Repolarisation in patients with ischaemic and nonischaemic cardiomyopathy: assessment of parameters of transmural dispersion of repolarisation using the 65-lead surface ECG
Valentina A Rossi,
Fabian Barbieri,
Christian M Schmied,
Philipp Bohm,
Bernhard Pfeifer,
Bernhard Wernly,
Wolfgang Dichtl,
Markus Stühlinger,
Florian Hintringer,
Thomas Berger
ICMP had a longer Tpeak-Tend-duration and Tpeak-Tend-integral compared to DCMP despite normal parameters of depolarization. This may reflect the different arrhythmogenic morphological substrate and explain why ventricular tachycardias are more common in ICMP.
Introduction
Cardiovascular diseases are responsible for more than 30% of deaths worldwide and among these about 25% are sudden cardiac deaths (SCDs) [1, 2]. Coronary artery disease accounts for a large proportion of SCDs, especially in patients older than 40 years, mainly because of the acute development of malignant arrhythmias during or immediately after physical exercise, probably due to ischaemic triggers [3]. However, 10% of cases of SCD are associated with cardiomyopathies of other aetiologies. It has been postulated that arrhythmias possibly arise from the synergetic activation of the sympathetic nervous and renin-angiotensin systems acting on a sensitised underlying mechanical substrate and leading to disorganised electrical activity, resulting in malignant arrhythmias and SCD. In both ischaemic and nonischaemic cardiomyopathies, fibrosis and myocardial scars have been identified as a substrate for adverse arrhythmic events. In contrast to scar-related macro-reentrant ventricular tachycardia in ischaemic cardiomyopathy, the mechanisms of arrhythmias in patients with nonischaemic cardiomyopathy are as yet not well understood [4].
ECG repolarisation indices have repeatedly been the focus for prediction of malignant ventricular arrhythmias and SCD [5]. There is preliminary evidence that a prolongation of transmural dispersion of repolarisation is independently linked with an increased risk of ventricular arrhythmia and SCD in patients with either ischaemic or nonischaemic cardiomyopathies, as well as in the general population [6, 7] However, most ECG-derived analysis of parameters of the transmural dispersion of ventricular repolarisation have been carried out using the standard 12-lead surface ECG with a focus at the anterior wall (lead V5) [8]. Therefore, more comprehensive changes of repolarisation may have been previously missed. To address this uncertainty, we compared parameters of transmural dispersion of repolarisation in patients with ischaemic and nonischaemic cardiomyopathy by using a high-resolution 65-lead surface ECG.
Methods
Study population
Patients previously diagnosed with cardiomyopathy due to coronary artery disease (ICMP) or with cardiomyopathy of nonischaemic origin (DCMP) and who underwent a regular follow-up in our outpatient clinic were included in this study in 2001. These patients were eligible if they were aged between 18 and 80 years, and had a left ventricular ejection fraction (LVEF) of <35%, measured either invasively (laevocardiography) or noninvasively (e.g., echocardiography, magnetic resonance imaging). Patients who were pacemaker-dependent, presented with bundle branch block and/or suffered from atrial fibrillation were excluded. The study was conducted according to the Declaration of Helsinki and was approved by the local research ethics committee. Written informed consent was obtained from all participants. For follow-up, we consulted the digital patient charts in June 2019. Here we assessed the last follow-up visit where the patient was alive, the date and cause of death and if the patients had cardiac arrhythmias or implantable cardioverter defibrillator (ICD) therapies. Relevant cardiac arrhythmias were defined as definitive ventricular arrhythmia and sub-grouped into sustained (>30 seconds) or nonsustained (<30 seconds) ventricular tachycardia. ICD therapies were assessed by reviewing ICD interrogation documents and ICD therapy was defined as antitachycardia pacing and/or adequate shock.
Figure 1
A high-resolution 65-lead body-surface ECG was recorded for each patient with a computer-based recording and analysis system (Biosemi V.O.F., The Netherlands). Fourteen vertical self-adhesive straps with 65 electrodes were placed on the patient’s torso, as shown in this figure, starting from the vertebral column with the patient in the sitting position. The other electrodes were added with the patient lying down in a recumbent position. Four electrodes were placed on the extremities according to Einthoven. The electrodes D5, E5, F6, G6, H6 and I6 were placed according to Wilson’s leads (where electrode “D5” was equivalent to Wilson’s “V1”).
Study design
Electrocardiographic data recording
In order to eliminate any electromagnetic interference in the investigation room, all electrical devices were switched off. The room was silent. The room temperature was set at the same level for all measurements and the lights were turned off. All measurements were performed between 13:00 and 16:00. Patients were asked to abstain from tobacco, caffeine or alcohol intake on the day of the study.
A high-resolution 65-lead body-surface ECG was recorded for each patient with a computer-based recording and analysis system (Biosemi V.O.F., The Netherlands) [9, 10]. In total, 14 vertical self-adhesive straps with 65 unipolar electrodes were placed on the patient’s torso as shown in figure 1, starting from the vertebral column with the patient in the sitting position. The other electrodes were added with the patient lying down in a recumbent position. Four electrodes were placed on the extremities according to Einthoven. The electrodes D5, E5, F6, G6, H6 and I6 were placed according to Wilson’s leads (where electrode “D5” was equivalent to Wilson's “V1”), as previously described [10].
After patients had been lying for 5 minutes in a relaxed supine position, recordings were started and continued for at least 30 seconds. In patients with a cardiac device, the device was switched off after all the leads had been attached. After 90 seconds the signal was measured. Lead placement was optimised until all leads produced an acceptable signal. If we were unable to reduce the noise in all leads, we accepted a maximum number of 5–7 leads with noise (i.e., 10%). We used 10 seconds of recording and analysed three heart cycles. All measurements were performed by one observer.
Measurements of systolic left ventricular function
Echocardiographic measurements were made by experienced cardiologists and were performed within 3 months from study beginning. LVEF was determined with the biplane Simpson’s method. In every patient, coronary angiography had previously been performed in order to diagnose or rule out underlying coronary artery disease.
Data analysis
Details on the analysis, processing and calculation of the 65-lead ECG data are provided elsewhere [10]. As the presence of bundle branch block (and consequently a narrow or wide QRS complex) obviously influences repolarisation patterns, we grouped our subjects according to the width of the QRS complex: wide (>120ms) or narrow (<120ms). Thereafter we compared patients with ischaemic and nonischaemic cardiomyopathy, resulting in four groups. The following parameters were assessed in all four groups: QRS duration, QRS integral, RR interval, QTc duration, JT duration, JT integral, Tpeak-Tend duration, Tpeak-Tend integral.
QRS duration was determined from the beginning of the QRS complex to the J point. The onset of QRS, J point and offset of the T wave were identified manually from the root mean square (RMS) signal. The QTc was calculated using Bazett’s formula. The peak of the T wave was computed as the maximum RMS signal voltage of the ST-T interval where the RMS signal had the maximum value. RMS and the area under QRS complex, JT integral and Tpeak-Tend interval (integral) were calculated. Multiple measurements of the parameters were made and mean values were used for statistical analysis. If the onset or offset of a parameter was not clear in the RMS graph, callipers were adjusted according to the adjacent leads on the torso.
All data were analysed and processed off-line by the signal-processing tool ViewEDF, developed by UMIT (University for Health Informatics and Technology Tyrol, Institute for Medical Signal Processing and Imaging; Hall, Austria).
The RMS was calculated according to the formula below (figure 2) from all 65 leads using Matlab software 6.0 (The MathWorks, Inc., Natick, MA); leads with poor signal quality were excluded.
Figure 2
RMS calculation. N = number of analysed channels, v i = voltage [mV] of lead i.
Statistical analysis
Statistical analysis was performed with GraphPad InStat version 3.06 for Windows, San Diego, California, USA and SPSS, 2010, SPSS 18.0.2 for Windows, SPSS Inc., Armonk, NY, USA. Data are presented as mean (± standard deviation [SD]) and percentages, as appropriate. Correlations between quantitative variables were calculated by standard linear regression analysis. Differences in baseline characteristics and comparisons of changes between groups were assessed by paired or independent t-tests, as appropriate. Categorical data were compared using the chi-square test. A two-sided p-value of <0.05 was considered to be statistically significant.
Results
Population
Forty-two patients were included and categorised into four groups depending on the aetiology of cardiomyopathy and QRS complex width (measured on 12-lead surface ECG). The groups were defined as follows: patients with ischaemic cardiomyopathy and a narrow QRS <120 ms (nICMP); patients with ischaemic cardiomyopathy and a wide QRS >120 ms (wICMP,); patients with nonischaemic cardiomyopathy and a narrow QRS <120 ms (nDCMP); and patients with nonischaemic cardiomyopathy and a wide QRS >120 ms (wDCMP). Examples of 12-lead surface ECGs from each of the four groups are shown in figure 3. Baseline characteristics are summarised in table 1. In total, 56 patients were screened, 14 patients were excluded because of pacemaker dependency, atrial fibrillation and/or transient bundle branch block. Subjects with cardiac resynchronisation therapy or a pacemaker were investigated in intrinsic sinus rhythm. Subjects where then allocated to the four prespecified groups.
