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Supportive Care in Heart Failure$
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James Beattie and Sarah Goodlin

Print publication date: 2008

Print ISBN-13: 9780198570288

Published to Oxford Scholarship Online: November 2011

DOI: 10.1093/acprof:oso/9780198570288.001.0001

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Mortality Risk Assessment and Prognostication

Mortality Risk Assessment and Prognostication

Chapter:
(p.393) Chapter 21 Mortality Risk Assessment and Prognostication
Source:
Supportive Care in Heart Failure
Author(s):

Maral Ouzounian

Jack V. Tu

Peter C. Austin

Douglas S. Lee

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780198570288.003.0021

This chapter summarizes the available clinical methods for mortality risk assessment and prognostication in heart failure (HF). It begins by introducing the risk assessment and prognostication using clinical prediction methods. It also describes the classical predictors of HF mortality and HF mortality scores. It then reviews ten published HF mortality scores, and in this overview, it attempts to capture diverse populations and methodologies in order to portray the breadth of available prognostic models. Additionally, considerations of the development of HF risk prediction models are presented. Before implementing a clinical prediction rule (CPR), a physician or researcher should consider a number of factors: the characteristics of the population, the feasibility of obtaining the specified variables, and the relevance of the primary outcome. Impact of HF prognostication on supportive care is covered as well.

Keywords:   heart failure, mortality, risk assessment, prognostication, prediction models, supportive care

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