DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions. (13th March 2021)

• Record Type: Journal Article
• Authors: Wu, Patrick; Nelson, Scott D; Zhao, Juan; Stone Jr, Cosby A; Feng, QiPing; Chen, Qingxia; Larson, Eric A; Li, Bingshan; Cox, Nancy J; Stein, C Michael; Phillips, Elizabeth J; Roden, Dan M; Denny, Joshua C; Wei, Wei-Qi
• Is Part Of: Journal of the American Medical Informatics Association. Volume 28:Number 7(2021)
• Page Start: 1421
• Page End: 1430
• Publication Date: 2021-03-13
• Subjects: drug interactions -- drug-related side effects -- adverse reactions -- pharmacovigilance -- electronic health records -- data mining; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocab019
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: Objective: We developed and evaluated Drug-Drug Interaction Wide Association Study (DDIWAS). This novel method detects potential drug-drug interactions (DDIs) by leveraging data from the electronic health record (EHR) allergy list. Materials and Methods: To identify potential DDIs, DDIWAS scans for drug pairs that are frequently documented together on the allergy list. Using deidentified medical records, we tested 616 drugs for potential DDIs with simvastatin (a common lipid-lowering drug) and amlodipine (a common blood-pressure lowering drug). We evaluated the performance to rediscover known DDIs using existing knowledge bases and domain expert review. To validate potential novel DDIs, we manually reviewed patient charts and searched the literature. Results: DDIWAS replicated 34 known DDIs. The positive predictive value to detect known DDIs was 0.85 and 0.86 for simvastatin and amlodipine, respectively. DDIWAS also discovered potential novel interactions between simvastatin-hydrochlorothiazide, amlodipine-omeprazole, and amlodipine-valacyclovir. A software package to conduct DDIWAS is publicly available. Conclusions: In this proof-of-concept study, we demonstrate the value of incorporating information mined from existing allergy lists to detect DDIs in a real-world clinical setting. Since allergy lists are routinely collected in EHRs, DDIWAS has the potential to detect and validate DDI signals across institutions.