Cardiovascular risk factors and systolic and diastolic cardiac function: a tissue Doppler and speckle tracking

Havard Dalen1, Anders Thorstensen, Pal R Romundstad

  • 1Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway. havard.dalen@ntnu.no

Insights

Common risk factors like blood pressure and BMI negatively impact heart function, even in healthy individuals. These factors may predict cardiac issues years before disease onset, with J-shaped associations suggesting low levels can also indicate unknown conditions.

Area of Science:

  • Cardiology
  • Cardiovascular Health
  • Preventive Medicine

Background:

  • Assessing cardiac function in low-risk populations is crucial for early detection of cardiovascular disease.
  • Understanding the impact of conventional risk factors on subclinical cardiac dysfunction is essential.

Purpose of the Study:

  • To investigate the association between blood pressure, BMI, serum lipids, glucose, and renal function with left ventricular (LV) and right ventricular function.
  • To identify early predictors of cardiac dysfunction in a population free from diagnosed cardiovascular disease, hypertension, and diabetes.

Main Methods:

  • Utilized multiple linear regression analysis on a random sample of 1,266 individuals.
  • Employed conventional echocardiography, speckle-tracking, and tissue Doppler methods to assess cardiac function.
  • Included individuals without hypertension, diabetes, or known cardiovascular disease.

Main Results:

  • Higher BMI, blood pressure, and non-HDL cholesterol were linked to reduced LV function and impaired diastolic mitral annular velocity.
  • Older age, higher BMI, diastolic blood pressure, and non-HDL cholesterol were associated with reduced right ventricular function.
  • Higher HDL cholesterol was associated with better LV function, while smoking negatively impacted LV function in women.

Conclusions:

  • Conventional risk factors can predict cardiac function decline years before clinical manifestation of disease.
  • J-shaped associations for diastolic blood pressure and BMI suggest that unusually low levels may indicate underlying, undiagnosed conditions.
  • Early identification of these associations can inform preventive strategies and risk stratification for cardiovascular health.
Abstract

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