this stuff. John, Nathan, Linda, Angus, Louis? PS: The EMA’s GL does not contain such a bizarre restriction for IR-products. Truncation is not acceptable for all MR-products. IMHO, makes sense for controlled release. Not accepting truncation for delayed release is debatable… — 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 |
Mahesh M ★ India, 2015-12-29 14:51 (3374 d 00:50 ago) @ Helmut Posting: # 15774 Views: 9,724 |
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Dear Helmut, Thank you so much for your explanation. ❝ #2 is strange. Where would one get the X and Y from? Can we use our pilot study data (CV % for partial AUC from pilot study) to support truncated design in pivotal study. Regards |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2015-12-29 16:43 (3373 d 22:59 ago) @ Mahesh M Posting: # 15775 Views: 9,746 |
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Hi Mahesh, ❝ ❝ #2 is strange. Where would one get the X and Y from? ❝ ❝ Can we use our pilot study data (CV % for partial AUC from pilot study) to support truncated design in pivotal study. Which partial AUC do you have in mind? Especially demonstrating low variability in distribution gives me headaches. Sanofi didn’t have the balls to come up with values of cut-off variabilities (plural!). Why the heck did they state <X% for low and ≥Y% for high CV? What’s in between? Case-by-case, pick out the best? The FDA is concerned only about high variability and I guess they mean a CVw of 30%. — 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 |
Averroes ☆ Spain, 2016-05-27 02:01 (3224 d 14:41 ago) @ Helmut Posting: # 16367 Views: 7,911 |
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Hi Helmut and other members, I would like to rescue this post to know if any member of the forum could share their experiences using truncated AUC0-72 for FDA studies. We recently performed a study using AUC0-72 (very low CVw indeed) and we would like to know what could we expect from FDA. Any experiences? Many thanks |