Abstract
Torsades de pointes is a potentially lethal ventricular tachycardia which has been associated with QT interval prolongation. Although several sophisticated methods have been used in the assessment of proarrhythmic risk, the standard 12-lead surface electrocardiogram still represents the most common and familiar clinical tool. The risk of arrhythmias in several pathological conditions, as well as the torsadogenic potential of drugs, can be assessed noninvasively by the use of electrocardiographic markers. Even though the QT interval duration is the most well known, a few other more accurate markers, such as JT duration, QT dispersion and variability, Tpeak-to-Tend duration, T wave alternans, TRIaD, and beat-to-beat variability of repolarization, have gradually been introduced into clinical practice and have partly replaced or complemented the classic QT interval duration approach. All these electrocardiographic markers are mainly used for noninvasive risk stratification of torsades de pointes and sudden cardiac death in patients with arrhythmogenic syndromes, such as long QT and Brugada syndrome, and also for assessment of new drugs’ arrhythmogenic potency.
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Abbreviations
- AP:
-
Action potential
- APD:
-
Action potential duration
- Bpm:
-
Beats per minute
- BVR:
-
Beat-to-beat variability of repolarization
- CPVT:
-
Catecholaminergic polymorphic ventricular tachycardia
- ECG:
-
Electrocardiogram
- HR:
-
Heart rate
- ICD:
-
Implantable cardioverter defibrillator
- IKr:
-
Rapid component of delayed rectifier K+ current
- LQTS:
-
Long QT syndrome
- MTWA:
-
Microvolt T wave alternans
- QTd:
-
QT dispersion
- QTVI:
-
QT variability index
- SQTS:
-
Short QT syndrome
- STEMI:
-
Myocardial infarction with ST elevation
- STV:
-
Short-term variability
- TdP:
-
Torsades de pointes
- TDR:
-
Transmural dispersion of repolarization
- Tp-e:
-
Tpeak-to-Tend interval
- TRIaD:
-
Triangulation, reverse use dependence, instability, and dispersion of repolarization
- TWA:
-
T wave alternans
References
Antzelevitch C. T peak-Tend interval as an index of transmural dispersion of repolarization. Eur J Clin Invest. 2001;31:555–7.
Antzelevitch C. Role of transmural dispersion of repolarization in the genesis of drug-induced torsades de pointes. Heart Rhythm. 2005;2(2 Suppl):S9–15.
Antzelevitch C. Role of spatial dispersion of repolarization in inherited and acquired sudden cardiac death syndromes. Am J Physiol Heart Circ Physiol. 2007;293:H2024–38.
Antzelevitch C. Drug-induced spatial dispersion of repolarization. Cardiol J. 2008;15:100–21.
Antzelevitch C, Burashnikov A. Mechanisms of arrhythmogenesis. In: Podrid PJ, Kowey PR, editors. Cardiac arrhythmia: mechanisms, diagnosis, and management. 2nd ed. Philadelphia: Lippincott Williams & Wilkins; 2001. p. 65.
Antzelevitch C, Shimizu W, Yan GX, et al. Cellular basis for QT dispersion. J Electrocardiol. 1998;30(Suppl):168–75.
Balaji S, Ellenby M, McNames J, et al. Update on intensive care ECG and cardiac event monitoring. Card Electrophysiol Rev. 2002;6:190–5.
Bednar MM, Harrigan EP, Anziano RJ, et al. The QT interval. Prog Cardiovasc Dis. 2001;43(5 Suppl 1):1–45.
Berger RD. QT variability. J Electrocardiol. 2003;36(Suppl):83–7.
Berger RD. QT interval variability. Is it a measure of autonomic activity? J Am Coll Cardiol. 2009;54:851–2.
Bjerregaard P, Gussak I. Short QT syndrome. In: Gussak I, Antzelevitch C, Wilde AAM, Friedman PA, Ackerman MJ, Shen W, editors. Electrical diseases of the heart. Genetics, mechanisms, treatment, prevention. London: Springer-Verlag London Limited; 2008. p. 554–63.
Bluzaite I, Brazdzionyte J, Zaliūnas R, et al. QT dispersion and heart rate variability in sudden death risk stratification in patients with ischemic heart disease. Medicina (Kaunas). 2006;42:450–4.
Cutler MJ, Rosenbaum DS. Risk stratification for sudden cardiac death: is there a clinical role for T wave alternans? Heart Rhythm. 2009;6(8 Suppl):S56–61.
Dobson CP, Kim A, Haigney M. QT variability index. Prog Cardiovasc Dis. 2013;56:186–94.
