(Circulation. 1995;91:715-721.)
© 1995 American Heart Association, Inc.
Articles |
From the Center de Stimulation Cardiaque et de Rythmologie, Hopital Jean Rostand, Ivry, France.
| Abstract |
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Methods and Results SAECG was recorded by using a bipolar X, Y, and Z lead system in 28 patients with ARVD (mean age, 38±13 years) and 35 age-matched normal subjects (mean age, 35±11 years). The conventional time-domain analysis of the SAECG was performed at two different high-pass filter settings, 25 and 40 Hz, and the low-pass cutoff frequency was fixed at 250 Hz. The fast-Fourier transform analysis of SAECG was performed using a Blackman-Harris window. Area ratio 1 (area of 20 to 50 Hz)/(area of 0 to 20 Hz) and area ratio 2 (area of 40 to 100 Hz)/(area of 0 to 40 Hz) were calculated. In the conventional time-domain analysis, 20 (71%) and 18 (64%) patients had positive criteria at filter settings of 25 and 40 Hz, respectively. In the frequency-domain analysis, 18 (64%) and 20 (71%) patients had abnormal values in area ratios 1 and 2, respectively. Combining the time- and frequency-domain analyses, all patients were judged positive, with a sensitivity of 100% and a specificity of 94%.
Conclusions Each result of the time- and frequency-domain analyses revealed that both methods had equivalent value. Combining the two domain analyses improved the sensitivity without reducing the specificity. These findings suggest that combining the time- and frequency-domain analyses of the SAECG may be useful as a screening test to detect patients with ARVD.
Key Words: tachycardia cardiomyopathy Fourier analysis electrocardiography potentials
| Introduction |
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The signal-averaged ECG (SAECG) has been used to detect low-amplitude, high-frequency, and altered frequency components in the terminal QRS complex.12 13 14 15 16 17 18 19 20 21 These signals are called late potentials and are considered a noninvasive marker for areas of slow conduction that are a prerequisite for reentrant arrhythmias. Delayed or fragmented electrograms are usually recorded during endomyocardial mapping in the right ventricle in patients with ARVD.4 5 The reported prevalence of late potentials has ranged from 50% to 80%.22 23
Fast-Fourier transform analysis is a powerful analytic method for signal processing in the frequency domain.24 25 26 27 28 29 30 31 32 33 34 Cain et al24 25 26 report that frequency analysis offers potential advantages for the identification and characterization of signals that differentiate patients with from those without sustained ventricular tachycardia. Haberl et al27 found frequency analysis to be more specific than time-domain analysis without loss of sensitivity. Lindsay et al28 29 30 have demonstrated that differentiation of patients with and without ventricular tachycardia by frequency-domain analysis is possible in the presence of bundle branch block. Pierce et al31 report that high frequencies in late potentials most usefully identify patients with coronary artery disease and ventricular tachycardia from patients without tachycardia. However, there is no established report regarding frequency-domain analysis of SAECG in patients with ARVD. The purpose of this study was to estimate the validity of frequency-domain analysis of the SAECG in addition to the conventional time-domain analysis as a screening test to detect patients with ARVD.
| Methods |
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SAECG
Silversilver chloride electrodes were used. The
subject's
skin was thoroughly cleansed with alcohol and abraded to decrease
impedance. Signal averaging was performed by using the LVP-1200 EPX
(Arrhythmia Research Technology) before electrophysiological
evaluation. SAECGs were recorded during sinus rhythm using a standard
bipolar X, Y, and Z lead system. The X lead was positioned at the
fourth intercostal space in both midaxillary lines, the Y lead was
positioned on the superior aspect of the manubrium and on the left
iliac crest, and the Z lead was positioned at the fourth intercostal
space, with the second electrode directly posterior on the left side of
the vertebral column. More than 200 beats were averaged to obtain a
noise level of <0.3 µV (mean, 0.22 µV) at 40 Hz.
