Predicting Changes of Drug Exposure in Pharmacokinetic Pairwise and Multiple Drug Drug Interactions (MDDI

Abstract 51 drug drug interactions were evaluated by comparing drug exposure values (AUC) assessed based on pharmacokineticly relevant drug properties with published in vivo data. For this purpose the MDDI Calculator of SCHOLZ DataBank was used. It can be concluded that the MDDI Calculator is able to compute changes of drug exposure in pairwise kinetic DDIs in a very reliable and excellent manner. Furthermore, based on the property settings of ingredients according to the available pairwise in vivo data, AUC changes for multiple pharmacokinetic drug drug interactions (MDDI) may be predicted. The predictive power of the MDDI calculator for multiple drug drug interactions is very well confirmed when looking at the few multiple drug drug interactions where in vivo data is available. Regarding in summary all 51 pairwise and 3 triple drug drug interactions researched, the AUC values, in all cases assessed with less than +- 10% deviation from in vivo data, surpassed substantially the set “excellency” target range of 100% +- 24%.