A Critical Evaluation of Safety Signal Analysis Using Algorithmic Standardised MedDRA Queries

Propofol-associated serious adverse events: an analysis of the FAERS database

Propofol is an ultra-fast-acting intravenous anesthetic, which is rapidly metabolized primarily into inactive compounds in the live and then excreted in the urine. The purpose of this study is to explore the risk signals of propofol based on the US FDA Adverse Event Reporting System database. The risk signals of propofol-related adverse reactions in adverse event (AE) reports from 2004 to 2021 in the US FAERS were mined using ratio-report method (ROR) and the ratio-report ratio method (PRR) methods. We screened out 1651 pairs AE reports using propofol as primary suspect (PS) drugs. ROR, PRR, BCPNN and MGPS methods were used to calculate respectively, there are 363 positive preferred terms (PT) signals with 9549 cases. Among them, the top 3 adverse reactions associated with using propofol from the FAERS database were anaphylactic shock, hypotension and propofol infusion syndrome. The top 3 systems of the body associated with adverse reaction of propofol from the FAERS database were General disorders, Cardiac disorders and administration site conditions and Respiratory, thoracic and mediastinal disorders. The top 4 indication of using propofol from the FAERS database, including anaesthesia, induction of anaesthesia, sedation, general anaesthesia. There are many adverse reactions that are not included in the drug insert of propofol and involve a wide range of organs and/or systems. Caution should be exercised in the clinical use of propofol.

Post-marketing pharmacovigilance study of inclisiran: mining and analyzing adverse event data from the FDA Adverse Event Reporting System database

BACKGROUND

Inclisiran, the newest lipid-lowering drug, has not shown significant safety problems in major clinical studies. However, its recent market introduction and limited clinical use have produced few reports of adverse reactions, leaving a comprehensive understanding of its long-term safety yet to be established.

AIM

The aim of the study was to conduct a signal detection analysis of adverse events (AEs) associated with inclisiran using FDA Adverse Event Reporting System (FAERS) datasets.

METHOD

Data on AEs associated with inclisiran were collected from the FAERS database from 2021 to 2023. Signal detection was conducted using the reporting odds ratio (ROR) and the information component (IC). The analysis was standardized using the Medical Dictionary for Regulatory Activities (MedDRA) and focused on System Organ Classes (SOCs) and Preferred Terms.

RESULTS

Of 17,307,196 AE reports, 2976 were relevant to inclisiran. The male-to-female ratio of these events was 0.74:1, predominantly in patients aged 45 to 74 years. A total of 102 AE signals associated with inclisiran were identified in 15 SOCs. Among these, 86 involved muscle injuries, liver injuries, diabetes, neurocognitive dysfunction, and other events not listed on the drug label.

CONCLUSION

The findings confirm all AEs documented on the drug label and in current clinical trials while also revealing new AEs such as muscle pain, elevated liver enzymes, increased blood glucose levels, and neurocognitive dysfunction. This study contributes to real-world research data, providing valuable references for rational drug use.

Data mining and safety analysis of dual orexin receptor antagonists (DORAs): a real-world pharmacovigilance study based on the FAERS database

Objective

Using the Food and Drug Administration Adverse Event Reporting System (FAERS) database, four signal detection methods were applied to mine adverse drug events (ADEs) related to use of dual orexin receptor antagonists (DORAs) to provide reference for safe clinical use.

Research design and Methods

Data collected from Q3rd 2014 to Q4th 2023 were obtained from the FAERS database. According to the preferred terminology (PT) and systematic organ classification (SOC) of MedDRA v.26.0, the reporting odds ratio (ROR), proportional reporting ratio (PRR), multi-item gamma Poisson shrinker (MGPS), and Bayesian confidence propagation neural network (BCPNN) were used to detect ADE signals.

Results

A total of 11,857 DORAs-related adverse reactions were detected, reported with suvorexant, lemborexant, and daridorexant as the main suspected drugs was 8717584, and 2556, respectively. A higher proportion of females than males were reported (57.27% vs. 33.04%). The top 20 positive PT signals from three DORAs showed that "sleep paralysis" ranked first. "Brain fog" was stronger following daridorexant but was not detected for the other two drugs, and "sleep sex" and "dyssomnia" were stronger in suvorexant but not in the other two drugs. Additionally, some PTs occurred that were not included in drug instructions, such as "hangover" and "hypnagogic hallucination."

Conclusion

In this study, four algorithms (ROR, PRR, BCPNN, and MGPS) were used to mine the safety signals of DORAs. We identified some potential ADE signals that can promote the rational use of DORAs and improve their safety.

Analysis of new-onset seizures following use of COVID-19 vaccinations in children based on VAERS

BACKGROUND

Recently, there have been some reports of seizures related with COVID-19 vaccinations. However, no studies have systematically investigated the relationship between seizures and various COVID-19 vaccines.

RESEARCH DESIGN AND METHODS

This research aimed to analyze the characteristics and risk signals of new-onset seizures in children caused by various COVID-19 vaccines based on the data of the Vaccine Adverse Event Reporting System (VAERS). To identify potential risk signals, a disproportionality analysis was conducted. The reporting odds ratio (ROR) and the Proportional Reporting Ratio (PRR) were used to detect signals.

RESULTS

A total of 695 children with new-onset seizures events associated with COVID-19 vaccinations were retrieved from the VAERS database. Compared with influenza vaccinations, the percentage and rate of COVID-19 vaccinations related seizures was all reduced. The median onset time of seizures was 1 day after COVID-19 vaccines. No signal was detected for an association between the COVID-19 vaccines and new-onset seizures, neither when compared with influenza vaccines nor with non-COVID-19 vaccines.

CONCLUSION

No statistically significant risk signal of COVID-19 vaccine-related seizures was found in this study. However, it is still necessary to monitor the possibility of new-onset seizures when children are immunized with COVID-19 vaccines.

Dose adjustment strategy of levetiracetam in pregnant patients with epilepsy: Case report and literature review

RATIONALE

Pregnant patients with epilepsy are prone to preterm delivery, stillbirth, or cesarean section, and their mortality rate is almost 10 times higher than that of normal pregnant women. The potential negative influences of antiepileptic drugs (AEDs) on the fetus are weighed against the necessity for achieving optimal control of seizures. Treatment with AEDs during pregnancy is a major challenge for pregnant women and healthcare teams.

PATIENT CONCERNS

This paper reports two cases of young women diagnosed with pregnancy and epilepsy.

INTERVENTION

The dose of levetiracetam was adjusted under the guidance of therapeutic drug monitoring to reduce the effects of seizures on the fetus and the incidence of reproductive toxicity caused by adverse drug reactions.

OUTCOMES

Epilepsy was well controlled in the two pregnant patients, and the newborns had no genetic disorders.

LESSONS

It is recommended to regularly monitor the serum LEV level in pregnant patients with epilepsy. This practice serves as a foundation for adjusting the drug treatment plan and offering more precise guidance for medication management during pregnancy.

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

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

Drugs That Interact With Colchicine Via Inhibition of Cytochrome P450 3A4 and P-Glycoprotein: A Signal Detection Analysis Using a Database of Spontaneously Reported Adverse Events (FAERS)

BACKGROUND

Colchicine has a narrow therapeutic index. Its toxicity can be increased due to concomitant exposure to drugs inhibiting its metabolic pathway; these are cytochrome P450 3A4 (CYP3A4) and P-glycoprotein (P-gp).

OBJECTIVE

To examine clinical outcomes associated with colchicine drug interactions using the spontaneous reports of the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS).

METHODS

We conducted a disproportionality analysis using FAERS data from January 2004 through June 2020. The reporting odds ratio (ROR) and observed-to-expected ratio (O/E) with shrinkage for adverse events related to colchicine's toxicity (ie, rhabdomyolysis/myopathy, agranulocytosis, hemorrhage, acute renal failure, hepatic failure, arrhythmias, torsade de pointes/QT prolongation, and cardiac failure) were compared between FAERS reports.

RESULTS

A total of 787 reports included the combined mention of colchicine, an inhibitor of both CYP3A4 and P-gp drug, and an adverse event of interest. Among reports that indicated the severity, 61% mentioned hospitalization and 24% death. A total of 37 ROR and 34 O/E safety signals involving colchicine and a CYP3A4/P-gp inhibitor were identified. The strongest ROR signal was for colchicine + atazanavir and rhabdomyolysis/myopathy (ROR = 35.4, 95% CI: 12.8-97.6), and the strongest O/E signal was for colchicine + atazanavir and agranulocytosis (O/E = 3.79, 95% credibility interval: 3.44-4.03).

CONCLUSION AND RELEVANCE

This study identifies numerous safety signals for colchicine and CYP3A4/P-gp inhibitor drugs. Avoiding the interaction or monitoring for toxicity in patients when co-prescribing colchicine and these agents is highly recommended.

A real-world pharmacovigilance analysis of FDA adverse event reporting system database for upadacitinib

Objective: To mine the adverse drug event (ADE) signals of upadacitinib based on the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database to provide a reference for the safe clinical use of the drug. Methods: The ADE data for upadacitinib from Q1 2004 to Q1 2023 in the FAERS database were retrieved, and data mining was performed using the reporting odds ratio and proportional reporting ratio. Results: A total of 21,213 ADE reports for the primary suspect drug upadacitinib were obtained, involving 444 ADEs. Patients aged ≥60 years (21.48%) and female (70.11%) patients were at a higher risk of ADEs with upadacitinib. After data cleaning, 182 ADE signals from 19 system organ classes (SOCs) were obtained. Six of these SOCs that occurred more frequently and were not mentioned in the drug labeling information included renal and urinary system (1.09%), reproductive and breast diseases (1.14%), ear and labyrinth disorders (0.57%), psychiatric disease (0.57%), blood and lymphatic system disorders (0.57%), and endocrine disorders (0.57%). The top ten most frequent ADE signals reported for upadacitinib were mainly related to: infections and infestations (7), investigations (2), and skin and subcutaneous tissue disorders (1). The top 10 ADEs in signal intensity ranking were lip neoplasm, ureteral neoplasm, eczema herpeticum, vulvar dysplasia, mediastinum neoplasm, eosinopenia, herpes zoster cutaneous disseminated, eye ulcer, acne cystic, and Moraxella infection. The top 10 high-frequency events leading to serious adverse events were urinary tract infection (2.74%), herpes zoster (1.63%), diverticulitis (1.19%), bronchitis (0.68%), nasopharyngitis (0.68%), localised infection (0.66%), nephrolithiasis (0.66%), pulmonary thrombosis (0.66%), blood cholesterol increased (0.55%), and Pneumocystis jirovecii pneumonia (0.53%). Conclusion: Clinicians should be vigilant to upadacitinib-induced events in systems not covered in the drug labeling information and to new and highly signaled ADEs to ensure the safe and effective use of upadacitinib.

Seizures associated with antibiotics: a real-world disproportionality analysis of FAERS database

BACKGROUND

Drug-induced seizures are a common occurrence in clinical practice, with research indicating that around 6% of initial seizures are due to drug toxicity. The use of antibiotics is one such cause of drug-related seizures. Previous systematic review has identified specific antibiotics that pose a risk of seizures, but a comprehensive analysis of a large patient sample is needed to determine the risk associated with various drugs.

OBJECTIVE

This study aimed to evaluate the association between seizures and various antibiotics that are presently accessible.

METHODS

To identify potential risk signals from the US Food and Drug Administration adverse event reporting system (FAERS) database, a disproportionality analysis was conducted. The reporting odds ratio (ROR) using the frequency approach and the information component (IC) using the Bayesian approach were used to detect signals. The median time-to-onset of seizure, as well as the Weibull distribution parameters were calculated to analyze the onset time.

RESULTS

A total of 14,407,157 FAERS reports were analyzed.10 antibiotics were associated with seizures that were defined by 41 preferred terms. Onset time were aligned with the wear out failure type profile.

CONCLUSION

This study identified 10 antibiotics that showed significant associations with seizures. Imipenem-cilastatin had the highest seizure ROR.

