Ramesh
☆    

India,
2007-10-15 12:52
(6832 d 16:36 ago)

Posting: # 1189
Views: 7,441
 

 acceptance of calibration curve [Regulatives / Guidelines]

Dear group members,
I have a query on Calibration curve acceptance criteria.
case:
We have 11 points in the calibration curve starting from STD 1 to STD 11 (lower to higher), and one blank and blank IS (blank sample with IS).

In one of the subject sample analyis run, all the standards (STD 1 to STD 11) are with in the specifications for accuracy, but, both blank and blank IS are not meeting the acceptance criteria (less 20 % of the LOQ(STD 1)) against the STD 1.

so we have removed the STD 1 from the regression and calculated the interference in the STD balnk and STD Zero samples (blank sample with IS),
against the STD 2, making STD 2 as the new LOQ, unfortunately still both blank and blank IS are not meeting the acceptance criteria against the STD 2, at this stage we have gone further and calculated the interference against the STD 3.

Making STD 3 as new LOQ, both the blank and blank IS are meeting the acceptance criteria.


Shall we accept the CC curve (truncated curve) even though 2 points (consecutives) are removed form the regression, by taking in to consideration that 75 % of the CC points are included in the regression?

One more problem is, we have 3 QCs with each batch [QC1(low), QC2 (medium)and QC3(high)], after making the STD 3 as new LOQ (truncated curve) the low level QC (QC1) (concentration) is falling below the STD 3 nominal concentration.

Shall we accept the subject samples batch even though low level QC is falling out of the truncated CC range by repeating the unknown samples, which are below the STD 3.

Please provide your valuable inputs.

Regards

with regards,

Ramesh
Helmut
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Vienna, Austria,
2007-10-15 21:30
(6832 d 07:58 ago)

@ Ramesh
Posting: # 1192
Views: 6,340
 

 Removal of data points from CC

Dear Ramesh - or Debbie in PharmPK ;-)

❝ … all the standards (STD 1 to STD 11) are with in the specifications for accuracy, but, both blank and blank IS are not meeting the acceptance criteria (less 20 % of the LOQ(STD 1)) against the STD 1.


Where does this criterion (<20% of LLOQ) come from?
And how do you calculate it actually - since you don't know the concentration, do you compare the measured response of the blank with the calculated response at zero (=intercept of the CC)?

❝ so we have removed the STD 1 from the regression and calculated the interference in the STD balnk and STD Zero samples (blank sample with IS), against the STD 2, making STD 2 as the new LOQ, …


… in trusting the interference more than your calibrators?

Most people would allow removal of data points from the calibration curve only (for <25% of data points) if the back-calculated concentration deviates more than 15% (or 20% at the LLOQ) from the nominal concentration in the following cases:
  • not more than 25% of data points are affected, and
  • the validated regression model would not change (http://www.fda.gov/cder/guidance/4252fnl.pdf FDA).
  • Excluded points should not be consecutive (ANVISA).
Removal is possible only for CC data points back-calculated from the entire regression model. IMHO you are trying to remove data points, because you have some problems with contamination in both CC-blanks.
I assume, you don’t have contaminations at the other levels of the CC, because in this case you would get an increased (compared to other CCs) intercept, which should give a back-calculated value of ≪LLOQ for the blanks.

Your method of defining a new LLOQ higher than than the lowest QC-level simply leads to a rejected run.


Edit: Link corrected for FDA’s new site. [Helmut]

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Ramesh
☆    

India,
2007-10-16 06:45
(6831 d 22:43 ago)

@ Helmut
Posting: # 1193
Views: 6,309
 

 Removal of data points from CC

Dear Helmut

The criteria for the < 20% of LLOQ is response at the RT of the Drug in the blank and blank+IS samples compare to the LLOQ response (STD 1).

with regards,

Ramesh
Charl
●    

2007-10-16 10:47
(6831 d 18:41 ago)

@ Ramesh
Posting: # 1196
Views: 6,245
 

 Removal of data points from CC

Dear Ramesh..

❝ The criteria for the < 20% of LLOQ is response at the RT of the Drug in the blank and blank+IS samples compare to the LLOQ response (STD 1).


I quote from FDA guidance "The analyte response at the LLOQ should be at least 5 times the rsponse compared to blank response."

I understand that 100% is 4 times the 20% not 5.! ;-)

are in method development or in-study analysis?
once you are in in-study stage you cant just omit the Lowest concentration level LOQ.

I quote from FDA guidance "At least four out of six non-zero standards should meet the above criteria, including the LLOQ and the calibration standard at the highest concentration. Excluding the standard should not change the model".

at least 67% of the standards should obey the criteria for cc.

regards
Charl
H_Rotter
★    

Germany,
2007-10-16 15:44
(6831 d 13:44 ago)

@ Charl
Posting: # 1203
Views: 6,184
 

 Arithmetics ;-)

Hi Charl!

❝ I understand that 100% is 4 times the 20% not 5.! ;-)


I would understand that 100% = 5x20%, whereas 4x20% = 80%...

Hermann
Charl
●    

2007-10-17 10:55
(6830 d 18:33 ago)

@ H_Rotter
Posting: # 1205
Views: 6,253
 

 Arithmetics ;-)

Dear Hermann

I always have this argument with my collegues, simple math will do the problem 20x5=100
but I always see it as: 20 (0 time), 40 ( 1 time), 60 ( 2times), 80 ( 3 times), 100 ( 4 times)......

so for me its not 20% its 16%.......:-D

cheers.....
Ramesh
☆    

India,
2007-10-16 07:13
(6831 d 22:15 ago)

@ Helmut
Posting: # 1194
Views: 6,266
 

 criteria for the removal of standards from the regression

Dear group members,

AS per the guidelines the CC standards are removed from the regression if back calculated concentration is more than the 15% of nominal concentration and 20% in case of LLOQ.

CASE:
  1. I have a calibration curve of 9 Standards, two standards are not meeting the acceptnace criteria (one is failing by 117% and other failing by 116% of nominal concentration).
  2. if remove the standard failing by 117% first, the QC's of the batch are not meeting the acceptance criteria.
  3. if i remove the standard failing by 116% first instead of standard failing by 117%, QC's meets the acceptance criteria.
Query:
so is there any scientifica justification or any thumb rule for the removal of the CC standards.
if not what will be criteria for the removal of standards if more than one is out of acceptnace criteria.

with regards,
Ramesh.V


Edit: Post linked to another thread. [HS]

with regards,

Ramesh
Ohlbe
★★★

France,
2007-10-18 20:36
(6829 d 08:52 ago)

@ Ramesh
Posting: # 1217
Views: 6,242
 

 criteria for the removal of standards from the regression

Dear Ramesh,

❝ so is there any scientifica justification or any thumb rule for the removal of the CC standards.

❝ if not what will be criteria for the removal of standards if more than one is out of acceptnace criteria.


No precision in the FDA guideline on bioanalytical method validation.

The one thing to avoid, unless you want to run into trouble, would be to decide which CC to exclude based on the results of the QC samples.

What I usually see is that the CC with the highest deviation is excluded first, then the calibration curve is recalculated. If other CCs are still failing, the one with the highest deviation is excluded, and so on.

Your criteria should be defined in a pre-established SOP, and not on the basis of the results obtained.

Regards
Ohlbe
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