Floré V, Willems R. T-wave alternans and beat-to-beat variability of repolarization: pathophysiological backgrounds and clinical relevance. Acta Cardiol. 2012;67:713–8.
Garcia EV, Pastore CA, Samesima N, et al. T-wave alternans: clinical performance, limitations and analysis methodologies. Arq Bras Cardiol. 2011;96:e53–61.
Garson Jr A. How to measure the QT interval – what is normal? Am J Cardiol. 1993;72:14B–6.
Gupta A, Lawrence AT, Krishnan K, et al. Current concepts in the mechanisms and management of drug-induced QT prolongation and torsade de pointes. Am Heart J. 2007;153:891–9.
Gupta P, Patel C, Patel H, Narayanaswamy S, Malhotra B, Green JT, Yan GX. T(p-e)/QT ratio as an index of arrhythmogenesis. J Electrocardiol. 2008;41:567–74.
Haugaa KH, Edvardsen T, Amlie JP. Prediction of life-threatening arrhythmias – still an unresolved problem. Cardiology. 2011;118:129–37.
Higham PD, Campbell RW. QT dispersion. Br Heart J. 1994;71:508–10.
Hlaing T, DiMino T, Kowey PR, et al. ECG repolarization waves: their genesis and clinical implications. Ann Noninvasive Electrocardiol. 2005;10:211–23.
Hoffmann P, Warner B. Are hERG channel inhibition and QT interval prolongation all there is in drug-induced torsadogenesis? A review of emerging trends. J Pharmacol Toxicol Methods. 2006;53:87–105.
Hondeghem LM. Thorough QT/QTc not so thorough: removes torsadogenic predictors from the T-wave, incriminates safe drugs, and misses profibrillatory drugs. J Cardiovasc Electrophysiol. 2006;17:337–40.
Hondeghem LM. Use and abuse of QT and TRIaD in cardiac safety research: importance of study design and conduct. Eur J Pharmacol. 2008;584:1–9.
Isbister GK, Page CB. Drug induced QT prolongation: the measurement and assessment of the QT interval in clinical practice. Br J Clin Pharmacol. 2013;76:48–57.
Issa Z, Miller JM, Zipes DP. Ventricular arrhythmias in inherited channelopathies. In: Issa Z, Miller JM, Zipes DP, editors. Clinical arrhythmology and electrophysiology: a companion to Braunwald’s heart disease. 2nd ed. Philadelphia: Elsevier-Saunders; 2012. p. 655–66.
Kittnar O, Lechmanová M. QT interval dispersion. Cesk Fysiol. 2001;50:125–33.
Krause U, Gravenhorst V, Kriebel T, et al. A rare association of long QT syndrome and syndactyly: Timothy syndrome (LQT 8). Clin Res Cardiol. 2011;100:1123–7.
Malik M, Batchvarov VN. Measurement, interpretation and clinical potential of QT dispersion. J Am Coll Cardiol. 2000;36:1749–66.
Merchant FM, Sayadi O, Moazzami K, et al. T-wave alternans as an arrhythmic risk stratifier: state of the art. Curr Cardiol Rep. 2013;15:398.
Moss AJ. Measurement of the QT interval and the risk associated with QTc interval prolongation: a review. Am J Cardiol. 1993;72:23B–5.
Narayan SM. T-wave alternans and the susceptibility to ventricular arrhythmias. J Am Coll Cardiol. 2006;47:269–81.
Niemeijer MN, van den Berg ME, Eijgelsheim M, et al. Short-term QT variability markers for the prediction of ventricular arrhythmias and sudden cardiac death: a systematic review. Heart. 2014. doi:10.1136/heartjnl-2014-305671 [Epub ahead of print].
Nieminen T, Verrier RL. Usefulness of T-wave alternans in sudden death risk stratification and guiding medical therapy. Ann Noninvasive Electrocardiol. 2010;15:276–88.
Oosterhoff P, Oros A, Vos MA. Beat-to-beat variability of repolarization: a new parameter to determine arrhythmic risk of an individual or identify proarrhythmic drugs. Anadolu Kardiyol Derg. 2007;7 Suppl 1:73–8.
Pickham D, Hasanien AA. Measurement and rate correction of the QT interval. AACN Adv Crit Care. 2013;24:90–6.
Salik J, Muskin PR. Consideration of the JT interval rather than the QT interval. Psychosomatics. 2013;54:502.
Sgarbossa EB, Wagner G. Electrocardiography; Normal electrocardiographic waveforms. In: Topol EJ, editor. Textbook of cardiovascular medicine. 3rd ed. Philadelphia: Lippincott Williams & Wilkins; 2007. p. 985.
