Disproportionality analysis of drug-induced dry mouth using data from the United States food and drug administration adverse event reporting system database.

ABSTRACT:

Background

Drug-induced dry mouth is an adverse reaction that can significantly affect the quality of life and mental state of patients. In this study, we aimed to identify the most common drugs associated with dry mouth using data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database.

Methods

We accessed data from the FAERS database between the first quarter of 2004 and the first quarter of 2024. The Medical Dictionary for Regulatory Activities was used to identify reports of dry mouth, and disproportionality analyses (reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker) were performed to examine the risk signals for dry mouth and its causative

SUBMITTER: Xu D 

PROVIDER: S-EPMC11472086 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature