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

J Hypertens. 2020 Dec;38(12):2465-2474. doi: 10.1097/HJH.0000000000002572.

Abstract

Objective: Echocardiographic definitions of subclinical left atrial dysfunction based on epidemiological data remain scarce. In this population study, we derived outcome-driven thresholds for echocardiographic left atrial function parameters discriminating between normal and abnormal values.

Methods: In 1306 individuals (mean age, 50.7 years; 51.6% women), we echocardiographically assessed left atrial function and LV global longitudinal strain. We derived cut-off values for left atrial emptying fraction (LAEF), left atrial function index (LAFI) and left atrial reservoir strain (LARS) to define left atrial dysfunction using receiver-operating curve threshold analysis. Main outcome was the incidence of cardiac events and atrial fibrillation (AFib) on average 8.5 years later.

Results: For prediction of new-onset AFib, left atrial cut-offs yielding the best balance between sensitivity and specificity (highest Youden index) were: LAEF less than 55%, LAFI less than 40.5 and LARS less than 23%. Applying these cut-offs, abnormal LAEF, LAFI and LARS were, respectively, present in 27, 37.1 and 18.1% of the cohort. Abnormal LARS (<23%) was independently associated with higher risk for cardiac events and new-onset AFib (P ≤ 0.012). Participants with both abnormal LAEF and LARS presented a significantly higher risk to develop cardiac events (hazard ratio: 2.10; P = 0.014) and AFib (hazard ratio: 6.45; P = 0.0036) than normal counterparts. The concomitant presence of an impaired LARS and LV global longitudinal strain improved prognostic accuracy beyond a clinical risk model for cardiac events and the CHARGE-AF Risk Score for AFib.

Conclusion: Left atrial dysfunction based on outcome-driven thresholds predicted cardiac events and AFib independent of conventional risk factors. Screening for subclinical left atrial and LV systolic dysfunction may enhance cardiac disease prediction in the community.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Atrial Fibrillation / diagnosis
  • Atrial Fibrillation / epidemiology
  • Atrial Function, Left / physiology*
  • Cohort Studies
  • Echocardiography*
  • Female
  • Heart Atria* / diagnostic imaging
  • Heart Atria* / physiopathology
  • Heart Diseases* / diagnosis
  • Heart Diseases* / epidemiology
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Prognosis