Adopting STOPP/START Criteria Version 3 in Clinical Practice: A Q&A Guide for Healthcare Professionals.

The growing complexity of geriatric pharmacotherapy necessitates effective tools for mitigating the risks associated with polypharmacy. The Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP)/Screening Tool to Alert doctors to Right Treatment (START) criteria have been instrumental in optimizing medication management among older adults. Despite their large adoption for improving the reduction of potentially inappropriate medications (PIM) and patient outcomes, the implementation of STOPP/START criteria faces notable challenges. The extensive number of criteria in the latest version and time constraints in primary care pose practical difficulties, particularly in settings with a high number of older patients. This paper critically evaluates the challenges and evolving implications of applying the third version of the STOPP/START criteria across various clinical settings, focusing on the European healthcare context. Utilizing a "Questions & Answers" format, it examines the criteria's implementation and discusses relevant suitability and potential adaptations to address the diverse needs of different clinical environments. By emphasizing these aspects, this paper aims to contribute to the ongoing discourse on enhancing medication safety and efficacy in the geriatric population, and to promote more person-centred care in an aging society.

The evolving role of disproportionality analysis in pharmacovigilance.

INTRODUCTION: From 2009 to 2015, the IMI PROTECT conducted rigorous studies addressing questions about optimal implementation and significance of disproportionality analyses, leading to the development of Good Signal Detection Practices. The ensuing period witnessed the independent exploration of research paths proposed by IMI PROTECT, accumulating valuable experience and insights that have yet to be seamlessly integrated. AREAS COVERED: This state-of-the-art review integrates IMI PROTECT recommendations with recent acquisitions and evolving challenges. It deals with defining the object of study, disproportionality methods, subgrouping, masking, drug-drug interaction, duplication, expectedness, the debated use of disproportionality results as risk measures, integration with other types of data. EXPERT OPINION: Despite the ongoing skepticism regarding the usefulness of disproportionality analyses and individual case safety reports, their ability to timely detect safety signals regarding rare and unpredictable adverse reactions remains unparalleled. Moreover, recent exploration into their potential for characterizing safety signals revealed valuable insights concerning potential risk factors and the patient's perspective. To fully realize their potential beyond hypothesis generation and achieve a comprehensive evidence synthesis with other kinds of data and studies, each with their unique limitations and contributions, we need to investigate methods for more transparently communicating disproportionality results and mapping and addressing pharmacovigilance biases.

The Reporting of a Disproportionality Analysis for Drug Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Development and Statement.

BACKGROUND AND AIM: Disproportionality analyses using reports of suspected adverse drug reactions are the most commonly used quantitative methods for detecting safety signals in pharmacovigilance. However, their methods and results are generally poorly reported in published articles and existing guidelines do not capture the specific features of disproportionality analyses. We here describe the development of a guideline (REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance [READUS-PV]) for reporting the results of disproportionality analyses in articles and abstracts. METHODS: We established a group of 34 international experts from universities, the pharmaceutical industry, and regulatory agencies, with expertise in pharmacovigilance, disproportionality analyses, and assessment of safety signals. We followed a three-step process to develop the checklist: (1) an open-text survey to generate a first list of items; (2) an online Delphi method to select and rephrase the most important items; (3) a final online consensus meeting. RESULTS: Among the panel members, 33 experts responded to round 1 and 30 to round 2 of the Delphi and 25 participated to the consensus meeting. Overall, 60 recommendations for the main body of the manuscript and 13 recommendations for the abstracts were retained by participants after the Delphi method. After merging of some items together and the online consensus meeting, the READUS-PV guidelines comprise a checklist of 32 recommendations, in 14 items, for the reporting of disproportionality analyses in the main body text and four items, comprising 12 recommendations, for abstracts. CONCLUSIONS: The READUS-PV guidelines will support authors, editors, peer-reviewers, and users of disproportionality analyses using individual case safety report databases. Adopting these guidelines will lead to more transparent, comprehensive, and accurate reporting and interpretation of disproportionality analyses, facilitating the integration with other sources of evidence.

