ZERO AND 1ST MOMENT AREA ESTIMATION FROM MICRODIALYSIS DATA

The calculation of classical pharmacokinetic parameters from microdial ysis data has been described in a previous paper. In this paper I have derived methods for calculating AUMC and AUC from the time-integral t ype of data that are generated in microdialysis pharmacokinetics exper iments. The method derived to estimate AUC is elementary, but is given a theoretical basis using principles of mathematical real analysis, c learly stating the assumptions. The method derived to estimate AUMC is a numerical approximation method based on the linear trapezoidal meth od. A simulation study was performed to evaluate the precision of the methods and to compare them with corresponding methods for analysis of blood sample data. The estimates from the presently derived methods h ave a small bias and a small variance. In the simulation study I inves tigated the influence of model parameters, number of samples, size of statistical error, and the size of the AUC beyond the last sample. Fin ally, I have given numerical examples from real data to illustrate the use of the method.