HBCx

The STRAP consortium aims to reduce the burden of heart disease by early detecting heart disease deterioration, benefiting patients, healthcare workers, and society. This initiative responds to acute needs observed in cardiology clinics, combined with the increasing availability of health tracking technologies. The project focuses on developing a new, AI-powered solution using cost-effective technology to maximize impact on healthcare costs. The Research STRAP is dedicated to developing a comprehensive data collection platform integrating off-the-shelf and cutting-edge self-tracking technologies. This platform empowers patients to measure vital signs at home, eliminating the need for frequent clinic visits and enabling longitudinal data collection on daily activities and emotions. The platform enhances self-tracking adherence through gamification strategies. The project involves developing and evaluating novel diagnostic and prognostic methods through two trials with target groups where notable improvements are achievable and highly impactful: Trial for Elderly Heart Patients: reducing re-hospitalization among elderly heart patients to minimize health deterioration and healthcare costs. Trial at Cardiac Outpatient Clinics: lower costs and enhance the quality of heart disease diagnosis for individuals attending cardiac outpatient clinics. The foundation of the trials is twofold. Establishing a Robust Dataset: creating an interconnected dataset to evaluate digitalized techniques' performance in relation to health records. This dataset incorporates electrocardiography data, stethoscope audio recordings, wrist-worn device activity levels, electronic nose sensor data, and self-reported information via IoT technologies, including parameters like water consumption, sleep patterns, real-time feelings, physiological responses, and overall patient well-being. Employing this diverse dataset, STRAP develops innovative analysis and early diagnosis methods to advance heart disease detection and monitoring. Through these efforts, STRAP aims to implement advanced technologies and data-driven approaches to significantly impact heart disease management. Origin This project was funded within the Big Data & Health Program. The focus of this public-private research program is the use of big data for the early detection and prevention of cardiovascular diseases. The program has been developed by NWO, ZonMw, the Dutch Heart Foundation, the Top Sectors Life Sciences & Health (LSH), ICT and Creative Industry, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center. Within this research program, the ambitions of the Dutch Heart Foundation, the Ministry of Health, Welfare and Sport, and the Netherlands eScience Center were aligned with the ambitions of Commit2Data for the Top Sectors ICT, LSH, and Creative Industry, as described in the 2018-2019 Kennis- en Innovatiecontracts between NWO and the Top Sectors.

Currently, it is largely unknown to what extent the heart is involved in COVID-19. The aim of this project is to assess the incidence and consequences of cardiac damage in patients who have experienced COVID-19. How often does COVID-19 lead to myocardial damage? What are the short- and long-term consequences of this damage and what can we do to prevent it from occurring? These are the central questions that will be answered within the DEFENCE consortium. The Research The DEFENCE consortium integrates several national studies initiated at the onset of the COVID-19 pandemic, encompassing diverse patient groups as part of the COPP study, ranging from elite athletes (COMMIT study) and individuals recovering at home (COVID@Heart study) to hospitalized patients (CAPACITY-COVID registry and CAPACITY 2 study) and children with post-infection inflammatory syndromes affecting the heart (MIS-C). By harmonizing these initiatives, a unique cohort spanning the entire spectrum of COVID-19 severity has been established. The ongoing studies are extended at multiple levels within the DEFENCE project. This includes: Standardized Healthcare Pathway Implementation: Implementing and evaluating a standardized healthcare pathway to assess cardiac damage occurrence within 6 months post-hospitalization for COVID-19. Serial Cardiac Magnetic Resonance (CMR) Imaging: Performing serial CMR imaging to determine the prevalence and reversibility of myocardial damage, with all scans assessed in a core lab. Evaluation of Cardiovascular Symptoms: Assessing the incidence of cardiovascular symptoms such as chest pain and palpitations in the post-acute phase through patient questionnaires. Linking Data to National Datasets: Linking study data to national datasets at Statistics Netherlands to analyze long-term cardiovascular morbidity and mortality. To evaluate whether cardiovascular disease is a characteristic feature of COVID-19, a comparison with other respiratory tract infections, including seasonal influenza will be made. Origin This research has is funded by ZonMw, but has been set up through the efforts of WCN, NLHI, NHR, the Dutch Heart Foundation, NVVC, NVIC, Harteraad, and the EuroQol Research Foundation, who collaborate within the Dutch CardioVascular Alliance.