Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database

The atypical antipsychotics and sexual dysfunction: a pharmacovigilance-pharmacodynamic study

Background

Atypical antipsychotics (AAPs)-induced sexual dysfunction (SD) is a frequent issue in clinical practice, often underestimated by clinicians and not extensively researched. The current study aimed to quantify the strength of association between the use of different AAPs and SD using real-world data from the FDA Adverse Event Reporting System (FAERS), as well as investigate the receptor mechanisms that are involved.

Methods

Data from the FAERS database from the first quarter of 2004 to the third quarter of 2023 were queried through OpenVigil 2.1. Disproportionality analysis was estimated using the reporting odds ratio (ROR) and information component (IC) methods, and linear regression was used to investigate the relationship between ROR and receptor occupancy which was estimated using in vitro receptor binding profiles.

Results

Our analysis yielded 4839 reports that co-mentioned AAP and SD events, and the findings revealed statistical associations between 12 AAPs and SD. The highest signal value was identified for iloperidone reporting retrograde ejaculation with iloperidone (ROR = 832.09, ROR025 = 552.77; IC = 9.58, IC025 = 6.36), followed by compulsive sexual behavior with aripiprazole (ROR = 533.02, ROR025 = 435.90; IC = 7.30, IC025 = 5.97), and psychosexual disorder for aripiprazole (ROR = 145.80, ROR025 = 109.57; IC025 = 6.47, IC025 = 4.86). Different characteristics of the SD side effects in each AAPs were discovered after further data mining. Regression analysis revealed potential effects for receptor occupancy of D2, D3, and 5-HT1A receptors on ROR. However, no significant correlation persisted following sensitivity analyses.

Conclusion

This is the first study to investigate the AAP-SD associations by using FAERS. In this study, we report for the first time a significant association between aripiprazole and SD based on real-world data. The study suggests that different AAPs have varying levels of association with SD, and the D2, D3, and 5-HT1A receptor occupancy may contribute to potential mechanisms. The findings of this study warrant further validation of more studies and clinical causality assessment.

Comparison of safety of acetaminophen and ibuprofen in minors: based on the FAERS database

OBJECTIVE

To investigate adverse events(ADEs) associated with the use of paracetamol and ibuprofen in people under 18 years of age.

BACKGROUND

The use of NSAIDs reached a peak as a result of the spread of COVID-19 in previous years. Minors, as a special population, need to pay more attention to the use of corresponding drugs and the occurrence of adverse events (ADEs).

METHODS

ADEs report data of the two drugs were extracted from the FDA Adverse Event Reporting System(FAERS) from the first quarter of 2014 to the third quarter of 2022.

RESULTS

The use of the two drugs in this population was primarily associated with injury, poisoning and surgical complications. The psychiatric disorders produced by the use of acetaminophen(12.6%) and ibuprofen(9.2%) in the adolescent group were significantly higher than those in the other age groups. The use of acetaminophen in the four age groups involved hepatobiliary disorders was more significantly (10.3%, 8.1%, 9.1%, 11.5%), while the use of ibuprofen was more obviously involved in renal and urinary disorders(5.0%, 6.2%, 9.6%, 7.1%).

CONCLUSIONS

The use of acetaminophen and ibuprofen in children of different age groups has different characteristics. Pediatric clinical pharmacists can provide medication monitoring to minimize ADEs based on these characteristics.

Cardiac and metabolic safety profile of antipsychotics in youths: A WHO safety database analysis

A significant heterogeneity prevails in antipsychotics (APs) safety monitoring recommendations. Youths are deemed more vulnerable to cardiometabolic side effects. We aimed to assess age-dependent reporting of cardiac and metabolic disorders in youths, relying on the WHO safety database (VigiBase®). VigiBase® was queried for all reports of cardiac, glucose, lipid and nutritional disorders involving APs. Patients <18 years were classified as pediatric population. Disproportionality analyses relied on the Information Component (IC): the positivity of the lower end of its 95 % confidence interval was required to suspect a signal. We yielded 4,672 pediatric reports. In disproportionality analysis, nutritional disorders were leading in youths (IC 3.9 [3.9-4.0]). Among healthcare professionals' reports, stronger signals were detected in youths than in adults. Children had the greatest signal with nutritional disorders (IC 4.7 [4.6-4.8]). In adolescents, aripiprazole was ascribed to non-alcoholic steatohepatitis (NASH). Our findings, based on real-world data, support the hypothesis of a greater propensity for nutritional disorders in youths, despite limitations of pharmacovigilance studies. We suggest specific safety profiles, such as aripiprazole and NASH. Pending more answers from population-based studies, a careful anamnesis should seek for risk factors before AP initiation. A cautious monitoring is warranted to allow earlier identification of side effects.

Signal mining study of severe cutaneous adverse events of valaciclovir or acyclovir based on the FAERS database

OBJECTIVE

This study aimed to explore a comprehensive empirical investigation and assess SCARs related to valaciclovir or acyclovir based on FAERS database from FDA, thus providing a theoretical foundation for the rational application of drugs in clinic.

METHODS

SCARs reports relevant to valaciclovir or acyclovir were searched in FAERS database from the 2004 Q1 to 2023 Q2. These data were further mined by a proportional analysis and Bayesian approach to detect signals of SCARs caused by two drugs. Meanwhile, the clinical characteristics, onset time, correlation, and stratification analysis of the two drugs in SCARs were analyzed.

RESULTS

Both drugs exhibited positive signals for drug reaction with DRESS, AGEP, TEN, SJS-TEN overlap and SJS. The median onset time of SCARs caused by valaciclovir or acyclovir was 30 days vs 10 day for DRESS, 11 days vs 9 days for AGEP, 17 days vs 12 days (TEN) and 12 days vs 8 days (SJS). Excluding the effect of combinational drugs, there was an association between the two antiviral drugs and SCARs.

CONCLUSION

By analyzing the FAERS database, the risk trends of SCARs caused by valaciclovir or acyclovir have been identified, providing valuable insights to recognize various types of SCARs in clinics.

Drug-associated kidney injury in children: a disproportionality analysis of the FDA Adverse Event Reporting System

Drug-associated kidney injury is related to longer hospitalization and increased risk of chronic kidney disease and mortality. However, there is currently a lack of large population studies on drug-associated kidney injury in children. This study aimed to study perform data mining to generate hypotheses on drugs, which may deserve to be assessed as per their potential risk of increasing kidney injury in children. We extracted and analyzed reports on drugs associated with kidney injury in children in the FDA Adverse Event Reporting System (FAERS). We conducted a disproportionality analysis using proportional reporting ratio (PRR) to evaluate the association between drugs and kidney injury in children. Meanwhile, comparisons were performed with drug labels to identify drugs that, despite not having kidney injury currently mentioned in their labels, may potentially be associated with risks of kidney injury in children. A total of 6347 children had drug-associated kidney injury in the FAERS database. The top five drugs with the highest PRR were gentamicin (PRR = 12.28, N = 157 cases, Chi-Squared = 1602.77), piperacillin-tazobactam (PRR = 9.77, N = 129 cases, Chi-Squared = 1003.24), amlodipine (PRR = 8.98, N = 271 cases, Chi-Squared = 1861.46), vancomycin (PRR = 8.91, N = 295 cases, Chi-Squared = 1998.64), and ceftriaxone (PRR = 8.00, N = 251 cases, Chi-Squared = 1494.02). According to drug labels, 9 drugs (9/30) were classified as potential nephrotoxins.

CONCLUSIONS

Approximately one-third of drugs associated with kidney injury in children do not list kidney injury as a side effect in their drug labels. Future studies are therefore warranted to evaluate whether these drugs are associated with such a risk.

WHAT IS KNOWN

• Nephrotoxic drugs are an increasingly common cause of acute kidney injury in hospitalized children. • Currently, no study has systematically combed drugs associated with kidney injury in children.

WHAT IS NEW

• Approximately a third of drugs showing signals for potential kidney injury in children in data mining do not mention this side effect in their drug labels. • This study provides data on drugs needing further study to determine whether they might increase the risk of kidney injury in children.

Using disproportionality analysis to explore the association between periostitis and triazole antifungals in the FDA Adverse Event Reporting System Database

Though triazole antifungals are the first choice for preventing and treating invasive fungal infections, periostitis caused by voriconazole has been described in emerging case reports; however, no studies exist on this association in real-world clinical settings. Our study aimed to identify the association between periostitis and triazole antifungals by analyzing data from the FDA Adverse Event Reporting System (FAERS). We extracted and analyzed reports on the association between periostitis and triazole antifungals in FAERS from the first quarter of 2004 to the second quarter of 2022 using OpenVigil 2.1. Disproportionality analysis was performed to evaluate the association between periostitis and triazole antifungals, and chi-squared (χ²), relative reporting ratio (RRR), reporting odds ratio (ROR), proportional reporting ratio (PRR), and Bayesian confidence propagation neural networks (BCPNN) of information components (IC) were reported. In total, 143 patients experienced periostitis while using voriconazole. Disproportionality analysis identified an association between periostitis and voriconazole (χ² = 82,689.0, RRR = 583.6, 95%CI [472.4, 721.1], PRR = 1808.9, 95%CI [1356.0, 2412.9], ROR = 1831.7, 95%CI [1371.6, 2446.3], IC = 9.2, 95%CI [8.6, 9.8]). However, no safety signals were observed between periostitis and other triazole antifungals. When stratified by sex and age, disproportionality analysis identified positive signals between periostitis and voriconazole. The possible association between periostitis and voriconazole should attract sufficient attention in clinical practice. Alternative treatment with other triazole antifungals can be considered, and causality needs to be verified in further prospective studies.

Data mining for adverse drug reaction signals of daptomycin based on real-world data: a disproportionality analysis of the US Food and Drug Administration adverse event reporting system

BACKGROUND

Previous reports on daptomycin's adverse drug reactions (ADRs) have been insufficient, often because of limited data. Pharmacovigilance risk signal detection is innovative and has been applied to the safety monitoring and reevaluation of drugs post-marketing.

AIM

The study aimed to promote safe daptomycin prescribing by mining and evaluating the daptomycin ADR signals from the US Food and Drug Administration Adverse Event Reporting System (FAERS).

METHOD

A disproportionality analysis (reporting odds ratio ROR and proportional reporting ratio PRR) was utilized for FAERS data mining from the first quarter of 2004 to the second quarter of 2021 (the most recent quarterly data at the time of the study). Preferred Terms of ADR reports were categorized by System Organ Class (SOC) based on the Medical Dictionary for Regulatory Activities.

RESULTS

This study retrieved 12,221 cases within the reporting period. A total of 140 repetitive signals were obtained by ROR and PRR, of which 53 new ADR signals were not recorded in the drug labels/datasheets. The top three ADR reports were "blood creatine phosphokinase elevation" (ROR, 56.66, 95% confidence interval (CI) 51.07-62.87, PRR 51.94), "eosinophilic pneumonia" (ROR 696.71, 95%CI 603.21-804.70, PRR 657.57), and "rhabdomyolysis" (ROR 22.85, 95%CI 19.94-26.18, PRR 21.83). The highest ROR of "antimicrobial susceptibility test resistant" was found at 9808.14. Reports of rare adverse events, such as "necrotizing fasciitis and compartment syndrome," have emerged. The significant SOCs were "Infections and Infestations" and "Investigations."

CONCLUSION

New daptomycin ADR signals were detected. Clinicians should monitor these potential ADRs in patients receiving daptomycin.

Retrospective analysis of adverse events associated with non-stimulant ADHD medications reported to the united states food and drug administration

Attention deficit hyperactivity disorder (ADHD) is one of the most common neurobehavioral disorders in children and although stimulant medications remain first line to treat the disorder, some families prefer nonstimulants. The goal is to analyze the adverse events (AE) associated with nonstimulant medications using post-marketing drug surveillance data. We aim to increase awareness and aide patient education. A retrospective study of adverse drug events with atomoxetine, clonidine, and guanfacine was performed using the Federal Drug Administration Adverse Event Reporting System (FAERS) Database. Results show that the most commonly reported AEs, as defined by FAERS, were ineffectiveness (9.91-14.15%) fatigue (8.93%), and somnolence (8.8-10.16%). Of those taking atomoxetine, suicidal and self-injurious ideation was reported to a similar degree amongst all age groups. Suicidal ideation was listed within the top 20 most reported AEs for all three medications. It is more likely that some patients will experience milder side effects. We suggest providing these data to patients to help overcome the stigma of starting medication, especially if they prefer nonstimulants. Serious AEs are still reported to a small degree, thus monitoring and consistent patient education remains important. We also recommend educating a wider demographic of patients about recognizing potential development of suicidal thoughts.

Safety of antipsychotic drugs: A systematic review of disproportionality analysis studies

Antipsychotic drugs are commonly prescribed, mainly for the treatment of schizophrenia and other psychotic disorders. Disproportionality analysis of pharmacovigilance data from national and international databases have been recently utilized to investigate the side-effect profiles of antipsychotics and have provided unique insights of their safety. Among several national and international spontaneous reporting databases the databases of the World Health Organization (VigiBase), of the European Medicines Agency (EudraVigilance) and the US Food and Drug Administration (FAERS) incorporate millions of Individual Case Safety Reports. The aim of our study was to systematically review published disproportionality analyses on antipsychotic drugs, in order to summarize the current state of methodology and potential strengths of this analysis while highlighting safety signal generated for these pharmacological group. PubMed was searched using a search algorithm combining terms for antipsychotic drugs and disproportionality analysis. A total of 39 articles were found to be eligible corresponding to 38 original disproportionality studies. Different measures of disproportionality were used in each study: reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical Bayes geometric mean (EBGM) and the information component (IC). Despite the inherent limitations of the pharmacovigilance databases disproportionality analysis provides complemented evidence from RCTs on the safety of antipsychotics, especially regarding participants often excluded from RCTs, such as pregnant and breastfeeding women, children and participants with drug abuse, comorbidities or concomitant medications.

Existence of Notoriety Bias in FDA Adverse Event Reporting System Database and Its Impact on Signal Strength

Background: Notoriety bias is defined as "a selection bias in which a case has a greater chance of being reported if the subject is exposed to the studied factor known to cause, thought to cause, or likely to cause the event of interest." This study aimed to determine the existence of notoriety bias in the FDA Adverse Event Reporting System (FAERS) database and estimate the impact of potential notoriety bias induced by safety alerts on signal estimation using disproportionality analysis. Methods: Publicly available FAERS data were downloaded and used for analysis. Thirty-one drugs which had label change/safety alert issued by FDA from 2009 to 2013 were considered. These drugs were reviewed 4 quarters before and after the safety alert notification for the existence of notoriety bias. The impact of notoriety bias induced by safety alerts was analyzed by comparing the signal strength using reporting odds ratio (ROR) and proportional reporting ratio (PRR), 2 years before and after the safety alert. Wilcoxon signed rank test was used to determine whether there were a statistically significant difference before and after the safety alert. Results: There was increased reporting for 11 drugs after the safety alert/label change by the FDA. The reporting of 20 drugs decreased or remained unchanged after the safety alert/label change by the FDA. Wilcoxon signed rank test showed that there is no statistically significant difference with respect to the number of reports before and after the safety alert (P = .330, Z = -0.974). Fourteen (45.16%) drugs had an increase in ROR, while 17 (54.83%) drugs had a decrease in ROR after safety alert issued by FDA (P = .953, Z = -0.059). Fourteen (45.16%) drugs had an increase in PRR, while 17 (54.83%) drugs had a decrease in PRR after safety alert issued by the FDA (P = .914, Z = -0.108). Conclusion: Although few FDA safety alert/warnings had a strong and immediate impact, many had no impact on reporting of AE and signal strength. This study found that overreporting due to notoriety bias does not exist in the FAERS database and the overall disproportionality in signal estimates is not altered by the safety alert.