The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration.

In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous reporting, and carries the risk of incorrect conclusions when data are not placed in the correct context. The REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance (READUS-PV) statement was developed to address this issue by promoting transparent and comprehensive reporting of disproportionality studies. While the statement paper explains in greater detail the procedure followed to develop these guidelines, with this explanation paper we present the 14 items retained for READUS-PV guidelines, together with an in-depth explanation of their rationale and bullet points to illustrate their practical implementation. Our primary objective is to foster the adoption of the READUS-PV guidelines among authors, editors, peer reviewers, and readers of disproportionality analyses. Enhancing transparency, completeness, and accuracy of reporting, as well as proper interpretation of their results, READUS-PV guidelines will ultimately facilitate evidence-based decision making in pharmacovigilance.

The prevalence of polypharmacy in older Europeans: A multi-national database study of general practitioner prescribing.

AIMS: The aims of this study were to measure the prevalence of polypharmacy and describe the prescribing of selected medications known for overuse in older people with polypharmacy in primary care. METHODS: This was a multinational retrospective cohort study across six countries: Belgium, France, Germany, Italy, Spain and the UK. We used anonymized longitudinal patient-level information from general practice databases hosted by IQVIA. Patients ≥65 years were included. Polypharmacy was defined as having 5-9 and ≥10 distinct drug classes (ATC Level 3) prescribed during a 6-month period. Selected medications were: opioids, antipsychotics, proton pump inhibitors (PPI), benzodiazepines (ATC Level 5). We included country experts on the healthcare context to interpret findings. RESULTS: Age and gender distribution was similar across the six countries (mean age 75-76 years; 54-56% female). The prevalence of polypharmacy of 5-9 drugs was 22.8% (UK) to 58.3% (Germany); ≥10 drugs from 11.3% (UK) to 28.5% (Germany). In the polypharmacy population prescribed ≥5 drugs, opioid prescribing ranged from 11.5% (France) to 27.5% (Spain). Prescribing of PPI was highest with almost half of patients receiving a PPI, 42.3% (Germany) to 65.5% (Spain). Benzodiazepine prescribing showed a marked variation between countries, 2.7% (UK) to 34.9% (Spain). The healthcare context information explained possible underreporting for selected medications. CONCLUSIONS: We have found a high prevalence of polypharmacy with more than half of the older population being prescribed ≥5 drugs in four of the six countries. Whilst polypharmacy may be appropriate in many patients, worryingly high usage of PPIs and benzodiazepines supports current efforts to improve polypharmacy management across Europe.

Learning of clinical pharmacology by future prescribers in Bologna: Teachers' and students' reflections on the way forward.

AIMS: In this reflection paper, the authors, based on their experience as teachers and students of the courses of Pharmacology at the University of Bologna, reflect on their specific roles towards innovation in the teaching of Clinical Pharmacology. METHODS: Strengths, weaknesses and challenges are presented as identified during the teaching and learning experience in the currently evolving medical degree programmes of the University in light of current trends in medical education. RESULTS: Keeping in mind the identified challenges together with the features proposed for the model prescriber (knowledgeable, contemporary, communicative and safe), we indicate some ways to improve the students' experience and make sure they develop up-to-date skills in Clinical Pharmacology taking advantage of recent ongoing collaborations at European level. International collaboration is indeed necessary to adequately address the current challenges of teaching clinical pharmacology. CONCLUSION: Our shared conclusion is that empowering students with a scientifically sound method to retrieve relevant information and developing their skills to communicate in an interprofessional and, wherever possible, international environment is the key to prepare future prescribers and, ultimately, to improve patient safety.

Enhancing Transparency in Defining Studied Drugs: The Open-Source Living DiAna Dictionary for Standardizing Drug Names in the FAERS.

