Limitations and obstacles of the spontaneous adverse drugs reactions reporting: Two "challenging" case reports

An exploratory study of knowledge, attitudes, practice and barriers towards adverse drug reaction reporting among healthcare professionals in Malta

BACKGROUND

Understanding knowledge and attitudes of health care professionals (HCPs) towards adverse drug reaction (ADR) reporting can inform educational interventions promoting ADR reporting.

OBJECTIVE

To explore knowledge, attitudes, practice, and barriers of local HCPs towards ADR reporting.

METHODS

Focus groups involving HCPs from different settings were organized to help develop a questionnaire. The questionnaire was validated and disseminated to pharmacists, physicians, dentists and nurses practicing in Malta. A review of ADR reports reported in Malta from 2004 to 2021 was carried out to contextualise questionnaire findings.

RESULTS

Overall, HCPs (n = 374) had good knowledge on pharmacovigilance and a positive attitude towards ADR reporting however nurses were found to be less knowledgeable than physicians, dentists, and pharmacists. The main barrier for not reporting ADRs was difficulty to understand whether an adverse event occurred (n = 187). A total of 2581 ADR reports were reported in Malta. Among HCPs, physicians and dentists reported most ADRs (1060 reports), followed by pharmacists (307 reports) and nurses (257 reports).

CONCLUSION

Further ADR educational and promotional efforts are needed to increase awareness on the importance of quality ADR reporting and increase the number of ADR reports reported by local HCPs.

An innovative method to strengthen evidence for potential drug safety signals using Electronic Health Records

Reports from spontaneous reporting systems (SRS) are hypothesis generating. Additional evidence such as more reports is required to determine whether the generated drug-event associations are in fact safety signals. However, underreporting of adverse drug reactions (ADRs) delays signal detection. Through the use of natural language processing, different sources of real-world data can be used to proactively collect additional evidence for potential safety signals. This study aims to explore the feasibility of using Electronic Health Records (EHRs) to identify additional cases based on initial indications from spontaneous ADR reports, with the goal of strengthening the evidence base for potential safety signals. For two confirmed and two potential signals generated by the SRS of the Netherlands Pharmacovigilance Centre Lareb, targeted searches in the EHR of the Leiden University Medical Centre were performed using a text-mining based tool, CTcue. The search for additional cases was done by constructing and running queries in the structured and free-text fields of the EHRs. We identified at least five additional cases for the confirmed signals and one additional case for each potential safety signal. The majority of the identified cases for the confirmed signals were documented in the EHRs before signal detection by the Dutch Medicines Evaluation Board. The identified cases for the potential signals were reported to Lareb as further evidence for signal detection. Our findings highlight the feasibility of performing targeted searches in the EHR based on an underlying hypothesis to provide further evidence for signal generation.

Accuracy in patient-reported adverse drug reactions and their recognition: a mixed-methods study

BACKGROUND

The causality assessment tool can be utilized to assist patients in identifying adverse drug reactions (ADRs).

AIM

To evaluate the accuracy of the causality assessment tool for patients identifying ADRs compared to assessments made by pharmacists, and to explore how patients recall and recognize symptoms as ADRs.

METHOD

Mixed methods study consisting of self-administered questionnaires (phase 1) and semi-structured, face-to-face interviews (phase 2) with patients who had experienced ADRs in the past year at a tertiary care hospital in Thailand.

RESULTS

Out of 769 questionnaires, 716 were returned and 622 of these were both valid and had at least one ADR (86.8%). Classification of patient-reported symptoms using the causality assessment tool found 12 (1.9%) highly-probable ADRs, 399 (64.1%) probable ADRs, 207 (33.3%) possible ADRs, and 4 (0.6%) that were not classified as ADRs. There was fair agreement between patient-assessed and pharmacist-assessed causality classifications using the Naranjo algorithm (K = 0.268) and the World Health Organization Uppsala Monitoring Centre (WHO-UMC) criteria (K = 0.373). The timing relationship between the occurrence of symptoms and administration of a suspected drug was the most frequently mentioned reason that patients gave for recalling and recognizing suspected ADRs.

CONCLUSION

Promoting the causality assessment tool for use by patients in collaboration with healthcare professionals is likely to enhance patients' ability to correctly identify ADRs and ultimately contribute to increased medication safety.

Gender differences in spontaneous adverse event reports associated with zolpidem in South Korea, 2015-2019

Study objectives: While zolpidem is considered as an example of a gender effect on drug response, there is insufficient evidence to reach a consensus. This study aimed to investigate gender differences in adverse events (AEs) of zolpidem. Methods: We estimated the difference between the reporting odds ratios (RORs) calculated in gender subgroups for the AEs signals detected in data mining using 2015-2019 Korea voluntary adverse drug events reporting system (KAERS) data. Different reporting risk by gender was evaluated by using the log RORs being significantly different by gender at the 5% significance level and the 95% confidence intervals of the gender ROR. Results: A total of 94 AE signals were detected. Among these, 35 signals showed significant disparities by gender at the 5% level or were detected only in one gender. When categorized by similarity of AEs, parasomnia including somnambulism and paroniria, and cardiovascular disorders including coronary thrombosis had higher reporting risks in women. Men were more likely to report cognitive disorders such as delirium, insomnia related disorders, and movement disorders. Among all AEs with gender differences in reporting risk, the difference in somnambulism was the most consistent and substantial. Conclusion: For several AEs associated with zolpidem, gender-based reporting disparities were evident. Notably, women exhibited a higher susbeptibility to somnambulism, potentially serious adverse effects of zolpidem. This underscores the need for further investigation into the underlying factors influencing these gender-specific reporting patterns.

FooDrugs: a comprehensive food-drug interactions database with text documents and transcriptional data

Food-drug interactions (FDIs) occur when a food item alters the pharmacokinetics or pharmacodynamics of a drug. FDIs can be clinically relevant, as they can hamper or enhance the therapeutic effects of a drug and impact both their efficacy and their safety. However, knowledge of FDIs in clinical practice is limited. This is partially due to the lack of resources focused on FDIs. Here, we describe FooDrugs, a database that centralizes FDI knowledge retrieved from two different approaches: a natural processing language pipeline that extracts potential FDIs from scientific documents and clinical trials and a molecular similarity approach based on the comparison of gene expression alterations caused by foods and drugs. FooDrugs database stores a total of 3 430 062 potential FDIs, with 1 108 429 retrieved from scientific documents and 2 321 633 inferred from molecular data. This resource aims to provide researchers and clinicians with a centralized repository for potential FDI information that is free and easy to use. Database URL:  https://zenodo.org/records/8192515 Database DOI:  https://doi.org/10.5281/zenodo.6638469.

Drugs That Interact With Colchicine Via Inhibition of Cytochrome P450 3A4 and P-Glycoprotein: A Signal Detection Analysis Using a Database of Spontaneously Reported Adverse Events (FAERS)

BACKGROUND

Colchicine has a narrow therapeutic index. Its toxicity can be increased due to concomitant exposure to drugs inhibiting its metabolic pathway; these are cytochrome P450 3A4 (CYP3A4) and P-glycoprotein (P-gp).

OBJECTIVE

To examine clinical outcomes associated with colchicine drug interactions using the spontaneous reports of the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS).

METHODS

We conducted a disproportionality analysis using FAERS data from January 2004 through June 2020. The reporting odds ratio (ROR) and observed-to-expected ratio (O/E) with shrinkage for adverse events related to colchicine's toxicity (ie, rhabdomyolysis/myopathy, agranulocytosis, hemorrhage, acute renal failure, hepatic failure, arrhythmias, torsade de pointes/QT prolongation, and cardiac failure) were compared between FAERS reports.

RESULTS

A total of 787 reports included the combined mention of colchicine, an inhibitor of both CYP3A4 and P-gp drug, and an adverse event of interest. Among reports that indicated the severity, 61% mentioned hospitalization and 24% death. A total of 37 ROR and 34 O/E safety signals involving colchicine and a CYP3A4/P-gp inhibitor were identified. The strongest ROR signal was for colchicine + atazanavir and rhabdomyolysis/myopathy (ROR = 35.4, 95% CI: 12.8-97.6), and the strongest O/E signal was for colchicine + atazanavir and agranulocytosis (O/E = 3.79, 95% credibility interval: 3.44-4.03).

CONCLUSION AND RELEVANCE

This study identifies numerous safety signals for colchicine and CYP3A4/P-gp inhibitor drugs. Avoiding the interaction or monitoring for toxicity in patients when co-prescribing colchicine and these agents is highly recommended.

Renal Disorders with Oral Tyrosine Kinase Inhibitors in Metastatic Colorectal Cancer: An Analysis from the FDA Adverse Event Reporting System Database

BACKGROUND

this study assessed the nephrotoxicity of regorafenib (REG) and encorafenib (ENC) in metastatic colorectal cancer (mCRC) through an analysis of reports from the US Food and Drug Administration's Adverse Event Reporting System (FAERS) database.

METHODS

descriptive and disproportional analyses were performed for all reports using ENC and REG as the primary suspect.

RESULTS

A total of 379 reports had at least one renal adverse drug reaction (ADR), and these ADRs were mainly related to REG (93.1%). Potential safety signals for REG included chromaturia (n = 44; ROR = 12.00, CI 95% = 8.92-16.16; IC = 2.36, IC025-IC075 = 2.06-2.66), hydronephrosis (10; 8.70, 4.67-16.19; 1.85, 1.23-2.47), nephrotic syndrome (7; 5.73, 2.73-12.03; 1.47, 0.73-2.21), renal impairment (53; 4.16, 3.17-5.45; 1.39, 1.12-1.66), dysuria (19; 3.06, 1.95-4.81; 1.06, 0.61-1.52), renal failure (38; 1.66, 1.20-2.28; 0.49, 0.17-0.81), and acute kidney injury (AKI) (43; 1.46, 1.08-1.97; 0.37, 0.07-0.67). For ENC, consistent disproportionalities were observed for AKI (n = 11; ROR = 3.79, CI 95% = 2.09-6.90; IC = 1.32, IC025-IC075 = 0.72-1.91) and dysuria (4; 6.50, 2.43-17.39; 1.86, 0.88-2.85).

CONCLUSIONS

these findings highlight some not extensively reported renal ADRs that require further investigations to better characterize the safety profiles of REG and ENC in patients with mCRC.

Adverse drug reactions and their fatal outcomes in clozapine patients in VigiBase: Comparing the top four reporting countries (US, UK, Canada and Australia)

BACKGROUND

Pharmacovigilance findings and box warnings in the clozapine package inserts have marked the history of clozapine.

OBJECTIVE

This is the largest review of clozapine adverse drug reactions (ADRs) and their associated fatal outcomes. Reports to the World Health Organization's global pharmacovigilance database, VigiBase™, were analyzed, extending from clozapine's introduction to December 31, 2022.

METHODS

The analysis focused on the top four reporting countries: United States (US), United Kingdom (UK), Canada and Australia (83 % of fatal outcomes worldwide). Attempts were made to control for population and clozapine prescription in each country.

RESULTS

Clozapine ADRs worldwide accounted for 191,557 reports, with the highest number (53,505) in "blood and lymphatic system disorder". Of the 22,596 fatal outcomes reported in clozapine patients, 9587 were from the US, 6567 from the UK, 3623 from Canada and 1484 from Australia. The top category worldwide in fatal outcomes was nonspecifically labeled "death" with 46 % (range 22-62 %). "Pneumonia" was second with 30 % (range 17-45 %). Agranulocytosis was numerically only the 35th top clozapine ADR associated with fatal outcomes. On average, 2.3 clozapine ADRs were reported per fatal outcome. Infections were associated with 24.2 % of the UK fatal outcomes (9.4 %-11.9 % in the 3 other countries).

CONCLUSIONS

The four countries appeared to report clozapine ADRs in different ways, making comparisons difficult. We estimated higher fatal outcomes in the UK and Canada after controlling for cross-sectional estimations of population and published clozapine use. This last hypothesis is limited by the lack of precise estimation of accumulated clozapine use in each country.

An overview of methodological flaws of real-world studies investigating drug safety in the post-marketing setting

INTRODUCTION

The evaluation of the post-marketing safety profile of drugs is a continuous monitoring process for approved and marketed medicines and it is crucial for detecting new adverse drug reactions. As such, real-world studies are essential to complement pre-marketing evidence with information concerning drug risk-benefit profile and use in wider patient populations and they have a great potential to support post-marketing drug safety evaluations.

AREAS COVERED

A detailed description of the main limitations of real-world data sources (i.e. claims databases, electronic healthcare records, drug/disease registers and spontaneous reporting system databases) and of the main methodological challenges of real-world studies in generating real-world evidence is provided.

EXPERT OPINION

Real-world evidence biases can be ascribed to both the methodological approach and the specific limitations of the different real-world data sources used to carry out the study. As such, it is crucial to characterize the quality of real-world data, by establishing guidelines and best practices for the assessment of data fitness for purpose. On the other hand, it is important that real-world studies are conducted using a rigorous methodology, aimed at minimizing the risk of bias.

Effectiveness of a structured stimulated spontaneous safety monitoring of medicines reporting program in strengthening pharmacovigilance system in Tanzania

Under-reporting of adverse drug events (ADEs) is a challenge facing developing countries including Tanzania. Given the high magnitude of under-reporting, it was necessary to develop and assess the effectiveness of a ‘structured stimulated spontaneous safety monitoring’ (SSSSM) reporting program of ADEs which aimed at strengthening pharmacovigilance system in Tanzania. A quasi-experimental design and data mining technique were used to assess the effect of intervention after the introduction of program in seven tertiary hospitals. ADEs reports were collected from a single group and compared for 18 months before (July 2017 to December, 2018) and after the program (January 2019 to June 2020). Out of 16,557 ADEs reports, 98.6% (16,332) were reported after intervention and 0.1% (23) death related to adverse drug reactions (ADRs) were reported. Reports increased from 20 to 11,637 after intervention in Dar es salaam, 49 to 316 in Kilimanjaro and 17 to 77 in Mbeya. The population-based reporting ratio per 1,000,000 inhabitants increased from 2 reports per million inhabitants in 2018 to 85 reports in 2019. The SSSSM program can increase the reporting rate of ADEs and was useful in detecting signals from all types of medicines. This was first effective developed spontaneous program to monitor medicine safety in Tanzania.

Overcoming the cardiac toxicities of cancer therapy immune checkpoint inhibitors

Immune checkpoint inhibitors (ICIs) have led recent advances in the field of cancer immunotherapy improving overall survival in multiple malignancies with abysmal prognoses prior to their introduction. The remarkable efficacy of ICIs is however limited by their potential for systemic and organ specific immune-related adverse events (irAEs), most of which present with mild to moderate symptoms that can resolve spontaneously, with discontinuation of therapy or glucocorticoid therapy. Cardiac irAEs however are potentially fatal. The understanding of autoimmune cardiotoxicity remains limited due to its rareness. In this paper, we provide an updated review of the literature on the pathologic mechanisms, diagnosis, and management of autoimmune cardiotoxicity resulting from ICIs and their combinations and provide perspective on potential strategies and ongoing research developments to prevent and mitigate their occurrence.

Mobile app to perform anonymized longitudinal studies in the context of COVID-19 adverse drug reaction monitoring, leveraging the citizenship engagement

BACKGROUND

Over the last few years, increasingly studies focused on the development of mobile apps as complementary tools to existing pharmacovigilance traditional surveillance systems for improving and facilitating adverse drug reactions reporting.

OBJECTIVE

In this study, we evaluated the potentiality of a new mobile app (vaxEffect@UniMiB) to perform longitudinal studies while preserving the anonymity of the respondents. We applied it to monitor the adverse drug reactions during COVID-19 vaccination campaign in a sample of Italian population.

METHODS

We administered vaxEffect@UniMiB to a convenience sample of academic subjects vaccinated at Milano-Bicocca University hub for COVID-19 during the Italian national vaccination campaign. vaxEffect@UniMiB was developed for both Android and iOS devices. The mobile app asks users to send their medical history and, upon every vaccine administration, their vaccination data and the adverse reactions that occurred within seven days after the vaccination, allowing the follow of reactions dynamic for each respondent. The app sends data over the web to an application server. The web server, along with receiving all user data, saves them in a SQL database server, and reminds patients to submit vaccine and adverse reactions' data by push notifications sent to the mobile app through Firebase Cloud Messaging. On initial startup of the app, a unique user identifier was generated for each respondent, so that its anonymity is completely ensured, while enabling longitudinal studies.

RESULTS

A total of 3712 people have been vaccinated during the first vaccination wave. A total of 2733 respondents between the ages of 19 and 80, coming from the University of Milano-Bicocca and the Politecnico of Milan, participated in the survey. Overall, we collected the information about vaccination and adverse reactions to the first vaccine dose for 2226 subjects (60.0% of vaccinated), to the second dose for 1610 subjects (43.3%), and, in a non-sponsored fashion, to the third dose for 169 individuals.

CONCLUSIONS

vaxEffect@UniMiB revealed to be the first attempt in performing longitudinal studies to monitor the same subject over time in terms of the reported ADRs after each vaccine administration, while guaranteeing at the same time complete anonymity of the subjects. A series of aspects contributed to a positive involvement from people in using this application to report their ADRs to vaccination: ease of use, availability from multiple platforms, anonymity of all the survey participants and protection of the submitted data and the healthcare workers' support.

CLINICALTRIAL

Acute Kidney Injury Associated With Remdesivir: A Comprehensive Pharmacovigilance Analysis of COVID-19 Reports in FAERS

Acute kidney injury (AKI) is a common complication among patients with the novel coronavirus (COVID-19). COVID-19 along with AKI usually resulted in a poor prognosis for those affected. Remdesivir is a novel antiviral drug that was urgently approved for the treatment of COVID-19. In the current study, safety data of remdesivir were limited. We gathered information on COVID-19 cases in patients with adverse events that were reported to the U.S. Food and Drug Administration (US FDA) Adverse Event Reporting System (FAERS) database. We employed the reporting odds ratio (ROR) method to perform disproportionality analysis. Finally, we identified 12,869 COVID-19 cases. A total of 3,991 of these cases reported remdesivir as a primary suspected drug, while 8,878 cases were treated with other drugs. More AKI events occurred in cases of male patients and those above the age of 65 years. We detected a significant association between remdesivir and AKI: ROR = 2.81, 95% CI (2.48, 3.18). The association was stronger after the propensity score matching ROR = 3.85, 95% CI (3.11, 4.78). The mean time to AKI event onset was 4.91 ± 7.25 days in COVID-19 cases with remdesivir therapy. The fatality proportion was 36.45% in AKI cases with remdesivir treatment. This pharmacovigilance study identified a significant association between AKI events and remdesivir treatment in COVID-19 patients by mining FAERS real-world big data. Although causality was not confirmed, the association between remdesivir and AKI should not be ignored, especially in the older, male COVID-19 inpatients.

Adverse Drug Reactions with Drugs Used in Multiple Sclerosis: An Analysis from the Italian Pharmacovigilance Database

Given the importance of inflammation at the onset of multiple sclerosis (MS), therapy is mainly based on the use of anti-inflammatory drugs including disease modifying therapies (DMTs). Considering the recent approval of some DMTs, pharmacovigilance becomes a fundamental tool for the acquisition of new safety data. The aim of the study was to analyze adverse drug reactions (ADRs) related to the use of drugs approved for MS. All national publicly-available aggregated ADR reports recorded from 2002 to 2020 into the Reports of Adverse Reactions of Medicines (RAM) system and all complete Sicilian data reported into the Italian spontaneous reporting system (SRS) database having as suspected drugs interferon β-1a (IFN β-1a), interferon β-1b (IFN β-1b), peginterferon β-1a (PEG-IFN β-1a), glatiramer acetate (GA), natalizumab (NTZ), fingolimod (FNG), teriflunomide (TRF), dimethyl fumarate (DMF), alemtuzumab (Alem), ocrelizumab (OCZ), or cladribine (Cladr), were collected. Descriptive analyses of national, publicly-available aggregated data and full-access regional data were performed to assess demographic characteristics and drug-related variables followed by a more in-depth analysis of all Sicilian ADRs with a case-by-case assessment and a disproportionality analysis of unexpected ADRs. A total of 13,880 national reports have been collected from 2002 to 2020: they were mainly not serious ADRs (67.9% vs. 26.1%) and related to females (71.7% vs. 26.3%) in the age group 18–65 years (76.5%). The most reported ADRs were general and administration site conditions (n = 6,565; 47.3%), followed by nervous (n = 3,090; 22.3%), skin (n = 2,763; 19.9%) and blood disorders (n = 2,180; 15.7%). Some unexpected Sicilian ADRs were shown, including dyslipidemia for FNG (n = 10; ROR 28.5, CI 14.3–59.6), NTZ (n = 5; 10.3, 4.1–25.8), and IFN β-1a (n = 4; 8.7, 3.1–24.1), abortion and alopecia for NTZ (n = 9; 208.1, 73.4–590.1; n = 3; 4.9, 1.5–15.7), and vitamin D deficiency for GA (n = 3; 121.2, 30.9–475.3). Moreover, breast cancer with DMF (n = 4, 62.8, 20.5–191.9) and hypothyroidism with Cladr (n = 3; 89.2, 25.9–307.5) were also unexpected. The reporting of drugs-related ADRs in MS were mostly reported in the literature, but some unknown ADRs were also found. However, further studies are necessary to increase the awareness about the safety profiles of new drugs on the market.

A contextual multi-task neural approach to medication and adverse events identification from clinical text

Effective wide-scale pharmacovigilance calls for accurate named entity recognition (NER) of medication entities such as drugs, dosages, reasons, and adverse drug events (ADE) from clinical text. The scarcity of adverse event annotations and underlying semantic ambiguities make accurate scope identification challenging. The current research explores integrating contextualized language models and multi-task learning from diverse clinical NER datasets to mitigate this challenge. We propose a novel multi-task adaptation method to refine the embeddings generated by the Bidirectional Encoder Representations from Transformers (BERT) language model to improve inter-task knowledge sharing. We integrated the adapted BERT model into a unique hierarchical multi-task neural network comprised of the medication and auxiliary clinical NER tasks. We validated the model using two different versions of BERT on diverse well-studied clinical tasks: Medication and ADE (n2c2 2018/n2c2 2009), Clinical Concepts (n2c2 2010/n2c2 2012), Disorders (ShAReCLEF 2013). Overall medication extraction performance enhanced by up to +1.19 F1 (n2c2 2018) while generalization enhanced by +5.38 F1 (n2c2 2009) as compared to standalone BERT baselines. ADE recognition enhanced significantly (McNemar's test), out-performing prior baselines. Similar benefits were observed on the auxiliary clinical and disorder tasks. We demonstrate that combining multi-dataset BERT adaptation and multi-task learning out-performs prior medication extraction methods without requiring additional features, newer training data, or ensembling. Taken together, the study contributes an initial case study towards integrating diverse clinical datasets in an end-to-end NER model for clinical decision support.

An attentive joint model with transformer-based weighted graph convolutional network for extracting adverse drug event relation

Adverse drug event (ADE) relation extraction is a crucial task for drug safety surveillance which aims to discover potential relations between ADE mentions from unstructured medical texts. To date, the graph convolutional networks (GCN) have been the state-of-the-art solutions for improving the ability of relation extraction task. However, there are many challenging issues that should be addressed. Among these, the syntactic information is not fully exploited by GCN-based methods, especially the diversified dependency edges. Still, these methods fail to effectively extract complex relations that include nested, discontinuous and overlapping mentions. Besides, the task is primarily regarded as a classification problem where each candidate relation is treated independently which neglects the interaction between other relations. To deal with these issues, in this paper, we propose an attentive joint model with transformer-based weighted GCN for extracting ADE Relations, called ADERel. Firstly, the ADERel system formulates the ADE relation extraction task as an N-level sequence labelling so as to model the complex relations in different levels and capture greater interaction between relations. Then, it exploits our neural joint model to process the N-level sequences jointly. The joint model leverages the contextual and structural information by adopting a shared representation that combines a bidirectional encoder representation from transformers (BERT) and our proposed weighted GCN (WGCN). The latter assigns a score to each dependency edge within a sentence so as to capture rich syntactic features and determine the most influential edges for extracting ADE relations. Finally, the system employs a multi-head attention to exchange boundary knowledge across levels. We evaluate ADERel on two benchmark datasets from TAC 2017 and n2c2 2018 shared tasks. The experimental results show that ADERel is superior in performance compared with several state-of-the-art methods. The results also demonstrate that incorporating a transformer model with WGCN makes the proposed system more effective for extracting various types of ADE relations. The evaluations further highlight that ADERel takes advantage of joint learning, showing its effectiveness in recognizing complex relations.

A survey of veterinary professionals in Sweden: Adverse event reporting and access to product safety information

BACKGROUND

Pharmacovigilance based on spontaneously reported suspected adverse events (AEs) from veterinary professionals is a powerful tool for detecting potential risks of using medicinal products. However, it is heavily dependent on the voluntary participation of veterinary professionals. Estimates suggest that over 90% of suspected AEs remain unreported. This survey was conducted to accumulate information on current practices and attitudes of Swedish veterinary professionals in relation to AE reporting and their perceptions of the accessibility of updated product safety information.

METHODS

Swedish veterinary professionals were surveyed using a web-based questionnaire prepared by the Swedish Medical Products Agency (SMPA). The survey included three sections with 13 questions and was distributed via several communication channels, including the Swedish Veterinary Association.

RESULTS

The survey was answered by 412 veterinary professionals, including veterinarians and licensed veterinary nurses. The survey identified that most veterinarians comply with national legislation by reporting directly to the SMPA, but not all observed AEs are reported. Veterinary professionals indicated that it is important to have an easy and efficient reporting system, preferably directly from an electronic medical records system. Feedback is considered important. Veterinary nursing staff could potentially improve the reporting rate of suspected AEs in Sweden. The degree of knowledge relating to the reporting of AEs varies among professionals, thus impacting on reporting frequency. A single source of product safety information is mainly used, and improvements are required to enhance accessibility and distribution of updated product safety information.

CONCLUSIONS

The insight gained from this survey will be used to influence attitudes and facilitate adaptations needed to fulfil the requirements of the European Union regulations. To reduce underreporting of AEs and facilitate access to updated product safety information, various approaches are required including educational interventions, new digital reporting tools and adaption of communication strategies.

Inhaled Drug Therapy-Associated Adverse Reactions in Obstructive Respiratory Diseases: A Review of a Decade of Reporting to the Portuguese Pharmacovigilance System

Inhaled medication used for treatment of chronic obstructive lung diseases (asthma, chronic obstructive pulmonary disease-COPD, and Asthma-COPD overlap) may be associated with adverse drug reactions (ADRs). The aim of this study was to characterise spontaneous reports (SRs) of suspected ADRs received by the Portuguese Pharmacovigilance System (PPS), from 2007 to 2017. Methods: Retrospective observational study of SRs associated with single substance and combination inhalers, analysed in terms of pharmacological class of the involved drugs, sex and age range of the involved patients, and seriousness and type of ADRs. Results: 230 SRs were analysed, accounting for a total of 599 suspected ADRs. Inhaled corticosteroid/long-acting beta-2 agonist combination had the highest frequency in SRs (32.2%) and in ADRs (32.7%). There was a slight predominance in men (51.3%) and non-elderly adults were the most affected age group (39.1%). Most SRs were serious (70.4%). In total, “respiratory, thoracic and mediastinal diseases” ADRs were the most reported (19.5%), with “dyspnea” being the most frequent (4.8%). Conclusions: Most SRs were associated with controller medications and were expected. Most ADRs involved non-elderly adults, were serious and of respiratory nature and many were due to overuse of reliever medication.

Improving the data quality of spontaneous ADR reports: a practical example from Malta

BACKGROUND

Adverse drug reaction (ADR) reporting rates and high-quality data within case summary reports are crucial to detect emerging safety concerns and implement regulatory action. In this study we aimed to improve the data quality and reporting rates of ADR reports in Malta through a series of national activities.

RESEARCH DESIGN AND METHODS

Between April 2018 and July 2019, we carried out the following activities: i) a review of wholesale dealers ADR reporting forms; ii) a series of educational workshops targeting physicians and pharmacists; iii) a quality system audit of the Authority's ADR management process.

RESULTS

Twelve wholesaler dealer forms were reviewed, and 155 improvements were identified. Incident reporting forms modified to capture ADRs had the most opportunities for improvement. Five workshops were organized and in total 62 physicians and 22 pharmacists attended. Although feedback from participants was positive, in our case, an increase in reporting was not observed following the workshops. The quality system audit resulted in the introduction of the 'four-eye principle' to the Authority's ADR management process.

CONCLUSIONS

The implementation of such activities is expected to contribute to the overall pharmacovigilance systems in Malta and our experience could benefit other entities involved in spontaneous ADR reporting.

Adverse Drug Reactions with HER2-Positive Breast Cancer Treatment: An Analysis from the Italian Pharmacovigilance Database

Background

Anti-HER2 therapy has evolved in the last years and an important role in this transformation was that of monoclonal antibodies and tyrosine kinase inhibitors. Considering their extended use in clinical practice, some toxicity problems have been highlighted around these drugs.

Objective

To analyze the onset of adverse drug reactions (ADRs) related to the use of HER2-positive breast cancer treatments through a spontaneous reporting system (SRS) database.

Methods

All ADR reports having as suspected drug trastuzumab, pertuzumab, lapatinib, or trastuzumab emtansine (TDM-1), recorded into the Report Reazioni Avverse dei Medicinali (RAM) system database for national data and into the Italian SRS database for Sicilian data and collected from 2006 to 2020 have been evaluated. A descriptive analysis of basal demographic and drug-related characteristics was performed. A case-by-case methodology was conducted paying particular attention to the serious ADR reports collected in Sicily, focusing on type of seriousness, age, sex, concomitant drugs, comorbidities, time to onset (TTO), and time to resolution (TTR).

Results

Of the 3609 Italian reports, 65.6% were related to trastuzumab (n = 2367), followed by pertuzumab, TDM-1, and lapatinib. Almost all reports occurred in female patients (94.3%) and were most frequent in the age group 18–65 years (69.6%). A higher number of cases were related to general disorders and administration site conditions (n = 1079; 29.9%), gastrointestinal disorders (n = 1037; 28.7%), skin disorders (n = 821; 22.7%), and blood disorders (n = 599; 16.6%). Cases involving trastuzumab and pertuzumab mainly reported general disorders (n = 788; 33.3% and n = 194; 32.1%, respectively) while more than half of the reports associated with lapatinib were related to gastrointestinal (n = 184; 59.7%) and skin diseases (n = 146; 47.4%). Regarding TDM-1, 40% of reports had at least one ADR belonging to blood and lymphatic system disorders. The case-by-case assessment of Sicilian ADR reports showed that 40 cases were serious (33.3%), with a median TTO of 37 (6–97) days. Serious ADR reports mainly involved the onset of thrombocytopenia (n = 8; 20.0%), diarrhea (n = 6; 15.0%), asthenia and cardiac failure (both with n = 5; 12.5%), vomiting, hypersensitivity, and ejection fraction decreased (all with n = 4; 10.0%) and stomatitis (n = 3: 7.5%).

Conclusion

This study is fundamentally consistent with results from the literature. Given the serious clinical condition of breast cancer and taking into account the importance of preventing some clinically relevant ADRs related to the use of anti-HER2 therapy, further analyses are essential to better describe the safety profile of these target therapies.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40801-021-00278-z.

A VigiBase descriptive study of fluoroquinolone induced disabling and potentially permanent musculoskeletal and connective tissue disorders

Recent drug safety concerns described fluoroquinolone (FQ)-induced serious musculoskeletal reactions. The objective of this study was to characterize reports with FQ-associated disabling musculoskeletal disorders, from VigiBase. The analysis included all FQ-induced musculoskeletal and connective tissue disorders adverse drug reaction (ADR) reports (up to July-2019), (disabling/incapacitating, or recovered/resolved with sequelae or fatal). We described aspects like reporter, suspected FQs, ADRs, associated corticosteroid therapy. We also looked into the disproportionality data in terms of proportional reporting ratio (PRR) and information component (IC) values. A total of 5355 reports with 13,563 ADRs and 5558 FQs were reported. The majority of reports were for patients aged 18-64 (62.67%), and the female gender prevailed (61.76%). Consumers reported almost half (45.99%), with a peak in reporting rates in 2017. Top reported ADRs were arthralgia (16.34%), tendonitis (11.04%), pain in extremity (9.98%), tendon pain (7.63%), and myalgia (7.17%). Top suspected FQs were levofloxacin (50.04%), ciprofloxacin (38.41%), moxifloxacin (5.16%), ofloxacin (3.17%) and norfloxacin (1.01%). For these, FQs-ADR association was supported by the disproportionality analysis. Corticosteroids were associated with about 7% of tendon related reports. The results augment the existing data on FQs safety concerns, specifically their potential effect on the musculoskeletal system.

A pharmacovigilance study of association between proton pump inhibitor and dementia event based on FDA adverse event reporting system data

Proton pump inhibitor (PPI) was widely used around the world. Studies suggested conflicting results between PPI treatment and dementia event. This study examined the association between six PPI agents and dementia event by mining the US FDA Adverse Event Reporting System (FAERS) database from 2004 to 2020. We employed proportional reporting ratio (PRR) and information element (IC) methods to detect the signals of dementia relevant to PPI. We also analyzed characteristics of PPI and positive control reports, compared dementia event between long- and short-duration of PPI treatment. Finally, we identified 2396 dementia cases with PPI treatment. We did not detect significant signal between PPI and dementia event: PRR = 0.98, 95%CI 0.94 to 1.02, IC = −0.03, 95%CI − 0.17 to 0.10, even in gastroesophageal reflux disease cases: PRR = 0.65, 95%CI 0.59 to 0.72, IC = −0.62, 95%CI − 0.97 to − 0.27. No significant differences of dementia event were detected between long- and short- duration groups, the OR (95%CI) of the 3 years, 5 years and 10 years comparison were 0.70 (0.48 to 1.02), 0.72 (0.45 to 1.15) and 1.65 (0.75 to 3.63), respectively. Based on the current FAERS data mining, we discovered no association between PPI use and dementia event, even in long-term PPI therapy case.

Nurses' Knowledge, Attitudes, and Practice in Relation to Pharmacovigilance and Adverse Drug Reaction Reporting: A Systematic Review

AIM

To describe and synthesize aspects of knowledge, attitudes, and practice regarding pharmacovigilance and adverse drug reaction (ADR) reporting and to explore associated barriers from a nurse perspective.

METHODS

A systematic review was conducted. Electronic databases including MEDLINE, Embase, Scopus, and Web of Knowledge from January 2010 to October 2020 were searched. Original observational studies that were written in English and which focused on nurses' knowledge, attitudes, practice, and perceived barriers regarding pharmacovigilance and ADR reporting in various healthcare settings were included.

RESULTS

Twenty-three studies published in English from 2010 to 2020 were retrieved during the search process. Overall, in the knowledge domain, the median percentages of nurses who were aware of the definitions of ADRs were 74.1%, while only 26.3% were aware of the adverse drug reaction reporting form. In the attitude domain, 84.6% of nurses believed ADR reporting to be important for patient/medicine safety and 37.1% had a fear of legal liability following ADR reporting. Although 67.1% of nurses encountered ADRs during their professional life, only 21.2% had a history of ADR reporting. In addition, lack of knowledge/training (median: 47.1%) was identified as the most common barrier in ADR reporting from a nursing viewpoint.

CONCLUSION

Despite positive nurse attitudes, knowledge and practice in relation to pharmacovigilance activities and ADR reporting did not occur regularly or often. Improving nurses' knowledge through in-service training and degree-level education and addressing the main barriers of ADR reporting may help to achieve an improved level of reporting.

Adverse drug reactions with oral anticoagulants: data from sicilian spontaneous reporting system database

OBJECTIVE

Direct oral anticoagulants (DOACs) were developed to avoid the limitations of vitamin K antagonists (VKAs). DOACs are associated with a greater incidence of gastrointestinal bleeding and a smaller number of intracranial haemorrhages than VKAs. Therefore, it is important to deepen our knowledge of their safety profiles. The aim of this study was thus to analyse adverse drug reaction (ADR) reports on DOACs and VKAs using the Sicilian Spontaneous Reporting System (SRS) database.

METHODS

All ADR reports with DOACs and VKAs as suspected drugs that were entered into the Sicilian SRS database during the period 2001-2019 were selected. In detail, all reports with the following single active substances were included: dabigatran etexilate, rivaroxaban, apixaban and edoxaban; acenocoumarol and warfarin were included as a comparator group. Descriptive statistical methodology was used to evaluate characteristics of the reported cases with a case-by-case assessment.

RESULTS AND DISCUSSION

Out of 521 reports related to anticoagulants, 444 (85.2%) and 77 (14.8%) involved DOACs and VKAs, respectively. DOAC-related reports were mainly of gastrointestinal disorders. In contrast, VKAs were mostly associated with blood and lymphatic system disorders, injury, investigations and vascular disorders. Many more cases of ADRs in the form of gastrointestinal disorders concerned dabigatran etexilate (n = 179, 73.7%) than the other DOACs, while ADRs in the form of blood disorders were mainly associated with acenocoumarol (n = 27, 57.4%). The most commonly reported Preferred Terms for DOACs were dyspepsia (n = 89, 17.1%), upper abdominal pain (n = 41, 9.2%) and pruritus (n = 26, 5.8%), whereas for VKAs, they were anaemia (n = 21, 27.3%) and hypocoagulable state (n = 18, 3.5%). Potentially interacting concomitant medications particularly included antithrombotic agents (n = 19, 4.3%) for DOACs and proton-pump inhibitors (PPIs) (n = 37, 48.1%) and antithrombotic agents (n = 13, 16.9%) for VKAs.

CONCLUSION

The ADRs most commonly associated with DOACs, especially dabigatran, were gastrointestinal disorders, particularly gastrointestinal bleeding. Our study also highlights the potential role of drug-drug interactions in the ADRs. The cases of gastrointestinal bleeding highlight the need for careful prescribing of DOACs and use of potentially interacting concomitant drugs.

