Subclinical left atrial dysfunction profiles for prediction of cardiac outcome in the general population

Nicholas Cauwenberghs1, Francois Haddad2, František Sabovčik1

  • 1Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium.

Insights

New echocardiographic thresholds for left atrial dysfunction, including left atrial emptying fraction (LAEF) and left atrial reservoir strain (LARS), predict cardiac events and atrial fibrillation (AFib). These findings enhance cardiac disease prediction in the community.

Area of Science:

  • Cardiology
  • Echocardiography
  • Preventive Medicine

Background:

  • Subclinical left atrial dysfunction lacks established echocardiographic definitions.
  • Epidemiological data are needed to define normal and abnormal left atrial function parameters.

Purpose of the Study:

  • To derive outcome-driven echocardiographic thresholds for left atrial function parameters.
  • To define subclinical left atrial dysfunction using population-based data.
  • To assess the predictive value of these thresholds for cardiac events and atrial fibrillation (AFib).

Main Methods:

  • A population study of 1306 individuals (mean age 50.7 years, 51.6% women).
  • Echocardiographic assessment of left atrial function (LAEF, LAFI, LARS) and LV global longitudinal strain.
  • Receiver-operating curve analysis to derive cut-off values for left atrial dysfunction.
  • Prospective follow-up for cardiac events and AFib incidence over 8.5 years.

Main Results:

  • Outcome-driven cut-offs for AFib prediction: LAEF <55%, LAFI <40.5, LARS <23%.
  • Abnormal LARS (<23%) independently predicted higher risk for cardiac events and AFib (P≤0.012).
  • Concomitant abnormal LAEF and LARS significantly increased risk for cardiac events (HR 2.10) and AFib (HR 6.45).
  • Combined LARS and LV strain improved prognostic accuracy beyond clinical models for cardiac events and AFib.

Conclusions:

  • Outcome-driven thresholds for left atrial dysfunction predict cardiac events and AFib independently of traditional risk factors.
  • Screening for subclinical left atrial and LV systolic dysfunction can improve community-based cardiac disease prediction.
Abstract

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