Time-Domain Analysis
The time-domain analysis was performed
with two high-pass
bidirectional (Butterworth) filters (25 and 40 Hz), and the low-pass
cutoff frequency was fixed at 250 Hz. For each filter setting, three
conventional indexes were computed: the duration of the total filtered
QRS (fQRS) complex, the duration of the low-amplitude signal (LAS)
after the voltage decreased to less than 40 µV, and the
root-mean-square (RMS) of the amplitude of signals in the last 40 ms of
the fQRS complex. Late potentials were considered to be present if
any two of the following three criteria at each filter setting were
met: fQRS >120 ms, LAS >40 ms, or RMS <25 µV at a 25-Hz filter
setting (according to Simson's13 criteria); or fQRS >114
ms, LAS >38 ms, or RMS <20 µV at a 40-Hz filter
setting.32
Frequency-Domain Analysis
Fast-Fourier transform analysis was
performed on the
terminal 20 ms of the QRS complex and ST segment of each
signal-averaged X, Y, and Z lead. For each region of interest, a 120-ms
interval was calculated with a four-term Blackman-Harris window to
reduce spectral leakage. Before Fourier transform, the mean of all data
values was subtracted after windowing. The data were plotted on a
high-resolution plotter and expressed as a ratio of the area under the
spectral plot between 20 Hz and 50 Hz divided by the area under the
spectral plot between 0 Hz and 20 Hz (area ratio 1=20 to 50/0 to 20 Hz)
and a ratio of the area under the spectral plot between 40 Hz and 100
Hz divided by the area under the spectral plot between 0 Hz and 40 Hz
(area ratio 2=40 to 100/0 to 40 Hz).
Statistical Analysis
Data are presented as mean±SD. To
compare SAECG parameters
in patients with ARVD and in normal subjects, the unpaired t
test was selected. A probability of P<.05 was considered
significant.
The following definitions were used for calculating the sensitivity, specificity, and predictive accuracy of the SAECG for ARVD: (1) true positive (patients with abnormal SAECG criteria), (2) true negative (normal subjects with normal SAECG criteria), (3) false positive (normal subjects with abnormal SAECG criteria), and (4) false negative (patients with normal SAECG criteria). Receiver operating characteristic curves were constructed comparing the true positive rate (sensitivity) to the false positive rate.
| Results |
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Frequency-Domain Analysis
The mean values of the
frequency-domain analysis for area
ratio 1 (20 to 50/0 to 20 Hz) and area ratio 2 (40 to 100/0 to 40 Hz)
are shown in Table 2
and Fig 2
. The mean
value of the mean X, Y, and Z leads of area ratio 1 in patients with
ARVD was significantly higher than that of normal subjects (410±340
versus 186±28, P<.001). The mean value at mean X, Y, and Z
leads of area ratio 2 in patients with ARVD was also significantly
higher than that of normal subjects (174±143 versus 41±16,
P<.001). The mean value of each lead was also significantly
higher in patients with ARVD.
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Receiver Operating Characteristic Curves and Combined Analysis
Fig 3
shows receiver operating characteristic
curves for fQRS duration at both 25- and 40-Hz high-pass filter
settings and area ratios 1 and 2, plotting true positive against false
positive rates. The curves are convex to the upper left (high
sensitivity with low false positive rate), indicating that fQRS
duration at a 25-Hz high-pass filter setting and area ratio 2 are
relatively useful tests.
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Fig 4
shows receiver operating
curves for leads X, Y,
and Z at area ratio 2, plotting true positive against false positive
rates. The curves indicate that lead Z is relatively useful. This
finding was also seen at area ratio 1.
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Combining the time- and
frequency-domain analyses of the SAECG improved
the sensitivity (Table 3
). We selected fQRS duration
using 25-Hz high-pass filter and area ratio 2 for combined variables
based on receiver operating characteristic curves. Defining a positive
test as fQRS duration >120 ms or area ratio 2 >75 yielded 82%
sensitivity and 97% specificity. Defining a positive test as fQRS
duration >120 ms or area ratio 2 >100 yielded 78% sensitivity and
100% specificity. Defining a positive test as fQRS duration >110 ms
or area ratio 2 >75 yielded 100% sensitivity and 94% specificity.
Defining a positive test as fQRS duration >110 ms or area ratio 2
>100 yielded 96% sensitivity, 97% specificity, and 97% total
predictive accuracy.
