Medical Dictionary For Regulatory Activities Research Articles

Enhancing antidepressant safety surveillance: comparative analysis of adverse drug reaction signals in spontaneous reporting and healthcare claims databases.

Background/Objective: Spontaneous reporting systems (SRS) such as the Korea Adverse Event Reporting System (KAERS) are limited in their ability to detect adverse drug reaction (ADR) signals due to their limited data on drug use. Conversely, the national health insurance claim (NHIC) data include drug use information for all qualifying residents. This study aimed to compare ADR signal profiles for antidepressants between KAERS and NHIC, evaluating the extent to which detected signals belong to common ADRs and labeling information. Materials and Methods: ADR signal detection in KAERS and NHIC databases, spanning January to December 2017, employed disproportionality analysis. Signal classes were determined based on System Organ Class (SOC) of the Medical Dictionary for Regulatory Activities (MedDRA). Also, Common ADR Coverage (CAC), the proportion of detected signals deemed common ADRs, and labeling information coverage (LIC) represented by mean average precision (mAP) were calculated. Additionally, protopathic bias and relative risk (RR) evaluation were performed to check for signal robustness. Results: Signal detection revealed 51 and 62 signals in KAERS and NHIC databases, respectively. Both systems predominantly captured signals related to nervous system disorders, comprising 33.3% (N = 17) in KAERS and 50.8% (N = 31) in NHIC. Regarding the type of antidepressants, KAERS predominantly reported signals associated with tricyclic antidepressants (TCAs) (N = 21, 41.2%), while NHIC produced most signals linked to selective serotonin reuptake inhibitors (SSRIs) (N = 22, 35.5%). KAERS exhibited higher CAC (68.63% vs. 29.03%) than NHIC. LIC was also higher in KAERS than in NHIC (mAP for EB05: 1.00 vs. 0.983); i.e., NHIC identified 5 signals not documented in drug labeling information, while KAERS found none. Among the unlabeled signals, one (Duloxetine-Myelopathy) was from protopathic bias, and two (duloxetine-myelopathy and tianeptine-osteomalacia) were statistically significant in RR. Conclusion: NHIC exhibited greater capability in detecting ADR signals associated with antidepressant use, encompassing unlabeled ADR signals, compared to KAERS. NHIC also demonstrated greater potential for identifying less common ADRs. Further investigation is needed for signals detected exclusively in NHIC but not covered by labeling information. This study underscores the value of integrating different sources of data, offering substantial regulatory insights and enriching the scope of pharmacovigilance.

Lessons learned from annotation of VAERS reports on adverse events following influenza vaccination and related to Guillain-Barré syndrome

BackgroundVaccine Adverse Events ReportingSystem (VAERS) is a promising resource of tracking adverse events following immunization. Medical Dictionary for Regulatory Activities (MedDRA) terminology used for coding adverse events in VAERS reports has several limitations. We focus on developing an automated system for semantic extraction of adverse events following vaccination and their temporal relationships for a better understanding of VAERS data and its integration into other applications. The aim of the present studyis to summarize the lessons learned during the initial phase of this project in annotating adverse events following influenza vaccination and related to Guillain-Barré syndrome (GBS). We emphasize on identifying the limitations of VAERS and MedDRA.ResultsWe collected 282 VAERS reports documented between 1990 and 2016 and shortlisted those with at least 1,100 characters in the report. We used a subset of 50 reports for the preliminary investigation and annotated all adverse events following influenza vaccination by mapping to representative MedDRA terms. Associated time expressions were annotated when available. We used 16 System Organ Class (SOC) level MedDRA terms to map GBS related adverse events and expanded some SOC terms to Lowest Level Terms (LLT) for granular representation. We annotated three broad categories of events such as problems, clinical investigations, and treatments/procedures. The inter-annotator agreement of events achieved was 86%. Incomplete reports, typographical errors, lack of clarity and coherence, repeated texts, unavailability of associated temporal information, difficulty to interpret due to incorrect grammar, use of generalized terms to describe adverse events / symptoms, uncommon abbreviations, difficulty annotating multiple events with a conjunction / common phrase, irrelevant historical events and coexisting events were some of the challenges encountered. Some of the limitations we noted are in agreement with previous reports.ConclusionsWe reported the challenges encountered and lessons learned during annotation of adverse events in VAERS reports following influenza vaccination and related to GBS. Though the challenges may be due to the inevitable limitations of public reporting systems and widely reported limitations of MedDRA, we emphasize the need to understand these limitations and extraction of other supportive information for a better understanding of adverse events following vaccination.

