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Bedside risk stratification after acute myocardial infarction: prospective evaluation of the use of heart rate and

Oliver Mauss1, Thomas Klingenheben, Pawel Ptaszynski

  • 1Department of Cardiology, Division of Clinical Electrophysiology, J.W. Goethe University, D-60596 Frankfurt a. main, Germany.

Journal of Electrocardiology
|May 14, 2005
PubMed

Insights

Heart rate measured via electrocardiogram (ECG) can predict future mortality and arrhythmic events in acute myocardial infarction (AMI) survivors. Simple bedside assessments including age, left ventricular ejection fraction (LVEF), and heart rate are effective for risk stratification.

Area of Science:

  • Cardiology
  • Clinical Medicine
  • Preventive Cardiology

Background:

  • Acute myocardial infarction (AMI) survivors face risks of mortality and arrhythmic events.
  • Accurate risk stratification is crucial for post-AMI patient management.
  • Identifying simple, accessible predictive markers is a clinical priority.

Purpose of the Study:

  • To assess the predictive value of heart rate (HR) from standard 12-lead electrocardiogram (ECG) and Holter recordings for adverse outcomes in AMI survivors.
  • To determine if HR, alongside other clinical parameters, can aid in bedside risk stratification.

Main Methods:

  • Analysis of data from 432 AMI survivors, including 343 men and 89 women (mean age 58 years).
  • Assessment of HR from standard 12-lead ECG and 24-hour Holter recordings at hospital discharge.
  • Noninvasive determination of left ventricular ejection fraction (LVEF); prospective follow-up for a composite endpoint of mortality and arrhythmic events (average 41 months).

Main Results:

  • Univariate analysis identified patient age, LVEF, and HR as predictors of event-free survival.
  • Multivariate stepwise regression revealed LVEF (P=.0007), age (P=.02), and ECG-derived HR (P=.008) as independent risk parameters.
  • These findings highlight the significance of HR measured by standard ECG.

Conclusions:

  • Bedside risk stratification for AMI survivors is feasible using readily available parameters.
  • Age, LVEF, and heart rate (particularly from standard ECG) are valuable independent predictors of adverse outcomes.
  • These simple metrics can guide clinical decision-making and patient management post-AMI.
Abstract

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