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Deep-learning survival analysis for patients with calcific aortic valve disease undergoing valve replacement.
- Source :
-
Scientific reports [Sci Rep] 2024 May 13; Vol. 14 (1), pp. 10902. Date of Electronic Publication: 2024 May 13. - Publication Year :
- 2024
-
Abstract
- Calcification of the aortic valve (CAVDS) is a major cause of aortic stenosis (AS) leading to loss of valve function which requires the substitution by surgical aortic valve replacement (SAVR) or transcatheter aortic valve intervention (TAVI). These procedures are associated with high post-intervention mortality, then the corresponding risk assessment is relevant from a clinical standpoint. This study compares the traditional Cox Proportional Hazard (CPH) against Machine Learning (ML) based methods, such as Deep Learning Survival (DeepSurv) and Random Survival Forest (RSF), to identify variables able to estimate the risk of death one year after the intervention, in patients undergoing either to SAVR or TAVI. We found that with all three approaches the combination of six variables, named albumin, age, BMI, glucose, hypertension, and clonal hemopoiesis of indeterminate potential (CHIP), allows for predicting mortality with a c-index of approximately 80 % . Importantly, we found that the ML models have a better prediction capability, making them as effective for statistical analysis in medicine as most state-of-the-art approaches, with the additional advantage that they may expose non-linear relationships. This study aims to improve the early identification of patients at higher risk of death, who could then benefit from a more appropriate therapeutic intervention.<br /> (© 2024. The Author(s).)
- Subjects :
- Humans
Female
Male
Aged
Transcatheter Aortic Valve Replacement mortality
Aged, 80 and over
Survival Analysis
Risk Factors
Proportional Hazards Models
Risk Assessment methods
Heart Valve Prosthesis Implantation mortality
Heart Valve Prosthesis Implantation methods
Middle Aged
Deep Learning
Aortic Valve surgery
Aortic Valve pathology
Calcinosis surgery
Calcinosis mortality
Aortic Valve Stenosis surgery
Aortic Valve Stenosis mortality
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 14
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 38740898
- Full Text :
- https://doi.org/10.1038/s41598-024-61685-0