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Prediction of arrhythmic events after myocardial infarction based on signal-averaged electrocardiogram and ejection
Andreas W Schoenenberger1, Paul Erne, Stephan Ammann
1Department of General Internal Medicine, Inselspital University of Bern Hospital, Bern, Switzerland.
Insights
A new signal-averaged electrocardiogram (SAECG) index combined with ejection fraction (EF) effectively predicts arrhythmic events (AE) in acute myocardial infarction (AMI) patients. This approach identifies both low-risk and high-risk individuals for potential implantable cardioverter-defibrillator (ICD) consideration.
Area of Science:
- Cardiology
- Medical Diagnostics
- Electrocardiography
Background:
- Implantable cardioverter-defibrillators (ICD) trials in acute myocardial infarction (AMI) patients underscore the need for accurate arrhythmic event (AE) risk assessment.
- Current risk stratification methods require enhancement for improved patient management post-AMI.
Purpose of the Study:
- To evaluate novel risk predictors for AE using signal-averaged electrocardiogram (SAECG) and ejection fraction (EF).
- To assess the combined predictive value of a new SAECG index and EF for AE in AMI patients.
Main Methods:
- Prospective evaluation of SAECG with a new interpretation index and EF in 144 AMI patients.
- Follow-up for a mean of 4.1 years to record AE incidence.
Main Results:
- The new SAECG index demonstrated high sensitivity (84%) and negative predictive value (96%) for AE.
- A combination of a normal SAECG index and EF >35% identified patients with 0% AE incidence (100% sensitivity, 100% NPV).
- Abnormal results in both tests indicated a high AE incidence rate of 21.3%.
Conclusions:
- This study presents the first contemporary report on the predictive values of combined SAECG and EF for AE.
- This novel approach may identify very low-risk patients who do not require further assessment.
- It also identifies high-risk patients suitable for implantable cardioverter-defibrillator (ICD) implantation without additional risk stratification.
Background:
Trials on implantable cardioverter-defibrillators (ICD) for patients after acute myocardial infarction (AMI) have highlighted the need for risk assessment of arrhythmic events (AE). The aim of this study was to evaluate risk predictors based on a novel approach of interpreting signal-averaged electrocardiogram (SAECG) and ejection fraction (EF).
Methods:
SAECG, interpreted with a new index, and EF were prospectively evaluated to predict AE in 144 patients with AMI.
Results:
During the mean follow-up period of 4.1 years, 19 AE occurred. The new SAECG index showed a sensitivity of 84%, a specificity of 62%, a positive predictive value (PPV) of 25%, and a negative predictive value (NPV) of 96%. A combination of a normal new SAECG index and an EF >35% resulted in a sensitivity of 100%, a specificity of 47%, a PPV of 22%, and a NPV of 100%; this corresponded to an AE incidence rate of 0%. When both tests were abnormal, the AE incidence rate was 21.3%.
Conclusions:
This is the first contemporary study reporting predictive values based on a combination of SAECG and EF. If confirmed in an appropriately designed and powered trial, this novel approach might be used to identify both patients at very low risk for AE not requiring further risk assessment and patients at high risk in whom ICD implantation can be considered without further risk assessment.
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