A description of signals during the first 18 months of the EMA pharmacovigilance risk assessment committee

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.

A Comparison of Signals of Designated Medical Events and Non-designated Medical Events: Results from a Scoping Review

INTRODUCTION AND OBJECTIVE

The European Medicines Agency (EMA) maintains a list of designated medical events (DMEs), events that are inherently serious and are prioritized for signal detection, irrespective of statistical criteria. We have analysed the results of our previously published scoping review to determine whether DME signals differ from those of other adverse events in terms of time to communication and characteristics of supporting reports of suspected adverse drug reactions.

METHODS

For all signals, we obtained the launch year of medicinal products from textbooks or regulatory agencies, extracted the year of the first report in VigiBase and calculated the interval between the first report and communication (time to communication, TTC). We further retrieved the average completeness (via vigiGrade) of the reports in each case series in the years before the communication. We categorised as DME signals those concerning an event in the EMA's list. We described the two groups of signals using medians and interquartile ranges (IQR) and compared them using the Brunner-Munzel test, calculating 95% confidence intervals (95% CI) and P values.

RESULTS

Of 4520 signals, 919 concerned DMEs and 3601 concerned non-DMEs. Signals of DMEs were supported by a median of 15 reports (IQR 6-38 reports) with a completeness score of 0.52 (IQR 0.43-0.62) and signals of non-DMEs by 20 reports (IQR 6-84 reports) with a completeness score of 0.46 (IQR 0.38-0.56). The probability that a random DME signal was supported by fewer reports than non-DME signals was 0.56 (95% CI 0.54-0.58, P < 0.001) and that of one having lower average completeness was 0.39 (95% CI 0.36-0.41, P < 0.001). The median TTCs of DME and non-DME signals did not differ (10 years), but the TTC was as low as 2 years when signals (irrespective of classification) were supported by reports whose average completeness was > 0.80.

CONCLUSIONS

Signals of designated medical events were supported by fewer reports and higher completeness scores than signals of other adverse events. Although statistically significant, the differences in effect sizes between the two groups were small. This suggests that listing certain adverse events as DMEs is not having the expected effect of encouraging a focus on reports of the types of suspected adverse reactions that deserve special attention. Further enhancing the completeness of the reports of suspected adverse drug reactions supporting signals of designated medical events might shorten their time to communication and reduce the number of reports required to support them.

Supporting Pharmacovigilance Signal Validation and Prioritization with Analyses of Routinely Collected Health Data: Lessons Learned from an EHDEN Network Study

INTRODUCTION

Individual case reports are the main asset in pharmacovigilance signal management. Signal validation is the first stage after signal detection and aims to determine if there is sufficient evidence to justify further assessment. Throughout signal management, a prioritization of signals is continually made. Routinely collected health data can provide relevant contextual information but are primarily used at a later stage in pharmacoepidemiological studies to assess communicated signals.

OBJECTIVE

The aim of this study was to examine the feasibility and utility of analysing routine health data from a multinational distributed network to support signal validation and prioritization and to reflect on key user requirements for these analyses to become an integral part of this process.

METHODS

Statistical signal detection was performed in VigiBase, the WHO global database of individual case safety reports, targeting generic manufacturer drugs and 16 prespecified adverse events. During a 5-day study-a-thon, signal validation and prioritization were performed using information from VigiBase, regulatory documents and the scientific literature alongside descriptive analyses of routine health data from 10 partners of the European Health Data and Evidence Network (EHDEN). Databases included in the study were from the UK, Spain, Norway, the Netherlands and Serbia, capturing records from primary care and/or hospitals.

RESULTS

Ninety-five statistical signals were subjected to signal validation, of which eight were considered for descriptive analyses in the routine health data. Design, execution and interpretation of results from these analyses took up to a few hours for each signal (of which 15-60 minutes were for execution) and informed decisions for five out of eight signals. The impact of insights from the routine health data varied and included possible alternative explanations, potential public health and clinical impact and feasibility of follow-up pharmacoepidemiological studies. Three signals were selected for signal assessment, two of these decisions were supported by insights from the routine health data. Standardization of analytical code, availability of adverse event phenotypes including bridges between different source vocabularies, and governance around the access and use of routine health data were identified as important aspects for future development.

CONCLUSIONS

Analyses of routine health data from a distributed network to support signal validation and prioritization are feasible in the given time limits and can inform decision making. The cost-benefit of integrating these analyses at this stage of signal management requires further research.

Comparative Safety Profiles of Oncology Biosimilars vs. Originators in Europe: An Analysis of the EudraVigilance Database

In the last decades, the clinical management of oncology patients has been transformed by the introduction of biologics. The high costs associated with the development and production of biologics limit patient access to these therapies. The expiration of exclusive patents for biologics has led to the development and market introduction of biosimilars, offering the reduction of costs for cancer treatments. Biosimilars are highly similar to the reference products in terms of structure, biological activity, efficacy, safety, and immunogenicity. Therefore, the monitoring of biosimilars' safety in real-world clinical practice though pharmacovigilance is essential. This study aimed to analyze the post-marketing pharmacovigilance data of biosimilar monoclonal antibodies used in oncology and compare them with respective reference products. Data of a 2-year period (1 January 2021-31 December 2022) were retrieved from EudraVigilance, and descriptive and comparative analysis were performed using the Reporting Odds Ratio to evaluate the distribution of medicine-reaction pairs related to biosimilars of three antitumor biological products and their corresponding reference products: bevacizumab, rituximab, and trastuzumab. The results showed that most frequently reported ADRs for biosimilars were non-serious and consistent with the safety profiles of reference products. These findings provide reassurance regarding safety equivalence of biosimilars and support their use as valid alternatives to originator biologics.

