Simplified Mathematical Approach for Back Calculation in Wagner-Nelson Method
Applications in In Vitro and In Vivo Correlation and Formulation Development Work
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.

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.
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
Application in dosage form design
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.
Appendix - I
Derivation of Equation for Back Calculation of Wagner - Nelson
Equation
........................(1.1)
= Area under the curve of the plasma concentration versus time profile of drug, for time period between t = 0 to t = t.
= Area under the curve of the plasma concentration versus time profile of drug, for time period between t = 0 to t = ∞.

(1.2)

.................................(1.3)
..........................(1.4)





....................(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
|
|
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
|
|
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
|
References
- Guidance for Industry: Extended Release Oral Dosage Forms: Development,
Evaluation and Application of In Vitro / In Vivo Correlations, US FDA, CDER,
Rockville, MD., 1997. - Mojaverian, P., Rosen, J., Vadino, W. A., Liebowitz, S. and Radwansk,
E., Journal of Pharmaceutical and Biomedical Analysis, 1997, 15, 439. - Balan, G., Timmins, P., Greene, D. S. and Marathe, P. H., J. Pharm. and
Pharmacol., 2000, 52, 831. - Rossi, S., Ferrari, F., Bonferoni, M. C., Caramella, C., La Manna, A.,
Valserra, M. and Feletti, F., Bollettino Chimico Farmaceutico, 1991, 130,
443. - Wagner, J. and Nelson, E., J. Pharm. Sci., 1963, 52, 610.
- Bourne, D. W. A.; In Banker, G. S. and Rhodes, C. T, Eds; Modern Pharmaceutics,
4th edn, Marcel Dekker, Inc., New York, 2002, 81. - Gibaldi, M. and Perrier, D., In; Pharmacokinetics, 2nd edn,
Marcel Dekker, Inc., New York,1982, 149. - 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. - 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. - Shishoo, C. J., Savale, S. S., Shah, S. A., Rathod, I. S. and Mukherjee,
P. K., Indian J.Pharm. Sci., 2002, 64, 222. - Jack, D. B., In; Handbook of Clinical Pharmacokinetic data, Mac-Millan
publishers Ltd., Basingstoke, 1994, 121. - Katzung, B. K., In; LANGE medical book, " Basic and Clinical Pharmacology",
8th edn., McGraw Hill, Inc., Newyork, 2001,37. - The United State Pharmacopoeia, Vol. XXVI, The US Pharm Convention, Inc.,
Rockville, MD 2003, 2340.