Proton pump inhibitors associated acute kidney injury and chronic kidney disease: data mining of US FDA adverse event reporting system

Proton pump inhibitors (PPIs) were widely used. Observational studies suggested increasing risk of kidney injury in patients with PPIs treatment. We gathered six PPI regimens and adverse reports of acute kidney injury (AKI) and chronic kidney disease (CKD) based on US FDA Adverse Event Reporting System (FAERS) database from 2004 to 2019. We employed reporting odds ratio (ROR) to detect signals. Finally, we identified 3187 PPIs-associated AKI cases and 3457 PPIs-associated CKD cases. We detected significant signals between PPIs and AKI as well as CKD. The signal strength was stronger for CKD (ROR = 8.80, 95% CI 8.49–9.13) than AKI (ROR = 3.95, 95% CI 3.81–4.10), while dexlansoprazole performed stronger association for CKD (ROR = 34.94, 95% CI 30.89–39.53) and AKI (ROR = 8.18, 95% CI 7.04–9.51) than the other five PPIs. The median time from PPIs use to event occurrence was 23 days for AKI and 177 days for CKD. PPIs-associated AKI resulted larger proportion of death, life-threatening, hospitalization and disability events than PPIs-associated CKD. By mining the FAERS big data, we provided more information between PPIs use and the AKI and CKD events. PPIs rational use should be repeatedly stressed.

A pharmacovigilance study to quantify the strength of association between the combination of antimalarial drugs and azithromycin and cardiac arrhythmias: implications for the treatment of COVID-19

Background: Hydroxychloroquine, an antimalarial drug, combined with azithromycin has been considered a potential treatment for COVID-19. However, these drugs may cause electrocardiogram QT prolongation (QTp) and torsade de Pointes (TdP). We examined potential safety signals for these cardiac arrhythmias. Methods: Using the OpenVigil 2.1 MedDRA platform, we mined data from the U.S. Food and Drug Administration's Adverse Event Reporting System (FAERS) from December 2019 to June 2020. We extracted individual case safety reports based on exposures of seven antimalarial drugs, azithromycin, and combinations. All other drugs in FAERS served as controls. Events of interest included QTp and TdP, with associations between drug exposures and events expressed as adjusted Reporting-Odds-Ratios (aRORs) and confidence intervals. The lower end of aROR 95% confidence interval >1 was used as the statistically significant signal detection threshold. Results: QTp safety signals were found for hydroxychloroquine[aROR:11.70 (10.40-13.16)], chloroquine[aROR:18.97 (11.30-31.87)], quinine[aROR:16.66 (10.18-27.25)], atovaquone[aROR:6.91 (4.14-11.56)], azithromycin alone [aROR:28.02 (22.87-34.32)] and hydroxychloroquine + azithromycin [aROR:75.23 (51.15-110.66)]. TdP safety signals were found for hydroxychloroquine [aROR: 5.62 (4.94-6.38)], chloroquine[aROR:49.37 (30.63-79.58)], and hydroxychloroquine + azithromycin[aROR:33.09 (21.22-51.61)]. Conclusion: Hydroxychloroquine/chloroquine and/or azithromycin was associated with QTp/TdP safety signals and their use should be monitored carefully.

Safety profile of biologic drugs for psoriasis in clinical practice: An Italian prospective pharmacovigilance study

Psoriasis is an inflammatory and chronic skin disorder associated with physical and psychological burden impairing patients’ quality of life. In the last decade, biologic drugs have widely changed treatment of moderate-severe psoriasis and their number is increasing overtime. To early identify expected/unexpected adverse events (AEs) with biologic treatments, pharmacovigilance programs are needed. We designed a post-marketing active pharmacovigilance program to monitor and analyse AEs and/or serious adverse events (SAEs) reports. All consecutive patients treated with one biologic drug during a two-years period and satisfying inclusion criteria have been enrolled in five Dermatology tertiary units. Demographic and clinical features of patients, type of treatment used, therapy discontinuation, failures, switch/swap to another biologic, and possible onset of AEs were collected. Overall, 512 patients with a diagnosis of psoriasis (286; 55.9%) or arthropathic psoriasis (226; 44.1%) have been enrolled. Eighty-two (16%) patients with AEs and 5 (1%) with SAEs have been identified. Further, 59 (11.5%) had a primary/secondary failure (mainly on infliximab and etanercept). The adverse events and SAEs were reported with golimumab (4/12), adalimumab (32/167), infliximab (9/48), etanercept (31/175) and ustekinumab (11/73), no adverse events have occurred with secukinumab (0/37). Infliximab and etanercept were significantly associated with primary/secondary failures, whereas no differences have been highlighted for AEs insurgence. On the other hand, ustekinumab seems to be associated with a low rate of AEs (p = 0.01) and no adverse events or failures have been reported with secukinumab (p = 0.04 and 0.03, respectively). Our study, even though limited by a small sample size and a brief follow-up period, provide useful data on widely used biologic drugs and their tolerability, discontinuation rate and the incurrence of severe adverse events. Further studies are necessary to include the recently approved biologic drugs and to increase the sample size for more detailed analysis.

Navigating stormy waters: 10 years of operation of the European Union Regulatory Network Incident Management Plan for Medicines for Human Use

Purpose

The article provides an overview of the European Union Incident Management plan (EU‐IMP) and reviews its first 10 years of operation. It outlines its scope, objectives, triggers, principles, and components.

Methods

Records were extracted from the European Pharmacovigilance Issues Tracking Tool and a separate tracking system for the period August 20, 2009 to August 19, 2019.

Results

During the 10 years of observation, 78 incidents were reviewed by the Incident Review Network and addressed through routine measures. Their number has varied throughout the years with a significant decrease after 2012. Incidents mainly covered safety (56%) and quality (34%) issues or a combination thereof (5%). The majority (70%) were notified by EU regulators and involved centrally and nationally authorized product in similar proportions. A referral was recommended as the assessment pathway for 47% of the issues while lines‐to‐take were the most frequent communication measure (the sole measure in 65% cases). Forty‐six per cent of the issues resulted in a variation, whereas 22% resulted in maintenance of the marketing authorization.

Conclusion

The EU‐IMP is underpinned by a robust regulatory framework with defined processes and clear roles and responsibilities and offers a platform to coordinate actions and communication at EU level, rapidly pool expertise, minimize duplications, and address public health incidents.

Safety evaluation of adverse events following vaccination with Havrix, Engerix-B or Twinrix during pregnancy

BACKGROUND

Vaccination of pregnant women against hepatitis A virus (HAV) or hepatitis B virus (HBV) may benefit the mother and the fetus but is not routinely recommended. However, the risk associated with vaccination should be weighed against the risk of HAV or HBV infection. Data on safety profiles after hepatitis A, B or combined AB immunization during pregnancy are limited.

METHODS

We searched the GSK Worldwide Safety Database for adverse events (AEs) following immunization of pregnant women with HAV (Havrix, GSK), HBV (Engerix-B, GSK) or the combined hepatitis AB (Twinrix, GSK) vaccine since market authorization through 31 January 2018, covering at least 25 years. AE reports (spontaneous, post-marketing surveillance and clinical trial cases) in the GSK Worldwide Safety Database were identified using a systematic search and were reviewed by clinicians to ascertain pregnancy status at time of vaccination and characterize adverse pregnancy outcomes, including pregnancy-related AEs and AEs in infants regardless of the causality assessment.

RESULTS

Overall, 613, 700 and 363 pregnancies with exposure to Havrix, Engerix-B and Twinrix, respectively, were reported. Of these, 378, 339 and 194 were analyzed. The most frequently identified pregnancy outcomes were live infants (288, 223 and 151), spontaneous abortions (43, 57 and 26) and elective terminations (25, 24 and 9). A total of 19, 29 and 10 cases of congenital anomalies were reported. Of these, 17, 20 and 7 were major birth defects. The most commonly reported pregnancy-related AE and AE in infants were premature delivery (28) and jaundice (11), respectively. No maternal deaths were reported. Congenital anomalies were reported in all recorded infant deaths.

CONCLUSIONS

This review did not indicate any concerning pattern of adverse pregnancy outcomes following exposure to any of the 3 vaccines during pregnancy.

Knowledge, attitudes and practices of health care professionals towards adverse drug reaction reporting in public sector primary health care facilities in a South African district

PURPOSE

Adverse drug reactions (ADRs) have an appreciable impact on patients' health. Little is known however about ADR reporting in ambulatory care environments especially in low- and middle-income countries. Consequently, our aim was to determine knowledge, attitudes and practices (KAP) among health care professionals (HCPs) towards ADR reporting in primary health care (PHC) facilities in South Africa. The findings will be used to direct future activities.

METHODS

Descriptive, cross-sectional design using quantitative methodology among 8 public sector community health care centres and 40 PHC clinics in the Tshwane Health District, Gauteng Province. A self-administered questionnaire was distributed to 218 HCPs, including all key groups.

RESULTS

A total of 200 responses were received (91.7%). Although an appropriate attitude towards ADR reporting existed, the actual frequency of ADR reporting was low (16.0%). Of the respondents, 60.5% did not know how to report, where to report or when to report an ADR and 51.5% said the level of their clinical knowledge made it difficult to decide whether or not an ADR had occurred. Over 97.5% stated they should be reporting ADRs with 89% feeling that ADR reporting is a professional obligation and over 70% that ADR reporting should be compulsory. When results were combined, the overall mean score in terms of positive or preferred practices for ADR reporting was 24.6% with pharmacists having the highest scores.

CONCLUSION

Under-reporting of ADRs with gaps in KAP was evident. There is a serious and urgent need for education and training of HCPs on ADR reporting in South Africa.

Comparing rates and characteristics of ambulance attendances related to extramedical use of pharmaceutical opioids in Victoria, Australia from 2013 to 2018

BACKGROUND AND AIMS

Despite increases in opioid prescribing and related morbidity and mortality, few studies have comprehensively documented harms across opioid types. We examined a population-wide indicator of extramedical pharmaceutical opioid-related harm to determine if the supply-adjusted rates of ambulance presentations, the severity of presentations or other attendance characteristics differed by opioid type.

DESIGN

Retrospective observational study of coded ambulance patient care records related to extramedical pharmaceutical opioid use, January 2013 to September 2018.

SETTING

Australia CASES: Primary analyses used Victorian data (n = 9823), with available data from other Australian jurisdictions (n = 4338) used to determine generalizability.

MEASUREMENTS

We calculated supply-adjusted rates of attendances using Poisson regression, and used multinomial logistic regression to compare demographic, presentation severity, mental health, substance use and other characteristics of attendances associated with seven pharmaceutical opioids.

FINDINGS

In Victoria, the highest rates of attendance [per 100 000 oral morphine equivalent mg (OME)] were for codeine (0.273/100 000) and oxycodone (0.113/100 000). The lowest rates were for fentanyl (0.019/100 000) and tapentadol (0.005/100 000). Oxycodone-naloxone rates (0.031/100 000) were lower than for oxycodone as a single ingredient (0.113/100 000). Fentanyl-related attendances were associated with the most severe characteristics, most likely to be an accidental overdose, most likely to have naloxone administered and least likely to be transferred to hospital. In contrast, codeine-related attendances were more likely to involve suicidal thoughts/behaviours, younger females and be transported to hospital. Supply-adjusted attendance rates for individual opioids were stable over time. Victorian states were broadly consistent with non-Victorian states.

CONCLUSIONS

In Australia, rates and characteristics of opioid-related harm vary by opioid type. Supply-adjusted ambulance attendance rates appear to be both stable over time and unaffected by large changes in supply.

Active surveillance of adverse events following immunization (AEFI): a prospective 3-year vaccine safety study

BACKGROUND

Vaccines used in national immunization programs are considered safe and effective but immunization safety has become as important as the efficacy of vaccination programs. The objective of the study was to detect adverse events following immunization (AEFIs) to all vaccines administered to a pediatric population in India.

METHODS

The prospective active vaccine safety surveillance study enrolled eligible children in the age group 0-5 years receiving vaccination from the immunization center at JSS Hospital, Mysuru. Study participants were monitored at the site for 30 min following vaccination and a telephonic survey was made after 8 days to identify all AEFIs. Causality assessment of the AEFIs were done using a new algorithm developed by the safety and vigilance department of the World Health Organization.

RESULTS

The incidence of reported AEFIs was 13.7%. The most frequently reported AEFI was fever (n = 3095, 93.2%) with an incidence of 109.7 per 1000 doses of vaccine administered, followed by persistent crying (n = 69, 2.4 per 1000 doses of vaccine) and diarrhea (n = 57, 2.0 per 1000 doses of vaccine). The majorly implicated vaccine for AEFIs was Pentavac® followed by BCG. Consistent causal association to immunization was observed in 93.4% of cases.

CONCLUSIONS

A high incidence rate of AEFI was observed in our study population when compared with previous published studies. AEFI surveillance studies help to detect changes in the frequency of adverse events, which may be an alert to consider vaccine quality or identify a specific risk among the local population.

Ototoxic Adverse Drug Reactions: A Disproportionality Analysis Using the Italian Spontaneous Reporting Database

Introduction: The panorama of drug-induced ototoxicity has widened in the last decades; moreover, post-marketing data are necessary to gain a better insight on ototoxic adverse drug reactions (ADRs). The aim of this study was to perform an analysis of ADR reports describing drug-induced ototoxicity from the Italian spontaneous reporting system (SRS).

Methods: As a measure of disproportionality, we calculated the reporting odds ratios (RORs) and 95% confidence intervals (CIs) with a case/non-case methodology. Cases were all suspected ADR reports regarding drug-induced ototoxicity collected into the Italian SRS from 2001 to 2017. Non-cases included all other ADRs reported in the same period.

Results: Of 325,980 reports, 652 included at least one ototoxic ADR, compared with 325,328 non-cases. Statistically significant adjusted RORs were found for drugs for cardiovascular disorders, urologicals, teriparatide, amikacin, prulifloxacin, rifampicin and isoniazid, cisplatin, hormone antagonists, tacrolimus, pomalidomide, tramadol, and antidepressants. Significant adjusted RORs in relation to tinnitus were also observed for doxazosin (ROR 5.55, 95% CI 2.06–14.93), bisoprolol (4.28, 1.59–11.53), nebivolol (8.06, 3.32–19.56), ramipril (3.96, 2.17–7.23), irbesartan (19.60, 9.19–41.80), betamethasone (4.01, 1.28–12.52), moxifloxacin (4.56, 1.71–12.34), ethambutol (12.25, 3.89–38.57), efavirenz (16.82, 5.34–52.96), sofosbuvir/ledipasvir (5.95, 1.90–18.61), etoposide (7.09, 2.63–19.12), abatacept (6.51, 2.42–17.53), indometacin (6.30, 2.02–19.72), etoricoxib (5.00, 2.23–11.23), tapentadol (4.37, 1.09–17.62), and timolol combinations (23.29, 9.53–56.95). Moreover, significant adjusted RORs for hypoacusis regarded clarithromycin (3.95, 1.86–8.40), azithromycin (10.23, 5.03–20.79), vancomycin (6.72, 2.14–21.11), methotrexate (3.13, 1.00–9.81), pemetrexed (4.38, 1.40–13.76), vincristine (5.93, 1.88–18.70), vinorelbine (21.60, 8.83–52.82), paclitaxel (2.34, 1.03–5.30), rituximab (3.20, 1.19–8.63), interferon alfa-2b (17.44, 8.56–35.53), thalidomide (16.92, 6.92–41.38), and deferasirox (41.06, 20.07–84.01).

Conclusions: This study is largely consistent with results from literature. Nevertheless, propafenone, antituberculars, hormone antagonists, teriparatide, tramadol, and pomalidomide are unknown for being ototoxic. Hypoacusis after the use of vinorelbine, methotrexate, and pemetrexed is unexpected, such as tinnitus related with etoposide, nebivolol, betamethasone, abatacept, sofosbuvir/ledipasvir, and tapentadol, but these considerations require further investigation to better define the risk due to the paucity of data. Moreover, physicians should be aware of the clinical significance of ototoxicity and be conscious about the importance of their contribution to spontaneous reporting.

An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine

BACKGROUND AND OBJECTIVE

Automatic extraction of adverse drug effect (ADE) mentions from biomedical texts is a challenging research problem that has attracted significant attention from the pharmacovigilance and biomedical text mining communities. Indeed, deep learning based methods have recently been employed to solve this issue with great success. However, they fail to effectively identify the boundary of mentions. In this paper, we propose a weighted online recurrent extreme learning machine (WOR-ELM) based method to overcome this drawback.

METHODS

The proposed method for ADE mentions extraction from biomedical texts is divided into two stages: span detection and ADE mentions classification. At the first stage, we identify the boundary of the mentions irrespective of their types with a WOR-ELM in a given sentence. At the second stage, another WOR-ELM is used to classify the identified mentions to the appropriate type. Both stages use the concatenation of character-level and word-level embeddings as features. The character-level embedding is obtained using a modified online recurrent extreme learning machine, whereas the word-level embedding is obtained from a pre-trained model.

RESULTS

Several experiments were carried out on a well-known ADE corpus to evaluate the effectiveness and demonstrate the usefulness of the proposed method. The obtained results show that our method achieves an F-score of 87.5%, which outperforms the current state-of-the-art methods.

CONCLUSIONS

Our research results indicate that the proposed method for adverse drug effect mentions extraction from text can significantly improve performance over existing methods. Our experiments show the effectiveness of incorporating word-level and character level embeddings as features for WOR-ELM. They also illustrate the benefits of using IOU segment to represent ADE mentions.

Analysis of the Association of Administration of various glucocorticoids with development of acute pancreatitis using US Food and Drug Administration adverse event reporting system (FAERS)

Background

There have been debates about the association between the administration of glucocorticoids and the development of acute pancreatitis, since many anecdotal cases of this adverse event were affected either by concomitant diseases (such as systemic lupus erythematosus, SLE) that may develop acute pancreatitis without glucocorticoid treatment or by co-administered drugs with high risk for the event. The aim of the present study was to explore whether disproportionally elevated signals of developing acute pancreatitis may be detected in patients receiving glucocorticoids as compared those receiving other drugs.

Methods

We retrieved spontaneously reported cases of acute pancreatitis and clinically related adverse events (target events) from the US Food and Drug Administration Adverse Event Reporting System (FAERS) using 18 preferred terms (PTs). Target drugs studied were cortisol, cortisone, prednisolone, methylprednisolone, triamcinolone, dexamethasone, and betamethasone. After cleaning the data, we calculated reporting odds ratios (RORs) and 95% confidence intervals (CIs) of acute pancreatitis in patients who received one of the glucocorticoids. RORs were calculated for each glucocorticoid using all reported cases irrespective of reporters’ judgement about the contribution of the target drugs to events [i.e., primary suspected medication (PS), secondary suspected medication (SS), concomitant medication (C) and interacting (I)] and using cases with higher certainty of contribution (PS and SS), separately. When the lower limit of 95% CI of a ROR signal exceeded 1.0, the signal was considered statistically significant.

Results

The RORs (95% CIs) calculated using all reported cases (PS, SS, C, and I) for cortisol (1.68; 1.43–1.98), prednisolone (1.33; 1.19–1.47), methylprednisolone (1.77; 1.55–2.02) were significant, whereas those for other target drugs were insignificant. Using the cases in which target drugs were considered to contribute the events with higher certainty (PS or SS), RORs for prednisolone (1.31; 1.10–1.55), methylprednisolone (1.62; 1.30–2.01), and dexamethasone (1.27; 1.10–1.47) were considered significant, whereas those for others were insignificant. Regarding the performance of PTs for detecting signals (RORs) associated with acute pancreatitis from FAERS database, “pancreatitis acute” gave RORs with higher significance than others, whereas more specific PTs, “haemorrhagic necrotic pancreatitis”, “ischaemic pancreatitis”, “pancreatic necrosis” and “pancreatitis necrotising”, gave RORs with greater magnitude.

