Exercise in patients with lamin A/C genotype related cardiomyopathy.
Lamin A/C dilated cardiomyopathy is an autosomal dominant inheritable disease with a high lifetime penetrance. There are indications that competitive sports are related to adverse events in patients with lamin A/C genotype, but the evidence is sparse and the effect of recreational exercise is unknown.
We investigated the relationship between lifetime exercise hours, cardiac function, and arrhythmias in patients with lamin A/C genotype.
Project leader: K.H. Haugaa
Late adverse cardiac effects of cancer treatments
Cancer survival has been increasing for decades, but the treatments are often cardiotoxic. We investigate the late adverse effects of cancer drugs and treatments, like radiation treatment, on cardiac morbidity and health.
Current projects include the study of Cisplatin-induced cardiotoxicity in survivors of testicular cancer, and the multi-center study on the cardiotoxicity of modern treatment regimes for Hodgkins lymphoma.
Project leader: S.I. Sarvari
Risk stratification in patients corrected for tetralogy of Fallot: a comprehensive cardiac imaging study
Tetralogy of Fallot is one of the most common congenital heart diseases. The main cause of death in operated patients is sudden cardiac death, which in many cases represents the first presentation of an arrhythmia.
We aim to contribute to the improvement of risk stratification in Tetralogy of Fallot patients, by identifying the subpopulation of patients who are at higher risk for sudden cardiac death, arrhythmias and heart failure.
Project leader: M.E. Estensen
Disease progression in probands and mutation positive family members with arrhythmogenic cardiomyopathy
Arrhythmogenic cardiomyopathy (AC) is an inheritable cardiomyopathy in which probands are generally known to have more severe disease than family members when first evaluated.
We aim to describe disease penetrance in family members at genetic diagnosis, compare disease progression between probands and family members and also to assess the impact of structural disease progression on arrhythmic outcome in AC patients and mutation positive family members.
Project leader: K.H. Haugaa
Cardiac imaging in Brugada syndrome
Brugada syndrome is a genetic primary arrhythmia disorder with a high risk for sudden death. Although previously described as a purely electrical disorder, subtle structural and functional abnormalities appear to be present. We therefore investigate the role of echocardiography as a tool for risk stratification in Brugada syndrome.
Project leader: K.H. Haugaa
Cardiac resynchronization therapy - Acute response parameters
Patients with systolic heart failure and prolonged QRS width on the electrocardiogram are eligible for Cardiac resynchronization therapy (CRT). Clinical response to this treatment is, however, highly variable and one third of the patients do not benefit at all.
The aim of this study was to assess novel electro-mechanical markers of acute hemodynamic response under CRT implantation to increase CRT response prediction.
Project leader: E. Kongsgård
Risk of life-threatening ventricular arrhythmias in high-performance athletes
Endurance athletes can tolerate extreme doses of cardiac stress, and are considered among the most healthy individuals in our society. Therefore, it is tragically counter intuitive when an athlete suffers unexpected sudden cardiac death. Advanced cardiac imaging and electrocardiography may identify individuals at risk of such events.
The aim in this project is to describe the phenotypes of athletes with complex ventricular arrhythmias, compare them to healthy athletes, and to assess the candidate predictors in a separate sample to gain knowledge of risk stratification of high-performance athletes.
Project leader: K.H. Haugaa
Prevalence of systolic and diastolic dysfunction in patients with acute myocardial infarction and implications for prognosis
Diastolic dysfunction is a result of reduced relaxation of the left ventricle, often combined with increased stiffness and/or reduced restoring forces. Patients with signs of diastolic dysfunction have an elevated risk of major adverse cardiovascular events after acute myocardial infarction (AMI).
We will evaluate the presence of systolic dysfunction and diastolic dysfunction after AMI, and investigate whether this has prognostic implications.
Project leader: T. Edvardsen
Effect of pregnancy on disease manifestation in patients with Lamin A/C cardiomyopathy
Lamin AC (LMNA) cardiomyopathy is a cardiac genetic disease characterized by ventricular dilatation with reduced cardiac function and early onset of malignant ventricular arrhythmias in young age.
We investigate the relationship between pregnancy and cardiac morphology, function and occurrence of ventricular arrhythmias in LMNA patients.
Project leader: K.H. Haugaa
Electromechanical Presages of Sudden Cardiac Death in the Young: integrating imaging, modelling and genetics for patient stratification
In the young (<40 years), sudden cardiac death (SCD) is often the first manifestation of a genetic cardiac disease causing lethal arrhythmias.
The EMPATHY project aims to unravel the complex pro-arrhythmic electro-mechanical interactions in the apparently healthy yet vulnerable hosts of genetic cardiac diseases by combining three different but highly complementary scientific fields, being clinical cardiac imaging (OSLO), genetics and cellular electrophysiology (MILAN), and multi-scale computational modelling (MAASTRICHT).
Project leader: K.H. Haugaa
Improving echocardiographic risk prediction in arrhythmogenic cardiomyopathy
Arrhythmogenic cardiomyopathy is a genetic disease, affecting the heart and causing potentially lethal arrhythmias. In order to improve echocardiographic risk prediction in patients with this relatively rare disease, we are combining data and expertise from two of the largest patient cohorts in Europe, the Oslo cohort and the Utrecht cohort from the Netherlands.
Project leader: K.H.Haugaa
Development of new ultrasound technologies and methods
Pål Brekke's research is focused on the development of new ultrasound technologies and methods, with focus on high frame rate ultrasound and machine learning/artificial intelligence applications. He is also employed part time by the Norwegian Research Council funded BigMed project, in which big data analytics are being employed to improve sudden cardiac death prediction and prevention.
Brekke is supervising a medical student researcher, Magnus Rogstadkjernet in his project, which will employ machine learning tools in automating aspects of echo analysis.