Anaphylactic reactions to local anesthetics in dental practice: a nationwide French retrospective study

OBJECTIVES

The primary aims of the present study were (1) to quantify and characterize anaphylactic type I reactions related to local anesthetics (LAs) drawing on the French Pharmacovigilance Database System over a 35-year period and (2) to focuse on reactions associated with dental procedures. The secondary aim was to infer an incidence rate in dental practice.

MATERIALS AND METHODS

All cases of anaphylactic reactions were selected using the algorithmic Standardized MeDRA Query "anaphylactic reaction." For each reaction, comprehensive data were collected, in particular the severity of symptoms, risk factors for anaphylaxis, and allergy testing. Imputability was assessed and a crude incidence rate in dental practice was estimated.

RESULTS

The first-line search identified 416 anaphylactic reactions, mostly of grade II (138) or III (240) severity. When restricted to dental practice, this number fell to 26 (grade I: 4; grade II: 10; grade III: 11; and grade IV: 1). Lidocaine was most often involved (81.49%) and mostly associated with anaphylactic reactions of grade II and III. Overall, 11 cases of fatal anaphylaxis were recorded, but no in dental practice. In dental practice, lidocaine was also the most frequently involved LA (57.69%).

CONCLUSIONS

All these findings highlight the very low incidence of type I-IgE-mediated reactions to LA, particularly in dental practice. The incidence rate of LA anaphylctic episodes in dental practice was estimated as 0.0261 anaphylactic episodes per million LA cartridges.

CLINICAL RELEVANCE

True anaphylactic reactions to LAs do occur and may justify a thorough investigation in dental practice.

Cardiotoxicity in Biological Agent-Targeted Therapy for Rheumatoid Arthritis: ADR Signal Mining and Analysis of Food and Drug Administration Adverse Event Reporting System Database

Purpose: Biologic agent-induced cardiotoxicity is markedly concerning. Rheumatoid arthritis (RA) treated with biologic agents is known to have the potential for cardiotoxicity; however, existing clinical evidence is not adequate to explain real-world patterns of cardiotoxicity. In this study, we quantify the risk of cardiotoxicity in patients with rheumatoid arthritis treated with biological agents. Methods: Cardiotoxicity reports induced by four types of biologic agents, abatacept, adalimumab, tocilizumab, and etanercept were used to mine data from the FDA's adverse event reporting system (FAERS) database from January 1, 2004 through September 30, 2020. Reports of cardiotoxic events were analyzed using a reporting odds ratio (ROR) algorithm, the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), the multi-item gamma Poisson shrinker (MGPS), and logistic regression methods. We use the preferred term of the Medical Dictionary of Regulatory Activities to identify such events. Results: A total of 3,969 reports of cardiotoxic events were identified involving biologic agents used for RA as the suspect drugs in this study, 317 reports of abatacept, 2,137 reports of adalimumab, 273 reports of tocilizumab, and 1,242 reports of etanercept. Adalimumab was the most reported, followed by etanercept. The proportion of death and disability outcomes reported for each targeted treatment represents approximately 20-25% of the total reported severe adverse events. In addition, relatively low cardiotoxicity reporting rates were found with abatacept. Conclusion: Analysis of FAERS data offers a more precise profile on the characteristics and occurrences of cardiotoxic events. The findings are a clinical reminder to physicians that an increased vigilance concerning the cardiotoxic effects of biological agents needs to be implemented. Also, more comparative studies are required in the future to explain the mechanisms that cause these cardiac phenomena.

Design and conduct of confirmatory chronic pain clinical trials

The purpose of this article is to provide readers with a basis for understanding the emerging science of clinical trials and to provide a set of practical, evidence-based suggestions for designing and executing confirmatory clinical trials in a manner that minimizes measurement error. The most important step in creating a mindset of quality clinical research is to abandon the antiquated concept that clinical trials are a method for capturing data from clinical practice and shifting to a concept of the clinical trial as a measurement system, consisting of an interconnected set of processes, each of which must be in calibration for the trial to generate an accurate and reliable estimate of the efficacy (and safety) of a given treatment. The status quo of inaccurate, unreliable, and protracted clinical trials is unacceptable and unsustainable. This article gathers aspects of study design and conduct under a single broad umbrella of techniques available to improve the accuracy and reliability of confirmatory clinical trials across traditional domain boundaries.