View clinical trials related to Cardiomyopathies.
Filter by:The purpose of this observational, retrospective, physician survey study is to describe the real-world effectiveness and use of mavacamten in participants who initiated treatment for obstructive hypertrophic cardiomyopathy (oHCM) in Canada.
To handle daily life challenges, one needs to be psychologically resilient. It plays a crucial role in disease development, prognosis, as well as social, occupational, and community participation. Cardiovascular diseases cause physical and psychological stress, which can be linked to individual resilience and the development of such diseases. Stress can trigger TakoTsubo cardiomyopathy and acute coronary events. Individuals who have experienced TakoTsubo cardiomyopathy or an acute coronary event often feel stressed due to emotional or physical triggers. These triggers may include job loss or illness. In medical rehabilitation, therapists consider the individual circumstances of their patients when planning therapy. It may be important to add a special focus on psychological care, including building resilience, which could greatly benefit these individuals. Therefore, the study aims to investigate whether resilience training, as part of an inpatient multidisciplinary rehabilitation program, affects the individual resilience of rehabilitants with TakoTsubo cardiomyopathy or those who have experienced an acute coronary event.
This is an interventional study for patients who had developed Anthracycline-Induced Cardiotoxicity (AIC) during or after anthracycline-containing therapy, referred to the Cardioncology Unit for heart failure treatment
This study is being done to improve image quality and provide the collaborator with feedback on wide band imaging in patients with cardiac implantable electronic devices (CIED).
The goal of this study is to develop an algorithm using artificial intelligence (AI) to assist identification of potential ATTR-CM cases using routine transthoracic echocardiography. The main questions it aims to answer are: - is the algorithm able to diagnose ATTR-CM - is the algorithm able to diagnose different types of ATTR-CM (ATTRv, ATTRwt) This is a non interventional study. Participant' echocardiographies will be, after deidentification, used to train, valid and test the algorithm.
The aim of this multicenter prospective observational pilot study is to describe the evolution of myocardial fibrosis in cirrhotic patients before and after liver transplantation (LT). Through multimodal analysis of myocardial function and architecture, and analysis of specific markers of inflammation, we aim to explore the following hypotheses: 1) systemic inflammation promotes myocardial fibrosis in cirrhotic patients and could be an early marker of cirrhotic cardiomyopathy; 2) LT allows resolution of myocardial fibrosis by preventing the bacterial translocation that favors the development of deleterious systemic inflammation.
the investigators included 98 patients admitted for sepsis and septic shock (68.4% men, 31.6% women) with an average age of 60.42 years ± 15.13, ranging from 21 to 96 years. The average length of hospital stay was 7.53 days. The most noted medical histories were diabetes (38.8%), hypertension (28.6%), and renal insufficiency (17.1%). Regarding laboratory findings: the mean white blood cell count was 15,985.16 cells/mm³, the mean C-reactive protein (CRP) level was 227.69 mg/L, and the mean procalcitonin level was 50.43 µg/L. In terms of blood gas analysis: the mean lactate level was 3.67 mmol/L, and the mean PCO2 gap (DELTAPCO2) was 4.85. All our patients were continuously monitored by pulse wave analysis: the mean cardiac output was 5.69 L/min, and the mean cardiac index was 4.14 L/s/m² All our patients underwent an echocardiogram, which is a routine examination in our department and is performed at the patient's bedside. The average left ventricular ejection fraction (LVEF) was 51.73%, and the average subaortic peak velocity (ITV) was 14.66 cm. Subsequently. the investigators examined the clinical and paraclinical profile of patients with septic cardiomyopathy. the investigators identified 19 patients with this condition, while 79 patients did not exhibit cardiac involvement. The percentage was significantly higher in the population with cardiac involvement, accounting for 28.3%. Among the patients with cardiac involvement, 76.5% had a PCO2 gap (DELTAPCO2) ≥ 6 mmHg, a significantly reduced cardiac output with an average of 3.3 L/min, and a predominantly low cardiac index, with 64.3% having an index < 2.2 L/min/m². The mortality rate was significantly increased at 73.7%.
