Simplified Mathematical Approach for Back Calculation in Wagner-Nelson Method

4
Your rating: None Average: 4 (1 vote)

Applications in In Vitro and In Vivo Correlation and Formulation Development Work



Dr.M.C Gohel Dr.Mukesh Gohel * , R. R. Delvadia, D. C. Parikh, M. M. Zinzuwadia, C. D. Soni, K. G. Sarvaiya, Neelima R. Mehta, B. R. Joshi and A. S. Dabhi
Department of Pharmaceutics, L. M. College of Pharmacy, P. O. Box 4011, Navrangpura, Ahmedabad 380 009
*For Correspondence: mukeshgohel@hotmail.com

The objective of this work is to present a simplified mathematical approach
for back calculation in the Wagner-Nelson method.

The literature reported values of in vitro study, obtained using
a discriminative and biorelevant test methodology, were used to generate the
calculated plasma concentration of a drug. The volume of distribution, elimination
rate constant and the dose of the drug are needed to predict the calculated
plasma concentration. For validating the proposed equation, Wagner-Nelson
method was adopted to generate the values of elimination rate constant and
volume of distribution in a literature reported in vivo data set.
The applications of the rearranged form of the Wagner-Nelson equation are
shown in judging in vitro in vivo correlation and also in dosage
form design. The steps for obtaining the rearranged form of the Wagner-Nelson
equation are given in an appendix. The proposed method can be used if the
custom made computer programs are not available.

R. R. Delvadia, D. C. Parikh, M. M. Zinzuwadia, C. D. Soni, K. G. Sarvaiya, Neelima R. Mehta, B. R. Joshi and A. S. Dabhi

An in vitro in vivo correlation (IVIVC) deals with a relationship
(preferably linear) between an in vitro characteristic (e.g. in vitro
drug dissolution) and a biological parameter (maximum plasma drug concentration
(Cmax), time at which Cmax reach (Tmax) or area
under the curve). The FDA guidance document states that the main objective of
developing and evaluating an IVIVC is to enable the dissolution test to serve
as a surrogate for in vivo bioavailability study1. The IVIVC is used
in the formulation development work and also in scale up and post approval changes
(SUPAC). The four categories of in vitro in vivo correlation described
in the FDA guidance document are Level A, Level B, Level C and multiple Level
C. Out of these four categories, level A correlation is the most common type of
correlation observed in new drug application (NDA), since it represents a point-to-point
relationship between in vitro drug dissolution and in vivo bioavailability
of the drug from a dosage form.

Mojaverian et al. stated that it is possible to obtain IVIVC by deconvoluting the plasma concentration-time curve using a model independent method such as Wagner-Nelson method or direct mathematical deconvolution and time correction factor2. Even though there are numerous examples of IVIVCs in the literature, many of the correlation have not been rigorously tested through a systematic evaluation of their predictability and majority of them are written by keeping well experienced pharmacokineticians in mind, who are having an access to sophisticated custom made computer programs. Balan et al., used "Kinetica" Software (version 2.0.2, Innaphase, France) for the establishment of Level A correlation.3 Rossi et al., carried out simulations using a computer program to generate plasma concentration-time profile for diltiazem HCl, whose disposition obey to an open two-compartment model4.
Wagner and Nelson developed an equation (see Appendix - I) for calculating absorption rate constant (Ka) and fraction of dose absorbed from plasma drug concentration time profile (in vivo data) for open-compartment model5. The Wagner-Nelson method does not require a model assumption concerning the absorption process6.

Mathematical calculation of fraction of dose absorbed at various time points, from given plasma concentration versus time profile, has been demonstrated very well in literature6-8. The in vitro in vivo correlation is generated using pooled mean fraction of dose dissolved (FRD) and pooled mean fraction of dose absorbed (FRA) from two or more formulations. The objective of the present study is to present a rearranged form of the Wagner-Nelson equation for evaluating IVIVC.

Discussion

Pharmacist will appreciate that calculation of the plasma drug concentration
from the data of fraction of dose absorbed at different time points requires
thorough understanding of Wagner-Nelson method. An effort is made in this
work to compute the calculated plasma drug concentration using an EXCEL worksheet.

