Influence of left ventricular geometric patterns on prognosis in patients with or without coronary artery disease

J K Ghali1, Y Liao, R S Cooper

  • 1Department of Medicine, Louisiana State University Medical School, Shreveport 71130-3932, USA.

Insights

Left ventricular hypertrophy (LVH) patterns identified by echocardiography predict mortality risk in patients with suspected coronary artery disease (CAD). Concentric LVH poses the highest risk, highlighting its importance in risk stratification.

Area of Science:

  • Cardiology
  • Echocardiography
  • Cardiac Imaging

Background:

  • The prognostic significance of left ventricular (LV) geometry is not fully established.
  • Understanding LV geometry's role in mortality is crucial for patient management.

Purpose of the Study:

  • To investigate left ventricular (LV) geometry patterns using echocardiography.
  • To determine the association between LV geometry patterns and mortality in patients with or without coronary artery disease (CAD).

Main Methods:

  • A cohort study of 988 patients undergoing coronary arteriography and echocardiography.
  • Patients were categorized into four LV geometry patterns: normal, concentric remodeling, eccentric LV hypertrophy (LVH), and concentric LVH.
  • Follow-up averaged 9 years to assess mortality outcomes.

Main Results:

  • Concentric LVH showed the greatest increase in LV wall thickness and mass, irrespective of coronary artery status.
  • Concentric LVH was associated with the highest risk of all-cause and cardiac mortality.
  • Eccentric LVH moderately increased mortality risk; concentric remodeling showed no substantial increase.

Conclusions:

  • Left ventricular hypertrophy (LVH) provides significant predictive information from echocardiography in patients with suspected CAD.
  • Concentric LVH, characterized by increased LV mass and abnormal relative wall thickness (RWT), identifies patients at the highest mortality risk.
  • The predictive value of LV mass appears stronger than RWT for mortality risk.
Abstract

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