Detection of a Potential Pericarditis Safety Signal Associated With Azithromycin: Evidence From FAERS Disproportionality Analysis
Author(s)
HARI R S, MPH1, Eswaran Maheswari, Sr., PhD2.
1Student, MSRUAS, Bengaluru, India, 2M S Ramaiah University Of Applied Sciences, Bangalore, India.
1Student, MSRUAS, Bengaluru, India, 2M S Ramaiah University Of Applied Sciences, Bangalore, India.
OBJECTIVES: Azithromycin is a widely used macrolide antibiotic indicated for the treatment of various bacterial infections including respiratory tract infections, sexually transmitted infections, and certain enteric infections. Pericarditis, an inflammation of the pericardium, is a rare but potentially serious cardiac adverse event that has not been extensively reported in association with azithromycin use. Continuous pharmacovigilance using large spontaneous reporting databases is essential to detect such rare signals. This study aims to detect and evaluate a potential pharmacovigilance signal linking azithromycin to pericarditis, usingdisproportionality analysis of the FDA Adverse Event Reporting System (FAERS).
METHODS: A retrospective disproportionality analysis was conducted using the FAERS database. Reports mentioning azithromycin and the adverse event of pericarditis were extracted. Data mining was performed using OpenVigil and PubMed for literature corroboration. The analysis included calculation of Proportional Reporting Ratio (PRR), Reporting Odds Ratio(ROR), and chi-square statistics to evaluate the disproportionality signal. Positive signal criteria were defined as PRR ≥ 2, ROR-1.96SE>1 and chi-square > 4. Additionally, the study seeks to quantify the strength of the association through established signal detection metrics and identify whether it is supported by published literature.
RESULTS: The disproportionality analysis revealed a strong signal between azithromycin and pericarditis in the FAERS database. The PRR of 2.071 and ROR of 2.069 with a highly significant chi-square value 6.709 and drug event is 14 support the association beyond random chance. Literature review via PubMed showed limited case reports corroborating this association, suggesting that pericarditis may be an under recognized adverse event related to azithromycin therapy.
CONCLUSIONS: This analysis identified a statistically significant signal linking azithromycin to pericarditis in FAERS data. Although causality cannot be established, the findings highlight a potential under-recognized cardiac risk. Further epidemiological and mechanistic studies are recommended to validate this association and ensure patient safety during azithromycintherapy.
METHODS: A retrospective disproportionality analysis was conducted using the FAERS database. Reports mentioning azithromycin and the adverse event of pericarditis were extracted. Data mining was performed using OpenVigil and PubMed for literature corroboration. The analysis included calculation of Proportional Reporting Ratio (PRR), Reporting Odds Ratio(ROR), and chi-square statistics to evaluate the disproportionality signal. Positive signal criteria were defined as PRR ≥ 2, ROR-1.96SE>1 and chi-square > 4. Additionally, the study seeks to quantify the strength of the association through established signal detection metrics and identify whether it is supported by published literature.
RESULTS: The disproportionality analysis revealed a strong signal between azithromycin and pericarditis in the FAERS database. The PRR of 2.071 and ROR of 2.069 with a highly significant chi-square value 6.709 and drug event is 14 support the association beyond random chance. Literature review via PubMed showed limited case reports corroborating this association, suggesting that pericarditis may be an under recognized adverse event related to azithromycin therapy.
CONCLUSIONS: This analysis identified a statistically significant signal linking azithromycin to pericarditis in FAERS data. Although causality cannot be established, the findings highlight a potential under-recognized cardiac risk. Further epidemiological and mechanistic studies are recommended to validate this association and ensure patient safety during azithromycintherapy.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
EPH58
Topic
Epidemiology & Public Health, Methodological & Statistical Research, Real World Data & Information Systems
Topic Subcategory
Safety & Pharmacoepidemiology
Disease
Cardiovascular Disorders (including MI, Stroke, Circulatory), Infectious Disease (non-vaccine), Respiratory-Related Disorders (Allergy, Asthma, Smoking, Other Respiratory), Systemic Disorders/Conditions (Anesthesia, Auto-Immune Disorders (n.e.c.), Hematological Disorders (non-oncologic), Pain), Urinary/Kidney Disorders