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[Predictive value of various echocardiographic parameters of systolic and diastolic function in the development of

F Barillà1, R Santoro, S Abbolito

  • 1II Cattedra di Cardiologia, Università degli Studi La Sapienza, Roma.

Cardiologia (Rome, Italy)
|November 1, 1993
PubMed

Insights

Echocardiography can predict congestive heart failure (CHF) risk after acute myocardial infarction (AMI). Key indicators include left ventricular (LV) diastolic filling (A/E ratio, A%) and systolic function (wall motion score-index).

Area of Science:

  • Cardiology
  • Echocardiography
  • Heart Failure Research

Background:

  • Acute myocardial infarction (AMI) can lead to congestive heart failure (CHF).
  • Predictive markers for post-AMI CHF are crucial for patient management.
  • Left ventricular (LV) systolic and diastolic function are key determinants of cardiac health.

Purpose of the Study:

  • To assess the predictive value of LV systolic and diastolic function parameters for CHF development post-AMI.
  • To identify specific echocardiographic measures that indicate increased CHF risk after myocardial infarction.

Main Methods:

  • Studied 48 patients post-AMI using 2D and Doppler echocardiography (2D echo).
  • Evaluated LV wall motion score-index, early diastolic filling (E), atrial systole filling (A), A/E ratio, and A% at acute phase and 6-month follow-up.
  • Utilized multivariate analysis to identify predictive parameters for CHF development.

Main Results:

  • 10 patients (21%) developed CHF within 6 months.
  • CHF group showed depressed LV contractile function (wall motion score-index) and impaired diastolic filling (higher A/E ratio and A%).
  • Multivariate analysis identified A/E ratio, A%, and wall motion score-index as significant predictors of CHF.

Conclusions:

  • Combined 2D echo evaluation of LV systolic and diastolic function parameters improves CHF risk stratification post-AMI.
  • Specific cut-points (A/E > 1.4, A% > 45%, score-index < 3.1) effectively predict CHF development.
  • These echocardiographic parameters offer valuable insights for identifying high-risk patients after acute myocardial infarction.

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