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September 10, 2025BMC Cardiovascular DisordersOpen Access

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

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Authors

CFCharlie FerryDGD. GarínRCRoberto Corti

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Overview

This analysis develops a multivariable model predicting one-year mortality after TAVI, suggesting improved risk stratification tools in heart surgery.

Key Points

  • The model predicts one-year mortality after TAVI using standard clinical variables, showing its feasibility in patient assessment.
  • At one-year, significant predictors include age, coronary artery disease, and reduced glomerular filtration rate, highlighting crucial factors in patient outcomes.
  • The analysis utilized real-world data from 2,053 patients across two Swiss centers, allowing for a comprehensive examination of risk factors.
  • The model achieved an AUC of 0.763, outperforming traditional prediction tools, calling for further studies including frailty and functional status.

Cite This Study

Ferry et al. (2025) studied this question.

synapsesocial.com/papers/68c243f6b210217d647a933ehttps://doi.org/10.1186/s12872-025-05114-8
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