Disproportionality analysis of drug-induced erectile dysfunction using FAERS database.

Area of Science:

• Pharmacovigilance
• Drug Safety
• Computational Toxicology

Background:

• Drug-Induced Erectile Dysfunction (DIED) poses a significant health concern.
• Systematic identification of drugs causing DIED is crucial for patient safety.
• Existing risk assessment tools for DIED are limited.

Purpose of the Study:

• To systematically identify drugs associated with DIED risk.
• To construct and provide a free DIED risk assessment platform.
• To analyze drug-induced erectile dysfunction onset times and outcomes.

Main Methods:

• Utilized the FAERS database to identify DIED cases.
• Employed disproportionality analysis (ROR, PRR, BCPNN, EBGM) to detect drug signals.
• Applied multivariate logistic regression to assess independent risk factors and confounding variables.

Main Results:

• Identified 67 target drugs as primary suspects in DIED events.
• Detected 28 drugs with significant DIED risk signals.
• Confirmed 23 drugs as independent risk factors for DIED, including previously unreported ones like omeprazole and antihypertensives.

Conclusions:

• This study successfully identified 28 drugs associated with DIED risk.
• The developed DIED risk assessment platform offers a valuable resource for clinicians and researchers.
• Findings highlight the need for clinical vigilance regarding specific drugs and their potential to cause erectile dysfunction.