Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source

Association between CDK4/6 inhibitors and drug-related osteonecrosis of the jaw: A pharmacoepidemiological study using the FDA Adverse Events Reporting System

The most common toxicities associated with cyclin-dependent kinase (CDK) 4/6 inhibitor therapy include decreased leukopenia and neutropenia due to the inhibition of CDK6 of leukocyte and neutrophil precursors in bone marrow. These hematological toxicities are more commonly observed with palbociclib administration than with abemaciclib administration, which is approximately 13 times more selective against CDK4 than CDK6. Thus, even though both successfully inhibit CDK4/6, the side effects of palbociclib and abemaciclib differ due to differences in selectivity. Recent reports have suggested an association between palbociclib and medication-related osteonecrosis of the jaw; however, reports on this association are inconsistent. This study investigated the potential association of palbociclib and abemaciclib with MRONJ using the FAERS. Signals of "Osteonecrosis of jaw" were detected only in females using palbociclib (cROR025: 2.08). Other signals detected included stomatitis-related adverse events with abemaciclib and intraoral soft tissue damage and infection with palbociclib. As previous exploratory studies have reported MRONJ signals for bisphosphonates and denosumab, we calculated the aROR for palbociclib-induced osteonecrosis of the jaw using concomitant bisphosphonates and denosumab as covariates. A signal was detected even after adjusting for sex, age, and concomitant medications as covariates (aROR0025: 5.74). A proper understanding of the differences in CDK selectivity is necessary for the appropriate use of CDK4/6 inhibitors. To the best of our knowledge, this is the first report on CDK4/6 inhibitors and drug-related osteonecrosis of the jaw. We believe that these results will offer new insights into adverse events related to the use of CDK4/6 inhibitors, and may aid in the proper use of CDK4/6 inhibitors.

A safety signal for congenital strabismus associated with valproic acid: A pharmacovigilance analysis utilizing the FDA Adverse Event Reporting System database

This pharmacovigilance study investigated the relationship between antiepileptic drugs and congenital strabismus, utilizing the FDA Adverse Event Report System database between 2014 and 2023. Out of 28 347 889 reports of adverse events in 10 937 764 cases, we identified 1104 reports of strabismus and 67 of congenital strabismus. Valproic acid was the most frequently implicated primary suspect drug (95 and 14 cases, respectively). Ninety-five reports involved transplacental valproic acid exposure, yielding an information component (IC) of 7.06 (IC-2 × standard deviation: 5.50). A multivariate analysis showed that transplacental exposure to valproic acid correlated with strabismus (adjusted odds ratio: 8.47, 95% CI: 6.74-10.65). We revealed a robust safety signal linking valproic acid to congenital strabismus.

Comprehensive signal detection of delirium-associated medication using the Food and Drug Administration Adverse Event Reporting System

OBJECTIVE

Several medications are associated with delirium; however, studies with adequate statistical power are limited, and it is difficult to determine the effects of the various concomitant medications used in clinical practice. Therefore, in this study, we aimed to comprehensively evaluate the safety signals of delirium-associated drugs using a spontaneous adverse event reporting system.

METHOD

The JAPIC AERS (Food and Drug Administration Adverse Event Reporting System pre-processed by the Japan Pharmaceutical Information Center) was used for the analysis in this pharmacovigilance study. The reporting odds ratio (ROR) for delirium was adjusted for using multivariate logistic regression analysis with sex, age, indication, and melatonin receptor agonist use, and 22 drug categories were targeted as covariates.

RESULTS

After excluding patients with missing information, 7,527,568 patients were included in the study. Delirium signals were detected even after adjusting for covariates in 17 drug categories, including benzodiazepines (adjusted ROR, 1.76; 95% confidence interval [CI], 1.64-1.89), opioids (adjusted ROR, 4.42; 95% CI, 4.21-4.64), and tricyclic antidepressants (adjusted ROR, 2.44; 95% CI, 2.20-2.71).

CONCLUSIONS

These findings suggest that many drug classes, such as benzodiazepines, are independent risk factors for delirium and strengthen the evidence of an association between delirium and medications.

Adverse drug reactions of intravesical instillation therapy for bladder cancer: based on FDA adverse event reporting system

BACKGROUND

Intravesical chemotherapy and immunotherapy are common adjuvant treatments for non-muscle invasive bladder cancer post-surgery. Analyzing adverse events linked to these therapies, can assist in clinical decision-making and risk assessment.

STUDY DESIGN AND METHODS

Disproportionality analysis was conducted to analyze data from the Food and Drug Administration Adverse Event Reporting System database from the first quarter of 2004 to the first quarter of 2024, exploring potential positive signals between Bacillus Calmette-Guérin, mitomycin-C, epirubicin, gemcitabine, and adverse events.

RESULTS

The database retrieved 2018, 140, 31, and 85 adverse event reports associated with Bacillus Calmette-Guérin, mitomycin-C, epirubicin, and gemcitabine, respectively. Adverse reactions not mentioned in the label, such as aortic aneurysm and ocular congestion, were observed in preferred term level related to Bacillus Calmette-Guérin. Mitomycin-C exhibited specificity in skin and subcutaneous tissue diseases not reflected in the package insert. Gemcitabine-induced adverse drug reactions showed signals in vascular and lymphatic diseases meeting the screening criteria of all 4 indicators, with capillary leakage syndrome being the preferred term with the highest signal intensity.

CONCLUSION

This study observed new adverse event signals, providing important assistance for drug selection in adjuvant therapy for non-muscle invasive bladder cancer postoperatively.

Caveats of Covariate Adjustment in Disproportionality Analysis for Best Practices

Spontaneous reporting systems (SRS) provide valuable data for detecting unidentified adverse events not observed in clinical trials and for conducting safety assessments that accurately reflect real-world clinical practice. With the increasing number of publications using the SRS for disproportionality analysis (DA), there is an increasing demand for a comprehensive understanding of the research limitations associated with the SRS. However, there is a lack of understanding of the caveats associated with adjusting covariates in DA of the SRS. Herein, we summarized the use of covariate adjustment and its caveats in DA. The Council for International Organizations of Medical Sciences VIII suggests considering adjustments such as stratification when they can enhance the sensitivity and/or specificity of statistical analysis. However, several database-specific and statistical caveats have been identified when adjusting for covariates derived from the SRS. Disproportionality analysis may be affected not only by reporting bias at the time of enrollment but also by sparse-data bias due to variations in the number of enrollment reports. Statistical evidence is needed to determine in which cases and to what extent sensitivity and/or specificity are affected. Nevertheless, it is important for researchers to acknowledge that certain limitations discussed in this context may be inherent and cannot be rectified. Based on this understanding, they can then make an informed decision on whether to perform a covariate adjustment.

Comparative analysis of adverse events associated with CDK4/6 inhibitors based on FDA's adverse event reporting system: a case control pharmacovigilance study

BACKGROUND

Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors marked a milestone in the breast cancer treatment. Due to the potential impact of adverse effects on treatment decisions and patient outcomes, careful consideration of the varying toxicities of CDK4/6 inhibitors is crucial, as three inhibitors-palbociclib, abemaciclib, and ribociclib-have been approved with differences in adverse event profiles. However, limitations in clinical trials call for urgent real-world safety studies to evaluate and compare the risk of adverse events (AEs) among these CDK4/6 inhibitors. Therefore, this study aimed to analyze AEs of CDK4/6 inhibitors and provide insights for clinical drug selection, using real world database.

METHODS

The AEs of CDK4/6 inhibitors in the FDA Adverse Event Reporting System (2015-2022) were analyzed. Four disproportionality methods were used to detect safety signals: reporting odds ratio (ROR), proportional reporting ratio, Bayesian Confidence Neural Network Propagation, and Multi-Item Gamma Poisson Shrinker. Venn analysis was used to compare and select common and specific AEs.

RESULTS

This study included 73,042 patients treated with palbociclib, 25,142 with ribociclib, and 7563 with abemaciclib. All three inhibitors had 27 common AEs. Palbociclib exhibited the highest ROR for hematologic toxicities, while ribociclib showed the highest ROR for macrocytosis, nail disorders, and hepatic lesions. Abemaciclib displayed the highest ROR for mucosal toxicity. Common signals for both palbociclib and ribociclib included hematologic toxicities, decreased immune responsiveness, and aphthous ulcers. Myelosuppression, oral pain, and pseudocirrhosis were common signals for palbociclib and abemaciclib. Anemia, hepatotoxicity, and pneumonitis were observed as common signals for ribociclib and abemaciclib. Furthermore, specific AEs associated with palbociclib included fatigue, alopecia, and stomatitis. For ribociclib, specific AEs included electrocardiogram QT prolongation, thrombocytopenia, and decreased hemoglobin. Abemaciclib was specifically linked to diarrhea, vomiting, and interstitial lung disease.