A patient safety knowledge graph supporting vaccine product development

BackgroundKnowledge graphs are well-suited for modeling complex, unstructured, and multi-source data and facilitating their analysis. During the COVID-19 pandemic, adverse event data were integrated into a knowledge graph to support vaccine safety surveillance and nimbly respond to urgent health authority questions. Here, we provide details of this post-marketing safety system using public data sources. In addition to challenges with varied data representations, adverse event reporting on the COVID-19 vaccines generated an unprecedented volume of data; an order of magnitude larger than adverse events for all previous vaccines. The Patient Safety Knowledge Graph (PSKG) is a robust data store to accommodate the volume of adverse event data and harmonize primary surveillance data sources.MethodsWe designed a semantic model to represent key safety concepts. We built an extract-transform-load (ETL) data pipeline to parse and import primary public data sources; align key elements such as vaccine names; integrated the Medical Dictionary for Regulatory Activities (MedDRA); and applied quality metrics. PSKG is deployed in a Neo4J graph database, and made available via a web interface and Application Programming Interfaces (APIs).ResultsWe import and align adverse event data and vaccine exposure data from 250 countries on a weekly basis, producing a graph with 4,340,980 nodes and 30,544,475 edges as of July 1, 2022. PSKG is used for ad-hoc analyses and periodic reporting for several widely available COVID-19 vaccines. Analysis code using the knowledge graph is 80% shorter than an equivalent implementation written entirely in Python, and runs over 200 times faster.ConclusionsOrganizing safety data into a concise model of nodes, properties, and edge relationships has greatly simplified analysis code by removing complex parsing and transformation algorithms from individual analyses and instead managing these centrally. The adoption of the knowledge graph transformed how the team answers key scientific and medical questions. Whereas previously an analysis would involve aggregating and transforming primary datasets from scratch to answer a specific question, the team can now iterate easily and respond as quickly as requests evolve (e.g., “Produce vaccine-X safety profile for adverse event-Y by country instead of age-range”).

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

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. 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). 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). 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). 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.

Toxicity Spectrum of Anti-GD2 Immunotherapy: A Real-World Study Leveraging the US Food and Drug Administration Adverse Event Reporting System.

Anti-disialoganglioside (anti-GD2) monoclonal antibodies are effective immunotherapeutic drugs for treating neuroblastoma, yet their toxicity spectrum is unclear. This study aimed to assess the toxicity profiles of three anti-GD2 monoclonal antibodies (dinutuximab, dinutuximab β, and naxitamab) in clinical applications by mining and evaluating the adverse drug reaction (ADR) signals from the US Food and Drug Administration Adverse Event Reporting System. Data in the US Food and Drug Administration Adverse Event Reporting System from the time anti-GD2 monoclonal antibodies became available in the market to the first quarter of 2023 were searched. The signals of anti-GD2 monoclonal antibody-associated ADRs were quantified using four types of algorithms, including the reporting odds ratio, the proportional reporting ratio, the combination of the proportional reporting ratio and χ2 statistic method used by the UK Medicines and Healthcare Products Regulatory Agency, and the Bayesian confidence propagation neural network. The ADRs were categorized by System Organ Class based on the Medical Dictionary for Regulatory Activities, and were sorted according to the frequency and signal strength of ADRs. A total of 370 adverse drug event reports with anti-GD2 monoclonal antibodies listed as the 'primary suspected drugs' were identified, with 116 ADR signals detected, of which 22 were not in the drug labels. Among the adverse drug event reports, 276 reports concerned dinutuximab/dinutuximab β as primary suspected drugs with 90 ADR signals, involving 19 System Organ Classes, of which 21 signals were not in the label; 94 adverse drug event reports concerned naxitamab as the primary suspected drug with 26 ADR signals, involving 11 System Organ Classes, of which one was not in the label. For dinutuximab/dinutuximab β-related ADRs, the top five most frequent were "fever", "abdominal pain", "elevated aspartate aminotransferase (AST)", "elevated alanine aminotransferase (ALT)" and "hypotension"; the top five most intensive signals were "hypoalbuminemia", "elevated AST", "capillary leakage syndrome", "hypoxia" and "elevated ALT". For naxitamab-related ADRs, the top five most frequent were "hypotension", "pain", "urticarial", "hypertension" and "rash"; the top five most intensive signals were "hypotension", "urticaria", "hypoxemia", "bronchospasm" and "hypertension". Involved System Organ Classes included "investigations" and "respiratory, thoracic and mediastinal disorders" containing the most types of ADR signals in dinutuximab/dintuximab β-related ADRs and naxitamab-related ADRs, respectively. Our study comprehensively analyzed the toxicity profiles of anti-GD2 monoclonal antibodies and provides an important reference for clinical monitoring and ADR identification of these drugs.

Sex differences in adverse events from systemic treatments for psoriasis: A decade of insights from the Swiss Psoriasis Registry (SDNTT).

Psoriasis is a disease that often requires prolonged systemic treatment. It is important to determine the safety of available therapies. There is currently little insight into sex-specific differences in the safety of systemic psoriasis therapies. To examine the real-world, long-term safety of systemic psoriasis therapies with sex stratification in drug-related adverse events (ADRs). Ten-year data from adults with moderate-to-severe psoriasis requiring systemic treatment (conventional systemic therapies [CST], biologics) were obtained from the Swiss psoriasis registry (SDNTT). ADRs were categorized according to the international terminology Medical Dictionary for Regulatory Activities (MedDRA). Safety was assessed by calculating event rates per 100 patient-years (PY). We used descriptive statistics for patient and disease characteristics, and binomial and t-tests to compare treatment groups and sex. In total, 791 patients (290 females) were included with a mean age of 46 years. 358 (45%) received CSTs and 433 (55%) biologics; both groups had similar baseline characteristics except for more joint involvement in patients using biologics (26.86% vs. 14.8%, p < 0.0001). CSTs were associated with a 2.2-fold higher ADR rate (40.43/100 PY vs. 18.22/100 PY, p < 0.0001) and an 8.0-fold higher drug-related discontinuation rate than biologics (0.16/PY vs. 0.02/PY, p < 0.0001). Trends showed non-significant higher serious adverse event rates per 100 PY for biologics (8.19, CI 6.87-9.68) compared to CSTs (7.08, CI 5.39-9.13) (p = 0.3922). Sex stratification revealed a significantly higher overall ADR rate for all treatments in females (1.8-fold for CSTs [57.30/100 PY vs. 31.69/100 PY] and 2.0-fold for biologics [27.36/100 PY vs. 13.9/100 PY], p < 0.0001), and drug-related discontinuation rates for most CSTs in females. Females were associated with a significantly higher rate of ADRs and drug-related discontinuation rates. Sex stratification should be taken into consideration when designing studies in the patient-tailored management of psoriasis.

