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Trends in Pharmacological Sciences Sep 2019Interventional pharmacology is one of medicine's most potent weapons against disease. These drugs, however, can result in damaging side effects and must be closely... (Review)
Review
Interventional pharmacology is one of medicine's most potent weapons against disease. These drugs, however, can result in damaging side effects and must be closely monitored. Pharmacovigilance is the field of science that monitors, detects, and prevents adverse drug reactions (ADRs). Safety efforts begin during the development process, using in vivo and in vitro studies, continue through clinical trials, and extend to postmarketing surveillance of ADRs in real-world populations. Future toxicity and safety challenges, including increased polypharmacy and patient diversity, stress the limits of these traditional tools. Massive amounts of newly available data present an opportunity for using artificial intelligence (AI) and machine learning to improve drug safety science. Here, we explore recent advances as applied to preclinical drug safety and postmarketing surveillance with a specific focus on machine and deep learning (DL) approaches.
Topics: Adverse Drug Reaction Reporting Systems; Animals; Artificial Intelligence; Drug Evaluation, Preclinical; Drug-Related Side Effects and Adverse Reactions; Humans; Machine Learning; Pharmacovigilance; Product Surveillance, Postmarketing; Quantitative Structure-Activity Relationship; Toxicity Tests
PubMed: 31383376
DOI: 10.1016/j.tips.2019.07.005 -
BMC Psychiatry Jun 2020Antidepressants-induced movement disorders are rare and imperfectly known adverse drug reactions. The risk may differ between different antidepressants and... (Observational Study)
Observational Study
BACKGROUND
Antidepressants-induced movement disorders are rare and imperfectly known adverse drug reactions. The risk may differ between different antidepressants and antidepressants' classes. The objective of this study was to assess the putative association of each antidepressant and antidepressants' classes with movement disorders.
METHODS
Using VigiBase®, the WHO Pharmacovigilance database, disproportionality of movement disorders' reporting was assessed among adverse drug reactions related to any antidepressant, from January 1967 to February 2017, through a case/non-case design. The association between nine subtypes of movement disorders (akathisia, bruxism, dystonia, myoclonus, parkinsonism, restless legs syndrome, tardive dyskinesia, tics, tremor) and antidepressants was estimated through the calculation first of crude Reporting Odds Ratio (ROR), then adjusted ROR on four potential confounding factors: age, sex, drugs described as able to induce movement disorders, and drugs used to treat movement disorders.
RESULTS
Out of the 14,270,446 reports included in VigiBase®, 1,027,405 (7.2%) contained at least one antidepressant, among whom 29,253 (2.8%) reported movement disorders. The female/male sex ratio was 2.15 and the mean age 50.9 ± 18.0 years. We found a significant increased ROR for antidepressants in general for all subtypes of movement disorders, with the highest association with bruxism (ROR 10.37, 95% CI 9.62-11.17) and the lowest with tics (ROR 1.49, 95% CI 1.38-1.60). When comparing each of the classes of antidepressants with the others, a significant association was observed for all subtypes of movement disorders except restless legs syndrome with serotonin reuptake inhibitors (SRIs) only. Among antidepressants, mirtazapine, vortioxetine, amoxapine, phenelzine, tryptophan and fluvoxamine were associated with the highest level to movement disorders and citalopram, paroxetine, duloxetine and mirtazapine were the most frequently associated with movement disorders. An association was also found with eight other antidepressants.
CONCLUSIONS
A potential harmful association was found between movement disorders and use of the antidepressants mirtazapine, vortioxetine, amoxapine, phenelzine, tryptophan, fluvoxamine, citalopram, paroxetine, duloxetine, bupropion, clomipramine, escitalopram, fluoxetine, mianserin, sertraline, venlafaxine and vilazodone. Clinicians should beware of these adverse effects and monitor early warning signs carefully. However, this observational study must be interpreted as an exploratory analysis, and these results should be refined by future epidemiological studies.
Topics: Adult; Aged; Antidepressive Agents; Female; Humans; Male; Middle Aged; Movement Disorders; Pharmacovigilance; Selective Serotonin Reuptake Inhibitors; Sertraline
PubMed: 32546134
DOI: 10.1186/s12888-020-02711-z -
Journal of Thoracic Oncology : Official... Dec 2021Targeted therapies have transformed treatment of driver-mutated metastatic NSCLC. We compared cardiovascular adverse events between and within targeted therapy classes.
INTRODUCTION
Targeted therapies have transformed treatment of driver-mutated metastatic NSCLC. We compared cardiovascular adverse events between and within targeted therapy classes.
METHODS
We used WHO pharmacovigilance database VigiBase to compare odds of heart failure, conduction disease, QT prolongation, supraventricular tachycardia (SVT), and ventricular arrhythmias between inhibitors of EGFR (erlotinib, gefitinib, afatinib, osimertinib), BRAF (dabrafenib), MEK (trametinib), and ALK and ROS1 (alectinib, brigatinib, ceritinib, crizotinib, lorlatinib).
RESULTS
Of 98,765 adverse reactions reported with NSCLC targeted therapies, 1783 (1.8%) were arrhythmias and 1146 (1.2%) were heart failure. ALK and ROS1 inhibitors were associated with increased odds of conduction disease (reporting OR [ROR] = 12.95, 99% confidence interval [CI]: 10.14-16.55) and QT prolongation (ROR = 5.16, 99% CI: 3.92-6.81) relative to BRAF and EGFR inhibitors. Among ALK and ROS1 inhibitors, crizotinib had highest odds of conduction disease (ROR = 1.75, 99% CI: 1.30-2.36) and QT prolongation (ROR = 1.91, 99% CI: 1.22-3.00). Dabrafenib (ROR = 2.24, 99% CI: 1.86-2.70) and trametinib (ROR = 2.44, 99% CI: 2.03-2.92) had higher odds of heart failure than other targeted therapies. Osimertinib was strongly associated with QT prolongation (ROR = 6.13, 99% CI: 4.43-8.48), heart failure (ROR = 3.64, 99% CI: 2.94-4.50), and SVT (ROR = 1.90, 99% CI: 1.26-2.86) relative to other targeted therapies.
CONCLUSIONS
ALK and ROS1 inhibitors are associated with higher odds of conduction disease and QT prolongation than other targeted therapies. Osimertinib is strongly associated with QT prolongation, SVT, and heart failure relative to other EGFR inhibitors and targeted therapies. Monitoring for heart failure and arrhythmias should be considered with NSCLC targeted therapies, especially osimertinib.
Topics: Cardiotoxicity; Humans; Lung Neoplasms; Pharmacovigilance; Protein Kinase Inhibitors; Protein-Tyrosine Kinases; Proto-Oncogene Proteins
PubMed: 34418561
DOI: 10.1016/j.jtho.2021.07.030 -
European Journal of Heart Failure Oct 2021This study aimed to estimate the incidence of cardiac immune-related adverse events (irAEs) in patients treated with immune checkpoint inhibitors (ICIs). (Meta-Analysis)
Meta-Analysis
AIMS
This study aimed to estimate the incidence of cardiac immune-related adverse events (irAEs) in patients treated with immune checkpoint inhibitors (ICIs).
METHODS AND RESULTS
First, we performed an ICI pharmacovigilance analysis, finding 4.2% of cardiac disorders, including myocarditis, for anti-CTLA-4, anti-PD-1, and anti-PD-L1 therapies. Patients treated with anti-PD-1 antibodies presented a greater number of cardiac adverse events (AEs) than those treated with anti-CTLA-4 (69.4% vs. 20%). Then, we analysed the incidence and characteristics of cardiac irAEs in 1265 papers published prior to 31 August 2020. Of the 4751 patients studied, 1.3% presented cardiac irAEs, with myocarditis being the most frequent (50.8%); 15 patients died (24.6%) due to cardiac irAEs. Finally, we conducted a meta-analysis to determine cardiac irAEs in randomized clinical trials, identified through a systematic search from the ClinicalTrials.gov database, finding an incidence of 3.1% for ICI monotherapies, 5.8% for dual ICI therapies, 3.7% (irAEs/AEs) for ICIs plus chemotherapy, and cardiac AEs were reported in 2.5% of patients treated solely with chemotherapy.
CONCLUSIONS
Our study provides precise data for the incidence of cardiac irAEs among patients using ICIs, where despite its low incidence, the high rate of mortality is an important issue to consider. ICIs induce mainly myocarditis at the first doses, and dual therapies seem to provoke higher rates of cardiac irAEs than monotherapies or ICIs plus chemotherapy.
Topics: Cardiotoxicity; Databases, Factual; Heart Failure; Humans; Immune Checkpoint Inhibitors; Neoplasms; Pharmacovigilance
PubMed: 34196077
DOI: 10.1002/ejhf.2289 -
Frontiers in Public Health 2022Semaglutide was approved for treatment of type 2 diabetes mellitus (T2DM) and chronic weight management in obesity or overweight adults. However, real-world data...