CONCLUSION

Our analysis revealed that palbociclib showed a higher risk of hematologic toxicity. Ribociclib showed higher risks of hepatotoxicity, nephrotoxicity, and QT prolongation. Abemaciclib showed higher risks of hepatotoxicity, gastrointestinal effects, interstitial lung disease, and thrombosis. These findings provide valuable insights for CDK4/6 inhibitor selection.

Urinary tract infections and genital mycotic infections associated with SGLT‑2 inhibitors: an analysis of the FDA Adverse Event Reporting System

BACKGROUND

Sodium-glucose cotransporter-2 (SGLT-2) inhibitors are a class of antihyperglycemic agents, including canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin. Risk of urinary tract infections (UTIs) and genital mycotic infections (GMIs) associated with SGLT‑2 inhibitors is of great clinical significance. The study aimed to assess the association between SGLT-2 inhibitors and occurrences of UTIs and GMIs using the FDA Adverse Event Reporting System (FAERS) database.

METHODS

We used OpenVigil 2.1-MedDRA-v24 to query the FAERS database. Disproportionality analysis was performed to detect adverse event signals. Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR) were calculated to measure the disproportionality.

RESULTS

A total of 45,256 reports related to the use of SGLT-2 inhibitors, including 1,714 UTI cases and 438 GMI cases, were retrieved. Potential positive signals for UTIs and GMIs were identified for canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin in adult patients of all ages and both sexes.

CONCLUSIONS

Data mining in the FAERS database suggests strong association between SGLT-2 inhibitors and UTIs/GMIs. These findings provide real-world evidence on the potential risk of UTIs/GMIs related to SGLT-2 inhibitors.

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.

Relationship Between Melatonin Receptor Agonists and Parkinson's Disease

Parkinson's disease affects millions of people worldwide, and without significant progress in disease prevention and treatment, its incidence and prevalence could increase by more than 30% by 2030. Researchers have focused on targeting sleep and the circadian system as a novel treatment strategy for Parkinson's disease. This study investigated the association between melatonin receptor agonists and Parkinson's disease, using the Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS). The target drugs were melatonin receptor agonists including ramelteon, tasimelteon, and agomelatine. Parkinson's disease cases were defined according to the Medical Dictionary for Regulatory Activities (MedDRA) 25.0; Standardized MedDRA Query (SMQ) using both the "narrow" and "broad" preferred terms (PTs) associated with Parkinson's disease. The association between melatonin receptor agonists (ramelteon, tasimelteon, and agomelatine) and Parkinson's disease was evaluated by the reporting odds ratio. Upon analyzing the data from all patients registered in the FAERS, ramelteon (ROR: 0.66, 95% confidence interval [95% CI]: 0.51-0.84) and tasimelteon (ROR: 0.49, 95% CI: 0.38-0.62) showed negative correlations with Parkinson's disease. Conversely, only agomelatine was positively correlated with Parkinson's disease (ROR: 2.63, 95% CI: 2.04-3.40). These results suggest that among the melatonin receptor agonists, ramelteon and tasimelteon are negatively correlated with Parkinson's disease. In contrast, agomelatine was shown to be positively correlated with Parkinson's disease. These results should be used in research to develop drugs for the treatment of Parkinson's disease, fully considering the limitations of the spontaneous reporting system.

Post-marketing safety concern of PI3K inhibitors in the cancer therapies: an 8-year disproportionality analysis from the FDA adverse event reporting system

BACKGROUND

ThePhosphoinositide 3-kinases (PI3Ks) family plays a crucial role intumorigenesis. Alpelisib (inhibiting PI3Kα), copanlisib (inhibiting PI3Kα andPI3Kδ), duvelisib (inhibiting PI3Kδ and PI3Kγ), and idelalisib (inhibitingPI3Kδ) were developed to target the PI3K pathway. However, the toxicity limitstheir application to some extent. It's necessary to investigate the adverseeffects (AEs) of these inhibitors.

RESEARCH DESIGNAND METHODS

We conducted acomparative analysis of the safety signals of AEs in PI3K inhibitors usingdisproportionality analysis in the FDA Adverse Event Reporting System database(FAERS).

RESULTS

Our studyidentified significant safety signals for metabolic disorders with all PI3Kinhibitors. Notable safety signals for gastrointestinal disorders were observedwith most PI3K inhibitors, with the exception of copanlisib. Common AEs shared amongall PI3K inhibitors included colitis and dehydration. Alpelisib displayedunique AEs associated with metabolic disorders, whereas copanlisib exhibitedidiosyncratic AEs linked to cardiac and vascular disorders. Stevens-Johnsonsyndrome emerged as a common severe adverse event (SAE) among alpelisib,copanlisib, and idelalisib, while febrile neutropenia was prevalent amongcopanlisib, duvelisib, and idelalisib. Intestinal perforation was solelyassociated with alpelisib.

CONCLUSIONS

The safety profiles of the five PI3K inhibitorsvary concerning adverse events. These findings could guide drug selection andinform future prospective research.

Vonoprazan-associated Clostridioides difficile infection: an analysis of the Japanese Adverse Drug Event Report and the FDA Adverse Event Reporting System

Background

Prolonged or excessive use of acid suppressants may increase the risk of Clostridioides difficile infection (CDI) by altering the intestinal microecosystem. Vonoprazan, a novel potassium-competitive acid blocker, exhibits a faster and more sustained acid-suppressive effect than proton pump inhibitors (PPIs). Therefore, vonoprazan may have a greater impact on the gut microbiota, potentially resulting in CDI.

Objectives

This study aimed to explore the potential relationship between acid suppressants and CDI by the Japan Adverse Drug Event Report (JADER) and the FDA Adverse Event Reporting System (FAERS) databases.

Design

A retrospective analysis of the JADER and FAERS databases was examined by disproportionality analysis.

Methods

We performed signal detection analyses of CDI induced by vonoprazan and PPIs using the JADER and FAERS databases. The association between acid suppressants and CDI was calculated using the reporting odds ratio (ROR) and corresponding 95% confidence interval (95% CI). When the lower limit of the 95% CI is exceeded by 1, the association is considered statistically significant.

Results

In the JADER database, the ROR (95% CI) for vonoprazan and PPIs based on suspect drug reports was 15.84 (12.23-20.50) and 2.51 (1.92-3.28), respectively. In the FAERS database, the ROR (95% CI) for vonoprazan and PPIs based on primary and secondary suspect drug reports was 11.50 (6.36-20.82) and 1.42 (1.34-1.51), respectively. Subgroup analysis showed that elderly patients aged 60 years and older were more strongly associated with CDI. The ROR (95% CI) for vonoprazan and PPIs in patients aged 60 years and older in the JADER database was 15.35 (11.59-20.33) and 1.65 (1.14-2.39), respectively. Similarly, the ROR (95% CI) for vonoprazan and PPIs in the FAERS database was 12.56 (6.26-25.20) and 1.43 (1.31-1.57), respectively. Excluding the effect of Helicobacter pylori (H. pylori) infection, the use of acid suppressants was still associated with CDI.

Conclusion

While signal detection analysis based on the JADER and FAERS databases could not establish causality, our study demonstrated that both vonoprazan and PPIs were significantly associated with CDI. Vonoprazan showed a stronger association with CDI in both databases.

