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Critical Appraisal of Multivariable Prognostic Scores in Heart Failure: Development, Validation and Clinical Utility

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Heart Failure: From Research to Clinical Practice

Part of the book series: Advances in Experimental Medicine and Biology ((AIM,volume 1067))

Abstract

Optimal management of heart failure requires accurate risk assessment. Many prognostic risk models have been proposed for patient with chronic and acute heart failure. Methodological critical issues are the data source, the outcome of interest, the choice of variables entering the model, the validation of the model in external population. Up to now, the proposed risk models can be a useful tool to help physician in the clinical decision-making. The availability of big data and of new methods of analysis may lead to developing new models in the future.

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Authors and Affiliations

  1. Division of Cardiology and Cardiac Rehabilitation, Scientific Clinical Institutes Maugeri, I.R.C.C.S., Institute of Cassano delle Murge, Bari, Italy

    Andrea Passantino, Pietro Guida & Domenico Scrutinio

  2. School of Cardiology, Aldo Moro University of Bari, Bari, Italy

    Giuseppe Parisi

  3. Cardiology Unit, Cardiothoracic Department, Policlinic University Hospital, Bari, Italy

    Massimo Iacoviello

Authors
  1. Andrea Passantino
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  2. Pietro Guida
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  3. Giuseppe Parisi
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  4. Massimo Iacoviello
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  5. Domenico Scrutinio
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Corresponding author

Correspondence to Andrea Passantino .

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Editors and Affiliations

  1. Department of Clinical Sciences and Education, Karolinska Institutet, Stockholm, Sweden

    Md. Shahidul Islam

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Passantino, A., Guida, P., Parisi, G., Iacoviello, M., Scrutinio, D. (2017). Critical Appraisal of Multivariable Prognostic Scores in Heart Failure: Development, Validation and Clinical Utility. In: Islam, M. (eds) Heart Failure: From Research to Clinical Practice. Advances in Experimental Medicine and Biology(), vol 1067. Springer, Cham. https://doi.org/10.1007/5584_2017_135

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  • DOI: https://doi.org/10.1007/5584_2017_135

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78279-9

  • Online ISBN: 978-3-319-78280-5

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