FDA Adverse Event Reporting System Research Articles

Comparative safety analysis of lacosamide and perampanel in epilepsy management: insights from FAERS database.

Epilepsy is a chronic neurological condition requiring effective management with minimal adverse effects. Lacosamide (LCM) and Perampanel (PER), two promising treatments, have distinct profiles that merit comparative analysis to guide clinical decision-making. This study utilizes a pharmacovigilance analysis of adverse events reported in the FDA Adverse Event Reporting System database from Q1 2009 to Q3 2023. Employing disproportionality and Bayesian analyses, we assessed and compared the AE signals associated with LCM and PER to elucidate their safety profiles in epilepsy treatment. The analysis included 12,576 AE reports for LCM and 2,703 for PER, highlighting a higher incidence of psychiatric disorders, including aggression with LCM, and a notable association of PER with psychiatric disorders such as psychotic disorders and dizziness. LCM showed a relatively safe profile during pregnancy, whereas PER's data suggested caution due to reported cases of suicidal ideation and attempts. This comprehensive evaluation underscores the importance of understanding the distinct AE profiles of LCM and PER in clinical practice, providing valuable insights for personalized epilepsy management. Future research with rigorous prospective designs is recommended to validate these findings and explore the mechanisms underlying the reported adverse events.

Association between duration of action of benzodiazepine hypnotic drugs and blepharospasm: A disproportionality analysis study using FDA Adverse Events Reporting System.

Association between duration of action of benzodiazepine hypnotic drugs and blepharospasm: A disproportionality analysis study using FDA Adverse Events Reporting System.

Sodium-glucose cotransporter 2 inhibitors and renal cancer in the US FDA adverse event reporting system.

Recent evidence suggests an association between sodium-glucose cotransporter 2 (SGLT2) inhibitors and a higher risk of renal cancer. We conducted a pharmacovigilance analysis using the US FDA Adverse Event Reporting System (FAERS) to investigate the disproportionate association between SGLT2 inhibitors and renal cancer. We used AERSMine to mine data from FAERS, covering the period from 2014 Q1 to 2023 Q3. The control group was treated with other glucose-lowering medications (ATC-A10B). Disproportionality analysis results were performed using a proportional reporting ratio (PRR) with a 95% confidence interval (CI) and an information component (IC) with 95% credible interval. Compared to the control group, the SGLT2 inhibitor group had a higher disproportionate renal cancer reporting frequency (0.92 vs 0.27/1000 reports; PRR 3.38; 95% CI 2.68-4.25; p < 0.001) with an IC of 1.36 (0.60-2.06), comprising dapagliflozin (PRR 4.14; 2.95-5.80; p < 0.001), empagliflozin (PRR 2.74; 1.94-3.89; p < 0.001), and canagliflozin (PRR 3.56; 2.48-5.12; p < 0.001). Consistent results were obtained in the diabetes indication with the primary outcomes only for the SGLT2 inhibitors group (not individual molecule). The results of the sensitivity analysis (excluding hypertension indication or antihypertensive drugs, obesity, smoking, alpha-1 blockers, or anti-renal cancer drugs) were highly consistent with the main outcomes, indicating good robustness of the results. The results from 2004 Q1 to 2023 Q3 were similar to those from 2014 Q1 to 2023 Q3, with the exception of empagliflozin. There was a disproportionate association between SGLT2 inhibitors and renal cancer, which supports the current meta-analysis results indicating an increased risk of renal cancer associated with SGLT2 inhibitors.

Drug-Related Keratitis: A Real-World FDA Adverse Event Reporting System Database Study.

