Active clinical trials for "Heart Diseases"

This multicentre study is to validate prediction modeling for the ACHD population undergoing cardiac surgery. The validation of this prediction model will support and generalize its use as a risk stratification tool in the ACHD population.

Myocarditis is a complex inflammatory disease, usually occurring secondary to viral infections, autoimmune processes or toxic agents. Clinical presentations are multiple, including chest-pain, heart failure and a broad spectrum of arrhythmias. In turn, outcome is largely unpredictable, ranging from mild self-limiting disease, to chronic stage and progressive evolution towards dilated cardiomyopathy, to rapid adverse outcome in fulminant forms. Subsequently, myocarditis is often underdiagnosed and undertreated, and optimal diagnostic and therapeutic strategies are still to be defined. This study, both retrospective and prospective, originally single-center and subsequently upgraded to multicenter, aims at answering multiple questions about myocarditis, with special attention to its arrhythmic manifestations. Optimal diagnostic workflow is still to be defined. In fact, although endomyocardial biopsy (EMB) is still the diagnostic gold standard, especially for aetiology identification, it is an invasive technique. Furthermore, it may lack sensitivity because of sampling errors. By converse, modern imaging techniques - cardiac magnetic resonance (CMR) in particular - have been proposed as alternative or complementary diagnostic tool in inflammatory heart disease. Other noninvasive diagnostic techniques, like delayed-enhanced CT (DECT) scan or position emission tomography (PET) scan, are under investigation. Biomarkers to identify myocarditis aetiology, predisposition, prognosis and response to treatment are still to be defined. Arrhythmic myocarditis is largely underdiagnosed and uninvestigated. Importantly, myocarditis presenting with arrhythmias requires specific diagnostic, prognostic and therapeutic considerations. At the group leader hospital, which is an international referral center for ventricular arrhythmias management and ablation, a relevant number of patients with unexplained arrhythmias had myocarditis as underlying aetiology. The experience of a dedicated third-level center is going to be shared with other centers, to considerably improve knowledge and management of arrhythmic myocarditis. The role of CMR, as well as alternative noninvasive imaging techniques, in defining myocarditis healing is a relevant issue. In particular, optimal timing for follow-up diagnostic reassessment is still to be defined, in patients with myocarditis at different inflammatory stages, either with or without aetiology-dependent treatment. Uniformly-designed studies are lacking, to compare myocarditis among different patient subgroups, differing by variables like: clinical presentations, myocarditis stage, associated cardiac or extra-cardiac diseases, aetiology-based treatment, associated arrhythmic manifestations, diagnostic workup, and devices or ablation treatment.

This study aims to identify and assess new CMR techniques that can improve current CMR protocols.

The objective of this study is to establish AI algorithm based on the deep learning to strengthen the ability to classify the heart murmurs of healthy people and different major or other subdivided congenital heart diseases(CHDs) and to evaluate the effectiveness of artificial intelligence technology-assisted heart sound recognition system (referred to as: Heart sound AI recognition system) for multi-center CHD screening.

The goal of this study is to evaluate the safety and effectiveness of endovascular interventional surgery instrument control system （ALLVAS®robot）and supporting consumables for coronary artery interventional surgery. Participants will will complete coronary intervention surgery with the assistance of robot system（ALLVAS®robot）, and evaluate the effect of the use effect of robots and clinical treatment after surgery

Exercise interventions alone or as a component of a comprehensive cardiac rehabilitation program for patients with heart failure (HFrEF and HFpEF) have already shown to reduce the risk of hospitalisations due to HF and improved exercise capacity and health-related quality of life. Two meta-analyses have confirmed the beneficial effects in cardiorespiratory fitness and quality of life. The effects of exercise training on systolic and diastolic function remain inconclusive. Due to the positive results of exercise training in HFpEF, cardiac rehabilitation is recommended (Class I, level A) to be integrated into the overall provision of HF care. However, none of these studies focused on concomitant PH in HFpEF. Exercise training in patients with pulmonary hypertension has already shown to improve exercise capacity, quality of life and peak oxygen consumption, which was confirmed by three meta-analyses and a Cochrane review. Though different diagnostic subgroups have already been enrolled in PH exercise training studies, they mainly included pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension. Data on combined PH and HFpEF is still lacking. As recently pointed out by Arena et al. there may thus be an exercise training volume/intensity which may be detrimental to the RV in patients with HF and concomitant PH. This study is sought to investigate whether a specialized training program is safe and tolerable and may improve exercise capacity, quality of life, hemodynamics, diastolic dysfunction and biomarkers in patients with PH and HFpEF.

Cardiovascular disease is the leading cause of death worldwide. Advanced cardiovascular imaging using Magnetic Resonance Imaging (MRI) has proven to be effective in providing gold standard myocardial tissue characterization. Moreover, the intrinsic advantage of MRI's lack of exposure to ionizing radiation is particularly beneficial. At the same time, blood work can be very useful in early detection of certain cardiomyopathy, such as amyloid. However, there is a lack of agreement of on which markers are the most sensitive. This multi-study will allow us the unique opportunity to form a more comprehensive understanding for various cardiovascular diseases. Our team has developed novel cardiac MRI techniques that leverages endogenous tissue properties to reveal a milieu of deep tissue phenotypes including myocardial inflammation, fibrosis, metabolism, and microstructural defects. Among these phenotypes, myocardial microstructure has proven to be most sensitive to early myocardial tissue damage and is predictive of myocardial regeneration. In this study, the investigators aim to further study the importance of cardiac microstructure revealed by MRI in patient and healthy population and compare this novel technology with conventional clinical biomarkers.

Multicenter, prospective, non-randomized, post-market clinical follow-up (PMCF) study to confirm and support the clinical safety and performance of CAPTURER to meet EU Medical Device regulation (MDR) requirements in all the CONSECUTIVE patients treated with CAPTURER .

Multicenter, prospective, non-randomized, post-market clinical follow-up (PMCF) study to confirm and support the clinical safety and performance of Navitian to meet EU Medical Device regulation (MDR) requirements in all the CONSECUTIVE patients treated with Navitian.

The registry is an international, multicenter, non-randomized, non-invasive study to assess the safety, performance and usability of the Occlutech Accessories "Occlutech Delivery Set (ODS), Occlutech Pistol Pusher (OPP), Occlutech Occlusions-Pusher (OOP) and Occlutech Sizing Balloon (OSB)" used for implantation procedures (catheter-based interventions) of cardiac implants via completing surveys (questionnaires) for the accessory medical devices by the investigators.