Food And Drug Administration Adverse Event Reporting System Database Research Articles

Immune checkpoint inhibitor-associated bullous pemphigoid: Aretrospective and real-world study based on the United States Food and Drug Administration adverse event reporting system.

This study aimed to describe bullous pemphigoid (BP) associated with immune checkpoint inhibitors (ICIs) reported in the United States Food and Drug Administration adverse event reporting system (FAERS). We obtained reports of ICI-associated BP from the first quarter of 2011 to the first quarter of 2024 in the FAERS database. The reporting odds ratio (ROR) method of the disproportionality analysis was performed to assess the potential risk for ICI-associated BP. We also described the clinical characteristics of ICI-associated BP and evaluated the time to onset (TTO) of BP developed after treatment with ICIs. Eight hundred and six cases of ICI-associated BP were gathered, in which 56.58% of the patients were aged 65 years or older. The majority of patients were male, accounting for 68.49% of all cases. The prevalent potential cancer type was skin cancer (31.64%). The results of the disproportionality analysis showed that males (ROR = 2.10 [1.78-2.49]), patients aged 65 or older (ROR = 2.13 [1.79-2.55]), and patients with skin cancer (ROR = 2.08 [1.80-2.43]) were more likely to develop ICI-associated BP. In comparison to cytotoxic T-lymphocyte-associated antigen 4 inhibitor and programmed cell death ligand 1 inhibitor, programmed cell death 1 inhibitor-associated BP has a higher risk of development (ROR = 24.45 [22.52-26.56]). ICI-associated BP had a median TTO of 204 days (interquartile range 57-426 days). ICI-associated BP is a rare but important immune-related adverse event. Our study provided helpful information to help medical professionals further understand ICI-associated BP.

Safety assessment of sapropterin dihydrochloride: real-world adverse event analysis based on the FDA adverse event reporting system (FAERS)

ObjectiveSapropterin dihydrochloride is the first drug for the therapy of phenylketonuria, which is a rare disease that occurs one of 10,000–15,000 newborns. As a result, detailed and comprehensive reports on the safety of sapropterin in large, real-world populations are required. The purpose of this study is to undertake a complete analysis of sapropterin’s adverse events (AEs) using the FDA Adverse Event Reporting System (FAERS) database.MethodsWe retrieved reports of adverse events with sapropterin as the principal suspect from FAERS between the first quarter of 2008 and the first quarter of 2024. The Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), and Bayesian Confidence Propagation Neural Network (BCPNN) were utilized to detect AE signals.ResultsThe study collected 4,953 suspected AE cases from the FAERS database, with sapropterin as the major suspect. A total of 130 positive signals were obtained utilizing the ROR, PRP, and BCPNN. The FAERS database revealed that common clinical AEs of sapropterin included vomiting, upper respiratory infection, rhinorrhea, and a reduction in amino acid concentrations. Furthermore, we detected probable unexpected adverse events (AEs) using disproportionality analysis, including gastroesophageal reflux disease, flatulence, influenza, ear infection, viral infection, pharyngitis streptococcal, spontaneous abortion, and nephrolithiasis.ConclusionBy analyzing huge amounts of real-world data from the FAERS database, we found potential novel AEs of sapropterin using disproportionate analysis. It is advantageous for healthcare professionals and pharmacists to focus on efficiently managing sapropterin’s high-risk adverse events, improving drug levels in clinical settings, and ensuring patient medication safety.

Drug-associated glaucoma: A real-world study based on the Food and Drug Administration adverse event reporting system database.

