Sensitivity and specificity in signal detection with the reporting odds ratio and the information component

Safety assessment of Yasmin: Real-world adverse event analysis using the FAERS database

BACKGROUND

This study aimed to elucidate the scope and nature of adverse events (AEs) associated with Yasmin.

METHODS

Among the 17,035,572 AE reports collected from the Food and Drug Administration Adverse Event Reporting System (FAERS) database between January 2004 and September 2023, 25,949 reports involved Yasmin. The demographic details, clinical outcomes, and sources of reports were extracted, and four algorithms were used to evaluate adverse drug reactions.

RESULTS

The majority of the AE reports involved females aged 18-45 years. Hospitalization was the most frequently reported serious outcome (46.84 %), with death occurring in 292 patients (1.82 %). The highest number of reports originated from the United States. Adverse reactions spanned across 24 system organ categories (SOCs), and hepatobiliary, vascular, and psychiatric disorders were the most frequently reported AEs. A total of 229 Preferred Terms (PTs) were identified for adverse reactions, with high signal strength observed for conditions such as post-cholecystectomy syndrome. In addition, fear of disease, which has not been previously identified as an AE related to Yasmin, was also identified as a high signal strength side effect.

CONCLUSION

The findings of the present study underscore the importance of monitoring and identifying potential AEs in patients receiving Yasmin, including those not currently listed in the medication instructions.

Cognitive dysfunction following finasteride use: a disproportionality analysis of the global pharmacovigilance database

BACKGROUND

Finasteride is commonly prescribed for androgenic alopecia and benign prostatic hyperplasia. However, concerns regarding its safety have been growing as cases of cognitive dysfunction have been reported.

METHODS

A disproportionality analysis was conducted on data collected between 1967 and 2022 to explore the potential association. Cases of cognitive dysfunction associated with finasteride use were identified, and the reporting odds ratio (rOR) was calculated with 95% confidence intervals to determine the strength of the association between the two variables. Sensitivity analyses were conducted to account for confounding by indication.

RESULTS

Among the 54,766 cases of adverse events reported for finasteride use, 1,624 (2.97%) were associated with cognitive dysfunction. The study found a significant disproportionality for cognitive dysfunction related to finasteride use (rOR 5.43, 95% CI 5.17-5.71). Most cases were considered serious (65.83%), with no signs of recovery (58.37%). Sensitivity analyses showed that patients younger than 45 years (rOR 7.30, 95% CI 6.39-8.35) and those with alopecia (rOR 5.52, 95% CI 5.15-5.91) reported more cognitive dysfunctions than their counterparts.

CONCLUSION

This study showed an increased reporting of cognitive dysfunction associated with finasteride use, especially among younger alopecia patients. Finasteride should be prescribed with caution, especially to younger alopecia patients.

Hepatitis-related adverse events associated with immune checkpoint inhibitors in cancer patients: an observational, retrospective, pharmacovigilance study using the FAERS database

Background: Immune checkpoint inhibitors (ICIs), including anti-PD-1, anti-PD-L1 and anti-CTLA-4 antibodies, have become a standard treatment for multiple cancer types. However, ICIs can induce immune-related adverse events, with hepatitis-related adverse events (HRAEs) being of particular concern. Our objective is to identify and characterize HRAEs that exhibit a significant association with ICIs using real-world data. Methods: In this observational and retrospective pharmacovigilance study, we extracted real-world adverse events reports from the FDA Adverse Event Reporting System database spanning from the first quarter of 2004 to the first quarter of 2023. We conducted both Frequentist and Bayesian methodologies in the framework of disproportionality analysis, which included the reporting odds ratios (ROR) and information components (IC) to explore the intricate relationship between ICIs and HRAEs. Results: Through disproportionality analysis, we identified three categories of HRAEs as being significantly related with ICIs, including autoimmune hepatitis (634 cases, ROR 19.34 [95% CI 17.80-21.02]; IC025 2.43), immune-mediated hepatitis (546 cases, ROR 217.24 [189.95-248.45]; IC025 4.75), and hepatitis fulminant (80 cases, ROR 4.56 [3.65-5.70]; IC025 0.49). The median age of patients who report ICI-related HRAEs was 63 years (interquartile range [IQR] 53.8-72), with a fatal outcome observed in 24.9% (313/1,260) of these reports. Cases pertaining to skin cancer, lung cancer, and kidney cancer constituted the majority of these occurrences. Patients treated with anti-PD-1 or anti-PD-L1 antibodies exhibited a higher frequency of immune-mediated hepatitis in comparison to those undergoing anti-CTLA-4 monotherapy, with a ROR of 3.59 (95% CI 1.78-6.18). Moreover, the dual ICI therapy demonstrated higher reporting rates of ICI-related HRAEs compared to ICI monotherapy. Conclusion: Our findings confirm that ICI treatment carries a significant risk of severe HRAEs, in particular autoimmune hepatitis, immune-mediated hepatitis, and hepatitis fulminant. Healthcare providers should exercise heightened vigilance regarding these risks when managing patients receiving ICIs.

Safety of marketed biosimilar monoclonal antibody cancer treatments in the US: a disproportionality analysis using the food and drug administration adverse event reporting system (FAERS) database

BACKGROUND

By 31 December 2022, the United States Food and Drug Administration (FDA) has approved 12 biosimilar monoclonal antibody cancer treatments. This study detected disproportionate adverse event (AE) reporting signals and compared safety profile of individual biosimilars to their originator biologics and between each pair of biosimilars.

