Personalised approaches to reduce risks from Adverse Drug Reactions due to administration of multiple medications

While medicinal products contribute considerably to the health of EU citizens, they can also have adverse reactions. It is estimated that around 5% of all hospital deaths are due to an adverse drug reaction. On average, 16% of hospitalised older patients experience significant ADRs, varying in severity and mostly preventable, with commonly prescribed drug classes (such as diuretics, anti-bacterials, antithrombotic agents, analgesics, antineoplastics, etc.) accounting for most ADRs. Overall, ADRs increase morbidity, mortality, hospitalisations, and healthcare costs. ADRs from multiple medications contribute significantly to healthcare costs due to increased hospitalisations and treatments, making this an area of focus to achieve cost efficiency. Initial failure to recognise ADRs can generate inappropriate prescription cascades, in which the side effects of drugs are misdiagnosed as symptoms of new problems, resulting in further prescriptions and further side effects that tend to accumulate, confusing and complicating the diagnostic while aggravating the evolution. Therefore, there is a distinct need for research to help identify and prevent such prescription cascades, possibly by maximising the use of technology, as well as to improve multiple drug management in order to reduce patient harm. Furthermore, it is also possible that aside from the ADRs specific to individual drugs taken in combination, new ADRs can emerge as results from the drug combinations themselves. Research activities under this topic should make use of the constantly improving health technologies and data analytics that provide new opportunities to address these issues more effectively, by better integrating medication management into healthcare practices, including into Electronic Health Records (EHR) and decision support systems. Identifying and validating relevant biomarkers for better patient stratification can contribute to significantly decreasing the risk of adverse drug reactions. Biomarkers can also help to detect adverse drug reactions early before occurrence of clinical symptoms and enable early countermeasures. Generating knowledge on the interaction and complexity of biochemical pathways can improve the understanding of patients' response to ADRs and thus provide better tailored treatments and early responses to adverse reactions. For this purpose, any biomedical strategy that allows a better stratification of patients to identify drug response patterns in well-defined patient groups could be used, including in-vitro or in-silico models for adverse drug reactions, imaging biomarkers, drug-drug/drug-gene/drug-food interactions, therapeutic dose reduction and pharmaco-exposomics, nutrition and beverage interference, smoking, vaping, pollution etc. De-escalation studies in view of improving multiple drug management can be also considered. Proposals should be sufficiently robust to examine differences across various populations, and also consider sex difference in drug reactions. The further use of results generated by the projects funded under this topic should be ensured through data sharing with the relevant stakeholders and the European Medicines Agency (EMA), in view of possible adoption of deprescribing or adjusted-prescribing guidelines by relevant authorities at EU and national levels. Where applicable, applicants are strongly encouraged to follow all relevant guidelines in the relevant scientific fields, including but not limited to: Joint EMA/Heads of Medicines Agencies (HMA)/EC Workshop recommendations on pharmacogenomics in medicines regulation and on implementation into clinical practice. Pharmaceutical development of medicines for use in the older population, Scientific guideline from the EMA. Guidelines from the Clinical Pharmacogenetics Implementation Consortium (‘CPIC guidelines’). Proposals funded under this topic should address all the following aspects: Leverage the role of pharmacogenomics, pharmacokinetics and pharmacodynamics in predicting and preventing adverse drug reactions in situations of multiple medications (three or more drugs administered concomitantly), and propose personalised medicine approaches, such as targeted therapies and biomarker-driven treatment strategies, to reduce the rate of adverse drug reactions and limit multiple medications. Maximise the use of technology, such as electronic health records, artificial intelligence and clinical decision support systems, to support safe medication use and prevent adverse drug reactions. Address the ethical, regulatory, and implementation challenges associated with integrating personalised medicine into clinical practice to address adverse drug reactions due to the administration of multiple medications. Generate evidence on the clinical utility and cost-effectiveness of treatment guided by pharmacogenomics and other relevant biomarkers-based approach, for single drugs and for combinations of drugs. Develop and implement strategies, including regulatory science approaches, for efficient integration of project results into daily healthcare. Align with similar work in other EU-funded projects or partnerships, such as the co-funded European Partnership for Personalised Medicine, the co-funded European Partnership on Transforming Health and Care System etc. while avoiding any potential overlaps. The participation of start-ups, micro, small and medium-sized enterprises (SMEs) is encouraged with the aim of strengthening their scientific and technological foundations, enhancing their innovation potential, and exploring possibilities for commercial exploitation. Applicants should provide details of their clinical studies in the dedicated annex using the template provided in the submission system. As proposals under this topic are expected to include clinical studies, the use of the template is strongly encouraged. https://www.ema.europa.eu/en/glossary-terms/medicinal-product Old age is often defined as starting around 60 or 65 years of…