Disproportionality Analysis of Stomatitis Associated with Anticancer Drugs Using the Japanese Adverse Drug Event Report Database.

INTRODUCTION: Anticancer drug-induced stomatitis can affect a patient's quality of life and the continuation of drug treatment. Although there have been reports of the occurrence of stomatitis associated with anticancer agents in clinical trials, few Japanese participants have been enrolled in clinical trials and have not been sufficiently investigated. In addition, there has been little attention on research on anticancer drugs associated with stomatitis by patient stratification with different carcinogenic sites. Therefore, the aim of this study was to determine the disproportionality associated with stomatitis for various types of anticancer drugs in different types of cancer patients using the Japanese Adverse Drug Event Report (JADER) database. METHODS: The aim of this study was to identify the disproportionality of stomatitis by analyzing the type of anticancer drug and cancer patients using the Japanese Pharmacovigilance Database. Data obtained from spontaneous reports of adverse events with more than 10 stomatitis outbreaks reported in the JADER database between April 2004 and March 2023 were analyzed. The safety signal for an adverse event was defined as the lower limit of the 95% confidence interval of the reported odds ratio of >1. RESULTS: There were 6,178 reports of drugs associated with stomatitis. Among these, 41 drugs were suggested to be associated with stomatitis, and 41 drugs were detected as signals. These drugs were classified based on their efficacy: antipyrimidines (six drugs), folate metabolism antagonists (three drugs), alkylating agents (four drugs), platinum (three drugs), topoisomerase inhibitors (three drugs), microtubule inhibitors (three drugs), mammalian target of rapamycin (mTOR) inhibitors (two drugs), kinase inhibitors (seven drugs), anti-growth factor antibodies (five drugs) immune checkpoint inhibitors (one drug), and others (four drugs). CONCLUSION: The drugs that may be associated with stomatitis were cell cycle-dependent drugs, epidermal growth factor receptor-tyrosine kinase inhibitors, and mTOR inhibitors. Moreover, this study suggested that anti-growth factor antibodies and immune checkpoint inhibitors may be associated with stomatitis development.

Relationship between Anaplastic Lymphoma Kinase Inhibitors and Epileptic Seizure Disorder: A Post-Marketing Surveillance Study.

INTRODUCTION: Anaplastic lymphoma kinase (ALK) has been to be involved in the uptake and regulation of dopamine 2 receptor (D2R), a G protein-coupled receptor expressed in various brain regions. Therefore, it is crucial to understand the relationship between ALK inhibitors and seizures is an important issue. This study investigated the relationship between ALK inhibitors and seizures. METHODS: This study investigated the relationship between ALK inhibitors and seizures through a disproportionality analysis using the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). The target drugs were the ALK inhibitors crizotinib, ceritinib, alectinib, brigatinib, and lorlatinib. The seizures covered were defined high-level group term (HLGT): "Seizures (incl. subtype)" including high-level term (HLT): "seizures and seizure disorders NEC." This study used the information component (IC), a signal score, as a Bayesian statistical method for disproportionality analysis. The signal detection criteria used in this study were the same as those reported previously: a lower limit of 95% credible interval (CrI) for IC >0. RESULTS: The signal scores of '"seizures and seizure disorders not elsewhere classified (NEC)" "for each ALK inhibitor were crizotinib (IC: -0.00052, 95% CrI: -0.38-0.27), ceritinib (IC: 1.18, 95% CrI: 0.68-1.54), alectinib (IC: 0.68, 95% CrI: 0.19-1.02), brigatinib (IC: 1.04, 95% CrI: 0.32-1.54), and lorlatinib (IC: 0.82, 95% CrI: 0.11-1.32). On the other hand, "generalized tonic-clonic seizures," "partial simple seizures NEC," "absence seizures," and "partial complex seizures" had no or few reported cases, and no signal was detected. CONCLUSION: To our knowledge, this is the first report to evaluate the relationship between ALK inhibitors and seizures using post-marketing surveillance data. These results suggest that ceritinib, alectinib, brigatinib, and lorlatinib, which are highly brain-migrating drugs, are associated with seizures.

Effects of age, sex, daily dose, comorbidity and co-medication on venlafaxine-associated cardiovascular adverse events: A pharmacovigilance analysis of the FDA Adverse Event Reporting System database.

