Utility of SAECG in arrhythmogenic right ventricle dysplasia.
BACKGROUND
Arrhythmogenic right ventricular dysplasia (ARVD) is characterized by progressive replacement of RV myocardium with fibro-adipose tissue thought to be responsible for the presence of late potentials (LP) detected by SAECG. The general consensus on the role of SAECG in the diagnosis and prognosis of patients with ARVD is lacking. The purpose of this systematic review was to better define the role of SAECG in ARVD.


METHODS
An extensive review of literature was done to specifically describe the prevalence of LP in ARVD and its determinants, explore the various options available to improve the diagnostic ability of SAECG, and provide recommendations for proper utilization of this technique.


RESULTS
LPs are frequent in ARVD (47-100%), and more prevalent in severe disease and in patients with documented spontaneous VT. SAECG is a useful test in following the characteristic evolutivity of the disease. 4-16% of normal family members of patients with ARVD also have abnormal SAECG results. Detection of LP in ARVD can be improved by employing a high-pass filter of 25 Hz and specifically looking for changes in the Z leads.


CONCLUSIONS
SAECG testing should be considered a standard part of the evaluation of patients with known or suspected ARVD. Further research is needed to confirm the value of SAECG testing in predicting arrhythmia risk and assessing the rate of disease progression, as well as to determine if greater prevalence of SAECG abnormalities in family members of patients with ARVD represents early detection of ARVD. The ongoing multidisciplinary study of right ventricular dysplasia will hopefully answer some of these questions.
Nasir
Khurram
K
Department of Cardiology, The Johns Hopkins University, Baltimore, MD 21087, USA.
Rutberg
Julie
J
Tandri
Harikrishna
H
Berger
Ronald
R
Tomaselli
Gordon
G
Calkins
Hugh
H
D000200:Action Potentials; D019571:Arrhythmogenic Right Ventricular Dysplasia / Q000175:diagnosis*; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D018570:Risk Assessment; D012815:Signal Processing, Computer-Assisted