Global burden of vaccine-associated rheumatic diseases and their related vaccines, 1967-2023: A comprehensive analysis of the international pharmacovigilance database.

Vaccine-associated rheumatic diseases are rare but one of the most feared adverse drug reactions (ADRs). However, this topic has been investigated less with large-scale data in the literature. With the rapid progress in the development and approval of vaccines during the pandemic, public concerns regarding their safety have been raised. To assess the global and regional burden, long-term trends, and potential risk factors of vaccines-associated six types of rheumatic diseases (ankylosing spondylitis [AS], polymyalgia rheumatica [PMR], rheumatoid arthritis [RA], Sjögren's syndrome, Systemic lupus erythematosus [SLE], Systemic scleroderma), this study conducted disproportionality analysis based on the reports from the World Health Organization International Pharmacovigilance Database documented between 1967 and 2023 (n for total reports = 131 255 418) across 156 countries and territories. We estimated the reporting odds ratio (ROR) and information component (IC) to determine the disproportionality signal for rheumatic diseases. Of 198 046 reports of all-cause rheumatic diseases, 14 703 reports of vaccine-associated rheumatic diseases were identified. While the reporting counts have gradually increased over time globally, we observed a dramatic increase in reporting counts after 2020, potentially due to a large portion of reports of COVID-19 mRNA vaccine-associated rheumatic diseases. The disproportionality signal for rheumatic diseases was most pronounced in HBV vaccines (ROR, 4.11; IC025, 1.90), followed by COVID-19 mRNA (ROR, 2.79; IC025, 1.25), anthrax (ROR, 2.52; IC025, 0.76), papillomavirus (ROR, 2.16; IC025, 0.95), encephalitis (ROR, 2.01; IC025, 0.58), typhoid (ROR, 1.91; IC025, 0.44), influenza (ROR, 1.49; IC025, 0.46), and HAV vaccines (ROR, 1.41; IC025, 0.20). From age- and sex-specific perspective, young females and old males are likely to have vaccine-associated rheumatic disease reports. Furthermore, overall vaccines showed a disproportionality signal for PMR (IC025, 3.13) and Sjögren's syndrome (IC025, 0.70), systemic scleroderma (IC025, 0.64), specifically while the COVID-19 mRNA vaccines are associated with all six types of diseases. Although multiple vaccines are associated with rheumatic disease reports, healthcare providers should be aware of the potential of autoimmune manifestations following vaccination, particularly the COVID-19 mRNA and HBV vaccines, and take into account for risk factors associated with these ADRs. Most ADRs exhibited an average time to onset of 11 days, underscoring the significance of monitoring and timely management by clinicians.

A Biologic With Otologic Consequences: Analysis of Hearing Loss and Teprotumumab Using the FDA Adverse Event Reporting System.

OBJECTIVES: To evaluate otologic adverse reactions (OARs), including hearing loss (OARs-HL) among patients taking teprotumumab, a new biologic approved for the treatment of active thyroid eye disease, using publicly available pharmacovigilance reporting data. STUDY DESIGN: Retrospective database review. METHODS: The Food and Drug Administration Adverse Events Reporting System (FAERS) was queried for cases involving teprotumumab from 2020Q1 to 2023Q1. Patient demographics and adverse reactions (OAR and OAR-HL) were evaluated. Logistic regression was used to predict OAR and OAR-HL, and disproportionality analysis was performed using OpenVigil. RESULTS: A total of 2,109 teprotumumab-AR cases were reported, of which 296 (14.05%; mean age 55.46 yr) were OARs. Of these, 149 (7.06%) reported OAR-HL and 194 (9.20%) reported other OAR (e.g., tinnitus, ear discomfort, vertigo), with 47 (2.23%) reporting both. Disproportionality analysis showed a reported odds ratio (ROR) for OARs-HL of 44.33 (95% confidence interval [CI], 37.40-52.55; p < 0.001). Age was associated with RORs of 1.02 (95% CI, 1.01-1.04) and 1.04 (95% CI, 1.02-1.07) for developing OARs and specifically OARs-HL, respectively (p < 0.01). Age 50 and 65 years and older were associated with RORs of 2.54 (95% CI, 1.16-6.38) and 3.36 (95% CI, 1.75-6.53), respectively, for OARs-HL (p < 0.05). CONCLUSION: This study using FAERS data suggests an increased risk of OARs, specifically hearing loss, associated with teprotumumab. Increasing age was a significant predictor of OARs. Audiometric counseling and evaluation should be considered with teprotumumab therapy in Graves' orbitopathy patients, especially in older patients.