This study aims to assess the risk of drug-associated glaucoma and track its epidemiological characteristics using real-world data. Adverse event reports from the Food and Drug Administration Adverse Event Reporting System (FAERS) from January 2004 to December 2023 were analysed. Disproportionality analysis and the Bayesian Confidence Propagation Neural Network algorithm were used. The study classified drugs associated with glaucoma, assessed risk levels, and compared drug-induced times across different categories. Eight hundred and five drugs were linked to glaucoma in the FAERS database. Disproportionality analysis identified 46 drugs with significant risk, mainly adrenergic medications (clobetasol propionate, fluocinolone acetonide), antihypertensives (hydrochlorothiazide), insulin (insulin human), anticholinergics (umeclidinium, darifenacin), VEGF inhibitors (brolucizumab, faricimab), and psychotropics (topiramate, ziprasidone). The top three high-risk drugs were clobetasol propionate, umeclidinium, and fluocinolone acetonide. The shortest drug-induced times were observed with indacaterol, salmeterol, and umeclidinium. Anticholinergic medications had the shortest drug-induced time among all categories. Females (62.5%) and the elderly (average age 63.5 ± 16.8 years) were predominantly affected. Reports of drug-associated glaucoma increased over the years. Preventing drug-associated glaucoma is more effective than treatment. Identifying the risk and drug-induced times of systemic and ophthalmic drugs can reduce occurrence risk. Clinical practitioners should be vigilant and inform patients of these risks.

Real-world analysis of levetiracetam-associated rhabdomyolysis: insights from the FDA adverse event reporting system

ABSTRACT Background Levetiracetam, a widely prescribed antiseizure medication, is recognized for its broad-spectrum efficacy, good tolerability, and minimal drug interactions. This study examines the association between levetiracetam and rhabdomyolysis, utilizing real-world data from the FDA Adverse Event Reporting System (FAERS) database to further elucidate its safety profile. Methods This study extracted adverse events related to levetiracetam from the FAERS database (Q1 2013 to Q1 2024). Four types of disproportionality analysis identified rhabdomyolysis as a significant adverse even. Logistic regression assessed risk factors, including gender, age, and severity. A Gaussian Mixture Model analyzed the time-to-onset distribution of rhabdomyolysis, while the impact of concomitant medications on its risk was evaluated using Reporting Odds Ratio (ROR). Results Levetiracetam significantly increased rhabdomyolysis risk (ROR = 13.5). Males showed a higher incidence (OR = 2.60). Most adverse events occurred within the first 30 days, with a bimodal onset distribution. Co-administration of antibiotics, antipsychotics, and PPIs elevated the risk while other antiseizure medications did not. Conclusion This study found a significant association between levetiracetam and the risk of rhabdomyolysis, highlighting the need for increased clinical vigilance in this patient population. Future research should focus on elucidating the underlying mechanisms and optimizing clinical guidelines.

Adverse events associated with parenteral nutrition support therapy: A pharmacovigilance study.

Parenteral nutrition (PN) plays a crucial role in nutrition support therapy, yet data on related adverse events (AEs) in practical settings are scarce. To address this, we analyzed AE signals associated with PN treatment from the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database. We extracted data from the FAERS database, covering the period from the first quarter (Q1) of 2004 to Q1 of 2024. Drug names and AEs were standardized. We then conducted disproportionality analyses using four different algorithms to evaluate the association between PN and its associated AEs. We collected a total of 48,890,925 reports from the FAERS database, of which 1642 involved PN-related AEs. After categorization, we identified 21 system organ classes (SOCs), and hepatobiliary disorders were the only significant SOC across all four algorithms. At the preferred term (PT) level, we identified 99 PTs that showed significant disproportionality in all four algorithms. Fat overload syndrome, fatty acid deficiency, parenteral nutrition-associated liver disease (PNALD), Malassezia infection, and Pantoea agglomerans infection were the most prominent PTs. In addition, several potential new AE signals included nervous, cardiac, immune, psychiatric, blood, renal, urinary, and eye disorders. Our study identified several common and rare PN-related AEs reported in the FAERS database. Patients and healthcare providers should remain vigilant about these AEs. Understanding the risks of PN therapy and establishing practical procedures can help reduce AEs.

Adverse events analysis of Relugolix (Orgovyx®) for prostate cancer based on the FDA Adverse Event Reporting System (FAERS).

