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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Comput Cardiol (2010). Author manuscript; available in PMC 2011 June 27.
Published in final edited form as:
Comput Cardiol (2010). 2010 September 26; 37: 357–360.
PMCID: PMC3124352
NIHMSID: NIHMS302681

Static and Dynamic Electrocardiographic Patterns Preceding Torsades de Pointes in the Acquired and Congenital Long QT Syndrome

Abstract

The arrhythmogenic mechanisms involved in the triggering of the polymorphic ventricular tachycardia called torsades de pointes (TdPs) remains to be elucidated. In this work, we investigated the static and dynamic profiles of the repolarization interval from the surface electrocardiogram recorded in healthy individuals and in cardiac patients with TdPs. We implemented this analysis just prior to the arrhythmia onset and we computed the delta values based on baseline periods (1 hour prior to event). We measured QT/QTc prolongation, QT variability, ventricular ectopic beats (VPBs) frequency, T-wave amplitude, T-peak to T-end interval, and T-wave complexcity. The analysis of these parameters in reference to baseline revealed 1) an increased QTc variability, 2) the presence of VPCs, and 3) the profound changes in T-loop morphology in patients developing TdPs.

1. Introduction

The lack of understanding of the arrhythmogenic mechanisms involved in TdPs is sustained by the rarity of documented clinical cases. Most experts in the field have agreed on qualitative electrocardiographic manifestations preceding the arrhythmias such as: labile QT interval, “pause-dependent” onset of the arrhythmia [1], abnormal T-wave morphology [2], early after depolarizations and ectopic beats[3], and increased ventricular repolarization heterogeneity [4-6]. The independent and combined roles of these electrophysiological factors in the triggering of TdPs remain to be elucidated but several models have been proposed [3;7] in which the role of an increased repolarization heterogeneity is presented as a required predisposing factor.

Most of these electrophysiological factors could be reflected on the body-surface ECGs. Consequently, we propose to investigate the repolarization ECG signal based on computerized beat-to-beat quantitative tools in patients whom experienced drug-induced TdPs while being monitored using Holter ECG apparatus. We propose to investigate the standard clinical ECG metrics such as RR and QT intervals and complement these measurements with less clinical measurements designed to quantify static and dynamic aspects of the repolarization segment.

2. Methods

2.1. Study populations

The cohort of patients and individuals included in this study consist of three cardiac patients, two patients with the congenital long QT syndrome (LQTS) and three healthy subjects. The Holter recordings from these cardiac patients are from the database E-OTH-12-06-009 of the THEW [8]. The clinical information is described in Table 1. Healthy individuals (N=3): the healthy individuals were exposed to sotalol in a study published previously [9]. The Holter ECGs from the three individuals showing the longest QTc prolongation induced by dl-sotalol during the experiment were selected here. TdP patients (N=5): the patients with TdPs are either congenital LQTS (cLQTS, N=2) or drug-induced LQTS (dLQTS, N=3) patients. All patients had a normal creatinine level. The healthy subjects were given oral dlsotalol (320 mg), while the dLQTS group received dlsotalol intravenously at a rate of 2mg/kg bodyweight. The cLQTS patients experience spontaneous episodes of TdPs.

Table 1
Clinical description of the study populations

2.2. Holter ECG recordings

All the Holter ECGs used in this study were acquired using the H12 recorder from Mortara Instrument (Milwaukee, MN). The technical specifications of the recordings are: 12 leads (torso), 128 Hz sampling frequency, 5 μV amplitude resolution, and 24-hour duration. The ECG files and annotation information were downloaded from the THEW in ISHNE format [10].

2.3. Electrocardiographic parameters

The list of ECG parameters investigated in this study is provided in Table 2 in addition to their links to factors currently considered potential triggers of TdPs. These links are based on mechanistic concepts such as the ones from the TRiAD [7], these concepts include transmural dispersion of repolarization [3], instability (variability and alternans of the repolarization segment) and early after depolarization (EADs) [3], amongst others.

Table 2
Matrix of ECG measurements and associated torsadogenic factors.

