Vudhiporn Limprasutr1, Prapawadee Pirintr1,2, Anusak Kijtawornrat1,3, Robert L Hamlin4. 1. Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, 39 Henri Dunant Road, Wang Mai, Pathumwan, Bangkok 10330, Thailand. 2. Department of Veterinary Biosciences and Veterinary Public Health, Faculty of Veterinary Medicine, Chiang Mai University, 155 Tumbon Mae Hiae, Muang, Chiang Mai 50100, Thailand. 3. Research clusters: research study and testing of drug's effect related to cardiovascular system in laboratory animals, Chulalongkorn University, 39 Henri Dunant Road, Wang Mai, Pathumwan, Bangkok 10330, Thailand. 4. QTest Labs, LLC. 6456 Fiesta Drive, Columbus, Ohio 43235, USA.
Abstract
The QTc interval is widely used in Safety Pharmacological studies to predict arrhythmia risk, and the electromechanical window (EMW) and short-term variability of QT intervals (STVQT) have been studied as new biomarkers for drug-induced Torsades de Pointes (TdP). However, the use of EMW and STVQT to predict ventricular fibrillation (VF) has not been elucidated. This study aimed to evaluate EMW and STVQT to predict VF in anesthetized rabbit model of VF. VF was induced by ligation of the left anterior descending and a descending branch of the left circumflex coronary arteries in a sample population of rabbits (n=18). VF was developed 55.6% (10/18). In rabbit with VF, the EMW was significantly higher than in rabbits without VF (96.3 ± 15.6 ms and 49.5 ± 5.6 ms, respectively, P<0.05). STVQT had significantly increased before the onset of VF in rabbits that experienced VF, but not in rabbits that did not experience VF (11.7 ± 1.8 ms and 3.7 ± 0.4 ms, respectively, P<0.05). The EMW and STVQT had better predictive power for VF with higher sensitivity and specificity than the QTc measure. The result suggested that the increasing of EMW, as well as the elevation of STVQT, can potentially be used as biomarkers for predicting of VF.
The QTc interval is widely used in Safety Pharmacological studies to predict arrhythmia risk, and the electromechanical window (EMW) and short-term variability of QT intervals (STVQT) have been studied as new biomarkers for drug-induced Torsades de Pointes (TdP). However, the use of EMW and STVQT to predict ventricular fibrillation (VF) has not been elucidated. This study aimed to evaluate EMW and STVQT to predict VF in anesthetized rabbit model of VF. VF was induced by ligation of the left anterior descending and a descending branch of the left circumflex coronary arteries in a sample population of rabbits (n=18). VF was developed 55.6% (10/18). In rabbit with VF, the EMW was significantly higher than in rabbits without VF (96.3 ± 15.6 ms and 49.5 ± 5.6 ms, respectively, P<0.05). STVQT had significantly increased before the onset of VF in rabbits that experienced VF, but not in rabbits that did not experience VF (11.7 ± 1.8 ms and 3.7 ± 0.4 ms, respectively, P<0.05). The EMW and STVQT had better predictive power for VF with higher sensitivity and specificity than the QTc measure. The result suggested that the increasing of EMW, as well as the elevation of STVQT, can potentially be used as biomarkers for predicting of VF.
The QT interval (QT), the duration from the beginning of the Q wave to the end of T wave of
electrocardiogram (ECG), and the QTc interval, the QT corrected for heart rate, have been
used as surrogate markers to assess the risk of arrhythmia from new chemical entities (ICH
harmonized tripartite guideline; safety pharmacology studies for human pharmaceuticals S7A
and S7B). These tests have been performed by both pharmaceutical companies and regulatory
agencies. Prolonged QT and QTc intervals reflected the retardation of ventricular
depolarization and repolarization are associated with an increased risk of ventricular
arrhythmias, particularly Torsades de Pointes (TdP) and sudden cardiac death. Interestingly,
several investigators indicated that QT and QTc intervals are poor predictor of drug-induced
arrhythmias [18, 21, 27]. In male patients with idiopathic
ventricular fibrillation (VF), the QT interval was found to be short [38]. In anesthetized rabbit infused with QT shortening drugs, it was
shown that pinacidil shortened the QT interval and induced VF [22]. However, literatures have demonstrated that the QT interval alone is
not sufficient to predict the occurrence of VF in the acute phase of myocardial infarction
in rhesus monkeys and human [31, 35].The electromechanical window (EMW), the interval between the end of T wave and the end of
the left ventricular pressure (LVP), has been used to investigate the harmonization between
the electrical signals and mechanical forces of the heart [37]. Several studies have demonstrated that a negative EMW is associated with the
incidence of TdP [10, 11, 37]. Findings were observed in an
anesthetized guinea pigs model of long QT syndrome type 2 [10, 11] and in a dog model of long QT
syndrome type 1 [37]. It has also been determined
that the EMW is a superior indicator to the QT and QTc intervals [37]. Therefore, the EMW appears to be a reliable biomarker for predicting
TdP. Functional re-entry is the common mechanism of arrhythmia for both TdP and ventricular
fibrillation (VF) [19], and yet the EMW has not been
investigated in the rabbit model of ischemia/reperfusion arrhythmias.Short-term variability of the QT intervals (STVQT) quantifies the heterogeneity
of the QT interval from one cycle to the next cycle [36]. In animal experiments, an increased STVQT is associated with
ventricular arrhythmias in drug-induced TdP and in long QT syndrome [13, 32,33,34]. In humans with
drug-induced long QT syndrome and non-ischemic heart disease, STVQT has been
proven to be a useful index facilitating the identification of patients at risk of
arrhythmias [13, 14]. Recently, the pro-arrhythmia nature of new chemical entities due to induced
VF has gained interest, and STVQT has been investigated to predict the likelihood
of VF in a rat model of ischemia-induced VF [28].It is not clear whether QT or QTc intervals are reliable biomarkers for cardiac
arrhythmias, and especially for fatal VF. Therefore, the present study aimed to assess
changes in the EMW and STVQT in a rabbit model of VF induced by ligation of the
coronary arteries. The hypothesis of the current study was that the EMW and STVQT
increased in ischemic heart before the occurrence of VF.
Materials and Methods
Approvals
This study was approved by the Institutional Animal Care and Use Committee of
Chulalongkorn University (protocol number 1673033). All experimental animal procedures
were performed in compliance with the guidelines outlined in the Guide for the Care and
Use of Laboratory Animals (2011).
Animals
A total of eighteen healthy mature (3–4 months old) New Zealand White rabbits
(Oryctolagus cuniculus), weighing between 2–3 kg of either gender were
purchased from Department of Animal Husbandry, Faculty of Veterinary Science,
Chulalongkorn University (Bangkok, Thailand). They were housed as group from the time of
arrival until the end of the study in a rabbit caging system maintained at a temperature
of 21 ± 1°C, a relative humidity of 50–70%, and a 12:12 h light:dark cycle.
All animals were received commercial rabbit diet and water ad
libitum.
Experimental procedures
All rabbits were given tiletamine (50 mg/ml)/zolazepam (50 mg/ml) (Zoletil 100, Virbac,
France) 25 mg/kg intramuscularly. After induction, the hair over the thoracic and the neck
area was clipped. The rabbit was secured in a dorsal recumbency on water-circulating
heating pad to maintain body temperature. The propofol (8–30 mg/kg/h) was administered
intravenously to achieve an appropriate anesthetic plane.A lead I electrocardiogram (ECG) was obtained by placing electrodes between the right (−)
and left (+) front legs. The ground electrode was placed at right hind limb. Cutdown was
performed to isolate the right carotid artery. A high-fidelity micromanometer catheter
(Millar Instruments, Texas, USA) was placed retrograde in the left ventricle via right
common carotid artery for recording the left ventricular pressure (LVP).The process of ischemia-induced arrhythmia been described previously [2]. In brief, the thorax was opened via a midline
sternotomy. After the pericardium was opened, the 4–0 monofilament polypropylene sutures
with needle were placed around the left anterior descending (LAD) coronary artery and a
descending branch of the left circumflex artery [20]. The rabbit was allowed to stabilize for at least 20 min. Thereafter, the
animal was subjected to an acute, ischemic insult for 30 min by tightening of the coronary
arteries on PE-150. Myocardial ischemia was visually confirmed by color (i.e. cyanotic)
changes in distal distributions of the ligation, and the ST elevation was observed using
ECG. During the occlusion period, the experiment was stopped as soon as VF started, and
rabbits were euthanized with 150 mg/kg pentobarbital sodium (Nembutal, Ceva Sante Animale,
Libourne, France) administered intravenously. In case of no VF occurred during occlusion,
rabbits were monitored until the end of 30 min occlusion period. At the end of the
occlusion period, all rabbits were euthanized while they were under general anesthesia.
Rabbits with or without VF during ischemia were allocated into the VF+ and VF− groups
respectively. ECG and LVP were recorded from the beginning of the experiment and continue
to monitor until the end of experiment. All parameters were obtained at baseline and a min
before VF development (VF+) or at 30-min after coronary ligation (VF−).
Data analysis
Data were recorded and analyzed using Acq 3.9.1 acquisition systems (Biopac MP150, Santa
Barbara, CA, USA). Standard ECG (RR, PQ, QRS, QT) and LVP (end-diastolic pressure, EDP;
end-systolic pressure, ESP; the maximum rate of rise of the LVP, dP/dtmax; the
maximum rate of fall of the LVP, dP/dtmin; relaxation time-constant, tau)
parameters, and the EMW were manually measured. The values of the parameters in both
groups of rabbits, i.e. those groups with and without VF, were averaged from baseline, a
min just before the VF occurred, or at the end of 30th min of occlusion. An average of the
31 cardiac cycles per timepoint originated from the sinus node was reported. The QT was
defined as the duration from the beginning of the Q wave to the end of T wave. QTcF was
calculated according to Fridericia’s equation [7].
STVQT was calculated using the formula: STVQT = ∑ │ Dn + 1 − Dn │
/ [30 × √2] whereas D=the duration of QT (ms) without the occurred ventricular premature
complex (VPC) [32]. The EMW was defined as the time
difference between the duration of left ventricular pressure measured from the beginning
of the Q wave to the end of left ventricular pressure (QLVPend) and the QT interval. The
EMW was calculated using the following formula: EMW = QLVPend-QT [37]. The tau was calculated according to Glantz method [26]. The VF is characterized by ventricular complexes
that are changing in frequency and amplitude in the ECG, resulting in the irregular
patterns of ventricular excitation [25, 40]. The R-on-T was defined as the superimposition of
an ectopic beat on the T wave of a preceding beat. The VF was defined as irregular
unformed QRS complexes without any P waves, with 5 or more irregular beats on a row. The
frequency of arrhythmic beats (i.e. VPC and R-on-T) that developed during occlusion was
also reported.Statistical analyses were performed with commercially available software (SPSS Statistics
17.0, IBM, NY, USA). All values were expressed as means ± SEM. The differences in
incidences of VF were compared using Fisher’s exact test. Values for ECG and LVP
parameters were compared between groups (i.e. VF− versus VF+) and between timepoints (i.e.
baseline vs occlusion) two-way ANOVA with repeated measures followed by Tukey post-hoc
analyses. Frequencies of arrhythmic beats at occlusion period were compared between groups
using t-test. Statistical significance was achieved when
P<0.05. Receiver operating characteristic (ROC) curve analysis was
performed to determine the predictive power of EMW, STVQT, QT and QTcF. Area
under the ROC curve (AUC) and confidence intervals were calculated. Parameters that
yielded an AUC that was greater than 0.8 were considered to have a validated predictive
value for the occurrence of VF [24]. The optimal
cut-off values were determined using Youden indexes.
Results
Incidence of ventricular fibrillation
Readable ECG and LVP data were obtained from all rabbits. After ligation of LAD and a
descending branch of the left circumflex arteries, VF developed during the occlusion
period in ten out of 18 rabbits (55.6%, P<0.01), no TdP was shown in
any rabbits. The ST elevation was observed after occlusion of the coronary arteries in all
rabbits. A representative tracing of the ECG (lead I) and of the LVP signals at baseline,
during the development of VF (VF+) and during occlusion (VF−) in anesthetized rabbits were
shown in Fig. 1.
Fig. 1.