Effect of acid suppressant medications on the laxative action of magnesium preparations in patients with opioid-induced constipation: A pharmacovigilance analysis of the FDA Adverse Event Reporting System.

Objective: Magnesium oxide is widely used for treating opioid-induced constipation, a serious analgesic-associated problem. Opioid analgesic users are often prescribed non-steroidal anti-inflammatory drugs, which are sometimes combined with acid suppressants to prevent gastrointestinal adverse events. Magnesium preparations combined with acid suppressants may diminish magnesium preparations' laxative effect. This study was aimed at evaluating the effect of magnesium preparations combined with acid suppressants on the incidence of opioid-induced constipation by using the Food and Drug Administration Adverse Event Reporting System. Methods: Adverse events were defined per the Medical Dictionary for Regulatory Activities; the term 'constipation (preferred term code: 10010774)' was used for analysis. After adjusting for patient background factors using propensity score matching, acid suppressants' effect on constipation incidence was evaluated in opioid users prescribed magnesium preparations alone as laxatives by using a test for independence. Key Findings: The Food and Drug Administration Adverse Event Reporting System contains 14,475,614 reports for January 2004 to December 2021. Significantly increased constipation incidence was related to magnesium preparations combined with acid suppressants, especially proton pump inhibitors (P < 0.0001, McNemar's test). Conclusion: Magnesium preparations combined with acid suppressants may diminish magnesium preparations' laxative effect; healthcare professionals should pay attention to this issue.

Comparing Common Therapies in Polycythemia Vera (PV): A Disproportionality Analysis in the FDA Adverse Event Reporting System (FAERS) Database

Background: Prior to the approval of ropeginterferon alfa-2b-njft (ropeginterferon) in November 2021, the alternatives to hydroxyurea for the treatment of polycythemia vera (PV) included Janus Kinase inhibitors (JAKi) and older versions of recombinant interferon-alpha (rIFNα). As ropeginterferon and the JAKi ruxolitinib are the only FDA approved medications for the treatment of PV, we conducted a safety review of the FDA's Adverse Event Reporting System (FAERS) to assess reporting rates for adverse events (AEs) of both FDA-approved and non-FDA approved rIFNα and JAKi agents. Methods: AE data for ropeginterferon, peginterferon alfa-2a, ruxolitinib, and pacritinib in PV-treated patients were obtained from FAERS reports from November 1, 2021, through March 31, 2023. AEs were recorded using preferred terms (PTs) and primary system organ classes (SOCs) from the Medical Dictionary for Regulatory Activities (MedDRA). Serious non-fatal AEs (SAEs) were defined as AEs requiring hospitalization, life-threatening, resulting in disability, congenital anomaly, or otherwise medically significant. Reporting odds ratios (RORs) and 95% confidence intervals (95% CIs) were calculated using R v4.2.3 Statistical Software. The RORs were used to detect disproportional reporting rates for non-serious AEs, SAEs, and fatal AEs as well as SOC-specific reporting rates. A reporting signal was considered significant when the ROR 95% CI lower limit was greater than one. Results: SOC-specific RORs for the assessed treatments are summarized in Table 1. RORs by AE seriousness are displayed in Figure 1. Ropeginterferon had the only non-serious AE significant ROR (ROR = 5.37; 95% CI: 3.63 - 7.94). The two highest SOC-specific RORs for ropeginterferon were “Medical and Surgical Procedures” (ROR = 15.32; 95% CI: 1.88 - 124.67) and “Social Circumstances” (ROR = 6.30; 95% CI: 2.66 - 14.94). Peginterferon alfa-2a had the highest SAE reporting odds (ROR = 5.68; 95% CI: 3.03 - 10.6). The highest SOC RORs for peginterferon alfa-2a were “Hepatobiliary Disorders” (ROR = 16.35; 95% CI: 4.86 - 55.01) and “Immune System Disorders” (ROR = 5.11; 95% CI: 1.49 - 17.48). Ruxolitinib was the only agent assessed to have significant reporting signals for both SAEs (ROR = 1.93; 95% CI: 1.43 - 2.61) and fatal AEs (ROR = 9.86; 95% CI: 3.62 - 26.82) The highest SOC RORs for ruxolitinib were “Neoplasms Benign, Malignant, and Unspecified” (ROR = 7.96; 95% CI = 3.47 - 18.27) and “Product Issues” (ROR = 3.85; 95% CI: 2.42 - 6.12). Conclusions: This study examined FAERS reports to detect disproportional reporting odds of drug-associated AEs severity and SOCs in four PV treatments: ropeginterferon, ruxolitinib, interferon alfa-2a, and pacritinib. Ropeginterferon had a significant ROR for non-serious AEs. Peginterferon alfa-2a demonstrated a significant ROR for SAEs. Ruxolitinib had both significant SAE and fatal AE RORs. The highest SOC-specific RORs for ropeginterferon were in the non-specific categories of “Medical and Surgical Procedures” and “Social Circumstances.” Peginterferon alfa-2a had significant SOC signals for “Hepatobiliary Disorders” and “Immune System Disorders,” which are AE categories also reported in the prescribing information for peginterferon alfa-2a. “Neoplasms Benign, Malignant, and Unspecified” was the highest SOC ROR for ruxolitinib and may potentially relate to the association of treatment with secondary malignancies. Limitations include a lack of adjustments for multiplicity due to the exploratory nature of the analysis. AEs reports to FAERS may not be treatment related. In addition, publicity or FDA approvals may disproportionately affect reporting rates for ropeginterferon (FDA-approved in 2021) or ruxolitinib (approved for PV in 2014). FAERS may also not include representative AE reports as healthcare provider and patient submissions are both postmarketing and voluntary. Fatal events during clinical trials were reported to the FDA (including ropeginterferon) but are not reflected in FAERS. Therefore, FAERS data may not represent the true incidence of AEs. Reporting signals for any treatments or any causal relationship should be confirmed by assessing future AE reporting trends, electronic health records analysis, or prospective clinical trials.

