Impact of Diastolic Function Parameters on the Risk for Left Atrial Appendage Thrombus in Patients with Nonvalvular

Rami Doukky1, Enrique Garcia-Sayan2, Mita Patel3

  • 1Division of Adult Cardiology, John H. Stroger, Jr Hospital of Cook County, Chicago, Illinois; Division of Cardiology, Rush University Medical Center, Chicago, Illinois.

Insights

Left atrial appendage thrombus risk in nonvalvular atrial fibrillation (NVAF) patients is linked to diastolic dysfunction. Echocardiographic measures like E/e' ratio and e' velocity can identify patients at low risk for LAA thrombus.

Area of Science:

  • Cardiology
  • Echocardiography
  • Thrombosis Research

Background:

  • Left atrial appendage (LAA) thrombus is a risk in nonvalvular atrial fibrillation (NVAF).
  • The relationship between LAA thrombus and left ventricular diastolic function in NVAF patients remains understudied prospectively.

Purpose of the Study:

  • To prospectively investigate the association between left ventricular diastolic function parameters and LAA thrombus in NVAF patients.
  • To determine if diastolic function assessment can improve stroke risk prediction in NVAF.

Main Methods:

  • Prospective enrollment of NVAF patients at two academic medical centers.
  • Investigational transthoracic echocardiography performed before transesophageal echocardiography.
  • Measurement of mitral inflow E velocity, mitral annular velocities (e'), and calculation of E/e' ratios.

Main Results:

  • LAA thrombus was present in 6.4% of 266 NVAF patients.
  • Higher E/e' ratios and lower e' velocities were significantly associated with LAA thrombus.
  • E/e' and e' velocity provided independent and incremental predictive value for LAA thrombus beyond the CHA2DS2-VASc score.

Conclusions:

  • Left ventricular diastolic function parameters (E/e' ratio, e' velocity) are associated with LAA thrombus in NVAF patients.
  • These echocardiographic measures may help identify NVAF patients at low risk for LAA thrombus.
  • Diastolic function assessment could enhance stroke risk prediction in NVAF.
Abstract