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| Discussion |
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Time-Domain Analysis
SAECG has been used as a screening test
to predict
arrhythmia events in patients with old myocardial infarction, and it
correlates with inducibility of ventricular
tachycardia.12 13 14 15 16 17 18 19 20 21
A Task Force Committee of the European
Society of Cardiology, the American Heart Association, and the American
College of Cardiology recently established standards for data
acquisition and analysis of SAECGs.32 They recommended
that the SAECG should be considered abnormal (using 40-Hz high-pass
bidirectional filtering) when (1) the fQRS complex is greater than 114
ms, (2) there is less than 20 µV of signal in the last 40 ms of the
vector magnitude complex, and (3) the terminal vector magnitude complex
remains below 40 µV for more than 38 ms. In addition to these
criteria at a 40-Hz high-pass filter setting, we used
Simson's13 criteria at 25 Hz, ie, total fQRS duration
>120 ms, terminal fQRS duration below 40 µV >40 ms, and RMS voltage
of the terminal 40 ms <25 µV. The effect of the bandpass filter for
SAECG to detect late potentials was assessed by Gomes et
al33 and Caref et al34 in patients with
ventricular tachycardia associated with coronary artery disease. Gomes
et al33 reported that a level of 25 Hz provided a low
sensitivity but the best specificity, whereas 80 Hz provided the best
sensitivity but a low specificity, and a filter of 40 Hz provided
sensitivity and specificity intermediate between those at 25 and 80 Hz.
Caref et al34 reported that the SAECG parameters analyzed
at 40 Hz were most frequently represented in the top
predictive combinations. There were few reports of SAECG in patients
with ARVD. Blomström-Lundqvist et al22 reported
results from 16 patients with ARVD and 16 healthy volunteers that the
sensitivity was 81%, 75%, and 75% in fQRS duration >120 ms, late
potential duration >40 ms, and RMS <25 µV, respectively, using
25-Hz high-pass filter settings. Wichter et al23 recently
reported that late potentials were present in only 50% of patients
with arrhythmogenic right ventricular cardiomyopathy using a 40-Hz
high-pass filter and the criteria proposed by the Task Force
Committee.32 In our present study, late potentials
were present in 20 of 28 patients (71%) at the 25-Hz high-pass
filter setting and in 18 patient (64%) at 40 Hz. These results suggest
that the 25-Hz high-pass filter setting might be favorable for
detecting patients with ARVD.
Frequency-Domain Analysis
Fast-Fourier transform analysis of
the SAECG has been proposed
as a means of identifying patients who are likely to develop sustained
ventricular tachycardia after myocardial
infarction.24 25 26 27 28 29 30 31 35 36 37
Cain et al24 25 26 showed
a high-frequency content of the terminal QRS segment with an SAECG
frequency-domain analysis. Frequency-domain analysis of the
SAECG offers several advantages compared with time-domain analysis.
First, complex high-pass filtering is not necessary. This is important
because the frequency content of late potentials is low, and cutoff
frequencies may abolish late potentials. Second, the definition of the
end of the QRS complex is not a crucial factor in frequency-domain
analysis, and patients with bundle branch block need not be
excluded. Lindsay et al28 29 30 have
demonstrated that
differentiation of patients with and without ventricular tachycardia by
frequency-domain analysis is possible even in the presence of
complete bundle branch block. Haberl et al27 and Pierce et
al31 emphasize the significance of subtracting mean
voltage before applying the Fourier transform. Kinoshita et
al38 39 report that the frequency analysis of the
SAECG might be able to detect late potentials that had short duration
or were concealed within the QRS wave. However, there have been no
established reports concerning the validity of frequency-domain
analysis in patients with ARVD. In this study, we used two
different area ratios, 20 to 50/0 to 20 Hz and 40 to 100/0 to 40 Hz.
Eighteen (64%) and 20 (71%) of 28 patients with ARVD had abnormal
values (>mean+2 SD) in area ratios 1 and 2, respectively. These
results revealed that the time- and frequency-domain analyses of the
SAECG were relatively equivalent in the identification of patients with
ARVD.
Recording Leads
Late potentials of right ventricular origin
may be detected in
leads Z or V1, which reflect vector for the anterior chest.
Receiver operating characteristic curves indicated that lead Z was a
relatively useful test in patients with ARVD. Kulakowski et
al40 report that lead X had abnormal values in the
frequency analysis in patients with hypertrophic cardiomyopathy and
ventricular tachycardia. Ohe et al41 report that late
potentials of right ventricular origin were detected predominantly in
lead V1 and those of left ventricular origin in lead
V5 using a time-domain analysis.
