Identification of Substandard Medicines via Disproportionality Analysis of Individual Case Safety Reports

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

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 drug events associated with linezolid administration: a real-world pharmacovigilance study from 2004 to 2023 using the FAERS database

Introduction: Linezolid is an oxazolidinone antibiotic that is active against drug-resistant Gram-positive bacteria and multidrug-resistant Mycobacterium tuberculosis. Real-world studies on the safety of linezolid in large populations are lacking. This study aimed to determine the adverse events associated with linezolid in real-world settings by analyzing data from the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). Methods: We retrospectively extracted reports on adverse drug events (ADEs) from the FAERS database from the first quarter of 2004 to that of 2023. By using disproportionality analysis including reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), along with the multi-item gamma Poisson shrinker (MGPS), we evaluated whether there was a significant association between linezolid and ADE. The time to onset of ADE was further analyzed in the general population and within each age, weight, reporting population, and weight subgroups. Results: A total of 11,176 reports of linezolid as the "primary suspected" drug and 263 significant adverse events of linezolid were identified, including some common adverse events such as thrombocytopenia (n = 1,139, ROR 21.98), anaemia (n = 704, ROR 7.39), and unexpected signals that were not listed on the drug label such as rhabdomyolysis (n = 90, ROR 4.33), and electrocardiogram QT prolonged (n = 73, ROR 4.07). Linezolid-induced adverse reactions involved 27 System Organ Class (SOC). Gender differences existed in ADE signals related to linezolid. The median onset time of all ADEs was 6 days, and most ADEs (n = 3,778) occurred within the first month of linezolid use but some may continue to occur even after a year of treatment (n = 46). Conclusion: This study reports the time to onset of adverse effects in detail at the levels of SOC and specific preferred term (PT). The results of our study provide valuable insights for optimizing the use of linezolid and reducing potential side effects, expected to facilitate the safe use of linezolid in clinical settings.

A pharmacovigilance study of etoposide in the FDA adverse event reporting system (FAERS) database, what does the real world say?

Introduction: Etoposide is a broad-spectrum antitumor drug that has been extensively studied in clinical trials. However, limited information is available regarding its real-world adverse reactions. Therefore, this study aimed to assess and evaluate etoposide-related adverse events in a real-world setting by using data mining method on the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database. Methods: Through the analysis of 16,134,686 reports in the FAERS database, a total of 9,892 reports of etoposide-related adverse drug events (ADEs) were identified. To determine the significance of these ADEs, various disproportionality analysis algorithms were applied, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) algorithms. Results: As a result, 478 significant disproportionality preferred terms (PTs) that were identified by all four algorithms were retained. These PTs included commonly reported adverse events such as thrombocytopenia, leukopenia, anemia, stomatitis, and pneumonitis, which align with those documented in the drug's instructions and previous clinical trials. However, our analysis also uncovered unexpected and significant ADEs, including thrombotic microangiopathy, ototoxicity, second primary malignancy, nephropathy toxic, and ovarian failure. Furthermore, we examined the time-to-onset (TTO) of these ADEs using the Weibull distribution test and found that the median TTO for etoposide-associated ADEs was 10 days (interquartile range [IQR] 2-32 days). The majority of cases occurred within the first month (73.8%) after etoposide administration. Additionally, our analysis revealed specific high-risk signals for males, such as pneumonia and cardiac infarction, while females showed signals for drug resistance and ototoxicity. Discussion: These findings provide valuable insight into the occurrence of ADEs following etoposide initiation, which can potentially support clinical monitoring and risk identification efforts.

Detecting falsified oral contraceptives by visual assessment and diffuse reflectance spectroscopy (350–2500 nm): the need for supplementing traditional pharmacopeia techniques and the public health implications

Objectives

Substandard and falsified pharmaceuticals can present a major health risk, particularly for low- and middle-income countries. In a Sub-Saharan African market, United States Agency for International Development (USAID) staff found an oral contraceptive product (0.15 mg levonorgestrel/0.03 mg ethinyl estradiol) labeled with a logo (and brand name) visually matching one historically used by USAID but purportedly manufactured by an unauthorized source. Additional assessment was conducted to determine if more evidence of falsification was present to better understand the public health impact.