Due to the limitations of clinical trials, some delayed and rare adverse events (AEs) may remain undetected, and safety information can be supplemented through post-market data analysis. This study aims to comprehensively analyze the AEs associated with Relugolix (Orgovyx®) using data from the FAERS database, and gain a better understanding of the potential risks and side effects of Relugolix (Orgovyx®) therapy. Data of Relugolix (Orgovyx®) were collected from the FAERS database covering the period from the fourth quarter of 2020 to the third quarter of 2023. Disproportionality analysis was performed by calculating the reporting odds ratios (ROR), proportional reporting ratio (PRR), Bayesian analysis confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) to detect positive signals. Totally, 5,382,189 reports were collected from the FAERS database, 4,397 reports of Relugolix (Orgovyx®) were identified as the 'primary suspected (PS)' AEs. Relugolix (Orgovyx®) induced AEs occurred in 26 organ systems. 58 significant disproportionality preferred terms (PTs) satisfying with the four algorithms were retained at the same time. Unexpected significant AEs such as Pollakiuria, and Prostatic specific antigen increased also occur. The median time of onset was 60 days. The majority of the AEs occurred within the first 30 days after Relugolix (Orgovyx®) initiation. Common AEs included Hot flush, Fatigue, Asthenia, Constipation, and Myalgia. These AEs should be focused on when using the drug to avoid serious consequences. In addition, the study results also suggested that the drug may exist Pollakiuria, Prostatic specific antigen increased and other AEs not mentioned in the manual, to supplement the AEs in the manual. This study is helpful for clinicians and pharmacists to improve their understanding of Relugolix (Orgovyx®) related AEs, and take timely prevention and treatment measures to ensure drug safety for patients.

Cardiovascular adverse events associated with triptans for treatment of migraine: a pharmacovigilance study of the FDA adverse event reporting system (FAERS).

The purpose of this study was to determine the relationship between triptans (sumatriptan, rizatriptan, and zolmitriptan) and cardiovascular (CV) adverse events with data from the FDA Adverse Event Reporting System (FAERS). FAERS database was used to collect data on triptans from 1997 to 2023. Disproportionality methods were utilized to quantify triptan-associated CV events and to identify the potential risk. The reporting odds ratio was used to identify the risk signals. CV outcomes related to age, sex, clinical results, and other factors were also examined for triptans; 820 reports involving the triptans were recognized as CV adverse events out of total of 12 699 reports that were gathered from on FAERS database. Women reported more CV adverse events with rizatriptan and zolmitriptan as compared to men. The CV adverse event risk was highest among individuals aged 18-64. Clinical outcome analysis showed that sumatriptan carries a higher CV risk than rizatriptan and zolmitriptan, and most deaths and serious cases have been documented for sumatriptan. The patients prescribed sumatriptan or zolmitriptan were at a higher risk of reporting CV events for chest pain and chest discomfort, compared to rizatriptan. This finding may provide support for the clinical observation and risk evaluation of triptan treatment.

A real-world pharmacovigilance study of tafasitamab: data mining of the US food and drug administration adverse event reporting system

ABSTRACT Background Tafasitamab is the first anti-CD19 monoclonal antibody approved for relapsed/refractory diffuse large B-cell lymphoma patients ineligible for autologous stem cell transplantation. The study was designed to evaluate tafasitamab-associated adverse events (AEs) by data mining the United States Food and Drug Administration Adverse Event Reporting System (FAERS). Research design and methods A disproportionality analysis was performed to assess the safety profile of tafasitamab based on the reports from the FAERS database between 2020Q3 and 2023Q3. Proportional reporting ratio (PRR) and empirical Bayesian geometric mean (EBGM) were used to identify the signals of AEs in patients receiving tafasitamab. Results A total of 529 reports with tafasitamab as the primary suspect drug were collected, including 1,262 AEs. Of these, 28 repeated AEs were identified using two algorithms. After excluding events unrelated to drug therapy, the top five repeated AEs by intensity ranking were cytopenia, immunosuppression, neutropenic sepsis, blood lactate dehydrogenase increased, and hematotoxicity. Unexpected significant AEs included polyneuropathy, splenomegaly, hemophagocytic lymphohistiocytosis, hypercalcemia, and ascites. Conclusions This study provides additional evidence for risk identification of tafasitamab in the real world, which could help clinicians and pharmacists increase vigilance and improve the safety of tafasitamab in clinical practice.