Development of a multivariate prediction model to identify individual case safety reports which require clinical review

BACKGROUND

The number of Individual Case Safety Reports (ICSRs) in pharmacovigilance databases are rapidly increasing world-wide. The majority of ICSRs at the Netherlands Pharmacovigilance Centre Lareb is reviewed manually to identify potential signal triggering reports (PSTR) or ICSRs which need further clinical assessment for other reasons.

OBJECTIVES

To develop a prediction model to identify ICSRs that require clinical review, including PSTRs. Secondly, to identify the most important features of these reports.

METHODS

All ICSRs (n = 30 424) received by Lareb between October 1, 2017 and February 26, 2021 were included. ICSRs originating from marketing authorisation holders and ICSRs reported on vaccines were excluded. The outcome was defined as PSTR (yes/no), where PSTR 'yes' was defined as an ICSR discussed at a signal detection meeting. Nineteen features were included, concerning structured information on: patients, adverse drug reactions (ADR) or drugs. Data were divided into a training (70%) and test set (30%) using a stratified split to maintain the PSTR/no PSTR ratio. Logistic regression, elastic net logistic regression and eXtreme Gradient Boosting models were trained and tuned on a training set. Random down-sampling of negative controls was applied on the training set to adjust for the imbalanced dataset. Final models were evaluated on the test set. Model performances were assessed using the area under the curve (AUC) with 95% confidence interval of a receiver operating characteristic (ROC), and specificity and precision were assessed at a threshold for perfect sensitivity (100%, to not miss any PSTRs). Feature importance plots were inspected and a selection of features was used to re-train and test model performances with fewer features.

RESULTS

1439 (4.7%) of reports were PSTR. All three models performed equally with a highest AUC of 0.75 (0.73-0.77). Despite moderate model performances, specificity (5%) and precision (5%) were low. Most important features were: 'absence of ADR in the Summary of product characteristics', 'ADR reported as serious', 'ADR labelled as an important medical event', 'ADR reported by physician' and 'positive rechallenge'. Model performances were similar when using only nine of the most important features.

CONCLUSIONS

We developed a prediction model with moderate performances to identify PSTRs with nine commonly available features. Optimisation of the model using more ICSR information (e.g., free text fields) to increase model precision is required before implementation.

Surveillance of Antidepressant Safety (SADS): Active Signal Detection of Serious Medical Events Following SSRI and SNRI Initiation Using Big Healthcare Data

Introduction

The current process for generating evidence in pharmacovigilance has several limitations, which often lead to delays in the evaluation of drug-associated risks.

Objectives

In this study, we proposed and tested a near real-time epidemiological surveillance system using sequential, cumulative analyses focusing on the detection and preliminary risk quantification of potential safety signals following initiation of selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs).

Methods

We emulated an active surveillance system in an historical setting by conducting repeated annual cohort studies using nationwide Danish healthcare data (1996–2016). Outcomes were selected from the European Medicines Agency's Designated Medical Event list, summaries of product characteristics, and the literature. We followed patients for a maximum of 6 months from treatment initiation to the event of interest or censoring. We performed Cox regression analyses adjusted for standard sets of covariates. Potential safety signals were visualized using heat maps and cumulative hazard ratio (HR) plots over time.

Results

In the total study population, 969,667 new users were included and followed for 461,506 person-years. We detected potential safety signals with incidence rates as low as 0.9 per 10,000 person-years. Having eight different exposure drugs and 51 medical events, we identified 31 unique combinations of potential safety signals with a positive association to the event of interest in the exposed group. We proposed that these signals were designated for further evaluation once they appeared in a prospective setting. In total, 21 (67.7%) of these were not present in the current summaries of product characteristics.

Conclusion

The study demonstrated the feasibility of performing epidemiological surveillance using sequential, cumulative analyses. Larger populations are needed to evaluate rare events and infrequently used antidepressants.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40264-021-01110-x.

Numbers of spontaneous reports: How to use and interpret?

Due to the high intensity of the COVID-19 vaccination campaigns and heightened attention for safety issues, the number of spontaneous reports has surged. In the Netherlands, pharmacovigilance centre Lareb has received more than 100 000 reports on adverse events following immunization (AEFI) associated with Covid-19 vaccination. It is tempting to interpret absolute numbers of reports of AEFIs in signal detection. Signal detection of spontaneously reported adverse drug reactions has its origin in case-by-case analysis, where all case reports are assessed by clinically qualified assessors. The concept of clinical review of cases-even if only a few per country-followed by sharing concerns of suspicions of potential adverse reactions again proved the strength of the system. Disproportionality analysis can be useful in signal identification, and comparing reported cases with expected based on background incidence can be useful to support signal detection. However, they cannot be used without an in-depth analysis of the underlying clinical data and pharmacological mechanism. This in-depth analysis has been performed, and is ongoing, for the signal of vaccine-induced immune thrombotic thrombocytopenia (VITT) in relation to the AstraZeneca and Janssen Covid-19 vaccines. Although not frequency or incidence rates, reporting rates can provide an impression of the occurrence of the event. But the unknown underreporting should also be part of this context. To quantify the incidence rates, follow-up epidemiological studies are needed.

