Incremental utility of prognostic variables at discharge for risk prediction in hospitalized patients with acutely decompensated chronic heart failure

Heart Lung. 2016 May-Jun;45(3):212-9. doi: 10.1016/j.hrtlng.2016.03.004. Epub 2016 Apr 8.

Abstract

Objectives: To assess the incremental prognostic utility of discharge serum creatinine (SCr), systolic blood pressure (SBP), and NT-proBNP and sodium concentrations in hospitalized patients with acutely decompensated chronic heart failure.

Background: Whether key prognostic variables at discharge provide incremental prognostic information beyond that provided by a model based on admission variables (referent) remains incompletely defined.

Methods: The primary outcome was a composite of death, urgent heart transplantation, or ventricular assist device implantation at 1 year. The gain in predictive performance was assessed using C index, Bayesian Information Criterion, and Net Reclassification Improvement.

Results: The best fit was obtained when discharge NT-proBNP was added to the referent model. No interaction between admission and discharge NT-proBNP was found. Discharge SCr, SBP, and sodium did not improve goodness-of-fit.

Conclusions: Admission and discharge NT-proBNP provide complementary and independent prognostic information; as such, they should be taken into account concurrently.

Keywords: Acutely decompensated chronic heart failure; Admission N-terminal Pro-B-Type natriuretic peptide; Discharge N-terminal Pro-B-Type natriuretic peptide; Prognosis; Risk stratification.

Publication types

  • Multicenter Study

MeSH terms

  • Aged
  • Bayes Theorem*
  • Disease Progression
  • Female
  • Follow-Up Studies
  • Heart Failure / diagnosis
  • Heart Failure / epidemiology*
  • Heart Failure / therapy
  • Heart Transplantation
  • Heart-Assist Devices
  • Hospitalization / trends
  • Humans
  • Incidence
  • Italy / epidemiology
  • Male
  • Predictive Value of Tests
  • Prognosis
  • Retrospective Studies
  • Risk Assessment / statistics & numerical data*
  • Risk Factors
  • Time Factors