Study design

Relative to a control, the suspect sample was assessed visually for tablet features and with United States and International Pharmacopeia methods for levonorgestrel/ethinyl estradiol tablets. Diffuse reflectance spectra (350–2500 nm) were collected to further characterize the sample.

Results

Although the suspect sample aligned with pharmacopeia tests, visual examination of tablet characteristics and diffuse reflectance spectroscopy (350–2500 nm) assessments supported the tablets were not the same as control samples, confirming the suspect sample was falsified. These results raised concerns for the overall regulatory oversight available for the market with uncertainty regarding the true clinical bioequivalence levels (although adequate dissolution levels were observed).

Conclusions

Comprehensive characterization of suspect pharmaceuticals from the field can often be required depending on the nature of the sample and can have dramatic implications for understanding the public health risks to the end user within the local market. Simple visual assessment and spectroscopic techniques to screen a sample can help to supplement traditional pharmacopeia approaches.

Implications

Proper characterization of suspect pharmaceuticals is necessary to best understand their potential public health impact. Situations can occur where traditional pharmacopeial techniques may not adequately characterize a sample. Visual assessments and diffuse reflectance spectroscopy can be supplemented to provide a more holistic analysis.

Current challenges in the detection and analysis of falsified medicines

Falsified medicines affect public health all around the globe. Complex distribution routes, illegal online webshops and reuse of packaging materials make them hard to detect. In order to tackle this problem, detection methods for the recognition of suspicious medicines and subsequent confirmation of falsification by analytical techniques is required. In this review, we focus on the developments and challenges that existed in the last five years (2015-2020) in the detection and analysis of falsified medicines. These challenges might have not been solved yet or arisen with new types of falsifications, new analytical techniques or detection strategies. Detection of suspicious medicines starts with visual inspection of packaging materials. However, re-use of packaging materials and high-quality imitations complicate visual inspection. Recent developments in the analysis of packaging by microscopic and spectroscopic techniques such as optical microscopy, X-ray fluorescence, infrared spectroscopy and Raman spectroscopy or microscopy, in combination with multivariate analysis show promising results in the detection of falsified medicines. An ongoing big challenge in the analysis of falsified medicines is the affordability of analytical devices. Yet, recent reports showed that lower cost devices, such as Counterfeit Drug Indicator or Counterfeit Detection device version 3 show promising use in the detection of falsified medicines. Furthermore, combining the outcomes of different low-cost analytical techniques, such as Minilab, colorimetry and Counterfeit Drug Indicator significantly increased selectivity and sensitivity in the detection of falsified medicines. Also, recent developments make it possible to link a low-cost technique, such as TLC, to mobile phones. Proper training of personnel has shown room for improvement and remains a challenge, even for relatively simple techniques. With an increased use of analytical fingerprints, an upcoming challenge is the accessibility of the growing pool of data. There is also the need of validated reference libraries on both national and international levels. Developments of the last few years bring us a step closer in the fight against falsified medicines, however challenges remain in the worldwide accessibility of affordable, easily operable and sensitive techniques.

Drug-Induced Anaphylaxis in a Vietnamese Pharmacovigilance Database: Trends and Specific Signals from a Disproportionality Analysis

INTRODUCTION

Despite the numerous studies investigating drug-induced anaphylaxis (DIA), understanding and quantitative data analysis in developing countries remain limited. The aim of our study is to describe and quantify DIA using the National Pharmacovigilance Database of Vietnam (NPDV).

METHODS

Spontaneous reporting of adverse drug reactions (ADRs) recorded between 2010 and 2016 were retrospectively analysed to identify DIA reports. The trend and characteristics of DIA cases were described. Multivariate disproportionality analysis was used for signal generation.