Ocular surface disorders associated with the use of dupilumab based on WHO VigiBase

Dupilumab is a dual inhibitor of interleukin-4 and interleukin-13 and is mainly used to treat moderate-to-severe atopic dermatitis. Post-marketing safety data related to dupilumab have been accumulated, and it has been found that ocular surface diseases are closely associated with dupilumab treatment. The aim of this study was to detect dupilumab-related signals and to determine the safety characteristics of dupilumab with respect to eye disorders using real-world big data. Data on dupilumab use until December 29, 2019 were collected. The data were mined by calculating three indices: proportional reporting ratios, reporting odds ratios, and information components. The detected signals were classified using the primary system organ class in MedDRA terminology. Among 21,161,249 reports for all drugs, 20,548 reports were recorded for dupilumab. A total of 246 signals in the preferred terms were detected for dupilumab. Among the 246 positive signals obtained, 61 signals were related to eye disorders, which accounted for the largest percentage (24.8%), and 38 signals were anatomically related to the ocular surface. Dupilumab may cause extensive eye disorders; however, the underlying mechanisms and risk factors remain unclear. Our findings may facilitate broad safety screening of dupilumab-related eye disorders using real-world big data.

Signals from the Dutch national spontaneous reporting system: Characteristics and regulatory actions

PURPOSE

The aim of the study is to characterise safety signals based on the Dutch spontaneous reporting system (SRS) and to investigate the association between signal characteristics and Product Information (PI) update stratified by approval type: centrally authorised products (CAPs) versus nationally and decentralised authorised products (NAPs).

METHODS

This study evaluates the full cohort of signals disseminated from the Dutch SRS in the period from 2008 to 2017. Each retrieved signal was characterised on a number of aspects. The signal management process from signal generation to a potential PI update was analysed in four steps: (1) signal characterisation; (2) proposed actions by the Dutch national competent authority (NCA) for the signals; (3) presence of PI update (yes/no) and association with signal characteristics; (4) timing from the moment the signal was issued to PI update. For step 1-3 we stratified products in CAPs and NAPs.

RESULTS

Of all signals, 88.7% led to a proposed regulatory action by the NCA. Signals from the Dutch SRS for CAPs versus NAPs more often concerned biologicals, important medical events, class effects and shorter periods since marketing authorization. We detected PI updates for 26.2% of CAP signals and 61.3% of NAP signals.

CONCLUSIONS

The Dutch SRSs remains an important source of signals. There are some notable differences in the characteristics of signals for CAPs versus NAPs. Signals for NAPs more frequently led to PI updates.

Challenges Associated with the Safety Signal Detection Process for Medical Devices

Background

Previous safety issues involving medical devices have stressed the need for better safety signal detection. Various European Union (EU) national competent authorities have started to focus on strengthening the analysis of vigilance data. Consequently, article 90 of the new EU regulation states that the European Commission shall put in place systems and processes to actively monitor medical device safety signals.

Methods

A systematic literature review was conducted to synthesize the current state of knowledge and investigate the present tools used for medical device safety signal detection. An electronic literature search was performed in Embase, Medline, Cochrane, Web of science, and Google scholar from inception until January 2017. Articles that included terms related to medical devices and terms associated with safety were selected. A further selection was based on the abstract review. A full review of the remaining articles was conducted to decide on which articles finally to consider relevant for this review. Completeness was assessed based on the content of the articles.

Results

Our search resulted in a total of 20,819 articles, of which 24 met the inclusion criteria and were subject to data extraction and completeness scoring. A wide range of data sources, especially spontaneous reporting systems and registries, used for the detection and assessment of product problems and patient harms associated with the use of medical devices, were studied. Coding is remarkably heterogeneous, no agreement on the preferred methods for signal detection exists, and no gold standard for signal detection has been established thus far.

Conclusion

Data source harmonization, the development of gold standard signal detection methodologies and the standardization of coding dictionaries are amongst the recommendations to support the implementation of a new proactive approach to signal detection. The new safety surveillance system will be able to use real-world evidence to support regulatory decision-making across all jurisdictions.

Exploratory Study of Signals for Asthma Drugs in Children, Using the EudraVigilance Database of Spontaneous Reports

Introduction

As asthma medications are frequently prescribed for children, knowledge of the safety of these drugs in the paediatric population is important. Although spontaneous reports cannot be used to prove causality of adverse events, they are important in the detection of safety signals.

Objective

Our objective was to provide an overview of adverse drug events associated with asthma medications in children from a spontaneous reports database and to identify new signals.

Methods

Spontaneous reports concerning asthma drugs were obtained from EudraVigilance, the European Medicine Agency’s database for suspected adverse drug reactions. For each drug–event combination, we calculated the proportional reporting ratio (PRR) in the study period 2011–2017. Signals in children (aged 0–17 years) were compared with signals in the whole population. Analyses were repeated for different age categories, by sex and by therapeutic area.

Results

In total, 372,345 reports in children resulted in 385 different signals concerning asthma therapy. The largest group consisted of psychiatric events (65 signals). Only 30 signals were new, with seven, including herpes viral infections, associated with omalizumab. Stratification by age, sex and therapeutic area provided additional new signals, such as hypertrichoses with budesonide and encephalopathies with theophylline. Of all signals in children, 60 (16%) did not appear in the whole population.

