Why the study?
Prognostic models for cardiovascular death, rather than all-cause death, after TAVI have not yet been established.
Do machine learning models using LASSO-selected features improve the prediction of cardiovascular death compared to STS-PROM alone in patients with severe AS who underwent TAVI?
Do machine learning models using LASSO-selected features improve the prediction of cardiovascular death compared to STS-PROM alone in patients with severe AS who underwent TAVI?
Machine learning models incorporating specific clinical and laboratory features provide superior prediction of cardiovascular death after TAVI compared to the traditional STS-PROM score alone.
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May aid post-TAVI CV death risk stratification; leaves open prospective validation before clinical adoption.
Otomo et al. (2025) studied this question.
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