Prostaglandin analogues signal detection by data mining in the FDA Adverse Event Reporting System database.

ABSTRACT:

Objective

This study aims to identify safety signals of ophthalmic prostaglandin analogues through data mining the Food and Drug Administration Adverse Event Reporting System (FAERS) database.

Methods

A data mining search by proportional reporting ratio, reporting OR, Bayesian confidence propagation neural network, information component 0.25 and χ² for safety signals detection was conducted to the FAERS database for the following ophthalmic medications: latanoprost, travoprost, tafluprost and bimatoprost.

Results

12 preferred terms were statistically associated: diabetes mellitus, n=2; hypoacusis, n=2; malignant mediastinal neoplasm, n=1; blood immunoglobulin E increased, n=1; cataract, n=1; blepharospasm, n=1; full blood count abnormal, n=1; skin exfoliati

SUBMITTER: Contreras-Salinas H 

PROVIDER: S-EPMC11367404 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature