Pharmacovigilance Methods Research Articles

Abrocitinib-associated adverse events: a real-world pharmacovigilance study using the FAERS database

ABSTRACT Background Atopic dermatitis (AD) is a common chronic inflammatory skin disease. Janus kinase (JAK) modulates cytokines involved in AD pathophysiology, and JAK inhibitors have emerged as effective pharmacotherapeutic remedies for AD. Abrocitinib, an oral selective inhibitor of JAK1, is indicated for the management of moderate-to-severe AD. The current study evaluated the adverse events (AEs) associated with abrocitinib in a real-world setting. Methods To quantify the signals of abrocitinib-associated AEs, we used the US Food and Drug Administration Adverse Event Reporting System (FAERS) for this pharmacovigilance study with two established pharmacovigilance methods. Results A total of 1071 AEs of abrocitinib were investigated as the primary suspected from the FAERS to detect and characterize relevant safety signals. The analysis revealed 85 signals for abrocitinib. The most common AE for abrocitinib was drug ineffective. The signal strength of eczema herpeticum was 515.87 (277.80–957.98) and 510.59 (5148.65) and exhibited the highest strength for abrocitinib. Rare AEs such as aggravated condition, pruritus, and hypersensitivity were not listed on the label, and attention to these AEs is required. Conclusion The analysis of the AE signals may provide support for clinical monitoring and risk identification of abrocitinib.

Analysis of local anesthetics side effects and determination of ways for their minimization

According to the World Health Organization (WHO), the development of side effects of drugs is one of the serious medical problems.The relevance of this problem is proven by numerous statistical data obtained in different countries of the world. The aim of the study was to determine the assortment of local anesthetics (LAs) on the pharmaceutical market of Ukraine, to analyze the evidence base of the effectiveness and safety of modern LAs, to monitor the side effects (SEs) of LAs in Kharkiv and Kharkiv region for the period 2018–2021, and to provide recommendations for their minimization. The methods of passive pharmacovigilance, method of spontaneous reports, method of system approach and system analysis were used in the study. To analyze the clinical effectiveness and conditions of rational use of LAs, well-known data bases were used: Cochrane Library, Trip Database, and PubMed. These databases contain systematized primary or secondary information on a specific clinical issue: the effectiveness and safety of various medical technologies. The results of the analysis of the assortment of LAs on the pharmaceutical market of Ukraine showed that in 2023, based on 9 international non-patented names of LAs, 65 trade names were presented. Bupivacaine and procaine drugs (16 trade names each) and articaine drugs in combinations (13 trade names) are market leaders. The results of the analysis of notification cards with cases of SEs for 4 years revealed that the majority of them in the form of dizziness, weakness, changes in blood pressure, heart rate, edema, itching, hyperemia at the site of application were recorded when using lidocaine drugs, which are the most in demand and popular among doctors. According to the data of systematic reviews, the main directions for reducing the side effects of LAs have been established, such as administration under ultrasound control, the use of the least toxic modern anesthetics ropivacaine and levobupivacaine (not available on the Ukrainian market), the addition of substances with vasoconstrictive properties to the anesthetic solution, the use of combinations of long-acting and short-acting anesthetics. The results obtained can be used by practicing doctors and health care organizers to optimize LAs.

The Increasing Demand for Skilled Professionals in the Field of Pharmacovigilance

ABSTRACT The pharmaceutical sector is experiencing rapid advancements in drug discovery, strict regulations, and a commitment to patient safety. This has led to an increased demand for skilled pharmacovigilance experts who can ensure the safety and effectiveness of medicinal products. Several factors contribute to this demand. The expanding pharmaceutical landscape leads to the need for thorough investigation of the safety profile of new medications and treatments. The increasing volume of pharmaceutical products also requires close monitoring for safety and efficacy. Strict regulatory requirements from global agencies further emphasize the need for a robust pharmacovigilance system. The industry’s focus on patient safety drives the demand for professionals who can effectively manage and analyze safety data. The rise of biologics and biosimilars presents additional challenges in monitoring and assessing safety profiles, creating a need for specialized expertise. Furthermore, the globalization of clinical trials and technological advancements, such as artificial intelligence (AI) and machine learning (ML), require experts who can integrate these tools into pharmacovigilance methods. There are certain skill sets that are crucial for pharmacovigilance professionals. These include regulatory knowledge, data analysis and interpretation, case processing, signal detection and risk management, medical and scientific expertise, communication skills, and technological proficiency. There are various career opportunities in pharmacovigilance, including pharmacovigilance officer, pharmacovigilance scientist, medical reviewer, pharmacovigilance team lead/manager, regulatory affairs specialist, and consultant and trainer. Future trends in the field include the convergence of AI and ML, the use of real-world evidence for postmarketing surveillance and drug safety monitoring, collaboration, and outsourcing for PV projects, and the need to tailor pharmacovigilance approaches to personalized medicine. In conclusion, the pharmaceutical industry’s evolution and commitment to patient safety have created a growing need for skilled professionals in pharmacovigilance. Investments in the development and education of these professionals are essential for the advancement of drug safety and public health.

Review on Pharmacovigilance Method, Recent Developments, Future Perspective and Software

Abstract: Pharmacovigilance starts in the clinical stage and continues the entire drug's life cycle. Pharmacovigilance is the study, identification, and prevention of potential drug-related issues and side effects, with an emphasis on the acute and longterm impacts of pharmaceuticals, biological products, herbal remedies, and traditional treatments. Pharmacovigilance has changed recently, becoming more and more crucial to improved clinical practice and public health research. Pharmacovigilance employs a range of techniques, including focused clinical investigations, stimulated reporting, passive and active surveillance, comparative observational studies, and descriptive research. New advances in pharmacovigilance are crucial to meeting patient needs and maintaining their health. Three papers in pharmacovigilance are available for future guidance: Waller and Evans' Erice Manifesto for Global Reform of the Safety of Medicines in Patient Care; the Erice Declaration on Transparency; and the Erice Declaration on Transparency. Pharmacovigilance in the future must be able to identify safe problems quickly in order to persuade the patient about the drug's safe use. Additionally, pharmacovigilance techniques can be used to determine which patients are susceptible to adverse drug reactions (ADRs) and how those reactions might occur. The use of patients as information sources in the pharmacovigilance sector is crucial for this process. The majority of software uses are for ADR administration and reporting. The programmes that are most frequently used include repClinical, PvNET, Oracle Argus Safety, ArisG, and Oracle adverse event reporting.

Efficient analysis of adverse drug events and toxicological mechanisms of newly marketed drugs by integrating pharmacovigilance and network toxicology: selumetinib as an example.

To integrate pharmacovigilance and network toxicology methods to explore the potential adverse drug events (ADEs) and toxic mechanisms of selumetinib, and to provide a reference for quickly understanding the safety and toxicological mechanisms of newly marketed drugs. Taking selumetinib as an example, this study integrated pharmacovigilance methods based on real-world data and network toxicology methods to analyze its ADE and its potential toxicological mechanism. First, the ADE reports of selumetinib were extracted from the US Food and Drug Administration (FDA) adverse event reporting system (FAERS), and the ADE signals were detected by reporting odds ratio (ROR) and UK medicines and healthcare products regulatory agency (MHRA) methods. The ADE signals were classified and described according to the preferred terms (PTs) and system organ class (SOC) derived from the Medical Dictionary for Regulatory Activities (MedDRA). The network toxicology method was used to analyze the toxicological mechanism of the interested SOCs. The specific steps included predicting the potential targets of selumetinib using TOXRIC, STITCH, ChEMBL, CTD, SwissTargetPreditcion, and Super-PRED databases, collecting the targets of SOC using GeneCards database, conducting protein-protein interaction (PPI) analysis through STRING database, conducting gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analysis through DAVID database, and testing the molecular affinity using AutoDock software. A total of 1388 ADE reports related to selumetinib were extracted, and 53 positive signals were detected by ROR and MHRA methods, of which 20 signals were not mentioned in the package insert, including ingrowing nail, hyperphosphatemia, cardiac valve disease, hematuria, neutropenia, etc. Analysis of the toxicological mechanism of six SOCs involved in positive ADE signals revealed that the key targets included EGFR, STAT3, AKT1, IL6, BCL2, etc., and the key pathways included PI3K/Akt pathway, apoptosis, ErbB signaling pathway, and EGFR tyrosine kinase inhibitor resistance, etc. Molecular docking assays showed spontaneous binding of selumetinib to key targets in these pathways. The pharmacovigilance analysis identified some new potential ADEs of selumetinib, and the network toxicology analysis showed that the toxic effects of selumetinib may be related to PI3K/Akt pathway, apoptosis, ErbB signaling pathway, EGFR tyrosine kinase inhibitor resistance and other pathways.