This study aimed to assess the drug risk of drug-related keratitis and track the epidemiological characteristics of drug-related keratitis. This study analyzed data from the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database from January 2004 to December 2023. A disproportionality analysis was conducted to assess drug-related keratitis with positive signals, and drugs were classified and assessed with regard to their drug-induced timing and risk of drug-related keratitis. A total of 1606 drugs were reported to pose a risk of drug-related keratitis in the FAERS database, and, after disproportionality analysis and screening, 17 drugs were found to significantly increase the risk of drug-related keratitis. Among them, seven were ophthalmic medications, including dorzolamide (reporting odds ratio [ROR] = 3695.82), travoprost (ROR = 2287.27), and brimonidine (ROR = 2118.52), and 10 were non-ophthalmic medications, including tralokinumab (ROR = 2609.12), trazodone (ROR = 2377.07), and belantamab mafodotin (ROR = 680.28). The top three drugs having the highest risk of drug-related keratitis were dorzolamide (Bayesian confidence propagation neural network [BCPNN] = 11.71), trazodone (BCPNN = 11.11), and tralokinumab (BCPNN = 11.08). The drug-induced times for non-ophthalmic medications were significantly shorter than those for ophthalmic medications (mean days, 141.02 vs. 321.96, respectively; P < 0.001). The incidence of drug-related keratitis reached its peak in 2023. Prevention of drug-related keratitis is more important than treatment. Identifying the specific risks and timing of drug-induced keratitis can support the development of preventive measures. Identifying the specific drugs related to medication-related keratitis is of significant importance for drug vigilance in the occurrence of drug-related keratitis.

Association of anxiolytic drugs with Torsade de Pointes: a pharmacovigilance study of the Food and Drug Administration Adverse Event Reporting System.

This study aimed to determine the association of Torsade de Pointes (TdP) with anxiolytic drugs and present a detailed overview of anxiolytic-induced cases of TdP reported to the Food and Drug Administration Adverse Event Reporting System (FAERS). All cases of anxiolytic-induced TdP (n = 260) between 1990 and 2020 were retrieved from the FAERS database using the Preferred Term 'Torsade de Pointes, code: 10044066' from the Medical Dictionary for Regulatory Activities (MedDRA version 22). Four data-mining algorithms were used for disproportionality analysis: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Empirical Bayes Geometric Mean (EBGM), and Information Content (IC). Anxiolytics with ≥3 TdP cases were included. Of a total of eight drugs, this study identified seven signals of TdP, of which six signals were new, namely for alprazolam, bromazepam, lorazepam, meprobamate, midazolam, and oxazepam. Based on disproportionality analysis, among new signals, the highest risk of TdP was observed with bromazepam and midazolam. Alprazolam showed the lowest risk for TdP, while diazepam did not reach significant disproportionality. This study identified six new signals of TdP among anxiolytic drugs, so warranting stringent clinical studies to ascertain the actual risk of TdP and ensure patient safety. This study is registered at ClinicalTrials.gov (NCT.gov ID: NCT04293432).

Rhabdomyolysis associated with concomitant use of colchicine and statins in the real world: identifying the likelihood of drug-drug interactions through the FDA adverse event reporting system.

Currently, there remains substantial controversy in research regarding whether the concomitant use of colchicine and statins increases the occurrence of rhabdomyolysis, warranting further substantiation. This study aimed to identify the likelihood drug-drug interactions (DDIs) for the co-administration of colchicine and statins resulting in rhabdomyolysis. A disproportionality analysis was conducted by using data sourced from the US Food and Drug Administration Adverse Event Reporting System (FAERS) to detect rhabdomyolysis signals associated with the combined use of colchicine and statins. The association between (colchicine/statins/colchicine and statins) and rhabdomyolysis were evaluated using information component (IC). DDI signals were calculated based on the Ω shrinkage measure and Bayesian confidence propagation neural network (BCPNN) method. Furthermore, stratification was performed based on colchicine and individual statins agents. In total, 11,119 reports of rhabdomyolysis were identified in the FAERS database, 255 (2.29%) involved both colchicine and statins. Our analysis showed potential DDI signals of rhabdomyolysis (Ω025 = 1.17) among individuals concurrent use of colchicine and statins. Moreover, further drug-specific analysis suggests DDI signals in the colchicine-atorvastatin pair (Ω025 = 1.12), and colchicine-rosuvastatin pair (Ω025 = 1.05), along with a higher proportion of rhabdomyolysis (IC025 = 5.20) and (IC025 = 4.26), respectively. The findings suggest that concomitant use of colchicine and statins may increase the risk of rhabdomyolysis, particularly when combined with atorvastatin or rosuvastatin. Therefore, healthcare professionals should pay special attention to life-threatening AE such as rhabdomyolysis, when co-prescribing colchicine statins.