This clinical study examines patients presenting with acute myocardial infarction and no significant coronary artery disease on coronary angiography (MINOCA) and patients with MINOCA-mimics with advanced CMR. The present study aims to: - assess the microvascular function with a novel quantitative 3D myocardial perfusion imaging approach in the acute phase and post-convalescence - refine the role and diagnostic potential of advanced quantitative CMR imaging - assess the potential prognostic significance of microvascular dysfunction and epicardial adipose tissue on cardiovascular outcomes Participants will undergo advanced CMR imaging in the acute setting (within 10 days after event) and post convalescence (after 3 months).
Sudden cardiac death (SCD) is the final result of cardiac arrest (CA) , defined as an abrupt and unexpected loss of cardiovascular function resulting in circulatory collapse and death. Up to 50% of cardiac deaths in Europe are due to CA. The estimated mortality of CA is approximately 90%, and significant functional and/or cognitive disabilities often persist among those who survive. The advent of the implantable cardioverter-defibrillator (ICD) has revolutionized the prevention of SCD in high-risk patients with reduced left ventricular ejection fraction (LVEF<35%). However, the algorithm recommended by current guidelines based on LVEF, considered the only parameter to identify high-risk patients, cannot stratify the population and the spectrum of risk with high accuracy. Although the risk of CA is higher among patients with LVEF<35% and NYHA class>1, because of the enormity of the population size at risk (i.e., with organic heart disease and LVEF>35%), most SCD does occur in patients with LVEF>35%. Additionally, the majority of pts who receive the ICD for primary prevention of SCD will not benefit from the device (in the Sudden Cardiac Death in Heart Failure Trial published in 2005, the rate of appropriate ICD therapy was 21% at five years), and/or will experience some side effects of it. In the Israeli registry of patients who underwent ICD (n= 1729) or cardiac resynchronization therapy (n= 1326), the 12-year cumulative incidence of adverse events was 20% for inappropriate shock, 6% for device-related infection, and 17% for lead failure. Moreover, recent improvements in drug treatment for HF and myocardial revascularization have further reduced the incidence of SCD in pts with low LVEF. Finally, pts with advanced HF are unlikely to benefit from ICD therapy because of the high rates of non-arrhythmic deaths. Therefore, improved risk stratification approaches to guide the selection of pts for ICD implantation are needed, and only a multiparametric approach may aim to personalize the risk prediction of SCD across the broad spectrum of the phenotypes of HF patients. The RESPECT project has been designed to personalize the risk of SCD by integrating and interpreting information highly multidisciplinary: clinical and bio-humoral, genetics and electrocardiography, conventional and advanced cardiac imaging, and data science. The investigators hypothesized that machine learning models capable of dealing with non-linearities and complex interactions among predictors, including genetic, clinical, electrocardiographic, bio-humoral, echocardiographic, cardiac magnetic resonance (CMR), and nuclear cardiology data, would have superior accuracy in predicting the occurrence of SCD compared with the currently recommended metrics of NYHA class and LVEF by two-dimensional echocardiography and that the personalized risk prediction of SCD will translate in more cost-effective use of ICDs. In addition, the investigators will use the multiparametric predictive models to develop a cloud-computing app that will allow clinicians to predict the risk of occurrence of SCD based on specific covariate profiles of individual patients.
The purpose of this clinical trial is to learn about the effects of the study medicine (called Tafamidis 61milligrams (mg)) for the potential treatment of Transthyretin amyloid cardiomyopathy (ATTR-CM). This study is seeking participants who were prescribed Tafamidis 61mg after being diagnosed with ATTR-CM and have taken Tafamidis 61mg at least once. We will examine the experiences of people receiving the study medicine. This will help us determine if the study medicine is safe and effective.