Safety of TNF-α inhibitors: A real-world study based on the US FDA Adverse Event Reporting System Database

As a common treatment for rheumatoid arthritis (RA), the adverse reactions of TNF-α inhibitors (TNFis) in practical application have garnered attention. This study aims to investigate the adverse drug events (ADEs) associated with TNFi in RA patients as reported in the FDA Adverse Event Reporting System, to offer insights for clinical use. Cases related to RA and primarily involving TNFi were extracted from the FDA Adverse Event Reporting System database and compared by gender stratification. Screening was conducted based on reporting odds ratio and information component to identify positive ADEs for different TNFis and evaluate common and unique ADEs among various TNFis. There are 4 common ADEs among TNFis, including pulmonary tuberculosis, infection, hypersensitivity, and herpes zoster, as described in the package inserts. However, each TNFi has unique positive ADEs. Adalimumab has 63 unique positive ADEs, including lower respiratory tract inflammation, systemic lupus erythematosus rash, vascular dementia, ovarian neoplasm, adhesion, sarcoma, coccidioidomycosis, etc. Golimumab has 6 unique positive ADEs, including pneumonia cryptococcal, device deployment issue, pneumonia bacterial, polyneuropathy, device malfunction, device issue, etc; certolizumab has 24 unique positive ADEs, including maternal exposure before pregnancy, premature rupture of membranes, exposure via breast milk, staphylococcal sepsis, erysipelas, low birth weight baby, herpes virus infection, premature delivery, etc; etanercept has 180 unique positive ADEs, including joint destruction, chondrolysis, finger deformity, ankle deformity, joint warmth, etc; infliximab has 60 unique positive ADEs, including Hodgkin's disease, metastatic neoplasm, non-Hodgkin's Lymphoma, etc. Although the aforementioned 5 TNFis share common ADEs such as herpes zoster, clinicians must exercise caution when selecting specific medications, especially for RA patients concurrently suffering from malignancies. The analysis indicates that infliximab is associated with 60 unique positive ADEs, including Hodgkin's disease, metastatic neoplasm, and non-Hodgkin's lymphoma; therefore, these patients should use infliximab with greater caution. Similarly, certolizumab should be used with increased caution in pregnant and postpartum women.

Adverse events associated with eteplirsen: A disproportionality analysis using the 2016-2023 FAERS data

Background

Eteplirsen (Exondys 51) is an orphan drug approved for the treatment of Duchenne muscular dystrophy (DMD), having received accelerated approval from the U.S. Food and Drug Administration (FDA) in 2016. The primary aim of this study is to closely monitor adverse events (AEs) associated with eteplirsen and to identify emerging signals to better characterize their safety profile.

Methods

AEs due to eteplirsen usage reported from the third quarter (Q3) of 2016 to the fourth quarter (Q4) of 2023 were collected from the FDA Adverse Event Reporting System (FAERS). The role_code of AEs mainly includes primary suspect (PS), secondary suspect (SS), concomitant (C), and interaction (I). This study targeted reports with a role_cod of 'PS.' According to the FDA deduplication rule, the latest FDA_DT is selected when the CASEID is the same, and the higher PRIMARYID is selected when the CASEID and FDA_DT are the same. Disproportionality analyses, encompassing four algorithms for reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian configuration promotion neural network (BCPNN), and multi-item gamma Poisson shrinker (MGPS), were utilized to quantify the signals of AEs associated with eteplirsen.

Results

From the FAERS database, a total of 13,205,369 reports were amassed throughout the study duration. Following the eradication of duplicates, the number of reports with eteplirsen designated as the PS amounted to 1480 encompassed 25 organ systems. Among these, "general disorders and administration site conditions," "injury, poisoning, and procedural complications," "respiratory, thoracic, and mediastinal disorders," "infections and infestations," "vascular disorders," and "product issues" met at least one of the four computational criteria. Additionally, 55 Preferred Terms (PTs) aligned with the prescribed algorithms. The median time to AEs in these patients was 903 days with an interquartile range (IQR) of 269-1575 days. Moreover, 70.04 % of AEs manifested one year or more after the initiation of treatment.

Conclusion

As an orphan drug granted accelerated approval, our study has confirmed well-known adverse drug reactions and identified potential safety issues associated with eteplirsen treatment. This has contributed to a deeper understanding of the complex interrelations between adverse reactions and the use of eteplirsen. The findings underscore the critical importance of ongoing monitoring and sustained observation to promptly detect and effectively manage AEs, thereby enhancing the overall safety and well-being of patients treated with eteplirsen for DMD.

Safety of tildrakizumab: a disproportionality analysis based on the FDA adverse event reporting system (FAERS) database from 2018-2023

Background: Tildrakizumab, the IL-23 inhibitor, is used to treat plaque psoriasis and psoriatic arthritis. Many studies have reported adverse drug reactions (ADRs) associated with Tildrakizumab. Objective: The aim of this study was to describe ADRs associated with Tildrakizumab monotherapy by mining data from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: The signals of Tildrakizumab-associated ADRs were quantified using disproportionality analyses such as the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multiitem gamma Poisson shrinker (MGPS) algorithms. Results: A total of 10,530,937 reports of ADRs were collected from the FAERS database, of which 1,177 reports were identified with tildrakizumab as the "primary suspect (PS)". Tildrakizumab-induced ADRs occurred against 27 system organ classes (SOCs). A total of 32 significant disproportionality Preferred Terms (PTs) conformed to the algorithms. Unexpected significant ADRs such as coronavirus infection, herpes simplex, diverticulitis, atrial fibrillation and aortic valve incompetence were also possible. The median time to onset of Tildrakizumab-associated ADRs was 194 days (interquartile range [IQR] 84-329 days), with the majority occurring, within the first 1 and 3 months after initiation of Tildrakizumab. Conclusion: This study identified a potential signal for new ADRs with Tildrakizumab, which might provide important support for clinical monitoring and risk prediction.

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.

A disproportionality analysis of adverse events caused by GnRHas from the FAERS and JADER databases

Background

Gonadotrophin-releasing hormone analogs (GnRHas) play a significant role in addressing gynecological diseases, central precocious puberty, and cancer. However, ensuring the safety of GnRHas in real-world applications requires continuous vigilance. In light of this, we undertook a disproportionality analysis focused on adverse events (AEs) associated with GnRHas using data from both the FDA Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report (JADER). We evaluated GnRHas-associated AEs and characterized the clinical priority of unlisted AEs caused by each GnRHa from the different databases.

Methods

In the disproportionality analysis, we applied two adjusted algorithms to identify signals related to GnRHas in the FAERS and JADER databases from 2004 to 2023. Additionally, we utilized the Statistical Analysis System (SAS, 9.4) to examine potential and high-aROR (adjusted reporting odds ratio) signals associated with GnRHas. We performed clinical priority assessment for suspicious PTs and an analysis of serious/non-serious outcomes. We also gathered information on the onset times of AEs linked with GnRHas from both databases.

Results

From January 2004 to September 2023, FAERS and JADER recorded a total of 50,360,413 and 1,440,200 AEs, respectively. Employing two algorithms, the suspicious preferred terms (PTs) related to leuprolide (Leu) were 562 potential PTs (44 unlisted in specifications), followed by goserelin (Gos) with 189 PTs (28 unlisted), triptorelin (Tri) with 172 PTs (28 unlisted), and Leu-JADER with 85 PTs (10 unlisted). At the same PT level, the differences in GnRHas between the two databases were observed, such as cardiac failure, diabetes mellitus, liver disorder, dementia, suicidal ideation, interstitial lung disease, urinary disorders, and hypertensive crisis. In an analysis of serious vs. non-serious outcomes, a total of 43 AEs of Leu were more likely to be reported as serious AEs with p < 0.05 (such as asthenia, urinary retention, diabetes mellitus, interstitial lung disease, gait disturbance, and so on), following by Tri (6 AEs), and Gos (4 AEs). Based on the clinical priority score, 41 PTs of Leu, 26 PTs of Tri, 24 PTs of Gos, and 8 PTs of Leu-JADER were graded as weak. There were 3 PTs of Leu, 2 PTs of Tri, 4 PTs of Gos, and 2 PTs of Leu-JADER that were graded as moderate. Notably, in the assessment of the relevant evidence, 2 PTs (loss of libido and urinary tract toxicity caused by Leu), 1 PT (electrolyte imbalance caused by Tri), and 2 PTs (anorexia and suicidal ideation caused by Gos) showed a strong level of evidence with "++." The differences in the signal strength of the same PTs from two databases were also worth noting. Moreover, the median onset time for GnRHas (Leu, Tri, and Gos) was 23 days (0, 298), 22 days (0, 181), and 217 days (29, 706), respectively, as median (Q1, Q3).

Conclusion

An examination of two databases revealed suspicious AEs associated with GnRHas. Our study found potential new AE signals of GnRHas and supported continuous clinical monitoring, pharmacovigilance, regional differences, and further studies of GnRHas.

In-silico approaches to assessing multiple high-level drug-drug and drug-disease adverse drug effects

INTRODUCTION

Pharmacovigilance plays a pivotal role in monitoring adverse events (AEs) related to chemical substances in human/animal populations. With increasing spontaneous-reporting systems, researchers turned to in-silico approaches to efficiently analyze drug safety profiles. Here, we review in-silico methods employed for assessing multiple drug-drug/drug-disease AEs covered by comparative analyses and visualization strategies.

AREAS COVERED

Disproportionality, involving multi-stage statistical methodologies and data processing, identifies safety signals among drug-AE pairs. By stratifying data based on disease indications/demographics, researchers address confounders and assess drug safety. Comparative analyses, including clustering techniques and visualization techniques, assess drug similarities, patterns, and trends, calculate correlations, and identify distinct toxicities. Furthermore, we conducted a thorough Scopus search on 'pharmacovigilance,' yielding 5,836 publications spanning 2003 to 2023.

EXPERT OPINION

Pharmacovigilance relies on diverse data sources, presenting challenges in the integration of in-silico approaches and requiring compliance with regulations and AI adoption. Systematic use of statistical analyses enables identifications of potential risks with drugs. Frequentist and Bayesian methods are used in disproportionalities, each with its strengths and weaknesses. Integration of pharmacogenomics with pharmacovigilance enables personalized medicine, with AI further enhancing patient engagement. This multidisciplinary approach holds promise, improving drug efficacy and safety, and should be a core mission of One-Health studies.

New exploration of signal detection of Regional Risks from the perspective of data mining: a pharmacovigilance analysis based on spontaneous reporting data in Zhenjiang, China

BACKGROUND

This study aimed to adopt the conventional signal detection methods to explore a new way of risk identification and to mine important drug risks from the perspective of big data based on Zhenjiang Adverse Event Reporting System (ZAERS).

RESEARCH DESIGN AND METHODS

Data were extracted from ZAERS database between 2012 and 2022. The risks of all the reported drug event combinations were identified at the preferred term level and the standardized MedDRA query level using disproportionality analysis. Then, we conducted signal assessment according to the descriptions of drug labels.

RESULTS

In total 41,473 ADE were reported and there were 12 risky signals. Signal assessment indicates the suspected causal associations in clindamycin-taste and smell disorders, valsartan-hepatic enzyme increased and valsartan-edema peripheral; the specific manifestations of allergic reactions triggered by clindamycin, cefotaxime, cefazodime, ShexiangZhuanggu plaster, ShexiangZhuifeng plaster, and Yanhuning need to be refined in drug labels. In addition, the drug labels of NiuHuangShangQing tablet/capsule, Fuyanxiao capsule, and BiYanLing tablet should be improved.

CONCLUSIONS

In this study, we attempted a new way to find potential drug risks using small spontaneous reporting data. Our findings also suggested the need for more precise identification of allergic risks and the improvement of traditional Chinese medicine labels.

Acetazolamide-induced pulmonary oedema: A disproportionality analysis from the EudraVigilance database

To our knowledge, no prior study has analysed a possible association between acetazolamide and pulmonary oedema. The aim of this study was to use data from the EudraVigilance to detect a safety signal for acetazolamide-induced pulmonary oedema. We performed a disproportionality analysis (case-noncase method), calculating reporting odds ratios (RORs) up to 22 February 2024. Among 11 684 208 spontaneous cases of adverse reactions registered in EudraVigilance, 38 275 were pulmonary oedemas. Acetazolamide was involved in 31 cases. In more than half of those cases, the patients received a single dose of acetazolamide after undergoing cataract surgery: latency was 10-90 min. Remarkably, there were five cases of positive rechallenge and six cases resulted in death. The ROR for acetazolamide was 3.63 (95% CI 2.55-5.17). Disproportionality was also observed in VigiBase®: ROR 4.44 (95% CI 3.34-5.90). Our study confirms a signal that suggests a risk of serious pulmonary oedema associated with acetazolamide.

An observational study on the safety of teprotumumab based on FAERS database

OBJECTIVE

Teprotumumab plays an important role in thyroid eye disease pathogenesis and progression. We intend to mine the adverse event (AE) signals from a relevant database, thereby contributing to the safe use of teprotumumab.

METHODS

The data obtained from the ASCII data packages in the FAERS database from January 2020 to the second quarter of 2023 were imported into the SAS software (version 9.4) for data cleaning and analysis. Disproportionality analysis was performed using the reporting odds ratio (ROR) in conjunction with the United Kingdom Medicines and Healthcare Products Regulatory Agency (MHRA) omnibus standard method to detect positive signals.

PARTICIPANTS

This retrospective observational study relied on adverse drug reactions reported to the FDA through FAERS, which is a standard public system for spontaneous reporting.

RESULTS

Collectively, 2171 AE reports for teprotumumab were collected, among which 108 significant signals were identified involving 17 system organ classes. The SOC of ear and labyrinth disorders included the most AE signals and reports. Muscle spasms, fatigue, headache, nausea, diarrhea, alopecia, blood glucose increased, hypoacusis, tinnitus, and diabetes mellitus were the top ten PTs ranked by the frequency of reporting, meanwhile, the two high-strength signals of thyroid-stimulating immunoglobulin increase (ROR 662.89, 95% CI 182.40-2409.19) and gingival recession (ROR 125.13, 95% CI 79.70-196.45) were not documented in the drug instruction. Meanwhile, we found a higher risk of increased blood glucose, deafness, and decreased appetite for male patients, and headache for female patients.

CONCLUSIONS

Clinical application of teprotumumab should be closely monitored for ototoxicity, nail abnormalities, and menstrual changes, as well as for AEs not mentioned in the drug instruction, including gingival recession, thyroid-stimulating immunoglobulin increase, and so on.

Safety of daratumumab in the real-world: a pharmacovigilance study based on FAERS database

BACKGROUND

Daratumumab is widely used in multiple myeloma (MM) and light chain amyloidosis (AL amyloidosis). The purpose of this study was to identify adverse event (AE) signals for daratumumab through the FDA Adverse Event Reporting System (FAERS) database to assess its safety in a large sample of people.

METHODS

Based on data from the FAERS database, three disproportionality analysis methods were used to mine AE signals for daratumumab, including reporting odd ratio (ROR), proportional reporting ratio (PRR), and bayesian configuration promotion neural network (BCPNN).

RESULTS

A total of 9220 AE reports with daratumumab as the primary suspect drug were collected, containing 23,946 AEs. Within these reports, 252 preferred terms (PT) levels, 73 high level term (HLT) levels and 11 system organ class (SOC) levels of AE signals were detected, along with some new AEs. Most AEs occurred within the first month after drug administration.

CONCLUSION

Our findings were consistent with the results of established studies that daratumumab has a good safety profile. The newly identified AEs are of concern and prospective clinical studies are needed to confirm whether they are causally related to daratumumab. This study provided an early warning for the safe use of daratumumab and also provided guidance for further safety studies.

Adverse events of direct factor Xa inhibitors: a disproportionality analysis of the FAERS database

OBJECTIVES

Direct factor Xa inhibitors rivaroxaban, apixaban, and edoxaban, commonly used direct oral anticoagulant (DOAC), are widely used to prevent and treat stroke and venous thromboembolic events in patients with atrial fibrillation (AF). This study aimed to assess and compare reports of adverse events associated with rivaroxaban, apixaban, and edoxaban, including hemorrhagic and non-hemorrhagic events.

METHODS

Reporting odds ratio (ROR), proportional reporting ratio (PRR), Medications and Health Care Products Regulatory Agency (MHRA), and the information component (IC) were used to perform a risk assessment of adverse event reports in the FDA Adverse Event Reporting System (FAERS) database for the years 2018-2022.

RESULTS

Combined with disproportionality analysis in different backgrounds, the salient risks of the three-factor Xa inhibitors varied. Rivaroxaban had the most significant risk of hemorrhage, apixaban had a higher incidence and risk of death, cardiac and cerebral adverse events, and edoxaban showed a more prominent risk in the kidneys and urinary system.

CONCLUSION

Hemorrhage is a common risk with factor Xa inhibitors, with rivaroxaban being the most significant. Apixaban and edoxaban also showed significant association with non-hemorrhagic adverse events, and increased attention to non-hemorrhagic adverse events is needed in clinical use.

Relationship Between Clozapine and Non-Hematological Malignant Tumors: A Pharmacovigilance Analysis Using the FDA Adverse Event Reporting System Database

BACKGROUND AND OBJECTIVES

Clozapine shows higher efficacy against treatment-resistant schizophrenia than other antipsychotics. This study aimed to investigate whether clozapine is associated with the risk of non-hematological malignant tumors, utilizing the US Food and Drug Administration (FDA) Adverse Event Report System (FAERS) database.

METHODS

The records from the first quarter of 2004 to the third quarter of 2012 were used for disproportionality analysis, and patients who developed non-hematological malignant tumors were identified by the Standardized Medical Dictionary for Regulatory Activities Queries (SMQ).

