Simple Risk Algorithm to Predict Serious Bleeding in Patients With ST-Segment Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention
Author:
Affiliation:
1. University of Belgrade School of Medicine
2. Clinical Center of Serbia, Emergency Hospital and Cardiology Clinic, Coronary Care Unit
3. Institute for Medical Statistics and Informatics
Publisher
Japanese Circulation Society
Subject
Cardiology and Cardiovascular Medicine,General Medicine
Link
https://www.jstage.jst.go.jp/article/circj/77/7/77_CJ-12-1177/_pdf
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The prevalence of bleeding after percutaneous coronary interventions: A systematic review and meta-analysis;Indian Heart Journal;2024-01
2. Impact of the Japanese Version of High Bleeding Risk Criteria on Clinical Outcomes in Patients with ST-segment Elevation Myocardial Infarction;Journal of Atherosclerosis and Thrombosis;2023
3. Association of Dephosphorylated-Uncarboxylated Matrix Gla Protein and Risk of Major Bleeding in Patients Presenting with Acute Myocardial Infarction;Life;2021-07-23
4. Artificial intelligence in percutaneous coronary intervention: improved risk prediction of PCI-related complications using an artificial neural network;BMJ Innovations;2021-03-30
5. Development and validation of risk prediction score for incisional surgical site infection after appendectomy;Updates in Surgery;2021-01-04
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