A real-world disproportionality analysis of baloxavir marboxil: post-marketing pharmacovigilance data

ABSTRACT Objective Baloxavir marboxil (hereafter referred to as baloxavir) is the only cap-dependent endonuclease inhiabitor approved for the treatment and prevention of influenza. However, as a new drug marketed in 2018, the long-term safety of baloxavir in large sample population was unclear. This study aims to evaluate baloxavir-associated adverse events (AEs) through data mining of the international pharmacovigilance database of US FDA Adverse Event Reporting System (FAERS). Methods Disproportionality analysis was conducted to assess the association between baloxavir and its AEs. Data were collected from FAERS from March 2018 to June 2023. After standardizing the data, signal quantification techniques including ROR, PRR, BCPNN and MGPS were used for analysis. Results A total of 49 significant baloxavir-related preferred terms (PTs) in 20 system organ classes (SOCs) were identified in our data analysis. Compared to baloxavir’s FDA label, some new PTs emerged, with the top 10 being pneumonia, loss of consciousness, rhabdomyolysis, seizure, altered state of consciousness, hepatic function abnormal, delirium, depressed level of consciousness, encephalopathy and cardio-respiratory arrest. Conclusion In clinical application of baloxavir, attention should be paid to the new AE signals in addition to the those recorded in the labels, so as to ensure the safety of the patients.

Adverse events associated with Atogepant: a FAERS-based pharmacovigilance analysis

ABSTRACT Background Migraine, a prevalent neurovascular disorder, can significantly disrupt an individual’s daily life. Atogepant (AGN-241689), an orally administered small-molecule drug classified as a calcitonin gene-related peptide receptor antagonist, is utilized for prophylactic migraine treatment. The objective of this study was to investigate adverse events (AEs) associated with atogepant through data mining in the FDA Adverse Event Reporting System (FAERS) to enhance clinical safety. Methods Data for atogepant were obtained from the FAERS database covering Q3 2021 through Q4 2023. Disproportionality analysis was employed to quantify relevant AEs associated with atogepant. Reported Ratio of Ratios (ROR) was utilized for identifying risk signals within the FAERS data. This methodology relies on the System Organ Class (SOC) and Preferred Terminology (PT) of the Medical Dictionary for Regulatory Activities (MedDRA). Results From the FAERS database, a collection of 7,991,243 reports was obtained. Among these reports, a subset of 3015 was identified as ‘primary suspected (PS)’ AEs specifically related to atogepant. AEs induced by atogepant were observed across 27 organ systems. A total of 48 significantly disproportionate Preferred Terminologies (PTs) meeting all four algorithms were identified. Conclusion Our study has identified adverse events (AEs) associated with atogepant, potentially providing crucial support for the clinical monitoring and risk identification of atogepant.

Antibody-drug conjugates-related interstitial lung diseases: data mining of the FAERS database

ABSTRACT Background Interstitial lung diseases (ILD) is a serious adverse event (AE) associated with antibody-drug conjugates (ADCs). This study aims to delve deeply into the signals of AE associated with ILD linked to ADCs. Research design and methods The AE reports were extracted from the first quarter of 2004 to the fourth quarter of 2023 based on the FDA Adverse Event Reporting System (FAERS) database. Signal mining was performed using the reporting odds ratio (ROR) method and the multi‐item gamma Poisson shrinker (MGPS) method. Data management, analysis, and visualization were carried out using Python, R software, and MySQL. Results A total of 1389 AE reports related to ILD with 11 types of ADCs as the primary suspected drugs were obtained. The age groups most represented were 61–80 age group. ILD-related AE signals were detected for 11 ADCs in the study. Trastuzumab deruxtecan showed the strongest signals in both for ROR and MGPS methods. The median onset time vary from 8 days to 207 days. Conclusions The signals of ILD AE associated with ADCs are notably strong. ILD should be closely monitored and assessed in the clinical use of ADCs taking full account of the efficacy and risks of these drugs.

