BIOEQUVALENCE
AND
BIOAVAILBILITY
Manoj Kumar Pandey
Definition Of Bioavailability (BA)
FDA Official statement (1997)
The rate and extent to which the active ingredient
of therapeutic moiety is absorbed from a drug
product and becomes available at the site of
action .
 The

extent of bioavailability: AUC , Cmax
 Rate of availability: Rate of availability: C Cmax
max, , T Tmax
Definition Of Bioequivalence (BE)
FDA Official statement (1997)
Two formulations are said to be bioequivalent if
″The rate and extent of absorption of the test drug do
not show a significant difference from the rate and
extent of absorption of the reference drug, when
administered at the same molar dose of the
therapeutic ingredient under similar experimental
conditions in either single dose or multiple doses ″
WHEN BA/BE STAUDIES DO


Clinical Service Form to Final Market Form



Change of formulations (capsules to tablet)



Generic Formulations



Change of Process or manufacturing site (some times)
BA/BE PARAMETERS
Following s are the BA/BE parameters

Cmax-This is the maximum drug concentration achieved in
systemic circulation following drug administration .



AUC0-t- Area under the plasma concentration – time curve
from 0 h to last sampling time.



AUC0-inf - Area under the plasma concentration – time curve
from 0 h to infinity time .
Contd..
 Tmax-

It is the time required to achieve maximum drug
concentration in systemic circulation .
 Kel
 Thalf-

It is the time necessary to reduce the drug
concentration in blood ,plasma or serum to one-half after
equilibrium is reached .
Different
Need for Conducting BA/BE Studies
BA
 To evaluate the absolute systemic availability To active drug
substance from a dosage form
 To

 To

estimate the inter and intra subject variability
study the effect of food on bioavailability
Need for Conducting BA/BE Studies
BE
 When significant changes are made in the manufacture of
the marketed
 When a new generic formulation is tested against the
innovator ’s marketed product
Analysis of Data for Bioequivalence
Determination


Calculation of the natural log of the AUC and Cmax data The
FDA advocates logarithmically transforming AUC and Cmax
data prior to analysis.



Calculation of the difference between the transformed data for
each metric for each subject



The transformed value of the reference AUC is subtracted
from the transformed value of the test AUC for each patient.
This procedure is repeated for the transformed Cmax values.



Calculation of the mean difference between the trans-formed
data.
Contd..


Calculation of the standard deviation of the difference
between the transformed data.



Calculation of the P value of Difference



Calculation of the high and low bounds of confidence intervals
about the mean difference of the transformed data.



Calculation of the intra subject and inter subject variability.



Power calculation .
Decision rule


Bioequivalence is concluded if the confidence intervals about
the ratio of AUC and Cmax both fall within the range of 0.81.25. That is the lower bounds of the confidence intervals must
be greater than or equal to 0.8 and the upper bounds of the
confidence intervals must be less than or equal to 1.25. In the
present example, bioequivalence is not concluded as the lower
bound of each confidence interval is less than 0.8.
Snap Shot of BA/BE With 2x2
Cross Over Design
Two way crossover design
Two way crossover design
 The

BA/BE studies mostly conducted with standard two way
crossover design for regulatory submission
stats
Least Square Mean (LSM)
Test - T
Reference - R
Geometric LSM*
Test - T
Reference - R
LSM Difference (T - R)
SE Difference
p-value (Difference)
Geometric LSM Ratio (%)
Test - T / Reference - R (%)
90% Confidence Interval (%)
Test - T vs. Reference - R
Lower Confidence Limit
Upper Confidence Limit
Intra-Subject Variability (CV %)
Inter-Subject Variability (CV %)
Power (%)

AUCT

AUCI

CMAX

2.9521
2.8817

3.0065
2.9486

0.547
0.5266

19.15
17.84
0.0705
0.081
0.3901

20.22
19.08
0.058
0.0778
0.4615

1.73
1.69
0.0204
0.0833
0.808

107.3

105.97

102.06

93.57
123.04
35.33
23.21
76.3

92.9
120.87
33.88
20.38
79.53

88.66
117.49
36.4
19.92
73.93
ANOVA Table
source
df
ss
ms
fvalue probf
Sequence
1 0.301686 0.301686
2.57 0.1185
Subject(Sequence)
34 7.567339 0.222569
1.89 0.0336
Period
1 0.013442 0.013442
0.11 0.7374
Treatment
1 0.089132 0.089132
0.76 0.3901
Residual
34 3.998678 0.117608 --------Sequence*
1 0.301686 0.301686
1.36 0.2524
Intra-Subject Variability (CV %) =
35.33
Inter-Subject Variability (CV %) =
23.21

Bioequvalence and bioavailbility by Manoj Pandey

  • 1.
  • 2.
    Definition Of Bioavailability(BA) FDA Official statement (1997) The rate and extent to which the active ingredient of therapeutic moiety is absorbed from a drug product and becomes available at the site of action .  The extent of bioavailability: AUC , Cmax  Rate of availability: Rate of availability: C Cmax max, , T Tmax
  • 3.
    Definition Of Bioequivalence(BE) FDA Official statement (1997) Two formulations are said to be bioequivalent if ″The rate and extent of absorption of the test drug do not show a significant difference from the rate and extent of absorption of the reference drug, when administered at the same molar dose of the therapeutic ingredient under similar experimental conditions in either single dose or multiple doses ″
  • 4.
    WHEN BA/BE STAUDIESDO  Clinical Service Form to Final Market Form  Change of formulations (capsules to tablet)  Generic Formulations  Change of Process or manufacturing site (some times)
  • 5.
    BA/BE PARAMETERS Following sare the BA/BE parameters Cmax-This is the maximum drug concentration achieved in systemic circulation following drug administration .  AUC0-t- Area under the plasma concentration – time curve from 0 h to last sampling time.  AUC0-inf - Area under the plasma concentration – time curve from 0 h to infinity time .
  • 6.
    Contd..  Tmax- It isthe time required to achieve maximum drug concentration in systemic circulation .  Kel  Thalf- It is the time necessary to reduce the drug concentration in blood ,plasma or serum to one-half after equilibrium is reached .
  • 7.
  • 8.
    Need for ConductingBA/BE Studies BA  To evaluate the absolute systemic availability To active drug substance from a dosage form  To  To estimate the inter and intra subject variability study the effect of food on bioavailability
  • 9.
    Need for ConductingBA/BE Studies BE  When significant changes are made in the manufacture of the marketed  When a new generic formulation is tested against the innovator ’s marketed product
  • 10.
    Analysis of Datafor Bioequivalence Determination  Calculation of the natural log of the AUC and Cmax data The FDA advocates logarithmically transforming AUC and Cmax data prior to analysis.  Calculation of the difference between the transformed data for each metric for each subject  The transformed value of the reference AUC is subtracted from the transformed value of the test AUC for each patient. This procedure is repeated for the transformed Cmax values.  Calculation of the mean difference between the trans-formed data.
  • 11.
    Contd..  Calculation of thestandard deviation of the difference between the transformed data.  Calculation of the P value of Difference  Calculation of the high and low bounds of confidence intervals about the mean difference of the transformed data.  Calculation of the intra subject and inter subject variability.  Power calculation .
  • 12.
    Decision rule  Bioequivalence isconcluded if the confidence intervals about the ratio of AUC and Cmax both fall within the range of 0.81.25. That is the lower bounds of the confidence intervals must be greater than or equal to 0.8 and the upper bounds of the confidence intervals must be less than or equal to 1.25. In the present example, bioequivalence is not concluded as the lower bound of each confidence interval is less than 0.8.
  • 13.
    Snap Shot ofBA/BE With 2x2 Cross Over Design
  • 14.
  • 15.
    Two way crossoverdesign  The BA/BE studies mostly conducted with standard two way crossover design for regulatory submission
  • 16.
    stats Least Square Mean(LSM) Test - T Reference - R Geometric LSM* Test - T Reference - R LSM Difference (T - R) SE Difference p-value (Difference) Geometric LSM Ratio (%) Test - T / Reference - R (%) 90% Confidence Interval (%) Test - T vs. Reference - R Lower Confidence Limit Upper Confidence Limit Intra-Subject Variability (CV %) Inter-Subject Variability (CV %) Power (%) AUCT AUCI CMAX 2.9521 2.8817 3.0065 2.9486 0.547 0.5266 19.15 17.84 0.0705 0.081 0.3901 20.22 19.08 0.058 0.0778 0.4615 1.73 1.69 0.0204 0.0833 0.808 107.3 105.97 102.06 93.57 123.04 35.33 23.21 76.3 92.9 120.87 33.88 20.38 79.53 88.66 117.49 36.4 19.92 73.93
  • 17.
    ANOVA Table source df ss ms fvalue probf Sequence 10.301686 0.301686 2.57 0.1185 Subject(Sequence) 34 7.567339 0.222569 1.89 0.0336 Period 1 0.013442 0.013442 0.11 0.7374 Treatment 1 0.089132 0.089132 0.76 0.3901 Residual 34 3.998678 0.117608 --------Sequence* 1 0.301686 0.301686 1.36 0.2524 Intra-Subject Variability (CV %) = 35.33 Inter-Subject Variability (CV %) = 23.21