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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.
Background:
Ventricular-arterial coupling (VAC) is fundamental to cardiovascular efficiency, but its value for predicting cardiovascular disease (CVD) in the general population is unclear. This study aimed to evaluate the predictive value of three novel non-invasive VAC parameters-the ratio 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)-for incident atrial fibrillation (AF), stroke, heart failure (HF), coronary heart disease (CHD), all-cause and CVD mortality.
Methods:
We analyzed UK Biobank participants free of baseline significant structural CVD or prior major cardiac surgery. VAC parameters were derived from arterial stiffness metrics and cardiac magnetic resonance (CMR). Associations were assessed using multivariable Cox or Fine-Gray models with false discovery rate (FDR) correction. Incremental prognostic value was evaluated using likelihood ratio tests, C-indices, and continuous net reclassification improvement (NRI).
Results:
The study included 38,144 participants (mean age 63.5 ± 7.5 years; 47.2% men) with a median follow-up of 4.82 years. After adjustment for clinical features, all three VAC parameters were associated with increased risk of AF, stroke, HF, CHD, all-cause and CVD mortality (except ASI/GLS for CHD). For incident HF, the addition of VAC parameters yielded substantial incremental value, raising C-indices to 0.789-0.835 with NRIs of 11.0%-24.1%. Beyond some respective conventional CMR indices, all three VAC parameters remained independent predictors for incident stroke, whereas ePWV/GLS was specifically independent for incident AF (hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.10-1.29), HF (HR 1.26, 95% CI 1.11-1.43), and CHD (HR 1.11, 95% CI 1.001-1.23). Furthermore, while VAC parameters were independently associated with all-cause mortality regardless of LVEF, their associations with CVD mortality were largely attenuated by LVEF.
Conclusion:
In the general population, non-invasive VAC parameters predict various adverse cardiovascular outcomes. Incorporating ASI/GLS or ePWV/GLS into traditional risk assessment enhances prognostic value in specific clinical scenarios.
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