Signal mining and analysis of adverse drug reactions caused by rituximab / 中国药学杂志

ABSTRACT

OBJECTIVE: To provide the reference for clinical rational safe drug use by the signal mining of adverse drug reactions caused by rituximab. METHODS: Reporting odds ratio and Bayesian confidence propagation neural network methods were used to make a signal mining of suspected ADRs caused by rituximab from FDA Adverse Event Reporting System, where the reports collected from the first quarter in 2014 to the fourth quarter in 2015 can be used in this study. RESULTS: 657 and 43 warning signals were obtained by ROR method and BCPNN method, including 68 new suspected ADR signals by ROR(limited with 95% CI value ranked top 300 ADR signals and ROR value greater than 2.5) and 10 new ADR signals by BCPNN, which are not mentioned in instructions. CONCLUSION: Mining the signals of the adverse drug reactions of rituximab can provide reference for domestic clinical rational safe drug use.