Patient-Reported Reasons for Antihypertensive Medication Change: A Quantitative Study Using Social Media.

Hypertension is the leading cause of heart disease in the world, and discontinuation or nonadherence of antihypertensive medication constitutes a significant global health concern. Patients with hypertension have high rates of medication nonadherence. Studies of reasons for nonadherence using traditional surveys are limited, can be expensive, and suffer from response, white-coat, and recall biases. Mining relevant posts by patients on social media is inexpensive and less impacted by the pressures and biases of formal surveys, which may provide direct insights into factors that lead to non-compliance with antihypertensive medication. This study examined medication ratings posted to WebMD, an online health forum that allows patients to post medication reviews. We used a previously developed natural language processing classifier to extract indications and reasons for changes in angiotensin receptor II blocker (ARB) and angiotensin-converting enzyme inhibitor (ACEI) treatments. After extraction, ratings were manually annotated and compared with data from the US Food and Drug administration (FDA) Adverse Events Reporting System (FAERS) public database. From a collection of 343,459 WebMD reviews, we automatically extracted 1867 posts mentioning changes in ACEIs or ARBs, and manually reviewed the 300 most recent posts regarding ACEI treatments and the 300 most recent posts regarding ARB treatments. After excluding posts that only mentioned a dose change or were a false-positive mention, 142 posts in the ARBs dataset and 187 posts in the ACEIs dataset remained. The majority of posts (97% ARBs, 91% ACEIs) indicated experiencing an adverse event as the reason for medication change. The most common adverse events reported mapped to the Medical Dictionary for Regulatory Activities were "musculoskeletal and connective tissue disorders" like muscle and joint pain for ARBs, and "respiratory, thoracic, and mediastinal disorders" like cough and shortness of breath for ACEIs. These categories also had the largest differences in percentage points, appearing more frequently on WebMD data than FDA data (p<0.001). Musculoskeletal and respiratory symptoms were the most commonly reported adverse effects in social media postings associated with drug discontinuation. Managing such symptoms is a potential target of interventions seeking to improve medication persistence.

Parasitic infections related to anti-type 2 immunity monoclonal antibodies: a disproportionality analysis in the food and drug administration's adverse event reporting system (FAERS).

Introduction: Monoclonal antibodies (mAbs) targeting immunoglobulin E (IgE) [omalizumab], type 2 (T2) cytokine interleukin (IL) 5 [mepolizumab, reslizumab], IL-4 Receptor (R) α [dupilumab], and IL-5R [benralizumab]), improve quality of life in patients with T2-driven inflammatory diseases. However, there is a concern for an increased risk of helminth infections. The aim was to explore safety signals of parasitic infections for omalizumab, mepolizumab, reslizumab, dupilumab, and benralizumab. Methods: Spontaneous reports were used from the Food and Drug Administration's Adverse Event Reporting System (FAERS) database from 2004 to 2021. Parasitic infections were defined as any type of parasitic infection term obtained from the Standardised Medical Dictionary for Regulatory Activities® (MedDRA®). Safety signal strength was assessed by the Reporting Odds Ratio (ROR). Results: 15,502,908 reports were eligible for analysis. Amongst 175,888 reports for omalizumab, mepolizumab, reslizumab, dupilumab, and benralizumab, there were 79 reports on parasitic infections. Median age was55 years (interquartile range 24-63years) and 59.5% were female. Indications were known in 26 (32.9%) reports; 14 (53.8%) biologicals were reportedly prescribed for asthma, 8 (30.7%) for various types of dermatitis, and 2 (7.6%) for urticaria. A safety signal was observed for each biological, except for reslizumab (due to lack of power), with the strongest signal attributed to benralizumab (ROR = 15.7, 95% Confidence Interval: 8.4-29.3). Conclusion: Parasitic infections were disproportionately reported for mAbs targeting IgE, T2 cytokines, or T2 cytokine receptors. While the number of adverse event reports on parasitic infections in the database was relatively low, resulting safety signals were disproportionate and warrant further investigation.

Drug-induced hypoglycemia: a disproportionality analysis of the FAERS database

ABSTRACT Background Hypoglycemia is an adverse event (AE) that cannot be ignored in clinical practice. This study aimed to identify the most common and top drugs associated with the risk of hypoglycemia based on the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) database. Research design and methods We used OpenVigil 2.1 pharmacovigilance analytics platform to query FAERS database and data from 2004 to 2023 were retrieved. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify hypoglycemia cases, and DrugBank database was used to determine drug generic names. Results A total of 11,155,106 AEs reports were identified, of which 28,443 (0.25%) were related to hypoglycemia. Metformin (6926 cases) was associated with most cases of hypoglycemia. According to the disproportionality analysis, the top five drugs with the highest ROR and PRR were penamecillin, nikethamide, sotagliflozin, norethandrolone, glimepiride/pioglitazone. Nineteen of the top 50 drugs did not have hypoglycemia indicated in the package insert. Conclusions By analyzing the FAERS database, we listed drugs with a strong hypoglycemic signal for which the label does not provide a reminder. Notably, the potential hypoglycemia risks are of great importance and should be closely monitored in medical practice.