Appendix I shows the steps to evolve the re-arranged form of the Wagner-Nelson
equation. It is assumed that a perfect Level A correlation exist between
the vitro and the vivo performance of a drug. ΔF is the difference
between fractions of drug dissolved at two successive sampling time points.
Δt is the difference between two time points used for calculating
ΔF. When the drug is given by an extravascular route, the concentration
of drug at zero time is taken as zero. The proposed equation can be used
to compute plasma drug concentration using the in vitro dissolution data
set as an input. It is desirable the in vitro dissolution test is discriminative
and biorelevant. The dose of the drug (D), elimination rate constant (Ke),
and volume of distribution (Vd) are needed for computing plasma
drug concentration. The volume of distribution of a drug is a constant.9

 

Validation of Model

The actual in vivo data (time and plasma drug concentrations) are necessary to validate the proposed equation (Eq. 1.5). The plasma drug concentration and fraction of drug absorbed at zero time are considered as zero. The elimination rate constant (Ke=0.04211 h-1) was calculated by performing regression analysis between time and natural log plasma drug concentration for the terminal data points. A perfect Level A IVIVC yields a straight line with slope equal to one and intercept equal to zero. This can happen if there is a perfect match between FRD and FRA. For the purpose of validating the rearranged form of the Wagner - Nelson equation (Appendix - I), FRA is considered as the results obtained in a biorelevant dissolution test (FRD). The reported results of vivo studies (the first two columns in Table 1) were used as the input values10. The fraction of dose absorbed was calculated by the reported method6-8. The amount of drug absorbed/Vd at the last sampling time (24 h) was considered as Amax/Vd.7 The calculated value of Amax/Vd was 4.234 (Table 1). The volume of distribution was calculated by using the relationship; Vd = (1*200000)/4.234. Fraction of dose absorbed is considered as 1 and the dose is 200,000 mg. The volume of distribution was calculated as 47.23 liters.

Equation 1.5, reported in Appendix I, was used to generate the calculated values of plasma drug concentration at different time points (see Table 1). A sample calculation is shown in Table 1A. The observed and the calculated values of plasma drug concentration at different time points are identical, indicating the suitability of eq. 1.5 for back calculation in the Wagner-Nelson method.

Application in IVIVC

In order to show the application of the proposed equation in IVIVC, the actual in vivo and in vitro data reported by Shishoo et al., were used.10 It is worthwhile to note that in this part of study FRA is not considered as equal to FRD, since the objective of this part of the study was to show application of eq.1.5 in IVIVC. The values of Ke (0.04211h -1) and Vd (47.233 L) were taken as that obtained in the in vivo studies. Table 2 shows the results of calculated plasma drug concentration and percentage prediction error. The percentage prediction error was calculated as ((observed Cp-predicted Cp)/observed Cp)*100. Good agreement can be seen between the observed and the predicted values.

A pharmacist often fails in establishing level A IVIVC in the first attempt, i.e. after conducting the in vivo studies in human and in vitro study under one set of conditions. The in vitro test is carried out by varying different parameters in statistically designed experiments under such circumstances. A set of in vitro dissolution conditions that show good correlation with in vivo results is then used for quality assurance.

Application in dosage form design

For showing the application of the proposed equation in
formulation and development work, volume of distribution of theophylline was
obtained from a reference book11. The reported value of Vd
for theophylline is 0.5 l/kg. The average weight of human being was taken
as 70 kg12. The Vd was calculated as 35 l. The elimination
rate constant was calculated from the reported value of elimination half-life
value (3-13 h-1)12. The average value of half-life (8
h) was used to calculate elimination rate constant (0.0863 h-1).
Generally, Ke is estimated by administering a drug in solution
or rapidly dissolving dosage form. The actual in vitro data was used
as input10 (Table 2). The calculated plasma drug concentration
is shown in Table 3. Good agreement can be seen between the observed and the
predicted values. The accuracy of prediction will depend up on the correctness
of the pharmacokinetic parameters.