Disproportionality analysis of data from VigiBase and other global product safety databases on toxicity of iron chelating agents

ABSTRACT Background Iron chelators; deferasirox, deferiprone, and deferoxamine; used to treat iron toxicities due to excessive ingestions or blood transfusions, may cause serious adverse reactions. Research design and methods This study investigates pharmacovigilance data to uncover unknown safety information. Disproportionality analysis was conducted using VigiBase, the WHO global database of individual case safety reports, to known safety profile of products and the FDA Adverse Event Reporting System, reviewing over 117.000 iron chelator cases between 2010 and 2020. Results Commonly reported adverse events for iron chelators are general disorders and administration site conditions and GI-related disorders. Reporting Odds Ratio was calculated for iron chelator associations to headache (common), blurred vision (rare) and sepsis (serious). Strong association between deferoxamine and blurred vision (ROR: 2.47 in VigiBase and 3.04 in FAERS), deferiprone and sepsis (ROR; 5.95 in VigiBase and 1.24 in FAERS) were identified. However, results showed some inconsistent associations, such as headache and deferiprone, blurred vision and deferasirox association as per FAERS data; sepsis and deferasirox and deferoxamine association as per VigiBase data. Forty-five new potential signals with different associative values were suggested. Conclusion The study identified strong associations between specific iron chelators and adverse events, though some inconsistencies were observed in the data. These findings, including the 45 new potential signals, suggest areas for further review and validation with additional data.

Stratified analysis of the association between anti-obesity medications and digestive adverse events: a real-world study based on the FDA adverse event reporting system database

BackgroundNumerous digestive system adverse events (dsAEs) have been observed during the use of anti-obesity medications (AOMs), leading to concerns about the safety of these medications. However, most current studies are limited to the association of one class of drugs with specific digestive disorders, and there is no cascading analysis of AOMs in the digestive system. This study aims to use data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS) for a stratified analysis of the reported associations between AOMs and dsAEs.MethodsWe analyzed adverse event reports submitted to FAERS between January 2015 and December 2023 related to obesity treatment. It is important to note that FAERS data cannot establish causality or incidence rates. Pharmacovigilance (PV) signals were detected by disproportionate analyses through proportionate reporting ratio (PRR), reporting odds ratios (ROR), and information components (IC) to detect dsAEs associated with AOMs. Reporting rates, severity, and response outcomes of digestive adverse events were compared across AOMs by multivariate logistic regression analysis.ResultsAmong 34,396 adverse events (AEs) related to obesity treatment, 8844 dsAEs were analyzed. Comparing with semaglutide and liraglutide, tirzepatide exhibited fewer reported dsAEs while semaglutide and liraglutide showed a high correlation with non-lethal pancreatitis reports. Bupropion-naltrexone (31.65%) reported the highest number of dsAEs, and a PV signal was detected in mouth and lips AEs (ROR = 2.97, 95% CI: 2.42–3.6). Orlistat (ROR = 3.30, 95% CI: 3.08–3.55) exhibited the highest association with gastrointestinal AEs compared to other AOMs. PV signal for hepatobiliary AEs (ROR = 6.13, 95% CI: 3.45–10.88) with phentermine-topiramate still needs further clarification.ConclusionsTirzepatide may be considered for patients with a history of digestive system disease or an elevated risk of pancreatitis based on the pattern of reported dsAEs. Caution is needed for the orofacial AEs when using bupropion-naltrexone. Orlistat has a higher reporting rate of gastrointestinal AEs, but these events are typically less severe. Phentermine-topiramate’s association with liver impairment requires further clinical investigation. This article provides insights into the reported associations between AOMs and dsAEs, which may aid clinicians in making more informed decisions about individualizing medication and managing potential adverse events.

Risk of Suicide, Hair Loss, and Aspiration with GLP1-Receptor Agonists and Other Diabetic Agents: A Real-World Pharmacovigilance Study.

