The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration

Drug-associated congenital anomalies of the external ear identified in the United States food and drug administration adverse event reporting system database

Congenital anomalies of the external ear can have a significant impact on a child's development and quality of life. While genetic factors play a crucial role in the etiology of these anomalies, environmental factors such as drug exposure during pregnancy may also contribute to their occurrence. This study aims to investigate the association between drug exposure and congenital anomalies of the external ear using data from an adverse drug reaction report database. Using OpenVigil 2.1, we queried the FAERS database to retrieve adverse event reports from the first quarter of 2004 to the first quarter of 2024. To identify relevant cases, we used Medical Dictionary for Regulatory Activities terms focusing on congenital anomalies of the external ear. Drug generic names were sourced from the DrugBank database. To assess safety signals and rank drugs by their signal strength, we conducted a disproportionality analysis, generating reporting odds ratios (ROR) and proportional reporting ratios (PRR). A total of 20,754,281 AE reports were identified in the FAERS database from Q1 2004 to Q1 2024, of which 1763 were related to congenital anomalies of the external ear. Valproic acid (122 cases) was associated with the most cases, followed by mycophenolate mofetil (105 cases) and lamotrigine (65 cases). According to the disproportionality analysis, the top five drugs with the highest ROR and PRR were primidone (ROR: 397.05, 95% CI 147.21, 1070.9; PRR: 388.71, 95% CI 145.89, 1035.7), valproic acid (ROR: 239.46, 95% CI 123.75, 463.37; PRR: 236.42, 95% CI 123.82, 451.43), tapazole (ROR: 198.35, 95% CI 63.49, 619.67; PRR: 196.25, 95% CI 62.97, 611.67), nevirapine (ROR: 138.24, 95% CI 82.9, 230.51; PRR: 137.23, 95% CI 82.44, 228.44), and sebivo (ROR: 117.1, 95% CI 48.51, 282.67; PRR: 116.37, 95% CI 48.17, 281.12). This study identified several drugs significantly associated with congenital anomalies of the external ear in the FAERS database using disproportionality analysis. The findings can help healthcare professionals better recognize and manage drug-induced congenital anomalies of the external ear, particularly when prescribing high-risk medications. Further research is needed to elucidate the mechanisms underlying these associations and develop strategies for preventing and mitigating drug-induced congenital anomalies of the external ear.

Signal detection of drugs associated with obstructive and central sleep apnoea

We aim to discover new safety signals of drug-induced sleep apnoea (SA), a global health problem affecting approximately 1 billion people worldwide. We first conducted a series of sequence symmetry analyses (SSA) in a cohort composed from all patients who received a first SA diagnosis or treatment between 2006 and 2018 in the Echantillon Généraliste des Bénéficaires (EGB), a random sample of the French healthcare database. We used two primary outcomes to estimate the sequence ratio (SR) for all drug classes available in France: a sensitive one (diagnosis or treatment of SA) and a specific one (Positive Airway Pressure (PAP) therapy). We then performed disproportionality analyses using the "Bayesian neural network method" on all cases of sleep apnoea (MedDRA high level term) reported up to November 2023 in the World Health Organisation (WHO) pharmacovigilance database. Among the 728,167 individuals, 46,193 had an incident diagnosis or treatment for SA and 17,080 had started an incident treatment by PAP therapy. Fifty-eight drug classes had a significant SR, with 7 considered highly plausible: opium alkaloids and derivatives, benzodiazepine derivatives, other centrally acting agents, other anxiolytics, carbamic acid esters, quinine and derivatives and antivertigo preparations; with consistent signals found for the first 3 drug classes in the disproportionality analysis. In this signal detection study, we found that opioids, benzodiazepines (but not Z-drugs) and myorelaxing agents are associated with the onset or aggravation of SA. Moreover, a new safety signal for antivertigo preparations such as betahistine emerged and needs to be further explored.

Pregnancy related adverse events and congenital disorders associated with fluoroquinolones: A real-world pharmacovigilance study of the FDA adverse event reporting system (FAERS)

Background

Fluoroquinolones, including ciprofloxacin, levofloxacin, and moxifloxacin, are extensively employed as broad-spectrum antibacterial agents. However, their use is discouraged during pregnancy due to potential adverse events (AEs). The aim of this study is to systematically investigate the association between fluoroquinolones (specifically ciprofloxacin, levofloxacin, and moxifloxacin) and AEs related to pregnancy, as well as their potential impact on congenital disorders.

