Prehospital ECG with ST-depression and T-wave inversion are associated with new onset heart failure in individuals transported by ambulance for suspected acute coronary syndrome-Reference-Cited by-同舟云学术

Prehospital ECG with ST-depression and T-wave inversion are associated with new onset heart failure in individuals transported by ambulance for suspected acute coronary syndrome

Published:2021-11 Issue: Volume:69 Page:23-28
ISSN:0022-0736
Container-title:Journal of Electrocardiology
language:en
Short-container-title:Journal of Electrocardiology

Author:

Zègre-Hemsey Jessica K.,Hogg Melanie,Crandell Jamie,Pelter Michele M.,Gettes Len,Chung Eugene H.,Pearson David,Tochiki Pilar,Studnek Jonathan R.,Rosamond Wayne

Funder

National Center for Advancing Translational Sciences

National Institutes of Health

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference20 articles.

1. Implementation and Integration of Prehospital ECGs Into Systems of Care for Acute Coronary Syndrome

2. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines;O’Gara;Circulation,2013

3. Influence of updated guidelines on short- and long-term mortality in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS);Vogel;Int J Cardiol,2012

4. Development of systems of care for ST-elevation myocardial infarction patients: the physician perspective;Sanz;Circulation,2007

5. Fourth universal definition of myocardial infarction (2018);Thygesen;Circulation,2018

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3. Integrating multimodal information in machine learning for classifying acute myocardial infarction;Physiological Measurement;2023-04-01

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5. Numerical Simulations of Coronary Artery Diseases Using a Differential Hybrid Petri Net Model of the Cardiovascular System;2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS);2022-05-27