Differences in safety profiles of anti-herpesvirus medications: a real-world pharmacovigilance study based on the FAERS database

ABSTRACT Background Anti-herpesvirus drug safety profiles have not been systematically compared. Understanding variations in adverse events (AEs) could provide reference for rational clinical use. Methods We collected data on acyclovir, ganciclovir, valaciclovir, and foscarnet from the FDA Adverse Event Reporting System (FAERS) database from Q1 2004 to Q3 2023. Disproportionality analyses were conducted to evaluate the risk of AEs. Results All drugs exhibited significant associations with hematotoxicity, with ganciclovir and foscarnet being more myelosuppressive. The correlation with renal impairment ranked as follows: foscarnet, ganciclovir, valaciclovir, and acyclovir (ROR = 16.72, 7.06, 3.51, and 2.02, respectively). Regarding hepatotoxicity, ganciclovir was associated with acute-on-chronic liver failure (ROR = 52.83), and foscarnet was associated with fulminant hepatitis (ROR = 49.91). In the nervous system, acyclovir showed the highest intensity of neurotoxicity (ROR = 14.95). Valaciclovir ranked first in toxic encephalopathy (ROR = 64.70). Foscarnet showed the highest intensity of status epilepticus (ROR = 6.45). Besides, acyclovir showed the strongest association with severe cutaneous adverse reactions (SCARs). Conclusions Our study revealed differences in safety profiles of four anti-herpesvirus medications. Ganciclovir exhibited the highest risk of hematotoxicity but appeared relatively safe in seizures and SCARs. Foscarnet was more likely to induce nephrotoxicity, seizures, and electrolyte imbalances than others. Acyclovir and valaciclovir were strongly associated with plasmacytosis, neurotoxicity, and SCARs.

A real-world adverse events study of rimegepant from the FAERS database

ABSTRACT Background The primary objective of this research is to conduct an exhaustive evaluation of rimegepant with the Food and Drug Administration Adverse Event Reporting System (FAERS) repository. Research design and methods This study downloaded the reporting files related to rimegepant from the second quarter of 2020 to the first quarter of 2024. Disproportionality analysis was utilized to explore the relationship between rimegepant and adverse drug events (ADEs). Results This study analyzed 6659 ADE reports associated with rimegepant as the primary suspected (PS) drug. In the disproportionate analysis of system organ classes (SOCs), the significant signal for rimegepant was general disorders and administration site conditions. On the preferred terms level, 35 ADEs were identified following the exclusion. The top 5 ADEs with high signal strengths were medication overuse headache, nasal edema, tension headache, performance status decreased, and motion sickness. The most frequent ADEs were nausea, feeling abnormal, abdominal pain upper, somnolence, and hypersensitivity. In addition, we need to pay attention to the ADEs not mentioned in the instruction and clinically significant: vertigo, hyperacusis, somnolence, Raynaud’s phenomenon, motion sickness, panic attack, and fear. Conclusions This study highlights previously unrecognized safety concerns associated with the use of rimegepant. These novel safety aspects suggest that while these treatments can be effective, additional risks may need further exploration.

Adverse events associated with azithromycin and clarithromycin in adults aged ≥65: a disproportionality analysis of the FDA Adverse Event Reporting System (FAERS) database