With the increasing popularity of glucagon-like peptide 1 receptor agonists (GLP1-RAs), numerous safety concerns arose pertaining to suicide, hair loss, and aspiration risks. We attempted to validate these concerns. We queried four pharmacovigilance databases to compare GLP1-RAs to sodium-glucose transporter 2 inhibitors (SGLT2is) with respect to these adverse events (AE): the FDA Adverse Event Reporting System (FAERS), the Australian Database of Adverse Event Notifications (DAEN), the European Medicines Agency's (EudraVigilance), and the World Health Organization-Vigibase. OpenVigil 2.1 was utilized to perform a disproportionality analysis for GLP1-RAs, SGLT2is, dipeptidyl peptidase 4 inhibitors (DPP4is), sulfonylureas, metformin, and insulin. The following indices were extracted from the FAERS database from Q4/2003 until Q3/2023: relative reporting ratio (RRR), proportional reporting ratio (PRR), reporting odds ratio (ROR), and chi-squared (χ2). A positive signal was detected if PRR > 2 and χ2 > 4 for any drug-event pair. No positive signals were observed between GLP1-RAs and either suicide, hair loss, or aspiration risks. Semaglutide [ROR = 0.60 (0.51-0.71)] and liraglutide [ROR = 0.28 (0.23-0.35)] had higher suicidal events than DPP4is and SGLT2is. GLP1-RAs were the most reported class with hair loss [ROR = 0.61 (0.60-0.64)], and semaglutide, liraglutide, and dulaglutide were the three leading medications. GLP1-RAs ranked lower with aspiration events, which were led by sitagliptin and DPP4is as a group. GLP1-RAs exhibit higher reporting of suicide, hair loss, and aspiration events when compared to several other antidiabetic medications despite not meeting the criteria for positive signals yet. This warrants intensive monitoring and reporting.

Tumor lysis syndrome signal with the combination of encorafenib and binimetinib for malignant melanoma: a pharmacovigilance study using data from the FAERS database.

To investigate the potential association between tumor lysis syndrome (TLS) and drugs for the treatment of malignant melanoma (MM). Reports of TLS recorded in the FDA Adverse Event Reporting System (FAERS) (January 2004-2023q3) were identified. Demographic and clinical characteristics were described, and disproportionality signals were assessed through the Reporting Odds Ratio (ROR) and Information Component (IC). The latency of TLS with anticancer drugs was described based on parametric models. Subgroup analysis was conducted to explore the differences of TLS signals in different age and sex. We found 5 (1.49%), 59 (17.61%), 79 (23.58%), 19 (5.67%), 13 (3.88%), 13 (3.88%), 33 (9.85%), 49 (14.63%), 16 (4.78%) TLS reports with pembrolizumab, nivolumab, ipilimumab, dabrafenib, vemurafenib, dacarbazine, "encorafenib and binimetinib", "nivolumab and ipilimumab", "dabrafenib and trametinib", respectively. The combination of encorafenib and binimetinib showed the strongest signal of TLS (IC025 = 3.98). The median days of latency of TLS with combination of encorafenib and binimetinib is 2days, which was much shorter than nivolumab (22.0days) and ipilimumab (21.5days). TLS cases associated with drugs for MM were predominantly recorded in females and aged 25-65years. After excluding confounding factors such as pre-existing diseases and co-treated drugs, the disproportionate signal of TLS with "encorafenib and binimetinib" remained strong. Stronger disproportionate signal of TLS was detected in MM patients using the combination of encorafenib and binimetinib than other drugs. Further research is needed to investigate the underlying mechanisms and identify patient-related predisposing factors to support safe prescribing of the combination of encorafenib and binimetinib.

