Real-world study of adverse events associated with gepant use in migraine treatment based on the VigiAccess and U.S. Food and Drug Administration's adverse event reporting system databases.

Background: This study aimed to investigate the real-world profile of adverse events (AEs) associated with gepant medications in the clinical treatment of migraines by analyzing data collected from the VigiAccess database and the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database. As novel migraine therapies, gepants act by targeting the calcitonin gene-related peptide (CGRP) pathway, demonstrating effective control of migraine attacks and good tolerability. Nonetheless, comprehensive real-world studies on the safety of gepants are still lacking, particularly regarding their safety in large populations, long-term use, and potential adverse reactions in specific groups, which necessitates further empirical research. Leveraging these two international adverse event reporting system databases, we systematically gathered and analyzed reports of AEs related to gepant medications, such as rimegepant. Our focus encompasses but is not limited to severe, new, and rare adverse reactions induced by the drugs, as well as safety issues pertaining to the gastrointestinal, cardiovascular, hepatic, and renal systems. Through descriptive statistical analyses, we assessed the incidence and characteristics of AEs, compared AEs among gepants, and uncovered previously unknown AE information, all with the goal of providing a reference for the selection of clinical treatment regimens and AE monitoring. Methods: By extracting all AE reports concerning "rimegepant", "atogepant", and "ubrogepant" from the VigiAccess and FAERS database since its establishment up to 31 March 2024, a retrospective quantitative analysis was conducted. The reporting odds ratio (ROR) method were used to compare AEs among the three gepants. Results: In the VigiAccess and FAERS databases, 23542 AE reports in total, respectively, were identified as being related to gepant medications. Among gastrointestinal system AEs, rimegepant had the greatest proportion and greatest signal strength; nausea was most severe and had the strongest signal in rimegepant AEs, whereas constipation was most prominent and had the strongest signal in atogepant AEs. In skin and subcutaneous tissue disorders, rash and pruritus were more frequently observed with rimegepant, followed by ubrogepant. Alopecia emerged as a novel AE, being more severe in rimegepant and secondarily in atogepant. Regarding cardiac disorders, the three gepants showed comparable rates of cardiac AEs, yet rimegepant exhibited the strongest AE signal. In musculoskeletal and connective tissue AEs, ubrogepant presented the most positive signals for skeletal muscle AEs. Furthermore, among the rare blood and lymphatic system disorder AEs, rimegepant had the highest number of reports of Raynaud's phenomenon and the strongest signal. The study also revealed that while reports of AEs involving liver diseases were scarce across the three gepants, severe AEs were detected in clinical trials, highlighting the need for continued, enhanced monitoring of liver system AEs through large-scale datasets. Conclusion: Gepant medications exhibit similarities and differences in their safety profiles. Analysis of the two databases indicated the presence of AEs across various systems, including gastrointestinal disorders, skin and subcutaneous tissue diseases, musculoskeletal and connective tissue disorders, organ-specific effects, and liver diseases. However, each drug displays distinct incidences and signal intensities for these AEs. Additionally, the study revealed a rare AE in the form of Raynaud's phenomenon. These findings suggest that during clinical use, individualized medication selection and AE monitoring should be based on the patient's physiological condition and specific characteristics.

Drug-induced erectile dysfunction: a real-world pharmacovigilance study using the FDA adverse event reporting system database.

BACKGROUND: The comprehensive quantitative and comparative risk data of drug-induced erectile dysfunction (ED) are still lacking, and this study aims to supplement this information. RESEARCH DESIGN AND METHODS: We reviewed all the ED reports in the FDA Adverse Event Reporting System (FAERS) database from 2004 to 2023 and summarized a potential ED culprit-drug list and its corresponding reporting frequency. The reporting odd ratio (ROR) method was used to conduct disproportionality analysis. RESULTS: 20,098 ED reports were retrieved from the FAERS database, which recorded 734 different ED culprit-drugs, involving 74 drug classes. Finasteride was the drug with the highest reporting frequency, and urologicals was the drug class with the highest reporting frequency. In disproportionality analysis, 209 drugs with positive signals showed a close relationship with ED occurrence, among which finasteride was the drug with the highest signal strength. Among 209 drugs with positive signals, 27 were compound preparations, and the risk level of compound preparations was usually higher than their single active ingredient. CONCLUSIONS: Our study integrated quantitative and comparative ED risk data of 734 drugs by using the FAERS database, which can provide reference information for regulators, medical personnel, and others involved in drug management and use.

Association between antipsychotics and pulmonary embolism: a pharmacovigilance analysis.

BACKGROUND: Previous studies have documented an increased risk of pulmonary embolism (PE) in patients with schizophrenia taking antipsychotics (APs). However, specific data from real-world studies remain limited. This study aims to investigate the potential relationship between APs and PE. RESEARCH DESIGN AND METHODS: In the Food and Drug Administration Adverse Event Reporting System (FAERS), from the first quarter of 2018 to the first quarter of 2023, all PE cases suspected of being induced by APs were collected for disproportionality analysis, and the reporting odds ratio (ROR) was used to evaluate associations. Mortality, life-threatening events, and hospitalizations were also analyzed for each APs. RESULTS: A total of 1,676 cases of PE related to APs were included. APs were significantly associated with PE (ROR 2.00, 1.91-2.10), including chlorpromazine (n = 41), haloperidol (n = 164), loxapine (n = 37), olanzapine (n = 461), paliperidone (n = 161), quetiapine (n = 526), risperidone (n = 274), aripiprazole (n = 254), and clozapine (n = 234). The median onset time of PE was 29 days. Among all cases, 347 (20.7%) resulted in death, with haloperidol (53.2%) having a higher mortality rate than other APs. CONCLUSIONS: APs may increase the risk of PE in patients with schizophrenia.

Characteristics of eye disorders induced by atypical antipsychotics: a real-world study from 2016 to 2022 based on Food and Drug Administration Adverse Event Reporting System.

Background: Common atypical antipsychotics include risperidone, paliperidone, olanzapine, lurasidone, quetiapine, clozapine, aripiprazole, ziprasidone, asenapine, brexpiprazole, and cariprazine. Previous studies on ocular adverse reactions of antipsychotics were mainly focused on typical antipsychotics. Systematic research on atypical antipsychotics remains limited. Objective: This study aimed to evaluate the potential risks of different atypical antipsychotics causing ocular side effects by mining the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Methods: Extract reports from the FAERS from the first quarter of 2016 to the fourth quarter of 2022 were obtained. Data mining of eye disorders associated with atypical antipsychotics was carried out using The Reporting Odds Ratio (ROR) method and The Medicines and Healthcare Products Regulatory Agency (MHRA) method to determine positive signals. Results: FAERS reports for 9913783 cases were included in these 28 quarters. 64 defined ocular adverse events were classified into 10 categories according to High-Level Group Terms (HLGT). Conclusions: There were differences in the types and severity of ocular-related adverse events associated with atypical antipsychotics. Ocular neuromuscular-related adverse events were found among all 11 atypical antipsychotics. Olanzapine had the highest signal intensity in oculogyric crisis. Aripiprazole had the highest signal strength in blepharospasm. Cariprazine was associated with cataract-related ocular adverse reactions. In terms of the types of adverse events, our study found that aripiprazole was associated with 28 types of ocular adverse events, followed by quetiapine. Clozapine was only associated with two types of ocular adverse events.

A real-world drug safety surveillance study of lenvatinib from the FAERS database.

BACKGROUND: There is a need to determine lenvatinib-associated real-world adverse events (AEs) as its adverse effects may result in its discontinuation. RESEARCH DESIGN AND METHODS: Lenvatinib-associated AEs were analyzed and quantified and risk signals from the first quarter of 2015 to the fourth quarter of 2023 were detected through data mining. Potential targets for lenvatinib-associated cholecystitis, cholangitis, and hepatic encephalopathy were identified by data mining. RESULT: 68 Preferred Terms (PTs) with an important imbalance were kept. Unexpected AEs, such as immune-mediated hepatitis, portal vein thrombosis and adrenal insufficiency were associated with the use of lenvatinib use. Lenvatinib alone was more strongly associated with adrenal insufficiency than lenvatinib and pembrolizumab combination. Hepatic encephalopathy was more strongly correlated with drug use when Lenvatinib was administered to male patients with hepatocellular carcinoma. Most AEs occurred during the first month after treatment, with a median onset time of 41 days. FGFR4, PDGFRA, and KIT (Lenvatinib targets) are potentially linked to cholecystitis, cholangitis, and hepatic encephalopathy. CONCLUSIONS: We identified Lenvatinib-associated AEs and discovered new AEs that will be useful for clinical monitoring and risk assessment.

Data mining and safety analysis of dual orexin receptor antagonists (DORAs): a real-world pharmacovigilance study based on the FAERS database.

Objective: Using the Food and Drug Administration Adverse Event Reporting System (FAERS) database, four signal detection methods were applied to mine adverse drug events (ADEs) related to use of dual orexin receptor antagonists (DORAs) to provide reference for safe clinical use. Research design and Methods: Data collected from Q3rd 2014 to Q4th 2023 were obtained from the FAERS database. According to the preferred terminology (PT) and systematic organ classification (SOC) of MedDRA v.26.0, the reporting odds ratio (ROR), proportional reporting ratio (PRR), multi-item gamma Poisson shrinker (MGPS), and Bayesian confidence propagation neural network (BCPNN) were used to detect ADE signals. Results: A total of 11,857 DORAs-related adverse reactions were detected, reported with suvorexant, lemborexant, and daridorexant as the main suspected drugs was 8717584, and 2556, respectively. A higher proportion of females than males were reported (57.27% vs. 33.04%). The top 20 positive PT signals from three DORAs showed that "sleep paralysis" ranked first. "Brain fog" was stronger following daridorexant but was not detected for the other two drugs, and "sleep sex" and "dyssomnia" were stronger in suvorexant but not in the other two drugs. Additionally, some PTs occurred that were not included in drug instructions, such as "hangover" and "hypnagogic hallucination." Conclusion: In this study, four algorithms (ROR, PRR, BCPNN, and MGPS) were used to mine the safety signals of DORAs. We identified some potential ADE signals that can promote the rational use of DORAs and improve their safety.

Cardiovascular toxicities of selective ret-specific tyrosine kinase inhibitors: a pharmacovigilance study based on the United States Food and Drug Administration Adverse Event Reporting System database.

BACKGROUND: Selective RET-specific tyrosine kinase inhibitors (RET-TKIs) treat RET fusion-positive non-small cell lung cancer (NSCLC), but studies on their cardiovascular toxicities are limited. This study aimed to characterize the cardiovascular toxicities associated with selective RET-TKI in real-world settings. RESEARCH DESIGN AND METHODS: Data from the United States Food and Drug Administration Adverse Event Reporting System database from 1 January 2020 to 30 June 2023, were analyzed. Two disproportionality methods, information component and reporting odds ratio (ROR) were used. RESULTS: Both pralsetinib and selpercatinib showed positive signals for hypertension (pralsetinib: ROR: 5.25, 95% CI: 4.40-6.26; selpercatinib: ROR: 2.68, 95% CI: 1.87-3.82). Additionally, pralsetinib showed a positive signal for ischemic heart disease (ROR: 3.92, 95% CI: 2.94-5.23), and selpercatinib for torsade de pointes/QT prolongation (ROR: 2.65, 95% CI: 1.74-4.04). The median time to onset(TTO) of cardiovascular toxicities was 33 days (IQR: 9-73 days) for pralsetinib and 15 days (IQR: 10-50 days) for selpercatinib. The proportion of deaths, life-threatening events, and hospitalizations due to cardiovascular toxicities were 8.57%, 1.19%, and 31.43%, respectively, for total selective RET-TKI. CONCLUSIONS: Selective RET-TKIs are related to multiple cardiovascular toxicities. Pralsetinib was linked to ischemic heart disease, and selpercatinib to torsade de pointes/QT prolongation and thrombotic events.

Voriconazole-induced central nervous system toxicity: a pharmacovigilance study based on FDA adverse event reporting system (FAERS) database.

BACKGROUND: This study aims to evaluate the relationship between voriconazole (VRC) and central nervous system (CNS) toxicity based on the real world data. RESEARCH DESIGN AND METHODS: The reports of FAERS from January 2004 to March 2022 were included in our study. The CNS toxicity events were identified by using Medical Dictionary for Regulatory Activities terms. Reporting odds ratios corresponding to 95% confidence intervals were employed to quantify the signals of VRC-associated CNS events. RESULTS: The overall RORs (95%CI) for psychiatric disorders, nervous system disorders, and eye disorders were 1.84 (1.70, 2.00), 1.09 (1.01, 1.18), and 3.84 (3.48, 4.23), respectively (p < 0.05). The median time to the CNS events of VRC was 1(IQR 0-5) day. Top six signals were macular opacity, chloropsia, scintillating scotoma, toxic optic neuropathy, corneal bleeding, and dyschromatopsia, all of them grouped as eye disorders. Compared with itraconazole, fluconazole, posaconazole, and isavuconazole, VRC shows significant relationship and higher incidence rate of psychiatric disorders, nervous system disorders, and eye disorders, respectively (p < 0.05). CONCLUSIONS: VRC was significantly associated with the CNS toxicity. Dosing adjustment, model-based individualized treatment project, and the therapeutic drug monitoring-guided individualized medication regime could be good strategies for efficacy improvement and the adverse events of reducing of VRC.

Real-world pharmacovigilance analysis of galsulfase: a study based on the FDA adverse event reporting system (FAERS) database.

Background: Associated with enzyme deficiencies causing glycosaminoglycans (GAGs) accumulation, mucopolysaccharidosis type VI (MPS VI) is lysosomal storage disorder. In the treatment of MPS VI, galsulfase (Naglazyme) is commonly used as an enzyme replacement therapy (ERT). There remains a need for comprehensive real-world data on its safety and associated adverse events (AEs). Objective: An analysis of the FDA Adverse Event Reporting System (FAERS) database will be conducted to identify potential risks and adverse reactions associated with galsulfase in real-life settings. Methods: The FAERS database was used to extract data from Q2 2005 to Q4 2023. A total of 20,281,876 reports were analyzed after duplicate elimination, with 3,195 AE reports related to galsulfase identified. The association between galsulfase and AEs was investigated by utilizing four algorithms: reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS). The analysis focused on the timing of onset, signs of AEs, and clinical significance. Results: Twenty seven organ systems were involved, and significant system organ classes (SOCs) included respiratory, thoracic and mediastinal disorders, and infections and infestations. At the PT level, 72 PTs corresponding to 15 SOCs were identified, with some AEs not previously mentioned in the product label. AEs associated with galsulfase had a median onset time of 1,471 days, with over half of the cases occurred within the first 5 years of treatment initiation. Conclusion: This investigation delivers an exhaustive and indicative assessment of galsulfase's safety profile, grounded in authentic, real-world evidence. The findings emphasis the importance of continuous safety surveillance and the emergence of new AEs. The identification of previously unreported urologic adverse events, such as glomerulonephritis membranous and nephritic syndrome, warrants further investigation. The study emphasizes the need for enhanced pharmacovigilance to ensure patient safety and the effectiveness of galsulfase treatment.

A real-world pharmacovigilance study of FDA adverse event reporting system (FAERS) events for sunitinib.

Background: Sunitinib is approved for the treatment of metastatic renal cell carcinoma (mRCC), imatinib-resistant gastrointestinal stromal tumors (GIST), and advanced pancreatic neuroendocrine tumors (PNET). This study aims to investigate the safety profiles of sunitinib through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: The individual case safety reports (ICSRs) on sunitinib from 2006 Q1 to 2024 Q1 were collected from the ASCII data packages in the Food and Drug Administration Adverse Event Reporting System (FAERS). After standardizing the data, a variety of 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) were employed to identify the potential safety signals of sunitinib-associated AEs. Results: A total of 35,923 ICSRs of sunitinib as the "primary suspected" drug were identified within the reporting period. The search detected 276 disproportionate preferred terms (PTs). The most common AEs, including diarrhea, asthenia, decreased appetite, hypertension, and dysgeusia, were consistent with the drug label and clinical trials. Unexpected significant AEs, such as uveal melanocytic proliferation, salivary gland fistula, yellow skin, eyelash discoloration, scrotal inflammation, were detected. The median onset time of sunitinib-related AEs was 57 days (interquartile range [IQR]16-170 days), with most of the ICSRs developing within the first month (n = 4,582, 39.73%) after sunitinib therapy as initiated. Conclusion: The results of our study were consistent with routine clinical observations, and some unexpected AEs signals were also identified for sunitinib, providing valuable evidence for the safe use of sunitinib in the real-world and contributing to the clinical monitoring and risk identification of sunitinib.

PARP inhibitor-related acute renal failure: a real-world study based on the FDA adverse event reporting system database.

BACKGROUND: Current clinical trial data on PARP inhibitors (PARPis)-related acute renal failure (ARF) are not entirely representative of real-world situations. Therefore, in this study, the US Food and Drug Administration Adverse Event Reporting System (FAERS) was used to evaluate PARPis-related ARF. RESEARCH DESIGN AND METHODS: Data were obtained from 1 January 2015, to 30 September 2023. ARF event reports were analyzed based on four algorithms. The time-to-onset (TTO) and clinical outcomes of PARPis-associated ARF were assessed. RESULTS: The total included cases were 2726. Significant signals were observed for olaparib, niraparib, and rucaparib (reporting odds ratio (ROR): 1.62, 95% confidence interval (CI): 1.49-1.78, 1.25, 95% CI: 1.19-1.32 and 1.59, 95% CI: 1.47-1.72 respectively). The median TTO of ARF onset was 57, 36, and 85 days for olaparib, niraparib, and rucaparib, respectively. The proportion of deaths with olaparib (9.88%) was significantly higher than for niraparib (2.52%) and rucaparib (2.94%) (p < 0.005). The proportion of life-threatening adverse events associated with niraparib (4.89%) was significantly higher than for rucaparib (0.98%) (p < 0.005). CONCLUSIONS: ARF and PARPi were related, with the exception of talazoparib. More emphasis should be given to PARPis-related ARF due to the high proportion of serious AEs and delayed adverse reactions.

Clinical adverse events to dexmedetomidine: a real-world drug safety study based on the FAERS database.

Objective: Adverse events associated with dexmedetomidine were analyzed using data from the FDA's FAERS database, spanning from 2004 to the third quarter of 2023. This analysis serves as a foundation for monitoring dexmedetomidine's safety in clinical applications. Methods: Data on adverse events associated with dexmedetomidine were standardized and analyzed to identify clinical adverse events closely linked to its use. This analysis employed various signal quantification analysis algorithms, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). Results: In the FAERS database, dexmedetomidine was identified as the primary suspect in 1,910 adverse events. Our analysis encompassed 26 organ system levels, from which we selected 346 relevant Preferred Terms (PTs) for further examination. Notably, adverse drug reactions such as diabetes insipidus, abnormal transcranial electrical motor evoked potential monitoring, acute motor axonal neuropathy, and trigeminal cardiac reflex were identified. These reactions are not explicitly mentioned in the drug's specification, indicating the emergence of new signals for adverse drug reactions. Conclusion: Data mining in the FAERS database has elucidated the characteristics of dexmedetomidine-related adverse drug reactions. This analysis enhances our understanding of dexmedetomidine's drug safety, aids in the clinical management of pharmacovigilance studies, and offers valuable insights for refining drug-use protocols.

Assessment of adverse events of the novel cardiovascular drug vericiguat: a real-world pharmacovigilance study based on FAERS.

BACKGROUND: This study aims to analyze the adverse event reports (AERs) to vericiguat using data from the Food and Drug Administration Adverse Event Reporting System (FAERS) and provide evidence for the clinical use. METHODS: AERs due to vericiguat from 2021Q1 to 2024Q1 identified as the primary suspect were screened, with duplicate reports subsequently eliminated. Various quantitative signal detection methods, including reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network, and multi-item gamma poisson shrinker, were then employed for data mining and analysis. Signal strength is represented by the 95% confidence interval, information component (IC), and empirical Bayesian geometric mean (EBGM). RESULTS: A total of 617 vericiguat-related AERs were identified. Strong signals were observed in 21 system organ classes. Furthermore, the most frequently reported preferred terms (PT) was hypotension (n = 86, ROR 25.92, PRR 24.11, IC 4.59, EBGM 24.07), followed by dizziness (n = 52, ROR 6.44, PRR 6.20, IC 2.63, EBGM 6.20), malaise (n = 25, ROR 3.59, PRR 3.54, IC 1.82, EBGM 3.54), blood pressure decreased (n = 23, ROR 20.00, PRR 19.64, IC 4.29, EBGM 19.61), and anemia (n = 21, ROR 6.67, PRR 6.57, IC 2.72, EBGM 6.57). CONCLUSIONS: This study extended the adverse reactions documented in the FDA instruction and provided supplementary evidence regarding the clinical safety of vericiguat.

Hypersensitivity Reactions Induced by Iodinated Contrast Media in Radiological Diagnosis: A Disproportionality Analysis Based on the FAERS Database.

PURPOSE: This study aimed to evaluate the Pharmacovigilance (PV) and severity of hypersensitivity reactions induced by non-ionic Iodinated Contrast Media (ICM) in the radiology diagnosis reported to the United States Food and Drug Administration Adverse Event Reporting System (FAERS). METHODS: We retrospectively reviewed the reports of ICM-induced hypersensitivity reactions submitted to the FAERS database between January 2015 and January 2023 and conducted a disproportionality analysis. The seven most common non-ionic ICM, including iohexol, iopamidol, ioversol, iopromide, iomeprol, iobitridol, and iodixanol, were chiefly analyzed. Our primary endpoint was the PV of non-ionic ICM-induced total hypersensitivity events. STATA 17.0 MP was used for statistical analysis. RESULTS: In total, 35357 reports of adverse reaction events in radiology diagnosis were retrieved from the FAERS database. Among them, 6181 reports were on hypersensitivity reaction events (mean age: 57.1 ± 17.8 years). The hypersensitivity reaction-related PV signal was detected for iohexol, ioversol, iopromide, iomeprol, iobitridol, and iodixanol, but not for iopamidol. The proportion of iomeprol-induced hypersensitivity reactions and the probability of ioversol-induced severe hypersensitivity reactions have been found to be significantly increased. CONCLUSION: The probability and severity of hypersensitivity reaction events in non-ionic ICM are different. Iohexol, ioversol, iopromide, iomeprol, iobitridol, and iodixanol have higher risks compared to iopamidol. In addition, the constituent ratio of hypersensitivity reactions induced by iomeprol is significantly increased, and the associated probability induced by ioversol is significantly increased.

Neuronal toxicity of monoclonal antibodies (mAbs): an analysis of post-marketing reports from FDA Adverse Event Reporting System (FAERS) safety database.

BACKGROUND: Monoclonal antibodies (mAbs) are pivotal in treating various diseases, including cancers and autoimmune disorders. Despite their therapeutic benefits, mAb therapy has been associated with neurological toxicity. OBJECTIVES: This study aimed to assess the occurrence of neuronal toxicity associated with mAbs, utilizing data from the FDA Adverse Event Reporting System (FAERS) safety database. The study also sought to delineate the medical characteristics of the reported cases. METHODS: A comprehensive analysis of neurological adverse events reported in the FAERS database was conducted, employing computational methodologies such as proportional relative risk (PRR), information component (IC025), and chi-square (χ2). Individual case safety reports (ICSRs) pertaining to neurological disorders linked to mAbs from the date of first global marketing authorization until June 30, 2023, were meticulously examined. RESULTS: The FAERS safety database contains 79,022 ICSRs linking mAbs to nervous system disorders. Rituximab, bevacizumab, denosumab, nivolumab, and trastuzumab were frequently cited. Reported adverse events include headache, peripheral neuropathy, dizziness, and cerebrovascular accident. Most ICSRs (85.81%) were serious, mainly affecting females (57.04%) with a 14.09% fatality rate. Panitumumab, atezolizumab, bevacizumab, and trastuzumab showed strong drug-event associations. Signal disproportionate reporting (SDR) analysis flagged myasthenia gravis, peripheral neuropathy, and neurotoxicity across multiple mAbs, suggesting potential signals. CONCLUSIONS: Interdisciplinary collaboration between oncologists and neurologists is crucial for safe mAb use. Our study enhances understanding of mAb neurological safety. Disproportionality signal analysis provides valuable evidence for risk mitigation.

A Real-World Safety Profile in Neurological, Skin, and Sexual Disorders of Anti-Seizure Medications Using the Pharmacovigilance Database of the Korea Adverse Event Reporting System (KAERS).

(1) Background: The utilization of high-quality evidence regarding the safety of anti-seizure medications (ASMs) is constrained by the absence of standardized reporting. This study aims to examine the safety profile of ASMs using real-world data. (2) Methods: The data were collected from the Korea Adverse Event Reporting System Database (KAERS-DB) between 2012 and 2021. In total, 46,963 adverse drug reaction (ADR)-drug pairs were analyzed. (3) Results: At the system organ class level, the most frequently reported classes for sodium channel blockers (SCBs) were skin (37.9%), neurological (16.7%), and psychiatric disorders (9.7%). For non-SCBs, these were neurological (31.2%), gastrointestinal (22.0%), and psychiatric disorders (18.2%). The most common ADRs induced by SCBs were rash (17.8%), pruritus (8.2%), and dizziness (6.7%). Non-SCBs were associated with dizziness (23.7%), somnolence (13.0%), and nausea (6.3%). Rash, pruritus, and urticaria occurred, on average, two days later with SCBs compared to non-SCBs. Sexual/reproductive disorders were reported at a frequency of 0.23%. SCBs were reported as the cause more frequently than non-SCBs (59.8% vs. 40.2%, Fisher's exact test, p < 0.0001). (4) Conclusions: Based on real-world data, the safety profiles of ASMs were identified. The ADRs induced by SCBs exhibited different patterns when compared to those induced by non-SCBs.

A disproportionality analysis of CDK4/6 inhibitors in the FDA Adverse Event Reporting System (FAERS).

OBJECTIVE: The FDA Adverse Event Reporting System (FAERS) was used to mine and evaluate adverse events (AEs) associated with cyclin-dependent kinase (CDK) 4/6 inhibitors, thereby providing a reference for clinical rational drug use. METHODS: AE data related to CDK4/6 inhibitors from the first quarter of 2015 to the first quarter of 2023 were acquired from FAERS, while the signal mining was processed using the reporting odds ratio (ROR) method and Bayesian confidence propagation neural network (BCPNN) method. RESULTS: The number of AE reports for CDK4/6 inhibitors was, respectively, 132,494 for palbociclib, 56,151 for ribociclib, and 7,014 for abemaciclib. The corresponding numbers of AE signals were 319, 517, and 59, with the number of involved System Organ Class (SOC) being 23, 23, and 15, mainly involving blood and lymphatic system disorders, respiratory, thoracic and mediastinal disorders, hepatobiliary disorders, skin and subcutaneous tissue disorders, etc. CONCLUSION: CDK4/6 inhibitors could lead to pulmonary toxicity, myelosuppression, skin reactions, etc. Special attention should be paid to abemaciclib for interstitial lung disease (ILD), erythema multiforme, and thrombosis risk; ribociclib for cardiac toxicity, hepatotoxicity, and musculoskeletal toxicity; palbociclib for neurocognitive impairment and osteonecrosis of the jaw.

Characterizing immune checkpoint inhibitor-related cutaneous adverse reactions: A comprehensive analysis of FDA adverse event reporting system (FAERS) database.

Background: The increasing adoption of immune checkpoint inhibitors (ICIs) in clinical settings highlights their efficacy in treating diverse conditions, while also emphasizing the potential for common cutaneous adverse reactions to arise. The aim of this study is to investigate a multitude of impacting factors and determinants among patients presenting with ICI-associated cutaneous adverse reactions. Methods: We conducted a comprehensive analysis of ICI-associated cutaneous adverse reactions using data from the FAERS. Our study spans from January 1, 2015, to March 31, 2023, focusing on ICIs, including anti-PD-1, anti-PD-L1, and anti-CTLA-4 agents. Findings: Among the 334,293 reported irAR, 17,431 were identified as cutaneous adverse reactions (ARs). Predominant cutaneous ARs included rash (21.01 %), pruritus (11.22 %), and pemphigoid (3.90 %). Stevens-Johnson syndrome emerged as the most reported severe cutaneous adverse reaction (SCAR) (2.08 %). Anti-CTLA-4 agents exhibited higher cutaneous toxicity compared to anti-PD-1 and anti-PD-L1 agents. Anti-PD-1 agents demonstrated an elevated mortality rate. The combined use of ICIs with chemotherapy amplified the risk of SCAR and mortality. Targeted therapy was a risk factor for cutaneous ARs but was associated with reduced mortality. The median onset day for cutaneous toxicity was 21 days, while for SCAR, it was 23 days. Weight and age were identified as predictors of SCAR, cutaneous toxicity, and mortality. Skin cancer increased skin toxicity, while lung cancer heightened SCAR formation. The number of administered ICIs positively correlated with SCAR, skin toxicity, and mortality. Interpretation: This study highlights the significance of early identification and effective management of cutaneous toxicities, along with personalized follow-up care, as essential strategies for minimizing risks and preventing treatment disruptions.

The report of AAPM task group 288: Recommendations for guiding radiotherapy event narratives.

Incident reporting and learning systems provide an opportunity to identify systemic vulnerabilities that contribute to incidents and potentially degrade quality. The narrative of an incident is intended to provide a clear, easy to understand description of an incident. Unclear, incomplete or poorly organized narratives compromise the ability to learn from them. This report provides guidance for drafting effective narratives, with particular attention to the use of narratives in incident reporting and learning systems (IRLS). Examples are given that compare effective and less than effective narratives. This report is mostly directed to organizations that maintain IRLS, but also may be helpful for individuals who desire to write a useful narrative for entry into such a system. Recommendations include the following: (1) Systems should allow a one- or two-sentence, free-text synopsis of an incident without guessing at causes; (2) Information included should form a sequence of events with chronology; and (3) Reporting and learning systems should consider using the headings suggested to guide the reporter through the narrative: (a) incident occurrences and actions by role; (b) prior circumstances and actions; (c) method by which the incident was identified; (d) equipment related details if relevant; (e) recovery actions by role; (f) relevant time span between responses; (g) and how individuals affected during or immediately after incident. When possible and appropriate, supplementary information including relevant data elements should be included using numerical scales or drop-down choices outside of the narrative. Information that should not be included in the narrative includes: (a) patient health information (PHI); (b) conjecture or blame; (c) jargon abbreviations or details without specifying their significance; (d) causal analysis.

Assessment of adverse events related to anti-interleukin-6 receptor monoclonal antibodies using the FDA adverse event reporting system:a real-world pharmacovigilance study.

BACKGROUND: Interleukin-6 (IL-6) monoclonal antibodies are commonly acknowledged for their efficacy in managing coronavirus disease 2019 (COVID-19); however, there remains a paucity of comprehensive studies on their potential adverse effects. RESEARCH DESIGN AND METHODS: This is a retrospective pharmacovigilance investigation. We employed FAERS using OpenVigil FDA to detect adverse reactions linked to the interleukin-6 antagonist tocilizumab and sarilumab. RESULTS: Completely 17,037,364 reports were collected from the FAERS database, with 67,976 reports identified as 'primary suspected (PS)' adverse events (AEs) for tocilizumab, and 12,560 reports for sarilumab. AEs induced by both drugs involved 27 organ systems. 109 significant disproportionality preferred terms (PTs) of tocilizumab and 158 significant disproportionality PTs meeting the criteria of sarilumab across all four algorithms were retained simultaneously. A higher incidence of adverse reactions occurred in females aged 45-64 years, with a higher rate of subsequent hospitalization. Both drugs exhibited adverse reactions consistent with previously reported side effects, such as leukopenia, elevated liver enzymes, and hypercholesterolemia. Additionally, there was a strong correlation with gastrointestinal issues. Unexpected significant adverse events, including diabetes, fluctuations in blood pressure, drug ineffectiveness, malignancies, and disorders of the nervous system, were also observed. Gender and age differences existed in AEs signals related to IL-6RAs. CONCLUSION: Our study identified significant new AE signals for interleukin-6 receptor antagonists, potentially supporting clinical monitoring and risk identification for this class of drugs.