ABSTRACT Background Azithromycin and clarithromycin are commonly used to treat community-acquired pneumonia in adults aged ≥ 65, such as mycoplasma pneumonia. This study aims to evaluate adverse events (AEs) associated with azithromycin and clarithromycin in this age group by analyzing the FDA Adverse Event Reporting System (FAERS), providing insights for clinical use and management of AEs in this population. Research design and methods We retrieved reports of AEs related to azithromycin and clarithromycin from the FAERS database. Disproportionality analysis was conducted using the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Gamma Poisson Shrinkage (MGPS) to identify AEs associated with azithromycin and clarithromycin in adults aged ≥ 65. Results A total of 2,019 adverse event reports were retrieved for azithromycin, and 2,392 for clarithromycin. Off-label use (n = 349) and drug interactions (n = 487) were the most reported AEs in adults aged ≥ 65 for azithromycin and clarithromycin, respectively. Prolonged QT interval showed the strongest signal among AEs for azithromycin in this age group. Drug interaction-related medication errors had the strongest signal for clarithromycin. Seven signals not explicitly included in the azithromycin package insert were identified in adults aged ≥ 65. Fourteen signals not explicitly included in the clarithromycin package insert were identified. Conclusions Among adults aged ≥ 65, cardiac-related adverse events are more closely associated with azithromycin than with clarithromycin. Conversely, AEs related to drug interactions and psychiatric symptoms are more associated with clarithromycin. Additionally, clinicians should be vigilant regarding AEs not specified in the package inserts. The findings of this study may help optimize the selection of azithromycin and clarithromycin based on patient circumstances and assist clinicians in focusing on relevant AEs for early intervention.

Signal detection of immune thrombocytopenia associated with immune checkpoint inhibitors

Immune checkpoint inhibitors (ICIs) have become an important treatment modality for various malignancies. Due to excessive inflammatory and immune responses, immune-related adverse events (irAEs), such as rash, pruritis, pneumonitis, hepatitis, hypothyroidism, hyperthyroidism and fatigue, can occur. Acquired immune thrombocytopenia is a rare irAE that can lead to severe low platelet counts and hemorrhage. A retrospective observational analysis was conducted on data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS). We searched for all reports recorded in the FAERS covering the period from 2011 Q1 to 2023 Q4 for target agents. Signal analysis was performed using the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithm. Nonparametric tests were used to compare the time to onset of thrombocytopenia-associated fractures between different regimens. There were 404 reports of immune thrombocytopenia in the FAERS database. Immune thrombocytopenia was associated with all ICIs except tremelimumab, and signals were detected by all 4 methods. The median time to the onset of immune thrombocytopenia caused by PD-1, PD-L1 and CTLA-4 inhibitors was 47 days (range: 21-139.2), 21 days (range: 13–131) and 9 days (range: 7–27), respectively. The Weibull shape parameter test revealed that pembrolizumab-, durvalumab-, and ipilimumab-induced thrombocytopenia had a random failure-type profile, and nivolumab- and atezolizumab-induced thrombocytopenia were characterized by an early failure-type profile. There was a significant reporting signal of ICI-induced thrombocytopenia associated with most ICIs. Immune thrombocytopenia has a greater incidence in males, elderly individuals and Asian populations, and PD-1 inhibitors were the most common cause. Clinicians should be aware of the signs of potential serious adverse events.

Post-marketing safety concerns with rimegepant based on a pharmacovigilance study

PurposeThis study aimed to comprehensively assess the safety of rimegepant administration in real-world clinical settings.MethodsData from the Food and Drug Administration Adverse Event Reporting System (FAERS) spanning the second quarter of 2020 through the first quarter of 2023 were retrospectively analyzed in this pharmacovigilance investigation. This study focuses on employing subgroup analysis to monitor rimegepant drug safety. Descriptive analysis was employed to examine clinical characteristics and concomitant medication of adverse event reports associated with rimegepant, including report season, reporter country, sex, age, weight, dose, and frequency, onset time, et al. Correlation analysis, including techniques such as violin plots, was utilized to explore relationships between clinical characteristics in greater detail. Additionally, four disproportionality analysis methods were applied to assess adverse event signals associated with rimegepant.ResultsA total of 5,416,969 adverse event reports extracted from the FAERS database, 10, 194 adverse events were identified as the “primary suspect” (PS) drug attributed to rimegepant. Rimegepant-associated adverse events involved 27 System Organ Classes (SOCs), and the significant SOC meeting all four detection criteria was “general disorders and administration site conditions” (SOC: 10018065). Additionally, new significant adverse events were discovered, including “vomiting projectile” (PT: 10047708), “eructation” (PT: 10015137), “motion sickness” (PT: 10027990), “feeling drunk” (PT: 10016330), “reaction to food additive” (PT: 10037977), etc. Descriptive analysis indicated that the majority of reporters were consumers (88.1%), with most reports involving female patients. Significant differences were observed between female and male patients across age categories, and the concomitant use of rimegepant with other medications was complex.ConclusionThis study has preliminarily identified potential new adverse events associated with rimegepant, such as those involving the gastrointestinal system, nervous system, and immune system, which warrant further research to determine their exact mechanisms and risk factors. Additionally, significant differences in rimegepant-related adverse events were observed across different age groups and sexes, and the complexity of concomitant medication use should be given special attention in clinical practice.

Post-marketing safety of tralokinumab: a real-world pharmacovigilance study based on the FDA adverse event reporting system

ABSTRACT Background Tralokinumab is a fully human IgG4 monoclonal antibody targeting IL-13, used for treating atopic dermatitis. This study analyzed tralokinumab-related adverse drug events by mining the Food and Drug Administration Adverse Event Reporting System (FAERS) database to provide a safety reference for clinical application. Methods Adverse drug event reports from Q1 2022 to Q2 2024 were extracted from the FAERS database. After standardizing the data, various signal detection methods were used for analysis, including ROR, PRR, BCPNN, and MGPS. Results A total of 1,820 reports of adverse events (AEs) with tralokinumab as the primary suspected drug were identified. 70 preferred terms (PTs) met the criteria across four signal detection methods, involving 11 system organ classes (SOCs). These included known adverse reactions like conjunctivitis and injection site reactions, and signals not previously reported in clinical trials, such as eye pruritus, dry eye, eye swelling, pneumonia pneumococcal, and cutaneous T-cell lymphoma. Most AEs occurred within one month of initiating tralokinumab treatment. Conclusions Based on the FAERS database, this study comprehensively and systematically analyzed AE signals in tralokinumab treatment. The results enhance the understanding of tralokinumab’s safety and serve as valuable references for reducing the risk of adverse reactions during clinical use.

Adverse Event Assessment of Upadacitinib: A Pharmacovigilance Study Based on the FAERS Database.

Upadacitinib, a Janus kinase (JAK) inhibitor, has been approved by the FDA to treat various autoimmune conditions. This study assessed its adverse events by analyzing reports from the FDA Adverse Event Reporting System (FAERS). FAERS data from Q3 2019 to Q4 2023 were extracted, and disproportionality analyses were conducted using four statistical measures, reporting odds ratio, proportionate reporting ratio, Bayesian confidence propagation neural network, and empirical Bayesian geometric mean. A total of 6 879 398 adverse event reports were collected, with 37 700 reports identifying upadacitinib as the "primary suspected." These reports involved 24 system organ classes and 246 preferred terms that met the criteria across all four algorithms. The distribution of adverse events was assessed separately for female and male patients. Further analysis of the top 25 preferred terms revealed that, although the system organ classes were similar between sexes, the specific adverse events differed. The adverse events were analyzed by gender, showing musculoskeletal and skin disorders were prevalent and severe in male patients, while musculoskeletal issues, infections, and abnormal laboratory tests were common in female patients. Unexpected events like trigger finger, biliary sepsis, and serious events such as oral neoplasm were also identified. This study provides real-world evidence for the safety evaluation of upadacitinib and underscores the need to monitor sex-specific adverse events. Future prospective studies are necessary to confirm these pharmacovigilance findings.

Exploration of the potential association between newer antiseizure medications and arrhythmias: Integrating pharmacovigilance and bioinformatics evidence

