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Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Doppler diastolic filling indexes in relation to disease states

L Chen1, E J Benjamin, M G Larson

  • 1Framingham Heart Study, Massachusetts 01701-6334, USA.

American Heart Journal
|March 1, 1996
PubMed

Insights

Hypertension is linked to altered Doppler diastolic filling patterns in a large population study. Diabetes showed a significant association initially, but this diminished in multivariate analysis.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Epidemiology

Background:

  • Diastolic dysfunction is a key indicator of cardiovascular health.
  • Doppler echocardiography provides valuable insights into cardiac filling dynamics.
  • Population-based studies are crucial for understanding disease prevalence and impact.

Purpose of the Study:

  • To compare Doppler-derived diastolic filling indexes across various disease states.
  • To investigate the association between hypertension, diabetes, and diastolic function.
  • To analyze these associations in a large, population-based cohort.

Main Methods:

  • Utilized pulse-wave Doppler in 880 participants from the Framingham Heart Study.
  • Measured key diastolic filling parameters: peak early and late flow velocities, E/A ratio, atrial filling fraction, and deceleration times.
  • Employed multiple linear regression and multivariate analyses to assess disease associations.

Main Results:

  • Hypertension demonstrated a significant association with increased peak velocity late flow (p=0.011) and altered Doppler diastolic filling patterns in multivariate analysis (p=0.009).
  • Diabetes was initially associated with a larger mean deceleration time (p=0.016), but this association was not significant in multivariate analysis (p=0.28).
  • Coronary disease, cardiovascular disease, and pulmonary disease were also analyzed for associations with diastolic filling indexes.

Conclusions:

  • Hypertension is strongly associated with abnormal Doppler-derived diastolic filling patterns.
  • The association between diabetes and diastolic filling patterns appears less robust in multivariate analysis compared to hypertension.
  • Doppler echocardiography is a valuable tool for assessing diastolic function in population health studies.

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