CAPACITY

Initial reports on the disease manifestation of COVID-19 highlight fever and respiratory symptoms as predominant features. A significant proportion of patients also experience substantial cardiovascular damage. Furthermore, patients with underlying cardiovascular conditions appear to be at higher risk of severe COVID-19 outcomes. However, understanding of the disease course in this patient group remains limited, and there is insufficient evidence to adapt clinical decision-making accordingly.

The Focus
CAPACITY is a patient registry for individuals with COVID-19 that includes cardiovascular risk factors and complications. It is an extension of the Case Record Form (CRF) developed by the ISARIC (International Severe Acute Respiratory and Emerging Infection Consortium) and the WHO (World Health Organization) in response to the COVID-19 outbreak.

The Research

The objective of CAPACITY is to collect data on cardiovascular history, diagnostic information, and cardiovascular complications in COVID-19 patients. By gathering this data in a standardized manner, CAPACITY aims to provide insights into (1) the manifestation and incidence of cardiovascular complications in patients with COVID-19, and (2) the susceptibility and clinical course of COVID-19 in patients with underlying cardiovascular conditions.

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Collaborators

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Heart4Data

2022
The main aim of the Heart4data consortium is to develop a sustainable infrastructure for cardiovascular registry-based research in the Netherlands. This includes governance and Information Technology (IT) infrastructure, research methods, FAIR (findable, accessible, interoperable and reusable) data creation and data linkage with relevant databases. Heart4Data is funded by Hartstichting and ZonMW.      About Heart4Data  The Heart4Data consortium is building on the core qualities and experience of DCVA partners. Heart4Data will create a DCVA Health Data Hub that will be part of the DCVA pillar Data Infrastructure to combine all expertises across the different DCVA partners as part of the sustainability program.    In addition, Heart4Data will contribute to improvement of valorisation and implementation through accelerating the generation of results and facilitate DCVA consortia by providing a platform for research at lower operational costs compared to more traditional research methods.    Ambition/Goals  1. To create a national and sustainable FAIR data-based infrastructure for cardiovascular registry-based research.  The infrastructure includes a framework/structure for the governance, and the ethical, legal, financial, technological and methodological factors. There will be a special focus on heart failure in this project by creating a sustainable heart failure (and atrial fibrillation (AF)) registry in the Netherlands Heart Registration (NHR) and links with other relevant national and regional registries and data sources.    2. To use and prove value of the infrastructure by conducting two projects:    - Observational, longitudinal research on the entire spectrum of patients with heart failure (including patients with HFpEF) in the Netherlands (project A) with focus on guideline recommended diagnostic trajectories and treatment.  - Prospective randomized clinical research on pharmaco-therapeutic treatment in patients with chronic heart failure (project B: SELEQT-HF). 
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STRAP

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.
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