Conclusion

The present study demonstrated that the overrepresentation of signals for acute pancreatitis may be detected for prednisolone, methylprednisolone, and some others in the FAERS database.

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In Silico Approaches to Predict Drug-Transporter Interaction Profiles: Data Mining, Model Generation, and Link to Cholestasis

Transport proteins play a crucial role in drug distribution, disposition, and clearance by mediating cellular drug influx and efflux. Inhibition of these transporters may lead to drug-drug interactions or even drug-induced liver injury, such as cholestasis, which comprises a major challenge in drug development process. Thus, computer-based (in silico) models that can predict the pharmacological and toxicological profiles of these small molecules with respect to liver transporters may help in the early prioritization of compounds and hence may lower the high attrition rates. In this chapter, we provide a protocol for in silico prediction of cholestasis by generating validated predictive models. In addition to the two-dimensional molecular descriptors, we include transporter inhibition predictions as descriptors and evaluate the influence of the same on the performance of the cholestasis models.

Implementing a simple pharmacovigilance program to improve reporting of adverse events associated with biologic therapy in rheumatology: Preliminary results from the Calabria Biologics Pharmacovigilance Program (CBPP)

Introduction

Post-marketing surveillance activities (namely pharmacovigilance) are crucial to favor the early detection of unexpected adverse events (AEs) and/or serious adverse reactions (SAEs). Indeed, spontaneous reporting of AEs has been demonstrated to underestimate the number of events in different clinical settings. Aim of the present study is to report the preliminary data of a Regional (Calabria, Italy) Pharmacovigilance Program (CBPP) aimed at improving AEs’ reporting associated with biologics use in rheumatology.

Materials and methods

We developed a simple, cost-effective pharmacovigilance program based on regular training sessions for physicians (stimulated reporting), periodical phone calls by a clinical pharmacologist aimed at identifying new events and stimulating self-awareness and encouraging reporting to the physician during the subsequent follow-up visit for minor AEs. To test this approach, all consecutive patients undergoing treatment with one biologic agent at eight rheumatology centers during a two-years period were invited to participate. Collected AEs were compared to the number of AEs spontaneously reported for the same molecules in the same centers before starting the protocol.

Results

During the study period, 399 patients (245 females; mean age: 58 ± 11 years) were started on treatment with biologics for active RA (n = 211, 52.9%), PsA (n = 119, 29.8%) or AS (n = 69, 17.3%) at eight rheumatology centers. A total of 125 AEs (31.3%) and 9 SAEs (2.3%) were reported during the two-years study period. In the control cohort (comprising 368 consecutive patients started on treatment with bDMARDs during a two-years period before CBPP study) only 42 (11.4%) AEs and no SAEs were reported (p < 0.0001). The most common AEs were injection site reactions and skin disorders.

Conclusions

In conclusion, our study provides further evidence of a critical role of active pharmacovigilance in detection, reporting and analysis of AEs in rheumatology.

Real World Data on the Utilization Pattern and Safety Profile of Infliximab Originator Versus Biosimilars in Italy: A Multiregional Study

BACKGROUND

In recent years, several biosimilar drugs, including those of infliximab, have obtained marketing authorization from the European Medicines Agency (EMA). Given the peculiarity of the safety profile of biological medical products (originator and biosimilars), the evaluation of their tolerability represents an important component of pre-marketing and post-marketing clinical development. For example, infliximab products may cause adverse drug reactions (ADRs) including acute infusion reactions, delayed hypersensitivity reactions, and loss of efficacy, as a direct consequence of immunogenicity. Therefore, specific contraindications, special warnings and precautions have been introduced in the infliximab Summary of Product Characteristics (SPC).

OBJECTIVE

The aim was to assess the magnitude of preventable ADRs in individual case safety reports (ICSRs) having infliximab as a suspected drug across Italy (using the spontaneous reporting systems), and the probability of reporting infections, infusion reactions, lack of efficacy, and hypersensitivity for originator and biosimilars of infliximab.

METHODS

We analyzed ADRs reported across the 2015-2017 period in the databases of five Italian regions: Campania, Lombardy, Sicily, Tuscany, and Veneto. Preventability of ADRs was assessed using the P-method. To compare the probability of reporting infections, infusion reactions, lack of efficacy, and hypersensitivity as ADRs as opposed to other types of ADRs between originator and biosimilars of infliximab, we used the reporting odds ratio (ROR). For descriptive purposes, the number of ICSRs involving infliximab, the number of infliximab vials distributed in the aforementioned Italian regions and the relative reporting rate stratified by semester were reported.

RESULTS

From October 2015 to October 2017, 459 ICSRs reported infliximab as a suspected drug (222 ICSRs related to infliximab originator and 237 to infliximab biosimilars). In the same period, 81,906 vials of infliximab were distributed, resulting in a reporting rate of six ICSRs/1000 vials. Overall, 34 cases (7.41%) were categorized as preventable. The most frequently detected critical criteria were "documented hypersensitivity to administered drug or drug class," "inappropriate prescription for patient's underlying medical condition" and "incorrect dose." Biosimilars had, in adjusted analyses, an increased probability of being reported as suspected in ICSRs reporting infusion reactions (ROR 4.09; 95% confidence interval [CI] 1.26-13.32) when compared to Remicade^®. On the contrary, they had a decreased probability of being reported as suspected in ICSRs reporting infections or lack of efficacy (ROR 0.33; 95% CI 0.12-0.89; ROR 0.35; 95% CI 0.20-0.61).

CONCLUSION

Our study demonstrates that, along with a rapid increase in the utilization of infliximab biosimilars across Italy, there was also an increase in reporting ADRs induced by infliximab biosimilars. Of the reported ADRs, 7.4% were considered preventable. In adjusted analyses, infliximab biosimilars were shown to have an increased probability of being reported as suspected drugs in infusion reactions and a decreased probability of being reported as suspected drugs in cases of lack of efficacy or infection. Considering the potential advantages offered by the utilization of biosimilars in clinical practice, we believe that the use of biosimilars, including those of infliximab, should be supported. In order to achieve this aim, increased knowledge on safety and efficacy of biosimilar drugs should be obtained from real world clinical practice.

Study on the Classification, Causality, Preventability and Severity of Adverse Drug Reaction Using Spontaneous Reporting System in Hospitalized Patients

Hospital-based adverse drug reaction (ADR) monitoring and reporting programs intend to identify and quantify the risks associated with the use of medicines. To examine the causality, preventability and severity of ADR in a hospital setting; a prospective cohort study on spontaneous ADR reporting was conducted from December 2015 to May 2016. Incidence of ADRs, causality, type, severity and preventability were assessed using necessary assessment scales. The study included 3157 hospitalized individuals, in whom 51 ADRs were detected among 49 patients. The overall incidence of suspected ADRs was found to be 1.6%. According to the causality assessment, most of the ADRs reported were probable (n = 26, 51.0%), and type A (augmented/pharmacological) reactions (n = 39, 76%) were the most common type of ADR found. The majority of ADRs were moderate to severe (n = 35, 68.6%), of which 37.3% were found to be potentially preventable. Predictability was observed in 28 (54.9%) reported ADRs. The prescribed medicines most frequently associated with ADRs were antibiotics, antiepileptics and antihypertensives. This feasibility study was able to highlight the clinical pharmacist's role in ADR monitoring service and create awareness about the way it could be done to promote safer medication use. Similar ADR reporting programs are necessary to educate and to improve awareness among healthcare professionals in some countries.

Did the New Italian Law on Mandatory Vaccines Affect Adverse Event Following Immunization's Reporting? A Pharmacovigilance Study in Southern Italy

Despite the well-recognized role of vaccines, coverage is far from optimal especially in children, representing a growing concern also in Italy. In order to reverse this emergency, the Italian Ministry approved in July 2017 the Law 119/2017, which renders mandatory and free of charge 10 vaccinations for patients aged 0–16. We aim to investigate the effects of the new Law 119/2017 on the reporting of adverse events following immunization related to mandatory vaccines into the Italian Pharmacovigilance database (Rete Nazionale di Farmacovigilanza – RNF). Therefore, we analyzed the spontaneous reports of suspected adverse events following immunization recorded in Campania Region (South of Italy) from December 1, 2016, to March 31, 2018. During the study period, 69 reports, covering 179 AEFIs, related to mandatory vaccines were sent to Campania Pharmacovigilance Regional Center. A substantial increase in AEFIs reporting was observed after the adoption of Law 119/2017. Out of 69 reports, 62% reported AEFIs that were considered as not serious and 78% had a favorable outcome. Out of 179 AEFIs, more than half referred to the following SOC: “general disorders and administration site conditions,” “nervous system disorders,” and “psychiatric disorders.” The highest number of reports came from patient/citizen. After the adoption of the Law 119/2017, there was an increase in the number of reports (18 before the adoption of the Law vs. 51 after). According to reported AEFIs during the entire period, no worrying safety data have emerged. In our opinion, the increase in the number of AEFIs’ reports should be related to the increase in vaccination coverage as well as to the intense debate that has followed the new Law. In this context, the continuous monitoring of vaccine safety and the fully implementation of vaccine–vigilance programs play a key role in achieving higher confidence in immunization programs and optimal vaccination coverage rate.