INTRODUCTION: In refining drug safety signals, defining the object of study is crucial. While research has explored the effect of different event definitions, drug definition is often overlooked. The US FDA Adverse Event Reporting System (FAERS) records drug names as free text, necessitating mapping to active ingredients. Although pre-mapped databases exist, the subjectivity and lack of transparency of the mapping process lead to a loss of control over the object of study. OBJECTIVE: We implemented the DiAna dictionary, systematically mapping individual free-text instances to their corresponding active ingredients and linking them to the World Health Organization Anatomical Therapeutic Chemical (WHO-ATC) classification. METHODS: We retrieved all drug names reported to the FAERS (2004-December 2022). Using existing vocabularies and string editing, we automatically mapped free text to ingredients. We manually revised the mapping and linked it to the ATC classification. RESULTS: We retrieved 18,151,842 reports, with 74,143,411 drug entries. We manually checked the first 14,832 terms, up to terms occurring over 200 times (96.88% of total drug entries), to 6282 unique active ingredients. Automatic unchecked translations extend the standardization to 346,854 terms (98.94%). The DiAna dictionary showed a higher sensitivity compared with RxNorm alone, particularly for specific drugs (e.g., rimegepant, adapalene, drospirenone, umeclidinium). The most prominent drug classes in the FAERS were immunomodulating (37.40%) and neurologic drugs (29.19%). CONCLUSION: The DiAna dictionary, as a dynamic open-source tool, provides transparency and flexibility, enabling researchers to actively shape drug definitions during the mapping phase. This empowerment enhances accuracy, reproducibility, and interpretability of results.

Mapping Strategies to Assess and Increase the Validity of Published Disproportionality Signals: A Meta-Research Study.

BACKGROUND AND AIM: Disproportionality analysis is traditionally used in spontaneous reporting systems to generate working hypotheses about potential adverse drug reactions: the so-called disproportionality signals. We aim to map the methods used by researchers to assess and increase the validity of their published disproportionality signals. METHODS: From a systematic literature search of published disproportionality analyses up until 1 January 2020, we randomly selected and analyzed 100 studies. We considered five domains: (1) rationale for the study, (2) design of disproportionality analyses, (3) case-by-case assessment, (4) use of complementary data sources, and (5) contextualization of the results within existing evidence. RESULTS: Among the articles, multiple strategies were adopted to assess and enhance the results validity. The rationale, in 95 articles, was explicitly referred to the accrued evidence, mostly observational data (n = 46) and regulatory documents (n = 45). A statistical adjustment was performed in 34 studies, and specific strategies to correct for biases were implemented in 33 studies. A case-by-case assessment was complementarily performed in 35 studies, most often by investigating temporal plausibility (n = 26). Complementary data sources were used in 25 articles. In 78 articles, results were contextualized using accrued evidence from the literature and regulatory documents, the most important sources being observational (n = 45), other disproportionalities (n = 37), and case reports (n = 36). CONCLUSIONS: This meta-research study highlighted the heterogeneity in methods and strategies used by researchers to assess the validity of disproportionality signals. Mapping these strategies is a first step towards testing their utility in different scenarios and developing guidelines for designing future disproportionality analysis.

Identifying Medications Underlying Communication Atypicalities in Psychotic and Affective Disorders: A Pharmacovigilance Study Within the FDA Adverse Event Reporting System.

