Impact of Evolution of Self-Expandable Aortic Valve Design: Peri-Operative and Short-Term Outcomes.
Evangelia BeiVasileios VoudrisKonstantinos KalogerasEvaggelos OikonomouIoannis IakovouIlias KosmasCharalampos KalantzisMichael-Andrew VavuranakisPanteleimon PantelidisGeorge LazarosDimitrios TousoulisConstantinos TsioufisManolis VavuranakisPublished in: Journal of clinical medicine (2023)
A few data exist on the differences of implantable aortic valve bio-prostheses. We investigate three generations of self-expandable aortic valves in terms of the outcomes. Patients undergoing transcatheter aortic valve implantation (TAVI) were allocated into three groups according to the valve type: group A (CoreValve TM ), group B (Evolut TM R) and group C (Evolut TM PRO). The implantation depth, device success, electrocardiographic parameters, need for permanent pacemaker (PPM), and paravalvular leak (PVL) were assessed. In the study, 129 patients were included. The final implantation depth did not differ among the groups ( p = 0.07). CoreValve TM presented greater upward jump of the valve at release (2.88 ± 2.33 mm vs. 1.48 ± 1.09 mm and 1.71 ± 1.35 mm, for groups A, B, and C, respectively, p = 0.011). The device success (at least 98% for all groups, p = 1.00) and PVL rates (67% vs. 58%, vs. 60% for groups A, B, and C, respectively, p = 0.64) did not differ. PPM implantation within 24 h (33% vs. 19% vs. 7% for groups A, B, and C, respectively, p = 0.006) and until discharge (group A: 38% vs. group B: 19% and group C: 9%, p = 0.005) was lower in the newer generation valves. Newer generation valves present better device positioning, more predictable deployment, and fewer rates of PPM implantation. No significant difference in PVL was observed.
Keyphrases
- aortic valve
- transcatheter aortic valve implantation
- aortic valve replacement
- aortic stenosis
- transcatheter aortic valve replacement
- patients undergoing
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- type diabetes
- prognostic factors
- electronic health record
- peritoneal dialysis
- skeletal muscle
- patient reported
- heart failure
- patient reported outcomes
- pulmonary hypertension
- data analysis
- left atrial
- atrial fibrillation
- deep learning
- coronary artery
- pulmonary artery
- big data
- anti inflammatory
- pulmonary embolism
- insulin resistance
- artificial intelligence