Conclusions

The majority of signals regarding asthma therapy in children were already known, but we also identified new signals. We showed that signals can be masked if age stratification is not conducted. Further exploration is needed to investigate the risk and causality of the newly found signals.

Electronic supplementary material

The online version of this article (10.1007/s40264-019-00870-x) contains supplementary material, which is available to authorized users.

The safety of carbamylated monomeric allergoids for sublingual immunotherapy. Data from a pharmacovigilance study

Aim: Sublingual immunotherapy (SLIT) is significantly less concerned by systemic reactions than subcutaneous immunotherapy. Allergoids were introduced to reduce systemic reaction to subcutaneous immunotherapy, but may also be used for SLIT. Methods: This pharmacovigilance study evaluated the post-marketing reports collected in a safety database, including the number and the type (serious or not serious) of adverse drug reactions (ADRs) in Italy by SLIT with the carbamylated monomeric allergoid (CMA). Results: More than 15,000,000 CMA tablets were administered, with 25 spontaneous reports of ADRs, only two being serious. Conclusion: The rate of ADRs to CMA we found in this pharmacovigilance survey, corresponding to 0.0004% of all administered doses, is far lower than the rates commonly reported for allergen SLIT products.

Utilizing Advanced Technologies to Augment Pharmacovigilance Systems: Challenges and Opportunities

There are significant challenges and opportunities in deploying and utilizing advanced information technology (IT) within pharmacovigilance (PV) systems and across the pharmaceutical industry. Various aspects of PV will benefit from automation (e.g., by improving standardization or increasing data quality). Several themes are developed, highlighting the challenges faced, exploring solutions, and assessing the potential for further research. Automation of the workflow for processing of individual case safety reports (ICSRs) is adopted as a use case. This involves a logical progression through a series of steps that when linked together comprise the complete work process required for the effective management of ICSRs. We recognize that the rapid development of new technologies will invariably outpace the regulations applicable to PV systems. Nevertheless, we believe that such systems may be improved by intelligent automation. It is incumbent on the owners of these systems to explore opportunities presented by new technologies with regulators in order to evaluate the applicability, design, deployment, performance, validation and maintenance of advanced technologies to ensure that the PV system continues to be fit for purpose. Proposed approaches to the validation of automated PV systems are presented. A series of definitions and a critical appraisal of important considerations are provided in the form of use cases. We summarize progress made and opportunities for the development of automation of future systems. The overall goal of automation is to provide high quality safety data in the correct format, in context, more quickly, and with less manual effort. This will improve the evidence available for scientific assessment and helps to inform and expedite decisions about the minimization of risks associated with medicines.

Analysis of spontaneous reporting of suspected adverse drug reactions for non-analgesic over-the-counter drugs from 2008 to 2017

BACKGROUND

Adverse drug reaction (ADR) reporting practices by health care professionals remain poor. Over-the-counter (OTC) drugs are perceived as safe; however, they can also cause ADRs. The objective of this study was to analyze ADR reporting for OTC drugs in a 10-year period, in order to evaluate frequency of ADRs, population that ADRs most affect and reporters of ADRs of OTC drugs in Croatia.

METHODS

Spontaneously reported ADRs of non-analgesic OTC drugs, collected from January 2008 to December 2017 were analyzed. Data was obtained from Agency for Medicinal Products and Medical Devices of Croatia (HALMED).

RESULTS

There were 547 ADRs of OTC drugs reported in total and an increase in number of reports through the years was observed. Pharmacists reported 45.4% of all ADRs, and were most frequent reporters (p < 0.001). In 2017 majority of reports, 62 (49.2%), were obtained from consumers. ADRs were most frequently observed in patients aged 70 years and older (15% of ADRs). Five percent of all reports were accidental exposures among children.

CONCLUSIONS

Pharmacists most frequently reported ADRs of OTC drugs and consumers' awareness of ADR reporting has risen. Other health care professionals (e.g., nurses and dentists) must be offered proper education in order to improve reporting practice of ADRs. Health care professionals should address concerns about OTC drug safety in elderly and children.

Characteristics, Quality and Contribution to Signal Detection of Spontaneous Reports of Adverse Drug Reactions Via the WEB-RADR Mobile Application: A Descriptive Cross-Sectional Study

Introduction

Spontaneous reporting of suspected adverse drug reactions is key for efficient post-marketing safety surveillance. To increase usability and accessibility of reporting tools, the Web-Recognising Adverse Drug Reactions (WEB-RADR) consortium developed a smartphone application (app) based on a simplified reporting form.

Objective

The objective of this study was to evaluate the characteristics, quality and contribution to signals of reports submitted via the WEB-RADR app.

Methods

The app was launched in the UK, the Netherlands and Croatia between July 2015 and May 2016. Spontaneous reports submitted until September 2016 with a single reporter were included. For each country, app reports and reports received through conventional means in the same time period were compared to identify characteristic features. A random subset of reports was assessed for clinical quality and completeness. The contribution to signal detection was assessed by a descriptive analysis.

Results

Higher proportions of app reports were submitted by patients in the UK (28 vs. 18%) and Croatia (32 vs. 7%); both p < 0.01. In the Netherlands, the difference was small (60 vs. 57%; p = 0.5). The proportion of female patients and the median patient ages in app reports submitted by patients were similar to the reference. The proportion of reports of at least moderate quality was high in both samples (app: 78–85%, reference: 78–98%), for all countries. App reports contributed to detecting eight potential safety signals at the national level, four of which were eventually signalled.