BACKGROUND
Semaglutide was approved for treatment of type 2 diabetes mellitus (T2DM) and chronic weight management in obesity or overweight adults. However, real-world data regarding its long-term gastrointestinal safety and tolerability in large sample population are incomplete. We evaluated semaglutide-associated gastrointestinal safety signals by data mining of the FDA pharmacovigilance database.
METHODS
Reporting odds ratio (ROR) was employed to quantify the signals of semaglutide-related gastrointestinal adverse events (AEs) from 2018 to 2022. Serious and non-serious cases were compared by Mann-Whitney test or Chi-squared (χ) test, and signals were prioritized using a rating scale.
RESULTS
We identified 5,442 cases of semaglutide-associated gastrointestinal AEs, with 45 signals detected, ranging from a ROR of 1.01 (hypoaesthesia oral) to 42.03 (eructation), among which 17 AEs were identified as new and unexpected signals. Patient age ( < 0.001) and body weight ( = 0.006) rather than sex ( = 0.251) might be associated with an increased risk of gastrointestinal AEs severity. Notably, the association between semaglutide and gastrointestinal disorders remained when stratified by age, body weight, sex and reporter type. One strong, 22 moderate and 22 weak clinical priority signals were defined. The median time-to-onset (TTO) for strong clinical priority signal was 23 days, while for moderate and weak, they were 6 and 7 days, respectively. All of the disproportionality signals had early failure type features, suggesting that the risk of gastrointestinal AEs occurrence gradually decreased over time.
CONCLUSION
Our study provided a deeper and broader understanding of semaglutide's gastrointestinal safety profiles, which would help healthcare professionals to mitigate the risk of gastrointestinal AEs in clinical practice.
Topics: Adult; Humans; Pharmacovigilance; Adverse Drug Reaction Reporting Systems; Diabetes Mellitus, Type 2; Drug-Related Side Effects and Adverse Reactions; Body Weight
PubMed: 36339230
DOI: 10.3389/fpubh.2022.996179 -
International Journal of Cancer Feb 2023Immune checkpoint inhibitors (ICIs) combined with the anti-angiogenesis drug bevacizumab is one of the future directions of immunotherapy. However, the potential adverse...
Immune checkpoint inhibitors (ICIs) combined with the anti-angiogenesis drug bevacizumab is one of the future directions of immunotherapy. However, the potential adverse drug reactions (ADRs) caused by combination therapy remain unclear. Current research on ADRs of combination therapy in cancer patients is extremely limited. Our study aims to help determine the safety of combination therapy. We downloaded the ADR reports on combination therapy, from the first quarter of 2012 to the fourth quarter of 2021, from the FDA adverse event reporting system (FAERS) database and conducted a large-scale retrospective study. The ADR signals were monitored by reporting odds ratio (ROR) and analyzing the risk of different ADRs in patients with Pan-cancer. A total of 2094 cases were selected, after excluding duplicate data and the use of chemotherapy drugs. We evaluated the risk of ADR in Pan-cancer patients. Combination therapy was an independent risk factor for adverse drug reactions associated with interstitial lung disease (OR: 8.62; 95% CI: 6.14-12.10, P < .0001), hypertension (OR: 1.35; 95% CI: 1.11-1.65, P < .01) and gastrointestinal bleeding (OR: 3.16; 95% CI: 2.21-4.51, P < .0001). A subgroup analysis revealed that the risk of endocrine system-related ADRs was elevated in patients receiving different combination therapies or with certain tumor types. We retrospectively studied the ADR of combination therapy in Pan-cancer patients and analyzed the distribution characteristics of ADR from the perspectives of treatment strategy and cancer types to provide recommendations for the individualized management of patients receiving combination therapy.
Topics: Humans; Pharmacovigilance; Adverse Drug Reaction Reporting Systems; Bevacizumab; Immune Checkpoint Inhibitors; Retrospective Studies; Drug-Related Side Effects and Adverse Reactions; Neoplasms
PubMed: 36274626
DOI: 10.1002/ijc.34332 -
Drug Safety May 2022Pharmacovigilance improves patient safety by detecting and preventing adverse drug events. However, challenges exist that limit adverse drug event detection, resulting... (Review)
Review
Pharmacovigilance improves patient safety by detecting and preventing adverse drug events. However, challenges exist that limit adverse drug event detection, resulting in many adverse drug events being underreported or inaccurately reported. One challenge includes having access to large data sets from various sources including electronic health records and wearable medical devices. Artificial intelligence, including machine learning methods, such as natural language processing and deep learning, can detect and extract information about adverse drug events, thus automating the pharmacovigilance process and improving the surveillance of known and documented adverse drug events. In addition, with the increased demand for telehealth services, for managing both acute and chronic diseases, artificial intelligence methods can play a role in detecting and preventing adverse drug events. In this review, we discuss two use cases of how artificial intelligence methods may be useful to improve the quality of pharmacovigilance and the role of artificial intelligence in telehealth practices.
