Signal-averaged electrocardiography (SAECG) is a special
electrocardiographic technique, in which multiple electric signals from the
heart are averaged to remove
interference and reveal small variations in the
QRS complex, usually the so-called "
late potentials". These may represent a predisposition towards potentially dangerous
ventricular tachyarrhythmias.
Technique
Procedure
A resting
electrocardiogram (ECG) is recorded in the
supine position using an ECG machine equipped with SAECG software; this can be done by a
physician,
nurse, or
medical technician. Unlike standard basal ECG recording, which requires only a few seconds, SAECG recording requires a few minutes (usually about 7-10 minutes), as the machine must record multiple subsequent QRS potentials to remove interference due to
skeletal muscle and to obtain a
statistically significant average trace. For this reason, it is important for the patient to lie as still as possible during the recording.
Results
SAECG recording yields a single, averaged QRS potential, usually printed in a much larger scale than standard ECGs, upon which the SAECG software performs calculations to reveal small variations (typically 1-25
mV) in the final portion of the QRS complex (the so-called "
late potentials, or more accurately, "
late ventricular potentials"). These can be immediately interpreted by comparing results with cut-off values.
Significance
Late potentials are taken to represent delayed and fragmented
depolarisation of the
ventricular myocardium, which may be the substrate for a micro-
re-entry mechanism, implying a higher risk of potentially dangerous ventricular
tachyarrhythmias. This has been used for the
risk stratification of
sudden cardiac death in people who have had a
myocardial infarction, as well as in people with known
coronary heart disease,
cardiomyopathies, or unexplained
syncope.
Still, the real predictive value of these findings is questioned. Late potentials may be found in 0-10% of normal volunteers. When used as a prognostic factor for the development of
ventricular tachycardia, they have a
sensitivity of 72% and a
specificity of 75%, yielding a
positive predictive value of 20% and a
negative predictive value of 20%.
References