Statistical methods for exploring spontaneous adverse event reporting databases for drug-host factor interactions

• Published in: BMC medical research methodology Vol. 23; no. 1; pp. 71 - 13
• Main Authors: Lu, Zhiyuan, Suzuki, Ayako, Wang, Dong
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 27.03.2023; BioMed Central; BMC
• Subjects: Adverse and side effects; Adverse Drug Reaction Reporting Systems; Age; Analysis; Computer Simulation; Contingency tables; Databases, Factual; Drug interactions; Drug-host factor interactions; Drug-Related Side Effects and Adverse Reactions - epidemiology; Drugs; Expected values; FAERS; Health aspects; Humans; Hypotheses; Likelihood Functions; Likelihood ratio tests; Liver; Medical research; Pharmaceutical Preparations; Postmarket surveillance; Spontaneous reporting adverse event databases; Statistical methods; Surveillance; United States; United States; FAERS; Postmarket surveillance; Spontaneous reporting adverse event databases; Drug-host factor interactions; Likelihood ratio tests

Drug toxicity does not affect patients equally; the toxicity may only exert in patients who possess certain attributes of susceptibility to specific drug properties (i.e., drug-host interaction). This concept is crucial for personalized drug safety but remains under-studied, primarily due to methodo...