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

Andrea Passantino, Pietro Guida, Giuseppe Parisi, Massimo Iacoviello, Domenico Scrutinio

Research output: Contribution to journalReview article

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.

Original languageEnglish
Pages (from-to)387-403
Number of pages17
JournalAdvances in Experimental Medicine and Biology
Volume1067
DOIs
Publication statusPublished - 2018

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Heart Failure
Information Storage and Retrieval
Physicians
Population
Risk assessment
Decision making
Availability
Clinical Decision-Making

Keywords

  • Heart Failure/diagnosis
  • Humans
  • Models, Statistical
  • Multivariate Analysis
  • Prognosis
  • Reproducibility of Results

Cite this

Critical Appraisal of Multivariable Prognostic Scores in Heart Failure : Development, Validation and Clinical Utility. / Passantino, Andrea; Guida, Pietro; Parisi, Giuseppe; Iacoviello, Massimo; Scrutinio, Domenico.

In: Advances in Experimental Medicine and Biology, Vol. 1067, 2018, p. 387-403.

Research output: Contribution to journalReview article

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