Topics: Adverse Drug Reaction Reporting Systems; Artificial Intelligence; Drug-Related Side Effects and Adverse Reactions; Humans; Natural Language Processing; Pharmacovigilance; Telemedicine
PubMed: 35579810
DOI: 10.1007/s40264-022-01172-5 -
Drug Safety May 2022With the rapid development of artificial intelligence (AI) technologies, and the large amount of pharmacovigilance-related data stored in an electronic manner,... (Review)
Review
With the rapid development of artificial intelligence (AI) technologies, and the large amount of pharmacovigilance-related data stored in an electronic manner, data-driven automatic methods need to be urgently applied to all aspects of pharmacovigilance to assist healthcare professionals. However, the quantity and quality of data directly affect the performance of AI, and there are particular challenges to implementing AI in limited-resource settings. Analyzing challenges and solutions for AI-based pharmacovigilance in resource-limited settings can improve pharmacovigilance frameworks and capabilities in these settings. In this review, we summarize the challenges into four categories: establishing a database for an AI-based pharmacovigilance system, lack of human resources, weak AI technology and insufficient government support. This study also discusses possible solutions and future perspectives on AI-based pharmacovigilance in resource-limited settings.
Topics: Artificial Intelligence; Databases, Factual; Health Personnel; Humans; Pharmacovigilance; Technology
PubMed: 35579814
DOI: 10.1007/s40264-022-01170-7 -
Drug Safety Dec 2022Evidence is lacking on withdrawal syndrome related to individual antidepressants and relevant risk factors for severe reactions.
INTRODUCTION
Evidence is lacking on withdrawal syndrome related to individual antidepressants and relevant risk factors for severe reactions.
OBJECTIVE
To ascertain whether antidepressants are associated with an increased reporting of withdrawal syndrome as compared with other medications, and to investigate risk factors for severe reactions.
METHODS
This is a case/non-case pharmacovigilance study, based on the VigiBase, the WHO global database of individual case safety reports of suspected adverse drug reactions. We performed a disproportionality analysis of reports of antidepressant-related withdrawal syndrome (calculating reporting odds ratio [ROR] and Bayesian information component [IC]). We compared antidepressants to all other drugs, to buprenorphine (positive control), and to each other within each class of antidepressants (selective serotonin reuptake inhibitors [SSRIs], tricyclics and other antidepressants). Antidepressants with significant disproportionate reporting were ranked in terms of clinical priority. Serious versus non-serious reactions were compared.
RESULTS
There were 31,688 reports of antidepressant-related withdrawal syndrome were found. A disproportionate reporting was detected for 23 antidepressants. The estimated ROR for antidepressants altogether, compared to all other drugs, was 14.26 (95% CI 14.08-14.45), 17.01 for other antidepressants (95% CI 16.73-17.29), 13.65 for SSRIs (95% CI 13.41-13.90) and 2.8 for tricyclics (95% CI 2.59-3.02). Based on clinical priority ranking, the strongest disproportionate reporting was found for paroxetine, duloxetine, venlafaxine and desvenlafaxine, being comparable to buprenorphine. Withdrawal syndrome was reported as severe more often in males, adolescents, persons in polypharmacy, and with a longer antidepressant treatment duration (p < 0.05).
CONCLUSIONS
Antidepressants are associated with an increased reporting of withdrawal syndrome compared with other drug classes. When prescribing and discontinuing antidepressants, clinicians should be aware of the potentially different proclivity of withdrawal syndrome across individual antidepressants, and the liability to experience more severe withdrawal symptoms in relation to specific patient characteristics.
Topics: Male; Adolescent; Humans; Pharmacovigilance; Bayes Theorem; Antidepressive Agents; Selective Serotonin Reuptake Inhibitors; Substance Withdrawal Syndrome; World Health Organization; Buprenorphine
PubMed: 36400895
DOI: 10.1007/s40264-022-01246-4 -
Sultan Qaboos University Medical Journal May 2021
Topics: Drug-Related Side Effects and Adverse Reactions; Humans; Oman; Pharmacovigilance
PubMed: 34221460
DOI: 10.18295/squmj.2021.21.02.001