Compliance
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India,
2015-10-14 14:54
(3450 d 02:57 ago)

Posting: # 15559
Views: 8,160
 

 Positive Pre-dose in subsequent period of long acting depot injection [Design Issues]

Dear All,

Does FDA raise any concern if we get around 20 to 25% positive pre-dose concentration in subsequent period of the study? Please note that the product is long acting depot injection and wash out duration fixed based on the data available on FDA site under SBOA for reference product.

Please share your advice/ comment in this regard.

Regards,

Compliance
Helmut
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Vienna, Austria,
2015-10-14 16:44
(3450 d 01:07 ago)

@ Compliance
Posting: # 15561
Views: 6,997
 

 Exclusion of subjects

[image]Hi Compliance,

❝ Does FDA raise any concern …


I don’t have a crystal ball. Substitute “does the FDA” by “will the FDA likely”.

❝ … if we get around 20 to 25% positive pre-dose concentration in subsequent period of the study?


I don’t think so. See the current NDA-draft (Section Subjects with predose plasma drug concentrations):

If the predose concentration is ≤ 5 per­cent of Cmax value in a subject with predose plasma con­cen­tra­tion, you can include the subject’s data without any adjustments in all pharmacokinetic measure­ments and calculations. We recommend that if the predose value is greater than 5 per­cent of Cmax, you drop the subject from all BE study evaluations.

If you exclude subjects you decrease the chance to demonstrate BE (= increase the producer’s risk). The patient’s risk (Type I Error) is of regulatory concern – not the Type  II Error (β = 1 – π). If you are able to show BE despite the lower sample size, fine.
The loss in power is not substantial in most cases:

library(PowerTOST)
CV     <- seq(0.2, 0.6, 0.1)
GMR    <- 0.95
pi     <- 0.85
design <- "2x2x2"
pct.do <- c(0, 20, 25)
min    <- 12
n      <- vector("integer", length(CV))
for (j in seq_along(CV)) {
  n[j] <- sampleN.TOST(CV=CV[j], theta0=GMR, targetpower=pi,
            design=design, print=FALSE)[["Sample size"]]
  if (n[j] < 12) n[j] <- 12
}
res    <- matrix(nrow=length(CV)*length(pct.do), ncol=6, byrow=TRUE,
            dimnames=list(NULL,
              c("pct.CV", "pct.do", "n", "power",
                "loss.abs", "loss.rel.pct")))
r <- 0
for (j in seq_along(CV)) {
  for (k in seq_along(pct.do)) {
    r         <- r+1
    res[r, 1] <- 100*CV[j]
    res[r, 2] <- pct.do[k]
    res[r, 3] <- trunc(n[j]*(100-pct.do[k])/100)
    res[r, 4] <- power.TOST(CV=CV[j], theta0=GMR,
                   n=res[r, 3], design=design)
    if (res[r, 3] == n[j]) {
      pwr.max <- res[r, 4]
    } else {
      res[r, 5] <- round(pwr.max - res[r, 4], 5)
      res[r, 6] <- round(100*(1-res[r, 4]/pwr.max), 3)
    }
  }
}
res    <- data.frame(res)
print(res, row.names=FALSE)

 pct.CV pct.do   n   power loss.abs loss.rel.pct
     20      0  22 0.86889       NA           NA
     20     20  17 0.76365  0.10524       12.112
     20     25  16 0.73541  0.13347       15.361
     30      0  44 0.85076       NA           NA
     30     20  35 0.75955  0.09121       10.721
     30     25  33 0.73220  0.11855       13.935
     40      0  76 0.85644       NA           NA
     40     20  60 0.76574  0.09070       10.590
     40     25  57 0.74270  0.11374       13.281
     50      0 112 0.85187       NA           NA
     50     20  89 0.76333  0.08854       10.394
     50     25  84 0.73758  0.11429       13.416
     60      0 154 0.85229       NA           NA
     60     20 123 0.76649  0.08580       10.067
     60     25 115 0.73669  0.11561       13.564


❝ […] wash out duration fixed based on the data available on FDA site under SBOA for reference product.


In the worst case the FDA might ask why you didn’t perform a pilot study.

