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Dataset Information

Unsupervised cluster analysis reveals different phenotypes in patients after transcatheter aortic valve replacement.


ABSTRACT:

Aims

The aim of this study was to identify phenotypes with potential prognostic significance in aortic stenosis (AS) patients after transcatheter aortic valve replacement (TAVR) through a clustering approach.

Methods and results

This multi-centre retrospective study included 1365 patients with severe AS who underwent TAVR between January 2015 and March 2019. Among demographics, laboratory, and echocardiography parameters, 20 variables were selected through dimension reduction and used for unsupervised clustering. Phenotypes and outcomes were compared between clusters. Patients were randomly divided into a derivation cohort (n = 1092: 80%) and a validation cohort (n = 273: 20%). Three clusters with markedly different features were identified. Cluster 1 was assoc

SUBMITTER: Kusunose K 

PROVIDER: S-EPMC10766904 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature