A novel risk stratification system “Angiographic GRACE Score” for predicting in-hospital mortality of patients with acute myocardial infarction: Data from the K-ACTIVE Registry-Reference-Cited by-同舟云学术

A novel risk stratification system “Angiographic GRACE Score” for predicting in-hospital mortality of patients with acute myocardial infarction: Data from the K-ACTIVE Registry

Published:2021-02 Issue:2 Volume:77 Page:179-185
ISSN:0914-5087
Container-title:Journal of Cardiology
language:en
Short-container-title:Journal of Cardiology

Author:

Mitarai Takanobu,Tanabe Yasuhiro^ORCID,Akashi Yoshihiro J.,Maeda Atsuo,Ako Junya,Ikari Yuji,Ebina Toshiaki,Namiki Atsuo,Fukui Kazuki,Michishita Ichiro,Kimura Kazuo,Suzuki Hiroshi

Funder

Daiichi Sankyo Company

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference24 articles.

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3. Management and two-year long-term clinical outcome of acute coronary syndrome in Japan: prevention of atherothrombotic incidents following ischemic coronary attack (PACIFIC) registry;Daida;Circ J,2013

4. Imaging-guided PCI for event suppression in Japanese acute coronary syndrome patients: community-based observational cohort registry;Yamashita;Cardiovasc Interv Ther,2020

5. Use of thrombolysis in myocardial infarction risk score to predict bleeding complications in patients with unstable angina and non-ST elevation myocardial infarction undergoing percutaneous coronary intervention;Numasawa;Cardiovasc Interv Ther,2013

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1. Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients;International Journal of Cardiology;2024-08

2. Predictive Value of the Modified GRACE Scoring System for All-Cause Mortality in Patients with Acute Myocardial Infarction;Reviews in Cardiovascular Medicine;2023-06-06

3. Relation of GRACE Risk Score to Coronary Lipid Core Plaques in Patients with Acute Coronary Syndrome;Life;2023-02-24

4. Complete versus culprit-only revascularization in non-ST-segment elevation myocardial infarction and multivessel coronary artery disease;Srpski arhiv za celokupno lekarstvo;2023

5. Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction;Journal of Cardiovascular Development and Disease;2022-02-11