PURPOSE: Communication atypicalities are considered promising markers of a broad range of clinical conditions. However, little is known about the mechanisms and confounders underlying them. Medications might have a crucial, relatively unknown role both as potential confounders and offering an insight on the mechanisms at work. The integration of regulatory documents with disproportionality analyses provides a more comprehensive picture to account for in future investigations of communication-related markers. The aim of this study was to identify a list of drugs potentially associated with communicative atypicalities within psychotic and affective disorders. METHOD: We developed a query using the Medical Dictionary for Regulatory Activities to search for communicative atypicalities within the FDA Adverse Event Reporting System (updated June 2021). A Bonferroni-corrected disproportionality analysis (reporting odds ratio) was separately performed on spontaneous reports involving psychotic, affective, and non-neuropsychiatric disorders, to account for the confounding role of different underlying conditions. Drug-adverse event associations not already reported in the Side Effect Resource database of labeled adverse drug reactions (unexpected) were subjected to further robustness analyses to account for expected biases. RESULTS: A list of 291 expected and 91 unexpected potential confounding medications was identified, including drugs that may irritate (inhalants) or desiccate (anticholinergics) the larynx, impair speech motor control (antipsychotics), or induce nodules (acitretin) or necrosis (vascular endothelial growth factor receptor inhibitors) on vocal cords; sedatives and stimulants; neurotoxic agents (anti-infectives); and agents acting on neurotransmitter pathways (dopamine agonists). CONCLUSIONS: We provide a list of medications to account for in future studies of communication-related markers in affective and psychotic disorders. The current test case illustrates rigorous procedures for digital phenotyping, and the methodological tools implemented for large-scale disproportionality analyses can be considered a road map for investigations of communication-related markers in other clinical populations. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.23721345.

[Interactions between drugs, environment and health: a new challenge for epidemiology.] / Interazioni tra farmaci, ambiente e salute: una nuova sfida per l'epidemiologia.

Traditionally, the effects of drugs and of environmental factors on health have been studied independently. Recently, several research groups have started to broaden the view and consider potential overlaps and interactions between environmental exposures and drug use. In Italy, regardless the strong competencies in environmental and pharmaco-epidemiology and the availability of detailed data, to date research in the fields of pharmacoepidemiology and environmental epidemiology is mainly being conducted in silos, but time has come to dedicate attention to possible convergence and integration between the two disciplines. The present contribution aims at introducing the topic and highlighting potential for opportunities in research by illustrating some examples.

The environmental impact of pharmaceuticals in Italy: Integrating healthcare and eco-toxicological data to assess and potentially mitigate their diffusion to water supplies.

Pharmaceuticals can reach the environment at all stages of their lifecycle and accumulate in the ecosystem, potentially reaching toxic levels for animals and plants. In recent years, efforts have been made to map and control this hazard. Assessing country-specific environmental risks could drive regulatory actions towards eco-friendlier drug utilization and disposal practices. By starting from a list of 25 environmentally hazardous pharmaceuticals developed by Region Stockholm, we integrated eco-toxicological and 2019-2021 Italian drug utilization data to estimate the environmental impact of pharmaceuticals in Italy. We calculated the risk as the ratio between the predicted environmental concentration (PEC) and the predicted no-effect concentration (PNEC). We found a high risk for levonorgestrel, ciprofloxacin, amoxicillin, azithromycin, venlafaxine, sertraline and diclofenac and a moderate risk for ethinyloestradiol, oestradiol and clarithromycin. This analysis can be periodically performed to identify the pharmaceuticals with the highest risk for the environment and ascertain if containment measures should be implemented.

Impact of regulatory restrictions on the use of valproic acid in women of childbearing age: An Italian study.

OBJECTIVE: Due to significant risks to the offspring after intrauterine exposure, the European Medicines Agency issued recommendations in 2014 and 2018 restricting the use of valproate (VPA) in women of childbearing age (WOCA). We aimed to evaluate their impact in the Emilia-Romagna region (ERR) of Northern Italy. METHODS: Using administrative databases, we identified all the ERR residents who received antiseizure medication (ASM) prescriptions from 2010 to 2020. Time series of incidence rates by sex and age group were evaluated for all ASMs. Focusing on VPA, an interrupted time series analysis was applied to assess the impact of the restrictions in WOCA with epilepsy (WOCA-E) and WOCA with psychiatric disorders (WOCA-P). We then evaluated the chronological order of ASM prescriptions with regard to the position of VPA. RESULTS: Incidence rates of VPA prescriptions overall decreased over time. A significant decrease was observed only for females. The effect was stronger for WOCA, after both the first (incidence rate ratio [IRR] = .85, 95% confidence interval [CI] = .75-.96) and the second restriction (IRR = .67, 95% CI = .55-.82). The decrease was significant after the second restriction both for WOCA-E (IRR = .43, 95% CI = .27-.68) and for WOCA-P (IRR = .49, 95% CI = .35-.70), as well as VPA as a first prescription in both populations. VPA prescriptions as further choice did not show the same trend. SIGNIFICANCE: After the regulatory restrictions, an overall significant decline in the use of VPA in WOCA was observed in ERR. The second restriction has been effective in consolidating the prescription trend. However, VPA appears still to be a commonly used drug in WOCA when other ASMs have failed.

