Performance of the heart team approach in daily clinical practice in high-risk patients with aortic stenosis.
Gabriela TiradoCarolina Espejo-PaeresLuis Nombela-FrancoPilar Jimenez-QuevedoJavier CobiellaDavid VivasJose Alberto de AgustínAngela McInerneyEduardo PozoPablo SalinasIvan Nuñez-GilNieves GonzaloEnrique VillagranAlfonso de HoyosHernán Mejia-RenteriaFernando MacayaManuel CarneroIsidre VilacostaAntonio Fernández-OrtizJavier EscanedLuis Carlos Maroto-CastellanosCarlos MacayaPublished in: Journal of cardiac surgery (2020)
The HT decision was determined by well-recognized risk factors that were used to define a treatment decision algorithm. Future studies with younger and lower-risk patients may identify new contributory factors that may alter the selection process and treatment choice.
Keyphrases
- ejection fraction
- aortic stenosis
- risk factors
- clinical practice
- end stage renal disease
- transcatheter aortic valve replacement
- heart failure
- left ventricular
- chronic kidney disease
- newly diagnosed
- physical activity
- decision making
- aortic valve replacement
- deep learning
- atrial fibrillation
- coronary artery disease
- quality improvement
- patient reported
- neural network