Methods

A disproportionality analysis was conducted utilizing FDA Adverse Event Reporting System (FAERS) data spanning from the first quarter of 2004 to September 2023. The objective was to identify potential AEs signatures associated with fluoroquinolones through conducting reporting odds ratios (RORs) and Bayesian confidence propagation neural networks (BCPNN). Assessing the potential risk of pregnancy-associated AEs involved comparing each fluoroquinolone with all other medications. Additionally, in-depth comparative analyses were carried out between various fluoroquinolones and a reference drug (azithromycin).

Results

A total of 1159 cases were identified, involving AEs related to pregnancy and congenital disorders. Obvious disproportionate association of abortion spontaneous and other nine AEs was identified for fluoroquinolone during gestation. Upon comparison with all the other drugs, ciprofloxacin exhibited an elevated risk of spontaneous abortion, non-site specific bone disorders congenital and 10 other significant signals. Levofloxacin demonstrated an increased risk of congenital tongue disorders and three other significant signals. Moxifloxacin displayed a noteworthy signal indicating multiple congenital cardiac abnormalities.

Conclusions

We present compelling evidence regarding pregnancy-related AEs and congenital disorders linked to fluoroquinolones. Considering perinatal and genotoxicity aspects, we explore whether levofloxacin or moxifloxacin might be preferable when fluoroquinolones are deemed necessary to balance the benefits of pregnant women and fetuses.

A disproportionality analysis of sunitinib in the FDA adverse event reporting system (FAERS)

Objective

This study aimed to analyze the FAERS database to identify adverse event associated with sunitinib to offer valuable insights for the judicious utilization of medication in clinical settings.

Methods

Various disproportionality analysis techniques, such as the reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPN), and multi-gamma Poisson shrinkage (MGPS), were employed to analyze adverse drug reaction (ADR) reports pertaining to sunitinib in the FAERS database from its market introduction up to the first quarter of 2023. Subsequently, a secondary screening process was conducted to identify reliable positive signals.

Results

The analysis of sunitinib adverse event signals at the system-organ classification level encompassed 27 organ systems, with gastrointestinal and endocrine disorders emerging as the predominant SOCs. A total of 237 significant adverse events meeting all four algorithms were detected. Notably, this study revealed previously unreported adverse events, including pleural effusion and ascites, while potential adrenal toxicity-related adverse events, highlighted in the drug's specification, were not identified in this analysis. The study examined the relationship between the duration of sunitinib dosing and the onset of adverse events, revealing a median onset of 48 days (IQR, 15-160 days). The findings indicated that a majority of adverse events manifested early in the dosing period, with tumor progression, disease progression, and mortality becoming more prevalent after one year of treatment.

Conclusion

In the clinical utilization of sunitinib, vigilant monitoring of potential adverse reactions is imperative during the initial phase of drug administration. In addition to the documented adverse reactions outlined in the drug specification, healthcare providers should remain attentive to potential adverse reactions such as pleural effusion, ascites, and tumor development.

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

BACKGROUND

Numerous 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.

METHODS

We 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.

RESULTS

Among 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.

CONCLUSIONS

Tirzepatide 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.

Clozapine may consistently protect from suicidal behaviors while other antipsychotics may lack a specific protective effect: a comprehensive VigiBase study interpreted in the context of the prior literature

BACKGROUND

In the United States, clozapine was first approved for treatment-resistant schizophrenia and then for suicidality in schizophrenia psychoses. Systematic reviews support clozapine's anti-suicidal effect, but the forensic literature stresses its lethality during overdoses.

RESEARCH DESIGN AND METHODS

Clozapine reports to the international pharmacovigilance database (VigiBase) were analyzed for suicidal ideation, suicide attempts, intentional overdose, and completed suicides from introduction to 1 January 2024. VigiBase uses the information component (IC) as a disproportionality analysis.

RESULTS

The clozapine ICs (range: other antipsychotics) were: 1) suicidal ideation IC = 0.570 with IC025 = 0.454 to IC975 = 0.680 (IC = 3.568 for aripiprazole and 1.729 for risperidone), 2) suicide attempt IC = 1.428 with IC025 = 1.323 to IC975 = 1.529 (IC = 4.150 for quetiapine and 2.968 for risperidone), 3) intentional overdose: IC = 0.995 with IC025 = 0.864 to IC975 = 1.120 (IC = 4.080 for quetiapine and 1.957 for aripiprazole), and 4) completed suicide IC = 1.133 with IC025 = 1.026 to IC975 = 1.235 (IC = 4.648 for quetiapine and 2.160 for risperidone). In summary, all clozapine ICs were significantly lower. We found 2391 clozapine-treated patients on the suicidality spectrum (627 cases with suicidal ideation, 752 with suicide attempt, 488 with intentional overdose, and 731 with completed suicide) but many were taking other antipsychotics. The most frequent reporting countries were the United States, the United Kingdom, and Croatia.

