Role of Global Longitudinal Strain in the Prediction of Outcome in Patients With Severe Aortic Valve Stenosis

Abstract

In the present study, we assessed the role of Global Longitudinal Strain (GLS) as a predictor of all-cause mortality in patients with severe aortic valve stenosis (AS), irrespective of their type of treatment. Data of 807 patients with AS receiving complete echocardiographic and clinical examination were retrospectively analyzed. Valve area <1cm2 and sufficient image quality were inclusion criteria; patients with severe concomitant valvulopathy were excluded. Patients were grouped into treatment (aortic valve replacement [AVR]) and conservative (non-AVR) groups. Multivariable Cox analysis was used to assess predictors of all-cause mortality. Five hundred fourteen patients were included and 53.3% were of male gender. Mean age at inclusion was 76.4 ± 9.8years; 326 received AVR. Death from any cause occurred in 72.9% of non-AVR group and 17.8% of AVR group (p <0.001). GLS (expressed as |%|) was found to be an independent predictor of all-cause mortality in non-AVR group (hazard ratio [HR] 0.933, 95% CI 0.854 to 0.987, p= 0.038). In patients receiving AVR, GLS and history of coronary artery bypass graft were found to be independent predictors of all-cause mortality (HR for GLS 0.912, 95% CI 0.730 to 0.999, p=0.048; HR for coronary artery bypass graft 2.977, 95% CI 1.014 to 6.273, p= 0.013). In non-AVR patients, GLS <9.7% showed a higher 1- and 5-year mortality (log rank pvalues of 0.002 and 0.010, respectively). In conclusion, GLS is an independent predictor of all-cause mortality in severe AS, irrespective of their type of treatment. GLS <9.7% indicates a significantly higher 1- and 5-year mortality in non-AVR patients. Therefore, GLS should be regularly assessed for enhanced risk stratification and clinical decision-making.