Conclusion

The WEB-RADR app offers a new route of spontaneous reporting that shows promise in attracting reports from patients and that could become an important tool in the future. Patient demographics are similar to conventional routes, report quality is sufficient despite a simplified reporting form, and app reports show potential in contributing to signal detection.

Electronic supplementary material

The online version of this article (10.1007/s40264-018-0679-6) contains supplementary material, which is available to authorized users.

Surveillance of Drug Safety During Pregnancy: Insight in Current International Activities, Future Intentions and Need for Support of National Pharmacovigilance Centres

INTRODUCTION

Surveillance of drug safety during pregnancy is a special interest of pharmacovigilance (PV). The role that national PV centres take in this field is, however, unclear.

AIM

The aim of this study was to provide insight into current activities, future intentions and need for support of national PV centres in the field of drug safety during pregnancy.

METHOD

A web-based questionnaire was used to ask PV centres about their current activities concerning the surveillance of drug safety during pregnancy, their intentions to implement or improve activities and need for support. For these three main topics, questions were posed about spontaneous adverse drug reaction (ADR) reporting, additional activities to obtain information, signal detection and informing healthcare professionals and the public.

RESULTS

The questionnaire was sent to PV centres of 172 countries. Response was 40%. In general, the PV centres received limited numbers of reports of ADRs in the (unborn) child, related to drug exposure during pregnancy. Signal detection in pregnancy cases is carried out by 8 out of 58 PV centres (13.5%). Most PV centres mention they have intentions to implement or improve activities, mainly for spontaneous reporting (69.4%) and methods for signal detection (67.2%). Support was needed for all topics of the questionnaire.

CONCLUSION

Current activities of national PV centres concerning drug safety during pregnancy are limited. The majority of PV centres are, however, willing to improve or implement activities. Programmes should be set up in order to support and stimulate PV centres with these activities. The aim of all these activities is to increase knowledge about the safety of drugs during pregnancy.

Pharmacovigilance in India in Comparison With the USA and European Union: Challenges and Perspectives

Pharmacovigilance (PV) is an integral part of the drug regulation system. PV plays an indispensable role in the identification, assessment, and publicizing of adverse drug reactions (ADRs) through various methods. ADRs account for serious harm to the patients and even lead to morbidity and mortality. The PV databases help in the promotion of safe drug use and protection of public health safety. This article compares the PV system in the USA, Europe, and India, highlighting the challenges and future perspectives to be adapted to widen the horizon of the existing PV structure in India. In India, PV programs are still at the dawning stage when paralleled to the other countries. The National Pharmacovigilance Program and the Pharmacovigilance Program of India are the most recent advancements in this field in the country. The USA and Europe have well-established PV systems in place thanks to technological progress and other resources. India is the largest producer of pharmaceuticals in the world and a major clinical research hub; hence, it requires a more stringent PV setup. With the increase in population and novel drugs in the market each day, there is a need for an effective PV system in India.

EudraVigilance Medicines Safety Database: Publicly Accessible Data for Research and Public Health Protection

The analysis of safety data from spontaneous reporting systems has a proven value for the detection and analysis of the risks of medicines following their placement on the market and use in medical practice. EudraVigilance is the pharmacovigilance database to manage the collection and analysis of suspected adverse reactions to medicines authorised in the European Economic Area. EudraVigilance first operated in December 2001, with access to the database being governed by the EudraVigilance access policy. We performed a literature search including data up to December 2016 to demonstrate how the data from EudraVigilance has been used in scientific publications. We describe the results, including by type of publication, research topics and drugs involved. In 50% of the publications, the data are used to describe safety issues, in 44% to analyse methodologies used in pharmacovigilance activities and in 6% to support clinical perspectives. We also outline a description of the use of the database by the European Union regulatory network. Driven by the full implementation of the 2010 pharmacovigilance legislation, EudraVigilance has undergone further enhancements together with a major revision of its access policy, taking into account the use of the new individual case safety report standard developed by the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use and the International Organization for Standardization. The aim of the broadened access is to facilitate more effective safety monitoring of authorised medicines, to make more data available for research and to provide better access to information on suspected adverse reactions for healthcare professionals and patients. In November 2017, the new full functionalities of EudraVigilance were launched, including the extensive web access to data on suspected adverse drug reactions and the possibilities for academic research institutions to request a more extensive dataset for the purposes of health research. The main objective of this article is to describe the new access to the database together with the opportunities that this new access can bring for research. It is intended to promote an appropriate use of the data to support the safe and effective use of medicines.

Significance of data mining in routine signal detection: Analysis based on the safety signals identified by the FDA

PURPOSE

Data mining has been introduced as one of the most useful methods for signal detection by spontaneous reports, but data mining is not always effective in detecting all safety issues. To investigate appropriate situations in which data mining is effective in routine signal detection activities, we analyzed the characteristics of signals that the US Food and Drug Administration (FDA) identified from the FDA Adverse Event Reporting System (FAERS).

METHODS

Among the signals that the FDA identified from the FAERS between 2008 1Q and 2014 4Q, we selected 233 signals to evaluate in this study. We conducted a disproportionality analysis and classified these signals into two groups according to the presence or absence of statistical significance in the reporting odds ratio (ROR). Then, we compared the two groups based on the characteristics of the suspected drugs and adverse events (AEs).