CONCLUSION

This pharmacovigilance study, with all its inherent limitations, provides independent proof, not overlapping with prior literature, that clozapine may have specific strong anti-suicidal effects that do not appear to be present in other antipsychotics. Further VigiBase studies are needed to compare the lethality of an intentional overdose of clozapine (14.3%) with other antipsychotics.

Disproportionality Analysis From World Health Organization Data on Semaglutide, Liraglutide, and Suicidality

Importance

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have gained use primarily due to their weight-reduction effects, although a regulatory review was undertaken for potential suicidality concern.

Objectives

To evaluate potential signals for suicidal and self-injurious adverse drug reactions (ADRs) associated with the GLP-1 RAs semaglutide and liraglutide.

Design, Setting, and Participants

Disproportionality analysis through the case-control design using the World Health Organization (WHO) global database of suspected ADRs. Participants were clinical patients worldwide experiencing an ADR suspectedly attributable to semaglutide or liraglutide in the database from inception to August 30, 2023. Data were analyzed from September to December 2023.

Exposure

Treatment with semaglutide or liraglutide regardless of indication or treatment duration.

Main Outcomes and Measures

Reporting odds ratio (ROR) and the bayesian information component (IC) with 95% CIs were calculated as measures of disproportionate reporting of suicidal and self-injurious ADRs associated with semaglutide and liraglutide compared with all other medications. Sensitivity analyses were conducted including patients with coreported use of antidepressants and benzodiazepines and using dapagliflozin, metformin, and orlistat as comparators. A disproportionality signal was considered when the lower limits of the ROR and IC were above 1 and 0, respectively.

Results

A total of 107 (median [IQR] age 48 [40-56] years; 59 female patients [55%]) and 162 (median [IQR] age 47 [38-60] years; 100 female patients [61%]) cases of suicidal and/or self-injurious ADRs were reported between November 2000 and August 2023 with semaglutide and liraglutide, respectively. Significant disproportionality was detected only for semaglutide-associated suicidal ideation (ROR, 1.45; 95% CI, 1.18-1.77; IC, 0.53; 95% CI, 0.19-0.78), which remained significant in patients with coreported use of antidepressants (ROR, 4.45; 95% CI, 2.52-7.86; IC, 1.96; 95% CI, 0.98-2.63) and benzodiazepines (ROR, 4.07; 95% CI, 1.69-9.82; IC, 1.67; 95% CI, 0.11-2.65), when compared with dapagliflozin (ROR, 5.56; 95% CI, 3.23-9.60; IC, 0.70; 95% CI, 0.36-0.95), metformin (ROR, 3.86; 95% CI, 2.91-5.12; IC, 1.20; 95% CI, 0.94-1.53) and orlistat (ROR, 4.24; 95% CI, 2.69-6.69; IC, 0.70; 95% CI, 0.36-0.95).

Conclusions and Relevance

This study using the WHO database found a signal of semaglutide-associated suicidal ideation, which warrants urgent clarification.

The evolving role of disproportionality analysis in pharmacovigilance

INTRODUCTION

From 2009 to 2015, the IMI PROTECT conducted rigorous studies addressing questions about optimal implementation and significance of disproportionality analyses, leading to the development of Good Signal Detection Practices. The ensuing period witnessed the independent exploration of research paths proposed by IMI PROTECT, accumulating valuable experience and insights that have yet to be seamlessly integrated.

AREAS COVERED

This state-of-the-art review integrates IMI PROTECT recommendations with recent acquisitions and evolving challenges. It deals with defining the object of study, disproportionality methods, subgrouping, masking, drug-drug interaction, duplication, expectedness, the debated use of disproportionality results as risk measures, integration with other types of data.

EXPERT OPINION

Despite the ongoing skepticism regarding the usefulness of disproportionality analyses and individual case safety reports, their ability to timely detect safety signals regarding rare and unpredictable adverse reactions remains unparalleled. Moreover, recent exploration into their potential for characterizing safety signals revealed valuable insights concerning potential risk factors and the patient's perspective. To fully realize their potential beyond hypothesis generation and achieve a comprehensive evidence synthesis with other kinds of data and studies, each with their unique limitations and contributions, we need to investigate methods for more transparently communicating disproportionality results and mapping and addressing pharmacovigilance biases.

