Peak atrial longitudinal strain and risk stratification in moderate and severe aortic stenosis

Paolo Springhetti1, Michele Tomaselli2, Giovanni Benfari1

  • 1Department of Medicine, Division of Cardiology, University of Verona, Piazzale Aristide Stefani 1, 37100 Verona, Italy.

Insights

Peak atrial longitudinal strain (PALS) is an independent predictor of adverse outcomes in patients with moderate to severe aortic stenosis. Lower PALS (<16%) identifies patients at higher risk for mortality and heart failure hospitalizations.

Area of Science:

  • Cardiology
  • Cardiac Imaging
  • Echocardiography

Background:

  • Aortic stenosis (AS) is a significant cardiovascular condition.
  • Left atrial strain assessment offers novel insights into cardiac function.
  • The prognostic value of left atrial strain in moderate AS requires further investigation.

Purpose of the Study:

  • To investigate the association between left atrial strain and clinical outcomes in patients with at least moderate aortic stenosis (AS).
  • To determine if peak atrial longitudinal strain (PALS) can improve risk stratification in this patient population.

Main Methods:

  • Analysis of 467 patients with moderate or severe AS and sinus rhythm.
  • Median follow-up of 19.2 months with a composite endpoint of all-cause mortality and heart failure hospitalization.
  • Receiver operator characteristic curve analysis and multivariable regression to assess the prognostic value of PALS.

Main Results:

  • A PALS cutoff of <16% was strongly associated with adverse outcomes (AUC 0.70, P < 0.001).
  • Lower PALS independently predicted the composite endpoint (aHR 0.95, P = 0.017), outperforming other cardiac parameters.
  • Impaired PALS showed prognostic value across subgroups, including asymptomatic, moderate AS, and low-flow AS.

Conclusions:

  • Peak atrial longitudinal strain is an independent predictor of adverse outcomes in patients with at least moderate AS.
  • PALS may serve as a valuable biomarker for sub-clinical myocardial damage, aiding in risk stratification and guiding treatment decisions, particularly in asymptomatic individuals.
Abstract

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