Figure 3
Examples of 12-lead surface ECGs of the four groups: patients with ischaemic cardiomyopathy and narrow a QRS <120 ms (nICMP); patients with ischaemic cardiomyopathy and a wide QRS >120 ms (wICMP); patients with nonischaemic cardiomyopathy and a narrow QRS <120 ms (nDCMP); and patients with nonischaemic cardiomyopathy and a wide QRS >120 ms (wDCMP).
Table 1
Baseline characteristics.
nICMP (n = 10)
wICMP (n = 12)
nDCMP (n = 10)
wDCMP (n = 10)
Age (years)
65 ± 10.5
69 ± 4.8
57 ± 12.8
68 ± 11
Male (%)
60
83
70
60
LVEF (%)
25 ± 5
22 ± 7
25 ± 6
21 ± 6
CRT/PM (n)
1/0
6/3
1/0
6/4
ICD
3
4
0
3
Beta-blockers
2/10
9/12
6/10
8/10
Diuretics
2/10
10/12
3/10
7/10
ACE inhibitors / sartans
1/10
9/12
7/10
8/10
Amiodarone
4/10
4/12
2/10
0
Spironolactone
3/10
3/12
0
5/10
ACE = angiotensin converting-enzyme; CRT/PM = cardiac resynchronisation therapy/pacemaker; ICD = implantable cardioverter defibrillator; LVEF = left ventricular ejection fraction. Values are mean ± standard deviation or percent as appropriate; p >0.05 for all comparisons.
In this observational study we found that, if matched for the aetiology of the underlying cardiomyopathy, patients with a wide QRS complex >120 ms had a statistically significantly longer Tpeak-Tend interval and Tpeak-Tend integral compared with those with a narrow QRS complex (wICMP vs nICMP, p = 0.03; wDCMP vs nDCMP, p <0.001). Interestingly, patients with ischaemic cardiomyopathy and a narrow QRS complex also had a statistically significantly longer Tpeak-Tend interval and Tpeak-Tendintegral than patients with a narrow QRS complex and nonischaemic cardiomyopathy (nICMP vs nDCMP, p<0.001). However, irrespective of underlying cardiomyopathy both groups with widened a QRS complex >120ms showed evidence of prolonged parameters of transmural dispersion of repolarisation (p = 0.816). Electrocardiographic characteristics are summarised in table 2.
Table 2
ECG characteristics.
nICMP (n = 10)
wICMP (n = 12)
nDCMP (n = 10)
wDCMP (n = 10)
nICMP vs wICMP
nICMP vs nDCMP
nICMP vs wDCMP
wICMP vs wDCMP
nDCMP vs wDCMP
QRS duration (ms)
104 ± 11
163 ± 24
103 ± 12
170 ± 20
p <0.05
n.s.
p <0.05
p <0.05
p <0.05
QRS integral
30 ± 14
79 ± 31
34 ± 13
87 ± 22
P <0.05
n.s.
p <0.05
p <0.05
p <0.05
JT duration (ms)
301 ± 34
303 ± 52
295 ± 55
269 ± 30
n.s.
n.s.
p <0.05
p <0.05
p <0.05
T duration (ms)
302 ± 29
303 ± 52
295 ± 55
269 ± 30
n.s.
n.s.
p <0.05
n.s.
n.s.
T integral
30 ± 9
73 ± 29
30 ± 15
76 ± 28
p <0.05
n.s.
p <0.05
p <0.05
p <0.05
Tp-Te interval (ms)
109 ± 10
124 ± 19
76 ± 7&
126 ± 20
p <0.05
p <0.05
p <0.05
p <0.05
p <0.05
Tp-Te integral
10 ± 4
24 ± 11
7 ± 3
30 ± 16
p <0.05
n.s.
p <0.05
p <0.05
p <0.05
QTc duration (ms)
438 ± 50
488 ± 45
412 ± 40
470 ± 47
p <0.05
n.s.
n.s.
p <0.05
p <0.05
Heart rate /min
73 ± 19
68 ± 16
70 ± 29
70 ± 12
n.s.
n.s.
n.s.
n.s.
n.s.
nICMP = ischaemic cardiomyopathy with normal QRS complex; wICMP = ischaemic cardiomyopathy with widened QRS complex; nDCMP = dilated cardiomyopathy with normal QRS complex; wDCMP = dilated cardiomyopathy with widened QRS complex; Tp-Te = Tpeak to Tend Values are mean ± standard deviation.
Arrhythmogenic events were recorded after a mean follow-up of 10 years for 40 patients out of 42 (95%). Arrhythmogenic events were recorded after a mean follow-up of 10 years for 40 patients out of 42 (95%). In total, 13 patients (31%) had any documented arrhythmia of ventricular origin, therapy from an implanted defibrillator or death. In total, 11 patients experienced ventricular tachycardia (9 non-sustained ventricular tachycardia, 6 sustained ventricular tachycardia; 4 patients had both sustained and non-sustained ventricular tachycardia). Furthermore, 6 patients received a therapy from an implanted defibrillator, and 4 patients died. As outcomes overlapped (i.e. a patient had ICD-therapies prior to death), the numbers do not add up to the sum of 13.No differences for the combined endpoint of ventricular arrhythmia, ICD therapy or death were found with respect to QRS duration, Tpeak-Tend interval and aetiology of cardiomyopathy. However, a statistically significant difference for death in patients with ischaemic cardiomyopathy as compared with those with nonischaemic cardiomyopathy was observed (p = 0.045, 4, 19% vs 0, 0%).
Discussion
It is of prognostic and therapeutic relevance to be able to distinguish between ischaemic and nonischaemic cardiomyopathy, particularly as SCD is one of the leading causes of death in patients with ischaemic cardiomyopathy. To date, several noninvasive markers have been considered for risk stratification. Recent data from the DANISH trial suggested that ischemic cardiomyopathy patients might in general benefit from wider use of ICD therapy, whereas only subgroups of nonischaemic cardiomyopathy patients showed beneficial effects [11].
There is growing evidence that an increase in dispersion of ventricular repolarisation, as reflected by the Tpeak-Tend interval, represents a more reliable independent predictor for malignant arrhythmias compared to QTc time in patients with Brugada syndrome, hypertrophic cardiomyopathy, heart failure with preserved ejection fraction (HFpEF), long QT syndrome and ischaemic cardiomyopathy [12–17]. In “in vitro experiments”, Tpeak-Tend has been established to be a measure of transmural dispersion of repolarisation due to a gradient in action potential duration from endocardial cells to epicardial and to midmyocardial M-cells [18, 19] [20]. Lately, the Tpeak-Tend interval has rather been suggested as an index of overall global heterogeneity of ventricular repolarisation across the three dimensions of the intact heart in vivo [21, 22].
However, amplification of the dispersion of ventricular repolarisation has long been known as a favourable electrophysiological substrate for the onset of malignant re-entry arrhythmias. The combination of unfavourable mechanical and electrical remodelling has been hypothesised on the basis of findings in isolated wedge preparations of failing human hearts, and impaired contractility has been related to alterations of transmural dispersion of repolarisation and impaired calcium handling across the different transmural layers. This effect has also been demonstrated in a randomised controlled trial, in which alteration in the dispersion of repolarisation has been positively associated with mechanical wall stress during obstructive apnoea [23, 24].
In our study we postulated the existence of different mechanical substrates due to either ischaemic or nonischaemic heart disease. We demonstrated an association of repolarisation abnormalities by analysing different parameters of transmural dispersion of repolarisation using a 65-lead ECG, which allowed more reliable calculations by limiting systematic errors due to unclear T wave offset [9]. We found that patients with coronary artery disease had a significantly prolonged Tpeak-Tend duration and Tpeak-Tend integral compared with patients with cardiomyopathy from other causes, despite normal parameters of depolarisation.
In a prospective study including 1570 patients with heart failure due to both dilated and ischaemic cardiomyopathy (mean LVEF 32% and 44%, respectively), Tpeak-Tend duration was found to be significantly longer in those who experienced SCD or appropriate cardioverter defibrillator discharge compared with healthy controls. However, this trial failed to find a prognostic value of prolongation in dispersion of repolarisation, possibly owing to a relatively preserved ejection fraction, indicating a not yet deranged mechanical ventricular remodelling [25]. In contrast, in another clinical study with a similar population but with a mean LVEF of 23%, a longer Tpeak-Tend interval measured during spontaneous rhythm predicted the onset of malignant arrhythmia as well as an increased overall mortality, even after correction for other independent predictors [26]. Recently, in a large prospective study including more than 138,000 individuals older than 50 years presenting to primary care, a U-shaped association between Tpeak-Tend duration and the risk of all-cause mortality, cardiovascular death and heart failure was found [27]. These findings have been confirmed in a recent meta-analysis analysing risk of SCD from 33 prospective and retrospective studies. A prolonged Tpeak-Tend interval was found to be associated with a 1.14-fold higher risk of SCD or malignant ventricular arrhythmia independently of characteristics of the populations [28].
