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Acute Generalized Exanthematous Pustulosis (AGEP) is a rare but potentially life-threatening cutaneous adverse drug reaction. Due to its poor clinical outcomes and unclear pathogenesis, this study aimed to systematically evaluate the drug-related risk factors for AGEP using data from the FDA Adverse Event Reporting System (FAERS). This real-world, retrospective pharmacovigilance study analyzed all AGEP-related reports submitted to the FAERS database between Q1 2004 and Q4 2024. Disproportionality analysis was performed using reporting odds ratios (RORs), with Bonferroni-adjusted p-values to identify high-risk drugs. Drugs identified by univariate analysis were further evaluated through LASSO regression and multivariable logistic regression to determine risk factors associated with AGEP. A total of 6,880 AGEP cases were identified, with a predominance of female patients (54.5%) and a median age of 59 years. Disproportionality analysis revealed 148 drugs with a significant signal for AGEP, mainly including antibiotics, nonsteroidal anti-inflammatory drugs (NSAIDs), and antivirals. LASSO and multivariate logistic regression identified 17 drugs as risk factors for AGEP, including ceftriaxone (OR = 49.87), pantoprazole (OR = 31.39), and hydroxychloroquine (OR = 28.38). The model showed moderate predictive accuracy with an AUC of 0.69. This study identified multiple drug classes significantly associated with AGEP using FAERS-based adverse event data. The findings highlight a higher susceptibility in middle-aged and younger populations and underscore the importance of enhanced monitoring for high-risk medications. Given the inherent limitations of spontaneous reporting systems, further prospective studies are needed to confirm these associations and explore underlying mechanisms.

[This corrects the article DOI: 10.3389/fphar.2025.1561937.].

[This corrects the article DOI: 10.3389/fphar.2025.1488469.].

[This corrects the article DOI: 10.3389/fphar.2024.1440907.].

[This corrects the article DOI: 10.3389/fphar.2024.1255918.].

Background: Olaparib, the world's first poly ADP-ribose polymerase (PARP) inhibitor (PARPi), has been approved for treatment of ovarian cancer, breast cancer, pancreatic cancer and prostate cancer by FDA. The current study was to assess olaparib-related adverse events (AEs) of real-world through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN) and the multi-item gamma Poisson shrinker (MGPS) algorithms were employed to quantify the signals of olaparib-associated AEs. Results: Out of 8,450,009 reports collected from the FAERS database, 6402 reports of olaparib-associated AEs were identified. A total of 118 significant disproportionality preferred terms (PTs) conforming to the four algorithms simultaneously were retained. The most common AEs included anemia, thrombocytopenia, nausea, decreased appetite, blood creatinine increased and dermatomyositis, which were corresponding to those reported in the specification and clinical trials. Unexpected significant AEs as interstitial lung disease, Pneumocystis jirovecii pneumonia, folate deficiency, renal impairment and intestinal obstruction might also occur. The median onset time of olaparib-related AEs was 61 days (interquartile range [IQR] 14-182 days), and most of the cases occurred within the first 1 month after olaparib initiation. Conclusion: Results of our study were consistent with clinical observations, and we also found potential new and unexpected AEs signals for olaparib, suggesting prospective clinical studies were needed to confirm these results and illustrate their relationship. Our results could provide valuable evidence for further safety studies of olaparib. Keywords: olaparib, PARP inhibitor, pharmacovigilance, data mining, FAERS

Background: Immune checkpoint inhibitors (ICIs) revolutionize cancer therapy but frequently cause immune‐related adverse events (irAEs), with autoimmune skin diseases (ASDs) being significant toxicities requiring careful management. Objective: This study explores the association between ICIs and 10 common ASDs using the FAERS database, aiming to identify risk profiles, time‐to‐onset patterns, and clinical implications. Methods: A retrospective pharmacovigilance analysis of FAERS data (2011Q1–2024Q4) was conducted, focusing on reports involving seven ICIs. Disproportionality algorithms (ROR, PRR, BCPNN, and MGPS) and statistical methods, including Kaplan–Meier and Weibull models, were employed to evaluate ASD risk and onset patterns. Results: Among 1670 cases, bullous pemphigoid (BP) showed the strongest association, particularly with PD‐1/PD‐L1 inhibitors, and other prominent ASDs, including vitiligo, psoriasiform dermatitis, lichen planus, and dermatomyositis. Scleroderma, Henoch–Schönlein purpura, pemphigus, alopecia areata, and systemic lupus erythematosus exhibited limited or inconsistent signals across different ICIs. The median time‐to‐onset was 143 days, with early onset linked to ipilimumab and atezolizumab. Reports predominantly involved males (62.8%) and patients ≥ 65 years old (51.7%), with the United States and Japan contributing most cases. Conclusions: BP, vitiligo, psoriasiform dermatitis, lichen planus, and dermatomyositis are key irAEs of ICIs, requiring vigilant monitoring and individualized management strategies. Limitations include biases in spontaneous reporting and underrepresentation of newer ICIs.

