Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

Journal: JACC. Cardiovascular imaging

PMID: 29680357

Abstract

OBJECTIVES: This study sought to explore the natural clustering of echocardiographic variables used for assessing left ventricular (LV) diastolic dysfunction (DD) in order to isolate high-risk phenotypic patterns and assess their prognostic significance.

Authors

Megan Cummins Lancaster

Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Alaa Mabrouk Salem Omar
Sukrit Narula

Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, 20 Copeland Ave, Hamilton, ON L8L 2X2, Canada.
Hemant Kulkarni

M&H Research, LLC, San Antonio, Texas.
Jagat Narula
Partho P Sengupta

Division of Cardiovascular Diseases and Hypertension, Robert Wood Johnson University Hospital, and Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.

Keywords

Aged Aged, 80 and over Cause of Death Cluster Analysis Diastole Disease Progression Echocardiography, Doppler, Color Echocardiography, Doppler, Pulsed Female Heart Ventricles Hospitalization Humans Image Interpretation, Computer-Assisted Machine Learning Male Middle Aged Pattern Recognition, Automated Phenotype Predictive Value of Tests Progression-Free Survival Retrospective Studies Risk Assessment Risk Factors Ventricular Dysfunction, Left Ventricular Function, Left

External Resources

View on PubMed Access via DOI PubMed (29680357)

Phenotypic Clustering of Left Ventricular Diastolic Function Parameters: Patterns and Prognostic Relevance.

Abstract

Authors

Keywords

External Resources

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