Deliberate Self-Poisoning: Real-Time Characterization of Suicidal Habits and Toxidromes in the Food and Drug Administration Adverse Event Reporting System.

INTRODUCTION: Deliberate self-poisoning (DSP) using drugs is the preferred method of suicide at a global level. Its investigation is hampered by limited sample sizes and data reliability. We investigate the role of the US FDA Adverse Event Reporting System (FAERS), a consolidated pharmacovigilance database, in outlining DSP habits and toxidromes. METHODS: We retrieved cases of 'intentional overdose' and 'poisoning deliberate' from the FAERS (January 2004-December 2021). Using descriptive and disproportionality analyses, we estimated temporal trends, potential risk factors, toxidromes, case-fatality rates and lethal doses (LDs) for the most frequently reported drugs. RESULTS: We retrieved 42,103 DSP cases (17% fatal). Most cases were submitted in winter. Reports of DSP involved younger people, psychiatric conditions, and alcohol use, compared with non-DSP, and fatality was higher in men and older patients. Suspected drugs were mainly antidepressants, analgesics, and antipsychotics. Multiple drug intake was recorded in more than 50% of the reports, especially analgesics, psychotropics, and cardiovascular agents. The most frequently reported drugs were paracetamol, promethazine, amlodipine, quetiapine, and metformin. We estimated LD25 for paracetamol (150 g). CONCLUSION: Worldwide coverage of the FAERS complements existing knowledge about DSP and may drive tailored prevention measures to timely address the DSP phenomenon and prevent intentional suicides.

Exploring the underlying mechanisms of drug-induced impulse control disorders: a pharmacovigilance-pharmacodynamic study.

INTRODUCTION: Impulse control disorders (e.g. pathological gambling, hypersexuality) may develop as adverse reactions to drugs. Pathogenetic hypotheses have mainly focused on D3-receptor agonism, and switching to alternatives with different pharmacologic mechanisms represents a common management strategy. Nonetheless, treatment failure is common and gaining pathophysiological insights is needed. AIM: We aimed to identify targets potentially contributing to pathologic impulsivity. METHOD: We performed a pharmacovigilance-pharmacodynamic study on dopamine agonists and antipsychotics using the Food and Drug Administration Adverse Event Reporting System (January 2004-December 2021). We estimated disproportionate reporting using the Bayesian information component. Using online public databases (IUPHAR, ChEMBL, PDSP, DrugBank), we calculated drug occupancies. To identify the targets potentially contributing to impulsivity, we fitted univariate regression models interpolating information components and occupancies within dopamine agonists and antipsychotics. Sensitivity analyses were performed to check for the robustness of the results. RESULTS: Among 19 887 reports of impulsivity, 5898 recorded an antipsychotic, and 3100 a dopamine agonist. The more robust signals concerned aripiprazole (N = 3091; median information component [95% confidence interval] = 4.51[4.45-4.55]) and brexpiprazole (229; 4.00[3.78-4.16]) for antipsychotics, pergolide (105; 5.82[5.50-6.06]) and pramipexole (2009; 5.43[5.36-5.48]) for dopamine agonists. Robust, significant positive associations between drug occupancy and impulsivity reporting were found for D3 within dopamine agonists (beta = 1.52; P-value = 0.047) and 5-HT1a within antipsychotics (1.92, 0.029). CONCLUSION: Our results supported the role of D3-receptor agonism in inducing impulsivity in dopamine receptor agonists and identified a potential role of 5-HT1a receptor agonism in antipsychotics. Investigating these receptors may drive towards a better management of drug-induced impulsivity.