Sudden Cardiac Death in Patients with Heart Disease and Preserved Systolic Function: Current Options for Risk Stratification.
Luigi PannoneGiulio FalasconiLorenzo CianfanelliLuca BaldettiFrancesco MoroniRoberto SpoladorePasquale VergaraPublished in: Journal of clinical medicine (2021)
Sudden cardiac death (SCD) is the leading cause of cardiovascular mortality in patients with coronary artery disease without severe systolic dysfunction and in heart failure with preserved ejection fraction. From a global health perspective, while risk may be lower, the absolute number of SCDs in patients with left ventricle ejection fraction >35% is higher than in those with severely reduced left ventricle ejection fraction (defined as ≤35%). Despite these observations and the high amount of available data, to date there are no clear recommendations to reduce the sudden cardiac death burden in the population with mid-range or preserved left ventricle ejection fraction. Ongoing improvements in risk stratification based on electrophysiological and imaging techniques point towards a more precise identification of patients who would benefit from ICD implantation, which is still an unmet need in this subset of patients. The aim of this review is to provide a state-of-the-art approach in sudden cardiac death risk stratification of patients with mid-range and preserved left ventricular ejection fraction and one of the following etiologies: ischemic cardiomyopathy, heart failure, atrial fibrillation or myocarditis.
Keyphrases
- ejection fraction
- heart failure
- left ventricular
- aortic stenosis
- mitral valve
- pulmonary hypertension
- global health
- atrial fibrillation
- pulmonary artery
- left atrial
- cardiac resynchronization therapy
- hypertrophic cardiomyopathy
- blood pressure
- public health
- risk factors
- acute heart failure
- acute myocardial infarction
- high resolution
- congenital heart disease
- electronic health record
- cardiovascular events
- big data
- cardiovascular disease
- oral anticoagulants
- blood brain barrier
- percutaneous coronary intervention
- coronary artery
- coronary artery disease
- machine learning
- oxidative stress
- type diabetes
- drug induced
- artificial intelligence