2002 Volume 28 Issue 3 Pages 225-233
Therapeutic Drug Monitoring (TDM) supporting software based on the Bayesian method was developed in order to support TDM work. We mostly used the population parameters of Japanese patients that have been reported in recent years, and in the case of drugs which had not been reported for Japanese parameters, we used the foreign parameters. The algorithm of the non-linear least squares method for the Bayesian method uses the Simplex method. Nineteen different types of drugs such as cardiac glycoside, anticonvulsants, bronchodilators, antibiotics and antiarrhythmic drugs can thus be calculated. The typical characteristics of this software are shown as follows :
1. The system was easy to use and the form was standardized because the software was designed to be used equally for several different types of drugs. 2. By classifying the range of effective blood concentrations by color, the variations in drug concentrations could be interpreted clearly. 3. The parameters estimated by this software to population parameters could be easily compared using the accumulation density function. 4. The preservation of the analysis results was possible, and it is therefore easy to compare the findings with past data. 5. A re-calculation of the dosage using the analysis results of analysis is possible. 6. As for Arbekacin, Vancomycin and Teicoplanin, the parameters could be estimated using the Sawchuk-Zaske method. Consequently, this software was found to be useful for performing effective Therapeutic Drug Monitoring.
