Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes.
Journal:
Circulation. Cardiovascular imaging
PMID:
32418453
Abstract
BACKGROUND: There is a lack of studies investigating the heterogeneity of patients with aortic stenosis (AS). We explored whether cluster analysis identifies distinct subgroups with different prognostic significances in AS.
Authors
Keywords
Age Factors
Aged
Aged, 80 and over
Aortic Valve
Aortic Valve Stenosis
Cause of Death
Cluster Analysis
Comorbidity
Decision Support Techniques
Echocardiography
Female
Hemodynamics
Humans
Male
Middle Aged
Phenotype
Predictive Value of Tests
Prognosis
Prospective Studies
Reproducibility of Results
Risk Factors
Severity of Illness Index
Unsupervised Machine Learning