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.

A Phase II Study of Isatuximab in Combination with Pomalidomide and Dexamethasone in Patients with Multiple Myeloma Progressing on or after One Line of Lenalidomide-Containing Therapy

Introduction Relapse in patients (pts) with multiple myeloma (MM) is a common occurrence, resulting in a continued need for novel treatment approaches. Isatuximab (Isa), a monoclonal antibody (mAb), combined with pomalidomide (Pom) and dexamethasone (Dex), is indicated for the treatment of pts with relapsed/refractory multiple myeloma who have received ≥2 prior therapies including lenalidomide and a proteasome inhibitor and have demonstrated disease progression on the last therapy. The current study aims to evaluate the efficacy and safety of IsaPomDex in pts with MM relapsing for the first time after one line of treatment containing lenalidomide (Len). Methods EAE115 (NCT05298683) is an ongoing, investigator-initiated, phase II, prospective, open-label, multicenter study aiming to enroll 108 pts. Eligible pts are adults with documented MM who have evidence of progressive disease, by the International Myeloma Working Group criteria, on or after treatment with only one prior line of anti-myeloma therapy with lenalidomide (≥2 cycles, alone or in combination) and a proteasome inhibitor. Pts must also have adequate bone marrow and hepatic function and an Eastern Cooperative Oncology Group performance status (ECOG PS) ≤2. Excluded are pts with previous anti-myeloma therapy with any anti-CD38 mAb, pomalidomide, or stem cell transplant within 12 weeks before treatment initiation. Pts receive six 28-day cycles of Isa 10 mg/kg (once weekly [QW] by intravenous [IV] infusion on days 1, 8, 15, and 22 in cycle 1 and days 1 and 15 in subsequent cycles), Pom 4 mg (per Os on days 1-21, each cycle), and Dex 40 mg or 20 mg for pts ≥75 years old (per Os or IV on days 1, 8, 15 and 22, each cycle). Fifteen to 60 minutes before Isa infusions, patients receive pre-medications to mitigate potential infusion-related adverse reactions. Following initial 6 cycles, pts achieving at least very good partial response (VGPR) are randomized 1:1 to receive Isa (Q2W or Q4W) plus PomDex, and pts achieving &amp;lt;VGPR continue treatment with Isa (Q2W) plus PomDex. Treatment is given until progressive disease, death, unacceptable adverse events (AEs), lost to follow-up, or consent withdrawal. The study primarily evaluates the overall response rate (ORR; defined as partial response [PR] or better) to IsaPomDex therapy at six months. Adverse events are classified using the Medical Dictionary for Regulatory Activities. Herein, we present safety and efficacy data for all treated patients (cut-off date 15/05/23. Results Twenty pts had received at least one dose by the cut-off date, of whom 16 (80.0%) were continuing with IsaPomDex treatment; four (20.0%) pts had discontinued due to physician or pt decision or progressive disease or death. At baseline (cycle 1, day 1), pts had a median age of 72.0 years (range: 60.0-85.0), 10 (50.0%) were male, and 13 (65.0%) had ECOG PS 0. Eleven (55.0%) pts were at stage II by the revised International Staging System, 9 (45.0%) pts had lytic bone lesions, 5 (25.0%) pts had high-risk cytogenetics, and 1 (5.0%) pt had soft-tissue plasmacytomas (Table 1). Regarding previous treatment outcomes, 14 (70.0%) pts had achieved ≥VGPR (stringent complete response, 2 [10.0%] pts; complete response, 2 [10.0%] pts; VGPR, 10 [50%] pts). Five (25%) and 1 (5.0%) pts achieved partial and minimal response, respectively. Six (30.0%) pts had received ASCT in the prior line. At a median follow-up of 3.4 (range: 0.6-6.1) months, the median number of IsaPomDex cycles received was 3.0 (range: 1.0-7.0); one (5.0%) pt received six treatment cycles. Of the 18 (90.0%) response evaluable pts (2 pts were ongoing without 2 efficacy assessments) VGPR and PR were achieved by 4/18 (22.2%) and 9/18 (50.0%) pts, respectively. ORR was achieved by 13/18 (72.2%) pts, and the median (range) time from IsaPomDex study dose to first response (≥PR) was 1.0 (range: 0.9-1.3) months. Thirteen (65.0%) pts had ≥1 treatment-emergent adverse events (TEAE). Of these pts, 10 (50.0%) had a ≥1 grade (gr)≥3 TEAE and 4 (15.0%) had ≥1 gr ≥3 serious TEAE. The most common TEAEs were neutropenia in 9 pts (45.0%), anaemia in 3 pts (15.0%) and fatigue in 3 pts (15.0%). The most common gr ≥3 TEAE was neutropenia in 7 pts (35.0%) (Table 2). Conclusions Second-line treatment with IsaPomDex in pts with MM who have progressed on or after one Len-containing line of treatment appears to be effective, although longer follow-up is needed to assess its efficacy. No new safety signals were observed with the combination.

