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Published on: February 16, 2016
Estimating left ventricular ejection fraction after myocardial infarction by various clinical parameters
R F McNamara1, E Carleen, A J Moss
1Department of Cardiology, University of Rochester, School of Medicine and Dentistry, New York.
The American Journal of Cardiology
|August 1, 1988
Summary
Four clinical factors predict left ventricular ejection fraction (LVEF) in acute myocardial infarction (AMI) survivors. These predictors offer a bedside method for estimating LVEF, aiding clinical assessment post-AMI.
Area of Science:
- Cardiology
- Clinical Medicine
- Medical Research
Background:
- Left ventricular ejection fraction (LVEF) is a critical prognostic indicator following acute myocardial infarction (AMI).
- Accurate and timely estimation of LVEF is essential for guiding patient management and treatment strategies.
- Existing methods for LVEF assessment may not always be readily available at the bedside.
Purpose of the Study:
- To identify independent clinical predictors of reduced left ventricular ejection fraction (LVEF) in survivors of acute myocardial infarction (AMI).
- To develop a simple clinical tool for estimating LVEF using readily available patient data.
- To assess the predictive accuracy of identified clinical variables for low LVEF post-AMI.
Main Methods:
- A cohort of 760 acute myocardial infarction (AMI) survivors was analyzed.
- Logistic regression was employed to identify predictors of LVEF dichotomized at <= 0.40.
- Four preselected clinical variables were assessed for their predictive power: anterior AMI, chest x-ray congestion, prior AMI, and creatine kinase levels.
Main Results:
- Four clinical variables independently predicted a low LVEF (<= 0.40): anterior AMI (OR 4.7), chest x-ray congestion (OR 2.9), previous AMI (OR 2.3), and creatine kinase > 1,000 U (OR 2.1).
- A stepwise decrease in LVEF and increase in low LVEF prevalence were observed with each additional clinical variable.
- A model using the number of clinical factors achieved 80% accuracy for high LVEF (0-1 factor) and 60% for low LVEF (>=2 factors), with an overall accuracy of 72%.
Conclusions:
- Readily obtainable clinical variables serve as strong and independent predictors of LVEF after AMI.
- A simple bedside method utilizing the count of these clinical factors can effectively estimate LVEF.
- This clinical approach offers a practical tool for bedside LVEF estimation in AMI survivors, aiding clinical decision-making.