IntroductionArrhythmias resulting from newer antiseizure medications (ASMs) may significantly impact the safety and quality of life of patients with epilepsy. This study investigated the potential association between new first-line or second-line ASMs and arrhythmias. MethodsPharmacovigilance analysis was conducted using data from the Food and Drug Administration Adverse Event Reporting System (FAERS) from 2004 to 2023. A disproportionality analysis was performed to compare newer ASMs with other drugs, using carbamazepine and valproate as positive controls. Newer ASMs were categorized into sodium channel (SCN) main mechanism, SCN possible mechanism, and non-SCN group. The bioinformatics analysis involved retrieving therapeutic gene targets for ASMs from the DrugBank and OMIM databases, as well as identifying arrhythmia disease targets from the GeneCards database. Additionally, enrichment analysis of gene ontology functions and KEGG pathways was conducted. ResultsA total of 3,457 cases of arrhythmias associated with newer ASMs were identified in the FAERS database. Disproportionality analysis indicates that brivaracetam (IC025 = 0.08), zonisamide (IC025 = 0.13), eslicarbazepine (IC025 = 0.39), and lacosamide (IC025 = 0.84) exhibited a positive signal for arrhythmias, with signals predominantly observed in the SCN main mechanism group. Furthermore, bioinformatics analysis revealed the involvement of adrenergic signaling in cardiac myocytes, as well as the participation of sodium channel genes in ASM-induced arrhythmias. ConclusionOur findings suggest a potential association between SCN-ASMs and arrhythmias, highlighting the importance of monitoring and evaluating the safety profiles of newer ASMs in clinical practice. Further research is necessary to elucidate the underlying mechanisms and inform patient care strategies.

Clinical characteristics and influencing factors of anti-PD-1/PD-L1-related severe cardiac adverse event: based on FAERS and TCGA databases.

Combining the FDA Adverse Event Reporting System (FAERS) and the Cancer Genome Atlas (TCGA) databases, we aim to explore the factors that influence anti-programmed cell death protein-1 inhibitors/programmed death-ligand-1 (PD-1/PD-L1) related severe cardiac adverse events (cAEs). We obtained anti-PD-1/PD-L1 adverse event reports from January 2014 to December 2022 from the FAERS database. Disproportionality analysis was performed to find anti-PD-1/PD-L1-related cAEs using the proportional reporting ratio (PRR). We were exploring influencing factors based on multivariate logistic regression analysis. Finally, we utilized a strategy that combines FAERS and TCGA databases to explore the potential immune and genetic influencing factors associated with anti-PD-1/PD-L1-related severe cAEs. Reports of severe cAEs accounted for 7.10% of the overall anti-PD-1/PD-L1 adverse event reports in the FAERS database. Immune-mediated myocarditis (PRR = 77.01[59.77-99.23]) shows the strongest toxic signal. The elderly group (65-74: OR = 1.34[1.23-1.47], ≥ 75: OR = 1.64[1.49-1.81]), male (OR = 1.14[1.05-1.24]), anti-PD-L1 agents (OR = 1.17[1.03-1.33]), patients with other adverse events (OR = 2.38[2.17-2.60]), and the concomitant use of proton pump inhibitor (OR = 1.29[1.17-1.43]), nonsteroidal anti-inflammatory drugs (OR = 1.17[1.04-1.31]), or antibiotics (OR = 1.24[1.08-1.43]) may increase the risk of severe cAEs. In addition, PD-L1 mRNA (Rs = 0.71, FDR = 2.30 × 10- 3) and low-density lipoprotein receptor-related protein 3 (LRP3) (Rs = 0.82, FDR = 2.17 × 10- 2) may be immune and genetic influencing factors for severe cAEs. Severe cAEs may be related to antigen receptor-mediated signalling pathways. In this study, we found that age, gender, anti-PD-1/PD-L1 agents, concomitant other adverse events, concomitant medication, PD-L1 mRNA, and LRP3 may be influencing factors for anti-PD-1/PD-L1-related severe cAEs. However, our findings still require a large-scale prospective cohort validation.

Disproportionality analysis of drug-induced dry mouth using data from the United States food and drug administration adverse event reporting system database

