Prognostic value of neurohormonal activation and cardiopulmonary exercise testing in patients with chronic heart

R Isnard1, F Pousset, J Trochu

  • 1service de Cardiologie, Institut Fédératif de Recherche 14 "Heart, vessels, muscle" Hôpital Pitié-Salpêtrière, Paris, France. richard.isnard@psl.ap-hop-paris.fr

Insights

Plasma neurohormones like atrial natriuretic peptide (ANP) and norepinephrine offer superior long-term prognostic value in moderate congestive heart failure (CHF) compared to exercise testing alone. These biomarkers help identify high-risk patients more effectively.

Area of Science:

  • Cardiology
  • Biomarkers
  • Prognostics

Background:

  • Congestive heart failure (CHF) management requires accurate long-term prognostic tools.
  • Cardiopulmonary exercise testing (CPET) is a common prognostic indicator.
  • The role of plasma neurohormones in predicting CHF outcomes needs further elucidation.

Purpose of the Study:

  • To compare the prognostic value of plasma neurohormones and CPET in patients with moderate CHF.
  • To identify independent predictors of long-term adverse events in CHF patients.

Main Methods:

  • 264 patients with CHF and left ventricular systolic dysfunction were studied.
  • Plasma levels of atrial natriuretic peptide (ANP), norepinephrine, and endothelin-1 were measured at rest.
  • Patients underwent symptom-limited maximal exercise testing to determine peak oxygen consumption (VO(2)).

Main Results:

  • Plasma ANP, left ventricular ejection fraction, and plasma norepinephrine were independent predictors of death or urgent heart transplantation in multivariate analysis.
  • Peak VO(2) and its percentage of predicted value were not independent predictors.
  • Plasma ANP and norepinephrine provided additional prognostic information beyond exercise testing.

Conclusions:

  • Plasma ANP and norepinephrine measurements are valuable complementary or alternative tools for prognostic determination in moderate CHF.
  • Routine measurement of these neurohormones can aid in identifying high-risk CHF patients.
  • This approach enhances risk stratification beyond traditional exercise testing.

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