Studying the Impact of European Union Regulatory Interventions for Minimising Risks From Medicines: Lessons Learnt and Recommendations.

PURPOSE: The European Medicines Agency's (EMA) Pharmacovigilance Risk Assessment Committee (PRAC) launched a strategy to examine the public health impact of major regulatory interventions aimed at minimising risks of medicinal products. We conducted a lessons learnt analysis of impact studies completed between 2015 and 2023. METHODS: We surveyed PRAC Sponsors and (Co-)Rapporteurs involved in the evaluation of 12 impact studies (10 commissioned by EMA and 2 conducted collaboratively by Member States) to explore how these support regulatory decision-making. Questions covered achievement of study objectives, risk minimisation effectiveness, added value for regulatory decision-making, and recommendations for future impact studies. Themes were generated using thematic content analysis. RESULTS: Survey responses from 15 PRAC Sponsors and (Co-)Rapporteurs from 10 European Union Member States were included in the analysis. Among four cross-sectional surveys and eight drug utilisation studies, 50% achieved all objectives, the other studies partially due to limitations. Two studies concluded that risk minimisation measures were overall effective, two were effective with variation across countries, two were partially effective and four studies showed limited effectiveness. Two studies were deemed inconclusive due to limitations. The reasons for the limited effectiveness of risk minimisation may be explored using mixed-method approaches. Assessment of study feasibility and a priori discussion of effectiveness measurements is important. CONCLUSION: Despite limitations, impact research adds value to regulatory decision-making by addressing knowledge gaps and providing additional information on unintended consequences of regulatory interventions. Our recommendations will help to improve planning, conducting and interpretating future impact studies.

Drugs associated with reversible cerebral vasoconstriction syndrome: A pharmacovigilance study in vigiBase®.

BACKGROUND: Data on drug-induced reversible cerebral vasoconstriction syndrome (RCVS) are scarce. We aimed to describe RCVS characteristics with drugs previously identified as associated with RCVS and investigate potential signals related to other drugs. METHODS: VigiBase® was queried for all reports of RCVS until 31 May 2023. A descriptive study was performed on reports concerning drug classes known to precipitate RCVS. To identify new drugs, a disproportionality analysis was conducted. RESULTS: In total, 560 reports were included. RCVS occurred in patients aged between 45-64 years (40%) and 18-44 years (35%), mainly in females (72.5%). Drugs were antidepressants (38.4%), triptans (6.4%), nasal decongestants (3.7%) and immunosupressants (8.7%). In 50 cases, antidepressants were in association with drugs known to precipitate RCVS. The median time to onset was 195 days for antidepressants and much shorter (1-10 days) for triptans, nasal decongestants and immunosuppressants. The outcome was favorable in 87% of cases, and fatal in 4.4%. We found a disproportionality signal with 14 drugs: glucocorticoids, bupropion, varenicline, mycophenolic acid, aripiprazole, trazodone, monoclonal antibodies (erenumab, ustekinumab and tocilizumab), leuprorelin and anastrozole. CONCLUSIONS: The present study confirms the role of vasoconstrictors in the onset of RCVS, particularly when used in combination and found potential signals, which may help clinicians envisage an iatrogenic etiology of RCVS.

Reuse of Adverse Effect Reports from the French National Agency of Medicines: A Visual Analytic Tool to Improve Patient Safety.