AIMS: This study aimed to provide a comprehensive view of cardiovascular adverse events (AEs) associated with venlafaxine (VEN) therapy. METHODS: Cardiovascular AE reports for patients receiving VEN therapy were retrieved from January 2004 to December 2023 from the FDA Adverse Event Reporting System database. Effects of age, sex and daily VEN dose on the occurrence of different types of cardiovascular AEs and the influence of demographics, VEN dose, comorbidity and co-medication on death in patients with cardiovascular AEs were analysed by multivariate logistic regression analysis. RESULTS: The study included 16 110 AE reports following VEN treatment (median age: 51 years, females: 69.78%, median VEN daily dose: 100 mg/day). VEN daily dose was associated with increased risks of cardiac arrhythmias, embolic and thrombotic events, torsade de pointes/QT prolongation, ischaemic heart disease, cardiac failure, cardiomyopathy and overall cardiovascular events. The elderly (≥ 75 years), male sex, comorbidity (infections and infestations, cardiac disorders, nervous system disorders) and co-medication (quetiapine and clozapine) were related to death following VEN-associated cardiovascular AEs; however, the risk of cardiovascular death did not increase with regular VEN doses. CONCLUSIONS: Our study confirmed the association of cardiovascular AEs with VEN therapy and revealed the influencing factors for the risk of VEN-related cardiovascular AEs and death due to these events. Based on the obtained evidence, the cardiovascular health of late-elderly patients with complex comorbidity and polytherapy should be closely monitored when they receive VEN therapy. As an exploratory study, prospective studies are needed to validate our findings in the future.

Multiple Adverse Reactions Associated With the Use of Second-Generation Antipsychotics in People With Alzheimer's Disease: A Pharmacovigilance Analysis Based on the FDA Adverse Event Reporting System.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative condition leading to memory loss, cognitive impairment, and neuropsychiatric symptoms. Second-generation antipsychotics (SGAs) are commonly used to manage these neuropsychiatric symptoms, but their safety profile in patients with AD requires further investigation. OBJECTIVE: The objective was to evaluate the safety of SGAs in patients with AD by analyzing adverse drug reactions (ADRs) using the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. METHODS: This study conducted a comprehensive analysis of FAERS data from 2014 to 2023, focusing on ADRs in patients with AD treated with SGAs such as risperidone, quetiapine, olanzapine, clozapine, and aripiprazole. Descriptive, disproportionality, time, and dose analysis were performed using the Bayesian confidence propagation neural network, Weibull, and physiologically based pharmacokinetic model. RESULTS: Out of 1289 patients with AD treated with SGAs, the most common ADRs involved the nervous system, gastrointestinal system, and cardiac disorders. Disproportionality analysis identified significant positive signals in cardiac, renal, and vascular systems. Quetiapine, risperidone, and olanzapine showed more positive signals compared with clozapine and aripiprazole. Time analysis indicated that cardiovascular ADRs occurred randomly, whereas renal ADRs increased with prolonged use. Dose analysis suggested that small doses of SGAs did not elevate the risk of multiple cardiac, renal, or vascular ADRs. CONCLUSION AND RELEVANCE: The study underscores the importance of monitoring for ADRs, particularly in the cardiac and renal systems, when using SGAs in patients with AD. Future research incorporating more comprehensive clinical data is warranted to support safe and rational drug utilization.

Descriptive analysis on disproportionate medication errors and associated patient characteristics in the Food and Drug Administration's Adverse Event Reporting System.

BACKGROUND: Medication errors (MEs) are a major public health concern which can cause harm and financial burden within the healthcare system. Characterizing MEs is crucial to develop strategies to mitigate MEs in the future. OBJECTIVES: To characterize ME-associated reports, and investigate signals of disproportionate reporting (SDRs) on MEs in the Food and Drug Administration's Adverse Event Reporting System (FAERS). METHODS: FAERS data from 2004 to 2020 was used. ME reports were identified with the narrow Standardised Medical Dictionary for Regulatory Activities® (MedDRA®) Query (SMQ) for MEs. Drug names were converted to the Anatomical Therapeutic Chemical (ATC) classification. SDRs were investigated using the reporting odds ratio (ROR). RESULTS: In total 488 470 ME reports were identified, mostly (59%) submitted by consumers and mainly (55%) associated with females. Median age at time of ME was 57 years (interquartile range: 37-70 years). Approximately 1 out of 3 reports stated a serious health outcome. The most prevalent reported drug class was "antineoplastic and immunomodulating agents" (25%). The most common ME type was "incorrect dose administered" (9%). Of the 1659 SDRs obtained, adalimumab was the most common drug associated with MEs, noting a ROR of 1.22 (95% confidence interval: 1.21-1.24). CONCLUSION: This study offers a first of its kind characterization of MEs as reported to FAERS. Reported MEs are frequent and may be associated with serious health outcomes. This FAERS data provides insights on ME prevention and offers possibilities for additional in-depth analyses.

Adverse Events Following COVID-19 Vaccination in Adolescents: Insights From Pharmacovigilance Study of VigiBase.

BACKGROUND: During coronavirus disease 2019 (COVID-19) pandemic, several COVID-19 vaccines were licensed with fast-track procedures. Although these vaccines have demonstrated high immunogenicity, there has been concerns on the serious adverse events (AEs) following COVID-19 vaccination among adolescents. We aimed to analyze comparative safety of COVID-19 vaccination in adolescents. METHODS: In this pharmacovigilance study, we performed a disproportionality analysis using VigiBase, the World Health Organization's global individual case safety report (ICSR) database. To compare serious AEs reported following COVID-19 vaccines vs. all other vaccines in adolescents aged 12-17 years, ICSRs following any vaccines on adolescents aged 12-17 years were included, defining cases as reports with the AEs of interest, with all other AEs as non-cases. The AEs of interest were myocarditis/pericarditis, multisystem inflammatory syndrome/Kawasaki disease (MIS/KD), anaphylaxis, Guillain-Barré syndrome (GBS), and immune thrombocytopenia (ITP). We conducted a disproportionality analysis to estimate reporting odds ratio (ROR) with 95% confidence interval (CI) for each AE of interest, adjusted for sex by using logistic regression. RESULTS: Of 99,735 AE reports after vaccination in adolescents, 80,018 reports were from COVID-19 vaccinated adolescents (52.9% females; 56.3% America). The AEs of interest were predominantly reported as serious AE (76.1%) with mRNA vaccines (99.4%). Generally, higher reporting odds for the AEs were identified following COVID-19 vaccination in adolescents; myocarditis/pericarditis (2,829 reports for the COVID-19 vaccine vs. 35 for all other vaccines, adjusted ROR [aROR], 19.61; 95% CI, 14.05-27.39), and MIS/KD (104 vs. 6, aROR, 4.33; 95% CI, 1.89-9.88). The reporting odds for anaphylaxis (515 vs. 165, aROR, 0.86; 95% CI, 0.72-1.02), GBS (94 vs. 40, aROR, 0.64; 95% CI, 0.44-0.92) and ITP (52 vs. 12, aROR, 1.12; 95% CI, 0.59-2.09) were not significantly higher following COVID-19 vaccination. CONCLUSION: In this study, there were disproportionate reporting of immune-related AEs following COVID-19 vaccination. While awaiting definitive evidence, there is a need to closely monitor for any signs of immune-related AEs following COVID-19 vaccination among adolescents.

Real-World Data Mining for Signal Detection of Antipsychotics-Associated Adverse Events Using the Korea Adverse Event Reporting System (KAERS) Database.

Background and Objectives: Recent studies suggest that the binary categorization of first-generation antipsychotics (FGAs) as being primarily responsible for extrapyramidal symptoms (EPSs) and second-generation antipsychotics (SGAs) for cardiometabolic abnormalities is an oversimplification. SGAs also demonstrate antagonistic affinity for D2 receptors, indicating their potential to induce EPSs. This study utilized the Korea Adverse Event Reporting System (KAERS) database to explore adverse drug event (ADE) signals related to both FGAs and SGAs. Materials and Methods: Relevant ADE reports from January 2013 to December 2022 were extracted from the KAERS database and analyzed using disproportionality analysis, employing the proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC) with its 95% lower confidence interval (LCI) indices. Results: Of the initial dataset of 2,890,702 ADE reports, those with insufficient data and duplicates were removed, resulting in a final dataset of 5249 reports for analysis. Aripiprazole, an SGA, showed signals for movement disorders, including EPSs (PRR 4.7, ROR 4.8, IC 2.2), tremors (PRR 5.3, ROR 5.4, IC 2.4), and akathisia (PRR 18.6, ROR 19.3, IC 3.5). Notably, for quetiapine, cardiovascular signals were detected, including increased blood pressure (PRR 2.1, ROR 2.3, IC 0.5), and tachyarrhythmia (PRR 13.9, ROR 14.1, IC 1.8), along with peripheral edema (PRR 2.5, ROR 2.5, IC 0.2). Metabolic abnormalities, such as weight gain and increased appetite, were identified for four SGAs: aripiprazole, olanzapine, quetiapine, and risperidone. Safety signals related to movement disorders were not detectable for FGAs, likely due to the limited number of ADE reports available for analysis. Conclusions: Our study findings support that the distribution of ADEs between FGAs and SGAs is not strictly binary. Aripiprazole, despite being an SGA, showed signals for extrapyramidal movement disorders. Four SGAs (aripiprazole, olanzapine, quetiapine, and risperidone) were linked to metabolic side effects, while quetiapine was associated with cardiovascular safety signals.

Association between immune checkpoint inhibitor-induced myocarditis and concomitant use of thiazide diuretics.

Although an association has been reported between diuretics and myocarditis, it is unclear whether the risk of immune checkpoint inhibitor (ICI)-induced myocarditis is affected by concomitant diuretics. Thus, the aim of this work was to evaluate the impact of concomitant diuretics on ICI-induced myocarditis. This cross-sectional study used disproportionality analysis and a pharmacovigilance database to assess the risk of myocarditis with various diuretics in patients receiving ICIs via the analysis of data entered into the VigiBase database through December 2022. Multiple logistic regression analysis was performed to identify risk factors for myocarditis in patients who received ICIs. A total of 90 611 patients who received ICIs, including 975 cases of myocarditis, were included as the eligible dataset. A disproportionality in myocarditis was observed for loop diuretic use (reporting odds ratio 1.47, 95% confidence interval [CI] 1.02-2.04, P = .03) and thiazide use (reporting odds ratio 1.76, 95% CI 1.20-2.50, P < .01) in patients who received ICIs. The results of the multiple logistic regression analysis showed that the use of thiazides (odds ratio 1.67, 95% CI 1.15-2.34, P < .01) was associated with an increased risk of myocarditis in patients who received ICIs. Our findings may help to predict the risk of myocarditis in patients receiving ICIs.

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

Continuous evaluation of drug safety is needed following approval to determine adverse events (AEs) in patient populations with diverse backgrounds. Spontaneous reporting systems are an important source of information for the detection of AEs not identified in clinical trials and for safety assessments that reflect the real-world use of drugs in specific populations and clinical settings. The use of spontaneous reporting systems is expected to detect drug-related AEs early after the launch of a new drug. Spontaneous reporting systems do not contain data on the total number of patients that use a drug; therefore, signal detection by disproportionality analysis, focusing on differences in the ratio of AE reports, is frequently used. In recent years, new analyses have been devised, including signal detection methods focused on the difference in the time to onset of an AE, methods that consider the patient background and those that identify drug-drug interactions. However, unlike commonly used statistics, the results of these analyses are open to misinterpretation if the method and the characteristics of the spontaneous reporting system cannot be evaluated properly. Therefore, this review describes signal detection using data mining, considering traditional methods and the latest knowledge, and their limitations.

A real-world disproportionality analysis of Rucaparib: Post-marketing Pharmacovigilance Data.

BACKGROUND: Rucaparib has been approved for the maintenance treatment of adult patients with recurrent epithelial ovarian, fallopian tube, or primary peritoneal cancer. However, the long-term safety of rucaparib in large sample population was unknown. The presented study aimed to evaluate rucaparib-associated adverse events (AEs) according to the real-world pharmacovigilance database. METHODS: Disproportionality analysis was conducted to assess the association between rucaparib and its AEs. Data were collected from the international pharmacovigilance database of US FDA Adverse Event Reporting System (FAERS) between January 2017 and June 2022. The characteristics of rucaparib-related AEs, and the onset time were further analyzed. RESULTS: A total of 9,296,694 AE reports were recorded in the FAERS during the study period, among which 7,087 reports were associated with rucaparib. About 135 rucaparib-related AE signals in 15 system organ class (SOCs) were identified. The most common AEs included anaemia, thrombocytopenia, nausea, vomiting, fatigue, blood creatinine increase, alanine aminotransferase increase, and aspartate aminotransferase increase, which were listed in the label for rucaparib. Of note, 21 new and unexpected significant AEs that off-label were also found in our study, such as preferred term (PTs) of intestinal obstruction, gastrooesophageal reflux disease, blood iron decreased, dehydration, and hypersomnia. The median onset time of rucaparib-related AEs was 12 days (interquartile range [IQR] 1-62 days), and had early failure types. CONCLUSION: Our study demonstrated potential new AEs of rucaparib, and further studies were expected to confirm the results.

Safety of sugammadex for reversal of neuromuscular block: A postmarketing study based on the World Health Organization pharmacovigilance database.

AIM: Residual neuromuscular blockade is a common complication after general anaesthesia. Sugammadex can reverse the action of aminosteroid neuromuscular blockers. This study aimed to explore sugammadex safety issues in the real world and determine the spectrum of adverse reactions. METHODS: All sugammadex-related adverse events reported in VigiBase between 2010 and 2019 were classified by group queries according to the Medical Dictionary for Regulatory Activities. A disproportionality analysis of data was performed using the information component (IC); positive IC values were deemed significant. RESULTS: Overall, 16 219 410 adverse events were reported and 2032 were associated with sugammadex. The frequent reactions were recurrence of neuromuscular blockade (n = 54, IC 6.74, IC025 6.33), laryngospasm (n = 53, IC 6.05, IC025 5.64), bronchospasm (n = 119, IC 5.63, IC025 5.36) and bradycardia (n = 169, IC 5.13, IC025 4.90). Fatal cases were more likely among patients with cardiac disorders, especially those over 65 years. In addition, the common adverse drug reactions (ADRs) differed between different age groups (P < .01). ADRs were higher in the 0-17 years age group than in other age groups. The onset time of common ADRs was typically within 1 day and 68.9% occurred within half an hour after sugammadex administration. CONCLUSIONS: Anaesthesiologists should carefully monitor the anaesthesia recovery period to correct the ADRs caused by sugammadex and recommend monitoring neuromuscular function throughout the anaesthesia process. Sugammadex should be used carefully in patients with cardiovascular diseases, and electrocardiography and hemodynamic changes should be monitored after medication.

Active-comparator restricted disproportionality analysis for pharmacovigilance signal detection studies of chronic disease medications: An example using sodium/glucose cotransporter 2 inhibitors.

AIMS: Disproportionality analysis is a common pharmacovigilance tool to detect safety signals of type 2 diabetes medications from spontaneous drug reporting databases. The aim was to demonstrate the impact of using active-comparator restricted disproportionality analysis (ACR-DA), wherein the reference group is restricted to reports with a clinically appropriate active comparator. METHODS: Using reports from the Food and Drug Administration Adverse Event Reporting System, we assessed if sodium/glucose cotransporter 2 (SGLT2) inhibitors are associated with higher reporting of 5 potential adverse events: acute kidney injury, genitourinary tract infections, diabetic ketoacidosis, fractures, and amputations. For each adverse event, we calculated the proportional reporting ratio (PRR) and adjusted reporting odds ratio (aROR [95% confidence interval, CI]) using 3 types of reference groups: no SGLT2 inhibitor (background risk reference), other diabetes drugs (therapeutic class reference), and dipeptidyl peptidase 4 inhibitors (active comparator reference). RESULTS: Based on ACR-DA, we did not detect a safety signal for acute kidney injury (PRR 0.92 [0.81-1.04]; aROR 0.78 [95% CI 0.72-0.85]) or fractures (PRR 0.44[95% CI 0.17-1.15]; aROR 0.74 [95% CI 0.61-0.91]) associated with SGLT2 inhibitors compared to dipeptidyl peptidase 4 inhibitors. However, we detected safety signals for genitourinary tract infections (PRR 2.75[2.02-3.76]; aROR 2.54[2.26-2.86], diabetic ketoacidosis (PRR 63.85[39.37-103.53; aROR 91.49[70.66-118.48]), and amputations (PRR 52.60 [19.66-140.75]; aROR 22.64 [15.32-33.42]. CONCLUSION: The use of the proposed ACR-DA to detect safety signals of type 2 diabetes medications may reduce false positive safety signals through careful selection of the comparator which is expected to reduce channelling bias.

Ocular disorders associated with PCSK9 inhibitors: A pharmacovigilance disproportionality analysis.

