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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

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Development of a novel heart failure risk tool: the barcelona bio-heart failure risk calculator (BCN bio-HF

Josep Lupón1, Marta de Antonio1, Joan Vila2

  • 1Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain ; Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain.

Plos One
|January 24, 2014
PubMed

Insights

A new heart failure (HF) risk calculator integrates biomarkers like NT-proBNP, hs-cTnT, and ST2 to improve patient mortality prediction. This tool enhances risk stratification by combining clinical data with pathophysiological markers.

Area of Science:

  • Cardiology
  • Biomarkers
  • Risk Stratification

Background:

  • Heart failure (HF) risk stratification can be improved by combining clinical data with biomarkers.
  • A novel BCN Bio-HF calculator was developed using N-terminal pro B-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-cTnT), and high-sensitivity soluble ST2 (ST2).

Purpose of the Study:

  • To develop and evaluate a novel risk calculator for predicting mortality in heart failure patients.
  • To assess the performance of a calculator incorporating clinical data and key biomarkers.

Main Methods:

  • Model performance evaluated using discrimination, calibration, and reclassification for 1-, 2-, and 3-year mortality.
  • Ten-fold cross-validation with 1000 bootstrapping was employed.
  • The calculator was derived from 864 outpatients and included variables such as age, NYHA class, LVEF, eGFR, and biomarker levels (hs-cTnT, ST2, NT-proBNP).

Main Results:

  • The BCN Bio-HF calculator incorporates clinical variables and biomarkers (NT-proBNP, hs-cTnT, ST2).
  • The calculator can function with none, one, two, or all three biomarkers, with additive biomarker data significantly altering risk prediction.
  • The average C-statistic in cross-validation was 0.79, indicating good predictive performance.

Conclusions:

  • A new heart failure risk calculator incorporating biomarkers improves individual prediction of death at 1, 2, and 3 years.
  • The BCN Bio-HF calculator offers enhanced risk stratification by reflecting diverse pathophysiological pathways.
Abstract

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