Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances

Clinical Predictive Models of Sudden Cardiac Arrest: A Survey of the Current Science and Analysis of Model Performances

Background More than 500 000 sudden cardiac arrests (SCAs) occur annually in the United States. Clinical predictive models (CPMs) may be helpful tools to differentiate between patients who are likely to survive or have good neurologic recovery and those who are not. However, which CPMs are most reli...

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Bibliographic Details
Main Authors: Richard T. Carrick, Jinny G. Park, Hannah L. McGinnes, Christine Lundquist, Kristen D. Brown, W. Adam Janes, Benjamin S. Wessler, David M. Kent
Format: Article
Language:English
Published: Wiley 2020-08-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
cardiac arrest
prediction
sudden cardiac death
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.119.017625

Internet

https://www.ahajournals.org/doi/10.1161/JAHA.119.017625

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