AIMS: To identify and characterize ocular adverse events (oAEs) that are significantly associated with proprotein convertase subtilisin-like/kexin type 9 (PCSK9) inhibitors using the US Food and Drug Administration Adverse Event Reporting System (FAERS). METHODS: We conducted a disproportionality analysis of PCSK9 inhibitors in the FAERS (01/2004-12/2021). The association between PCSK9 inhibitors and oAEs was evaluated using the information component (IC) and the reporting odds ratio (ROR), and the difference in oAEs between evolocumab and alirocumab was compared using the ROR. Different sensitivity analyses were conducted to evaluate the robustness of results. RESULTS: A total of 103 531 reports involving at least 1 PCSK9 inhibitor were found in the FAERS. PCSK9 inhibitors were associated with higher reporting of increased lacrimation (IC 0.27 [95% confidence interval {CI} 0.02-0.45]; ROR 1.21 [95% CI 1.04-1.40]), seasonal allergy (IC 0.39 [95% CI 0.04-0.64]; ROR 1.32 [95% CI 1.07-1.62]) and eye operation (IC 0.66 [95% CI 0.04-1.10]; ROR 1.60 [95% CI 1.11-2.30]) compared with the full database, and there was no difference between evolocumab and alirocumab. Sensitivity analyses showed that the disproportionate signals of increased lacrimation disappeared after excluding cases with other lipid-lowering agents in the combined drugs. Except for eye operations, most of these adverse events occurred within 30 days of the first dose, and all 3 oAEs were mostly reported in women and individuals >65 years. CONCLUSION: This pharmacovigilance study identified a possible signal of ocular disorders associated with PCSK9 inhibitors and encourages paying attention to at-risk populations in PCSK9 inhibitors medication.

Toxicity signals associated with secukinumab: A pharmacovigilance study based on the United States Food and Drug Administration Adverse Event Reporting System database.

AIMS: Secukinumab, the first interleukin 17A inhibitor, is widely used to treat immune diseases, including plaque psoriasis, psoriatic arthritis and ankylosing spondylitis. Recently, many studies have reported adverse events associated with secukinumab, including gastrointestinal disorders, infections and infestations, and hypersensitive and nervous system disorders. OBJECTIVE: Here, we aimed to explore the clinical characteristics, outcomes and time to onset of the four main toxicities of secukinumab using post-marketing data. METHODS: Our study utilized data from the United States Food and Drug Administration Adverse Event Reporting System (FAERS) database from 2015 to 2021, using disproportionality analysis. Toxicities were defined based on the standardized Medical Dictionary for Regulatory Activities queries. Two disproportionality methods were used to detect potential signals: information component (IC) and reporting odds ratio (ROR). The signals were defined as ROR025 > 1 and IC025 > 0. RESULTS: A total of 73 945 398 records were included in this study, of which 300 665 records were related to secukinumab. Diarrhoea (N = 3538), nasopharyngitis (N = 3458), pruritus (N = 4277) and rash (N = 3270) were the most common adverse events. Inflammatory bowel disease (IC025 /ROR025 = 3.25/9.69), genital candidiasis (IC025 /ROR025 = 3.46/11.54), dermatitis psoriasiform (IC025 /ROR025 = 1.94/4.04) and anosmia (IC025 /ROR025 = 1.62/3.17) had the highest IC025 values of all toxicities. The time to onset of the four toxicities was mainly concentrated in the first month. Some patients simultaneously presented with two or more toxicities. CONCLUSION: This pharmacovigilance study systematically explored the four main toxicities of secukinumab and provided new safety signals based on past safety information. Some high-risk signals need to be given attention.

Sensitivity and specificity in signal detection with the reporting odds ratio and the information component.

PURPOSE: As measures of association between an adverse drug reaction (ADR) and exposure to a drug the reporting odds ratio (ROR) and the information component (IC) can be used. We sought to test the reliability of signal detection with these. METHODS: We simulated ADR counts as binomially distributed random numbers for different expected ADR frequencies and theoretical reporting odds ratios (RORs). We then calculated the empirical IC and the empirical ROR and their confidence intervals. The rate of signals that was detected despite a theoretical ROR of 1 represented the false positive rate, and represented the sensitivity if the ROR was >1. RESULTS: For expected case counts below 1 the false positive rate oscillates from 0.01 to 0.1 even though 0.025 were intended. Even beyond expected case counts of 5 oscillations can cover a range of 0.018 to 0.035. The first n oscillations with the largest amplitude are eliminated if a minimum case count of n is required. To detect an ROR of 2 with a sensitivity of 0.8, a minimum of 12 expected ADRs are required. In contrast, 2 expected ADRs suffice to detect an ROR of 4. CONCLUSION: Summaries of measures for disproportionality should include the expected number of cases in the group of interest if a signal was detected. If no signal was detected the sensitivity for the detection of a representative ROR or the minimum ROR that could be detected with probability 0.8 should be reported.

