Generating Evidence of Clinical Outcomes of Drug–Drug Interactions
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As prescription drug use is on the rise, new medications are entering the market each year, and individuals with multiple comorbid conditions are living longer, the potential for drug–drug interactions (DDIs) is increasing. It has been estimated that DDIs are responsible for 1–5% of all hospital admissions [2, 3] and 13% of all adverse drug events in community-dwelling older adults . With tens of thousands of potentially interacting drug pairs on the market , identifying and managing potential DDIs has become a daunting task for healthcare professionals and patients. Studies have found that clinicians’ knowledge about DDIs is limited [6, 7] and the reliability of DDI information sources is questionable [8, 9]. Once heralded as a solution to reducing exposure to DDIs [7, 10], information technology (IT)-based clinical decision-support systems generate an excessive number of DDI alerts, the overwhelming majority of which (≥90%) are routinely overridden [11, 12, 13] and not always...
KeywordsVentricular Arrhythmia Potential DDIs Drug Pair Concomitant Exposure Immortal Time Bias
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No sources of funding were used to assist in the preparation of this commentary.
Conflict of interest
Joshua Gagne is Principal Investigator of an investigator-initiated research grant from Novartis Pharmaceuticals Corporation to the Brigham and Women’s Hospital for unrelated work. He is a consultant to Aetion, Inc. and to Oputm, Inc. for unrelated work. Katsiaryna Bykov is supported by an unrestricted training grant from Takeda, Cambridge, MA, USA, to Harvard T.H. Chan School of Public Health.
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