Reports Of Adverse Drug Reactions Research Articles

The temporal association between adverse drug reactions and antirheumatic drugs utilisation in Western Australia: a retrospective study from real-world data (1995-2015).

Adverse drug reactions (ADRs) can result in morbidity, mortality, and higher healthcare costs. Given the limited information available on ADRs associated with antirheumatic medications, this study aims to analyse and compare ADR reporting for these drugs in the pharmacovigilance datasets of Western Australia (WA) and the United States (US). Therapeutic Goods Administration provided WA pharmacovigilance data of selected antirheumatic drugs to from 1995 to 2015. The proportional reporting ratio (PRR) for WA case reports was compared to corresponding USA pharmacovigilance data by assessing the disproportionality of each ADR. clinically significant or true ADRs were determined using the Evans 2001 criteria (n > 2, chi-square > 4, PRR > 2). A total of 232 reports were found in WA, mostly on sixty-nine women aged 45 to 69. Methotrexate, leflunomide, azathioprine, sulfasalazine, and infliximab had the highest reported ADRs, related to gastrointestinal disorders. Patients who used biological agents in WA had 2.7 times the likelihood of reporting true ADRs compared to conventional antirheumatic drugs. The ADR rates in the two datasets were comparable over the study period. The PRR values of ADRs were consistent between WA and US databases. Methotrexate and infliximab use were commonly associated with ADR reports in WA females, with incidence rates comparable to the US; while patients using biological agents were more likely to report true ADRs than those on conventional antirheumatic drugs in WA.

Adverse reactions of piperacillin: A literature review of case reports.

This study aimed to summarize case reports of adverse drug reactions (ADRs) caused by piperacillin and explore their effects on human organs in real-world settings. Case reports of piperacillin ADRs were collected by searching databases such as PubMed, Embase, Web of Science, CNKI, WanFang, and VIP from inception to December 2022. A total of 170 patients were ultimately included. The results revealed that ADRs caused by piperacillin were primarily associated with the entire body, followed by the blood system, skin and soft tissues, and the nervous system. The most frequently reported cases included anaphylactic shock, drug fever, rash, and thrombocytopenia. The most severe ADRs were identified as anaphylactic shock and bullous epidermal necrolysis. Furthermore, a comparison was made between systemic adverse reactions caused by piperacillin as a single drug and two composite preparations of piperacillin/β-lactamase inhibitor. ADRs not mentioned in the instructions included convulsions or hallucinations and Kounis syndrome (KS). This review suggests that the most severe ADRs associated with piperacillin are toxic epidermal necrolysis and anaphylactic shock. Rare ADRs caused by piperacillin, such as myoclonic jerks, hallucinations, and KS, were identified. The most common symptom with domestic preparations of piperacillin/sulbactam and piperacillin sodium was dyspnea.

Exploring Adverse Drug Reactions in Psychotropic Medications: A Retrospective Analysis of Portuguese Pharmacovigilance Data.

Psychotropic drugs (PDs) include anxiolytics, sedatives and hypnotics, antidepressants, and antipsychotics, and they are available as medicines with different safety profiles. Given Portugal's high anxiolytic consumption and the rising prevalence of mental disorders, safety monitoring is crucial. This study aimed to analyze the individual case safety reports (ICSR) of suspected adverse drug reactions (ADRs) related to PDs, obtained through spontaneous reporting, and recorded in the Portuguese National Pharmacovigilance System between January 2017 and December 2021. This observational and retrospective study analyzed the ICSRs of suspected ADRs to PDs. Most reports pertained to female individuals (67.78%) between 18 and 64 years of age (63.71%). The pharmaceutical industry was the primary source of these reports (62.16%). Antidepressants were responsible for most ICSRs (61.90%). At least one serious ADR was recorded in 58.44% of the reports, and 43.84% of ADRs evolved into "cure". The most-observed ADRs were nausea (10.92%), dizziness (10.70%), and off-label use (10.30%). In the causality assessment, 45.49% of ADRs were classified as "possible", and only 4.96% were classified as "definitive". The current analysis helps to strengthen the safety evidence for PDs. In the future, some measures could be implemented to improve the use of and/or access to PDs, as well as to reinforce the rate of suspected ADR reports within the community, contributing to the safety data available.

Developing an AI-based prediction model for anaphylactic shock from injection drugs using Japanese real-world data and chemical structure-based analysis.

This study aims to develop an AI-based prediction model for injection drugs that cause anaphylactic shock using Japanese Real-World Data (JADER database) and chemical structure-based analysis. Data sourced from the JADER database included adverse drug reaction reports from April 2004 to December 2020. Only drugs with an adverse reaction named "anaphylactic shock" were selected for analysis. For model building, various models were constructed to predict anaphylactic shock-inducing drugs, such as logistic regression, LASSO, XGBoost, RF, SVM, and NNW. These models used chemical properties and structural similarities as feature variables. Dimension reduction was applied using principal component analysis. The dataset was split into training (80%) and validation (20%) sets. Six different models were trained and optimized through fivefold cross-validation. From April 2004 to December 2020, 947 drugs with the adverse reaction name "anaphylactic shock" were extracted from the JADER database. 320 drugs were excluded due to analytical challenges, and another 400 were removed due to their administration route. 227 drugs were finalized as target medicines. For model validation, the performance of each model was evaluated based on metrics like AUCs of ROC curve, sensitivity, and specificity. Additionally, two ensemble models, constructed from the six models were assessed using bootstrap sampling. Interestingly, it was identified that mepivacaine structural similarity had the highest importance in the final model. The study successfully developed an AI-based prediction model for anaphylactic shock inducing-injection drugs. The model would offer potential for drug safety evaluation and anaphylactic shock risk assessment.

Analysis and Reporting of Adverse Drug Reactions of Cosmetics at a Tertiary Care Hospital.

Background and objectives Cosmetovigilance is a term used for the activities related to the collection, evaluation, and monitoring of spontaneous reports of undesirable events observed during or after normal or reasonably foreseeable use of a cosmetic product. It is now considered a part of the public health system to determine the toxicity of cosmetic products. India has a pharmacovigilance system that monitors adverse drug reactions. Adverse effects due to the use of cosmetic products are undernumbered and a rigorous vigilant system is necessary to check the unmet needs of our country. Hence keeping the above in view, the study was conducted. Material and methods Patients of any gender, aged above 18 years, reporting adverse reactions to cosmetics at the study site were included in the study. The adverse reactions to cosmetics were noted. The causality of the observed adverse cosmetic reactions (ACRs) wasdone by the European Cosmetic, Toiletry and Perfumery Association (COLIPA) and Product Lifecycle Management (PLM) methods. Results A total of 120 patients were included in the study. The cosmetic products used by the patients were mainly face care products (n=144) followed by make-up care products (n=126). A total of 121 types of ACRs were reported. The majority of the ACRs were caused by products involved in facial care (62; 51.2%) followed by personal care products (20; 16.5%). In the causality assessment of the ACRs using the COLIPA method, 49.4% of patients were categorized as likely, and using the PLM method, 59% of the events were categorized as probable. Conclusion Most of the ACRs were caused by face care products and acne was reported as the most frequently occurring ACR. Awareness programs regarding the reporting of ACRs should be encouraged among cosmetic users and stakeholders.

Hemorrhage induced by antithrombotic agents: new insights from a real-world pharmacovigilance study

ABSTRACT Background Hemorrhage represents the most common and serious side effect of antithrombotic agents. Many studies have compared the risk of bleeding between different antithrombotic agents, but analysis of time-to-onset for hemorrhage induced by these drugs is yet sparse. Methods We conducted a retrospective study based on the adverse drug reaction reports on antithrombotic agents collected by the Henan Adverse Drug Reaction Monitoring Center. We assessed the reporting odds ratio to determine the disproportionate reporting signals for bleeding and the Weibull shape parameter was used to evaluate the time-to-onset data. Results In the signal detection, crude low molecular weight heparin-hemorrhage was found as a positive signal. The hemorrhage for most antithrombotic agents was random failure profiles. In particular, the hazard of hemorrhage decreased over time for warfarin and clopidogrel and increased for alteplase, nadroparin, and dipyridamole. Conclusion We found that the risk of bleeding in patients taking Crude low molecular weight heparins was significantly higher compared to other antithrombotic agents, but with a small magnificence, which may be attributed to the severely irrational use of this medication under improper management. Statistics in days, results showed that the risk of bleeding decreased over time for warfarin and clopidogrel and increased for alteplase, nadroparin, and dipyridamole.

Safety of Dual Orexin Receptor Antagonist Daridorexant: A Disproportionality Analysis of Publicly Available FAERS Data.

Daridorexant (dari), as the first dual orexin receptor antagonist (DORA) marketed in Europe, offers a novel therapeutic approach to insomnia. However, data regarding its real-world safety are scarce. Thus, this study was aimed at assessing its safety profile using a large-scale pharmacovigilance database. Dari-related adverse drug reaction (ADR) reports from the Food and Drug Administration Adverse Event Reporting System were scrutinized, and ADRs were selected using reporting odds ratio (ROR) as a measure of disproportionality. Frequencies of events related to dari were compared to all other drugs (reference group, RG1) and only to other DORAs (RG2). Only significant disproportionalities to both RGs were evaluated in-depth. A total of 845 dari-related reports were selected; nightmares (n = 146; dari vs. RG1: ROR = 113.74; 95%CI [95.13, 136]; dari vs. RG2: ROR = 2.35; 95 CI% [1.93, 2.85]), depression (n = 22; dari vs. RG1: 2.13; [1.39, 3.25]; dari vs. RG2: ROR = 2.31; 95 CI% [1.45, 3.67]), and hangover (n = 20; dari vs. RG1: ROR = 127.92; 95 CI% [81.98, 199.62]; and dari vs. RG2: 3.38; [2.04, 5.61]) were considered as safety signals. These data provide valuable insights into the real-world safety profile of daridorexant, supporting the existence of safety signals related to nightmares, depression, and hangovers.

Educational interventions in pharmacovigilance to improve the knowledge, attitude and the report of adverse drug reactions in healthcare professionals: Systematic Review andMeta-analysis.

Underreporting of adverse drug reactions (ADRs) limits and delays the detection of signs. The aim of this systematic review with meta-analyses was to synthesize the evidence of educational interventions (EIs) efficacy in health professionals to increase ADR reporting, attitudes, and knowledge of pharmacovigilance. A systematic literature review was carried out to identify randomized clinical trials evaluating the efficacy of EI in pharmacovigilance in health professionals to improve ADR reports, knowledge, and attitude toward pharmacovigilance. ADR reports were pooled by calculating Odds Ratio (OR) with a 95% confidence interval (95%CI), while pharmacovigilance knowledge and attitude were pooled by calculating a mean difference (MD) with 95%CI. In addition, the subanalysis was performed by EI type. Meta-analysis was performed with RevMan 5.4 software. PROSPERO registry CRD42021254270. Eight hundred seventy-five articles were identified as potentially relevant, and 11 were included in the systematic review. Metanalysis showed that EI increased ADR reporting in comparison with control group (OR = 4.74, [95%CI, 2.46 to 9.12], I2 = 93%, 5 studies). In subgroup analysis, the workshops (OR = 6.26, [95%CI, 4.03 to 9.73], I2 = 57%, 3 studies) increased ADR reporting more than telephone-based interventions (OR = 2.59, [95%CI, 0.77 to 8.73], I2 = 29%, 2 studies) or combined interventions (OR = 5.14, [95%CI, 0.97 to 27.26], I2 = 93%, 3 studies). No difference was observed in pharmacovigilance knowledge. However, the subanalysis revealed that workshops increase pharmacovigilance knowledge (SMD = 1.85 [95%CI, 1.44 to 2.27], 1 study). Only one study evaluated ADR reporting attitude among participants and showed a positive effect after the intervention. EI improves ADR reports and increases pharmacovigilance knowledge. Workshops are the most effective EI to increase ADR reporting.

Development and Validation of a Questionnaire for the Assessment of the Factors that Influence ADR Reporting by Pharmacists

Drug safety is a significant concern in many countries, as side effects (AE) and adverse drug reactions (ADR) have caused many deaths worldwide. One of the reasons is the low contribution of pharmacists in spontaneously reporting AE/ADR. This study aims to develop a questionnaire to assess factors that correlate with spontaneous reporting by pharmacists. A questionnaire pilot was tested on 30 pharmacist respondents who worked in type C hospitals in Surabaya and Sidoarjo, Indonesia. Respondents' responses were then evaluated for face validity, construct validity, and reliability. The results showed that the face validity of the questionnaire was ideal. Then, the results of the construct validity of the knowledge section using point biserial correlation showed that two items were invalid because the r-value was smaller than the r-table (r = 0.361). Then, construct validity uses the factor analysis method for psychological, environmental, and practical variables by paying attention to the Kaiser-Mayer-Olkin Measure (KMO) value, which must be greater than 0.5, the significance of the Bartlett test, which must be less than 0.05 and the factor loading value which conditions must be greater than 0.5. As a result, most of the psychological, environmental, and practical variables show valid and reliable results. However, further consideration should be given to eliminating some items that do not meet the requirements. In conclusion, this validated questionnaire can be used to obtain additional information regarding factors influencing spontaneous reporting by pharmacists.

Cardiovascular Adverse Drug Reactions of Anti-Calcitonin Gene-Related Peptide Monoclonal Antibodies for Migraine Prevention: An Analysis from the European Spontaneous Adverse Event Reporting System.

Anti-calcitonin gene-related peptide monoclonal antibodies (anti-CGRP-mAbs) have recently been approved for the prevention of migraine, and their safety profile is not fully characterized. The aim of this study was to evaluate the adverse drug reactions (ADRs) of anti-CGRP-mAbs through the analysis of individual case safety reports (ICSRs) collected in the EudraVigilance (EV) database, with a specific focus on cardiovascular (CV) ADRs. Data on ICSRs recorded between July 2018 and December 2022 in the EV database, involving one of the anti-CGRP-mAbs for migraine prevention-erenumab (ERE), galcanezumab (GMB), fremanezumab (FMB), and eptinezumab (EPT)-were included in the analysis. All ICSRs reporting at least one CV ADR, as identified within the MedDRA® System Organ Classes (SOCs) "cardiac disorders" or "vascular disorders," were selected for the analysis. The frequency of disproportionate reporting was expressed as the reporting odds ratio (ROR) with its 95% confidence interval (CI), to evaluate the frequency of reporting of CV ADRs for each anti-CGRP-mAb compared with all other monoclonal antibodies (mAbs). A case-by-case analysis was conducted paying particular attention to serious CV ADR reports, focusing on the type of seriousness, age group, sex, and concomitant drugs. A total of 9441 ICSRs were recorded in the EV database from 2018 to 2022, of which more than half were related to ERE (58.9%), followed by GMB (21.4%), FMB (19.0%), and EPT (0.7%). CV ICSRs accounted for 1205 cases (12.8%), with a total of 1599 CV ADRs. The CV ICSRs were mainly related to female patients (82.6%) aged 18-64 years (73.4%). Of the reported CV ADRs, 67.5% were considered serious. Among the total number of ICSRs related to each anti-CGRP-mAb, those associated with FMB had a higher percentage of CV ADRs (n = 253; 14.1%), followed by ERE (n = 707; 12.7%), EPT (n = 8; 12.7%), and GMB (n = 237; 11.7%). A higher frequency of reporting hypertension was shown for ERE (ROR = 1.45; 95% CI = 1.14-1.85). Pallor was mainly observed with FMB (5.00; 1.68-14.89), as well as deep vein thrombosis (3.86; 1.57-9.51), hot flush (2.16; 1.43-3.25), and palpitations (1.48; 1.05-2.08). Atrial fibrillation (2.36; 1.02-5.46) and myocardial infarction (2.21; 1.37-3.58) were mostly reported for GMB. The analysis of anti-CGRP-related CV ADRs was consistent with the information reported in the literature. However, hypertension with ERE, atrial fibrillation and myocardial infarction with GMB, as well as pallor, deep vein thrombosis, hot flush, and palpitations with FMB were not reported in the Summary of Product Characteristics (SmPCs). Considering this, more post-marketing analyses are needed to improve knowledge on the CV safety profiles of anti-CGRP-mAbs, especially for the last approved medication, EPT.

Sodium aescinate induces renal toxicity by promoting Nrf2/GPX4-mediated ferroptosis

Sodium aescinate (SA) is extracted from Aesculus wilsonii Rehd seeds and was first marketed as a medicament in German. With the wide application of SA in clinical practice, reports of adverse drug reactions and adverse events have gradually increased, including renal impairment. However, the pathogenic mechanisms of SA have not yet been fully elucidated. The toxic effects and underlying mechanisms of SA were explored in this study. Our data showed that SA significantly elevated the levels of blood urea nitrogen (BUN), serum creatinine (Scr) and Kidney injury molecule 1 (Kim-1), accompanied by pathologically significant changes in renal tissue. SA induced NRK-52E cell death and disrupted the integrity of the cell membrane. Moreover, SA caused significant reductions in FTH, Nrf2, xCT, GPX4, and FSP1 levels, but increased TFR1 and ACSL4 levels. SA decreased glutathione peroxidase (GPx), glutathione (GSH) and cysteine (Cys) levels, but improved Fe2+, malondialdehyde (MDA), reactive oxygen species (ROS) and lipid peroxidation levels, ultimately leading to the induction of ferroptosis. Importantly, inhibition of ferroptosis or activation of the Nrf2/GPX4 pathway prevented SA-induced nephrotoxicity. These findings indicated that SA induced oxidative damage and ferroptosis-mediated kidney injury by suppressing the Nrf2/GPX4 axis activity.

An artificial intelligence algorithm for co‐clustering to help in pharmacovigilance before and during the COVID‐19 pandemic

AbstractAimsMonitoring drug safety in real‐world settings is the primary aim of pharmacovigilance. Frequent adverse drug reactions (ADRs) are usually identified during drug development. Rare ones are mostly characterized through post‐marketing scrutiny, increasingly with the use of data mining and disproportionality approaches, which lead to new drug safety signals. Nonetheless, waves of excessive numbers of reports, often stirred up by social media, may overwhelm and distort this process, as observed recently with levothyroxine or COVID‐19 vaccines. As human resources become rarer in the field of pharmacovigilance, we aimed to evaluate the performance of an unsupervised co‐clustering method to help the monitoring of drug safety.MethodsA dynamic latent block model (dLBM), based on a time‐dependent co‐clustering generative method, was used to summarize all regional ADR reports (n = 45 269) issued between 1 January 2012 and 28 February 2022. After analysis of their intra and extra interrelationships, all reports were grouped into different cluster types (time, drug, ADR).ResultsOur model clustered all reports in 10 time, 10 ADR and 9 drug collections. Based on such clustering, three prominent societal problems were detected, subsequent to public health concerns about drug safety, including a prominent media hype about the perceived safety of COVID‐19 vaccines. The dLBM also highlighted some specific drug–ADR relationships, such as the association between antiplatelets, anticoagulants and bleeding.ConclusionsCo‐clustering and dLBM appear as promising tools to explore large pharmacovigilance databases. They allow, ‘unsupervisedly’, the detection, exploration and strengthening of safety signals, facilitating the analysis of massive upsurges of reports.

TIRPnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network

Ethnopharmacological relevanceTraditional Chinese medicine (TCM) has a history of over 3000 years of medical practice. Due to the complex ingredients and unclear pharmacological mechanism of TCM, it is very difficult to predict its risks. With the increase in the number and severity of spontaneous reports of adverse drug reactions (ADRs) of TCM, its safety has received widespread attention. Aim of the studyIn this study, we proposed a framework based on deep learning to predict the probability of adverse reactions caused by TCM ingredients and validated the model using real-world data. Materials and methodsThe spontaneous reporting data from Jiangsu Province of China was selected as the research data, which included 72,561 ADR reports of TCMs. All the ingredients of these TCMs were collected from the medical website and correlated with the corresponding ADRs. Then, a risk prediction model was constructed based on a deep neural network (DNN), named TIRPnet. Based on one-hot encoded data, our model achieved the optimal performance by fine-tuning some hyperparameters. The ten most commonly used TCM ingredients and their ADRs were collected as the test set to evaluate their performance as objective criteria. ResultsTIRPnet was constructed as a 7-layer DNN. The experimental results showed that TIRPnet performs excellently in all indicators, with a sensitivity of 0.950, specificity of 0.995, accuracy of 0.994, precision of 0.708, and F1 of 0.811. ConclusionsThe proposed TIRPnet owns the ability to predict the ADRs of a single TCM ingredient by learning a large number of TCM-related spontaneous reports, which can help doctors design safe prescriptions and provide technical support for the pharmacovigilance of TCM.