RESULTS

Safety signals were most frequently identified for new drugs that had been on the market for less than 5 years, but some signals were still identified for old drugs (≥20 years), and most of them were statistically significant. The proportion of the signals for "serious" events was significantly higher in the group of nonsignals by ROR (Fisher's exact test, P = 0.032).

CONCLUSIONS

Data mining was shown to be effective in the following situations: (1) early detection of safety issues for newly marketed drugs, (2) continuous monitoring of safety issues for old drugs, and (3) signal detection of nonserious AEs, to which little attention is usually given.

New safety signals assessed by the Pharmacovigilance Risk Assessment Committee at EU level in 2014-2017

BACKGROUND

Safety monitoring of all drugs throughout their entire life cycle is mandatory in order to protect the public health. Our objective was to describe all new safety signals assessed at EU level by the Pharmacovigilance Risk Assessment Committee (PRAC).

METHODS

Publicly available data on signals assessment from PRAC meeting minutes for the period January 2014-November 2017 were analyzed and classified.

RESULTS

A total of 239 new signals for 194 drugs/drug combinations/therapeutic classes were evaluated by PRAC. A total of 154 signals were triggered by spontaneous reporting, 31 by literature case reports, and 26 by observational studies. In 188 signals, the drugs involved were authorized for more than 5 years. The drug classes for which most signals were detected were antineoplastic/immunomodulators (n = 75), anti-infectives (n = 34), and drugs acting on the nervous system (n = 27). Signals were triggered for drug interactions (n = 15), in utero exposure (n = 7), medication errors (n = 6), and for different disorders, among which the skin/subcutaneous tissue disorders were more common. PRAC recommendations consisted in label updates (n = 86), in Direct Healthcare Professional Communications (n = 17), and in eight recommendations for a more complex evaluation through referral procedures.

CONCLUSIONS

Most new signals assessed were triggered by spontaneous reporting and led to routine risk minimization measures, such as updating the product information.

Frequent Adverse Drug Reactions, and Medication Groups under Suspicion

BACKGROUND

The adverse drug reaction database of the German Federal Institute for Drugs and Medical Devices (Bundesinstitut für Arzneimittel und Medizinprodukte, BfArM) contains reports of suspected adverse drug reactions (ADRs) that are spon- taneously submitted by physicians, pharmacists, or patients. The aim of the present study was a descriptive analysis of all of these spontaneous reports.

METHODS

345 662 spontaneously submitted reports were analyzed with respect to the number of reports per year, the sources of the reports, demographic variables, the most commonly reported ADRs, and the drug classes most commonly suspected.

RESULTS

The number of reports submitted spontaneously each year has grown steadily since 1978. At the least detailed level of analysis, "drugs for the treatment of nervous system disorders" were the most common class of drugs under suspicion of causing the reported adverse drug reactions (23.1%). In a more detailed analysis by therapeutic subgroup, the three subgroups most commonly reported as suspected of causing side effects were antithrombotic agents, systemic antibiotics, and psycholeptics-causing thrombocytopenia, diarrhea, and drug dependency as the most frequently reported ADRs, respectively. The order of drug classes most commonly causing ADRs differed markedly between the physicians' reports (diazepines, fluoroquinolones, heparins) and the patients' reports (interferons, anti- thrombotic drugs, selective immunosuppressant drugs). Patients more commonly reported subjectively perceived ADRs, while physicians more commonly reported findings or diagnoses that require medical expertise.

CONCLUSION

The increasing number of spontaneous reports is mainly due to reports forwarded from pharmaceutical companies to the BfArM. This, in turn, is probably a result of increasingly strict legal reporting requirements in Germany. The detected differences between physicians' and patients' ADR reports can be taken to indicate that patients should be more specifically informed and questioned about potential ADRs. By reporting adverse drug reactions, physicians may improve drug safety.

Characteristics of drugs safety signals that predict safety related product information update

Purpose

Investigation of drug safety signals is one of the major tasks in pharmacovigilance. Among many potential signals identified, only a few reflect adverse drug reactions requiring regulatory actions, such as product information (PI) update. Limited information is available regarding the signal characteristics that might predict PI update following signal evaluation. The objective of this study was to identify signal characteristics associated with PI updates following signal evaluation by the European Medicines Agency Pharmacovigilance Risk Assessment Committee during 2012 to 2016.

Methods

A comparative study was performed based on data from 172 safety signals. Characteristics of signals were extracted from the European Pharmacovigilance Issues Tracking Tool database. Multivariable logistic regression analysis was used to assess the relationship between signal characteristics and the decision to update the PI.

Results

Multivariable logistic regression analysis showed that the presence of evidence in multiple types of data sources (adjusted odds ratio [OR] 7.8 95% CI [1.5, 40.1]); mechanistic plausibility of the drug‐event association (adjusted OR 3.9 95% CI [1.9, 8.0]); seriousness of the event (adjusted OR 4.2 95% CI [1.3, 13.9]); and age of drugs ≤5 years (adjusted OR 3.9 95% CI [1.2, 12.7]) were associated with the decision to change the PI (P < 0.05).

Conclusions

This study identified 4 characteristics of drug safety signals that have shown to be associated with PI changes as outcome of signal evaluation. These characteristics may be used as criteria for selection and prioritization of potential signals that are more likely to necessitate product information updates.

