Left atrial functional assessment and mortality in patients with severe aortic stenosis with sinus rhythm

João Ferreira1, Valdirene Gonçalves2,3, Patrícia Marques-Alves2,4

  • 1Serviço de Cardiologia, Centro Hospitalar e Universitário de Coimbra, Praceta, R. Prof. Mota Pinto, 3004-561, Coimbra, Portugal. joaoaferreira29@gmail.com.

Insights

Left atrial (LA) function, assessed volumetrically, is a strong predictor of mortality in severe aortic stenosis (AS). Impaired LA function, specifically left atrial emptying fraction (LAEF), identifies high-risk patients who may benefit from aortic valve replacement (AVR).

Area of Science:

  • Cardiology
  • Echocardiography
  • Valvular Heart Disease

Background:

  • Aortic stenosis (AS) is the most prevalent valvular heart disease, with increasing prevalence in Europe.
  • Risk factors for severe AS are known, but the prognostic impact of left atrial (LA) function remains under-investigated.

Purpose of the Study:

  • To investigate the relationship between LA function, assessed volumetrically at diagnosis, and all-cause mortality in patients with severe AS.
  • To determine if LA function is an independent predictor of mortality in severe AS.

Main Methods:

  • Retrospective evaluation of 408 patients with newly diagnosed severe AS.
  • Assessment of LA reservoir, conduit, and pump function using volumetric measurements.
  • Analysis of all-cause mortality as the primary outcome during follow-up.

Main Results:

  • Left atrial emptying fraction (LAEF) emerged as the most effective parameter for predicting mortality (AUC 0.845).
  • Patients with lower LAEF (<37% and 37-53%) had significantly higher mortality risk, even after adjusting for clinical variables and aortic valve replacement (AVR).
  • LAEF proved to be a more potent predictor of death than traditional AS severity parameters.

Conclusions:

  • LA function, assessed volumetrically, is an independent predictor of all-cause mortality in severe AS.
  • LAEF is a powerful prognostic marker, outperforming conventional severity metrics.
  • These findings can aid in identifying high-risk severe AS patients who may benefit from timely AVR.
Abstract

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