SUBJECTIVE ANALYSIS OF QUALITY INDICATORS OF MEDICINAL PRODUCTS

The purpose of the study is to assess the quality indicators and side effects of medicinal substances from a subjective point of view. Materials and methods. 40 attending therapeutists, 45 pharmacists and 100 patients were involved in the study at the Department of Pharmaceutical Technologies and Management and the Department of Medical and Biological Physics, the Azerbaijan Medical University in order to assess the quality indicators and side effects of medicinal substances from a subjective point of view. At the first stage, a special survey was used to study which factors, such as efficacy, safety, quality and price of drug, are accepted as the main criteria when prescribing a particular drug in research institutions.Results: Among the surveyed internists, 31 individuals, constituting 77.5% of the participants, emphasized the significance of product quality when prescribing medications. Two pharmacists from the total surveyed mentioned drug-induced side effects affecting the respiratory system. Furthermore, 77.5% of internists engaged in the survey reported that medicinal substances resulted in gastrointestinal side effects not explicitly outlined in the instructions. 88.9% of participating pharmacists noted drug-induced side effects on the gastrointestinal system in patients. Conclusions: The effective resolution of the issue investigated in this study hinges on the practical implementation of modern and enhanced pharmacovigilance methods to monitor the circulation of substandard medicines. This requires fostering a responsible attitude among all stakeholders, including the primary subjects of treatment, towards timely detection and improvement of drug safety. In clinical practice, instances of adverse reactions in patients using medications have frequently been observed. Most commonly, doctors and pharmacists noted similar reactions originating from the gastrointestinal tract, with respiratory system issues reported less frequently. When selecting medications, both doctors and pharmacists prioritize effectiveness, safety, and quality, with cost being of lesser importance.

Respiratory Syncytial Virus Vaccines: A Review of the Candidates and the Approved Vaccines.

Respiratory syncytial virus (RSV) is responsible for a significant proportion of global morbidity and mortality affecting young children and older adults. In the aftermath of formalin-inactivated RSV vaccine development, the effort to develop an immunizing agent was carefully guided by epidemiologic and pathophysiological evidence of the virus, including various vaccine technologies. The pipeline of RSV vaccine development includes messenger ribonucleic acid (mRNA), live-attenuated (LAV), subunit, and recombinant vector-based vaccine candidates targeting different virus proteins. The availability of vaccine candidates of various technologies enables adjustment to the individualized needs of each vulnerable age group. Arexvy® (GSK), followed by Abrysvo® (Pfizer), is the first vaccine available for market use as an immunizing agent to prevent lower respiratory tract disease in older adults. Abrysvo is additionally indicated for the passive immunization of infants by maternal administration during pregnancy. This review presents the RSV vaccine pipeline, analyzing the results of clinical trials. The key features of each vaccine technology are also mentioned. Currently, 24 vaccines are in the clinical stage of development, including the 2 licensed vaccines. Research in the field of RSV vaccination, including the pharmacovigilance methods of already approved vaccines, promotes the achievement of successful prevention.

Characteristics of adverse drug reactions induced by flutamide and bicalutamide: a real-world pharmacovigilance study using FAERS

ABSTRACT Background Flutamide and bicalutamide are indicated for the management of prostate metastatic carcinoma. The current study evaluated the adverse drug reactions related to flutamide and bicalutamide in a real-world setting. Methods To quantify the signals of flutamide and bicalutamide associated adverse events (AEs), we used the US Food and Drug Administration Adverse Event Reporting System (FAERS) for this pharmacovigilance study using established pharmacovigilance methods. Results A total of 2711 AEs of flutamide were investigated as the primary suspected; 522 AEs were related to prostate cancer. A total of 4459 AEs were investigated as the primary suspected for bicalutamide; 2251 AEs were related to prostate cancer. The analysis demonstrated 29 signals for flutamide and 84 for bicalutamide. Liver function test was the most common AEs for flutamide, and malignant neoplasm progression was the most common for bicalutamide. The signal strength of Dementia Alzheimer’s type was 26.53 (17.89–39.35) and 26.33 (607.34), which had the highest strength for flutamide. Anti-androgen withdrawal syndrome exhibited the strongest signal for bicalutamide. Generating awareness of rare AEs that were not listed on the label is critical. Conclusions The analysis of the AE signals may provide support for prescribing flutamide and bicalutamide.

