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T-wave alternans: clinical performance, limitations and analysis methodologies

Abstracts

Accurate recognition of individuals at higher immediate risk of sudden cardiac death (SCD) is still an open question. The fortuitous nature of acute cardiovascular events just does not seem to fit the well-known model of ventricular tachycardia/fibrillation induction in a static arrhythmogenic substrate by a synchronous trigger. On the mechanism of SCD, a dynamical electrical instability would better explain the rarity of the simultaneous association of a correct trigger and an appropriate cardiac substrate. Several studies have been conducted trying to measure this cardiac electrical instability (or any valid surrogate) in an ECG beat stream. Among the current possible candidates we can number QT prolongation, QT dispersion, late potentials, T-wave alternans (TWA), and heart rate turbulence. This article reviews the particular role of TWA in the current cardiac risk stratification scenario. TWA findings are still heterogeneous, ranging from very good to nearly null prognostic performance depending on the clinical population observed and clinical protocol in use. To fill the current gaps in the TWA base of knowledge, practitioners, and researchers should better explore the technical features of the several technologies available for TWA evaluation and pay greater attention to the fact that TWA values are responsive to several factors other than medications. Information about the cellular and subcellular mechanisms of TWA is outside the scope of this article, but the reader is referred to some of the good papers available on this topic whenever this extra information could help the understanding of the concepts and facts covered herein.

Arrhythmias, cardiac; death, sudden; defibrillators, implantable; United States; Estados Unidos


Reconhecer com precisão indivíduos com maior risco imediato de morte súbita cardíaca (MSC) ainda é uma questão em aberto. A natureza fortuita dos eventos cardiovasculares agudos não parece se adequar ao conhecido modelo de indução de taquicardia/fibrilação ventricular por um gatilho em sincronia a um substrato arritmogênico estático. Quanto ao mecanismo da MSC, uma instabilidade elétrica dinâmica explicaria melhor a raridade da associação simultânea de um gatilho certo a um substrato cardíaco apropriado. Diversos estudos tentaram medir essa instabilidade elétrica cardíaca (ou um equivalente válido) em uma sequência de batimentos cardíacos no ECG. Dentre os mecanismos possíveis podemos citar o prolongamento do QT, dispersão do QT, potenciais tardios, alternância de onda T ou T-wave alternans (TWA), e turbulência da frequência cardíaca. Este artigo se atém em particular ao papel da TWA no panorama atual da estratificação de risco cardíaco. Os achados sobre TWA ainda são heterogêneos, variando de um desempenho prognóstico muito bom até um quase nulo, dependendo da população clínica observada e protocolo clínico usado. Para preencher as atuais lacunas no conhecimento sobre TWA, profissionais médicos e pesquisadores devem explorar melhor as características técnicas das diversas tecnologias disponíveis para a avaliação de TWA e atentar ao fato de que os valores de TWA respondem a diversos outros fatores, além de medicamentos. Informações sobre mecanismos celulares e subcelulares da TWA estão fora do escopo deste artigo, mas são referenciados alguns dos principais trabalhos sobre este tópico, com o intuito de auxiliar no entendimento dos conceitos e fatos cobertos neste artigo.

Arritmias cardíacas; morte súbita; desfibriladores implantáveis; Estados Unidos


Reconocer con precisión individuos con mayor riesgo inmediato de muerte súbita cardíaca (MSC) aun es una cuestión en abierto. La naturaleza fortuita de los eventos cardiovasculares agudos no parece adecuarse al conocido modelo de inducción de taquicardia/fibrilación ventricular por un gatillo en sincronía con un substrato arritmogénico estático. En cuanto al mecanismo de la MSC, una inestabilidad eléctrica dinámica explicaría mejor la rareza de la asociación simultánea de un gatillo correcto a un substrato cardíaco apropiado. Diversos estudios trataron de medir esa inestabilidad eléctrica cardíaca (o un equivalente válido) en una secuencia de latidos cardíacos en el ECG. Entre los mecanismos posibles podemos citar la prolongación del QT, dispersión del QT, potenciales tardíos, alternancia de onda T o T-wave alternans (TWA), y turbulencia de la frecuencia cardíaca. Este artículo se atiene en particular al papel de la TWA en el panorama actual de la estratificación de riesgo cardíaco. Los hallazgos sobre TWA aun son heterogéneos, variando de un desempeño pronóstico muy bueno hasta uno casi nulo, dependiendo de la población clínica observada y protocolo clínico usado. Para llenar las actuales lagunas en el conocimiento sobre TWA, profesionales médicos e investigadores deben explotar mejor las características técnicas de las diversas tecnologías disponibles para la evaluación de TWA y estar atento al hecho de que los valores de TWA responden a otros diversos factores, además de medicamentos. Informaciones sobre mecanismos celulares y subcelulares de la TWA están fuera del objetivo de este artículo, pero son referenciados algunos de los principales trabajos sobre este tópico, con el propósito de auxiliar en la comprensión de los conceptos y hechos cubiertos en este artículo.

Arritmias cardíacas; muerte súbita; desfibriladores implantables


IServiço de Eletrocardiologia - Instituto do Coração (InCor) do Hospital das Clínicas - Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP

IIUniversidade de Brasília - Campus Gama, Brasília, DF - Brazil

Mailing address

ABSTRACT

Accurate recognition of individuals at higher immediate risk of sudden cardiac death (SCD) is still an open question. The fortuitous nature of acute cardiovascular events just does not seem to fit the well-known model of ventricular tachycardia/fibrillation induction in a static arrhythmogenic substrate by a synchronous trigger. On the mechanism of SCD, a dynamical electrical instability would better explain the rarity of the simultaneous association of a correct trigger and an appropriate cardiac substrate. Several studies have been conducted trying to measure this cardiac electrical instability (or any valid surrogate) in an ECG beat stream. Among the current possible candidates we can number QT prolongation, QT dispersion, late potentials, T-wave alternans (TWA), and heart rate turbulence. This article reviews the particular role of TWA in the current cardiac risk stratification scenario. TWA findings are still heterogeneous, ranging from very good to nearly null prognostic performance depending on the clinical population observed and clinical protocol in use. To fill the current gaps in the TWA base of knowledge, practitioners, and researchers should better explore the technical features of the several technologies available for TWA evaluation and pay greater attention to the fact that TWA values are responsive to several factors other than medications. Information about the cellular and subcellular mechanisms of TWA is outside the scope of this article, but the reader is referred to some of the good papers available on this topic whenever this extra information could help the understanding of the concepts and facts covered herein.

Keywords: Arrhythmias, cardiac/prevention & control; death, sudden/prevention & control; defibrillators, implantable; United States/epidemiology.

In general, most cases of sudden cardiac death (SCD) are related to coronary artery disease and dilated and hypertrophic non-ischemic cardiomyopathy1. Equally important are the cases of SCD reported in apparently healthy individuals. Between 1994 and 2003, in the United Kingdom, the autopsies of 453 individuals aged 15 to 81 years who died due to SDC were performed. Among this set, 269 (59.3%) of the hearts were macroscopically and microscopically normal2.

The precise identification of individuals at higher immediate risk of SCD remains an open question. Many factors (acquired or congenital; structural, functional or genetic ones) are related to an increase in the risk of SCD; however, when considered alone, they cannot identify individuals at maximum risk. Vigorous physical activity (6 METS or more) can potentially increase the risk of acute cardiovascular events; however, the rarity of exercise-related events gives a clear indication that an additional specific cardiac substrate is necessary, according to the joint statement of the American Heart Association and the American College of Sports Medicine3.

In other words, the apparently random nature of an acute cardiovascular event well exemplifies that the typical pathophysiological mechanism of the CSD does not seem to be a trigger in synchronism with a static arrhythmogenic substrate, so that a ventricular tachycardia (VT) or fibrillation can start. On the contrary, the electrical instability would be dynamic, which would explain the low probability of a specific trigger associated with an appropriate cardiac substrate4.

Hence, how can the dynamics of electrical instability be measured? During the last decades, several studies have been conducted trying to measure this cardiac electrical instability (or any valid surrogate) in an ECG beat stream. These studies, in general, used two main approaches: 1) to quantify how the measured variable would be associated to the tendency toward future arrhythmias and 2) to evaluate how fast the myocardium recovers after a small electrical arrhythmia (for instance, an extra-systole) and the consequences of this fact on a future prognosis. Such approaches are similar at first glance, but this conclusion is not real. Based on the usual vocabulary of clinical arrhythmias, in which primary and secondary prevention mean, respectively, prevention before and after a cardiovascular event, one could call the first "instability primary to arrhythmia" and the second "instability secondary to arrhythmia". Among the clinical measurements of primary instability, we can mention the QT prolongation, QT dispersion, Late Potentials and T-wave alternans (TWA). The Heart Rate Turbulence, on the other hand, would be a measurement of the secondary instability group.

This review will emphasize the role of TWA in the current scenario of cardiac risk stratification. Due to the abundant literature on the subject, this review will be divided in four sections. After defining and reporting a summarized history of TWA, the second section will report its prognostic performance in different populations. As the TWA is an examination that depends essentially on technology, the third section will make considerations on a crucial aspect for the clinical performance of TWA: the available technological approaches and its consequent options of analysis and limitations. The fourth section will explore other factors that can modulate the values and influence the TWA assessments.

Definition of TWA and summarized history

The so-called TWA is an oscillation in the regular amplitude in the ST-T portion of the ECG tracing that occurs with half of the heart rate. In other words, the alterations in the ST-T amplitude repeat at every two beats, so that a pattern of amplitude with even beats and another one with odd beats can be created. For didactic purposes, we can summarize the chronological history of TWA in three distinct phases: the transition of the focus of research, from macroscopic TWA to microscopic TWA; the impact of TWA in microvolts in protocols of risk stratification and health policies; and the establishment of a solid experimental basis for the current clinical discoveries on TWA.

The macroscopic TWA (visual) has been reported since the beginning of electrocardiography5, always associated with a poor prognosis and considered a rare finding, up to the first publication on the invisible (microscopic) TWA in 19806. Since then, several groups have studied TWA and each group has done so differently. A direct consequence of this fact was the review published in 2005, listing more than 10 different technologies for its assessment7; however, its results were even more restricted to specific segments of the cardiologic research community. The next step - when the TWA captured the attention of clinical cardiologists, in addition to cardiology researchers - took place in the beginning of the XXI century, with the publication of evidence that the TWA would be able to reduce the mean number of implantable cardioverter defibrillators (ICD) necessary to, in fact, save a life8.

At that time, the alternation in the duration of the action potential duration (APD-alternans) had also been intensely studied throughout the years. In 2002, evidence was obtained that the APD-alternans was the first link in a dictated progression of oscillation patterns of amplitude that were increasingly complex, up to a ventricular fibrillation (VF) during ischemia9 and also that atrial APD-alternans had been recorded, consistently, before the transition from one atrial flutter to an atrial fibrillation10. Additionally, it was discovered that the TWA and APD-alternans were associated to each other in experimental studies11, but until then, there had been no evidence that this association persisted, even in clinical contexts.

The third phase of the TWA research started with the solution of this clinical puzzle. First, it was demonstrated that patients with cardiomyopathy and inducible VT or a positive TWA test presented a more heterogeneous repolarization (in both the epicardium and the endocardium) than in those individuals without inducible VT or with a negative TWA test12. Later, the TWA was consistently associated to the endocardial and epicardial APD-alternans, so that a minimum number of sites with APD-alternans was always necessary for the TWA to be successfully measured on the body surface; however, the isolated APD-alternans were not always associated to TWA on the body surface13.

Currently, the TWA presents as a valid clinical surrogate of the APD-alternans, the latter being an important marker of cardiac electrical instability. The interested reader can refer to several publications on the mechanisms of the genesis of APD-alternans and its association with the arrhythmogenic cardiac substrate4,14-17. These experimental fundaments aggregate value to the stratification performance through TWA in different clinical populations, which is reviewed in the following section.

