Electrocardiographic arrhythmia risk testing.
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.
Engel
Gregory
G
Stanford University, Stanford, CA, USA.
Beckerman
James G
JG
Froelicher
Victor F
VF
Yamazaki
Takuya
T
Chen
Henry A
HA
Richardson
Kelly
K
McAuley
Ryan J
RJ
Ashley
Euan A
EA
Chun
Sung
S
Wang
Paul J
PJ
D001145:Arrhythmias, Cardiac / Q000175:diagnosis* / Q000503:physiopathology / Q000628:therapy; D017147:Defibrillators, Implantable; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D011379:Prognosis; D018570:Risk Assessment; D012307:Risk Factors