Empowering Pharmacovigilance: Unleashing the Potential of Generative AI in Drug Safety Monitoring

Pharmacovigilance plays a crucial role in ensuring drug safety and promoting patient well-being throughout the life cycle of medicinal products. However, this field faces several challenges, including underreporting of adverse events, data quality issues, and the complexity of signal detection in large datasets. To address these challenges and enhance drug safety monitoring, there is a growing interest in harnessing the potential of generative artificial intelligence (AI) techniques. This article explores the applications and implications of generative AI in pharmacovigilance. It provides an overview of popular generative models and their working principles, highlighting their ability to analyse drug databases, medical literature, and real-world data sources to identify drug-drug interactions, adverse events, and potential safety signals. Moreover, it emphasizes the importance of human validation and expert oversight in interpreting and acting on the insights generated by generative AI algorithms. The integration of generative AI with traditional pharmacovigilance methods creates a synergistic approach, combining the computational power of AI with human expertise. This integration can lead to improved signal detection, efficient case report generation, proactive risk assessment, and optimized resource allocation. Additionally, the article addresses challenges related to data quality, interpretability, and model validation in generative AI applications, emphasizing the need for standardized protocols and collaborative efforts among stakeholders. Overall, the potential of generative AI in pharmacovigilance is vast. By leveraging its capabilities, we can enhance drug safety monitoring, facilitate early detection of adverse events, and improve patient outcomes. However, it is crucial to address ethical considerations, ensure data privacy, and maintain human oversight to foster responsible and effective implementation of generative AI in pharmacovigilance practices.

Classification of patient characteristics associated with reported adverse drug events to neuraminidase inhibitors: an applicability study of latent class analysis in pharmacovigilance.

Signal detection in reports of spontaneous adverse drug reactions is useful in pharmacovigilance, but does not adequately consider potential confounding factors such as patient background information contained in the report data. Multiple indicators should be considered when generating safety hypotheses. The aim of this study was to evaluate whether latent class analysis (LCA) can complement conventional methods in pharmacovigilance. We conducted LCA of 2732 reports of adverse drug reactions involving four widely used anti-influenza neuraminidase inhibitors in the Japanese Adverse Drug Event Report (JADER) database covering April 2004 to June 2020. LCA classifies the target population into multiple clusters based on response probability. The same data was subjected to multivariate logistic regression using an adjusted reporting odds ratio. LCA grouped the target population into three classes. Cluster 1 (46.4%) contained patients who developed adverse events other than neuropsychiatric events; these events were specific to adult females. Cluster 2 (28.7%) contained patients who developed abnormal behavior; these events were specific to underage males. Cluster 3 (24.8%) contained patients who developed adverse neuropsychiatric events other than abnormal behavior, such as hallucinations and convulsion; these events were specific to minors. Logistic regression of adverse events for which a signal was detected identified factors similar to those found in LCA. LCA classified adverse events in JADER with similar incidence tendencies into the same cluster. The results included signals identified by conventional logistic regression, suggesting that LCA may be useful as a complementary tool for generating drug safety hypotheses.

COVID-19 Vaccination Breakthrough Infections in a Real-World Setting: Using Community Reporters to Evaluate Vaccine Effectiveness.

PurposeCoronavirus disease 2019 (COVID-19) has highlighted the need for new methods of pharmacovigilance. Here, we use adult community volunteers to obtain systematic information on vaccine effectiveness and the nature and severity of breakthrough infections.MethodsBetween December 15, 2020 and September 16, 2021, 11,826 unpaid community-based volunteers reported the following information to an on-line registry: COVID-19 test results, vaccination (Pfizer, Moderna, or Johnson & Johnson) and COVID-19 symptoms. COVID-19 infections were described based on vaccination status at the time of infection: 1) fully vaccinated, 2) partially vaccinated (received first of two-dose vaccines or were <14 days post-final dose), or 3) unvaccinated.ResultsAmong 8554 participants who received any COVID-19 vaccine, COVID-19 infections were reported by 74 (1.0%) of those who were fully vaccinated and 198 (2.3%) of those who were partially vaccinated at the time of infection. Among the 74 participants who reported a breakthrough infection after full vaccination, the median time from vaccination to reported positive test result was 104.5 days (interquartile range: 77–135 days), with no difference among vaccine manufacturers. One quarter (25.7%) of breakthrough infections in the fully vaccinated cases were asymptomatic and most (>97%) fully vaccinated participants reported no symptoms or only mild symptoms compared to 89.3% of the unvaccinated cases. Only 1.4% of fully vaccinated participants reported experiencing at least 3 moderate-to-severe symptoms compared to 7.8% in the unvaccinated.ConclusionPerson-generated health data, also referred to as patient-reported outcomes, is a useful approach for quantifying breakthrough infections and their severity and for comparing vaccines.Trial RegistrationClinicaltrials.gov NCT04368065, EU PAS Register EUPAS36240.

The role of in vitro testing in pharmacovigilance for ß-lactam-induced serum sickness-like reaction: A pilot study.

Background: Current pharmacovigilance (PV) methods for detection of adverse drug reactions (ADRs) fail to capture rare immune-mediated drug hypersensitivity reactions (DHRs) due to their scarcity and the lack of clear diagnostic criteria. Drug-induced serum sickness-like reactions (SSLRs) are rare type of DHRs that occur in susceptible patients 1–3 weeks after exposure to the culprit drug with ß-lactam antibiotics being the most associated drugs. The diagnosis of drug induced SSLR is difficult due to the lack of safe and reliable diagnostic tests for identifying the culprit drug. The lymphocyte toxicity assay (LTA) is an in vitro test used as a diagnostic tool for drug hypersensitivity reactions (DHRs). Objective: To evaluate the role of the LTA test for diagnosing and capturing SSLR due to ß-lactam antibiotics in a cohort of patients. Methods: Patients were recruited from patients referred to the Drug Hypersensitivity Clinic at Clinic at London Health Science Centre with suspicion of drug allergy. Twenty patients (10 males and 10 females) were selected to be tested to confirm diagnosis. Demographic data was collected form the patents and blood samples were withdrawn from all patients and from 20 healthy controls. The LTA test was performed on all subjects and data is expressed as percentage increase in cell death compared to control (vehicle without the drug). Results: In the result of LTA tests performed on samples from the selected 20 patients. There was a significant (p < 0.05) concentration-dependent increase in cell death in cells isolated from patients as compared to cells from healthy controls when incubated with the drug in the presence of phenobarbitone-induced rat liver microsomes. Conclusion: Giving its safety and good predictive value the LTA test has very strong potential to be a useful diagnostic tool for ß-lactam-induced SSLR. The test procedure is relatively simple and not overly costly. Further studies including other drug classes are needed to evaluate the utility of the LTA test for SSLR due to other drugs.

Automated gathering of real-world data from online patient forums can complement pharmacovigilance for rare cancers

Current methods of pharmacovigilance result in severe under-reporting of adverse drug events (ADEs). Patient forums have the potential to complement current pharmacovigilance practices by providing real-time uncensored and unsolicited information. We are the first to explore the value of patient forums for rare cancers. To this end, we conduct a case study on a patient forum for Gastrointestinal Stromal Tumor patients. We have developed machine learning algorithms to automatically extract and aggregate side effects from messages on open online discussion forums. We show that patient forum data can provide suggestions for which ADEs impact quality of life the most: For many side effects the relative reporting rate differs decidedly from that of the registration trials, including for example cognitive impairment and alopecia as side effects of avapritinib. We also show that our methods can provide real-world data for long-term ADEs, such as osteoporosis and tremors for imatinib, and novel ADEs not found in registration trials, such as dry eyes and muscle cramping for imatinib. We thus posit that automated pharmacovigilance from patient forums can provide real-world data for ADEs and should be employed as input for medical hypotheses for rare cancers.

Skin cancers under Janus kinase inhibitors: A World Health Organization drug safety database analysis

Janus kinase (JAK) inhibitors are targeted therapies with a potential imunomodulatory and anti-inflammatory effect, indicated in various dysimmune pathologies. Skin cancers have been reported to occur in patients treated with JAK inhibitors. However, drug safety in clinical trials did not confirm that risk, but these studies are performed on controlled population and in a limited time of follow up. The aim of this study is to evaluate in real life condition if a disproportionality signal exists between JAK inhibitors treatment and skin cancers. We performed cases/non cases analysis in VigiBase® (the World Health Organization international database of suspected adverse drug reaction) using information component to search for a disproportionality signal of skin cancers from JAK inhibitor. We extracted all reports of skin cancers from the French Pharmacovigilance database occurring since 1978 up to 31st December 2019 for the three existing JAK inhibitors on market: ruxolitinib, tofacitinib and baricitinib. Only melanoma, squamous cell carcinoma and Merkel cell carcinoma were analyzed, according to the pathophysiology of these cancers and their link with immunosuppression. A disproportionality signal was found positive for squamous cell carcinoma with ruxolitinib (IC025=3.92) and tofacitinib (IC025=0.82), for melanoma with ruxolitinib (IC025=0.81) and tofacitinib (IC025=0.74), and Merkel cell carcinoma with ruxolitinib (IC025=4) and tofactinib (IC025=1.01) and only for Merkel cell carcinoma with baricitinib (IC025=0.53). Moreover, Merkel cell carcinoma, a very rare skin cancer more prevalent in immunodepressed patients was particularly represented in our sample and was associated with a significant disproportionality signal with all the studied JAK inhibitors. Our study shows that JAK inhibitors could be associated with an extra risk to develop skin cancers. Could an anti-viral or immunovigilance disruption mechanism brought by JAK inhibitors explain an over-risk with Merkel cell carcinoma, which were notably represented in our sample? Considering pharmacovigilance method limitations, further pharmacoepidemiological studies are required to assess a causal link between JAK inhibitors treatment and skin cancers development.

