Left ventricular-arterial coupling parameters predict incident cardiovascular events and mortality in UK Biobank

Chaoyang Lin1, Yixin Yang1, Qianyao Lai1

  • 1Department of Cardiology, Fujian Medical University Union Hospital, Fujian Cardiovascular Medical Center, Fujian Institute of Coronary Artery Disease, Fujian Cardiovascular Research Center, Fuzhou, PR China; School of Health, Fujian Medical University, Fuzhou, PR China.

Insights

Novel non-invasive ventricular-arterial coupling (VAC) parameters effectively predict cardiovascular diseases (CVD) and mortality in the general population. These metrics enhance risk assessment, particularly for heart failure (HF) and stroke.

Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Clinical Cardiology

Background:

  • Ventricular-arterial coupling (VAC) is crucial for cardiovascular efficiency but its predictive capacity for cardiovascular disease (CVD) in the general population remains understudied.
  • Novel non-invasive VAC parameters, including ratios of arterial stiffness index to global longitudinal strain (ASI/GLS), estimated pulse wave velocity to GLS (ePWV/GLS), and left ventricular end-systolic volume to stroke volume (LVESV/LVSV), require evaluation.

Purpose of the Study:

  • To assess the predictive value of three novel non-invasive VAC parameters for incident atrial fibrillation (AF), stroke, heart failure (HF), coronary heart disease (CHD), and mortality.
  • To determine if these VAC parameters offer incremental prognostic information beyond traditional risk factors.

Main Methods:

  • Analysis of UK Biobank participants without pre-existing significant CVD or major cardiac surgery.
  • Derivation of VAC parameters using arterial stiffness metrics and cardiac magnetic resonance (CMR) imaging.
  • Assessment of associations with incident CVD outcomes and mortality using multivariable Cox or Fine-Gray models, with FDR correction and evaluation of incremental prognostic value.

Main Results:

  • In 38,144 participants followed for a median of 4.82 years, all three VAC parameters were associated with increased risk of AF, stroke, HF, all-cause mortality, and CVD mortality (ASI/GLS showed no significant association with CHD).
  • VAC parameters provided substantial incremental value for predicting incident HF, improving C-indices and reclassification metrics.
  • ePWV/GLS independently predicted incident AF, HF, and CHD, while all three VAC parameters independently predicted stroke.

Conclusions:

  • Non-invasive VAC parameters demonstrate predictive capability for various adverse cardiovascular outcomes in the general population.
  • Integrating ASI/GLS or ePWV/GLS into conventional risk assessment models can improve prognostic accuracy in specific clinical contexts, especially for HF prediction.
Abstract

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