Data mining results for reduction of adverse drug-drug interaction events in older adults are clinically applicable.

ABSTRACT:

Background

Polypharmacy increases the risks of drug-drug interactions (DDIs), which increase the risk of adverse drug events (ADEs). Data mining techniques have described high-order (three or four) drug combinations as high risk for ADE and suggested alternative low-risk combinations, but were not able to establish clinical feasibility.

Objective

The objective of this study is to evaluate the clinical feasibility of potentially low-risk drug combinations identified in previous work through a data mining technique as substitutes for high-risk high-order drug combinations.

Methods

This expert-review study utilizes potentially high-risk high-order drug combinations and complementary low-risk combinations identified in previously published work from Medicare fee-for-servi

SUBMITTER: Hunold KM 

PROVIDER: S-EPMC12723580 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature