Empirical Bayes Geometric Mean Research Articles

Exploring adverse events of Vilazodone: evidence from the FAERS database

ObjectiveThis study aims to conduct an exhaustive evaluation of Vilazodone's safety in clinical application and to unearth the potential adverse event (AE) risks associated with its utilization based on FDA Adverse Event Reporting System (FAERS) database.MethodsThis research employed data spanning from the first quarter of 2011 to the third quarter of 2023 from the FAERS database. Various signal detection methodologies, including the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM), were utilized to ascertain the correlation between Vilazodone and specific AEs.ResultsThe study compiled a total of 17,439,268 reports of drug AEs, out of which 5,375 were related to Vilazodone. Through signal mining, 125 Preferred Terms (PTs) encompassing 27 System Organ Classes (SOCs) were identified. The findings indicated a higher prevalence among females and patients within the 45 to 65 age bracket. The principal categories of AEs included Psychiatric disorders, Nervous system disorders, and Gastrointestinal disorders, with prevalent incidents of Diarrhoea, Nausea, and Insomnia. Moreover, the study identified robust signals of novel potential AEs, notably in areas such as sleep disturbances (Sleep paralysis, Hypnagogic hallucination, Rapid eye movements sleep abnormal, Sleep terror, Terminal insomnia, Tachyphrenia), sexual dysfunctions (Female orgasmic disorder, Orgasm abnormal, Disturbance in sexual arousal, Spontaneous penile erection, Anorgasmia, Sexual dysfunction, Ejaculation delayed), and other symptoms and injuries (Electric shock sensation, Violence-related symptom, Gun shot wound).ConclusionAlthough Vilazodone presents a positive prospect in the management of MDD, the discovery of AEs linked to its use, particularly the newly identified potential risks such as sleep and sexual dysfunctions, necessitates heightened vigilance among clinicians.

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

ABSTRACT 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.

Unveiling potential adverse events associated with escitalopram oxalate: A real-world analysis based FDA adverse event reporting system database.

The study aimed to conduct a multidimensional evaluation of potential adverse events (AEs) of escitalopram oxalate based on the FDA adverse event reporting system (FAERS) database. This study utilized the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and multi-item gamma-poisson shrinker (MGPS) to mine and analyze data from the FAERS database from the first quarter of 2004 to the second quarter of 2023. There was a total of 19,854 AE reports related to escitalopram oxalate, extracting 625 preferred terms (PTs), and covering 27 system organ classes (SOCs). The results showed that the number of reports by females was significantly higher than males, accounting for 57.68%. The reporting number was higher in 2018 and 2019, accounting for 9.50% and 10.18% of the total reports, respectively. The main reporters were consumers and other health professionals, accounting for 26.99% and 26.75% respectively. The majority of the reports were primarily from the United States. Newly emerging AE signals such as intentional overdose (n = 691, ROR 8.51, PRR 8.45, IC 3.05, Empirical Bayesian Geometric Mean (EBGM) 8.35), suicide attempt (n = 665, ROR 8.58, PRR 8.52, IC 3.06, EBGM 8.42), serum serotonin (n = 5, ROR 1044.78, PRR 1044.71, IC 2.56, EBGM 392.39), anti-actin antibody positive (n = 5, ROR 626.87, PRR 626.83, IC 2.56, EBGM 313.91), among others, were not mentioned in the drug's label. While escitalopram oxalate has clear benefits in the treatment of depression and other mental health disorders, the presence of AEs also suggests risks associated with its use. Particularly concerning are risks of suicide and changes in serum serotonin levels.

Post-marketing safety concerns of sotorasib: A disproportionality analysis based on FDA adverse event reporting system

BackgroundSotorasib has been approved for the treatment of adult patients with KRAS G12C-mutated locally advanced or metastatic non-small cell lung cancer (NSCLC). Due to the limitations of clinical trials, potential adverse events (AEs) and long-term safety issues cannot be detected. The presented study aimed to evaluate sotorasib-associated AEs using the FDA Adverse Event Reporting System (FAERS) database. MethodsPost-marketing AE reports of sotorasib in the database were collected for analysis. Disproportionality analyses, including the reporting odds ratio (ROR), proportional reporting ratio (PRR), information component (IC) and empirical bayes geometric mean (EBGM) algorithms, were performed to mine the signals of sotorasib-associated AEs. The median duration, quartiles and the Weibull shape parameter (WSP) test were used to assess the onset time data. ResultsThe database contained 1538 cases of sotorasib as primary suspect (PS), with 27 signals detected, scattering in 5 SOCs. The SOC of hepatobiliary disorders (182, ROR 4.48, PRR 4.07, IC 2.02, EBGM 4.07) met the four methodological thresholds. The median onset time of sotorasib-associated AEs was 42 days (interquartile range [IQR] 14–86.75 days). Different SOCs had different types of risk over time. ConclusionAfter obtaining marketing authorization, the study identified all potentially relevant adverse event (AE) signals expected to have a reporting frequency higher than anticipated and characterized them during sotorasib treatment.

Mining and analysis of security alert signals of valbenazine based on the Food and Drug Administration Adverse Event Reporting System database.

Valbenazine is used for tardive movement disorders in adults. Current studies on its safety are mostly from clinical trials and small case reports, limiting information on rare adverse reactions. This study investigated valbenazine-related adverse event (AE) risk signals using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database. Valbenazine AEs data were collected from the FAERS database from 2017 Q2 to 2023 Q1, employing methods like reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network, and empirical Bayesian geometric mean. After data cleaning and drug screening, there were 20,837 AEs primarily suspecting valbenazine, involving 26 system organ classes and 125 AEs related to valbenazine at the preferred terms level. AEs related to valbenazine were mainly concentrated in nervous system disorders, general disorders and administration site conditions, and psychiatric disorders. Eye disorders and gastrointestinal disorders are new AEs not labeled in the valbenazine instructions. In addition, some new potential AE signals were found, such as Tardive dyskinesia and eyelid function disorder. The common AEs of valbenazine in the real world are consistent with the instructions, but there are some newly discovered suspicious AEs.

Blind Spots in Therapy: Unveiling Drug-Induced Angle-Closure Glaucoma Through a National Analysis

To identify and quantify medications causing angle-closure glaucoma through the FDA Federal Adverse Event Reporting System (FAERS). National, retrospective database analysis. 11,737,133 total adverse event reports from the FDA Federal Adverse Event Reporting System (FAERS) database 2004-2022Q3, which included 1,629 reports of angle-closure glaucoma. Drugs associated with reports of angle-closure glaucoma were identified in FAERS. To ascertain if these reports yielded statistically significant signals, we used the proportional reporting ratio (PRR), reporting odds ratio (ROR), empirical Bayes geometric mean (EBGM), and information component (IC) as a part of a disproportionality analysis. We considered a signal to be detected when all four disproportionality analysis metrics were positive. We identified a total of 1,629 adverse event reports linked to 611 suspected drugs over the course of 20 years (2004-2023Q3). Frequently reported drugs included topiramate (520 reports) and citalopram (69 reports), amongst many others. 18 medications yielded a positive signal, including lesser-known medications like olanzapine, phentermine, and ranibizumab. Tropicamide exhibited the most robust statistical significance (n=18; PRR: 164.263; ROR (95% CI): 167.95 (104.994-268.655); EBGM (EBGM05): 162.421 (109.5); IC (IC05): 7.344 (4.591)), while acetazolamide was the second strongest (n=51; PRR: 113.088; ROR 95% CI: 114.782 (86.665-152.021); EBGM (EBGM05): 109.506 (86.501); IC (IC05): 6.775 (5.115)). Drug-induced glaucoma included both well-known medications such as topiramate as well as lesser-known medications such as olanzapine, phentermine, and ranibizumab. Clinician awareness of these findings is important.

Signal mining and risk analysis of Alprazolam adverse events based on the FAERS database

This study aims to evaluate the safety of Alprazolam by analyzing the FAERS database, provide data analysis for monitoring adverse drug reactions. This research encompasses adverse event (AE) reports related to Alprazolam from the first quarter of 2004 to the second quarter of 2023. Four signal mining and analysis methods were utilized, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). Further exploration was conducted regarding patient characteristics and types of AEs. A total of 23,575 AE reports in which Alprazolam was the primary suspect drug were collected, identifying 347 Preferred Term (PT) signals and 27 System Organ Classes (SOCs). The number of AE reports increased annually, especially in 2015, 2018, 2019, and 2020. The main affected groups were females and the age range of 18 to 45. Psychiatric disorders, Nervous system disorders, and Gastrointestinal disorders were the most common the organ system in which the AEs occurred. There is a certain risk of drug abuse and suicide with Alprazolam. Most notably, several AEs not recorded in the Alprazolam leaflet appeared among the top 30 PTs in signal strength, including but not limited to Benzodiazepine drug level abnormal, Acquired amegakaryocytic thrombocytopenia, Cutaneous T-cell dyscrasia, and Coronary No-reflow Phenomenon. For the first time, AEs related to the cardiovascular system and platelet function were unveiled. The severe AE reports that resulted in "hospitalization" and "death" accounted for 30.96% and 21.86%. This study highlights the risks of suicide and misuse of Alprazolam. Other potential severe or fatal AEs, such as those related to the cardiovascular system, platelet function, and others, require further research to determine their precise mechanisms and risk factors.

A real-world disproportionality analysis of Everolimus: data mining of the public version of FDA adverse event reporting system.

Background: Everolimus is an inhibitor of the mammalian target of rapamycin and is used to treat various tumors. The presented study aimed to evaluate the Everolimus-associated adverse events (AEs) through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: The AE records were selected by searching the FDA Adverse Event Reporting System database from the first quarter of 2009 to the first quarter of 2022. Potential adverse event signals were mined using the disproportionality analysis, including reporting odds ratio the proportional reporting ratio the Bayesian confidence propagation neural network and the empirical Bayes geometric mean and MedDRA was used to systematically classify the results. Results: A total of 24,575 AE reports of Everolimus were obtained using data from the FAERS database, and Everolimus-induced AEs occurrence targeted 24 system organ classes after conforming to the four algorithms simultaneously. The common significant SOCs were identified, included benign, malignant and unspecified neoplasms, reproductive system and breast disorders, etc. The significant AEs were then mapped to preferred terms such as stomatitis, pneumonitis and impaired insulin secretion, which have emerged in the study usually reported in patients with Everolimus. Of note, unexpected significant AEs, including biliary ischaemia, angiofibroma, and tuberous sclerosis complex were uncovered in the label. Conclusion: This study provided novel insights into the monitoring, surveillance, and management of adverse drug reaction associated with Everolimus. The outcome of serious adverse events and the corresponding detection signals, as well as the unexpected significant adverse events signals are worthy of attention in order to improving clinical medication safety during treatment of Everolimus.

A real-world pharmacovigilance study investigating the toxicities of histone deacetylase inhibitors.

Histone deacetylase (HDAC) inhibitors are emerging as promising treatments for hematological malignancies, with potential applications extending to solid tumors in the future. Given their wide-ranging biological effects, there is a pressing need for a thorough understanding of the toxicities linked to HDAC inhibition. In this study, a pharmacovigilance analysis was conducted using the FDA Adverse Event Reporting System database. Suspected adverse events linked to HDAC inhibitors were detected through various statistical methodologies, including reporting odds ratio, proportional reporting ratio, information component, and Empirical Bayes Geometric Mean. Our study findings have illuminated that, among the total reported cases examined, gastrointestinal disorders accounted for 13% patients of the cohort, while lymphatic system disorders comprised 8% cases of the cohort, all of which manifested as adverse events induced by HDAC inhibitors. Importantly, the usage of HDAC inhibitors was found to be associated with incidents of atrial fibrillation, heart failure, respiratory failure, hepatic dysfunction, and acute kidney injury. Romidepsin and belinostat demonstrated more pronounced signals of adverse events compared to panobinostat and vorinostat, emphasizing the need for vigilant monitoring of adverse events in this particular population. Furthermore, atrial fibrillation (clinical priority score of 7 points) emerged as the paramount medical event warranting utmost clinical attention. Eventually, multiple adverse events were observe to emerge within the initial and second months following the initiation of treatment. Vigilant monitoring and supportive care strategies are critical in addressing the toxicities associated with HDAC inhibitors, particularly those concerning cardiotoxicity, respiratory toxicity, renal toxicity, and hepatotoxicity.

Hepatotoxicity of newer antiseizure medications in children: an overview and disproportionality analysis of VigiBase

ABSTRACT Background We aimed to characterize newer antiseizure medications (ASMs)-induced hepatotoxicity in children and identify signals of disproportionate reporting of hepatotoxicity-related adverse drug events (ADEs). Research Design and Methods Case reports reported to VigiBase were accessed using Empirica™ Signal software. To summarize characteristics of the retrieved cases, descriptive statistics were used. A disproportionality analysis was conducted using the Multi-item Gamma Poisson Shrinker algorithm, which calculates Empirical Bayesian Geometric Mean value and its lower and upper 95% confidence limits (EB05 and EB95, respectively). EB05 > 2, N > 0 was considered a signal. Results Based on 870 analyzed cases, a higher proportion of cases was reported in girls than in boys and in patients aged 2–11 years than in other age groups. Most cases were serious. In 25 cases, hepatotoxicity resulted in death. A high proportion of patients (n = 275, 31.61%) experienced hypersensitivity reactions, mostly due to lamotrigine. The disproportionality analysis yielded 17 signals concerning felbamate, lamotrigine, levetiracetam, oxcarbazepine, stiripentol, and topiramate. Four signals were for severe liver injury and concerned felbamate, lamotrigine, levetiracetam, and topiramate. Gender-biased reporting frequency was detected for four ASM-ADE combinations. Conclusion Our results should serve to raise clinicians’ awareness about the potential association between several newer ASMs and drug-induced liver injury in children.

Acute Kidney Injury in Different Anticoagulation Strategies: A Large-Scale Pharmacoepidemiologic Study Using Real-World Data.

Acute kidney injury (AKI) following anticoagulant application has received growing attention as a significant emerging complication of anticoagulation. Nevertheless, there remains a lack of real-world studies to compare the incidence, clinical features, and prognosis of AKI across different anticoagulant regimens. Disproportionality analysis and Bayesian analysis were used to identify suspected AKI cases after different anticoagulant use within the Food and Drug Administration's Adverse Event Reporting System from January 2004 to March 2023. The time to onset, fatality, and hospitalization rates of anticoagulant-associated AKI were also investigated. We identified 9313 anticoagulant-associated AKIs, which appeared to influence mostly patients over 65 years old (65.37%). Lepirudin displayed a stronger AKI association than others, based on the highest reporting odds ratio (ROR = 6.66, 95% CI = 3.97-11.18), proportional reporting ratio (PRR = 6.08, χ2 = 69.12), and empirical Bayes geometric mean (EBGM = 6.08, the lower 90% one-sided CI = 3.95). Warfarin showed the slightest association with AKI in oral anticoagulants, lower than any direct oral anticoagulants excluding apixaban. Edoxaban exhibited the highest potential renal risk among direct oral anticoagulants, with an ROR of 3.32 (95% CI = 2.95-3.72). The median time to AKI onset was 36 (IQR 7-205) days following the initiation of anticoagulation therapy, and most AKI cases occurred within the first month. Particular attention should be directed toward monitoring renal function in individuals receiving anticoagulants, including warfarin and direct oral anticoagulants, as well as other anticoagulant agents. This diligence is particularly imperative within the first month after anticoagulant administration for individuals with a tendency for AKI.

Cardiac toxicity of brentuximab vedotin: a real-word disproportionality analysis of the FDA Adverse Event Reporting System (FAERS) database.

Brentuximab vedotin (BV) has obtained approval for the therapeutic management of classical Hodgkin lymphoma as well as systemic anaplastic large cell lymphoma. Given the inherent constraints of conventional clinical trials, the correlation between BV and cardiac adverse events (AEs) remains enigmatic. The objective of this investigation is to comprehensively assess cardiac AEs attributed to BV by employing advanced data mining techniques, utilizing the FDA Adverse Event Reporting System (FAERS). The indices for the assessment of disproportionality encompass the reporting odds ratio (ROR), the proportional reporting ratio, the information component, and the empirical Bayesian geometric mean. Employing these sophisticated metrics, we gauged the extent of disproportionate occurrences. The dataset was sourced from the FAERS from the first quarter of 2012 to first quarter of 2023, facilitating a comprehensive analysis of the potential correlation between BV and cardiac AEs. This scrutiny encompassed a comparative analysis of both cardiac and non-cardiac AEs. A total of 495 cases of BV's cardiac AEs were discerned, with the identification of 31 preferred terms (PTs). Among these, 8 PTs emerged as conspicuous signals of cardiac AEs, notably encompassing ventricular hypokinesia (ROR 7.59), tachyarrhythmia (ROR 7.06), sinus tachycardia (ROR 6.18), cardiopulmonary failure (ROR 4.44), pericardial effusion (ROR 4.32), acute coronary syndrome (ROR 4.02), cardiomyopathy (ROR 3.30), and tachycardia (ROR 2.76). The manifestation of severe outcomes demonstrates a discernible correlation with the cardiac AEs (P < 0.001). Our investigation furnishes invaluable insights for healthcare practitioners to proactively mitigate the incidence of BV-associated cardiac AEs.

Real-world reporting rates of administration-site reactions with on-demand treatment of hereditary angioedema attacks.

Background: Hereditary angioedema (HAE) is characterized by recurrent and unpredictable episodes of subcutaneous and/or submucosal swelling. Objective: To characterize the real-world treatment burden associated with existing on-demand therapies, we analyzed administration-site adverse drug reactions (ADR) associated with approved on-demand HAE therapies reported in the U.S. Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS). Methods: We searched the FAERS database from October 1, 2009, to March 31, 2022, for reports of all FDA-approved on-demand therapies for HAE: plasma-derived C1-inhibitor (pdC1-INH), ecallantide, icatibant, and recombinant C1-inhibitor (rhC1-INH). ADRs in which the drug was listed as the "primary suspect" were recorded for each drug. ADR preferred terms were grouped into 18 ADR domains based on semantic and/or clinical similarity, and the number of reports for each drug was calculated per year from the time of approval through March 2022, and descriptive results were presented. Preferred terms associated with administration-site ADRs identified from clinical trials and denoted on approved HAE drug U.S. package inserts were examined in a complementary analysis. Results: The highest reported rates of administration-site ADRs per year were site pain (17.9 reports per year), site erythema (7.4 per year), and site swelling (6.7 per year). RhC1-INH was the only drug for which access-site complications and/or malfunctions were reported (9.5 per year). PdC1-INH had the highest rate of incorrect route of product administration (3.7 per year). PdC1-INH showed statistically significant elevated reporting rate of injection-site reactions (reporting odds ratio [ROR] 3.59 [2.36-5.46]; empirical Bayesian geometric mean [EBGM] 1.97 [1.39]). Icatibant and rhC1-INH showed a statistical trend toward an increased reporting rate of administration-site reactions. Conclusion: Real-world data from FAERS were generally consistent with adverse events reported in clinical trials and suggest that patients experience substantial treatment burden associated with FDA-approved parenteral on-demand therapies for HAE attacks. It should be noted that ADR rates are not exposure adjusted and are based on spontaneous reporting.

A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database.

The opioid epidemic has become a serious national crisis in the United States. An indepth systematic analysis of opioid-related adverse events (AEs) can clarify the risks presented by opioid exposure, as well as the individual risk profiles of specific opioid drugs and the potential relationships among the opioids. In this study, 92 opioids were identified from the list of all Food and Drug Administration (FDA)-approved drugs, annotated by RxNorm and were classified into 13 opioid groups: buprenorphine, codeine, dihydrocodeine, fentanyl, hydrocodone, hydromorphone, meperidine, methadone, morphine, oxycodone, oxymorphone, tapentadol, and tramadol. A total of 14,970,399 AE reports were retrieved and downloaded from the FDA Adverse Events Reporting System (FAERS) from 2004, Quarter 1 to 2020, Quarter 3. After data processing, Empirical Bayes Geometric Mean (EBGM) was then applied which identified 3317 pairs of potential risk signals within the 13 opioid groups. Based on these potential safety signals, a comparative analysis was pursued to provide a global overview of opioid-related AEs for all 13 groups of FDA-approved prescription opioids. The top 10 most reported AEs for each opioid class were then presented. Both network analysis and hierarchical clustering analysis were conducted to further explore the relationship between opioids. Results from the network analysis revealed a close association among fentanyl, oxycodone, hydrocodone, and hydromorphone, which shared more than 22 AEs. In addition, much less commonly reported AEs were shared among dihydrocodeine, meperidine, oxymorphone, and tapentadol. On the contrary, the hierarchical clustering analysis further categorized the 13 opioid classes into two groups by comparing the full profiles of presence/absence of AEs. The results of network analysis and hierarchical clustering analysis were not only consistent and cross-validated each other but also provided a better and deeper understanding of the associations and relationships between the 13 opioid groups with respect to their adverse effect profiles.

Strong opioids-induced cardiac, neurologic, and respiratory disorders: a real-world study from 2004 to 2023 based on FAERS.

Opioids are mainly used as adjuncts to the induction and maintenance of general anesthesia, postoperative analgesia, and treating moderate to severe cancer pain and chronic pain. However, the hazards of these drugs to various organ organs still need to be further explored. This study used the US FDA Adverse Event Reporting System (FAERS) database to determine whether commonly receiving opioids was higher than the baseline risk for all other medications. FAERS was asked about adverse events (AEs) for the opioids "morphine," "fentanyl," "oxycodone," "hydromorphone," "sufentanil," and "remifentanil" from the first quarter of 2004 (2004Q1) through the second quarter of 2023 (2023Q2). Disproportionality signaling analysis was performed by calculating reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). AEs with system organ classes (SOCs) of "cardiac disease," "neurologic disease," and "respiratory, thoracic, and mediastinal disease" were then screened. The statistical analysis included 12,819,518 reports in the FAERS database from 2004Q1 to 2023Q2, of which 236,619 AEs were reported as "primary suspect" for the six drugs mentioned above, which were selected as "cardiac disorders," "nervous system disorders," and "respiratory, thoracic and mediastinal disorders." Some AEs identified in this study are consistent with the drug labeling, such as bradycardia, respiratory depression, and somnolence. In addition, some unexpected and significant acute adverse drug reactions (ADRs), such as toxic leukoencephalopathy and coma, may occur. This study identified potential new and unexpected ADRs for opioids, providing valuable evidence for safety studies of opioids.

Newly identified adverse events for gemcitabine using the Food and Drug Administration Adverse Event Reporting System

ABSTRACT Background Our research aimed to identify previously undocumented adverse events (AEs) in the gemcitabine drug insert with the goal of informing clinical practice. Methods We extracted adverse events associated with gemcitabine use through 2023 using the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Four algorithms (Reporting Odds Ratio, Proportional Reporting Ratio, Bayesian Confidence Propagation Neural Network, and Empirical Bayesian Geometric Mean) were employed to detect new AE signals. AEs were considered positive signals only if they were detected by all four algorithms. Results From 2014 to 2023, a total of 42,360 AEs were reported in 14,905 individuals following gemcitabine use. These AEs totaled 437 preferred terms (PTs) across 20 system organ classes (SOCs). We identified unexpected AEs related to the ocular disorders, the nervous system, and the ear and the labyrinth. The ocular organ system will present with retinopathy, purtscher retinopathy, choroidal effusion, amaurosis, necrotizing scleritis, etc. The nervous system may experience reversible posterior encephalopathy syndrome, cerebellar syndrome, cauda equina syndrome, athetosis, transverse myelitis, etc. The ears and labyrinth may exhibit ototoxicity. Conclusion Our study identified previously undetected signals following gemcitabine treatment, thereby providing new insights for future medication guidance.

A pharmacovigilance study of association between proton-pump inhibitors and rhabdomyolysis event based on FAERS database.

The association between proton-pump inhibitors (PPIs) and rhabdomyolysis were unclear. The aim of this study was to explore and systematically analyze the potential link between five PPIs and the rhabdomyolysis events using the FDA Adverse Event Reporting System (FAERS) database. Suspected rhabdomyolysis events associated with PPIs were identified by data mining with the reporting odds ratio (ROR), proportional reporting ratio (PRR), the information component (IC), and Empirical Bayes Geometric Mean (EBGM). Demographic information, drug administration, and outcomes of PPI-induced rhabdomyolysis events were also analyzed. There were 3311 reports associated with PPI-induced rhabdomyolysis that were identified. After removing duplicates, 1899 cases were determined to contain complete patient demographic data. The average age was 65±18year and 57% were male. Omeprazole and pantoprazole had the same largest percentage of reports. Lansoprazole had the highest ROR index of 12.67, followed by esomeprazole (11.18), omeprazole (10.27), rabeprazole (10.06), and pantoprazole (9.24). PRR, IC, and EBGM showed similar patterns. This suggested that lansoprazole exhibited the strongest correlation with rhabdomyolysis. In rhabdomyolysis events, PPIs were mainly "concomitant" (>60%), and only a few cases were "primary suspects" (<15%). Rabeprazole showed the lowest death rate while lansoprazole showed the highest. The study suggested that significant rhabdomyolysis signals were associated with PPIs. Further research should be performed in drug safety evaluation for a more comprehensive association.

Analysis of the adverse events following the mRNA-1273 COVID-19 vaccine

ABSTRACTObjectiveThis study aims to characterize the adverse events (AEs) following the administration of the mRNA-1273 COVID-19 vaccine from the Vaccine Adverse Event Reporting System (VAERS) data.MethodsIn this case/non-case analysis, reports between 1 January 2021, and 27 October 2022, were extracted from VAERS. AEs were defined as preferred terms (PTs) by Medical Dictionary for Regulatory Activities (MedDRA) terminology. Disproportionality analyses were conducted to calculate the reporting odds and proportional reporting ratios. The Bayesian approach was used to calculate information component (IC) values and Empirical Bayesian Geometric Mean scores for all the AEs detected.Results186 MedDRA PTs compromising 702,495 AEs associated with the mRNA-1273 vaccine were identified. Three statistically significant signals were identified for general and systemic AEs, administration site conditions, and product issues. Cardiac disorders were rarely reported, the most common being; 489 reports for ‘myocarditis’ (19.44%), 475 for ‘acute myocardial infarction’ (18.88%), 457 for ‘myocardial infarction’ (18.16%), 290 for ‘bradycardia’ (11.53%) and 281 for ‘pericarditis’ (11.17%).ConclusionsThe most frequently identified AEs following mRNA-1273 vaccination agree with those listed within the Summary of Product Characteristics. In addition, disproportionality analysis did not find any statistically significant signals for myocarditis or pericarditis.

Evaluating Ubrogepant-related adverse events using the FDA adverse event reporting system

ABSTRACT Background Migraine has a high prevalence in the population and accounts for 12% of primary headaches. Ubrogepant is used for the treatment of acute migraine, and although some clinical trials have demonstrated the safety of Ubrogepant, its long-term safety in a large sample of the population remains to be investigated. Methods We collected data from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. We used reporting odds ratio (ROR), the proportional reporting ratio (PRR), the information component (IC) and the empirical Bayes geometric mean (EBGM) to evaluate Ubrogepant-induced adverse events (AEs). Results We screened out 2,067 reports of Ubrogepant as primary suspected (PS) and 6,190 reports of Ubrogepant-induced AEs as PS. Our results showed that Ubrogepant-induced AEs targeted 4 system organ classes (SOCs), detected 32 Preferred terms (PTs) signals in 9 SOCs, including common Ubrogepant label consistent with Migraine, Nausea, Somnolence, Paraesthesia oral and Dizziness, It also includes the AEs of Hemiparesis, Mental impairment, Dysstasia, Tinnitus, Chest pain, Cold sweat, Neck pain, etc. that have not been demonstrated in previous studies. Conclusions Our study identified new AEs that have not been reported, which provides a new guidance to deepen the comprehension of the safety of Ubrogepant.

Exploring the association between selective serotonin reuptake inhibitors and rhabdomyolysis risk based on the FDA pharmacovigilance database

Rhabdomyolysis is a syndrome potentially fatal and has been associated with selective serotonin reuptake inhibitors (SSRIs) treatment in a few case reports. Herein, we purpose to establish the correlation between SSRIs use and rhabdomyolysis using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database. We conducted an analysis on reports that were submitted to the FAERS database during the period between January 1, 2004, and December 31, 2022. Four algorithms, including reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM), were employed to quantify the signals of rhabdomyolysis associated with SSRIs. In total, 16,011,277 non-duplicated reports were obtained and analyzed. Among 33,574 reports related to rhabdomyolysis, SSRIs were classified as primary suspected drug in 889 cases. Disproportionality analysis identified a positive signal between rhabdomyolysis and SSRIs (ROR: 2.86, 95% CI 2.67–3.05; PRR: 2.84, χ2: 1037.16; IC0.25 = 1.39; EBGM0.5 = 2.64). Among six SSRIs, fluvoxamine had the strongest signal (ROR: 11.64, 95% CI 8.00–16.93; PRR: 11.38, χ2: 265.51; IC0.25 = 2.41; EBGM0.5 = 8.31), whereas no significant signal of rhabdomyolysis was detected for paroxetine (ROR: 1.83, 95% CI 1.55–2.15; PRR: 1.82, χ2: 53.82; IC0.25 = 0.73; EBGM0.5 = 1.59). After excluding cases co-administered with statins, the signal of rhabdomyolysis associated with SSRIs remains significant. Our analysis reveals that there are differences in safety signals among six SSRIs in respect to the risk of rhabdomyolysis, with fluvoxamine displaying the highest risk signal, while paroxetine did not show a significant signal. Given the potentially lethal nature of rhabdomyolysis, healthcare professionals should inform patients of the potential risk of rhabdomyolysis associated with SSRIs prior to initiating treatment.