If the applicant chooses, a pilot study in a small number of subjects can be carried out before pro­ceed­ing with a full BE study. This pilot study can be used to validate analytical methodology, assess vari­abi­lity, optimize sample collection time intervals, and provide other information.

But that’s not mandatory. A depot injection, well… IMHO, the reference product’s data are sufficient to justify the chosen design.

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ElMaestro
★★★

Denmark,
2015-10-15 00:37
(3449 d 17:14 ago)

@ Compliance
Posting: # 15563
Views: 6,891
 

 Positive Pre-dose in subsequent period of long acting depot injection

Hi compliance,

❝ Does FDA raise any concern if we get around 20 to 25% positive pre-dose concentration in subsequent period of the study? Please note that the product is long acting depot injection and wash out duration fixed based on the data available on FDA site under SBOA for reference product.


As I see it you would never plan for 20%-25% having predose concentrations. You would plan to avoid it. Therefore, in such a study one might argue that planning had gone not just wrong but badly wrong. This would perhaps not affect the conclusion of BE in the study in question, but one could argue that initiating studies where 20%-25% of subjects are futilely exposed to IMP is an ethical concern. Under some circumstances it could be an inspection trigger.

Send some more info. How did your average apparent Kel look in comparison with SPC /prescr. info? Did you find some other useful explanations yourself?

Pass or fail!
ElMaestro
Compliance
★    

India,
2015-10-15 09:36
(3449 d 08:15 ago)

@ ElMaestro
Posting: # 15564
Views: 6,788
 

 Positive Pre-dose in subsequent period of long acting depot injection

Dear Helmut & Elmaestro,

Thank you very much for sharing your concern. Expiry of reference product is only one year and we are planning to conduct 3-WSABE study due to high variability. Due to this we could not keep long wash out period. however we are taking chance that if pre dose >5 % would be higher then it would not been considered for the BE.

We performed one pilot study and my question comes from that study only. In which we got total 13 subject out of 48 with positive pre dose. Out of 13, 09 subject has shown > 5% pre dose concentration.

Regards,

Compliance
Helmut
★★★
avatar
Homepage
Vienna, Austria,
2015-10-15 15:45
(3449 d 02:06 ago)

@ Compliance
Posting: # 15565
Views: 6,978
 

 Expected loss in power

Hi Compliance,

❝ Expiry of reference product is only one year and we are planning to conduct 3-WSABE study due to high variability. Due to this we could not keep long wash out period.


OK, since you are limited by the shelf life of the reference I assume that the FDA would still expect you to plan the wash­outs as long as possible.

❝ however we are taking chance that if pre dose >5 % would be higher then it would not been considered for the BE.


Nitpicking: 5%, not >5%. State conditions for exclusion unambiguously in the protocol.

You shouldn’t worry about loosing power due to excluded subjects. Example for GMR 0.9 (con­ser­va­tive, since highly vari­able!), CV 60%, target power 90%, minimum power 80%, partial re­pli­cate design, FDA’s RSABE:

library(PowerTOST)
pa.scABE(CV=0.6, theta=0.9, targetpower=0.9, minpower=0.8,
  design="2x3x3", regulator="FDA")


gives

Sample size plan scABE (FDA/RSABE)
 Design alpha CVwT CVwR theta0 theta1 theta2 Sample size Achieved power Target power
  2x3x3  0.05  0.6  0.6    0.9    0.8   1.25          57        0.90445          0.9

Power analysis
CV, theta0 and number of subjects which lead to min. acceptable power of at least 0.8:
 CV= 0.9993, theta0= 0.8633
 N = 31 (power= 0.8008)


If you perform the study in 57 subjects, you may loose (dropouts) and/or exclude (predose ≥5% Cmax) 26 (45%!) and still achieve 80% power.

❝ We performed one pilot study […] In which we got total 13 subject out of 48 with positive pre dose. Out of 13, 09 subject has shown > 5% pre dose concentration.


OK, that’s ~20%. Following ElMaestro’s question: Did you see any differences between T and R – especially in λz? For such a formulation λz represents absorption… Or the other way ’round: Was there a substantial diffe­rence in the PEs of AUCt and AUC? If yes, you should consider to sample longer.

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