RESULTS

Of the 3,641,281 patients with 12,401,586 reports of adverse drug events, 151,904 reports belonged to non-hematological malignant tumors (SMQ). We identified 1668 reports of non-hematological malignant tumors (SMQ) in clozapine users, and the reporting odds ratio (ROR) was calculated to be 1.28 (95% confidence interval (CI): 1.22-1.34). ROR (95% CI) for the relationship between clozapine and the risk of testis cancer was calculated as 10.94 (6.99-17.12), 9.87 (7.42-13.15) for gastrointestinal carcinoma, 7.48 (5.57-10.05) for metastatic lung cancer, 6.71 (4.52-9.97) for throat cancer, 6.12 (4.56-8.21) for metastases to the spine, 5.97 (5.30-6.72) for lung malignant neoplasm, 5.07 (3.69-6.95) for esophageal carcinoma, 1.88 (1.43-2.47) for colon cancer, and 1.65 (1.24-2.21) for metastases to the liver. Colon cancer, esophageal carcinoma, and throat cancer were predominantly reported in males, and metastases to the spine and liver were in females.

CONCLUSION

This study detected signals indicating a relationship between clozapine and certain non-hematological malignant tumors, utilizing the FAERS database. Despite the database relying on spontaneous reporting, the current results justify further investigation.

Detection Algorithms for Simple Two-Group Comparisons Using Spontaneous Reporting Systems

Medical science has often used adult males as the standard to establish pathological conditions, their transitions, diagnostic methods, and treatment methods. However, it has recently become clear that sex differences exist in how risk factors contribute to the same disease, and these differences also exist in the efficacy of the same drug. Furthermore, the elderly and children have lower metabolic functions than adult males, and the results of clinical trials on adult males cannot be directly applied to these patients. Spontaneous reporting systems have become an important source of information for safety assessment, thereby reflecting drugs' actual use in specific populations and clinical settings. However, spontaneous reporting systems only register drug-related adverse events (AEs); thus, they cannot accurately capture the total number of patients using these drugs. Therefore, although various algorithms have been developed to exploit disproportionality and search for AE signals, there is no systematic literature on how to detect AE signals specific to the elderly and children or sex-specific signals. This review describes signal detection using data mining, considering traditional methods and the latest knowledge, and their limitations.

Assessing safety concerns of interstitial lung disease associated with antibody-drug conjugates: a real-world pharmacovigilance evaluation of the FDA adverse event reporting system

BACKGROUND

Antibody-drug conjugates have revolutionized cancer therapy due to their selectivity and efficacy. However, concerns have been raised regarding the potential effects of trastuzumab deruxtecan in interstitial lung diseases.

AIM

This study aimed to investigate the safety signals and time to onset of antibody-drug conjugates induced interstitial lung disease.

METHOD

We utilized the FDA Adverse Event Reporting System database (2004-2022) to identify interstitial lung disease safety signals in 13 FDA-approved antibody-drug conjugates. Disproportionality analysis was conducted to estimate the reporting odds ratios for interstitial lung disease.

RESULTS

Seven antibody-drug conjugates exhibited safety signals of interstitial lung disease: trastuzumab deruxtecan [reporting odds ratio, ROR (95% confidence intervals, CI) = 64.15 (57.07-72.10)], enfortumab vedotin [ROR (95% CI) = 5.24 (3.25-8.43)], trastuzumab emtansine [ROR (95% CI) = 3.62 (2.90-4.53)], brentuximab vedotin [ROR (95% CI) = 3.22 (2.49-4.17)], polatuzumab vedotin [ROR (95% CI) = 2.56 (1.59-4.12)], gemtuzumab ozogamicin [ROR (95% CI) = 2.53 (1.70-3.78)], and inotuzumab ozogamicin [ROR (95% CI) = 2.33 (1.21-4.49)]. Five antibody-drug conjugates with limited reports were excluded from further analysis: belantamab mafodotin, loncastuximab tesirine, mirvetuximab sorafenib, tisotumab vedotin, and moxetumomab pasudotox. Japan and the United States were the primary reporting countries.

CONCLUSION

This real-world study highlights high safety signals of interstitial lung disease associated with antibody-drug conjugates. Clinicians should be aware of these safety concerns and risk factors and implement early identification measures for their patients. Future research should prioritize comprehensively exploring the relationship between antibody-drug conjugates and lung diseases.

Potential adverse events associated with sphingosine-1-phosphate (S1P) receptor modulators in patients with multiple sclerosis: an analysis of the FDA adverse event reporting system (FAERS) database

Objective

Sphingosine-1-phosphate receptor (S1PR) modulators have recently attracted increasing attention for the treatment of multiple sclerosis (MS). Despite their preference in the clinic, multiple adverse events (AEs) continue to be reported every year. This study aimed to investigate the potential AEs as well as related important medical events (IMEs) signal associated with S1PR modulators, including fingolimod, siponimod and ozanimod in a real-world study using the FDA Adverse Event Reporting System (FAERS) database.

Methods

All data were collected from the FAERS database, spanning from the fourth quarter of 2010(2010Q4) to the second quarter of 2023 (2023Q2). Potential AE and IME signals of S1PR modulators were identified based on a disproportionality analysis using the reporting odds ratio (ROR), proportional reporting ratio (PRR), and the bayesian confidence propagation neural network of information components (IC).

Results

Overall, 276,436 reports of fingolimod, 20,972 reports of siponimod and 10,742 reports of ozanimod were analyzed from the FAERS database. Among reports, females were more prone to develop AEs (73.71% for females vs. 23.21% for males), and more than 50% of patients suffered from AEs were between 18 and 64 years. Subsequently, we investigated the top 20 AEs associated with the signal strength of S1PR modulators at the preferred term (PT) level, and identified 31 (8 vs. 11 vs. 12, respectively) unlabeled risk signals such as thrombosis, uterine disorder and reproductive system and breast disorders. Furthermore, we discovered that the S1PR modulator reported variations in the possible IMEs, and that the IMEs associated with ocular events were reported frequently. It's interesting to note that infection and malignancy are prominent signals with both fingolimod and siponimod in the top 20 PTs related to mortality reports.

Conclusion

The present investigation highlights the possible safety risks associated with S1PR modulators. The majority of AEs are generally consistent with previous studies and are mentioned in the prescribing instructions, however, several unexpected AE signals have also been observed. Ozanimod showed the lowest signal intensity and a better safety profile than the other S1PR modulators. Due to the short marketing time of drugs and the limitations of spontaneous reporting database, further research is required to identify potential AEs related to S1PR modulators.

Safety analysis of Oseltamivir and Baloxavir Marboxil after market approval: a pharmacovigilance study based on the FDA adverse event reporting system

BACKGROUND AND OBJECTIVES

Amidst limited influenza treatment options, evaluating the safety of Oseltamivir and Baloxavir Marboxil is crucial, particularly given their comparable efficacy. This study investigates post-market safety profiles, exploring adverse events (AEs) and their drug associations to provide essential clinical references.

METHODS

A meticulous analysis of FDA Adverse Event Reporting System (FAERS) data spanning the first quarter of 2004 to the fourth quarter of 2022 was conducted. Using data mining techniques like reporting odds ratio (ROR), proportional reporting ratio, Bayesian Confidence Propagation Neural Network, and Multiple Gamma Poisson Shrinkage, AEs related to Oseltamivir and Baloxavir Marboxil were examined. Venn analysis compared and selected specific AEs associated with each drug.

RESULTS

Incorporating 15,104 Oseltamivir cases and 1,594 Baloxavir Marboxil cases, Wain analysis unveiled 21 common AEs across neurological, psychiatric, gastrointestinal, dermatological, respiratory, and infectious domains. Oseltamivir exhibited 221 significantly specific AEs, including appendicolith [ROR (95% CI), 459.53 (340.88 ∼ 619.47)], acne infantile [ROR (95% CI, 368.65 (118.89 ∼ 1143.09)], acute macular neuroretinopathy [ROR (95% CI), 294.92 (97.88 ∼ 888.64)], proctitis [ROR (95% CI), 245.74 (101.47 ∼ 595.31)], and Purpura senile [ROR (95% CI), 154.02 (81.96 ∼ 289.43)]. designated adverse events (DMEs) associated with Oseltamivir included fulminant hepatitis [ROR (95% CI), 12.12 (8.30-17.72), n=27], ventricular fibrillation [ROR (95% CI), 7.68 (6.01-9.83), n=64], toxic epidermal necrolysis [ROR (95% CI), 7.21 (5.74-9.05), n=75]. Baloxavir Marboxil exhibited 34 specific AEs, including Melaena [ROR (95% CI), 21.34 (14.15-32.18), n = 23], cystitis haemorrhagic [ROR (95% CI), 20.22 (7.57-54.00), n = 4], ileus paralytic [ROR (95% CI), 18.57 (5.98-57.71), n = 3], and haemorrhagic diathesis [ROR (95% CI), 16.86 (5.43-52.40)), n = 3]. DMEs associated with Baloxavir Marboxil included rhabdomyolysis [ROR (95% CI), 15.50 (10.53 ∼ 22.80), n = 26].