A retrospective pharmacovigilance analysis: could decreased reporting of suspected adverse reactions generate future safety concerns?

The collection and management of spontaneous reports of suspected adverse drug reactions represents a passive pharmacovigilance method for post-marketing drug safety surveillance, as it is a practical and rapid way to detect a potential warning sign. We performed an in-depth retrospective analysis of suspected adverse reaction reports in the National Pharmacovigilance Network (RNF) for the first eight months of 2019 (pre-pandemic period), 2020 (global pandemic covid-19 onset), 2021 (first post-pandemic period due to vaccine phase). The reports of suspected adverse drug reactions were extrapolated from the National Network of Pharmacovigilance. Data from Italy, the Campania Region, and the Local Health Unit Naples 3 South were compared. A retrospective qualitative analysis of demographics data, clinical status, suspected drugs, adverse drug reactions (ADRs) description and its degree of seriousness were collected. We observed 1071 ADRs, of which 281 were serious; of these, 39 led to hospitalization, 779 were not serious, and 2 caused death. In the pre-pandemic period, chemotherapy drugs most frequently induced ADRs. The year 2020, in the midst of the covid-19 pandemic, saw a clear reduction in the number of drug reports, compared to 2019 and 2021, both at national and regional level, and at ASL Napoli 3 Sud. A reduction in 2020 that ranges from -40.75% to -72.56% at the national and regional level, respectively; reaching as much as -88.13% at the local level in the health authority under analysis. In 2021, on the other hand, there is a clear increase in the number of reports, which numerically exceed even those in 2019 by +194.71% in Italy, +15.25% in the Campania Region, and +90.68% in the Local Health Unit Naples 3 South. The covid-19 pandemic has affected the trend in the number of reports of suspected adverse drug reactions. This is for several reasons: first, frontline exposed health care workers have been able to devote less time to pharmacovigilance activities to cope with the health emergency, second, since the start of the covid-19 vaccination campaign, health care workers have been more focused on reporting suspected adverse reactions to vaccines. Clinicians should beware of these adverse effects and monitor early warning signs carefully.

Updated Insights on Cardiac and Vascular Risks of Proton Pump Inhibitors: A Real-World Pharmacovigilance Study.

BackgroundProton pump inhibitors (PPIs) are among the most widely prescribed medications in clinical practice. However, there are also concerns about the potential risks of long-term PPI use. The present study aimed to examine the safety of PPIs and summarize their potential cardiac and vascular risks in a real-world setting.MethodsThis pharmacovigilance study extracted records between January 2015 and December 2019 from the FDA Adverse Event Reporting System (FAERS) database. The association of seven PPI medications with cardiac and vascular events (CVEs) were evaluated. Two established pharmacovigilance methods, reporting odds ratio (ROR) and information components (IC) based statistical shrinkage, were used to measure disproportionality.ResultsIn total 62,140 CVE records associated with PPI use were investigated. Women showed a higher proportion (54.37%) of PPI-associated CVEs. The median time from PPI initiation to CVE onset was 97 [interquartile range (IQR): 8–491] days, with the shortest median time of 42 days (IQR: 2–277 days) for esomeprazole, and the longest time of 389 days (IQR: 0–525 days) for dexlansoprazole. Although PPIs were not associated with elevated CVE risks compared those of the whole database (IC025/ROR025 = −0.39/0.74), various signals emerged. Despite some similarities exist between the PPIs, their cardiac and vascular safety profiles varied significantly. Pantoprazole showed the broadest spectrum of signals, from thrombotic thrombocytopenic purpura (IC025/ROR025 = 0.01/1.08) to renal haemangioma (IC025/ROR025 = 3.14/9.58). Esomeprazole showed the second-broadest spectrum of toxicities, ranging from duodenal ulcer hemorrhage (IC025/ROR025 = 0.07/1.28) to hypertensive nephropathy (IC025/ROR025 = 4.09/18.72). Vascular signals were more dominant than cardiac signals, suggesting that vascular function was more heavily affected. Hypertensive nephropathy, renal haemangioma, renal artery stenosis, and renal infarct had strong signals across most PPI regimens and merited further attention.ConclusionsPPIs may inflict various CVEs, particularly those involving the vascular system, on the users. Given the wide range of onset times and different toxicity profiles for various PPI medications, they should be prescribed with caution.

