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Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis.

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Bibliographic Details
Title:	Predicting in-hospital mortality after an in-hospital cardiac arrest: A multivariate analysis.
Authors:	Alnabelsi T; Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, United States.; College of Medicine, University of Kentucky, Lexington, KY, United States., Annabathula R; College of Medicine, University of Kentucky, Lexington, KY, United States., Shelton J; Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, United States., Paranzino M; Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, United States., Faulkner SP; College of Medicine, University of Kentucky, Lexington, KY, United States., Cook M; College of Medicine, University of Kentucky, Lexington, KY, United States., Dugan AJ; Department of Biostatistics, University of Kentucky, Lexington, KY, United States., Nerusu S; Performance Analytics Center of Excellence, University of Kentucky, Lexington, KY 40536, United States., Smyth SS; Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, United States., Gupta VA; Gill Heart and Vascular Institute, Division of Cardiovascular Medicine, University of Kentucky, Lexington, KY, United States.
Source:	Resuscitation plus [Resusc Plus] 2020 Nov 07; Vol. 4, pp. 100039. Date of Electronic Publication: 2020 Nov 07 (Print Publication: 2020).
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101774410 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-5204 (Electronic) Linking ISSN: 26665204 NLM ISO Abbreviation: Resusc Plus Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2666-5204
DOI:	10.1016/j.resplu.2020.100039