CONCLUSION

Monitoring fulminant hepatitis during Oseltamivir treatment, especially in patients with liver-related diseases, is crucial. Oseltamivir's potential to induce abnormal behavior, especially in adolescents, necessitates special attention. Baloxavir Marboxil, with lower hepatic toxicity, emerges as a potential alternative for patients with liver diseases. During Baloxavir Marboxil treatment, focused attention on the occurrence of rhabdomyolysis is advised, necessitating timely monitoring of relevant indicators for those with clinical manifestations. The comprehensive data aims to provide valuable insights for clinicians and healthcare practitioners, facilitating an understanding of the safety profiles of these influenza treatments in real-world scenarios.

Post-marketing safety concerns with lumateperone: a pharmacovigilance analysis based on the FDA adverse event reporting system (FAERS) database

Objective

Lumateperone, a novel antipsychotic drug that was granted by the Food and Drug Administration (FDA) approval in December 2019, remains insufficiently explored for its adverse event profile. This study used the FDA Adverse Event Reporting System (FAERS) database to explore its potential safety issues.

Methods

This study conducted a retrospective analysis of FAERS data from the fourth quarter of 2019 to the third quarter of 2023, extracting reports related to lumateperone. Disproportionality analysis using Reporting Odds Ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) algorithms was employed to detect signals of adverse events (AEs).

Results

Our research processed 4,777 pertinent AE disclosures related to lumateperone, unveiling 125 signals that satisfied both ROR and BCPNN evaluative benchmarks across 26 System Organ Classes (SOCs). Intriguingly, 108 of these signals were categorized as unanticipated, spotlighting notable psychiatric manifestations such as mania (ROR = 73.82, 95% CI = 57.09-95.46; IC = 6.16, IC025 = 4.49), and hypomania (ROR = 34.74, 95% CI = 15.54-77.64; IC = 5.10, IC025 = 3.43), alongside non-psychiatric phenomena like urinary retention (ROR = 3.59, 95% CI = 1.80-7.19; IC = 1.84, IC025 = 0.18) and serotonin syndrome (ROR = 8.69, 95% CI = 4.81-15.72; IC = 3.11, IC025 = 1.45).

Conclusion

This research provides real-world safety data on lumateperone post-marketing and is an important supplement to the information from clinical trial studies. Healthcare professionals should be vigilant for the risk of a manic switch in patients with bipolar depression who are administered lumateperone. More epidemiological studies are needed in the future to explore and further evaluate the risk-benefit issue of lumateperone.

A simulation-based comparison of drug-drug interaction signal detection methods

Several statistical methods have been proposed to detect adverse drug reactions induced by taking two drugs together. These suspected adverse drug reactions can be discovered through post-market drug safety surveillance, which mainly relies on spontaneous reporting system database. Most previous studies have applied statistical models to real world data, but it is not clear which method outperforms the others. We aimed to assess the performance of various detection methods by implementing simulations under various conditions. We reviewed proposed approaches to detect signals indicating drug-drug interactions (DDIs) including the Ω shrinkage measure, the chi-square statistic, the proportional reporting ratio, the concomitant signal score, the additive model and the multiplicative model. Under various scenarios, we conducted a simulation study to examine the performances of the methods. We also applied the methods to Korea Adverse Event Reporting System (KAERS) data. Of the six methods considered in the simulation study, the Ω shrinkage measure and the chi-square statistic with threshold = 2 had higher sensitivity for detecting the true signals than the other methods in most scenarios while controlling the false positive rate below 0.05. When applied to the KAERS data, the two methods detected one known DDI for QT prolongation and one unknown (suspected) DDI for hyperkalemia. The performance of various signal detection methods for DDI may vary. It is recommended to use several methods together, rather than just one, to make a reasonable decision.

A disproportionality analysis of FDA adverse event reporting system (FAERS) events for ticagrelor

Background

Ticagrelor is a commonly used antiplatelet agent, but due to the stringent criteria for trial population inclusion and the limited sample size, its safety profile has not been fully elucidated.

Method

We utilized OpenVigil 2.1 to query the FDA Adverse Event Reporting System database and retrieved reports by the generic name "ticagrelor" published between 1 October 2010 and 31 March 2023. Adverse drug events (ADEs) were classified and described according to the preferred terms and system organ classes in the Medical Dictionary of Regulatory Activity. Proportional reporting ratio (PRR), reporting odds ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) were used to detect signals.

Results

The number of ADE reports with ticagrelor as the primary suspect drug was 12,909. The top three ADEs were dyspnea [1824 reports, ROR 7.34, PRR 6.45, information component (IC) 2.68], chest pain (458 reports, ROR 5.43, PRR 5.27, IC 2.39), and vascular stent thrombosis (406 reports, ROR 409.53, PRR 396.68, IC 8.02). The highest ROR, 630.24, was found for "vascular stent occlusion". Cardiac arrest (137 reports, ROR 3.41, PRR 3.39, IC 1.75), atrial fibrillation (99 reports, ROR 2.05, PRR 2.04, IC 1.03), asphyxia (101 reports, ROR 23.60, PRR 23.43, IC 4.51), and rhabdomyolysis (57 reports, ROR 2.75, PRR 2.75, IC 1.45) were suspected new adverse events of ticagrelor.

Conclusion

The FAERS database produced potential signals associated with ticagrelor that have not been recorded in the package inserts, such as cardiac arrest, atrial fibrillation, asphyxia, and rhabdomyolysis. Further clinical surveillance is needed to quantify and validate potential hazards associated with ticagrelor-related adverse events.

Psychiatric disorders associated with PCSK9 inhibitors: A real-world, pharmacovigilance study

BACKGROUND

The relationship between Protein Convertase Subtilisin Kexin Type 9 inhibitor (PCSK9i) and psychiatric adverse events (AEs) remains unclear due to the limitations of clinical trials. In this study, PCSK9i-related psychiatric AEs were realistically observed and systematically summarized in the real world by data mining the FDA AE Reporting System (FAERS).

METHOD

Total AEs between the third quarter of 2015 and the first quarter of 2023 were obtained from FAERS. Psychiatric AEs were identified using disproportionality analysis and clinical prioritization of signals using a rating scale, followed by univariate logistic regression to explore factors influencing psychiatric AEs.

RESULTS

Psychiatric AEs accounted for 6.7% of the total number of PCSK9i reports. Eighteen psychiatric AEs were defined as PCSK9i-related psychiatric adverse events (ppAEs) (lower 95% CI of both ROR >1 and IC025 > 0). The median age of ppAE reports was 68 years, and female patients accounted for 22.67% of reports, including 41.40% of reports with a serious outcome. Eleven (61.11%) and seven (38.89%) ppAEs were classified as weak and moderate clinical priority, respectively. The median time to onset of ppAEs was 149 and 196 days after treatment with evolocumab and alirocumab, respectively. Patients weighing ≥80 kg were 1.59 times more likely to experience ppAEs.

CONCLUSION

The results of this study facilitate the prioritization of psychiatric AE signals by healthcare professionals with the goal of mitigating the risk of PCSK9i-related psychiatric AEs. However, as an exploratory study, our findings need to be confirmed in large-scale prospective studies.

Exploring signals of myopathy associated with statin and contraindicated comedications in the realworld

BACKGROUND

Using statins in combination with other drugs was reported to increase the risk of myopathy. However, there was a sparse number of studies on the incidence of adverse events (AEs) associated with the concomitant use of statin and contraindicated drugs in the real world.

OBJECTIVES

This study aimed to identify the risk of concomitant use of statins with contraindicated drugs by exploring signals related to statin-drug interactions.

METHODS

We performed a disproportionality analysis for drugs and AEs by applying the case/non-case study using the KIDS-KAERS database (KIDS-KD), 2016-2020. A case was defined as an individual case safety reports (ICSRs) including "rhabdomyolysis/myopathy." A non-case was defined as an ICSR, including all other AEs. We applied Ω shrinkage measure model, chi-square statics model, additive model, multiplicative model, and combination risk ratio model to detect signals of myopathy due to statin with concomitant drugs including antiviral agents, immunosuppressants, and antifungals.

