Exercise haemodynamic variables rather than ventilatory efficiency indexes contribute to risk assessment in chronic

Ugo Corrà1, Alessandro Mezzani, Andrea Giordano

  • 1Laboratory for the Analysis of Cardio-Respiratory Signals, Division of Cardiology, Salvatore Maugeri Foundation, IRCCS, Via per Revislate, 13, 28010 Veruno (NO), Italy. ugo.corra@fsm

Insights

Cardiopulmonary exercise testing (CPET) parameters predict outcomes in chronic heart failure (CHF) patients on beta-blockers. Peak systolic blood pressure (SBP) and peak circulatory power (CP) are strong predictors, with exertional oscillatory ventilation (EOV) offering additional risk stratification.

Area of Science:

  • Cardiology
  • Exercise Physiology
  • Clinical Medicine

Background:

  • Beta-blocker therapy is standard for chronic heart failure (CHF).
  • Prognostic assessment in CHF patients on beta-blockers requires refined risk stratification.
  • Cardiopulmonary exercise testing (CPET) provides valuable physiological data.

Purpose of the Study:

  • To determine the prognostic significance of traditional CPET parameters.
  • To evaluate CPET's role in predicting cardiovascular death in CHF patients treated with beta-blockers.

Main Methods:

  • Prospective follow-up of 631 CHF patients treated with beta-blockers.
  • Analysis of traditional CPET parameters including peak systolic blood pressure (SBP), peak circulatory power (CP), and exertional oscillatory ventilation (EOV).
  • Univariate and multivariable analyses to assess risk prediction for cardiovascular death.

Main Results:

  • All CPET parameters were associated with outcome at univariate analysis.
  • Hemodynamic parameters, specifically peak SBP and peak CP, showed the highest predictive value.
  • Exertional oscillatory ventilation (EOV) was detected in 7% of patients and was associated with significantly higher mortality.
  • Peak SBP emerged as the strongest independent risk index in both the overall and non-EOV populations.

Conclusions:

  • Traditional CPET parameters are informative for risk stratification in CHF patients on beta-blockers.
  • Peak SBP, peak CP, and EOV are the most predictive CPET parameters.
  • EOV enhances risk stratification, particularly in a low-risk population, though its prevalence is low.
  • Peak SBP provides significant risk evaluation beyond other CPET parameters in the majority of patients without EOV.
Abstract

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