Representatives of electrocardiogram (ECG) tracings (top) and left ventricular
pressures (LVP) (bottom) obtained from anesthetized rabbits during baseline (A, C)
and occlusion (B, D) periods. A=the ECG and LVP waveforms observed during the
baseline in rabbit without VF (VF−). B=the ECG and LVP waveforms observed during the
occlusion period in rabbit without VF. C=the ECG and LVP waveforms observed during
the baseline in rabbit with VF (VF+). D=the ECG and LVP waveforms observed during
the occlusion period in rabbit with VF notice the development of VF.
Representatives of electrocardiogram (ECG) tracings (top) and left ventricular
pressures (LVP) (bottom) obtained from anesthetized rabbits during baseline (A, C)
and occlusion (B, D) periods. A=the ECG and LVP waveforms observed during the
baseline in rabbit without VF (VF−). B=the ECG and LVP waveforms observed during the
occlusion period in rabbit without VF. C=the ECG and LVP waveforms observed during
the baseline in rabbit with VF (VF+). D=the ECG and LVP waveforms observed during
the occlusion period in rabbit with VF notice the development of VF.
Changes of EMW, STVQT and parameters of ECG and LVP
At baseline, all parameters did not differ between VF+ and VF− rabbits (Fig. 2). The data of VF− obtained at the end of occlusion period were used to compare with
the data obtained from the VF+ rabbits obtained a min just before the development of VF.
In VF+ rabbits, the EMW at occlusion (96.3 ± 15.6 ms) was significantly higher than
baseline value (45.7 ± 4.4 ms) and value of VF− rabbits at occlusion (49.5 ± 5.6 ms)
(P<0.05, Fig. 2A). The
STVQT (Fig. 2B) in VF+ rabbits at
occlusion (11.7 ± 1.8 ms) was significantly greater than the STVQT at baseline
(4.1 ± 0.3 ms) and that value in VF− rabbits obtained during occlusion (3.7 ± 0.4 ms)
(P<0.05). During occlusion, the QT interval (Fig. 2C), QTcF interval (Fig.
2D), EDP (Fig. 2E) and
dP/dtmin (Fig. 2F) were
significantly increased from baseline in both groups (P<0.05) but
these parameters did not differ between groups. During occlusion, the ESP (Fig. 2G) and dP/dtmax (Fig. 2H) were significantly decreased from baseline
in both groups (P<0.05) but these values were not differ between
groups at occlusion. In VF+ rabbits during occlusion, the tau was significantly increased
when compared with data obtained at baseline of the same group and at occlusion of the VF−
rabbits (P<0.05) (Fig. 2I).
In VF− rabbits at occlusion, tau was also significantly higher than tau at baseline of the
same group (P<0.05). During occlusion, the HR of VF+ rabbits was
significantly lower than the HR of VF− rabbits (HR: baseline 236 ± 7.1 bpm and 235 ± 11
bpm, respectively, and during occlusion 187 ± 7.4 bpm and 221 ± 9.5 bpm,
P<0.05, respectively).
Fig. 2.
Plots of electromechanical window (EMW), short-term variability of QT interval
(STVQT), QT interval, QTcF interval, end-diastolic pressure (EDP), the
maximum rate of fall of the left ventricular pressure (dP/dtmin),
end-systolic pressure (ESP), the maximum rate of rise of the left ventricular
pressure (dP/dtmax), relaxation time-constant (tau) at baseline and
during occlusion. All values are expressed as mean ± SEM. # indicates
P<0.05 compared with baseline, * indicates
P<0.05 compared between groups (rabbits with ventricular
fibrillation, VF+; rabbits without ventricular fibrillation VF−), QTcF=corrected QT
interval by Fridericia’s formula.
