CONTRAST 2.0

2023

Acute stroke management faces significant challenges despite recent progress. Intracerebral hemorrhage (ICH) accounts for 15% of all strokes and lacks effective treatment options. Additionally, only a small portion of acute ischemic stroke (AIS) patients qualify for intra-arterial therapy (IAT), and even after successful IAT, many experience poor outcomes due to incomplete microvascular reperfusio. The ambition of CONTRAST 2.0 is to improve outcome after stroke and increase the number of patients who are eligible for acute treatment. CONTRAST 2.0 addresses the aims of the Dutch Heart Foundation with an integrated research program to develop and evaluate new treatment strategies for AIS, ICH and Subarachnoid Hemorrhage (SAH) in preclinical studies, a series of complementary RCTs and registries. To establish an optimal setting for long-term preclinical studies on brain damage caused by ischemia-reperfusion or hemorrhage and the effects of neuroprotection, we will develop a platform for assorted translational studies in the most appropriate animal models with clinically relevant output parameters. As such, the consortium will find new opportunities for further clinical evaluation of new treatment modalities.

The Research

The clinical trials and registries will not only be aimed at prompt and accurate treatment in the hospital, but also before admission (in the ambulance) and after admission of stroke patients. Their design allows that results can be readily implemented in clinical practice. Studies will demonstrate:

a) how to improve prehospital triage by evaluating prediction rules and devices for diagnosis of the type of stroke and the presences of intracranial vessel occlusion,

b) how to improve the outcome of ischemic stroke by treatment of medium vessel occlusions, by treatment of occlusive and stenotic carotid bifurcation disease, by neuroprotective drugs and by achieving better technical procedural outcome with a personalized technical approach based on thrombus and vessel characteristics,

c) how to improve the outcome of hemorrhagic stroke with minimally invasive interventions, and

d) how to improve post-stroke rehabilitation by better prediction of long-term outcome and the prediction of effects of intervention.

Large clinical datasets will be used to develop models for care organization and individualized treatment  strategies, considering individual prognosis based on personal characteristics (sex, age, stroke type, severity), and imaging findings (thrombus and vessel characteristics). The proposed research program will make use of the national stroke research infrastructure established within CONTRAST 1.0 and aims to attract additional public and private funding for fully execution of the research plans.

The overarching aim of CONTRAST 2.0 remains to improve outcome of stroke patients by blending mechanistic, basic scientific projects with pragmatic randomized clinical trials and registries. Specifically, CONTRAST 2.0 will aim to advance treatment through earlier diagnosis of stroke, rapid and more effective personalized treatment of acute stroke, and lastly optimized personalized rehabilitation of stroke survivors in the acute and subacute phase. At the end of the project, it is our ambition to have:

  1. evaluated and implemented the best prehospital triage strategy in the Netherlands resulting in earlier treatment of more patient with stroke.
  2. expanded the indications of EVT to patients with MeVO.
  3. implemented evidence-based guidelines for the optimal treatment timing of carotid occlusive disease.
  4. a preclinical platform for identification of new therapeutic targets and testing of promising therapies, and we have performed the first preclinical trials with neuroprotective agents.
  5. developed personalized EVT approach (technique and device choice) based on thrombus and vessel characteristics.
  6. proven that minimally invasive endoscopy-guided surgery for ICH results in better outcome and we can offer this treatment to all patients in the Netherlands.
  7. assessed the treatment outcomes of advanced endovascular devices for a recently ruptured intracranial aneurysms in the Netherlands and to have initiated an RCT to support evidence-based decision making.
  8. improved prediction of medium-term outcome (defined on multiple domains) of stroke patients to guide the individualized treatment decision of patients 1) in the chain of care and 2) for additional interventions resulting in improved functioning and quality of life.

The origin

Following the world-leading MR CLEAN trial, the CONTRAST 1.0 consortium was formed in 2017 to tackle one of the main challenges on the research agenda of the Dutch Heart Foundation: improving the acute treatment of stroke. Minimizing the burden of disease for everyone who has to live with the consequences of a stroke is also of great importance to the Brain Foundation Netherlands. The Dutch Heart Foundation and the Brain Foundation Netherlands have therefore joined forces to continue the unique and succesful collaboration between acute care and chronic care in 2023. This resulted in the CONTRAST 2.0 consortium. The Dutch Heart Foundation, Brain Foundation Netherlands and ZonMw are partners and funders in the CONTRAST consortium. In addition, this work was funded in part through unrestricted funding by Stryker, Medtronic and Penumbra.

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Collaborators

Funded

Contact person:

PhD R. van Nuland (Rick)

Principal investigators

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MyDigiTwin

2020
Cardiovascular disease (CVD) is the leading global cause of mortality and morbidity, with ischemic heart disease (IHD) representing approximately half of all CVD-related deaths. Precise, personalized risk assessment and treatment recommendations are crucial for addressing the diverse population at risk of CVD. Current standard approaches rely on algorithms that incorporate a limited set of traditional risk factors to estimate CVD and IHD risk. However, significant cardiovascular events often occur in individuals categorized as low risk, underscoring the need for ongoing research to enhance preventive strategies. The Focus The MyDigiTwin initiative aims to provide individuals with personalized insights into their cardiac health, enabling proactive monitoring and management of cardiovascular conditions. This integrated digital health platform empowers individuals to take control of their cardiac health by offering accessible, data-driven insights and tools. The Research MyDigiTwin is a pioneering research initiative focused on revolutionizing cardiac health management by integrating advanced AI technologies with extensive patient data. The development of MyDigiTwin involves harnessing large-scale longitudinal datasets from over 500,000 patients, combined with sophisticated AI algorithms. This approach enables the platform to analyze diverse health parameters and generate tailored recommendations for users based on their unique health profiles. By leveraging AI and comprehensive patient data, MyDigiTwin represents an innovative approach to preventive and personalized healthcare, facilitating early detection and intervention for cardiovascular conditions. 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.
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PERFECT-FIT

2020
Smoking tobacco and physical inactivity are key preventable risk factors of cardiovascular disease (CVD). Perfect Fit aims to prevent CVD, promote well-being, and reduce healthcare costs, particularly targeting disadvantaged populations where smoking and physical inactivity are prevalent. The Research The project develops tailored, evidence-based, near real-time computer coaching for quitting smoking and enhancing PA. For every individual, a personal model is designed which generates personalized recommendations based on high-quality existing and newly collected data, and adapts to changing circumstances/progress (similar to a TomTom navigation system), using machine learning techniques and incorporating domain-specific expert knowledge (e.g. health behaviour change strategies). Virtual coaches (VCs) communicate advice in a motivating way that fits individuals’ persuasive communication styles. Perfect Fit integrates big-data science, sensor technology, and personalized real-time feedback to support smoking cessation and promote adequate physical activity (in both gym settings and daily life). The key questions of this study are: Which adaptivity is needed to create a robust, safe, and effective interaction between individuals and machines? How can we develop advanced data science methods and embed this in current smoking cessation and PA coaching practice? How do measurement modalities, feedback and communication affect individuals’ smoking status and PA? 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.
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