Cardiopulmonary exercise testing in patients with asymptomatic left ventricular dysfunction: lack of prognostic

Ugo Corrà1, Andrea Giordano2, Fabiana Isabella Gambarin1

  • 1Cardiology Department, Istituti Clinici Scientifici Maugeri, Institute of VERUNO, Via per Revislate, 13, 28013 Veruno, NO, Italy.

Insights

Cardiopulmonary exercise testing (CPET) can predict outcomes in asymptomatic left ventricular dysfunction (ALVD) patients, but uses different parameters than in heart failure (HF) patients. Further research is needed to fully understand CPET

Area of Science:

  • Cardiology
  • Exercise Physiology
  • Prognostic Biomarkers

Background:

  • Cardiopulmonary exercise testing (CPET) is increasingly used for asymptomatic left ventricular dysfunction (ALVD) patients, extending beyond its established role in chronic heart failure (HF).
  • The prognostic value of CPET in ALVD remains less clear compared to HF patients.

Purpose of the Study:

  • To determine if CPET can predict clinical outcomes in patients with ALVD.
  • To identify which CPET parameters predictive of outcomes in HF patients are also effective in ALVD patients.

Main Methods:

  • A cohort of 585 ALVD patients (LVEF ≤ 40% without HF symptoms) and 695 HF patients were screened for cardiac death.
  • Key CPET parameters including peak oxygen consumption (pVO2), exertional oscillatory ventilation (EOV), and ventilatory response (VE/VCO2 slope) were compared between survivors and non-survivors.

Main Results:

  • ALVD patients were younger and had a lower incidence of cardiac death compared to HF patients.
  • Non-survivors in the ALVD group showed a significantly higher incidence of EOV, lower pVO2, and a higher VE/VCO2 slope compared to survivors.
  • No single ventilatory parameter demonstrated prognostic value in multivariable analysis for ALVD patients.

Conclusions:

  • CPET can predict adverse events in ALVD patients, but the specific parameters for risk stratification differ from those used in HF.
  • Further multi-center trials are necessary to precisely quantify the predictive impact of CPET parameters in ALVD.
Abstract

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