Establishment of the visualization platform for ADR query and analysis: an example of severe skin adverse reactions caused by sulfonylureas (Preprint)

Abstract

Driven by the need of medical staff and general public to collect and review adverse drug reactions (ADRs) of interest, we introduced and validated a visualization platform for querying and analyzing data from the FDA Adverse Event Reporting System (FAERS). A case study of the association between sulfonylureas and serious skin adverse reactions was conducted to validate platform usability.

To build a visualization platform for querying and analyzing data from the FDA Adverse Event Reporting System (FAERS), facilitating the collection and review of adverse drug reactions (ADRs) of interest.

We performed appropriate data acquisition, cleaning and subsequent platform interface and functional development of available data. In order to evaluate the usability of the platform, we focused on a case study involving serious skin adverse reactions caused by sulfonylureas.

We developed a visualization platform for adverse reaction query and analysis based on FAERS data. The platform consists of five components, including the login page, multi-condition query, drug and adverse reaction query, primary ID query and data download interface. The high usability of the platform was verified by demonstrating the signal mining results of serious skin adverse reactions caused by sulfonylureas and visualizing information.

The visualization platform and verification cases constructed in this study provide a suitable framework and method for drug safety research, which is expected to promote the development of pharmacovigilance.