Adverse events related to neuromuscular blocking agents: a disproportionality analysis of the FDA adverse event reporting system

Background: Neuromuscular blocking agents (NMBAs) are primarily used during surgical procedures to facilitate endotracheal intubation and optimize surgical conditions. This study aimed to explore the adverse event signals of NMBAs, providing reference for clinical safety. Methods: This study collected reports of atracurium, cisatracurium, rocuronium, and vecuronium as primary suspect drugs in The US Food and Drug Administration Adverse Event Reporting System (FAERS) from the first quarter of 2004 to the third quarter of 2023. The adverse events (AEs) reported in the study were retrieved based on the Preferred Terms (PTs) of the Medical Dictionary for Regulatory Activities. In addition, we conducted disproportionality analysis on relevant reports using the reporting odds ratio (ROR) method and Bayesian confidence propagation neural network (BCPNN) method. A positive signal was generated when both algorithms show an association between the target drug and the AE. Results: A total of 11,518 NMBA-related AEs were reported in the FAERS database. The most AEs of rocuronium were collected. NMBA-related AEs involved 27 different system organs (SOCs), all of the four NMBAs had positive signals in "cardiac disorders," "immune system disorders," "respiratory, thoracic and mediastinal disorders" and "vascular disorders." At the PTs level, a total of 523 effective AEs signals were obtained for the four NMBAs. AEs labled in the instructions such as anaphylaxis (include anaphylactic reaction and anaphylactic shock), bronchospasm, respiratory arrest and hypotension were detected positive signals among all NMBAs. In addition, we also found some new AEs, such as ventricular fibrillation for the four NMBAs, hyperglycaemia for atracurium, kounis syndrome and stress cardiomyopathy for rocuronium, hepatocellular injury for cisatracurium, hyperkalaemia for vecuronium. To further investigated the AEs associated with serious clinical outcomes, we found that cardiac arrest and anaphylaxis were the important risk factors for death due to NMBAs. Conclusion: NMBA-related AEs have a significant potential to cause clinically severe consequences. Our study provides valuable references for the safety profile of NMBAs, and considering the limitations of the FAERS database, further clinical data are needed to validate the findings of this study.

Evaluating drug withdrawal syndrome risks through food and drug administration adverse event reporting system: a comprehensive disproportionality analysis

Objective

The study aims to identify the drugs associated with drug withdrawal syndrome in the Food and Drug Administration Adverse Event Reporting System (FAERS) and estimate their risks of causing withdrawal syndrome.

Methods

All the data were collected from FAERS from the first quarter of 2004 to the third quarter of 2023. Disproportionality analyses of odds ratio (ROR) and proportional reported ratio were conducted to identify potential adverse effects signal of drug withdrawal syndrome.

Results

A total of 94,370 reports related to withdrawal syndrome from the data. The top 50 drugs with most frequency reported were analyzed, and 29 exhibited a positive signal based on the number of reports. The top three categories of drugs with positive signals included opioids, antidepressant drugs and antianxiety drugs. Other classifications included opioid antagonist, muscle relaxant, antiepileptic drugs, analgesics, hypnotic sedative drugs and antipsychotic drugs.

Conclusion

Our analysis of FAERS data yielded a comprehensive list of drugs associated with withdrawal syndrome. This information is vital for healthcare professionals, including doctors and pharmacists, as it aids in better recognition and management of withdrawal symptoms in patients undergoing treatment with these medications.

The Reporting of a Disproportionality Analysis for Drug Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Development and Statement

BACKGROUND AND AIM

Disproportionality analyses using reports of suspected adverse drug reactions are the most commonly used quantitative methods for detecting safety signals in pharmacovigilance. However, their methods and results are generally poorly reported in published articles and existing guidelines do not capture the specific features of disproportionality analyses. We here describe the development of a guideline (REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance [READUS-PV]) for reporting the results of disproportionality analyses in articles and abstracts.

METHODS

We established a group of 34 international experts from universities, the pharmaceutical industry, and regulatory agencies, with expertise in pharmacovigilance, disproportionality analyses, and assessment of safety signals. We followed a three-step process to develop the checklist: (1) an open-text survey to generate a first list of items; (2) an online Delphi method to select and rephrase the most important items; (3) a final online consensus meeting.

RESULTS

Among the panel members, 33 experts responded to round 1 and 30 to round 2 of the Delphi and 25 participated to the consensus meeting. Overall, 60 recommendations for the main body of the manuscript and 13 recommendations for the abstracts were retained by participants after the Delphi method. After merging of some items together and the online consensus meeting, the READUS-PV guidelines comprise a checklist of 32 recommendations, in 14 items, for the reporting of disproportionality analyses in the main body text and four items, comprising 12 recommendations, for abstracts.

CONCLUSIONS

The READUS-PV guidelines will support authors, editors, peer-reviewers, and users of disproportionality analyses using individual case safety report databases. Adopting these guidelines will lead to more transparent, comprehensive, and accurate reporting and interpretation of disproportionality analyses, facilitating the integration with other sources of evidence.