Amino-Terminal Pro-B-Type Natriuretic Peptide for Risk Prediction in Acute Decompensated Heart Failure

Domenico Scrutinio, Pietro Guida, Andrea Passantino, Rocco Lagioia, Silvana Pepe, Raffaella Catanzaro, Daniela Santoro

Research output: Contribution to journalArticlepeer-review


Amino-terminal pro-B-type natriuretic peptide (NT-proBNP) has been associated with prognosis in heart failure. The aim of this study was to assess whether NT-proBNP enhances risk prediction in acute decompensated heart failure (ADHF). The authors enrolled 453 patients hospitalized for ADHF. The primary outcome was 12-month mortality. Two separate multivariable predictive models were built by using standard variables-only and NT-proBNP concentrations. The models were internally validated using the bootstrapping method. Twelve-month mortality was 28.3%. There was no statistical evidence of overfit. Compared with the standard variables-only model, the NT-proBNP model had a better predictive performance as judged by the Nagelkerke R2 (0.410 vs 0.374) and the Brier score (0.136 vs 0.141), which are measures of overall performance; the Akaike Information Criterion (399.2 vs 415.0), which is a tool for model selection; and the C index (0.844 vs 0.831), which is a measure of the discriminative ability. Both models were well calibrated, as judged by the Hosmer-Lemeshow chi-square test. Both models predicted 12-month mortality significantly better than the Enhanced Feedback for Effective Cardiology Treatment risk score. In conclusion, the NT-proBNP model improved risk prediction compared with the standard variables-only model.

Original languageEnglish
Pages (from-to)308-314
Number of pages7
JournalCongestive Heart Failure
Issue number6
Publication statusPublished - Nov 2012

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Emergency Medicine
  • Emergency


Dive into the research topics of 'Amino-Terminal Pro-B-Type Natriuretic Peptide for Risk Prediction in Acute Decompensated Heart Failure'. Together they form a unique fingerprint.

Cite this