Current trends in aortic valve-preserving surgery.
Takashi KuniharaPublished in: Asian cardiovascular & thoracic annals (2020)
The natural history of aortic regurgitation is not as benign as once believed, even in asymptomatic patients with preserved left ventricular function. Aortic valve surgery can prolong survival in these patients. However, both mechanical and biological aortic valve replacement have major disadvantages, especially in young patients. Aortic valve-preserving surgery has attracted a great deal of attention because it has a significant survival benefit over replacement. Nonetheless, aortic valve-preserving surgery has not been widely adopted due to the complexity of the technique and assessment (i.e., long learning curve). With recent technical and theoretical advances, aortic valve-preserving surgery has increasingly been performed with better outcomes, and therefore earlier surgical intervention in cases of aortic regurgitation has been considered. Recent advances in aortic valve-preserving surgery include repair-oriented classification of the etiology of aortic regurgitation, objective assessment of the cusp configuration (i.e., effective height and geometric height), use of aortic annuloplasty, introduction of two reproducible valve-sparing root replacement procedures (i.e., aortic valve reimplantation and aortic root remodeling techniques), standardization of aortic valve-preserving surgery, and assessment of cusp configuration with aortoscopy. A number of prospective multicenter studies are currently underway and will clarify the role of aortic valve-preserving surgery in the treatment of aortic regurgitation in the near future.
Keyphrases
- aortic valve
- aortic valve replacement
- aortic stenosis
- transcatheter aortic valve replacement
- minimally invasive
- transcatheter aortic valve implantation
- coronary artery bypass
- surgical site infection
- end stage renal disease
- left ventricular
- ejection fraction
- newly diagnosed
- randomized controlled trial
- chronic kidney disease
- physical activity
- pulmonary hypertension
- metabolic syndrome
- machine learning
- coronary artery
- adipose tissue
- prognostic factors
- working memory
- coronary artery disease
- acute myocardial infarction
- skeletal muscle
- insulin resistance
- pulmonary arterial hypertension
- deep learning
- acute coronary syndrome
- patient reported outcomes
- robot assisted
- double blind
- cross sectional