[Evaluation of the Association between Topical Prostaglandin F2α Analogs and Asthma Using the JADER Database: Comparison with β-Blockers]

　Prostaglandin F2α (PGF2α) analog formulations are the most commonly used drugs for glaucoma treatment. They are known to be superior to β-blockers for reducing intraocular pressure and can be effective all through the day. Because of the action, topical β-blockers are contraindicated for patients with bronchial asthma. PGF2α is also known to act as a constrictor of the respiratory tract. The present study aims to analyze the relationship between PGF2α analogs and asthma. In addition, we utilized β-blockers and combined formulations of both contents to evaluate for comparison with PGF2α analogs. Data from Japanese adverse drug event reports (JADERs) from April 2004 to January 2016 were used for analysis. The drugs of interest were 4 PGF2α analogs, 4 β-blockers, and 2 combined formulations of both. For quantitative signal detection, the reporting odds ratios (RORs) with Haldane-Anscombe 1/2 correction were calculated. The corrected RORs (95%CI) were detected to be 4.73 (2.30-9.75) for PGF2α analogs, 4.61 (1.82-11.7) for β-blockers, and 28.7 (12.1-68.1) for combined formulations. Our results suggest that not only topical β-blockers but also PGF2α analogs are associated with asthma, and the combined formulations have stronger associations with asthma than when administered alone. Therefore, further clinical research will be necessary, and careful attention should be paid to any glaucoma patient using PGF2α analogs for asthma symptoms.

Safety of Antiplatelet Agents: Analysis of 'Real-World' Data from the Italian National Pharmacovigilance Network

Introduction

According to the Italian National Report on drug use, thienopyridines (ticlopidine, clopidogrel and prasugrel) and ticagrelor represent the most prescribed antiplatelet agents, beside aspirin. The aim of this study was to analyse the safety profile of these drugs using data from spontaneous reporting of suspected adverse reactions (ADRs).

Methods

Suspected ADRs for ticlopidine, clopidogrel, prasugrel and ticagrelor, reported on the Italian National Pharmacovigilance Network between January 2009 and December 2016, were included in the analysis. All suspected ADRs were classified by frequency, seriousness, outcome, age and system organ class.

Results

Clopidogrel showed the highest absolute number of suspected ADRs, followed by ticlopidine. However, these data need to be contextualized in view of the differences in marketing authorization dates, prescription rates and a characterization of the relative seriousness of ADRs per each drug. After the correction for prescription rate, ticagrelor showed the highest reporting trend and ticlopidine the lowest. Most ADRs occurred in the elderly, in particular for ticlopidine. Bleeding represents one of the most reported events (ticlopidine 40%, clopidogrel 26%, prasugrel 42%, ticagrelor 30%) and aspirin was the most frequently associated suspected drug. The majority of ADRs had complete recovery and were non-serious, except for ticlopidine (serious ADRs 53%). Prasugrel showed the highest percentage of ‘life-threatening’ events and ‘death’.

Conclusions

Based on the analysis conducted on spontaneous ADRs reporting system in Italy, the safety profile of antiplatelet drugs seems favourable. However, the overall risk-benefit ratio of these drugs needs to be reassessed taking into account the appropriateness of use in particular populations at risk, such as the elderly. Based on this information, we believe that more attention from clinicians and/or an implementation of regulatory measures could be useful for clinical practice.

Frequent discussion of insomnia and weight gain with glucocorticoid therapy: An analysis of Twitter posts

In recent years, social media websites have been suggested as a novel, vast source of data which may be useful for deriving drug safety information. Despite this, there are few published reports of drug safety profiles derived in this way. The aims of this study were to detect and quantify glucocorticoid-related adverse events using a computerised system for automated detection of suspected adverse drug reactions (ADR) from narrative text in Twitter, and to compare the frequency of specific ADR mentions within Twitter to the frequency and patterns of spontaneous ADR reporting to a national drug regulatory body. Of 159,297 tweets mentioning either prednisolone or prednisone between 1st October 2012 and 30th June 2015, 20,206 tweets were deemed to contain information resembling an ADR. The top AE MedDRA® Preferred Terms were ‘insomnia’ and ‘weight increased’, both recognised non-serious but common side effects. These were proportionally over-reported in Twitter when compared to spontaneous reports in the UK regulator’s ADR reporting scheme. Serious glucocorticoid related AEs were reported less frequently. Pharmacovigilance using Twitter data has the potential to be a valuable, supplementary source of drug safety information. In particular, it can illustrate which drug side effects patients discuss most commonly, potentially because of important impacts on quality of life. This information could help clinicians to inform patients about frequent and relevant non-serious side effects as well as more serious side effects.

Patients on steroid drugs often complain of insomnia and weight gain on Twitter, offering a window into commonly experienced side effects. William Dixon from the University of Manchester, UK, and colleagues searched for mentions of either prednisolone or prednisone on Twitter between October 2012 and June 2015. They documented around 20,000 tweets on the social media platform that contained discussion of an adverse drug reaction. The top side effects cited were “insomnia” and “weight increased”, both of which constituted a larger proportion of total steroid-related complaints on Twitter than in the official UK regulator’s reporting scheme. Serious side effects were mentioned less frequently on Twitter. The findings show the power of social media data to identify the side effects impacting quality of life among patients.

Relevance of the Weber effect in contemporary pharmacovigilance of oncology drugs

Background

Numerous reporting biases have been known to affect spontaneous reporting databases. The Weber effect, which constitutes a peak in adverse event (AE) reporting of a drug at the end of second year after regulatory approval followed by a continuous decline thereafter, has been considered an important bias for a long time. The existence of this bias in AE reporting of oncology drugs remains an underevaluated area, prompting a targeted examination.

Methods

The US Food and Drug Administration (USFDA) Adverse Event Reporting System (FAERS) was studied for AE reporting patterns of 5 years of 15 new molecular entities (NMEs) and biologics used in oncology. This 5-year period started from the USFDA date of approval for the NMEs and biologics. The number of AEs reported for each of the drugs was plotted against time (years). The AE reporting patterns were specifically examined for the existence of the Weber effect. In addition, AE reporting rate patterns of 5 years of seven NMEs and biologics used in oncology were examined.

Results

A total of 50,630 AE reports were logged in to the FAERS for all 15 drugs examined for AE reporting patterns. We observed five distinct AE reporting patterns for 15 drugs; however, none of the AE patterns were identical to the Weber effect. We did not observe a consistent AE reporting rate pattern for the seven drugs examined for AE reporting rates. With the exception of one drug (cetuximab), none of the drugs exhibited a second-year peak in AE reporting rates. This peak was not followed by continuous decline in AE reporting rate thereafter.

Conclusion

This study does not support the existence of the Weber effect in AE reporting of oncology drugs. The contemporary AE reporting of oncology drugs does not exhibit a consistent pattern.

The key role of clinical and community health nurses in pharmacovigilance

PURPOSE

The reporting of suspected adverse drug reactions (ADRs) is starting to become routine to nurses. The aim of this review is to underline the role of clinical and community health nurses in pharmacovigilance and to promote their effective participation in ADR reporting in different countries and for patients of different ages.

METHODS

The PubMed, Scopus and ISI Web of Science databases were searched for research articles published between January 1985 and April 2017 using the search items "pharmacovigilance" AND "nurse;" "adverse drug reaction report" AND "nurse;" "community health nurse" AND "adverse drug reaction."

RESULTS

A total of 987 articles were identified using our search strategy, of which 180 articles remained over after the removal of duplicate articles. Of these 180 studies, upon full review we identified 24 which met the inclusion/exclusion criteria and included these in our review. ADR reports by clinical nurses in some countries are comparable in quality and number to those submitted by physicians or pharmacists. Data on ADRs reported by community nurses are currently not available. However, numerous publications emphasized the challenges faced by nurses in reporting ADRs and the need to include pharmacovigilance training in both clinical and community health nurse academic education.

CONCLUSIONS

Nurses are central actors in pharmacovigilance activities, particularly in identifying ADRs which remain outside the reach of other healthcare providers and in being fundamental to the preservation of the health of patients and of the entire community, with attention to the more vulnerable patients, such as children and the elderly.

Veterinary pharmacovigilance in Europe: a survey of veterinary practitioners

A web-based survey was conducted by the Federation of Veterinarians of Europe with the support of the European Medicines Agency to gain a better insight into the adverse event reporting habits of veterinary practitioners and the level of information on reported adverse events that flows back to them. It was completed by 3545 veterinarians. The findings indicate marked under-reporting and that the system is poorly equipped to deal with lack of expected efficacy, with few cases reported and most found to be inconclusive. It was also found that feedback systems are greatly lacking. In order to increase spontaneous reporting, there is a need to make reporting easier (eg, by developing mobile apps, to incorporate the reporting into the practice management system software) and to make veterinarians better aware of the importance of reporting and the added value it may bring. Feedback systems should be improved. The best way to motivate reporters is to demonstrate that the reports they submit are indeed useful and contribute to the improved use of veterinary medicinal products. The major role veterinarians can play in improving animal health, welfare and public health by reporting adverse events needs to be further promoted.

Predicting drug-induced liver injury: The importance of data curation

Drug-induced liver injury (DILI) is a major issue for both patients and pharmaceutical industry due to insufficient means of prevention/prediction. In the current work we present a 2-class classification model for DILI, generated with Random Forest and 2D molecular descriptors on a dataset of 966 compounds. In addition, predicted transporter inhibition profiles were also included into the models. The initially compiled dataset of 1773 compounds was reduced via a 2-step approach to 966 compounds, resulting in a significant increase (p-value < 0.05) in model performance. The models have been validated via 10-fold cross-validation and against three external test sets of 921, 341 and 96 compounds, respectively. The final model showed an accuracy of 64% (AUC 68%) for 10-fold cross-validation (average of 50 iterations) and comparable values for two test sets (AUC 59%, 71% and 66%, respectively). In the study we also examined whether the predictions of our in-house transporter inhibition models for BSEP, BCRP, P-glycoprotein, and OATP1B1 and 1B3 contributed in improvement of the DILI mode. Finally, the model was implemented with open-source 2D RDKit descriptors in order to be provided to the community as a Python script.