Promoting and Protecting Public Health: How the European Union Pharmacovigilance System Works

This article provides an overview of the European Union pharmacovigilance system resulting from the rationalisation and strengthening delivered through the implementation of the revised pharmacovigilance legislation. It outlines the system aims, underlying principles, components and drivers for future change. At its core, the Pharmacovigilance Risk Assessment Committee is responsible for assessing all aspects of the risk management of medicinal products, thus ensuring that medicines approved for the European Union market are optimally used by maximising their benefits and minimising risks. The main objectives of the system are to promote and protect public health by supporting the availability of medicines including those that fulfil previously unmet medical needs, and reducing the burden of adverse drug reactions. These are achieved through a proactive, risk proportionate and patient-centred approach, with high levels of transparency and engagement of civil society. In the European Union, pharmacovigilance is now fully integrated into the life cycle of medicinal products, with the planning of pharmacovigilance activities commencing before a medicine is placed on the market, and companies encouraged to start planning very early in development for high-innovation products. After authorisation, information on the safety of medicines continues to be obtained through a variety of sources, including spontaneous reports of adverse drug reactions or monitoring real-world data. Finally, the measurement of the impact of pharmacovigilance activities, auditing and inspections, as well as capacity building ensure that the system undergoes continuous improvement and can always rely on the best methodologies to safeguard public health.

Key pharmacovigilance stakeholders' experiences of direct patient reporting of adverse drug reactions and their prospects of future development in the European Union

OBJECTIVES

In the European Union (EU), legislation allows patients to directly report adverse drug reactions (ADRs) to competent authorities. Five years after its implementation, patient reporting is not equal in all countries. This study aimed to explore key stakeholders' perceptions of patient reporting in four EU countries.

STUDY DESIGN

Qualitative study design.

METHODS

Twelve representatives from national pharmacovigilance centres and/or authorities as well as national pharmaceutical industry bodies in four EU countries participated in the study. Supranational organizations were also included. Data collection was via face-semi-structured interviews. Inductive content analysis was performed thereafter, applying principles of risk management as a theoretical framework.

RESULTS

Four themes (attitudes and beliefs, system maturation factors, regulatory improvements, and cultural shifts) emerged, conceptually interconnected. Participants from countries introducing patient reporting recently expressed a negative attitude. Participants highlighted the need for additional resources, both human and financial, to address patient reporting and associated advantages.

CONCLUSIONS

The findings identified perceived barriers and facilitators of patient reporting. The involvement of patients, use of information, and dissemination of patient reporting are far from optimal. A better integration of the work by EU regulatory authorities is recommended.

Evaluating the Safety Profile of Non-Active Implantable Medical Devices Compared with Medicines

Recent safety issues involving non-active implantable medical devices (NAIMDs) have highlighted the need for better pre-market and post-market evaluation. Some stakeholders have argued that certain features of medicine safety evaluation should also be applied to medical devices. Our objectives were to compare the current processes and methodologies for the assessment of NAIMD safety profiles with those for medicines, identify potential gaps, and make recommendations for the adoption of new methodologies for the ongoing benefit-risk monitoring of these devices throughout their entire life cycle. A literature review served to examine the current tools for the safety evaluation of NAIMDs and those for medicines. We searched MEDLINE using these two categories. We supplemented this search with Google searches using the same key terms used in the MEDLINE search. Using a comparative approach, we summarized the new product design, development cycle (preclinical and clinical phases), and post-market phases for NAIMDs and drugs. We also evaluated and compared the respective processes to integrate and assess safety data during the life cycle of the products, including signal detection, signal management, and subsequent potential regulatory actions. The search identified a gap in NAIMD safety signal generation: no global program exists that collects and analyzes adverse events and product quality issues. Data sources in real-world settings, such as electronic health records, need to be effectively identified and explored as additional sources of safety information, particularly in some areas such as the EU and USA where there are plans to implement the unique device identifier (UDI). The UDI and other initiatives will enable more robust follow-up and assessment of long-term patient outcomes. The safety evaluation system for NAIMDs differs in many ways from those for drugs, but both systems face analogous challenges with respect to monitoring real-world usage. Certain features of the drug safety evaluation process could, if adopted and adapted for NAIMDs, lead to better and more systematic evaluations of the latter.

Patterns of adverse drug reaction signals in NAFDAC Pharmacovigilance activities from September to November, 2014

BACKGROUND

Adverse drug reaction signals are reported information on possible causal relationships between an adverse event and a drug. The National Pharmacovigilance Centre (NPC) in Nigeria has over 3,000 reported adverse drug reaction cases which have been adequately entered into the ADR data bank.

OBJECTIVE

Data mining of ADR reports from September to November, 2014 were carried out in this present study with the intention to describe the pattern of ADRs and generate possible signals.

METHODS

A total of about 100 reported cases with arrays of adverse drug reactions were reported between September and November, 2014 and the data were analyzed using SPSS version 17.

RESULTS

Efavirenz/Tenofovir/Lamivudine combination was the highest reported drugs (24.2%) while efavirenz alone was reported in 8 times (8.8%) and HIV (63.3%) was the highest reported indication of drug use. Efavirenz caused central nervous system adverse reactions as revealed in the ADRs analyses. Zidovudine/Lamivudine/Nevirapine combination in concomitant use with Cotrimoxazole were reported 8 times with generalized maculopapular rashes on the trunk with some area of hyper pigmentation with intense itching documented twice and big/swollen rashes all over the faces. Zidovudine was also reported four times to cause severe anaemia.

