Age-stratified pharmacovigilance of azithromycin: a multimethod signal detection analysis in the FAERS database.

Abstract

Background: Azithromycin, a widely prescribed macrolide antibiotic, faces emerging safety concerns due to inappropriate use and age-specific adverse drug reactions (ADRs). This study characterises age-stratified safety profiles of azithromycin using pharmacovigilance data.

Methods: Adverse event (AE) reports for azithromycin prescribed in Mycoplasma pneumoniae pneumonia treatment (2004-2024) were extracted from the FDA Adverse Event Reporting System (FAERS). Disproportionality analyses (Reporting Odds Ratio, Proportional Reporting Ratio, Bayesian Confidence Propagation Neural Network, Multi-item Gamma Poisson Shrinker) identified safety signals across four age groups: 0-17, 18-44, 45-64, and ≥65 years.

Results: Among 7,496 AE reports, age-specific risks varied significantly. Paediatric populations (0-17 years) exhibited predominant cutaneous/hypersensitivity reactions (rash, pruritus, Stevens-Johnson syndrome) and unlabelled psychiatric signals (hallucinations). Adults (18-44 years) showed pregnancy-related risks (preterm delivery). Geriatric patients (≥65 years) had heightened cardiac risks (QT prolongation, torsades de pointes), often exacerbated by off-label COVID-19 use. The 45-64-year cohort displayed the highest signal frequency, primarily involving drug hypersensitivity. Off-label prescribing accounted for 65% of geriatric AEs.

Conclusion: Azithromycin safety profiles differ markedly across age groups. Children face dermatologic and neuropsychiatric risks, while elderly patients are vulnerable to cardiac complications. Strict adherence to labelled indications, age-specific monitoring, and avoidance of off-label use - particularly during public health crises - are critical to mitigating ADRs. These findings underscore the need for stratified clinical decision-making and targeted pharmacovigilance.