All the computerized measurements were realized using the academic version of the COMPAS software (University of Rochester, Rochester, NY). The instability of the repolarization was estimated using the median absolute deviation (MAD) of the beat-to-beat measurements of the QT interval after heart rate correction based on the Fridericia formula. To further control for the effect of RR variation, we divided these MAD values by the MAD of the RR intervals (MADQTc/MADRR).

We computed the average ECG measurements in a time interval of 10 minutes prior to the occurrence of TdPs in the LQTS patients (dLQTS and cLQTS) and in 10 minutes intervals prior to the maximum QTc prolongation in healthy individuals. Then, we computed the changes in these parameters between these intervals and baseline periods of 10 minutes starting 70 minutes prior to TdPs in LQTS patients and 130 minutes prior to maximum QTc prolongation in healthy subjects. We opted for earlier baseline in the group of healthy because the drug was given orally.

3. Results

3.1. Repolarization profiles preceding the occurrence of TdPs

The figure 1 provides an example of the occurrence of TdPs in one of the cardiac patients (age 77 yrs old). The group of patients with the LQTS has longer QTc interval duration than the other groups (see Table 3). TpTe interval duration is equivalent in all groups. Variability of the QTc interval, T roundness and number of VPCs are higher in the groups of patients developing TdPs (cLQTS and dLQTS).

Figure 1
Example of ECG tracings of the onset of a drug-induced TdPs in one of the dLQTS patients.
Table 3
Average values of ECG parameters prior to the occurrence of TdPs and prior to maximum sotalol-induced QTc prolongation.

3.2. Repolarization changes preceding the occurrence of TdPs

Repolarization changes in reference to baseline periods for the three groups are provided in Table 4. First, the individuals on sotalol show large increase in RR values due to the bradycardic effect of sotalol. The increase of QTc interval is similar between groups (~80 msec) even in the group of patients exposed to sotalol who did not develop any TdPs.

Table 4
Matrix of changes in ECG measurements for the three groups.

TpTe prolongation is not evenly increased between these groups, and lTdPs patients' results revealed a shortening of TpTe interval prior to the occurrence of the TdPs. dLQTS are associated with TpTe interval prolongation (35±12 msec). Interestingly, the QTc variability (madQTc) is one of the factors presenting an increase in the groups developing TdPs while the variability is not changed neither high at baseline in the group of healthy individuals on sotalol who did not develop TdPs. Figure 2 illustrates the increased instability of repolarization measurements before the access of TdPs i.e. increased frequency of VPCs and increased beat-to-beat variability of other parameters. The amplitude of the T-wave is decreased on sotalol (dLQTS and healthy) but not in the group of cLQTS patients. Interestingly, the roundness of the T-loop is not increased in the two dLQTS patients prior to TdPs (standard deviation 0.26) while it is in cLQTS patients. Λ2/ Λ1 values remain unchanged in Healthy. All groups developing TdPs reveal a clear increase in frequency of TdPs (~40 VPCs/10min).

Figure 2
Monitoring of the repolarization parameters (RR, QTc, TpTe and VPCs). The grey arrows mark the start of the time of sotalol injection while the black arrows locate the onset of the first TdPs. Increased RR variability and repolarization instability are ...

The increased complexity of the T-loop just prior to the occurrence of the TdPs is expected since it reflects a increased repolarization heterogeneity. The values of repolarization complexity are, in average, over 0.3 before the onset of TdPs in dLQTS and cLQTS. But, the Λ2/ Λ1 values in the dLQTS group are in average decreased just prior to TdPs (see upper panel, Figure 3). Importantly, the dynamic profile of heterogeneity versus QTc interval duration is very different between these groups. These results may reflect very different arrhythmogenic mechanisms involved in the triggering of TdPs.

Figure 3
Scatterplots of T-wave roundness versus QTcF values on beat-to-beat basis just prior to the occurrence of TdPs for the five patients with TdPs (lLQTS and dLQTS, 1 hour prior to event) and for the three individuals on sotalol (-TdP, 2 hours prior to max ...

4. Discussion

We present an evaluation of the static and dynamic features of the repolarization segment from the surface ECGs of small groups of individuals who do and do not develop TdPs. An increased VPC frequencies and QTc variability were identified within the 10-minute interval prior to the onset of TdPs in both drug-induced and inherited LQTS patients. The QTc interval prolongations were present in all patients developing TdPs. Yet, the drug-induced QTc prolongation was not different between patients who do or do not develop TdPs on dlsotalol.

The American Heart Association, the American Critical-Care Nurses and the International Society for Computerized Electrocardiography have highlighted the need for monitoring in-hospital patients with a risk for drug-induced QT prolongation and TdPs [11]. The authors note that QTc interval prolongation alone may not be sufficient to predict the occurrence of TdPs but repolarization heterogeneity of repolarization may also be necessary to produce the arrhythmogenic response. These article statements are consistent with our observations.

Furthermore, Drew et al. emphasise that there is a need to better monitoring patients for TdPs and today we lack information about drug-induced TdPs in clinical settings and in any environments where cardiac safety needs to be evaluated (home monitoring). Based on our observations, we believe that the use of continuous monitoring of ECGs for the risk of TdPs should not be limited to report QTc interval duration but should be complemented by ECG-based measures of repolarization heterogeneity.

Acknowledgements

This work was supported by the National Heart, Lung, and Blood Institute of the U.S. Department of Healthy and Human Services grant # U24HL096556.

References

1. Locati EH, Maison-Blanche P, Dejode P, Cauchemez B, Coumel P. Spontaneous sequences of onset of torsade de pointes in patients with acquired prolonged repolarization: quantitative analysis of Holter recordings. J Am Coll Cardiol. 1995;25(7):1564–1575. [PubMed]
2. Topilski I, Rogowski O, Rosso R, Justo D, Copperman Y, Glikson M, Belhassen B, Hochenberg M, Viskin S. The morphology of the QT interval predicts torsade de pointes during acquired bradyarrhythmias. J Am Coll Cardiol. 2007;49(3):320–328. [PubMed]
3. Antzelevitch C, Sun ZQ, Zhang ZQ, Yan GX. Cellular and ionic mechanisms underlying erythromycin-induced long QT intervals and torsade de pointes. J Am Coll Cardiol. 1996;28(7):1836–1848. [PubMed]
4. Antzelevitch C, Sicouri S. Clinical relevance of cardiac arrhythmias generated by afterdepolarizations. Role of M cells in the generation of U waves, triggered activity and torsade de pointes. J Am Coll Cardiol. 1994;23(1):259–277. [PubMed]
5. Roden DM. A practical approach to torsade de pointes. Clin Cardiol. 1997;20(3):285–290. [PubMed]
6. Shah RR, Hondeghem LM. Refining detection of drug-induced proarrhythmia: QT interval and TRIaD. Heart Rhythm. 2005;2(7):758–772. [PubMed]
7. Hondeghem LM. TRIad: foundation for proarrhythmia (triangulation, reverse use dependence and instability) Novartis. Found. Symp. 2005;266:235–244. [PubMed]
8. Couderc JP. The Telemetric and Holter ECG Warehouse Initiative (THEW): a Data Repository for the Design, Implementation and Validation of ECG-related Technologies. Conf. Proc. IEEE Eng Med. Biol. Soc. 2010:6252–6255. 978-1-4244-4124. [PMC free article] [PubMed]
9. Sarapa N, Morganroth J, Couderc JP, Francom SF, Darpo B, Fleishaker JC, McEnroe JD, Chen WT, Zareba W, Moss AJ. Electrocardiographic identification of drug-induced QT prolongation: assessment by different recording and measurement methods. Ann. Noninvasive. Electrocardiol. 2004;9(1):48–57. [PubMed]
10. Badilin F. The ISHNE Holter standard output format. Ann. Noninvasive. Electrocardiol. 1998;3(3):263–266.
11. Drew BJ, Ackerman MJ, Funk M, Gibler WB, Kligfield P, Menon V, Philippides GJ, Roden DM, Zareba W. “Prevention of torsade de pointes in hospital settings: a scientific statement from the American Heart Association and the American College of Cardiology Foundation. Circulation. 2010;121(8):1047–1060. [PMC free article] [PubMed]