Left ventricular ejection fraction and right atrial diameter are associated with deep regional CBF in

Xiaodong Chen1, Danli Lu1, Ning Guo2

  • 1Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.

BMC Neurology
|February 12, 2021
PubMed

Insights

Cardiac remodeling impacts cerebral blood flow and neuroimaging burden in arteriosclerotic cerebral small vessel disease (aCSVD). Echocardiography and cerebral hemodynamic assessments are crucial for early CSVD detection and prognosis.

Area of Science:

  • Cardiovascular Medicine
  • Neurology
  • Radiology

Background:

  • Systemic cardiac hypoperfusion contributes to ischemic leukoencephalopathy.
  • The role of atherosclerosis-mediated cardiac remodeling in cerebral perfusion and neuroimaging burden in cerebral small vessel disease (CSVD) remains unclear.

Purpose of the Study:

  • To investigate the relationship between cardiac remodeling, cerebral hemodynamics, and neuroimaging burden in arteriosclerotic CSVD (aCSVD).
  • To identify predictors of high CSVD burden in aCSVD patients.

Main Methods:

  • Retrospective study of 103 aCSVD patients.
  • Utilized transthoracic echocardiography, structural MRI, and arterial spin labeling (ASL) to assess cardiac function and cerebral blood flow (CBF).
  • Graded total CSVD burden using a 0-4 rating score and analyzed associations with CBF and clinical factors.

Main Results:

  • Right atrial diameter and left ventricular ejection fraction were independently associated with deep regional CBF.
  • Decreased deep regional CBF was independently associated with higher CSVD burden.
  • A model integrating clinical factors, CBF, and echocardiographic parameters predicted high CSVD burden with high accuracy (AUC 84.25%).

Conclusions:

  • The interplay between cardiac status, cerebral blood flow, and neuroimaging burden highlights the prognostic significance of cardiac and hemodynamic assessments in early CSVD detection.
  • Echocardiographic and cerebral hemodynamic evaluations are vital for managing and predicting outcomes in aCSVD.
Abstract