Purine antimetabolites associated Pneumocystis jirovecii pneumonia.

PURPOSE: To detect the possible safety signal of purine antimetabolites associated with Pneumocystis jirovecii pneumonia through disproportionality analysis in the FDA Adverse Event Reporting System (FAERS) Database. METHODS: A case/non-case retrospective disproportionality analysis was performed in the publicly available FAERS database using AERSmine (2004Q1-2021Q3). Four models were developed to explore the signal strength of PAs among different populations with possible confounding factors. Reporting odds ratio (ROR) and Proportional reporting ratio (PRR) was used as the data mining algorithm for the analysis. A value of ROR-1.96SE > 1 and PRR ≥ 2 with an associated X2 value of 4 or more was considered the threshold for a signal. RESULTS: A total of 7073 reports associated with Pneumocystis jirovecii pneumonia were present in the database, of which 899 reports were associated with purine antimetabolites. A crude signal strength of ROR 15.76(14.70-16.91) was obtained for purine antimetabolites associated PJP, with the highest signal strength reported with fludarabine and thioguanine [ROR 19.63(17.42-22.13); 19.45(13.21-28.63)]. Stratifying the cases based on autoimmune disorders and the cancer population revealed an ROR of 3.33(2.46-4.50) and 2.93(2.26-3.79) respectively. The highest risk of PJP with use of PAs was observed amongst children with a higher risk of nearly 2 times than the adult population [ROR 11.57(9.16-14.62)]. CONCLUSIONS: Our study provided evidence on the occurrence of PJP with the use of purine antimetabolites among the autoimmune and cancer population. We identified signals for PJP with azathioprine, mercaptopurine, thioguanine, cladribine, fludarabine, and clofarabine. More research with a superior epidemiological study design of a defined population is required to validate these findings.

Analysis of Appendicitis Cases in the Japanese Adverse Drug Event Report (JADER) Database.

Appendicitis is one of the most common abdominal surgical emergencies worldwide; however, its causes remain poorly understood. The Japanese Adverse Drug Event Report (JADER) database is a spontaneous reporting system (SRS) that can be utilized to analyze the safety signals of adverse events. In this study, we investigated the association between drug use and the onset of appendicitis using the JADER database. We first used the reporting odds ratio (ROR) as the signal and found signals for appendicitis, perforated appendicitis, and complicated appendicitis for 23, 9, and 1 drug, respectively. To investigate the level of hazard over time in drug-associated appendicitis, the Weibull shape parameter ß was calculated using a Weibull plot, which revealed drug-dependent patterns for changes in the risk of appendicitis over time for the eight drugs. Furthermore, logistic regression analysis was performed to account for the influence of age, sex, and primary disease, and a significant association was detected between two drugs and appendicitis. Several types of drugs, such as antitumor, antirheumatic, and anti-inflammatory drugs, were included in our analyses; however, only clozapine, which is used for patients with schizophrenia, was commonly identified in these analyses. The resulting data suggest that certain drugs may be associated with appendicitis and may require adequate attention.

Hepatobiliary calculi associated with ceftriaxone treatment: An analysis of FAERS data from 2004 to 2021.

INTRODUCTION: The role of gender, age, dose and other factors in the adverse reaction process of pseudocholelithiasis caused by ceftriaxone is controversial. In this study, we further explored potential risk factors using the FAERS database. METHODS: The reported odds ratio (ROR) and the information component (IC) of specific candidate factors were calculated by using the ROR method and the Bayesian confidence promotion neural network (BCPNN) method respectively to detect potential risk factors in adverse events(AEs) of ceftriaxone and hepatobiliary calculi(HBC). One candidate factor will be considered as a suspicious signal, or potential risk factors if its lower limit of 95% confidence interval of ROR (ROR025) is greater than 1 and its lower limit of 95% confidence interval of IC (IC025) is greater than 0. RESULTS: A total of 764 AEs of HBC were used to this analysis to evaluate candidate risk factors: Age group, Gender, Dose. Child (1-12 years): male ROR025 = 6.64, IC025 = 2.42, female ROR025 = 6.66, IC025 = 2.40. Adolescent group (12-18 years): male ROR025 = 5.47, IC025 = 2.08; elderly (≥65 years): female ROR025 = 1.25, IC025 = 0.22. CONCLUSIONS: Gender was not detected as a risk factor for HBC caused by ceftriaxone. However, Male infants, male children, female children, adolescent male, and elderly female were potential risk factors for HBC caused by ceftriaxone based on criteria ROR025 > 1 and IC025 > 0.