RESULTS

Overall, 4873 DIA cases (13.2% of total ADRs) were recorded in the NPDV, 111 of which resulted in death (82% of total ADR-induced deaths) over a 7-year period. There was a remarkable increase in DIA reporting over time (p < 0.001). The incidence rates of DIA reporting per total ADRs and per 100,000 inhabitants remained high (mean rates [95% CI] of 12.06 [9.88-14.24] and 0.77 [0.33-1.20], respectively). Concerning suspected drugs, systemic antibiotics (n = 3318, 68%) were mostly reported with a reporting odds ratio (ROR) and 95% CI of 2.35 [2.20-2.51]. In the case of antibiotic-induced anaphylaxis, the third-generation cephalosporins were predominant (n = 1961, 40.2%, ROR 2.39 [2.24-2.55]). We also noted drugs generally associated with DIA such as contrast agents (ROR 2.43 [2.04-2.88]) and anaesthetics (ROR 4.02 [3.30-4.89]). Furthermore, unexpected signals were observed for alpha-chymotrypsin (ROR 1.75 [1.23-2.44]) and amoxicillin/sulbactam (ROR 1.59 [1.18-2.10]), uncommonly reported in western countries.

CONCLUSION

In recent years, cases of drug-induced DIA have increased in Vietnam, mostly due to antibiotics and third-generation cephalosporins. The inappropriate use of these drugs should be taken into account. Our findings also highlighted typical Vietnamese signals for alpha-chymotrypsin- and amoxicillin/sulbactam-induced anaphylaxis, which may relate to a specific sociological context in resource-limited countries.

Toxicities with Immune Checkpoint Inhibitors: Emerging Priorities From Disproportionality Analysis of the FDA Adverse Event Reporting System

BACKGROUND

Immune checkpoint inhibitors (ICIs), including antibodies targeting cytotoxic T-lymphocyte associated protein 4 (CTLA4) and programmed cell death 1 or its ligand (PD1/PDL1), elicit different immune-related adverse events (irAEs), but their global safety is incompletely characterized.

OBJECTIVE

The aim of this study was to characterize the spectrum, frequency, and clinical features of ICI-related adverse events (AEs) reported to the FDA Adverse Event Reporting System (FAERS).

PATIENTS AND METHODS

AEs from FAERS (up to June 2018) recording ICIs (ipilimumab, nivolumab, pembrolizumab, atezolizumab, avelumab, durvalumab) as suspect were extracted. Comprehensive disproportionality analyses were performed through the reporting odds ratio (ROR) with 95% confidence interval (95% CI), using other oncological drugs as comparison. An overview of systematic reviews (OoSRs) was also undertaken to identify irAEs with consistent positive associations.

RESULTS

ICIs were recorded in 47,266 reports, submitted mainly by consumers receiving monotherapy with anti-PD1/PDL1 drugs. Three areas of toxicity emerged from both disproportionality analysis and the OoSRs (32 studies): endocrine (N = 2863; ROR = 6.91; 95% CI 6.60-7.23), hepatobiliary (2632; 1.33; 1.28-1.39), and respiratory disorders (7240; 1.04; 1.01-1.06). Different reporting patterns emerged for anti-CTLA4 drugs (e.g., hypophysitis, adrenal insufficiency, hypopituitarism, and prescribed overdose) and anti-PD1/PDL1 agents (e.g., pneumonitis, cholangitis, vanishing bile duct syndrome, tumor pseudoprogression, and inappropriate schedule of drug administration). No increased reporting emerged when comparing combination with monotherapy regimens, but multiple hepatobiliary/endocrine/respiratory irAEs were recorded.

CONCLUSIONS

This parallel approach through contemporary post-marketing analysis and OoSRs confirmed that ICIs are associated with a multitude of irAEs, with different reporting patterns between anti-CTLA4 and anti-PD1/PDL1 medications. Close clinical monitoring is warranted to early diagnose and timely manage irAEs, especially respiratory, endocrine, and hepatic toxicities, which warrant further characterization; patient- and drug-related risk factors should be assessed through analytical pharmaco-epidemiological studies and prospective multicenter registries.