Data mining methodology for response to hypertension symptomology-application to COVID-19-related pharmacovigilance.

Potential therapy and confounding factors including typical co-administered medications, patient's disease states, disease prevalence, patient demographics, medical histories, and reasons for prescribing a drug often are incomplete, conflicting, missing, or uncharacterized in spontaneous adverse drug event (ADE) reporting systems. These missing or incomplete features can affect and limit the application of quantitative methods in pharmacovigilance for meta-analyses of data during randomized clinical trials. Data from patients with hypertension were retrieved and integrated from the FDA Adverse Event Reporting System; 134 antihypertensive drugs out of 1131 drugs were filtered and then evaluated using the empirical Bayes geometric mean (EBGM) of the posterior distribution to build ADE-drug profiles with an emphasis on the pulmonary ADEs. Afterward, the graphical least absolute shrinkage and selection operator (GLASSO) captured drug associations based on pulmonary ADEs by correcting hidden factors and confounder misclassification. Selected drugs were then compared using the Friedman test in drug classes and clusters obtained from GLASSO. Following multiple filtering stages to exclude insignificant and noise-driven reports, we found that drugs from antihypertensives agents, urologicals, and antithrombotic agents (macitentan, bosentan, epoprostenol, selexipag, sildenafil, tadalafil, and beraprost) form a similar class with a significantly higher incidence of pulmonary ADEs. Macitentan and bosentan were associated with 64% and 56% of pulmonary ADEs, respectively. Because these two medications are prescribed in diseases affecting pulmonary function and may be likely to emerge among the highest reported pulmonary ADEs, in fact, they serve to validate the methods utilized here. Conversely, doxazosin and rilmenidine were found to have the least pulmonary ADEs in selected drugs from hypertension patients. Nifedipine and candesartan were also found by signal detection methods to form a drug cluster, shown by several studies an effective combination of these drugs on lowering blood pressure and appeared an improved side effect profile in comparison with single-agent monotherapy. We consider pulmonary ADE profiles in multiple long-standing groups of therapeutics including antihypertensive agents, antithrombotic agents, beta-blocking agents, calcium channel blockers, or agents acting on the renin-angiotensin system, in patients with hypertension associated with high risk for coronavirus disease 2019 (COVID-19). We found that several individual drugs have significant differences between their drug classes and compared to other drug classes. For instance, macitentan and bosentan from endothelin receptor antagonists show major concern while doxazosin and rilmenidine exhibited the least pulmonary ADEs compared to the outcomes of other drugs. Using techniques in this study, we assessed and confirmed the hypothesis that drugs from the same drug class could have very different pulmonary ADE profiles affecting outcomes in acute respiratory illness. GJW and MJD accepted funding from BioNexus KC for funding on this project, but BioNexus KC had no direct role in this article.