In our small study, we found a statistically significant increase in parameters of dispersion of repolarisation in patients with heart failure due to ischaemic heart disease, regardless of alterations in depolarisation as defined by QRS width. This finding may reflect a specific arrhythmogenic morphological substrate attributable to ischaemic cardiomyopathy. Several animal studies have tried to address this hypothesis. In a porcine model of myocardial infarction, acute ischaemia resulted in an increase in dispersion of repolarisation and was postulated to contribute to ventricular fibrillation, possibly by facilitating the onset of a unidirectional conduction block [29]. In another animal model, Tpeak-Tend duration strongly correlated with the invasively measured increase in ventricular dispersion of repolarisation caused by bilateral sympathetic nerve stimulation [30]. Therefore, this may directly reflect increased sympathetic nerve activation, a common condition after myocardial infarction, possibly leading to SCD [31]. Further studies suggested that measurement of Tpeak-Tend interval seems to be an appropriate tool for arrhythmogenic risk stratification in patients who suffered acute myocardial ischaemia even after successful reperfusion treatment. This increased risk may also be increased due to a post-ischaemic disadaptive chronic activation of the sympathetic nervous system [32–34]. This could be one reason why patients with heart failure due to ischaemic cardiomyopathy are at higher risk for ventricular arrhythmias than a matched population with heart failure due to other causes, despite having no signs of ventricular remodelling (like, for example, bundle branch block).
Not surprisingly, we found that a QRS duration >120ms was related to an increase in parameters of dispersion of repolarisation independently of the aetiology of heart failure. Cardiac dyssynchrony is a known unfavourable prognostic factor in heart failure and resynchronisation therapy is, by now, a well-established therapy with a high level of recommendation for these patients [35]. There is also evidence regarding a beneficial effect of resynchronisation therapy on dispersion of ventricular repolarisation [36]. In ischaemic and nonischaemic patients, QRS widening due to QRS fragmentation indicated a worse prognosis and may reflect electromechanical remodelling due to myocardial scarring [25, 37].
We found a significant increase in mortality in patients with ischaemic cardiomyopathy as compared with patients with dilated cardiomyopathy. In line with the DANISH trial, which showed that in dilated cardiomyopathy ICDs were not associated with a significantly lower long-term rate of death from any cause than was usual clinical care [38], our results also indicate that the ischaemic cause of heart failure is especially vulnerable to arrhythmic events. No differences were found, however, based on QRS duration. This might be explained by the small size of our population.
The Tpeak-Tend interval helps to identify these detrimental myocardial and electrical remodelling effects independently of the underlying aetiology. Therefore, measurement of Tpeak-Tend interval may help to further improve risk stratification on an individual basis.
Some confounding factors must be considered. Firstly, this was a small observational study with limited data, and unknown confounders related to a small sample size might have influenced the results. Furthermore, we did not have data on myocardial scaring (cardiac magnetic resonance imaging or voltage maps from invasive electrophysiological studies).The percentage of atrial, right and left ventricular pacing before the 65-lead ECG had not been recorded. Also, several methodological limitations also apply. We used a standardised protocol for the application of the vertical electrode strips; however, slight variability due to body size and shape are possible. Confounding of T wave memory might apply to our patients with cardiac devices. Because of time restraints and also the safety of the patients, we refrained from waiting longer with a deactivated device. We therefore cannot rule out some T wave memory effects that might have confounded our results.
However, the strength of the study was the very long follow up. The identification of the T wave offset was sometimes problematic, which may have resulted in intraobserver and interobserver variability. To adjust for this limitation multiple measurements were performed and average values were used for statistical analysis.
Finally, there is a circadian variability in both depolarisation and repolarisation characteristics. Measurements in our study were performed in the early afternoon on a routinely basis.
Conclusion
In this study we analysed different parameters of the transmural dispersion of repolarisation by using a high-resolution 65-lead ECG, which allowed more reliable calculations by reducing systematic errors due to unclear T wave offset. We found that patients with ischaemic heart failure show statistically significant prolonged Tpeak-Tend duration and Tpeak-Tend integral values as compared with nonischaemic heart failure patients, despite normal parameters of depolarisation. This may reflect the different arrhythmogenic morphological substrate, and explain why ventricular tachycardia is much more common in ischaemic cardiomyopathy. These data may provide further evidence for the detection and stratification of patients who could benefit from prophylactic implantation of defibrillator.
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