Chirurgie bariatrique et médicaments : revue de la littérature et analyse des effets indésirables dans la banque nationale de pharmacovigilance

Bariatric surgery is the only treatment for severe obesity (BMI>35kg/m2) currently recognized as effective both in achieving tangible and lasting weight loss, and in improving obesity-related comorbidities such as type 2 diabetes, hypertension, and cardiovascular complications. Bariatric surgery, like any other surgery of the digestive tract, can have an impact on nutrient absorption, as well as on drug absorption. The literature on drug management in bariatric surgery patients concerned mainly of case reports and retrospective studies involving a small number of patients. No official guidelines are available. We conducted a literature search on the consequences of bariatric surgery in terms of drug bioavailability and/or effect. The Medline® (PubMed) database was searched using the following keywords: "bariatric surgery", "bioavailability", "gastric bypass", and "obesity". We completed this review with an analysis of reports of adverse drug reactions (ADRs) in post-bariatric surgery patients for obesity registered in the National pharmacovigilance database (PVDB). We selected all cases with the mention of "bariatric surgery and/or gastrectomy" as "medical history". After reading the cases, we excluded those in which the patient had undergone surgery for an indication other than obesity, where the route of administration was other than oral, and cases in which ADRs resulted from voluntary overdose, attempted suicide, allergy, switch to Levothyrox® new formulation, meningioma under progestative drugs, inefficacy related to generic substitution and medication error. The literature search identified mainly "case report" about the impact of bariatric surgery on so-called "narrow therapeutic window" drugs. We identified 66 informative cases out of a total of 565 cases selected (11%) in the PVDB. Nevertheless, the information does not allow a clear relationship between the occurrence of the ADR and the influence of bariatric surgery. There is a lack of official information and/or recommendations on medication use in subjects who have undergone bariatric surgery. Apart from under-reporting, ADRs reports remain largely uninformative. Health professional and patients would be awareness for improving, quantitatively and qualitatively the reporting of ADRs in this population.

Quantitative Signal Detection for COVID-19 Medicinal Products Based on Retrospective Analysis of Spontaneous Reports from the Russian Pharmacovigilance Database

SCIENTIFIC RELEVANCE. The pandemic of novel coronavirus infection (COVID-19) led to a drastic increase in the use of medicinal products of various therapeutic groups and increased spontaneous reporting of adverse drug reactions (ADRs). Therefore, it is necessary to analyse the reported information to identify potential safety signals.AIM.  This study aimed at systematisation and quantitative analysis of data on the safety of COVID-19 medicinal products from the Russian pharmacovigilance database.MATERIALS AND METHODS. This retrospective analysis included spontaneous ADR reports submitted to the Russian pharmacovigilance database from 1 January 2020 to 31 December 2022. The authors applied disproportionality analysis to generate safety signals.RESULTS. During the stated period, the database website published 873 spontaneous reports on 1,636 ADRs associated with COVID-19 treatment. Most ADRs were associated with favipiravir (493 reports), hydroxychloroquine (87 reports), and olokizumab (85 reports). The most common ADRs included 273 (16.7%) abnormal investigation results, 203 (12.4%) hepatobiliary disorders, and 191 (11.6%) gastrointestinal disorders. The majority of adverse events, 674 (77%) cases, had favourable outcomes. Using frequency-based disproportionality analysis, the authors identified 23 potential safety signals based on disproportionately reported ADRs for azithromycin, dexamethasone, levilimab, lopinavir+ritonavir, molnupiravir, olokizumab, tofacitinib, tocilizumab, umifenovir, and favipiravir.CONCLUSIONS. The new safety signals require additional assessment of ADR reporting forms for causal relationship analysis, validation, prioritisation, and clinical interpretation. The frequency-based method did not identify safety signals for hydroxychloroquine, remdesivir, baricitinib, sarilumab, and anti-COVID-19 human immunoglobulin, but this does not rule out the possibility of detecting new causal relationships.

Medication-overuse headache: A pharmacovigilance study in France

Overusing medication for primary headaches or other medical conditions can lead to dependency and medication-overuse headache (MOH) as an adverse drug reaction (ADR). To analyse reports of ADRs associated with MOH recorded in the French national pharmacovigilance database (FPVD). This retrospective study selected all MOH cases reported in the FPVD from January 2000 to June 2023. A search of the High-Level Group Term "headache" was performed for drugs classified under ATC codes for the musculoskeletal and nervous systems. Specific keywords were searched in report narratives to further reduce their number. Voluntary intoxication reports were excluded. Only MOH cases according to the International Classification of Headache Disorders or with a medical diagnosis of MOH were considered. Among the 2674 reports associated with the HLGT "headache", for 649 ATC drug codes, only 234 reports correspond to MOH, primarily notified by physicians. The median age was 45 years (IQR: 32-56), with 74.4% females and approximately 61.0% having pre-existing primary headaches. In all, 53.4% of the reports were classified as serious. Among patients, 84.2% had an isolated "headache" as the ADR. One drug was suspected in 47.4% of cases, two drugs in 29.1%, and three or more in 23.5%. In total, 473 suspected drugs, corresponding to 104 active ingredients, were involved, including analgesics (63.0%), in particular, acetaminophen-containing drugs, opioids, triptans and ergots, and non-steroidal anti-inflammatory drugs (12.7%). Antiepileptics and psycholeptics were found in 6.6% and 6.1% of cases, respectively. Drug withdrawal was successful in 84.6% of drug-discontinuation cases. Warnings about MOH are mentioned in the summary of product characteristics (SmPCs) for triptans, ergots, and certain acetaminophen-containing drugs, but not other drug classes. Certain drug classes show a high reporting rate of MOH and caution should be exercised when prescribing these drugs. Notably, warnings about MOH must be mentioned in the SmPC of all concerned drug classes.

A retrospective and observational study of the adverse drug reactions reported in a tertiary care hospital

Background: Adverse drug reaction (ADR) is considered a common cause of prolonged hospitalization and death among patients. Pharmacovigilance is essential in the surveillance of adverse drug reactions. The responsibility of a healthcare professional is to report any adverse reaction that occurs with the use of drugs. This helps in providing a database and improving the safety of patients. The aim of the study was to determine the incidence of ADR, assess causality, severity, and preventability of the submitted adverse drug reactions, increase the awareness of preventability of adverse drug reactions in health care professionals by conducting regular workshops on ADR, and document occurrence of a rare ADR. Methods: A retrospective observational study was conducted to assess the ADR reported to the ADR monitoring Centre, for the past 6 years included in the study. The data were entered into Microsoft excel and analyzed using descriptive statistics. Mean and standard deviation were calculated for the categorical data. Drugs were classified according to the class. Reactions were analyzed using scales and presented in descriptive statistics. Results: A total of 95 ADR reports were received and reported. These ADRs were associated with a total of 108 drugs that were prescribed- the occurrence of ADRs dominated among females 60% (57). Antimicrobials were causing the highest number of adverse reactions 21 (19.44%) and antituberculosis drugs and radiocontrast media were associated with the following larger number of the ADRs 19 (17.59%).  Intravenous at 40% was the most common route related to the development of ADR. The most common ADR caused by antimicrobials was rash (9), antitubercular therapy commonly caused hepatitis, and chills and rigors were more common with radiocontrast media. Most of the reactions observed in the patients were moderate reactions at 52.63% with 3.16% fatal ones. Conclusions: In this study, the predominant causative drugs associated with ADR were antimicrobials, antitubercular drugs, and radiocontrast media. The number of ADRs reported though was less there was a wide range of drugs causing ADR that were reported which gave a broader spectrum for analysis. There is a requirement for active monitoring of ADRs to understand the occurrence as well as help in prevention.