Plots of electromechanical window (EMW), short-term variability of QT interval
(STVQT), QT interval, QTcF interval, end-diastolic pressure (EDP), the
maximum rate of fall of the left ventricular pressure (dP/dtmin),
end-systolic pressure (ESP), the maximum rate of rise of the left ventricular
pressure (dP/dtmax), relaxation time-constant (tau) at baseline and
during occlusion. All values are expressed as mean ± SEM. # indicates
P<0.05 compared with baseline, * indicates
P<0.05 compared between groups (rabbits with ventricular
fibrillation, VF+; rabbits without ventricular fibrillation VF−), QTcF=corrected QT
interval by Fridericia’s formula.ROC analysis showed that both QT and QTcF intervals had AUC values less than 0.8 while
the ROC analysis of the EMW and STVQT yield AUC values greater than 0.8 (Table 1). Therefore, the QT and QTcF intervals were not valid predictive values for
the occurrence of VF. The sensitivities of the EMW and the STVQT were 0.67 and
0.9, respectively. The specificities of the EMW and the STVQT were 0.83 and
0.88, respectively (Fig. 3). Therefore, only these two parameters predicted VF with relatively high
sensitivity and specificity. The AUC value of the EMW was lower than the value for the
STVQT, indicating a relatively lower predictive power. The optimal cut-off
values of EMW and STVQT were 64 ms and 5.31 ms, respectively.
Table 1.
Predictive power, sensitivity and specificity for QT, QTcF, EMW and
STVQT
Parameters
AUC
Sensitivity (%)
Specificity (%)
QT
0.664
60
54
QTcF
0.54
60
58
EMW
0.829
67
83
STVQT
0.963
90
88
AUC; area under the curve; QT; the QT interval; QTcF; the corrected QT interval by
Fridericia’s formula; EWM; electromechanical window; STVQT; short-term
variability of QT interval.
Fig. 3.
Receiver operating characteristic (ROC) curve analysis of electromechanical window
(EMW, A) and the short-term variability of QT interval (STVQT) for the
prediction of ventricular fibrillation in ischemic anesthetized rabbits. The area
under curve (AUC) and cut-off value were shown in each graphs.
AUC; area under the curve; QT; the QT interval; QTcF; the corrected QT interval by
Fridericia’s formula; EWM; electromechanical window; STVQT; short-term
variability of QT interval.Receiver operating characteristic (ROC) curve analysis of electromechanical window
(EMW, A) and the short-term variability of QT interval (STVQT) for the
prediction of ventricular fibrillation in ischemic anesthetized rabbits. The area
under curve (AUC) and cut-off value were shown in each graphs.In anesthetized rabbits with propofol, the EMW values at baseline were ranging from 23 to
78.8 ms. The current study found that the EMW begins to increase just before the VF
develops in VF+ rabbits. However, the EMW did not change throughout the experiment in VF−
rabbits. Similarly, the value of STVQT in the current study was minimal during
baseline (ranging from 2.29 to 6.6 ms) and this value was increased just before VF
occurred.
Frequency of arrhythmic beats
The frequency of arrhythmic beats is presented in Fig.
4. At baseline and before coronary occlusion, the arrhythmic beats were zero. During
occlusion, the frequencies of R-on-T and VPC in VF+ rabbits had increased significantly
when compared with VF− rabbits (P<0.05). However, the predictive
power, sensitivity and specificity of the arrhythmic frequencies for prediction of VF were
lower than 0.8.
Fig. 4.
Plot of the frequency of arrhythmic beats including ventricular premature complexes
(VPCs) and R-on-T during occlusion period compared between rabbits with (VF+) and
without (VF−) ventricular fibrillation. All values are shown as mean ± SEM. *
indicates P<0.05 compared between groups (VF+ versus the
VF−).
Plot of the frequency of arrhythmic beats including ventricular premature complexes
(VPCs) and R-on-T during occlusion period compared between rabbits with (VF+) and
without (VF−) ventricular fibrillation. All values are shown as mean ± SEM. *
indicates P<0.05 compared between groups (VF+ versus the
VF−).