The applications of the proposed equation can be extended to the selection of suitable dissolution conditions (type of media, agitation rate and type of dissolution equipment) and also in investigating the influence of minor changes in the formulation of dosage form during scale-up. While seeking a bio-waiver, such a treatment may prove to be useful. The USP XXVI has included special guidance for bioequivalence (BE) study <1090> and the BE study results are also reported in ANDA applications13. The failure rate in BE studies is very high and this results in delay in submission of ANDA. The usual practice at industry is to make changes in formulation and again repeat the expensive BE study. Different formulations may be screened at this time by using the proposed equation for the selection of a bio-batch, i.e. a batch to be used in BE studies. A copy of EXCEL worksheet can be obtained from the authors upon request.

In conclusion, the rearranged from of the Wagner-Nelson equation can be used for establishing IVIVC and also in dosage form design. All the computations can be quickly performed in EXCEL. The Loo-Riegelman equation can also be given similar treatment to deal with the drugs that do not satisfy the requirements of Wagner-Nelson equation.

Appendix - I

Derivation of Equation for Back Calculation of Wagner - Nelson
Equation

According to the Wagner - Nelson equation,. 5

Image ........................(1.1)

Where,

At = Amount of drug absorbed at time ‘t'.

A= Amount of drug absorbed at time ‘infinite'.

Ke = Elimination rate constant of the drug.

Image = Area under the curve of the plasma concentration versus time profile of drug, for time period between t = 0 to t = t.

Image = Area under the curve of the plasma concentration versus time profile of drug, for time period between t = 0 to t = ∞.

 

Now, Ft = At/A = fraction of drug absorbed at time‘t',

Image

However,

Image (1.2)

Where,

D = Dose of drug administered

Vd = Apparent volume of distribution

Assuming that at infinite time, the administered dose is completely absorbed, i.e. F=1 in equation (1.2)

Image

The rearranged forms of Wagner - Nelson for time t and t+1 are given below:

Image.................................(1.3)

Image ..........................(1.4)

Subtracting equation (1.3) from equation (1.4)

Image

Image

Image

 

Image

Image

Taking Ft+1-Ft = ?F and, tt+1-tt = ?t,

Image

Image

Image

Image

Image

Image

Image ....................(1.5)

TABLE 1: RESULTS OF VALIDATION STUDY OF REARRANGED FORM OF WAGNER-NELSON
EQUATION
.

Time (h)

Observed Plasma Concentration+

(µg/ml)

At/Vd

Fraction of dose absorbed

Calculated Plasma Concentration

(µg/ml)*

1

0.891

0.90

0.214

0.891

2

1.997

2.07

0.490

1.997

3

2.616

2.79

0.659

2.616

4

3.411

3.71

0.877

3.411

5

3.33

3.77

0.891

3.33

6

3.868

4.46

1.054

3.868

7

3.371

4.12

0.973

3.371

8

3.433

4.32

1.021

3.433

10

2.916

4.07

0.962

2.916

12

2.877

4.28

1.011

2.877

24

1.679

4.23

1

1.679

+ Data source: reference 10, * See Equation 1.5 in Appendix I

A perfect Level A correlation between in vitro and in vivo studies

is assumed (i.e. FRA=FRD), Elimination Rate Constant (Ke) = 0.04211 h -1,

At/Vd = Cp + Ke*AUC6

Volume of Distribution (Vd) = 47.234 L, Dose = 200000 µg


TABLE 1A: SAMPLE CALCULATION FOR VALIDATION OF THE PROPOSED MODEL

 

 

A

B

C

Time

(h)

FRA = FRD

Calculated plasma drug concentration

1

2

1

0.2148

0.891 (See equation 1.5)

?F = (0.2148-0) = 0.2148, Dose (D) = 200000 mg,

Vd = 47234 ml, Ct = 0 (Plasma drug concentration at 0 time is Zero),

Ke = 0.04211 h-1, ?t = (1-0) = 1

The above mentioned values are inserted in equation 1.5 to calculate

Ct+1 (Plasma drug concentration at 1 h = 0.891)


