A simple algorithm for a clinical step-by-step approach in the management of hypertrophic cardiomyopathy.
Georgios EfthimiadisThomas ZegkosDespoina ParcharidouDimitris NteliosTheofilos PanagiotidisThomas GossiosHaralambos KarvounisPublished in: Future cardiology (2021)
Hypertrophic cardiomyopathy (HCM) is the most common inherited heart disease with an autosomal dominant pattern and a reported prevalence of about 0.2%. In this review, we present a simple algorithm for the management of first diagnosed HCM patients. Initially, the clinical examination, medical and detailed family history and the ECG are essential. The etiological diagnosis of left ventricular hypertrophy is important in order to differentiate HCM due to sarcomeric genes mutation from other phenocopies, such as cardiac amyloidosis. The next step consists of the cardiovascular imaging and ambulatory electrocardiography. Cardiopulmonary exercise testing may also be considered if available. All of the above provide evidence for the critical step of the risk stratification of patients for sudden cardiac death. The therapeutic strategy, with respect to obstructive and nonobstructive disease, arrhythmias and end-stage HCM is also described.
Keyphrases
- hypertrophic cardiomyopathy
- left ventricular
- end stage renal disease
- heart failure
- ejection fraction
- acute myocardial infarction
- left atrial
- chronic kidney disease
- cardiac resynchronization therapy
- newly diagnosed
- machine learning
- prognostic factors
- mitral valve
- aortic stenosis
- healthcare
- deep learning
- coronary artery disease
- risk factors
- blood pressure
- pulmonary hypertension
- aortic valve
- atrial fibrillation