Data mining for adverse drug reaction signals of daptomycin based on real-world data: a disproportionality analysis of the US Food and Drug Administration adverse event reporting system

Background Previous reports on daptomycin’s adverse drug reactions (ADRs) have been insufficient, often because of limited data. Pharmacovigilance risk signal detection is innovative and has been applied to the safety monitoring and reevaluation of drugs post-marketing. Aim The study aimed to promote safe daptomycin prescribing by mining and evaluating the daptomycin ADR signals from the US Food and Drug Administration Adverse Event Reporting System (FAERS). Method A disproportionality analysis (reporting odds ratio ROR and proportional reporting ratio PRR) was utilized for FAERS data mining from the first quarter of 2004 to the second quarter of 2021 (the most recent quarterly data at the time of the study). Preferred Terms of ADR reports were categorized by System Organ Class (SOC) based on the Medical Dictionary for Regulatory Activities. Results This study retrieved 12,221 cases within the reporting period. A total of 140 repetitive signals were obtained by ROR and PRR, of which 53 new ADR signals were not recorded in the drug labels/datasheets. The top three ADR reports were “ blood creatine phosphokinase elevation” (ROR, 56.66, 95% confidence interval (CI) 51.07–62.87, PRR 51.94), “ eosinophilic pneumonia” (ROR 696.71, 95%CI 603.21–804.70, PRR 657.57), and “ rhabdomyolysis” (ROR 22.85, 95%CI 19.94–26.18, PRR 21.83). The highest ROR of “ antimicrobial susceptibility test resistant” was found at 9808.14. Reports of rare adverse events, such as “ necrotizing fasciitis and compartment syndrome,” have emerged . The significant SOCs were “ Infections and Infestations ” and “ Investigations .” Conclusion New daptomycin ADR signals were detected. Clinicians should monitor these potential ADRs in patients receiving daptomycin.