TABLE 2: RESULTS OF BACK CALCULATION IN WAGNER-NELSON EQUATION- APPLICATION IN IVIVC

Time


(h)

Fraction of drug dissolved*

Predicted Cpx

Observed Cp+

% Prediction Error

0

1

0.187

0.778

0.891

12.61

2

0.453

1.848

1.997

7.41

3

0.624

2.479

2.616

5.22

4

0.773

2.997

3.411

12.11

5

0.849

3.186

3.33

4.30

6

0.915

3.328

3.868

13.93

7

0.927

3.241

3.371

3.83

8

0.958

3.236

3.433

5.73

*Source: Reference 10 (actual in vitro data)

The values of pharmacokinetics parameters are shown in Table 1

Cp = Plasma drug concentration, x Calculated using Eq.1.5,

+ Refer Table 1

TABLE 3: RESULTS OF BACK CALCULATION IN WAGNER-NELSON EQUATION - APPLICATION IN DOSAGE FORM DESIGN

Time

(h)

Fraction of drug dissolved*

Predicted Cp

Observed Cp

Absolute % Prediction Error

00.00

1

0.187

1.028

0.891

15.41

2

0.453

2.399

1.997

20.13

3

0.624

3.133

2.616

19.77

4

0.773

3.692

3.411

08.26

5

0.849

3.799

3.33

14.08

6

0.915

3.845

3.868

00.59

7

0.927

3.591

3.371

06.55

8

0.958

3.462

3.433

00.87

* Source: Reference 10 (actual in vitro data), literature reported values of

Vd (35 L) and Ke (0.0863h -1) were used for calculating predicted Cp11


References

  1. Guidance for Industry: Extended Release Oral Dosage Forms: Development,
    Evaluation and Application of In Vitro / In Vivo Correlations, US FDA, CDER,
    Rockville, MD., 1997.
  2. Mojaverian, P., Rosen, J., Vadino, W. A., Liebowitz, S. and Radwansk,
    E., Journal of Pharmaceutical and Biomedical Analysis, 1997, 15, 439.
  3. Balan, G., Timmins, P., Greene, D. S. and Marathe, P. H., J. Pharm. and
    Pharmacol., 2000, 52, 831.
  4. Rossi, S., Ferrari, F., Bonferoni, M. C., Caramella, C., La Manna, A.,
    Valserra, M. and Feletti, F., Bollettino Chimico Farmaceutico, 1991, 130,
    443.
  5. Wagner, J. and Nelson, E., J. Pharm. Sci., 1963, 52, 610.
  6. Bourne, D. W. A.; In Banker, G. S. and Rhodes, C. T, Eds; Modern Pharmaceutics,
    4th edn, Marcel Dekker, Inc., New York, 2002, 81.
  7. Gibaldi, M. and Perrier, D., In; Pharmacokinetics, 2nd edn,
    Marcel Dekker, Inc., New York,1982, 149.
  8. Lieberman, H. A., Lachman, L. and Schwartz, J. B., in ; Pharmaceutical
    Dosage Forms - Tablets, Volume - II, 2nd edn, Marcel Dekker,
    Inc., New York, 1990, 530.
  9. Curry, S. H., In; Clinical Pharmacokinetics, Drug disposition and pharmacokinetics
    - with consideration of Pharmacological and Clinical relationship, 3rd
    edn., Blackwell Scientific Publication, Oxford, London, 1980, 185.
  10. Shishoo, C. J., Savale, S. S., Shah, S. A., Rathod, I. S. and Mukherjee,
    P. K., Indian J.Pharm. Sci., 2002, 64, 222.
  11. Jack, D. B., In; Handbook of Clinical Pharmacokinetic data, Mac-Millan
    publishers Ltd., Basingstoke, 1994, 121.
  12. Katzung, B. K., In; LANGE medical book, " Basic and Clinical Pharmacology",
    8th edn., McGraw Hill, Inc., Newyork, 2001,37.
  13. The United State Pharmacopoeia, Vol. XXVI, The US Pharm Convention, Inc.,
    Rockville, MD 2003, 2340.