Shah RR. Drug-induced QT, dispersion: does it predict the risk of torsade de pointes? J Electrocardiol. 2005;38:10–8.
Shah RR, Hondeghem LM. Refining detection of drug – induced proarrhythmia: QT interval and TRIaD. Heart Rhythm. 2005;2:758–72.
Spodick DH. Reduction of QT-interval imprecision and variance by measuring the JT interval. Am J Cardiol. 1992;70:103.
Sredniawa B, Musialik-Łydka A, Pasyk S. Measurement dispersion of the QT interval and its significance in different diseases. Pol Merkur Lekarski. 2001;11:52–5.
Staikou C, Chondrogiannis K, Mani A. Perioperative management of hereditary arrhythmogenic syndromes. Br J Anaesth. 2012;108:7307–44.
Staikou C, Stamelos M, Stavroulakis E. Impact of anaesthetic drugs and adjuvants on ECG markers of torsadogenicity. Br J Anaesth. 2014;112:217–30.
Surawicz B. Will QT, dispersion play a role in clinical decision-making? J Cardiovasc Electrophysiol. 1996;7:777–84.
Tereshchenko LG, Berger RD. Towards a better understanding of QT interval variability. Ther Adv Drug Saf. 2011;2:245–51.
Thomsen MB, Matz J, Volders PG, et al. Assessing the proarrhythmic potential of drugs: current status of models and surrogate parameters of torsades de pointes arrhythmias. Pharmacol Ther. 2006;112:150–70.
Varkevisser R, Wijers SC, van der Heyden MA, et al. Beat-to-beat variability of repolarization as a new biomarker for proarrhythmia in vivo. Heart Rhythm. 2012;9:1718–26.
Vecht R, Gatzoulis MA, Peters N. ECG in congenital heart disease. In: Vecht R, Gatzoulis MA, Peters N, editors. ECG diagnosis in clinical practice. 2nd ed. London: Springer-Verlag London Limited; 2009. p. 219.
Verrier RL, Malik M. Clinical applications of T-wave alternans assessed during exercise stress testing and ambulatory ECG monitoring. J Electrocardiol. 2013;46:585–90.
Verrier RL, Klingenheben T, Malik M, et al. Microvolt T-wave alternans physiological basis, methods of measurement, and clinical utility – consensus guideline by International Society for Holter and Noninvasive Electrocardiology. J Am Coll Cardiol. 2011;58:1309–24.
Yan GX, Lankipalli RS, Burke JF, et al. Ventricular repolarization components on the electrocardiogram: cellular basis and clinical significance. J Am Coll Cardiol. 2003;42:401–9.
Zhang X, Ma LL, Yao DK, et al. Prediction values of T wave alternans for sudden cardiac death in patients with chronic heart failure: a brief review. Congest Heart Fail. 2011;17:152–6.
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Definitions
- Brugada syndrome
-
It is an inherited cardiac channelopathy which follows an autosomal dominant mode of transmission. Patients with Brugada syndrome are at risk of sudden cardiac death due to polymorphic ventricular tachycardia and ventricular fibrillation.
- Catecholaminergic polymorphic ventricular tachycardia (CPVT)
-
It is an inherited cardiac disease following an autosomal dominant mode of transmission. It is associated with adrenergic-dependent ventricular tachyarrhythmias. Patients with CPTV are at risk of ventricular tachycardia, ventricular fibrillation, and sudden cardiac death.
- Long QT syndrome
-
It is a congenital or acquired arrhythmogenic disorder characterized by dysfunction of cardiac ion channels and prolongation of QT interval on the ECG. The congenital form is inherited via an autosomal dominant or recessive pattern. The syndrome is characterized by a high risk of torsades de pointes, ventricular fibrillation, and sudden cardiac death.
- New York Heart Association (NYHA) classification
-
A functional classification for the patients with heart disease. It includes four categories according to the severity of heart failure symptoms and consequent limitation in ordinary physical activity: Class I no symptoms or activity limitation, Class II mild symptoms/activity limitation, Class III marked symptoms/activity limitation, Class IV symptoms even at rest/severe activity limitation.
- Short QT syndrome
-
It is an inherited arrhythmogenic disease following an autosomal dominant mode of transmission. It is characterized by a short QT interval on the ECG, atrial or ventricular arrhythmias – such as ventricular tachycardia and fibrillation – and sudden cardiac death.
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Staikou, C., Stavroulakis, E. (2015). Electrocardiographic Markers of Torsadogenicity. In: Patel, V., Preedy, V. (eds) Biomarkers in Cardiovascular Disease. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7741-5_8-1
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DOI: https://doi.org/10.1007/978-94-007-7741-5_8-1
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