Aim of this single-center, retrospective study was to assess early and long-term clinical and hemodynamic results of transapical aortic valve implantation (TA-TAVI), and to identify predictors of survival at follow-up. All patients undergoing TA-TAVI for severe aortic valve stenosis at our institution were reviewed. A hybrid approach based on machine-learning techniques was employed to identify survival predictors, using a Bagging-Decision-Tree algorithm and a Random-Forest algorithm, respectively. Two-hundred-thirty-four consecutive patients underwent TA-TAVI (March 2009-May 2019). All-cause 30-day mortality was 5.1%. Device success was 95.7%. Median follow-up time was 35.2 months. Kaplan-Meier overall survival rates at 2, 5, and 8 years were 75%, 44%, and 15%, respectively. Structural-valve-deterioration occurred in 25 patients (11.3%) overall. The strongest predictors of survival at follow-up were age, body-mass-index, and ejection fraction. TA-TAVI provided valid early and long-term outcomes. These data support its choice as an optimal alternative access whenever the transfemoral route is not feasible.

D'Onofrio, A., Tessari, C., Tarantini, G., Cibin, G., Lorenzoni, G., Pesce, R., et al. (2023). Transapical TAVI: survival, hemodynamics, devices and machine learning: Lessons learned after 10-year experience. CURRENT PROBLEMS IN CARDIOLOGY, 48(8), 101734 [10.1016/j.cpcardiol.2023.101734].

Transapical TAVI: survival, hemodynamics, devices and machine learning: Lessons learned after 10-year experience

D'Onofrio, Augusto
Writing – Original Draft Preparation
;
2023-01-01

Abstract

Aim of this single-center, retrospective study was to assess early and long-term clinical and hemodynamic results of transapical aortic valve implantation (TA-TAVI), and to identify predictors of survival at follow-up. All patients undergoing TA-TAVI for severe aortic valve stenosis at our institution were reviewed. A hybrid approach based on machine-learning techniques was employed to identify survival predictors, using a Bagging-Decision-Tree algorithm and a Random-Forest algorithm, respectively. Two-hundred-thirty-four consecutive patients underwent TA-TAVI (March 2009-May 2019). All-cause 30-day mortality was 5.1%. Device success was 95.7%. Median follow-up time was 35.2 months. Kaplan-Meier overall survival rates at 2, 5, and 8 years were 75%, 44%, and 15%, respectively. Structural-valve-deterioration occurred in 25 patients (11.3%) overall. The strongest predictors of survival at follow-up were age, body-mass-index, and ejection fraction. TA-TAVI provided valid early and long-term outcomes. These data support its choice as an optimal alternative access whenever the transfemoral route is not feasible.
2023
Pubblicato
Rilevanza internazionale
Articolo
Comitato scientifico
Settore MED/23
Settore MEDS-13/C - Chirurgia cardiaca
English
Con Impact Factor ISI
transapical access; aortic valve stenosis; transcatheter aortic valve implantation
D'Onofrio, A., Tessari, C., Tarantini, G., Cibin, G., Lorenzoni, G., Pesce, R., et al. (2023). Transapical TAVI: survival, hemodynamics, devices and machine learning: Lessons learned after 10-year experience. CURRENT PROBLEMS IN CARDIOLOGY, 48(8), 101734 [10.1016/j.cpcardiol.2023.101734].
D'Onofrio, A; Tessari, C; Tarantini, G; Cibin, G; Lorenzoni, G; Pesce, R; Fraccaro, C; Napodano, M; Gregori, D; Gerosa, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/397093
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