Toxicity profiles associated with EGFR-TKIs combined with angiogenesis inhibitors in non-small cell lung cancer: an epidemiological surveillance analysis of the FDA adverse event reporting system

ABSTRACT Background Ongoing studies are evaluating the efficacy and toxicity profiles of combining epidermal growth factor receptor inhibitors (EGFR-TKIs) with antiangiogenic agents in non-small cell lung cancer (NSCLC). However, the complete toxicity profiles remain elusive. Research design and methods This study conducted an extensive pharmacovigilance analysis utilizing the FDA Adverse Event Reporting System database. The analysis focused on identifying and characterizing adverse events (AEs) associated with the concurrent use of EGFR-TKIs and antiangiogenic inhibitors in patients with NSCLC. Results The study identified significant occurrences of AEs linked to the combination therapy, particularly impacting general disorders, skin and subcutaneous tissue conditions, and vascular disorders. Frequently reported AEs included rash, diarrhea, fatigue, nausea, decreased appetite, and anemia. Notably, the combination of EGFR-TKIs with antiangiogenic inhibitors resulted in an increased incidence of AEs across multiple organ systems compared to EGFR-TKIs alone, with some adverse effects, such as anemia, arrhythmia, and ulcerative keratitis, persisting beyond one year in a subset of patients. Conclusions The combination of EGFR-TKIs and antiangiogenic inhibitors in NSCLC treatment presents a distinct and substantial AE profile, often with delayed onset. This finding underscores the necessity for rigorous and ongoing monitoring protocols to mitigate potential long-term adverse effects.

ORENITRAM’s decadal journey: unveiling safety profiles and adverse event through a real-world pharmacovigilance study of FAERS events

ABSTRACT Background ORENITRAM, an oral treprostinil formulation, was approved in 2013 for pulmonary arterial hypertension (PAH) treatment, necessitating ongoing safety monitoring. Research design and methods This retrospective analysis used FDA Adverse Event Reporting System data from Q4 2013 to Q4 2023, employing disproportionality analysis and the reporting odds ratio (ROR) to identify adverse events (AEs) linked with ORENITRAM. Results Out of 15,660,695 reports, ORENITRAM was the primary suspect in 10,125 cases. We identified 174 significant adverse events across 27 organ systems, with notable issues like pulmonary edema, ascites, and ventricular fibrillation. Females reported more AEs (75.6%) than males (24.0%), suggesting potential metabolic differences. AEs were most common within 30 days of starting treatment or after one year. Conclusions The study indicates significant safety issues with ORENITRAM, including serious unexpected events such as pulmonary edema, ascites, and ventricular fibrillation. These findings highlight the necessity for careful clinical monitoring and effective risk management, particularly with observed gender differences in AE profiles. The study’s retrospective nature and reliance on spontaneous reports may affect result generalizability.

Safety assessment of basiliximab using real-world adverse event data from the FDA Adverse Event Reporting System Database: A retrospective observational study.

This study analyzed adverse drug events (ADEs) associated with basiliximab, sourced from the Food and Drug Administration Adverse Event Reporting System (FAERS) database, spanning the first quarter of 2004 to the fourth quarter of 2023. We collected ADE data for basiliximab from 2004 Q1 to 2023 Q4. After standardization, we employed several signal quantification methods for analysis, such as the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propensity for Neural Networks (BCPNN), and empirical bayes geometric mean (EBGM). In this analysis of 1520 ADEs reports citing basiliximab as the primary suspect, we identified 295 preferred terms across 24 system organ classifications (SOCs). The 3 most prevalent SOCs were investigated (n = 1403, ROR 2.84, PRR 2.54, IC 1.34, EBGM 2.54), infections and infestations (n = 1198, ROR 2.85, PRR 2.59, IC 1.37, EBGM 2.59), and renal and urinary disorders (n = 903, ROR 6.01, PRR 5.48, IC 2.45, EBGM 5.47). Increased blood creatinine and pyrexia were the most frequently reported adverse events (AEs) associated with basiliximab, and cytomegalovirus infection also demonstrated significant signal intensity. Notably, this study revealed some adverse reactions beyond basiliximab drug instructions, such as mitral valve calcification, diastolic dysfunction, pelvic fluid collection, testicular swelling, soft tissue necrosis, and muscle necrosis. Although basiliximab offers therapeutic benefits, it carries the risk of several adverse reactions. Clinicians should monitor patients for signs of increased serum creatinine level, fever, cytomegalovirus infection, anaphylactic shock, mitral valve calcification, diastolic dysfunction, pelvic fluid collection, testicular swelling, soft tissue necrosis, muscle necrosis, and other events during clinical use.

