TY - JOUR
T1 - Amino-Terminal Pro-B-Type Natriuretic Peptide for Risk Prediction in Acute Decompensated Heart Failure
AU - Scrutinio, Domenico
AU - Guida, Pietro
AU - Passantino, Andrea
AU - Lagioia, Rocco
AU - Pepe, Silvana
AU - Catanzaro, Raffaella
AU - Santoro, Daniela
PY - 2012/11
Y1 - 2012/11
N2 - 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.
AB - 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.
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U2 - 10.1111/j.1751-7133.2012.00301.x
DO - 10.1111/j.1751-7133.2012.00301.x
M3 - Article
C2 - 22762288
AN - SCOPUS:84869861843
SN - 1527-5299
VL - 18
SP - 308
EP - 314
JO - Prevention and Management of Congestive Heart Failure
JF - Prevention and Management of Congestive Heart Failure
IS - 6
ER -