Adverse drug reaction are defined as "harmful or unpleasant reaction, resulting from an intervention related to the use of a medicinal product". In France, adverse effects due to medicines are reported to the French National Agency of Medicines (ANSM) by the healthcare professionals or consumers. The objective of this study was to implement a tool that facilitates the utilization of ANSM reports by synthesizing information to effectively inform prescribers and users. We focused on 3 psychotropic classes: antidepressants, antipsychotics and anxiolytics. We extracted relevant data from the ANSM website through a webscraping process, based on the names of molecules in these 3 classes: antidepressants, antipsychotics, and anxiolytics. We implemented a web interface with R Shiny that provides three panels: (i) a presentation of the active ingredient with the fewest reports for a selected adverse effect category, (ii) the adverse reactions for a selected active ingredient ranked in descending order, and (iii) a comparison of two active ingredients where, for each adverse effect, the active ingredient with the fewest reported adverse drug events (ADEs) is displayed. Our application allows for synthesizing information to effectively inform prescribers and users. In the ANSM existing interface, molecules can only be viewed one by one, and the ratio needs to be calculated manually, making it difficult to compare molecules. It is important to note that this is not a prescription assistance device but rather for informational purposes. In the future, the application may be expanded to include other categories of molecules. Finally, the indicators provided by our tool could be compared to those from other pharmacovigilance databases.

Causal Deep Learning for the Detection of Adverse Drug Reactions: Drug-Induced Acute Kidney Injury as a Case Study.

Causal Deep/Machine Learning (CDL/CML) is an emerging Artificial Intelligence (AI) paradigm. The combination of causal inference and AI could mine explainable causal relationships between data features, providing useful insights for various applications, e.g. Pharmacovigilance (PV) signal detection upon Real-World Data. The objective of this study is to demonstrate the use of CDL for potential PV signal validation using Electronic Health Records as input data source.

Awareness, knowledge, attitude, and practice of adverse drug reaction reporting among health workers in primary health centres participating in seasonal malaria chemoprevention campaign in Nigeria in 2022: a cross-sectional survey.

BACKGROUND: Evaluating health workers' knowledge and practice of adverse drug reaction (ADR) reporting is an important step in identifying gaps in quality ADR reporting during public health interventions like the seasonal malaria chemoprevention (SMC) campaign. Pharmacovigilance (PV) monitoring is vital in SMC due to the number of children exposed to malaria medicines for a period of 4 or 5 months during the campaign. In Nigeria more than 10 million children are exposed to SMC medicines every year. The scale of this intervention emphasised the need for efficient and effective safety monitoring during the campaign. Thus, the objective of this study was to evaluate healthcare workers' (HCW) awareness, knowledge, attitude and practice (KAP) of ADR reporting in health facilities participating in SMC campaign to identify pharmacovigilance gaps which may suggest possible ways to ensure safety during the campaign. METHODS: World Health Organization's service availability and readiness assessment (SARA) recommendations were used to sample 2,598 out of 5,195 used as supervising health facilities (HFs) during the 2022 SMC campaign across nine states of the country. Out of the sampled HFs, 2,144 eligible and consented health facility workers (HFWs) were assessed for awareness, and KAP of ADR using the validated 45-item self-administered questionnaire. The data was analysed using descriptive statistics and correlation analysis at p < 0.05. RESULTS: The majority of the respondents are males (n = 1,333, 62.2%). The HFWs showed good awareness (n = 2,037, 95.0%) of pharmacovigilance (PV). However, only 809 (37.7%) of them had good knowledge scores. The mean ADR reporting attitude score (85.0 ± 15.3%) was good with many of the respondents (n = 1,548, 72.2%) having a good score. However, the respondents' ADR practice was suboptimal, only 1,356 (63.2%) of them had encounters with ADR, and a lot of negative perceived barriers to ADR reporting were identified in the study. For example, 493 (23%) believed that ADRs were not reported because they were not serious and life-threatening while 248 (11.6%) reported a fear of liability. Correlation analysis revealed female gender (r = 0.163, p < 0.001), older age (r = 0.207, p < 0.001) and years of practice (r = 0.050, p = 0.021) as factors significantly associated with ADR knowledge and attitude scores. CONCLUSION: The study indicated that HCWs across health facilities participating in SMC campaigns have ADR reporting knowledge and practice gaps. The study suggest training alone may not be effective in addressing gaps in ADR reporting. In addition to PV training, implementers can include continuous mentoring of health care workers or other similar interventions as part of strategy to improve ADR reporting. Also, context specific strategies to improve ADR reporting among health care worker needs to be implemented to address under-reporting of ADRs during SMC campaigns and other malaria public health interventions.

