ArticleEuropean journal of clinical pharmacology2026
Identification of novel signal of DRESS associated with antibiotics: a disproportionality analysis of the FDA adverse event reporting system (FAERS) database.
Article in European journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Funding
Abstract
purposeAntibiotics are widely used in the management of bacterial infections However; most antibiotics are not known for DRESS. Our objective is to find out the association of DRESS with available antibiotics using disproportionality analysis.
methodsRetrospective pharmacovigilance disproportionality analysis based on the FDA Adverse Event Reporting System (FAERS) database from a period of 2004 Q1- 2022 Q3 was conducted using OpenVigil 2.1 tool. Disproportionality measures like Proportional reporting Ratio with associated Chi- square values (PRR ≥ 2 with associated χ2 ≥ 4), ROR with a 95% confidence interval (lower limit of 95% C.I. of ROR is greater than 1), and the number of cases of co-occurrence (n) were used for the identification of novel signals.
resultsA total of 13,918 cases of DRESS were reported, out of which 5,455 cases were found with various classes of antibiotics. The signal of DRESS was identified with a total of 40 antibiotics. Sub groups analysis results have shown variation in the strength of signal based on gender, age groups and geographical locations. The sensitivity analysis results have shown a decrease in the strength of signal after removal of cases of concomitant drugs.
conclusion22 antibiotics were identified which can be associated with DRESS; however, further causality assessment is required to confirm the association.
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