Background: GLP-1 receptor agonists (GLP-1RA) have demonstrated cardiovascular benefits, but the relationship between GLP-1RA and tumors is controversial. Recently, clinical trials reported higher rates of malignancy with semaglutide than control group. As real-world evidence of GLP-1RA-associated tumor risk is very limited, we explored the association of GLP-1RA and all types of neoplasms by mining the FDA Adverse Event Reporting System (FAERS) database. Methods: The FAERS data from the first quarter (Q1) of 2004 to the second quarter (Q2) of 2020 in the AERSMine were extracted to conduct disproportionality analysis, which was used by the proportional reporting ratio (PRR) to assess the relationship between GLP-1RA and all types of neoplasms. Then, the details of disproportionate GLP-1RA-associated tumor cases from Q1 2004 to Q2 2021 in the FAERS Public Dashboard were collected to analyze demographic characteristics. Results: A total of 8718 GLP-1RA-associated tumors were reported. Excluding cases with pre-existing tumors, other glucose-lowering drugs, and other GLP-1RA-related adverse events, diabetes cases with GLP-1RA as the main suspected drug were selected. GLP-1RA did not cause a disproportionate increase in all tumor cases (PRR 0.83) at the SOC level, and there was also no increase in most types of tumors associated with GLP-1RA at the HLGT/HLT levels. Significant signals were detected between GLP-1RA and certain tumors, including thyroid cancers [medullary thyroid cancer (PRR 27.43) and papillary thyroid cancer (PRR 8.68)], pancreatic neoplasms malignant (PRR 9.86), and islet cell neoplasms and APUDoma NEC (PRR 2.86). The combination of GLP-1RA with dipeptidyl-peptidase IV inhibitors (DPP4i) perhaps caused the increased reporting rate in some tumors. Conclusion: Our study provided new real-world evidence for oncology safety information of GLP-1RA. Given the wide use of GLP-1RA, clinicians should be well informed about important potential adverse events. Our pharmacovigilance analysis also prompted clinicians to raise concerns about potential tumor-related adverse effects when combining GLP-1RA with DPP4i.

Recent reports of individuals experiencing suicidal and/or self-injurious behaviors while using liraglutide and semaglutide have heightened the concerns regarding neuropsychiatric safety of Glucagon-like peptide-1 agonists (GLP-1RAs). As real-world evidence is very limited, we explored the association between GLP-1RA and suicide/self-injury by mining the FDA Adverse Event Reporting System (FAERS) database. The FAERS database was queried from 2005 Q2 to 2023 Q2. The Reporting Odds Ratio (ROR) and Empirical Bayes Geometric Mean (EBGM) were used to conduct the disproportionality analysis. A total of 534 GLP-1RA-associated suicide/self-injury cases were reported in the FAERS during the study period. GLP-1RA did not cause a disproportionate increase in overall suicidal and self-injurious cases (ROR: 0.16, 95%CI 0.15-0.18, P < 0.001; EBGM05: 0.15). Stratified analyses found no safety signal of suicide/injury for GLP-1RA in both females and males. The ROR for suicide/self-injury with GLP-1RA was slightly elevated (ROR: 2.50, 95%CI 1.02-6.13, P = 0.05) in children, while the EBGM05 was < 2 in this population. No significant signal value was observed in other age groups. No over-reporting of suicide/self-injury was identified for GLP-1RA before or after the COVID-19 pandemic outbreak. The cases of suicide or self-injury reported to FAERS do not indicate any overall safety signal attributable to GLP-1RA at this time. Subgroup analysis revealed a marginal elevation of ROR for suicide and self-injury with GLP-1RA in children, but no safety signal was detected by EBGM05 in this population. Further large-scale prospective investigations are still warranted to further confirm this finding.