Are Unselected Risk Scores in the Cardiac Intensive Care Unit Needed?
Author:
Affiliation:
1. Section of Cardiovascular Medicine Yale School of Medicine New Haven CT
2. Department of Cardiovascular Medicine Mayo Clinic Rochester MN
3. Division of Cardiovascular Medicine Duke University Durham NC
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Cardiology and Cardiovascular Medicine
Link
https://www.ahajournals.org/doi/pdf/10.1161/JAHA.121.021940
Reference19 articles.
1. Derivation and Validation of a Novel Cardiac Intensive Care Unit Admission Risk Score for Mortality
2. Prevalence of Noncardiac Multimorbidity in Patients Admitted to Two Cardiac Intensive Care Units and Their Association with Mortality
3. Admission diagnosis and mortality risk prediction in a contemporary cardiac intensive care unit population
4. Electronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit
5. Risk scores for risk stratification in acute coronary syndromes: useful but simpler is not necessarily better
Cited by 7 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 Role of Prognostic Scores in Assessing the Prognosis of Patients Admitted in the Cardiac Intensive Care Unit: Emphasis on Heart Failure Patients;Journal of Clinical Medicine;2024-05-19
2. Clinical complexity of an Italian cardiovascular intensive care unit: the role of mortality and severity risk scores;Journal of Cardiovascular Medicine;2024-05-15
3. Usefulness of the Quick-Sepsis Organ Failure Assessment Score in Cardiovascular Intensive Care Unit to Predict Prognosis in Acute Coronary Syndrome;Clinical and Applied Thrombosis/Hemostasis;2023-01
4. Clinical applications of artificial intelligence and machine learning in the modern cardiac intensive care unit;Intelligence-Based Medicine;2023
5. Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches;Frontiers in Artificial Intelligence;2022-05-31
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3