Insights from pharmacovigilance and pharmacodynamics on cardiovascular safety signals of NSAIDs.

Non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to treat fever, pain, and inflammation. Concerns regarding their cardiovascular safety have been raised. However, the underlying mechanism behind these events remains unknown. We aim to investigate the cardiovascular safety signals and receptor mechanisms of NSAIDs, employing a comprehensive approach that integrates pharmacovigilance and pharmacodynamics. This study utilized a pharmacovigilance-pharmacodynamic approach to evaluate the cardiovascular safety of NSAIDs and explore potential receptor mechanisms involved. Data were analyzed using the OpenVigil 2.1 web application, which grants access to the FDA Adverse Event Reporting System (FAERS) database, in conjunction with the BindingDB database, which provides target information on the pharmacodynamic properties of NSAIDs. Disproportionality analysis employing the Empirical Bayes Geometric Mean (EBGM) and Reporting Odds Ratio (ROR) methods was conducted to identify signals for reporting cardiovascular-related adverse drug events (ADEs) associated with 13 NSAIDs. This analysis encompassed three System Organ Classes (SOCs) associated with the cardiovascular system: blood and lymphatic system disorders, cardiac disorders, and vascular disorders. The primary targets were identified through the receptor-NSAID interaction network. Ordinary least squares (OLS) regression models explored the relationship between pharmacovigilance signals and receptor occupancy rate. A total of 201,231 reports of cardiovascular-related ADEs were identified among the 13 NSAIDs. Dizziness, anemia, and hypertension were the most frequently reported Preferred Terms (PTs). Overall, nimesulide and parecoxib exhibited the strongest signal strengths of ADEs at SOC levels related to the cardiovascular system. On the other hand, our data presented naproxen and diclofenac as drugs of comparatively low signal strength. Cyclooxygenase-1 (COX-1) and cyclooxygenase-2 (COX-2) were identified as central targets. OLS regression analysis revealed that the normalized occupancy rate for either COX-1 or COX-2 was significantly inversely correlated with the log-transformed signal measures for blood and lymphatic system disorders and vascular disorders, and positively correlated with cardiac disorders and vascular disorders, respectively. This suggests that higher COX-2 receptor occupancy is associated with an increased cardiovascular risk from NSAIDs. Cardiovascular safety of NSAIDs may depend on pharmacodynamic properties, specifically, the percentage of the occupied cyclooxygenase isoenzymes. More studies are needed to explore these relations and improve the prescription process.

Signal mining of adverse events of proteasome inhibitors in multiple myeloma based on FAERS.

To mine and analyze adverse events (AEs) related to proteasome inhibitors in multiple myeloma based on the FDA Adverse Event Reporting System (FAERS), providing references for rational clinical medication. AE data related to multiple myeloma proteasome inhibitors were collected from the FAERS from the first quarter of 2010 to the first quarter of 2024. Signal mining of AEs was conducted using the reporting odds ratio method and Bayesian confidence propagation neural network method. A total of 8,805 reports for bortezomib, 5,264 for carfilzomib, and 8,771 for ixazomib were collected, with corresponding AE signals of 474, 279, and 287, respectively, involving 23, 21, and 22 System Organ Classes (SOCs). The report information for the three drugs tended to be consistent: more cases were reported in males than in females; the majority of patients were 65 years and over; AEs mostly occurred within 6months of medication; the outcomes primarily consisted of hospitalization, prolonged hospital stay, and other serious adverse events; the primary reporting country was the United States. The most affected SOCs were infections and infestations, general disorders and administration site conditions, and blood and lymphatic system disorders. The overall distribution of AEs for the three multiple myeloma proteasome inhibitors was consistent, but there were certain differences in specific AE signal characteristics, which should be noted in clinical applications.

Safety assessment of anti-B cell maturation antigen chimeric antigen receptor T cell therapy: a real-world study based on the FDA adverse event reporting system database.

