Risk of in-hospital mortality identified according to the typology of patients with acute heart failure: Classification tree analysis on data from the Acute Heart Failure Database

Risk of in-hospital mortality identified according to the typology of patients with acute heart failure: Classification tree analysis on data from the Acute Heart Failure Database–Main registry

Published:2013-06 Issue:3 Volume:28 Page:250-258
ISSN:0883-9441
Container-title:Journal of Critical Care
language:en
Short-container-title:Journal of Critical Care

Author:

Tomcikova Daniela,Felsoci Marian,Spinar Jindrich,Miklik Roman,Mikusova Tereza,Vitovec Jiri,Spinarova Lenka,Widimsky Petr,Linhart Ales,Belohlavek Jan,Fedorco Marian,Cihalik Cestmir,Malek Filip,Bambuch Miroslav,Vaclavik Jan,Kettner Jiri,Jarkovsky Jiri,Dusek Ladislav,Parenica Jiri

Publisher

Elsevier BV

Subject

Critical Care and Intensive Care Medicine

Reference25 articles.

1. Executive summary of the guidelines on the diagnosis and treatment of acute heart failure;Nieminen;Eur Heart J,2005

2. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008;Task;Eur J Heart Fail,2008

3. Clinical presentation, management and outcomes in the Acute Heart Failure Global Survey of Standard Treatment (ALARM-HF);Follath;Intensive Care Med,2011

4. Characteristics, outcomes, and predictors of 1-year mortality in patients hospitalized for acute heart failure;Siirilä-Waris;Eur Heart J,2006

5. Baseline characteristics and hospital mortality in the Acute Heart Failure Database (AHEAD) Main registry;Spinar;Crit Care,2011

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