RESULTS

Among 1 011 234 ICSRs, 2708 were cases, with 861 cases of statin monotherapy and 1248 of concomitant uses of statin. The adjusted reporting odds ratios were 3.27 (95% confidence interval [CI]: 3.11-3.43), 8.70 (95% CI: 8.04-9.40), and 1.83 (95% CI: 1.73-1.94), respectively. Several combinations of signals were detected through an additive model or multiplicative model.

CONCLUSION

Signals of an increased risk of myopathy associated with the use of statins with concomitant drugs, including contraindicated drugs, were confirmed in a real-world setting.

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

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

The association of hypophysitis with immune checkpoint inhibitors use: Gaining insight through the FDA pharmacovigilance database

The use of immune checkpoint inhibitor (ICI) marked a revolutionary change in cancer treatment and opened new avenues for cancer therapy, but ICI can also trigger immune-related adverse events (irAEs). Here, we investigated the publicly available US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database to gain insight into the possible association between immune checkpoint inhibitors and hypophysitis. Data on adverse events (AEs) due to hypophysitisfor nivolumab, pembrolizumab, ipilimumab, and atezolizumab were collected from the US FDA Adverse Event Reporting System from the first quarter of 2004 to the second quarter of 2021, and the signals for hypophysitis associated with the four drugs were examined using the reporting odds ratio (ROR) method. The number of reported hypophysitis events ≥ 3 and the lower limit of the 95% confidence interval (CI) of the ROR > 1 were considered positive for hypophysitis signals. A total of 1252 AE reports of hypophysitis associated with nivolumab, pembrolizumab, ipilimumab, and atezolizumab were collected, including 419, 149, 643, and 41 cases, respectively. The RORs of hypophysitis were 289.58 (95% CI 258.49-324.40), 171.74 (95% CI 144.91-203.54), 2248.57 (95% CI 2025.31-2496.45), and 97.29 (95% CI 71.28-132.79), respectively. All four drugs were statistically correlated with the target AE, with the correlation being, in descending order, ipilimumab, nivolumab, pembrolizumab, and atezolizumab. Nivolumab, pembrolizumab, ipilimumab, and atezolizumab have all been associated with hypophysitis, which can negatively impact quality of life, and early recognition and management of immune checkpoint inhibitor-related hypophysitis is critical.

Influence of vasopressin receptor antagonists on triple-whammy acute kidney injury: A VigiBase analysis

Although diuretics play an important role in triple-whammy acute kidney injury (AKI), it is unclear whether the type of diuretic influences the risk of triple-whammy AKI. The aim of this study was to evaluate whether vasopressin receptor antagonists affect triple-whammy AKI. This cross-sectional study used disproportionality analysis of VigiBase data to assess the risk of AKI with various diuretics. Although multiple logistic regression analysis showed that aldosterone antagonists (odds ratio [OR] 2.19, 95% CI 2.01-2.37), loop diuretics (OR 4.40, 95% CI 4.07-4.76) and thiazide diuretics (OR 1.98, 95% CI 1.83-2.15) increased the risk of AKI in patients who received non-steroidal anti-inflammatory drugs (NSAIDs) and renin-angiotensin system inhibitors (RASi), vasopressin receptor antagonists did not increase the risk of AKI in those patients. Vasopressin receptor antagonists might not influence the development of triple-whammy AKI.

Adverse drug reaction signal detection methods in spontaneous reporting system: A systematic review

BACKGROUND

A series of signal detection methods have been developed to detect adverse drug reaction (ADR) signals in spontaneous reporting system. However, different signal detection methods yield quite different signal detection results, and we do not know which method has the best detection performance. How to choose the most suitable signal detection method is an urgent problem to be solved. In this study, we systematically reviewed the characteristics and application scopes of current signal detection methods, with the goal of providing references for the optimization selection of signal detection methods in spontaneous reporting system.

METHODS

We searched six databases from inception to January 2023. The search strategy targeted literatures regarding signal detection methods in spontaneous reporting system. We used thematic analysis approach to summarize the advantages, disadvantages, and application scope of each signal detection method.

RESULTS

A total of 93 literatures were included, including 27 reviews and 66 methodological studies. Moreover, 31 signal detection methods were identified in these literatures. Each signal detection method has its inherent advantages and disadvantages, resulting in different application scopes of these methods.

CONCLUSION

Our systematic review finds that there are variabilities in the advantages, disadvantages, and application scopes of different signal detection methods. This finding indicates that the most suitable signal detection method varies across different drug safety scenarios. Moreover, when selecting signal detection method in a particular drug safety scenario, the following factors need to be considered: purpose of research, database size, drug characteristics, adverse event characteristics, and characteristics of the relations between drugs and adverse events.

Identification and comparison of sex-specific serious adverse drug reactions in spontaneous reports and systematically collected reports (ADRED)

AIMS

Adverse drug reactions (ADRs) are known to show sex-specific differences in occurrence and phenotype. The aim of this study was to analyse sex-specific differences in ADR-drug combinations that required hospitalization based on two different datasets.

METHODS

We performed a complementary analysis of (i) spontaneously reported (n = 12 564, female = 51.7%) and (ii) systematically collected ADR reports from a prospective multicentre observational study (ADRED, n = 2355, female = 48.2%) from Germany in the ADR database EudraVigilance (EV). Both datasets were analysed separately concerning the suspected drugs, ADRs and ADR-drug combinations more frequently reported for females or males by calculating reporting odds ratios (ROR) with 95% confidence intervals. ADR-drug combinations more frequently reported for either females or males in EV reports were related to prescription data. Finally, the results from both datasets were discussed with regard to their (dis-)concordance.

RESULTS

In both datasets, some antineoplastic agents and nervous system drugs were found to be reported more often for females than males (RORs ranging from 1.5 [1.1-2.1] for quetiapine in spontaneous reports to 41.3 [13.1-130.0] for trastuzumab in spontaneous reports). ADRs of the respiratory system, and haemorrhages were described predominantly for males in both datasets. In spontaneous reports the ADR-drug combination self-injurious behaviour-quetiapine was more often reported for females without and with consideration of drug prescriptions (ROR: 3.8 [1.3-11.0]). Quetiapine and psychiatric disorders (superordinate level) was exclusively reported for females in ADRED reports.

CONCLUSIONS

Our results can contribute to raise awareness and further knowledge regarding sex-specific ADRs. The findings require further in-depth investigation.

Serotonin syndrome: A pharmacovigilance comparative study of drugs affecting serotonin levels

BACKGROUND

Serotonin syndrome is a rare and potentially fatal adverse drug reaction caused by serotonergic drugs and is due to an increase in serotonin concentration or activation of the 5-HT receptor in the central nervous system. We analysed adverse events in the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data set to investigate the main drug classes related to reports of serotonin syndrome and the reporting risk in relation to age and sex.

METHODS

We analysed data from the FAERS database to evaluate the main drug classes related to reports of the serotonin syndrome, and the reporting risk in relation to age and sex.

RESULTS

We found 8,997 cases of serotonin syndrome; selective serotonin reuptake inhibitors (SSRIs) was the class of drugs with most reports, followed by opioids and other antidepressants. The highest Reporting Odds Ratios (ROR) for drug classes was for monoamine oxidase (MAO) inhibitors (45.99, 95% confidence interval (CI): 41.21-51.33) and SSRIs (32.66, 95% CI: 31.33-34.04), while the ten active substances with the highest ROR were moclobemide, isocarboxazid, oxitriptane, tranylcypromine, melitracen, phenelzine, linezolid, amoxapine, reboxetine and tryptophan; with values of ROR ranging from 44.19 (95% CI: 25.38-76.94) of tryptophan to 388.36 (95% CI: 314.58-479.46) of moclobemide. The ROR for the most commonly involved drugs was higher in the group of older adults (65 > years old), and higher in males.

CONCLUSION

Prescribers need to be vigilant about drugs that can raise serotonin concentration or influence serotonergic neurotransmission, also when using drugs with less well-known risk for serotonin syndrome, like linezolid and triptans.

Postmarketing safety profile of brexanolone: a pharmacovigilance analysis based on FDA Adverse Event Reporting System (FAERS)

OBJECTIVE

Brexanolone (Zulresso®) that was approved for the USA in March 2019 is indicated for the treatment of postpartum depression (PPD), but information on adverse drug reactions (ADRs) associated with its use is limited. The main aim of this study was to explore the postmarketing safety profile of brexanolone.

