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Electrocardiographic arrhythmia risk testing
Gregory Engel1, James G Beckerman, Victor F Froelicher
1Stanford University, Stanford, CA, USA.
Insights
Identifying patients at high risk for sudden cardiac death is crucial. Current noninvasive electrocardiographic (ECG) techniques lack definitive evidence for widespread use, suggesting a combination approach is needed for better risk stratification.
Area of Science:
- Cardiology
- Electrophysiology
Background:
- Sudden cardiac death (SCD) risk stratification is a significant clinical challenge.
- Automatic implantable cardioverter-defibrillators (AICDs) are indicated for high-risk patients, but noninvasive methods for identifying these individuals are not well-established.
Purpose of the Study:
- To review and evaluate various electrocardiographic (ECG) techniques for assessing arrhythmia risk.
- To determine the potential of noninvasive methods in identifying patients at high risk for sudden death.
Main Methods:
- Review of resting ECG parameters: premature ventricular contractions, QRS duration, damage scores, QT dispersion, ST-T wave abnormalities.
- Evaluation of T wave alternans, signal-averaged ECGs for late potentials, and heart rate variability analysis.
Main Results:
- No single noninvasive ECG technique provides unequivocal evidence for widespread clinical adoption in risk stratification.
- Further research is required to validate the efficacy of these noninvasive methods.
Conclusions:
- A combination of noninvasive risk evaluation techniques is likely to offer the greatest predictive power.
- Integrated risk assessment strategies may improve the identification of patients who would benefit from device therapy, such as AICDs.
Abstract:
Among the most compelling challenges facing cardiologists today is identification of which patients are at highest risk for sudden death. Automatic implantable cardioverter-defibrillators are now indicated in many of these patients, yet the role of noninvasive risk stratification in classifying patients at high risk is not well defined. The purpose of this review is to evaluate the various electrocardiographic (ECG) techniques that appear to have potential in assessment of risk for arrhythmia. The resting ECG (premature ventricular contractions, QRS duration, damage scores, QT dispersion, and ST segment and T wave abnormalities), T wave alternans, late potentials identified on signal-averaged ECGs, and heart rate variability are explored. Unequivocal evidence to support the widespread use of any single noninvasive technique is lacking; further research in this area is needed. It is likely that a combination of risk evaluation techniques will have the greatest predictive power in enabling identification of patients most likely to benefit from device therapy.
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