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.

Long-term hepatobiliary disorder associated with trastuzumab emtansine pharmacovigilance study using the FDA Adverse Event Reporting System database.

Trastuzumab emtansine (T-DM1) is widely utilized as a second-line and subsequent treatment for metastatic HER2+ breast cancer and has shown promise in early breast cancer treatment, particularly in adjuvant settings for residual disease after neoadjuvant chemotherapy. However, concerns have arisen regarding long-term hepatic adverse drug reactions (ADRs) not identified in clinical trials. We investigated potential safety signals of T-DM1 in hepatobiliary disorders and the time-to-onset of ADRs using the FDA Adverse Event Reporting System (FAERS) database. Suspected ADRs were extracted and divided into two groups: T-DM1 (N = 3387) and other drugs (N = 11,833,701). Potential signal for T-DM1 in hepatobiliary disorder were identified (reporting odds ratio [ROR] = 5.66, 95% confidence interval [CI] = 5.11-6.27; information component [IC] = 2.35, 95% Credibility Interval [Crl] = 2.18-2.51). A breast cancer indicated subgroup analysis (2519 T-DM1; 172,329 other drugs) also identified a potential safety signal (ROR = 3.28, 95% CI = 2.92-3.68; IC = 1.53, 95%CrI = 1.35-1.71). The median time-to-onset for T-DM1-associated hepatobiliary disorders was 41 days. For prolonged and chronic hepatobiliary disorders, median times were 322.5 and 301.5 days, respectively. These findings highlight the need for further research to inform clinical decisions on optimal T-DM1 treatment duration, balancing benefits with potential adverse reactions.

Adverse events of tissue plasminogen activators in acute myocardial infarction patients: a real-world and pharmacovigilance database analysis.

BACKGROUND: Tissue plasminogen activator (tPA) is recommended as the preferred thrombolytic therapy for acute myocardial infarction (AMI). This study aimed to explore tPA-related adverse events (AEs) reported in the United States Food and Drug Administration Adverse Event Reporting System (FAERS), assess the potential safety of three preferred tPA therapies for treating AMI, and provide guidance for selecting tPA for prehospital thrombolysis. METHOD: Four algorithms, including ROR, PRR, BCPNN, and MGPS, were used to quantify the signals of Tenecteplase, Reteplase, and Alteplase related AEs and compare the differential degrees of the three tPA-associated AEs in the actual data. RESULT: We detected 18 signals of Tenecteplase-induced AE, 29 signals of Reteplase-induced AE, and 22 signals of Alteplase-induced AE. Among the three drugs, Tenecteplase had the highest signal intensity for intracranial hemorrhage-related AE, followed by Alteplase. Besides, Reteplase had the highest signal intensity for procedure-related AE and Alteplase had the highest signal intensity for arrhythmia-related AE. The time-onset analysis indicates that we should be vigilant for AEs, especially within the first week and the first 1-2 days after medication. CONCLUSION: This study identified and compared the signals of AE related to Tenecteplase, Reteplase, and Alteplase in AMI patients.

Integrase inhibitor drugs during pregnancy and congenital anomalies: A case/non-case study from the global pharmacovigilance database VigiBase®.