RESEARCH DESIGN AND METHODS

The FDA Adverse Event Reporting System data (6/1/2018-12/31/2022) were used to identify AE reports for rituximab, bevacizumab, trastuzumab, and their marketed biosimilars. Reporting odds ratios and empirical Bayesian geometric mean were computed to detect reporting disproportionality in serious, death, and specific AEs between studied biologics/biosimilars and all other drugs.

RESULTS

Significant AE reporting signals were identified: 1) death for biological rituximab, pruritus for biosimilar rituximab-pvvr, and infusion-related reactions for biological rituximab and biosimilar rituximab-pvvr (significantly higher ROR for rituximab-pvvr than biological rituximab, p < .0001); 2) death for biological bevacizumab and biosimilar bevacizumab-bvzr (significantly higher ROR for bevacizumab-bvzr than biological bevacizumab, p < .0001), hypertension, platelet count decreased (PCD), and proteinuria for biological bevacizumab and biosimilar bevacizumab-awwb (significantly higher ROR of PCD for bevacizumab-awwb than originator bevacizumab, p = .001); and 3) rash for biosimilar trastuzumab-anns.

CONCLUSIONS

Findings call for large, longitudinal studies to examine causality of certain AEs with rituximab-pvvr and bevacizumab biosimilars.

Exploration of the potential association between GLP-1 receptor agonists and suicidal or self-injurious behaviors: a pharmacovigilance study based on the FDA Adverse Event Reporting System database

BACKGROUND

Establishing whether there is a potential relationship between glucagon-like peptide 1 receptor agonists (GLP-1RAs) and suicidal or self-injurious behaviors (SSIBs) is crucial for public safety. This study investigated the potential association between GLP-1RAs and SSIBs by exploring the FDA Adverse Event Reporting System (FAERS) database.

METHODS

A disproportionality analysis was conducted using post-marketing data from the FAERS repository (2018 Q1 to 2022 Q4). SSIB cases associated with GLP-1RAs were identified and analyzed through disproportionality analysis using the information component. The parametric distribution with a goodness-of-fit test was employed to analyze the time-to-onset, and the Ω shrinkage was used to evaluate the potential effect of co-medication on the occurrence of SSIBs.

RESULTS

In total, 204 cases of SSIBs associated with GLP-1RAs, including semaglutide, liraglutide, dulaglutide, exenatide, and albiglutide, were identified in the FAERS database. Time-of-onset analysis revealed no consistent mechanism for the latency of SSIBs in patients receiving GLP-1RAs. The disproportionality analysis did not indicate an association between GLP-1RAs and SSIBs. Co-medication analysis revealed 81 cases with antidepressants, antipsychotics, and benzodiazepines, which may be proxies of mental health comorbidities.

CONCLUSIONS

We found no signal of disproportionate reporting of an association between GLP-1RA use and SSIBs. Clinicians need to maintain heightened vigilance on patients premedicated with neuropsychotropic drugs. This contributes to the greater acceptance of GLP-1RAs in patients with type 2 diabetes mellitus or obesity.

Drug Repurposing Using FDA Adverse Event Reporting System (FAERS) Database

Drug repurposing is an emerging approach to reassigning existing pre-approved therapies for new indications. The FDA Adverse Event Reporting System (FAERS) is a large database of over 28 million adverse event reports submitted by medical providers, patients, and drug manufacturers and provides extensive drug safety signal data. In this review, four common drug repurposing strategies using FAERS are described, including inverse signal detection for a single disease, drug-drug interactions that mitigate a target ADE, identifying drug-ADE pairs with opposing gene perturbation signatures and identifying drug-drug pairs with congruent gene perturbation signatures. The purpose of this review is to provide an overview of these different approaches using existing successful applications in the literature. With the fast expansion of adverse drug event reports, FAERS-based drug repurposing represents a promising strategy for discovering new uses for existing therapies.

Pharmacological Evaluation of Signals of Disproportionality Reporting Related to Adverse Reactions to Antiepileptic Cannabidiol in VigiBase

Cannabidiol is the first cannabis-derived drug approved for the treatment of Lennox-Gastaut syndrome, Dravet syndrome, and Tuberous Sclerosis Complex. In the current study, we performed a descriptive analysis followed by a disproportionality analysis of potential adverse events caused by CBD extracted from the VigiBase® database. Furthermore, the biological plausibility of the association between CBD and the serotonin 5-HT1A receptor as a possible cause of adverse events was analyzed and discussed. Data were extracted from the VigiBase® database using the VigiLyze® signal detection and signal management tool. Adverse events in VigiBase® reports were coded using MedDRA, version 19 of Preferred Terms (PTs). Data were uploaded into SPSS software and analyzed via a disproportionality analysis. Statistically significant disproportionality signals for CBD were found for "weight decreased" (5.19 (95% CI: 4.54-5.70)), "hypophagia" (3.68 (95% CI: 3.22-5.27)), and "insomnia" (1.6 (95% CI: 1.40-1.83)). Positive IC025 values were found for "weight decreased" (2.2), "hypophagia" (1.3), and "insomnia" (0.5), indicating a surplus of reported cases. CBD's interactions with 5-HT1A serotonin receptors may offer a potential biological explanation for the occurrence of insomnia in patients. It is noteworthy that the risk profiles mentioned in the information for prescribing CBD as an antiepileptic agent by regulatory agencies showed disparities specifically related to the adverse event "insomnia".