A Phase 2 Study of Isatuximab in Combination with Bortezomib, Cyclophosphamide, and Dexamethasone, Followed By Isatuximab and Lenalidomide Maintenance in Newly Diagnosed Patients with Multiple Myeloma and Severe Renal Impairment

Introduction Renal impairment (RI), a common complication of multiple myeloma (MM), is associated with increased risk of early death. Reversal of MM-associated RI is a key predictor of improved survival. Regimens containing bortezomib and dexamethasone are the treatment backbone for newly diagnosed (ND) patients (pts) with MM and severe RI, even those requiring dialysis. In the ICARIA-MM study, the addition of isatuximab (Isa) to pomalidomide and dexamethasone improved the renal response rate (RRR) in pts with relapsed/refractory MM and RI. We investigated the effect of induction treatment with Isa plus bortezomib, cyclophosphamide, and dexamethasone (VCd) on the renal function of pts with NDMM and severe RI. Additionally, we evaluate the efficacy and safety of IsaVCd induction, followed by Isa and lenalidomide (Len) maintenance. Methods EAE116 (NCT05147493) is an ongoing, investigator-initiated, phase II, prospective, open-label study aiming to enroll ~51 pts in six Greek hospitals. Eligible pts are adults with documented NDMM by International Myeloma Working Group (IMWG) criteria and severe RI (estimated glomerular filtration rate [eGFR] &amp;lt;30 ml/min/1.73m 2) or in need of dialysis. Pts must also have adequate bone marrow and hepatic function and Eastern Cooperative Oncology Group performance status (ECOG PS) ≤2. Excluded are pts with prior/current systemic therapy or stem cell transplantation for any plasma cell dyscrasia, history of malignancy other than MM, meningeal involvement of MM, cardiac disease, hepatitis, ongoing grade (gr) ≥2 peripheral neuropathy, or those with major surgery within two weeks before cycle (Cyc)1, day (D)1. In induction (six 28-day cycles), pts receive: Isa 10 mg/kg IV (Cyc 1: D1, 8, 15, 22; Cyc 2-6: D1, 15); bortezomib 1.3 mg/m 2 SC (Cyc 1: D1, 4, 8, 11; Cyc 2-6: D1, 8, 15, 22); cyclophosphamide 300 mg/m 2 IV (Cyc 1: D1, 8, 15; Cyc 2-6: D1, 8, 15, 22); and dexamethasone 40 mg PO or IV (Cyc 1: D1, 2, 3, 4, 9, 10, 11, 12; Cyc 2-6: D1, 8, 15, 22). In maintenance (Cyc 7 onwards), pts receive Isa 10 mg/kg IV (D1 of each Cyc) and Len 10 mg PO (or adjusted according to renal function) daily (D1-28 of each Cyc). Fifteen to 60 minutes before Isa infusions, pts receive pre-medications to mitigate potential infusion-related reactions. Treatment continues until disease progression, unacceptable toxicity, or consent withdrawal. The study primarily assesses the RRR (proportion of pts with partial renal response or better, using the eGFR cutoff values of the IMWG response criteria) at six months of treatment with IsaVCd. Other study objectives assess the pts' overall response rate (ORR; defined as partial response [PR] or better) and the safety of IsaVCd. Adverse events are classified using the Medical Dictionary for Regulatory Activities. Herein, we present safety and efficacy data for all treated patients (cut-off date 15/05/23. Results Twenty-five pts have been enrolled and have received ≥1 study treatment dose; of these, 20 (80.0%) are continuing with treatment and five (20.0%) have died. At baseline, pts had a median age of 70.0 years (range 46.0-87.0), 18 (72.0%) were male, and 22 (88.0%) had ECOG PS ≤1. Thirteen (52.0%) pts were at stage II and 12 (48.0%) pts at stage III by the revised International Staging System, 6 (24.0%) pts had lytic bone lesions, 5 (20.0%) pts had high-risk cytogenetics, and 5 (20.0%) pts had soft-tissue plasmacytomas. Seven (28.0%) pts were in need of dialysis (Table 1). At a median follow-up of 3.9 months (range 0.1-8.3), pts have received a median of 4.0 treatment cycles (range 1.0-9.0). Eight (32.0%) pts have completed ≥ 6 treatment cycles. RRR was achieved by 5/11 (45.5%) pts who had initiated treatment 6 months before the cutoff date. The median time to RR was 2.8 months (range 0.9-7.0). Of the 19 (76.0%) response evaluable pts, 11 (57.9%) achieved ORR (very good partial response: 6 [31.6%]; PR: 5 [26.3%]). The median time to first response was 1.0 months (range 0.9-1.9). Twenty (80.0%) pts had ≥1 treatment-emergent adverse events (TEAE). Of these, 10 (50.0%) pts had ≥1 gr ≥3 TEAE and 7 (43.8%) pts had ≥1 gr ≥3 serious TEAE. The most common gr ≥3 TEAE was peripheral neuropathy in 5 pts (20.0%) (Table 2). Conclusions Pts with NDMM and severe RI treated with upfront IsaVCd achieve RR consistent with those reported in the literature for pts receiving bortezomib-based therapy, although longer follow-up is needed to assess the regimen's impact on RI. No new safety signals were observed with IsaVCd.

