[Predictive value of cardiopulmonary exercise testing in various categories of patients with chronic heart value]

Kardiologiia
|May 8, 2014
PubMed

Insights

Cardiopulmonary exercise testing (CPET) parameters, including the Heart Failure Survival Score (HFSS), effectively predict cardiovascular mortality and hospitalizations in chronic heart failure (CHF) patients. Prognostic value varies by gender, age, LVEF, and cardiac rhythm.

Area of Science:

  • Cardiology
  • Exercise Physiology
  • Clinical Medicine

Context:

  • Chronic heart failure (CHF) management relies on accurate prognostic indicators.
  • Optimal medical treatment is standard for CHF patients.
  • Cardiopulmonary exercise testing (CPET) offers valuable physiological data.

Purpose:

  • To determine the prognostic significance of CPET parameters in CHF patients.
  • To analyze how gender, age, left ventricular ejection fraction (LVEF), cardiac rhythm, and respiratory exchange ratio (RER) achievement modify prognostic value.
  • To compare the predictive power of CPET indices against the Heart Failure Survival Score (HFSS).

Summary:

  • The Heart Failure Survival Score (HFSS) demonstrated the highest predictive value for cardiovascular mortality (CVM) and combined endpoints (CVM or hospitalization) across most patient subgroups.
  • Ventilatory indices (VE/VCO2, ventilatory class, PetCO2 peak) and VO2peak were significant predictors, particularly in men, younger patients (<65 years), those with reduced LVEF (<45%), and sinus rhythm.
  • Prognostic significance of blood pressure response and heart rate recovery was limited to patients with sinus rhythm. Achieving a target RER ≥ 1.0 was uncommon (40.5%), but VO2 peak remained predictive even when not achieved.

Impact:

  • Identifies the strongest predictors of adverse outcomes in diverse CHF populations.
  • Highlights the importance of considering patient-specific factors (gender, age, LVEF, rhythm) when interpreting CPET results.
  • Supports the integration of CPET and HFSS into routine CHF assessment for improved risk stratification and treatment guidance.
Abstract

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