METHODS

In our case/non-case pharmacovigilance study based on the FDA Adverse Event Reporting System (FAERS), the reporting odds ratio and information component with 95% confidence intervals were estimated as measures of disproportionate reporting. Primary disproportionality analyses were performed by comparing brexanolone with all other drugs or selective serotonin reuptake inhibitors (SSRIs). Sensitivity analyses were performed on a subset of perinatal depression.

RESULTS

We identified 267 cases using brexanolone. Brexanolone was reported as a primary or secondary suspect drug in most cases (n = 260, 97.38%). Of the total brexanolone cases, positive dechallenge and discontinuation accounted for 12.36% (n = 33) and 26.22% (n = 70), respectively. Serious outcomes were reported in 11.61% (n = 31) patients. Compared to all the other drugs or SSRIs within the same time window, the reporting risks of brexanolone were mainly from psychiatric and nervous systems. Sensitivity analyses indicated that these significant disproportionalities were mostly retained.

CONCLUSION

Our pharmacovigilance analysis showed a high reporting frequency of psychiatric and nervous system ADRs associated with the use of brexanolone. In additional prospective research, these signals urgently need to be clarified.

Drug clustering to anticipate new aspects of drug safety profile: Application to gabapentinoids and other voltage-gated calcium channel ligand drugs

AIMS

Gabapentin and pregabalin bind to α2-δ subunit of voltage-gated calcium channels (Cav ). Other drugs targeting Cav include cardiovascular calcium channel blockers (CCBs) and anticonvulsants (levetiracetam, ethosuximide and zonisamide). In addition to pharmacodynamics, the safety profile of gabapentinoids seems to overlap with the one of cardiovascular CCBs (oedema) and Cav -blocking anticonvulsants (suicide and ataxia). The objective of this study was to cluster the safety profile of different Cav -ligand drugs by focusing on whether gabapentinoids present a distinct adverse drug reaction (ADR) signature from cardiovascular CCBs and anticonvulsants.

METHODS

We extracted all ADRs with at least one significant disproportionate reporting (reporting odds ratio) related to gabapentinoids, CCBs or anticonvulsants in VigiBase. After principal component analysis preprocessing, a hierarchical ascendent classification was performed to cluster gabapentinoids and other Cav -ligand drugs that share a similar ADR signature. The robustness of the results was determined through four sensitivity analyses, varying on the dataset or the clustering method.

RESULTS

A total of 16 drugs and 65 ADRs were included. Gabapentinoids were in Cluster #1, which included eight other drugs (isradipine, nicardipine, lacidipine, lercanidipine, ethosuximide, levetiracetam, zonisamide and nimodipine). Cluster #2 contained two drugs (diltiazem and verapamil) and Cluster #3 contained four drugs (amlodipine, felodipine, nifedipine and nitrendipine). The clustering results were consistent in all sensitivity analyses.

CONCLUSIONS

The safety profile of gabapentinoids overlaps with those of some dihydropyridine CCBs and Cav -blocking anticonvulsants. These results could be used to anticipate some unidentified ADRs of gabapentinoids from information accumulated with older drugs and sharing a common molecular target and ADR signature.

Safety of selinexor as the only exportin 1 (XPO1) inhibitor so far: a post-marketing study based on the world Health Organization pharmacovigilance database (Vigibase)

BACKGROUND

Exportin 1 (XPO1) inhibitors are being developed as a new agent for anti-cancer therapies. This study aimed to broadly portray the adverse event (AE) profile of selinexor, an XPO1 inhibitor, in actual clinical practice.

RESEARCH DESIGN AND METHODS

Disproportionality analyses were conducted by calculating the information component and reporting odds ratio in VigiBase over different reporting periods. All selinexor-related AEs were classified by system organ class (SOC) and preferred term (PT) according to the Medical Dictionary for Regulatory Activities.

RESULTS

A total of 116,443 AEs were identified in 2,608 patients that received selinexor. Patients with cardiac disorders had a higher propensity for death. Thirteen SOCs and 125 PTs were identified as having a potential connection with selinexor. Notably, 29 suspected signals detected in our study were defined as significant AEs by the European Medicines Agency, including febrile neutropenia, pancytopenia, and acute kidney injury. Attention should be paid to these AEs, despite most toxicities being manageable and reversible.

CONCLUSIONS

This study highlights a number of AEs associated with selinexor. Most toxicities are reversible but require careful management. The benefit of selinexor still outweighs the potential risks, indicating XPO1 inhibitors as promising agents.

Reporting of tumor lysis syndrome with targeted therapy for hepatic cancer in the FDA adverse events reporting system

BACKGROUND

Hepatic cancer is a common cancer in clinical practice. Current drug therapies for this condition include targeted therapy, chemotherapy, and immunotherapy. Tumor lysis syndrome (TLS) is the most serious complication of oncology treatment. According to the literature, several cases reported TLS occurred with targeted therapies for hepatic cancer.

METHODS

Reporting odds ratio and information component were used to measure the disproportionate signals for TLS associated with targeted therapies, using data from the FDA's Adverse Event Reporting System (FAERS). A stepwise sensitivity analysis was conducted to test the robustness of signals. Time-to-onset analysis was used to describe the latency of TLS events associated with targeted therapies. The Bradford Hill criteria were used to perform a global assessment of the evidence.

RESULTS

Sorafenib, lenvatinib, cabozantinib, and bevacizumab showed higher disproportionate signals for TLS than chemotherapy. The median number of days to TLS occurrence after drug therapy was 5.5, 6.5, and 6.5 days for sorafenib, lenvatinib, and bevacizumab, respectively.

CONCLUSIONS

There is a significant association between tumor lysis syndrome and targeted therapies for hepatic carcinoma, with particularly strong signals for sorafenib and lenvatinib. Clinicians should be aware of the potential for tumor lysis syndrome in targeted therapies for hepatic carcinoma.

Disproportional signal of pericarditis with biological diseasemodifying antirheumatic drugs (bDMARDs) in patients with ankylosing spondylitis: a disproportionality analysis in the FAERS database

Objective: This study aimed to investigate the potential association between biological disease-modifying antirheumatic drugs (bDMARDs) and pericarditis and uncover relevant clinical characteristics in ankylosing spondylitis (AS). Methods: Reports of pericarditis recorded in the FDA Adverse Event Reporting System (FAERS) (January 2004-December 2022) were identified through the preferred term "pericarditis." Demographic and clinical characteristics were described, and disproportionality signals were assessed through the reporting odds ratio (ROR) and information component (IC). A significant signal was detected if the lower bound of IC (IC025) was more than zero. Results: We found 1,874 reports of pericarditis with bDMARDs (11.3% of cases with fatal outcomes). Adalimumab (IC025 3.24), infliximab (IC025 4.90), golimumab (IC025 5.40), certolizumab (IC025 5.43), etanercept (IC025 3.24), secukinumab (IC025 3.97), and ustekinumab (IC025 7.61) exhibit significant disproportionality signals compared to other medications in the FAERS database. After excluding pre-existing diseases and co-treated drugs that may increase the susceptibility of pericarditis, the disproportionality signal associated with infliximab, certolizumab, etanercept, secukinumab, and ustekinumab remained strong. Pericarditis cases associated with all bDMARDs were predominantly recorded in women aged 25-65 years. Conclusion: More reports of pericarditis were detected with AS patients on bDMARDs than with other drugs in the overall database. Further studies are warranted to investigate the underlying mechanisms and identify patient-related susceptibility factors, thus supporting timely diagnosis and safe(r) prescribing of bDMARDs.

Multivariate generalized mixed-effects models for screening multiple adverse drug reactions in spontaneous reporting systems

Introduction: For assessing drug safety using spontaneous reporting system databases, quantitative measurements, such as proportional reporting rate (PRR) and reporting odds ratio (ROR), are widely employed to assess the relationship between a drug and a suspected adverse drug reaction (ADR). The databases contain numerous ADRs, and the quantitative measurements need to be calculated by performing the analysis multiple times for each ADR. We proposed a novel, simple, and easy-to-implement method to estimate the PRR and ROR of multiple ADRs in a single analysis using a generalized mixed-effects model for signal detection. Methods: The proposed method simultaneously analyzed the association between any drug and numerous ADRs, as well as estimated the PRR and ROR for a specific combination of drugs and suspected ADRs. Furthermore, the proposed method was applied to detect drug-drug interactions associated with the concurrent use of two or more drugs. Results and discussion: In our simulation studies, the false-positive rate and sensitivity of the proposed method were similar to those of the traditional PRR and ROR. The proposed method detected known ADRs when applied to the Food and Drug Administration Adverse Event Reporting System database. As an important advantage, the proposed method allowed the simultaneous evaluation of several ADRs using multiple drugs.