Digestive Tract Cancer-Related Adverse Events Correlated with Proton Pump Inhibitors Use: A Pharmacovigilance Study of the FDA Adverse Event Reporting System

Background. Proton pump inhibitors (PPIs) are widely used to treat digestive system diseases. Previous studies have suggested conflicting results between PPI treatment and the risk for digestive tract cancers (DTCs). This study aimed to assess the effect of PPI use on DTCs by data mining of the FDA Adverse Event Reporting System (FAERS) database. Method. This study examined the correlations between six PPI agents and DTCs by mining the FAERS database from January 2004 to September 2021 by using OpenVigil 2.1. The reporting odds ratio (ROR) defined as the ratio between the odds of reporting a specific adverse event for one drug divided by the corresponding odds for all other drugs, with 95% confidence intervals (CIs), was used to detect statistically significant correlations between PPIs and DTCs. High-level terms (HLTs) and preferred terms (PTs) were defined by the Medical Dictionary for Regulatory Activities 24.0 (MedDRA24.0). Result. A total of 2553 DTC adverse event reports were screened, with positive signals obtained from gastric neoplasms malignant (GNM) (ROR: 1.09, 95% CI: 1.01–1.18) and bile duct neoplasms malignant (BDNM) (ROR: 1.80, 95% CI: 1.44–2.25). Esomeprazole showed the strongest signal (ROR: 1.85, 95% CI: 1.66–2.06) for GNM, while rabeprazole for BDNM (ROR: 2.94, 95% CI: 1.32–6.56), and female PPI users had a higher risk of BDNM (ROR: 2.44, 95% CI: 1.77–3.35). Among subordinate PTs, adenocarcinoma gastric and the combination of “bile duct cancer” and “cholangiocarcinoma” were highly correlated with PPI use. Conclusion. By mining the FAERS database, we provided important clues for the correlation between PPI use and DTC risk.

SAT471 Hearing-Related Adverse Events in Teprotumumab Oncology Clinical Trials

Abstract Disclosure: T.J. Smith: Consulting Fee; Self; Horizon Therapeutics plc, Viridian, Lundbeck. Other; Self; US patents covering the use of IGF-1 receptor inhibitors in TED which are held by UCLA and the Lundquist Institute. Q. Fu: Employee; Self; Horizon Therapeutics plc. Stock Owner; Self; Horizon Therapeutics plc. R.J. Holt: Employee; Self; Horizon Therapeutics plc. Stock Owner; Self; Horizon Therapeutics plc. Background: Teprotumumab was originally developed for the treatment of a variety of cancers; however, the development program was terminated due to lack of efficacy although no major safety concerns were observed. Teprotumumab was eventually approved by the FDA for the treatment of thyroid eye disease (TED). Hearing-related adverse events (AEs) with insulin-like growth factor-I receptor inhibitors have been reported in clinical trials. Methods: The incidence and severity of hearing-related AEs, as classified by the Medical Dictionary for Regulatory Activities, in teprotumumab-treated patients (N=633) receiving monotherapy (N=362) or in combination with anti-neoplastic therapy (N=271) from oncology clinical trials was evaluated. The relation of events to teprotumumab, severity, and drug exposure up to time of each event was calculated. Results: A total of 8 oncology clinical trials were included with 8.1% (N=51) of patients reporting any Ear and Labyrinth Disorder AEs, and 2.1 % (N=13) reporting events considered teprotumumab-related by the investigators. 3.8% of patients (N=24) reported hearing impairment or tinnitus-related events with 1.3% (N=8) ascribed to teprotumumab. Approximately 80% of reported AEs were considered mild, with Ear Discomfort being the most common. More than half of AEs were reported within 60 days of therapy initiation. The majority of patients (74%) had teprotumumab exposures consistent with the current FDA-recommended dosing regimen of teprotumumab for TED (150 mg/kg). Findings were consistent regardless of relatedness to teprotumumab or whether given as monotherapy or in combination with anti-neoplastic agents (some of which have been reported to cause hearing-related events). Of the teprotumumab-ascribed hearing AEs, two were considered moderate (deafness and hypoacusis) and one as severe (bilateral deafness). The moderate hypoacusis event occurred in a patient exposed to nearly twice the total dose of the recommended regimen of teprotumumab for TED. The severe event occurred in a patient exposed to almost 7 times the expected exposure with the recommended TED dosing. Conclusions: Hearing-related AE type and incidence were similar in patients who received teprotumumab as monotherapy or in combination with other agents in this sizeable oncology trial program. The most severe events reported were at higher drug exposures than used in the TED clinical trials. The types of AEs and incidence were also comparable to those reported in the TED clinical trial program and as reported in the current FDA-approved prescribed labeling for teprotumumab in the United States. Presentation Date: Saturday, June 17, 2023

Analysis of the adverse events following the mRNA-1273 COVID-19 vaccine

ABSTRACTObjectiveThis study aims to characterize the adverse events (AEs) following the administration of the mRNA-1273 COVID-19 vaccine from the Vaccine Adverse Event Reporting System (VAERS) data.MethodsIn this case/non-case analysis, reports between 1 January 2021, and 27 October 2022, were extracted from VAERS. AEs were defined as preferred terms (PTs) by Medical Dictionary for Regulatory Activities (MedDRA) terminology. Disproportionality analyses were conducted to calculate the reporting odds and proportional reporting ratios. The Bayesian approach was used to calculate information component (IC) values and Empirical Bayesian Geometric Mean scores for all the AEs detected.Results186 MedDRA PTs compromising 702,495 AEs associated with the mRNA-1273 vaccine were identified. Three statistically significant signals were identified for general and systemic AEs, administration site conditions, and product issues. Cardiac disorders were rarely reported, the most common being; 489 reports for ‘myocarditis’ (19.44%), 475 for ‘acute myocardial infarction’ (18.88%), 457 for ‘myocardial infarction’ (18.16%), 290 for ‘bradycardia’ (11.53%) and 281 for ‘pericarditis’ (11.17%).ConclusionsThe most frequently identified AEs following mRNA-1273 vaccination agree with those listed within the Summary of Product Characteristics. In addition, disproportionality analysis did not find any statistically significant signals for myocarditis or pericarditis.