Visualization of research on Chinese medicine-induced kidney injury by CiteSpace

This study aimed to provide researchers with a better understanding of the research status, progress and problems of Chinese medicine-induced kidney injury. The mapping knowledge domain(MKD) was chosen to visualize the research process, hotspots,and frontiers, thus providing a reference for follow-up research. The relevant articles were retrieved from China National Knowledge Infrastructure(CNKI) from its inception to November 20, 2020, and 683 were finally included for visualization, with a knowledge map covering the keywords, research institutions and authors plotted by Cite Space. Since 2006, the annual number of published articles regarding Chinese medicine-induced kidney injury has steadily declined. The top five keywords sorted by frequency of co-occurrence were tubulointerstitial nephritis(TIN), aristolochic acid(AA), Akebiae Caulis, experimental research, and descriptive research. Akebiae Caulis appeared at the highest frequency of co-occurrence among Chinese medicines and exhibited the highest burst intensity. The burst ended in 2020, when the Chinese medicine with the highest burst intensity changed to Tripterygii wilfordii and its preparations. It could be seen that Akebiae Caulis was the hotspot in the research of Chinese medicine-induced kidney injury, and T. wilfordii became the research frontier. The current research has mainly focused on &quot; organic anion transporters&quot; and &quot; metabolomics&quot;. The decline in articles about Chinese medicine-induced kidney injury was attributed to the reduced clinical case reports after the in-depth study of Chinese medicine-induced kidney injury. However, more clinical studies need to be conducted based on the concept and method of pharmacovigilance to construct a pharmacovigilance system of Chinese medicine for actively and passively monitoring and collecting the clinical cases with Chinese medicine-induced kidney injury, figuring out the incidence and characteristics of adverse reactions caused by Chinese medicine, and carrying out comprehensive and multi-dimensional safety research.

Risk of Bleeding Associated With Antidepressants: Impact of Causality Assessment and Competition Bias on Signal Detection.

Introduction: It has not yet been possible to demonstrate the well-established increased bleeding risk related to antidepressants (ADs) with methods of pharmacovigilance as disproportionality analysis. As bleeding events related to ADs often occur under comedication with antithrombotics, ADs might not be considered causative of, but merely “linked” with the bleeding event. Therefore, we hypothesized that causality assessment of bleeding events related to ADs and the competitive impact of antithrombotics are factors contributing to the mentioned previous non-findings.Methods: We performed a case/non-case study based on data from VigiBase™ and calculated reporting odds ratios (RORs) for 25 ADs. We used individual case safety reports (ICSRs) that were differently categorized in the database regarding the type of association between drug and event. Furthermore, we investigated the competitive impact of antithrombotics by comparing RORs calculated with and without ICSRs related to antithrombotics.Results: Analysis of ICSRs that were categorized as causally associated with ADs resulted in detection of only 2 signals (citalopram and escitalopram; upper gastrointestinal bleeding). Analysis of ICSRs irrespective of the type of association resulted in detection of 8 signals (regarding bleeding in general, gastrointestinal bleeding and upper gastrointestinal bleeding). In our analysis, consideration of ICSRs associated with antithrombotics as competitive substances did not have significant impact on signal detection.Conclusion: Categorization of the type of association between drug and event may affect quantitative signal detection toward reduced sensitivity. Causality assessment seems to significantly impact signal detection, probably particularly in rare, unknown, or clinically unremarkable adverse drug reactions. ADs appear to increase the bleeding risk considerably, even independent of antithrombotic comedication.

Nephrotoxicity of immune checkpoint inhibitor therapy: a pharmacovigilance study.

Immune checkpoint inhibitor (ICI) therapy has demonstrated impressive clinical benefits across cancers. However, adverse drug reactions (ADRs) occur in every organ system, often due to autoimmune syndromes. We sought to investigate the association between ICI therapy and nephrotoxicity using a pharmacovigilance database, hypothesizing that inflammatory nephrotoxic syndromes would be reported more frequently in association with ICIs. We analyzed VigiBase, the World Health Organization pharmacovigilance database, to identify renal ADRs (rADRs), such as nephritis, nephropathy and vascular disorders, reported in association with ICI therapy. We performed a disproportionality analysis to explore if rADRs were reported at a different rate with one of the ICI drugs compared with rADRs in the entire database, using an empirical Bayes estimator as a significance screen and defining the effect size with a reporting odds ratio (ROR). We found 2341 rADR for all examined ICI drugs, with a disproportionality signal solely for nephritis [ROR = 3.67, 95% confidence interval (CI) 3.34-4.04]. Examining the different drugs separately, pembrolizumab, nivolumab and ipilimumab + nivolumab combination therapy had significantly higher reporting odds of nephritis than the other ICI drugs (ROR = 4.54, 95% CI 3.81-5.4; ROR = 3.94, 95% CI 3.40-4.56; ROR 3.59, 95% CI 2.71-4.76, respectively). Using a pharmacovigilance method, we found increased odds of nephritis when examining rADRs associated with ICI therapy. Pembrolizumab, nivolumab and a combination of ipilimumab + nivolumab showed the highest odds. Clinicians should consider these findings and be aware of the increased risk of nephritis, especially in patients treated with pembrolizumab, when administering ICI therapy.