Predicting one-year outcomes after TAVI: evidence from a two-site Swiss registry

This study demonstrates the feasibility of building a one-year mortality prediction model after TAVI using standard clinical variables. With 2,053 patients from two centers, the model is a promising step toward Swiss-specific risk tools. Incorporating frailty or functional status may further improve performance. This model may support heart teams in shared decision-making.

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Publication Details

Journal
BMC Cardiovascular Disorders
Published
2025-08-30
DOI
https://doi.org/10.1186/s12872-025-05114-8
Citations
1
Primary Topic
Cardiac Valve Diseases and Treatments
Type
article
Field-Weighted Citation Impact
1.39
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article

Predicting one-year outcomes after TAVI: evidence from a two-site Swiss registry

Mario Togni, D. Garín, Charlie Ferry, Stefan Stortecky et al.
1 citations
BMC Cardiovascular Disorders
Cardiac Valve Diseases and Treatments
1.39
article

Predicting one-year outcomes after TAVI: evidence from a two-site Swiss registry

Mario Togni, D. Garín, Charlie Ferry, Stefan Stortecky, Aurélien Clerc, Roberto Corti, Peter Wenaweser, Stephane Cook
article en
1 citations

Abstract

This study demonstrates the feasibility of building a one-year mortality prediction model after TAVI using standard clinical variables. With 2,053 patients from two centers, the model is a promising step toward Swiss-specific risk tools. Incorporating frailty or functional status may further improve performance. This model may support heart teams in shared decision-making.

BMC Cardiovascular DisordersVol. 25(1)
University of Fribourg (CH), University Hospital of Bern (CH), Klinik Hirslanden (CH)
Openalex Percentile: Top 15%
Cardiac Valve Diseases and Treatments
1.39
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