Evaluation of a simplified pharmacovigilance tool for general practitioners: 5 years of insight

Spontaneous reporting of adverse drug reactions (ADRs) is the cornerstone of pharmacovigilance. However, major underreporting exists. The main objective of this study was to assess the use of a pharmacovigilance simplified reporting tool (PSRT) by general practitioners (GPs) and, secondarily, to describe the quality of ADR reports during this period. The PSRT was proposed on June 1st, 2015, for the 1290 GPs in the Western Normandy Region. The number and quality of ADRs reported monthly by GPs were prospectively collected from June 1st, 2015, to May 31st, 2020 (Period 2), and compared to those reported during a control period (June 1st, 2010, to May 31st, 2015, Period 1). During all the periods, 920 reports were made by 307 GPs (198 reports in Period 1 and 722 reports in Period 2), with 477 reports (51.8%) using the PSRT. During Period 2, the monthly number of reports was multiplied by 3.5 (p < 0.0001), and the number of GPs was 1.4 compared to that in Period 1 (p = 0.01). Our PSRT showed effectiveness in quantitative and qualitative terms. It must now go further and be integrated into GP software to facilitate ADR reporting nationwide.

The Case for Pre-Emptive Pharmacogenetic Screening in South Africa.

Lack of equitable representation of global genetic diversity has hampered the implementation of genomic medicine in under-represented populations, including those on the African continent. Data from the multi-national Pre-emptive Pharmacogenomic Testing for Preventing Adverse Drug Reactions (PREPARE) study suggest that genotype guidance for prescriptions reduced the incidence of clinically relevant adverse drug reactions (ADRs) by 30%. In this study, hospital dispensary trends from a tertiary South African (SA) hospital (Steve Biko Academic Hospital; SBAH) were compared with the drugs monitored in the PREPARE study. Dispensary data on 29 drugs from the PREPARE study accounted for ~10% of total prescriptions and ~9% of the total expenditure at SBAH. VigiLyze data from the South African Health Products Regulatory Authority were interrogated for local ADRs related to these drugs; 27 were listed as being suspected, concomitant, or interacting in ADR reports. Furthermore, a comparison of pharmacogene allele frequencies between African and European populations was used to frame the potential impact of pre-emptive pharmacogenetic screening in SA. Enumerating the benefit of pre-emptive pharmacogenetic screening in SA will only be possible once we initiate its full application. However, regional genomic diversity, disease burden, and first-line treatment options could be harnessed to target stratified PGx today.

Assessment of Neurologic Safety Profile of Immune Checkpoint Inhibitors: Evaluation of Adverse Drug Reaction Reports.

Immune checkpoint inhibitors (ICIs) used in immunotherapy have revolutionized cancer management. However, ICI therapy can come with serious neurologic risks. The objective of our study is to analyze the occurrence of neurologic events with ICIs. We referred to EudraVigilance (EV) and VigiAccess to evaluate the frequency of individual case safety reports (ICSRs), including neurologic events with ICIs. Data was gathered for a period from the date of ICI's marketing authorization till 30 January 2023. The computational assessment was conducted with the help of reporting odds ratio (ROR) and its 95% confidence interval (CI). Overall, 8181 ICSRs in EV and 15905 ICSRs from VigiAccess were retrieved for neurologic events, with at least one ICI as the suspected drug. The majority of the ICSRs were reported for nivolumab, pembrolizumab, and ipilimumab, whereas frequently reported events were neuropathy peripheral, myasthenia gravis, seizure, Guillain-Barre syndrome, paraesthesia, syncope, encephalopathy, somnolence. Under EV, 92% of ICSRs were reported as serious, 10% included fatal outcomes, and nearly 61% cited patient recovery. Atezolizumab (ROR 1.64, 95% CI 1.75- 1.52), cemiplimab (ROR 1.61, 95% CI 1.98-1.3), and nivolumab (ROR 1.38, 95% CI 1.44-1.31) had a considerable increase in the frequency of ICSR reporting. Cerebrovascular accident, posterior reversible encephalopathy syndrome, tremor, and somnolence were identified as potential signals. ICIs were significantly associated with neurologic risks, which cannot be generalized. A considerable increase in ICSR reporting frequency was observed with atezolizumab, cemiplimab, and nivolumab, while avelumab, pembrolizumab, durvalumab, and cemiplimab were linked with four potential signals. These findings suggest the consideration of a revision of the neurologic safety profile of ICIs. Furthermore, the necessity for additional ad-hoc research is emphasized.