AI Article Synopsis

  • Direct oral anticoagulants and vitamin K antagonists are identified as potentially inappropriate medications (PIMs) in older adults, with specific drug-drug interactions (DDIs) that can increase the risk of harmful effects like bleeding.
  • The study aimed to assess the occurrence of these PIMs, DDIs, and PIM-DDIs among elderly patients in both primary care and hospitals, as well as predict bleeding events related to them using machine learning techniques.
  • Findings showed similar PIM prevalence in both care settings, but higher rates of DDIs and PIM-DDIs in hospitals; while they weren't major predictors of bleeding, their optimization by healthcare professionals is important for patient safety.

Article Abstract

Direct oral anticoagulants and vitamin K antagonists are considered as potentially inappropriate medications (PIM) in several situations according to Beers Criteria. Drug-drug interactions (DDI) occurring specifically with these oral anticoagulants considered PIM (PIM-DDI) is an issue since it could enhance their inappropriate character and lead to adverse drug events, such as bleeding events. The aim of this study was (1) to describe the prevalence of oral anticoagulants as PIM, DDI and PIM-DDI in elderly patients in primary care and during hospitalization and (2) to evaluate their potential impact on the clinical outcomes by predicting hospitalization for bleeding events using machine learning methods. This retrospective study based on the linkage between a primary care database and a hospital data warehouse allowed us to display the oral anticoagulant treatment pathway. The prevalence of PIM was similar between primary care and hospital setting (22.9% and 20.9%), whereas the prevalence of DDI and PIM-DDI were slightly higher during hospitalization (47.2% vs. 58.9% and 19.5% vs. 23.5%). Concerning mechanisms, combined with CYP3A4-P-gp interactions as PIM-DDI, were among the most prevalent in patients with bleeding events. Although PIM, DDI and PIM-DDI did not appeared as major predictors of bleeding events, they should be considered since they are the only factors that can be optimized by pharmacist and clinicians.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325322PMC
http://dx.doi.org/10.3390/pharmaceutics14071410DOI Listing

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