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Risk Stratification Models and Predictors of Mortality in Acute Heart Failure Syndromes, Based on United States Registries

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Acute Heart Failure
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Abstract

Heart failure causes considerable morbidity and mortality and produces a tremendous burden on health care systems worldwide. In the United States, heart failure resulted in 1.1 million hospitalizations and entailed an annual estimated cost of $29 to $56 billion.(1) The in-hospital mortality rates reported for acute heart failure has varied greatly, ranging from 2% to 20%. Prognosis is also reported to be very poor postdischarge; the mortality risk after acute heart failure hospitalization has been reported to be as high as 11.3% at 30 days and 33.1% at 1 year.(2) In addition, patients also face a high risk of rehospitalization. In a study of almost 18,000 Medicare recipients, approximately 44% were rehospitalized at least once in the 6 months following their index hospitalization.(3) These statistics emphasize the need for clinically practical methods of risk stratification for patients hospitalized with acute heart failure syndromes as well as the need to develop and implement more effective strategies to manage heart failure.

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References

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© 2008 Springer-Verlag London Limited

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Fonarow, G.C. (2008). Risk Stratification Models and Predictors of Mortality in Acute Heart Failure Syndromes, Based on United States Registries. In: Mebazaa, A., Gheorghiade, M., Zannad, F.M., Parrillo, J.E. (eds) Acute Heart Failure. Springer, London. https://doi.org/10.1007/978-1-84628-782-4_2

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  • DOI: https://doi.org/10.1007/978-1-84628-782-4_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-781-7

  • Online ISBN: 978-1-84628-782-4

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