Discussion
The main aim of the present study was to investigate whether the changes in the EMW and
STVQT can be used to predict the risk of VF in an anesthetized rabbit model of
ischemic-induced ventricular arrhythmias. The main findings were that increases of EMW and
STVQT were observed just before the VF. These two indices had great predictive
power with high sensitivity and specificity for the occurrence of VF. In contrast, changes
of the QT and QTcF intervals were not predictive of VF.Prolonged duration of cardiac action potential duration and consequent lengthening of the
QT intervals is proarrhythmic. However, it has been recognized that not all drugs that
lengthen QT and QTc intervals possess proarrhythmic effects. The lengthening of QT and QTc
intervals has been used as a surrogate marker for drug-induced TdP for decades [17]. Prior studies suggest that the QTc interval is an
unreliable predictor of ventricular arrhythmia [15,
16]. While several novel biomarkers (i.e. iCEB,
TRIaD, STVQT and EMW) have been established to predict drug-induced TdP,
biomarkers for drug-induced shortening of the QT interval have been overlooked [23, 30, 33, 37]. Previous
study has demonstrated that the absolute beat-to-beat variability and instability parameters
of ECG intervals, otherwise known as BVI, have been validated for predicting
ischemia-induced VF in an isolated heart preparation [28]. The study also demonstrated that QT and QTc intervals did not differ between
‘VF+’ and ‘VF−’ groups. However, absolute BVI could be used as a surrogate for VF in
preclinical drug investigations.The present study showed that an increase EMW is associated with VF in the anesthetized
rabbit model of ischemia. The EMW quantified the differences between the QT interval and the
duration of the mechanical event. To the best of our knowledge, this is the first study
designed to evaluate the EMW for predicting VF in anesthetized rabbits. Previous studies
have found that a negative EMW is associated with drug-induced TdP in several animal models
[10, 11,
37]. Those authors also demonstrated that the EMW
is not interfered by heart rate and body temperature. Therefore, the measure has been
suggested for use as a biomarker in preclinical cardiovascular safety studies [37].The present study also demonstrated that an increased STVQT is associated with
VF in the model of ischemia. The STVQT, known as beat-to-beat variability of
repolarization or BVR, is used to quantify the temporal repolarization liability. Similar
results to our findings have been demonstrated in the isolated rat heart, where the elevated
STVQT had great predictive power for the occurrence of VF [28]. Previous studies have also found that the increase
in STVQT caused by both cardiovascular and non-cardiovascular drugs can be used
to predict drug-induced TdP [8, 32, 33]. Even as the detailed
mechanisms of drug-induced TdP and VF are different, they share a broader common mechanism.
Functional re-entry could explain the elevated STVQT in both types of arrhythmias
[9].An increased frequency of arrhythmic beats is associated with increase heterogeneity of
repolarization, and has been suggested to be a substrate for the re-entry pathway, and a
trigger for arrhythmias [1, 3]. Recently, the frequency of arrhythmic beats and R-on-T were found to
be good predictors of the occurrence of VF in isolated rat hearts [28]. However, the complexity of arrhythmic beats was suggested to be more
important for the mechanism of drug-induced TdP than the frequency of arrhythmic beats in an
α1-adrenoceptor-stimulated, anesthetized rabbit model [6]. In the present study, the frequency of arrhythmic beats (i.e. R-on-T
and VPC) in the VF+ rabbits was noticeably greater during coronary occlusion when compared
with baseline or VF− rabbits.Anesthetized rabbits were used because there is relatively similar profile between the
potassium currents in rabbits and those in humans, although the heart rate is differs [5]. In the current study, coronary occlusion produced
reductions in HR, ESP and dP/dtmax whereas the QT, QTcF, EDP, dP/dtmin
and tau were increased. These results indicate that the model of acute myocardial ischemia
performed by coronaries ligation was successfully established. Similar results were found in
previous works of rabbits and other species [2, 4, 29, 39].Rabbit models of ischemia are one of many other models of ventricular arrhythmias.
Therefore, further studies should be performed in several animal models to confirm our
findings. In addition, numerous factors (i.e. contractility, blood pressure and changes in
preload) may affect the change of the EMW. Therefore, these factors must be evaluated before
further investigations on the use of the EMW in humans. The potential limitation of this
study is the quantity of infarcted area and area at risk since it may influence the outcome
of arrhythmia. However, from our experience with this model, we have used the same procedure
as our previous publications to produce the similar myocardial ischemia in every rabbits
[2, 12, 20]. Therefore, the lack of measurements of infarcted
area and area at risk in this study may not confound our results.In conclusion, this study shows that, in comparison with the measure of QT/QTc intervals,
changes in the EMW and STVQT are more sensitive to the development of VF in
rabbit models, but these do not change in rabbits without VF. The present study is an early
step in the validation of the EMW as a predictive measure, and illustrates the feasibility
of using the EMW and STVQT in predicting the risk of VF created by the ligation
of coronary arteries.
Conflict of Interest
The authors declare that they have no conflict of interest.
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