In 2018, a significant neural tube defects (NTD) signal was reported after pre-conceptional exposure to dolutegravir, but was not confirmed in further analysis. Since 2019, dolutegravir-based regimen, an integrase inhibitor (INI), is recommended by WHO as the most-effective first-line therapy in all patients living with HIV. To explore the potential INI-related teratogenic effect, we searched disproportionate signals between exposure to INI-class drugs and congenital anomalies, compared to non-INI drugs, using the international pharmacovigilance database, VigiBase®. We selected all the reports registered in VigiBase® between 01/01/2007 and 30/03/2021 on any antiretroviral drug-related fetal or neonatal adverse drug reactions, declared either in children (<2 years) exposed in utero or in pregnant women (12-50 years). A case/non-case study was conducted to detected signals between congenital anomalies and prenatal exposure to any INI-class drug, compared to non-INI drugs, by estimating adjusted reporting odds ratios (aROR) with 95% confidence intervals (95%CI). We identified 2521 unique reports, among which 664 (26.3%) were related to INI-class use. Overall, 520 congenital anomalies were cited from 327 unique reports, of whom 31.0% were INI-related. Compared to non-INI drugs, no significant disproportionate reporting signal between prenatal exposure to INI-class drugs and congenital anomalies was found (aROR 1.13; 95% CI:0.85-1.51). However, specific significant signals were reported for raltegravir/elvitegravir/dolutegravir drug exposure and urinary malformations (aROR 2.43; 95%CI:1.08-5.43), digestive malformations (aROR 3.09; 95%CI:1.22-7.84), and NTDs (aROR 3.02; 95%CI:1.09-8.37). Although specific congenital anomalies signals associated with raltegravir/elvitegravir/dolutegravir exposure were notified, causal relationship needs to be further investigated in prospective studies.

Drug-associated porphyria: a pharmacovigilance study.

BACKGROUND: The potentially fatal attacks experienced by porphyria carriers are triggered by various porphyrinogenic drugs. However, determining the safety of particular drugs is challenging. METHODS: We retrospectively used the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) to identify drugs associated with porphyria as an adverse event (AE) extracted from data from January 2004 to March 2022. The associated search terms included "Porphyria," "Porphyria screen," "Porphyria non-acute," "Porphyria acute," "Acquired porphyria," and "Pseudoporphyria." Signal mining analysis was performed to identify the association between drugs and AEs by four algorithms, namely the reporting odds ratio, proportional reporting ratio, Bayesian confidence propagation neural network, and multi-item gamma Poisson shrinker. RESULTS: FAERS reported 1470 cases of porphyria-related AEs, and 406 drugs were screened after combining trade and generic names. All four algorithms identified 52 drugs with signals. The characteristics of all the reports and signaling drugs were analyzed. CONCLUSIONS: This is the first report of drug-associated porphyria that provides critical information on drug porphyrogenicity, facilitating rational and evidence-based drug prescription and improving the accuracy of porphyrogenicity prediction based on model algorithms. Moreover, this study serves a reference for clinicians to ensure that porphyrinogenic drugs are not prescribed to carriers of porphyria genetic mutations.

Spectrum of psychiatric adverse reactions to cyclin-dependent kinases 4/6 inhibitors: A pharmacovigilance analysis of the FDA adverse event reporting system.