Pituitary-Related Adverse Events and Onset Patterns Caused by Immune Checkpoint Inhibitors: Analysis Using the Japanese Adverse Drug Event Report Database.

Background and Objectives: One type of immune-related adverse event caused by immune checkpoint inhibitors (ICIs) is pituitary-related adverse events. The management of pituitary-related adverse events is important because they can be fatal if not treated promptly. Therefore, this study was conducted to investigate the onset of pituitary-related adverse events using the Japanese Adverse Drug Report (JADER) database. Materials and Methods: Cases registered in the JADER database from 2004 to 2019 were used. The target drugs were ipilimumab, nivolumab, pembrolizumab, avelumab, atezolizumab, and durvalumab, and the target adverse events were the high-level terms "Anterior pituitary hypofunction," "Anterior pituitary hyperfunction," "Posterior pituitary disorder," and "Pituitary neoplasm" in the Medical Dictionary for Regulatory Activities, Japanese version (MedDRA/J). The information component (IC) was used for signal detection and IC delta (ICΔ) was used for women-related signals. Onset timing and patterns were analyzed using the Weibull distribution. Results: Signals were detected with ipilimumab, nivolumab, pembrolizumab, and atezolizumab in "Anterior pituitary hypofunction," with ICs and 95% credible intervals (95%CrI) of 5.53 (5.30-5.69), 4.96 (4.79-5.08), 4.04 (3.76-4.25), and 2.40 (1.53-3.00). Significant signals were detected in women, except for atezolizumab. Additionally, the time of onset was classified as the wear-out failure type. Inverse signals were detected with ipilimumab and nivolumab in "Posterior pituitary disorder," with ICs (95%CrI) of -1.24 (-2.80--0.26), and -0.89 (-1.64--0.37). Conclusions: Anterior pituitary hypofunction is likely to occur with the long-term administration of ipilimumab, nivolumab, and pembrolizumab. Further investigation is needed to determine the differences in the tendencies to detect signals in the anterior and posterior pituitaries between ipilimumab and nivolumab.

Association Between Statin Use and Daptomycin-related Musculoskeletal Adverse Events: A Mixed Approach Combining a Meta-analysis and a Disproportionality Analysis.

BACKGROUND: There is a growing concern about the association between the combined use of daptomycin (DAP) and statins and the occurrence of musculoskeletal adverse events (MAEs), but this remains controversial. This study aimed to clarify the association between statin use and DAP-related MAEs. METHODS: We used a mixed approach that combines 2 methodologies. First, we conducted a meta-analysis to examine the effects of statin use on DAP-related MAEs. Second, we conducted a disproportionality analysis using the US Food and Drug Administration Adverse Events Reporting System (FAERS) to further confirm the results of the meta-analysis and to examine the effect of each type of statin on DAP-related MAEs in a large population. RESULTS: In the meta-analysis, statin use significantly increased the incidence of DAP-related rhabdomyolysis (odds ratio [OR]: 3.83; 95% confidence interval [CI]: 1.43-10.26) but not DAP-related myopathy (OR: 1.72; 95% CI: .95-3.12). In the disproportionality analysis using the FAERS, the use of statin significantly increased the reporting OR (ROR) for DAP-related myopathy (ROR: 5.69; 95% CI: 4.31-7.51) and rhabdomyolysis (ROR: 5.77; 95% CI: 4.33-7.68). Atorvastatin, rosuvastatin, and simvastatin all increased the incidence of DAP-related myopathy and rhabdomyolysis. CONCLUSION: The mixed approach combining a meta-analysis and disproportionality analysis showed that statin use was associated with the occurrence of DAP-related rhabdomyolysis. The appropriate use of statins and DAP should be performed with careful consideration of its safety.