CONCLUSION

More surveillance is advocated so as to ascertain the consistency of the observed ADRs and thereafter establish appropriate signals.

A global view of undergraduate education in pharmacovigilance

PURPOSE

The aim of this study was to gain insight in current pharmacovigilance educational activities and to gather information on which topics should be included in the undergraduate pharmacovigilance core curriculum.

METHOD

A web-based questionnaire was carried out containing 45 questions divided over four sections between 28 October 2014 and 31 January 2015. Potential participants working in pharmacovigilance and/or providing training in this field were invited via email and a widespread web link and snowball sampling was used to recruit additional participants.

RESULTS

The questionnaire was filled out by 307 respondents from 88 different countries with a response rate of 29.3% for the email invitation and an unknown rate for the web link. Respondents were mainly pharmacists and physicians. Currently, lectures are the largest proportion of educational activities and all healthcare profession curricula have a mode of 2 h as number of contact hours per course. Respondents rated clinical aspects as the most important subdomain to be included in the core curriculum with prevention of adverse drug reactions as the most important subtopic. This was followed by communication aspects between parties, with communication between regulatory authorities and healthcare professionals, methodological aspects with causality assessment, and regulatory aspects with benefit-risk assessment. This is similar to subjects addressed in current educational activities with little difference between medical and pharmacy curricula.

CONCLUSION

This study gave a good general impression in current educational activities and the respondents' needs and wishes for future activities worldwide, which both will be used for the development of the undergraduate pharmacovigilance core curriculum.

Social Media Monitoring and Adverse Drug Reaction Reporting in Pharmacovigilance: An Overview of the Regulatory Landscape

In the context of the European Union's Innovative Medicines Initiative (IMI) project titled Web-Recognizing Adverse Drug Reactions (WEB-RADR; http://web-radr.eu ), which focuses on the assessment of new data sources and the optimization of the collection of information on suspected adverse reactions in pharmacovigilance, a survey was performed in 182 countries/jurisdictions in 2014 to 2015. The goal was to gather information on existing practices, guidance, and legal requirements on social media monitoring to identify potential safety issues related to medicines. The survey response rate was 100%. The results revealed that 80% of the surveyed countries do not have such necessities despite the fact that 63% of these countries have an established national pharmacovigilance system. Among the countries having an established pharmacovigilance system, only 29% have specific requirements, most countries do have similar provisions as set out in the EU guidelines on Good Pharmacovigilance Practices (GVP). A small subset of countries within the European Economic Area (EEA) have requirements that exceed those stated in GVP, namely, Italy, France, Sweden, and the UK. Outside the EEA, Turkey and the United States have also developed further guidance. The outcome of the survey will inform the development of a future policy framework on the further use of social media as new pharmacovigilance data source in the EEA. In addition, this paper elaborates on some current practical case management issues encountered by companies based on the existing regulatory guidance.

Pharmacovigilance in Europe: Place of the Pharmacovigilance Risk Assessment Committee (PRAC) in organisation and decisional processes

The new European legislation that came into force in July 2012 reinforced the organisation of pharmacovigilance by setting up a committee in charge of risk assessment for medicines, the Pharmacovigilance Risk Assessment Committee (PRAC). The PRAC has a remit covering the assessment of all aspects of the safety and the risk management of medicinal products for human use in the European Union. It deals with issues regarding pharmacovigilance signals, the periodic evaluation of benefit/risk reports from marketing authorization holders (MAH), risk management plans, post-marketing studies, variations or renewals of marketing authorisations, management of under surveillance drugs lists, inspections for pharmacovigilance reasons and audits of pharmacovigilance systems. The PRAC works with the pharmacovigilance systems of the European Member States, which draw up evaluation reports. These evaluations are circulated and discussed by Member States so as to issue recommendations, which serve as a basis for other European medicines committees, the Committee for Medicinal Products for Human Use (CHMP) or the Coordination Group for Mutual Recognition and Decentralised Procedures-Human (CMDh) which then give their opinion. The final decision, which applies to all Member States and to the concerned MAH, lies with the European Commission (EC). This decisional procedure thus rests on coordination involving the PRAC, the CHMP, the CMDh, the EC, the Member States and the pharmaceutical companies. In the 3 years from July 2012, the PRAC has processed nearly 4500 procedures and is still facing an increasing workload.

Large-Scale Predictive Drug Safety: From Structural Alerts to Biological Mechanisms

The recent explosion of data linking drugs, proteins, and pathways with safety events has promoted the development of integrative systems approaches to large-scale predictive drug safety. The added value of such approaches is that, beyond the traditional identification of potentially labile chemical fragments for selected toxicity end points, they have the potential to provide mechanistic insights for a much larger and diverse set of safety events in a statistically sound nonsupervised manner, based on the similarity to drug classes, the interaction with secondary targets, and the interference with biological pathways. The combined identification of chemical and biological hazards enhances our ability to assess the safety risk of bioactive small molecules with higher confidence than that using structural alerts only. We are still a very long way from reliably predicting drug safety, but advances toward gaining a better understanding of the mechanisms leading to adverse outcomes represent a step forward in this direction.