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A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Exploring Risks of Adverse Drug Events From Single Drug to Three-Drug Combination
Yi Shi1, Anna Sun1, Chien-Wei Chiang2
1Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana, USA.
Clinical and Translational Science
|July 18, 2026
Summary
Three-drug combinations significantly increase the risk of adverse drug events (ADEs). Researchers identified over 3,400 risky combinations using real-world data, showing escalating risks with more drugs.
Area of Science:
- Pharmacovigilance
- Real-world evidence analysis
- Drug safety research
Background:
- Polypharmacy, particularly three-drug combinations, is prevalent and may elevate the risk of adverse drug events (ADEs).
- Identifying and quantifying these risks from real-world data is crucial for patient safety.
Purpose of the Study:
- To identify signals of ADEs associated with three-drug combinations.
- To quantify the escalating risk of ADEs from single-drug to three-drug exposures.
- To develop a tool for visualizing these drug combination risks.
Main Methods:
- Utilized a US nationwide insurance claims database to extract 1.7 million covariate-matched ADE-case-control pairs.
- Investigated approximately 0.25 million three-drug combinations.
- Employed conditional logistic regression to estimate odds ratios (ORs) and controlled for false discovery rate (FDR < 0.01).
Main Results:
- Identified 3412 signals of adverse three-drug combinations (OR > 2).
- Observed a significant increase in median ORs: single drug (1.03), two-drug (1.45), and three-drug (2.95) combinations.
- Developed a web-based tool to illustrate the dose-dependent increase in ADE risk.
Conclusions:
- Specific three-drug combinations are linked to a higher risk of adverse drug events.
- The risk of ADEs demonstrably increases with the number of concurrently used drugs, from single to triple combinations.
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