BackgroundDrug-induced dry mouth is an adverse reaction that can significantly affect the quality of life and mental state of patients. In this study, we aimed to identify the most common drugs associated with dry mouth using data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database. MethodsWe accessed data from the FAERS database between the first quarter of 2004 and the first quarter of 2024. The Medical Dictionary for Regulatory Activities was used to identify reports of dry mouth, and disproportionality analyses (reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker) were performed to examine the risk signals for dry mouth and its causative drugs. ResultsA total of 75,899 adverse event reports were related to dry mouth. Tiotropium bromide monohydrate (2080 cases) was associated with the majority of dry mouth cases. Disproportionality analysis revealed that the top five drugs with the highest reporting odds ratio (ROR) were darifenacin, solifenacin succinate, fesoterodine fumarate, tolterodine tartrate, and niraparib. Moreover, eight of the top 19 drugs that caused dry mouth were not identified as having major side effects in the package inserts. ConclusionTiotropium bromide monohydrate was the most frequently reported drug for dry mouth, whereas darifenacin had the highest ROR. Collectively, our findings emphasize the necessity for improved recognition and management of drug-induced dry mouth, particularly for medications not adequately flagged for this side effect in their labels.

Mining and evaluation of adverse event signals for capmatinib based on the FAERS database.

To conduct a comprehensive data analysis based on the FDA's Adverse Event Reporting System (FAERS) to mine possible adverse event (AE) signals of Capmatinib, providing valuable references for its clinical application. Capmatinib was the primary suspected drug in the search of FAERS database from the second quarter of 2020 to the fourth quarter of 2023. Data processing, screening, and classification were performed using methods such as the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS). A total of 1,991 AE reports directly related to Capmatinib were screened, identifying 269 Preferred Terms (PTs) involving 26 System Organ Classes (SOCs). Besides the AEs recorded in the drug label (such as edema, nausea, fatigue, and dyspnea), the study unearthed other high-risk AEs not listed in the label, including Renal and urinary disorders, Vocal cord paralysis, and Ear and labyrinth disorders. Among these, renal and urinary disorders, and ear and labyrinth disorders had a higher frequency and intensity of signals, suggesting that their mechanisms of occurrence could be a future research direction. This study uncovered new potential AEs of Capmatinib based on the FAERS database, providing reference for its safe clinical use. Special attention should be given to the occurrence of ear and labyrinth disorders and renal and urinary disorders, primarily presenting as pseudo-acute kidney injury, during treatment.

Development and validation of a clinical prediction model for osteonecrosis of the jaw in patients receiving zoledronic acid using FAERS and canadian databases.

Osteonecrosis of the jaw (ONJ) stands as a severe complication linked to the use of bisphosphonates, particularly zoledronic acid, which is widely prescribed for managing conditions like osteoporosis and bone metastasis. This study is geared towards the development and validation of a clinical prediction model for ONJ in patients undergoing zoledronic acid treatment. We harnessed data from the FDA Adverse Event Reporting System (FAERS) as our training dataset, while the Canada Vigilance Adverse Reaction (CVAR) database served as the testing dataset. The study encompassed patients treated with zoledronic acid and subsequently diagnosed with ONJ. We analysed a range of predictive factors, including breast cancer, bone metastasis, osteoporosis, vitamin D and calcium levels, comorbidities, the number of concomitant medications, dosage, age, weight, and gender. Logistic regression and nomogram analysis were the chosen methodologies for constructing the predictive model. To evaluate the model's performance, we utilized receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). The study encompassed a total of 2,126 patients in the training cohort, 911 patients in the internal test cohort from the FAERS database, and 121 patients in the external test cohort from the CVAR database. Notable predictors for ONJ included bone metastasis (OR: 1.65, 95% CI: 1.22-2.24), osteoporosis (OR: 0.33, 95% CI: 0.21-0.52), the number of concomitant medications (OR: 1.07, 95% CI: 1.05-1.09), and the dosage of zoledronic acid (OR: 1.24, 95% CI: 1.10-1.39). The nomogram exhibited robust discriminatory power, evidenced by an area under the curve (AUC) of 0.77 in the training cohort, 0.76 in the internal test cohort, and 0.90 in the external test cohort. Calibration plots demonstrated a strong alignment between observed and predicted probabilities. Furthermore, DCA highlighted the prediction model's significant net benefit across various threshold probabilities. By leveraging data from both the FAERS and Canadian databases, this study has successfully developed and validated a clinical prediction model for ONJ in patients receiving zoledronic acid. This model stands as a valuable tool for clinicians, enabling them to pinpoint high-risk patients and make evidence-based treatment decisions to minimize the risk of ONJ.