Abstract 10637: A Pooled Multi-National Validation Study of a Machine Learning, High-Sensitivity Troponin-Based Multi-Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease as Compared to High Sensitivity Troponin Alone in a Subset of Patients with Diabetes

Raghav Gattani,Emmanuel Ekanem,Araba Ofosu-Somuah,Johannes T. Neumann,Cian P. McCarthy,Palak Shah,Craig A. Magaret,Rhonda F. Rhyne,Grady Barnes,Céline Peters,Dirk Westermann,Christopher DeFilippi,James L. Januzzi

Abstract 10637: A Pooled Multi-National Validation Study of a Machine Learning, High-Sensitivity Troponin-Based Multi-Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease as Compared to High Sensitivity Troponin Alone in a Subset of Patients with Diabetes

2021

Raghav Gattani
Emmanuel Ekanem
Araba Ofosu-Somuah
Johannes T. Neumann
Cian P. McCarthy
Palak Shah
Craig A. Magaret
Rhonda F. Rhyne
Grady Barnes
Céline Peters
Dirk Westermann
Christopher DeFilippi
James L. Januzzi

Introduction: Diabetes Mellitus (DM) is a major risk factor for coronary artery disease (CAD) associated with a two-fold increase in mortality. We aimed to validate the performance of a machine lea...

Keywords:

Cardiology
Risk factor
Coronary artery disease
Diabetes mellitus
Internal medicine
high sensitivity troponin
validation study
multi national
Medicine

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