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A Novel Extravascular Input Function for the Assessment of Drug Absorption in Bioavailability Studies

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Abstract

Purpose. Flexible parametric models describing the input process after extravascular drug administration are needed for the assessment of absorption rate and the use of population methods in bioavailability and bioequivalence studies.

Methods. The oral concentration-time curve modeled as the product of the input and disposition function in the Laplace domain was obtained by numerical inversion methods for parameter estimation. The utility of the inverse Gaussian input density was examined using bioavailability data of an extended-release dosage form. Measures of rate of absorption and the cumulative absorbed amount profile were defined in terms of the estimated model parameters.

Results. Accurate estimation of absorption parameters was achieved by simultaneous fitting of the extravascular and intravascular data (describing the latter by a triexponential function). The new input function allowed a direct estimation of both extent of absorption and mean absorption time.

Conclusions. The findings suggest that the inverse Gaussian density is a useful input function. Its flexibility may reduce the effect of model misspecification in parameter estimation. All parameters can be readily interpreted in terms of the absorption process.

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REFERENCES

  1. M. Weiss, J. Pharmacokin. Biopharm. 14:635–657 (1986).

    Google Scholar 

  2. M. Weiss, J. Pharmacokin. Biopharm. 15:57–74 (1986).

    Google Scholar 

  3. M. Weiss, Eur. J. Clin. Pharmacol. 43:571–579 (1992).

    Google Scholar 

  4. Y. G. Sinai, Probability Theory, Springer, Berlin Heidelberg, 1992.

    Google Scholar 

  5. M. Weiss, Eur. J. Clin. Pharmacol. 25:695–702 (1983).

    Google Scholar 

  6. R. S. Chhikara and J. L. Folks, Technometrics. 19:461–468 (1977).

    Google Scholar 

  7. M. K. Charter, In W. T. Grandy, Jr. and L. H. Schick (eds.), Maximum Entropy and Bayesian Methods., Kluwer Academic Publishers, Netherlands, 1991, pp. 245–252.

    Google Scholar 

  8. R. D. Purves, J. Pharm. Sci. 84:71–74 (1995).

    Google Scholar 

  9. J. M. van Rossum and C. A. M. van Ginneken, In E. Gladtke and H. Heimann (eds.), Pharmacokinetics, Fischer, Stuttgart, 1980, pp. 53–73.

    Google Scholar 

  10. D. Brockmeier, H. J. Dengler and D. Voegele, Eur. J. Clin. Pharmacol. 28:291–300 (1985).

    Google Scholar 

  11. K. L. H. Chan and M. Gibaldi, J. Pharm. Sci. 74:388–393 (1985).

    Google Scholar 

  12. K. E. Fattinger and D. Verotta, Clin. Pharmacol. Ther. 58:595–599 (1995).

    Google Scholar 

  13. F. Bressolle, J. M. Laurelli, R. Gomeni, J. G. Bechier, N. R. Wynn, M. Galtier and J. J. Eledjam, J. Pharm. Sci. 82:1175–1178 (1993).

    Google Scholar 

  14. F. Bressolle, R. Gomeni, R. Alric, M. J. Royer-Morrot and J. Necciari, J. Pharm. Sci. 83:1461–1464 (1994).

    Google Scholar 

  15. F.-Y. Liu, N. C. Sambol, R. P. Giannini and C. Y. Liu, Pharm. Res. 12:720–728 (1995).

    Google Scholar 

  16. L. Endrenyi, S. Fritsch, and W. Yan, Int. J. Clin. Pharmacol. Ther. Toxicol. 29:394–399 (1991).

    Google Scholar 

  17. F. Y. Bois, T. N. Tozer, W. W. Hauck, M.-L. Chen, R. Patnaik and R. L. Williams, Pharm. Res. 11:966–974 (1994).

    Google Scholar 

  18. A. Rostami-Hodjegan, P. R. Jackson and G. T. Tucker, J. Pharm. Sci. 83:1554–1557 (1994).

    Google Scholar 

  19. G. Paintaud, L. Helleday, C. W. Maboundou and G. Alvàn, Eur. J. Clin. Pharmacol. 49:139–143 (1995).

    Google Scholar 

  20. K. E. Fattinger and D. Verotta, J. Pharmacokin. Biopharm. 23:581–610 (1995).

    Google Scholar 

  21. N. H. G. Holford, R. J. Ambros and K. Stoeckel, J. Pharmacokin. Biopharm. 20:421–442 (1992).

    Google Scholar 

  22. R. Miller and T. M. Ludden, Eur. J. Clin. Pharmacol. 44:231–235 (1993).

    Google Scholar 

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Weiss, M. A Novel Extravascular Input Function for the Assessment of Drug Absorption in Bioavailability Studies. Pharm Res 13, 1547–1553 (1996). https://doi.org/10.1023/A:1016039931663

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