BACKGROUND: The emergence of cyclin-dependent kinases 4/6 inhibitors (CDK4/6i) represented a major breakthrough in the treatment of breast cancer over the past decade. In both clinical trials and real-world settings, it was observed that patients using CDK4/6i might experience psychiatric adverse events (PAEs). Herein, we conducted a pharmacovigilance study to comprehensively assess the correlation between CDK4/6i and PAEs. METHOD: We obtained individual case safety reports submitted to the FDA Adverse Events Reporting System (FAERS) during the period from January 2015 to December 2023. In disproportionality analysis, the reporting odds ratio (ROR) and information component (IC) values were calculated for each adverse event-drug combination. Univariate logistic regression analysis was utilized to explore factors associated with PAEs following CDK4/6i treatment. RESULTS: A total of 95,591 reports related to CDK4/6i were identified, with 6.72% reporting PAEs, and this proportion exhibited an annual upward trend. Based on the ROR and IC values, 17 categories of PAEs were defined as CDK4/6i-related PAEs. Among these PAEs, insomnia, stress, eating disorder, depressed mood, and sleep disorder were very common, each accounting for over 10% of CDK4/6i reports. Ribociclib showed the highest risk signal of CDK4/6i-related PAEs (ROR = 1.89[1.75-2.04], IC025 = 0.79), followed by palbociclib (ROR = 1.47[1.41-1.53], IC025 = 0.49), while abemaciclib did not exhibit a significant signal (ROR = 0.52[0.44-0.62], IC025 = -1.13). Female sex, younger age and weight exceeding 80 kg were significant risk factors for the incidence of CDK4/6i-related PAEs. CONCLUSIONS: Using data from a real-world, large-scale spontaneous reporting system for adverse drug reactions, our study delineated the spectrum of PAEs to CDK4/6i. This potentially offered valuable insights for healthcare professionals to manage the risk of PAEs in patients receiving CDK4/6i treatment, particularly those with psychiatric disorders.

Hypersensitivity Reactions Induced by Iodinated Contrast Media in Radiological Diagnosis: A Disproportionality Analysis Based on the FAERS Database.

PURPOSE: This study aimed to evaluate the Pharmacovigilance (PV) and severity of hypersensitivity reactions induced by non-ionic Iodinated Contrast Media (ICM) in the radiology diagnosis reported to the United States Food and Drug Administration Adverse Event Reporting System (FAERS). METHODS: We retrospectively reviewed the reports of ICM-induced hypersensitivity reactions submitted to the FAERS database between January 2015 and January 2023 and conducted a disproportionality analysis. The seven most common non-ionic ICM, including iohexol, iopamidol, ioversol, iopromide, iomeprol, iobitridol, and iodixanol, were chiefly analyzed. Our primary endpoint was the PV of non-ionic ICM-induced total hypersensitivity events. STATA 17.0 MP was used for statistical analysis. RESULTS: In total, 35357 reports of adverse reaction events in radiology diagnosis were retrieved from the FAERS database. Among them, 6181 reports were on hypersensitivity reaction events (mean age: 57.1 ± 17.8 years). The hypersensitivity reaction-related PV signal was detected for iohexol, ioversol, iopromide, iomeprol, iobitridol, and iodixanol, but not for iopamidol. The proportion of iomeprol-induced hypersensitivity reactions and the probability of ioversol-induced severe hypersensitivity reactions have been found to be significantly increased. CONCLUSION: The probability and severity of hypersensitivity reaction events in non-ionic ICM are different. Iohexol, ioversol, iopromide, iomeprol, iobitridol, and iodixanol have higher risks compared to iopamidol. In addition, the constituent ratio of hypersensitivity reactions induced by iomeprol is significantly increased, and the associated probability induced by ioversol is significantly increased.

A replication study using the World Health Organization pharmacovigilance database (VigiBase®) to evaluate whether an association between ketamine and esketamine and alcohol and substance misuse exists.