On April 18, 2024, the U.S. Food and Drug Administration officially required updating of the "boxed warning" for T cell malignancies for all chimeric antigen receptor T cell (CAR-T) therapies. Given the clinical significance of these therapies, a rigorous safety assessment is paramount. However, comprehensive real-world safety studies have been lacking for the newly marketed CAR-T products idecabtagene vicleucel (ide-cel) and ciltacabtagene autoleucel (cilta-cel), which target B cell maturation antigen, especially regarding the risk of secondary malignancies. Therefore, we aimed to thoroughly analyze the adverse events (AEs) information in the FDA Adverse Event Reporting System (FAERS) database to comprehensively understand the safety risks of ide-cel and cilta-cel. We extracted AE reports related to ide-cel and cilta-cel from the FAERS database (https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html.) from January 1, 2019 to December 31, 2023. Disproportionality analysis and Bayesian analysis were used to identify risk signals across subgroups and specific cases (including for death and secondary malignancies). Weibull distribution analysis was employed to determine the time to AE onset. A total of 695 AE reports for ide-cel and 848 for cilta-cel were included in the FAERS database. This analysis identified 81 positive signals for ide-cel and 74 for cilta-cel. Notably, comparisons with the drug labels revealed "unexpected signals," including febrile bone marrow aplasia (reporting odds ratio=69.10; confidence interval 39.12-122.03) and plasma cell myeloma (12.45; 8.18-18.95) for ide-cel, and increased serum ferritin (24.98; 8.0-77.58) and large intestine perforation (18.57; 5.98-57.69) for cilta-cel. Both drugs showed a higher AE incidence among male recipients and patients aged ≥65 years, although female recipients faced a greater risk. Most AEs occurred at the early stage of administration. However, secondary malignancies were detected for both drugs, primarily occurring one-year post-administration. This study provides a foundation for understanding the safety profile of CAR-T cell therapy, particularly in relation to the emergence of secondary malignancies. Such insights are helpful for clinical decision-making and the safe and effective utilization of these therapeutic agents.

Exploring the top 30 drugs associated with drug-induced constipation based on the FDA adverse event reporting system.

This project aims to identify the top 30 drugs most commonly associated with constipation and their signal values within the FDA Adverse Event Reporting System database. We extracted adverse drug events (ADEs) related to constipation from the FAERS database spanning from January 1, 2004, to September 30, 2023. We compiled the 30 most frequently reported drugs based on the frequency of constipation events. We employed signal detection methodologies to ascertain whether these drugs elicited significant signals, including reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and information component given by the Bayesian confidence propagation neural network. Furthermore, we conducted a time-to-onset (TTO) analysis for drugs generating significant signals using the medians, quartiles, and the Weibull shape parameter test. We extracted a total of 50, 659, 288 ADEs, among which 169,897 (0.34%) were related to constipation. We selected and ranked the top 30 drugs. The drug with the highest ranking was lenalidomide (7,730 cases, 4.55%), with the most prevalent drug class being antineoplastic and immunomodulating agents. Signal detection was performed for the 30 drugs, with constipation risk signals identified for 26 of them. Among the 26 drugs, 22 exhibited constipation signals consistent with those listed on the FDA-approved drug labels. However, four drugs (orlistat, nintedanib, palbociclib, and dimethyl fumarate) presented an unexpected risk of constipation. Ranked by signal values, sevelamer carbonate emerged as the drug with the strongest risk signal [reporting odds ratio (95% CI): 115.51 (110.14, 121.15); PRR (χ2): 83.78 (191,709.73); EBGM (EB05): 82.63 (79.4); IC (IC025): 6.37 (4.70)]. A TTO analysis was conducted for the 26 drugs that generated risk signals, revealing that all drugs exhibited an early failure type. The median TTO for orlistat was 3days, the shortest of all the drugs, while the median TTO for clozapine was 1,065days, the longest of all the drugs. Our study provides a list of drugs potentially associated with drug-induced constipation (DIC). This could potentially inform clinicians about some alternative medications to consider when managing secondary causes of constipation or caring for patients prone to DIC, thereby reducing the incidence and mortality associated with DIC.