Blomström-Lundqvist et al22 have demonstrated that
the ratio of the late potential duration/fQRS duration was
significantly higher in V1 than V3 and
V5 in the ARVD group. In frequency-domain analysis,
Lindsay et al28 29 30 report that
analysis of the
individual X, Y, and Z leads differentiated patients with myocardial
infarction and ventricular tachycardia, providing sensitivities of
67%, 63%, and 63%, respectively. Further studies using multiple lead
systems (such as late potential mapping) are needed for determining
which leads are useful for differentiating patients with ARVD.
Combining Time- and Frequency-Domain Analyses
Combining the
time-domain and frequency-domain analyses increased
the sensitivity without diminution of the specificity. We would like to
propose a criteria, fQRS duration >110 ms or area ratio 2 (40 to 100/0
to 40 Hz) >75, as a screening test for detecting patients with ARVD.
This criteria provided a diagnostic sensitivity of 100%, specificity
of 94%, positive predictive value of 93%, negative predictive value
of 100%, and total predictive accuracy of 97%.
Study Limitations
The major limitation of this study may be
the absence of
patients with ARVD but without ventricular tachycardia. Our study was
quite different from those studies that include patients with
myocardial infarction with and without ventricular tachycardia. To
discriminate between patients with and without tachycardia, these other
studies generally relied on conventional time-domain criteria that were
chiefly based on patients with myocardial infarction, using patients
with old myocardial infarction without ventricular tachycardia as a
control group. In contrast, the present study adopted healthy
normal volunteers as a control group, ie, as a means of discriminating
between patients with ARVD and normal subjects.
The proposal criteria of time-domain analysis, ie, fQRS duration >110 ms (25 Hz), is looser than Simson's criteria (fQRS duration >120 ms).13 This may depend on our small normal control group (n=35). Normal values (mean±SD) reported by Caref et al34 using a larger group (n=100) were 94.4±10.3 ms. They defined normal values of fQRS duration as <115 ms at a 25-Hz high-pass filter setting. The conventional criteria of time-domain analysis have been used for patients with myocardial infarction, who may have a dilated left ventricle and whose standard 12-lead ECG findings generally show abnormal Q waves and longer QRS duration. Thus, conventional time-domain analysis criteria might not be appropriate for patients with ARVD. Optimal criteria and filter settings to identify patients with ARVD should be established from larger study groups.
There are no well-defined criteria for frequency-domain analysis of the SAECG for choice of the window function, the segment length of the window, or the area ratio. We used only two area ratios (20 to 50/0 to 20 and 40 to 100/0 to 40 Hz). Other area ratios should be analyzed to improve detectability of frequency-domain analysis.
Contamination with 60-Hz line voltage was not excluded by a 60-Hz filter. This may represent one limitation of the present study. However, no patients had spectral peaks repeated at 60, 120, and 180 Hz, and we did not observe a relative increase at 60 Hz that was consistent in all three X, Y, and Z leads. These findings were also described by Pierce et al.31
Lindsay et al30 has shown that frequency-domain analysis does not need to exclude patients with bundle branch block. Two additional ARVD patients with complete right bundle branch block visited our hospital during the evaluation period, one of whom had atrial fibrillation. They had extensively dilated right ventricles and abnormal frequency-domain analysis values. Although these patients were not included in the present study, the inclusion of similar patients in future studies might improve the usefulness of frequency-domain analysis. We believe that patients with complete bundle branch block should be also evaluated by echocardiogram.
Conclusions
Late potentials were present in 20 (71%) and 18
(64%) of 28
patients with ARVD at 25-Hz and 40-Hz high-pass filter settings,
respectively, in conventional time-domain analysis. In frequency
analysis, 18 (64%) and 20 (71%) patients with ARVD had abnormal
values in area ratio 1 (20 to 50/0 to 20 Hz) and area ratio 2 (40 to
100/0 to 40 Hz). Combining the time- and frequency-domain analyses, ie,
fQRS duration >110 ms or area ratio 2 >75, yielded an improved
sensitivity (100%) with specificity of 94%. These results suggest
that combination of the time- and frequency-domain analyses of the
SAECG may be useful as a screening test for detecting patients with
ARVD.
| Footnotes |
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Received April 6, 1994; accepted August 29, 1994.
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