Early left ventricular longitudinal systolic dysfunction and cardiovascular risk factors in 1,371 asymptomatic

Giovanni Di Salvo1, Vitantonio Di Bello, Alessandro Salustri

  • 1Second University of Naples, Naples, Italy Cardiac Thoracic and Vascular Department, University of Pisa, Pisa, Italy. giodisal@yahoo.it

Insights

Tissue Doppler imaging (TDI) detects early left ventricular (LV) systolic dysfunction in asymptomatic individuals with cardiovascular risk factors. This dysfunction worsens with more risk factors, aiding early treatment identification.

Area of Science:

  • Cardiology
  • Echocardiography
  • Cardiovascular Imaging

Background:

  • Early diagnosis of left ventricular (LV) dysfunction is crucial in asymptomatic individuals with cardiovascular (CV) risk factors.
  • Tissue Doppler imaging (TDI) is an emerging tool for assessing cardiac function.

Purpose of the Study:

  • To assess TDI's capability in detecting early longitudinal LV dysfunction.
  • To correlate TDI findings with the number of CV risk factors in subjects with preserved LV ejection fraction and normal diastolic function.

Main Methods:

  • A study population of 1,371 subjects was categorized into controls and groups based on the number of CV risk factors (0, 1, 2, or ≥3).
  • All participants underwent standard echocardiography and a pulsed-wave TDI (PW-TDI) assessment.

Main Results:

  • Diastolic parameters differentiated the number of CV risk factors.
  • LV global longitudinal systolic function (Sm) was the sole systolic parameter that significantly decreased with an increasing number of CV risk factors (P < 0.0001).
  • Multivariate analysis confirmed Sm as the only functional parameter predicting an increased number of CV risk factors (P < 0.001).

Conclusions:

  • TDI can identify early longitudinal LV systolic abnormalities, even with normal systolic and diastolic function.
  • These abnormalities show a progressive decline with an increasing burden of CV risk factors.
  • Findings support TDI's clinical utility in identifying high-risk asymptomatic individuals for tailored preventive strategies.
Abstract