Aggregate Clinical and Biomarker-Based Model Predicts Adverse Outcomes in Patients With Coronary Artery Disease-Reference-Cited by-同舟云学术

Aggregate Clinical and Biomarker-Based Model Predicts Adverse Outcomes in Patients With Coronary Artery Disease

Published:2023-09 Issue: Volume:203 Page:315-324
ISSN:0002-9149
Container-title:The American Journal of Cardiology
language:en
Short-container-title:The American Journal of Cardiology

Author:

Desai Shivang R.^ORCID,Dhindsa Devinder S.,Ko Yi-An,Sandesara Pratik B.,Mehta Anurag,Liu Chang,Tahhan Ayman S.,Hayek Salim S.,Ejaz Kiran,Hooda Ananya,Alkhoder Ayman,Islam Shabatun J.,Rogers Steven C.,Beshiri Agim,Murtagh Gillian,Kim Jonathan H.,Wilson Peter,Almuwaqqat Zakaria,Sperling Laurence S.,Quyyumi Arshed A.^ORCID

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

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4. Soluble urokinase plasminogen activator receptor level is an independent predictor of the presence and severity of coronary artery disease and of future adverse events;Eapen;J Am Heart Assoc,2014

5. Aggregate risk score based on markers of inflammation, cell stress, and coagulation is an independent predictor of adverse cardiovascular outcomes;Eapen;J Am Coll Cardiol,2013

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1. Optimizing the Clinical Use of High-Sensitivity Troponin Assays: A Review;Diagnostics;2023-12-30

2. Multi-proteomic Biomarker Risk Scores for Predicting Risk and Guiding Therapy in Patients with Coronary Artery Disease;Current Cardiology Reports;2023-12