BACKGROUND AND OBJECTIVES: Ketamine and esketamine are increasingly prescribed in the treatment of resistant mood disorders and persons at risk of suicide. Ketamine is a drug of misuse with increasing non-therapeutic use in the general population. Herein, our aim was to determine whether ketamine and/or esketamine are disproportionately associated with reports of substance and/or alcohol misuse. METHODS: Replicating a similar analysis recently conducted using the Food and Drug Administration Adverse Event Reporting System (FAERS) database, we identified cases of "alcohol problem, alcoholism, alcohol abuse, substance dependence, substance use disorder (SUD), substance abuse, drug dependence, drug use disorder and drug abuse" in association with ketamine and esketamine reported to the World Health Organization Pharmacovigilance Database (WHO VigiBase). We searched the database from inception to January 2024. The reporting odds ratio (ROR) of each of the aforementioned parameters was calculated; acetaminophen was used as the control. The numerator of the equation represents the number of cases (n) and the denominator represents the total cases of psychiatric disorders (N). Significance was obtained when the lower limit of the 95 % confidence (CI) > 1.0. RESULTS: The RORs for ketamine was increased for most parameters (i.e., alcohol abuse (3.24), substance dependence (12.48), substance use disorder (170.44), substance abuse (2.94), drug dependence (2.88), drug use disorder (11.54) and drug abuse (2.85), respectively). With respect to esketamine, the RORs were observed to be different from ketamine insofar as we observed a reduction in the RORs for three parameters (i.e., substance abuse (0.41), drug dependence (0.083) and drug abuse (0.052), respectively). The IC025 values were significant for ketamine in cases of alcohol abuse (0.35), substance dependence (0.50), substance use disorder (2.77), substance abuse (0.83), drug dependence (0.97), drug use disorder (1.95) and drug abuse (0.94). Additionally, oxycontin showed significant IC025 values for substance use disorder (0.0014), substance abuse (0.042), and drug dependence (0.17). CONCLUSION: Esketamine was not associated with an increased ROR for any parameter of alcohol and/or substance use disorder. Mixed results were observed with ketamine with some RORs increased and others decreased. Estimating RORs using a pharmacovigilance database does not establish causation in the case of elevated RORs and cannot be assumed to be a therapeutic effect when lower RORs were observed.

An Awareness of Pharmacovigilance Among Healthcare Professionals Due to an Underreporting of Adverse Drug Reactions Issue: A Systematic Review of the Current State, Obstacles, and Strategy.

BACKGROUND: Healthcare professionals play an essential role in reporting adverse drug reactions as part of pharmacovigilance activities. However, adverse drug reactions reported by healthcare professionals remain low. OBJECTIVE: The aim of this systematic review was to investigate healthcare professionals' knowledge, awareness, attitude, and practice on pharmacovigilance and adverse drug reaction reporting, explore the causes of the underreporting issue, and provide improvement strategies. METHODS: This systematic review was conducted using four electronic databases for original papers, including PubMed, Scopus, Google Scholar, and Scholar ID. Recent publications from 1st January 2012 to 31st December 2022 were selected. The following terms were used in the search: "awareness", "knowledge", "adverse drug reaction", "pharmacovigilance", "healthcare professional", and "underreporting factor". Articles were chosen, extracted, and reviewed by the two authors. RESULTS: Twenty-five studies were selected for systematic review. This review found that 24.8%-73.33% of healthcare professionals were unaware of the National Pharmacovigilance Center. Around 20%-95.7% of healthcare professionals have a positive attitude toward pharmacovigilance and adverse drug reaction reporting, while 12%-60.8% of healthcare professionals have experience reporting any adverse drug reaction in their practice. The most frequently highlighted barriers to pharmacovigilance were a lack of awareness and knowledge regarding what, when, and to whom to report. CONCLUSION: Underreporting issues require immediate attention among healthcare professionals due to a lack of awareness and knowledge of pharmacovigilance and adverse drug reaction reporting. Educational and training program interventions have been suggested by most studies to address these issues.

A real-world disproportionality analysis of cyclosporine from the FDA Adverse Event Reporting System (FAERS) database.

Cyclosporine is an immunosuppressant used to prevent organ rejection in kidney, liver, and heart allogeneic transplants. This study aimed to assess the safety of cyclosporine through the analysis of adverse events (AEs) related to cyclosporine in the US Food and Drug Administration Adverse Event Reporting System (FAERS). To detect AEs associated with cyclosporine, a pharmacovigilance analysis was conducted using four algorithms on the FAERS database: reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM). A statistical analysis was performed on data extracted from the FAERS database, covering 19,582 case reports spanning from 2013 to 2022. Among these cases, 3,911 AEs were identified, with 476 linked to cyclosporine as the primary suspected drug. Cyclosporin-induced AEs targeted 27 System Organ Classes (SOCs). Notably, the highest case at the SOC level included eye disorders, injury, poisoning, and procedural complications, as well as immune system disorders, all of which are listed on the cyclosporine label. Furthermore, we discovered novel potential AEs associated with hepatobiliary disorders, among others. Moreover, unexpected adverse drug reactions (ADRs), such as biliary anastomosis complication and spermatozoa progressive motility decrease, were identified. Importantly, these newly identified ADRs were not mentioned on the cyclosporine label, which were involved in injury, poisoning, and procedural complications, and investigations at the SOC level. The study used pharmacovigilance analysis of FAERS database to identify new and unexpected potential ADRs relating to cyclosporine, which can provide safety tips for the safe use of cyclosporine.

Exploring the Relationship Between Atorvastatin and Memory Loss: A Comprehensive Analysis Integrating Real-World Pharmacovigilance and Mendelian Randomization.

BACKGROUND AND OBJECTIVE: Atorvastatin is a drug widely used to prevent cardiovascular and cerebrovascular diseases. Current observational studies suggest that atorvastatin may be associated with cognitive dysfunction (especially memory loss). However, some studies have suggested that dyslipidemia may be an important factor in cognitive dysfunction. The purpose of this study was to perform a pharmacovigilance analysis using real-world data from the US Food and Drug Administration's Adverse Event Reporting System (FAERS) to assess whether memory loss is an adverse effect of atorvastatin and to further clarify its causality through Mendelian randomization (MR). METHODS: We extracted real-world data from the FAERS database (Quarter 1 2004 to Quarter 1 2023). Disproportionality analysis methods and measures of association such as the reporting odds ratio (OR), proportional reporting ratio, Bayesian confidence interval progressive neural network, and polynomial Gamma Poisson distribution reduction were used to assess whether memory loss was an adverse effect of atorvastatin. In addition, we used MR to evaluate causality in depth. RESULTS: In the pharmacovigilance analysis of atorvastatin, we extracted four datasets of clinical symptoms associated with memory loss from the FAERS database [Amnesia (n = 1196), Memory impairment (n = 840), Transient global amnesia (n = 38), and Retrograde amnesia (n = 9)]. The reporting OR, proportional reporting ratio, Bayesian confidence interval progressive neural network, and Gamma Poisson distribution reduction all showed positive results for amnesia, transient global amnesia, and retrograde amnesia, while the reporting OR and Bayesian confidence interval progressive neural network also showed positive results for memory disorders. Thus, memory loss was a frequent side effect of atorvastatin. The MR analyses were used to further evaluate the association between statins and memory loss. The results of the MR analysis (statins and memory loss) are as follows: Ivw (mre) (ß = 0.11 [OR = 1.11], P = 0.01 < 0.05) and the OR and ß directions of MR-Egger and weighted mode were the same. The results of the MR analysis (statins and mitochondrial DNA copy number) are as follows: Ivw(mre) (ß = -0.03 [OR = 0.96], P < 0.01) and the OR and ß direction of MR-Egger and weighted mode are the same. The results of the MR analysis (DNA copy number and memory loss) are as follows: Ivw(ß = - 0.06 [OR = 0.94], P = 0.04 < 0.05) and the OR and ß direction of MR-Egger and weighted mode were the same. The pleiotropy test did not find horizontal diversity in our results. CONCLUSIONS: This study suggests that memory loss is a notable adverse event associated with atorvastatin and provides evidence indicating a potential causal relationship between atorvastatin and memory loss. We also found that statins may further affect memory by affecting mitochondrial function. Therefore, in the clinical use of atorvastatin, it is important to carefully monitor the changes in cognitive function of patients. Second, a pharmacovigilance analysis combined with MR was used in this study to provide a new approach for the study of adverse drug reactions. This comprehensive analysis method helps to evaluate the safety of drugs and the risk of adverse reactions more comprehensively and provides doctors with a more accurate clinical decision-making basis.