Adverse Events of Cabozantinib Plus Nivolumab Versus Ipilimumab Plus Nivolumab

IntroductionRecently, many agents and combinations for metastatic and advanced renal cell carcinoma have been approved. This study aims to highlight the comprehensive differences in adverse events (AEs) between cabozantinib (CAB) plus nivolumab (NIVO) and ipilimumab (IPI) plus NIVO based on a real-world big dataset. Material and MethodsWe downloaded AE datasets of IPI + NIVO and CAB + NIVO from the Food and Drug Administration Adverse Event Reporting System database. We used the Medical Dictionary for Regulatory Activities to treat each AE as a preferred term and grouped it into the System Organ Class (SOC). We performed logistic regression analyses to compare IPI + NIVO and CAB + NIVO. ResultsThe incidence rates of 7 types of toxicities were higher for CAB + NIVO than for IPI + NIVO. On the other hand, the incidence rates of 3 types of toxicities were higher for IPI + NIVO than for CAB + NIVO. Serious AEs were higher in patients receiving IPI + NIVO. ConclusionOur findings suggest that both combination therapies presented a disproportionate distribution of toxicities in several SOC. These findings may help clinicians select suitable therapy for the individual and improve the safety profile in patients with advanced renal cell carcinoma receiving NIVO + IPI and NIVO + CAB in a real-world setting.

Post-marketing safety surveillance of dalfampridine for multiple sclerosis using FDA adverse event reporting system.

Objective: To investigate and analyze the post-marketing adverse event (AE) data of multiple sclerosis (MS) therapeutic drug dalfampridine using the US Food and Drug Administration Adverse Event Reporting System (FAERS) for its clinical safety application. Methods: Use OpenVigil2.1 platform to obtain AE data of dalfampridine from FAERS from February 2010 to September 2022. Match "adverse drug reaction" with preferred term (PT) and system organ class (SOC) according to the Medical Dictionary for Regulatory Activities (MedDRA), then merge the same PT and delete non-AE PT. Positive signals were identified by the reporting odds ratio (ROR), proportional reporting ratio (PRR), and Bayesian confidence propagation neural network (BCPNN) methods. When AE signals met the criteria of those three methods, they were identified as positive signals. Results: A total of 44,092 dalfampridine-related AE reports were obtained, and 335 AE signals were identified, including 11,889 AE reports. AEs were more common in females and in the 45-65 age group, which is consistent with the epidemiological characteristics of MS. The 335 AE signals involved 21 SOCs, including investigations, infections and infestations, eye disorders, etc. Among the top 20 PTs in signal strength, 10 were associated with abnormal lymphocyte percentage and count, and 5 were associated with abnormal urine tests, some of which were not described in the instruction, such as spinal cord injury cauda equina, haemoglobin urine present, urinary sediment abnormal and so on. The most frequently reported AE signals were urinary tract infection, dizziness, condition aggravated. In addition, 23 AE signals with death outcomes were identified, with an incidence of less than 0.1%. Conclusion: Data mining of FAERS was conducted to analyze the AEs of dalfampridine, and new AE signals were found. This study provides a reference for the safe use of dalfampridine in the treatment of MS.

Predictors of Pancreatitis Among Patients with Inflammatory Bowel Disease Treated with Vedolizumab: Observation from a Large Global Safety Database.

Patients with inflammatory bowel diseases (IBDs) are at increased risk of pancreatitis. Data from a global safety database (GSD) were queried to identify risk factors for pancreatitis in vedolizumab-treated patients with IBD. Takeda's GSD was retrospectively queried for case reports (CRs) of adverse events (AEs) following vedolizumab treatment, from licensure (May 20, 2014) through March 31, 2021. Unsolicited and solicited CRs of pancreatitis were coded using the Medical Dictionary for Regulatory Activities (MedDRA) High-Level Term "Acute and chronic pancreatitis." To examine factors associated with severe pancreatitis, serious CRs (serious AEs [SAEs]) were compared with SAEs from a comparator group of 600 random non-pancreatitis AEs. Comparisons were performed usingt, χ2, and Fisher's exact tests.Logistic regression was performed to adjust for covariates allowing backward selection. In total, 196 patients reported pancreatitis in >700,000 patient-years of vedolizumab exposure. Pancreatitis was serious in 195 patients (99.5%), and non-pancreatitis AEs were serious in 195 of 600 (32.5%) in the random comparator group. In the pancreatitis group, 17 patients (8.7%) had a known history of pancreatitis versus none in the random comparator group. Younger age, vedolizumab indication of ulcerative colitis, concomitant medications (with a risk for pancreatitis), pancreatitis history, and comorbid conditions (especially ongoing pancreatitis) were associated with development of severe pancreatitis. These analyses identified factors associated with pancreatitis SAEs in patients with IBD treated with vedolizumab, but do not suggest an increased risk of pancreatitis with vedolizumab. These findings will help inform which patients treated for IBD might have an elevated risk, regardless of treatment.