Comparison of drug-drug interaction checking databases for interactions involving BCR-ABL tyrosine kinase inhibitors


ISTANBUL JOURNAL OF PHARMACY, no.1, pp.32-39, 2024 (ESCI) identifier


Background and Aims: BCR-ABL tyrosine kinase inhibitors (TKIs) are used for the treatment of chronic myeloid leukemia and are commonly involved in clinically significant drug-drug interactions (DDIs). In this study, we aimed to evaluate the consensus of DDI checking databases for interactions involving BCR-ABL TKIs. Methods: We checked DDIs of 100 drugs with six BCR-ABL TKIs-dasatinib, imatinib, nilotinib, ponatinib, bosutinib, and asciminib-in two subscription-based databases (UpToDate and Micromedex) and two open-access databases ( and Medscape). Databases were compared in terms of severity ratings, literature support ratings, and general interaction mechanism definitions using Fleiss' and Cohen's kappa statistics. Results: A total of 410 interactions were found. Nilotinib was the most interacted TKI, with 88 interactions. detected the highest number of interactions (n = 355). The overall agreement levels of databases for the severity ratings and general mechanisms were calculated as 0.13 (p = 0) and 0.28 (p = 0), respectively. The Micromedex- UpToDate pair showed the highest agreement level in terms of severity ratings and general mechanism definitions, with kappa values of 0.23 and 0.45, respectively. Conclusion: The differences among databases for DDIs involving BCR-ABL TKIs were statistically significant. Therefore, healthcare practitioners should check DDIs in multiple databases.