Twa and cardiac risk stratification

Coronary or ischemic heart diseases

The second Multicenter Automatic Defibrillator Implantation Trial - MADIT-2 -brought convincing evidence on a decrease in mortality with the use of the ICD. Its findings showed a global decrease of 31% in the risk of mortality in post-infarction patients with left ventricular ejection fraction (LVEF) < 30%, regardless of the fact whether the patients presented more advanced stages of the disease, thus defined through the NYHA functional class and level of urea nitrogen in the blood (decrease of 28-35%, regardless of the basal mortality risk in the subgroups)18. In 2003, the American Centers for Medicare and Medicaid Services - CMS - decided to cover the costs of the prophylactic treatment with ICD for patients of the MADIT-2 type and QRS duration > 120 ms. In 2005, the CMS decided to include all patients of the MADIT-2 type19, but the cost-benefit was still a matter of concern and there was a clear need for a better risk stratification20.

The evaluation of the TWA in 177 patients of the MADIT-2 type resulted in a better risk stratification performance than that of the QRS duration. Patients with a narrow QRS (QRS < 120 ms) were not free from the risk of sustained ventricular arrhythmias (SVT) during a two-year follow-up (mortality rate = 14%, similar to that of MADIT-2). On the other hand, the group of patients with normal TWA recorded only 2 deaths within the same period (actuarial mortality rate of 3.8%), whereas the set with abnormal TWA presented a hazard ratio (HR) of 4.8 (P = 0,012) for mortality due to all causes, adjusted for the duration of QRS. In MADIT-2, 18 ICD were necessary to save a life; however, when using the strategy of TWA examinations, only 7 ICD were necessary to save one life8.

A prospective cohort study encompassing 768 ischemic patients with LVEF < 35% and with no previous sustained VT (51% received ICD) gave strong evidence that the benefits of the ICD differed according to the level of the TWA, decreasing the mortality due to all causes (HR = 0.45, 95% CI = [0.27, 0.76], P = 0.003) in patients with non-negative TWA (positive or undetermined), but without decreasing the mortality in the group with negative TWA (HR = 0.85, 95% CI = [0.33, 2.20], P = 0.73). Moreover, it was also demonstrated that such findings were mostly due to the decrease in the arrhythmic mortality. Regarding the effectiveness of the ICD therapy, 9 ICD were necessary to save one life during a two-year period in patients with non-negative TWA; however, 76 ICD were necessary to save one life, during the same period of time, in the group with negative TWA21.

After acute myocardial infarction

Regarding the capacity to predict severe arrhythmic events, in the context of preserved cardiac function after acute myocardial infarction (AMI), a Japanese prospective study (n = 1,041; 79% men) observed that the TWA showed a prognostic performance that was similar to studies in populations post-AMI with decreased LVEF. The TWA tests were carried out at least 14 days post-AMI, with 169 (17%) positive, 747 (74%) negative and 87 (9%) undetermined tests, with a general sensitivity and negative predictive value of 81% and 99.6%, respectively; the multivariate analysis showed HR = 19.7 - 95% CI= (5.5-70.4), P < 0.0001 for arrhythmic events22.

The REFINE (Risk Estimation Following Infarction, Noninvasive Evaluation) study evaluated the prognostic performance of the autonomic tonus and/or cardiac electrical substrate evaluation in the identification of patients at higher cardiac risk soon after the AMI. In brief, no isolated parameter (TWA, heart rate turbulence, baroreflex sensitivity), in an assessment carried out 2 to 4 weeks (acute phase) after the AMI successfully predicted outcomes. The best diagnostic precision in the non-acute phase (10 to 14 weeks) after the AMI was obtained by combining the abnormal TWA and the HR turbulence, plus LVEF < 50%. This composite indicator correctly identified two thirds of all patients that suffered a heart attack, with a sensitivity of 55%, specificity of 86% and a negative predictive value of 90%. It is noteworthy the fact that the TWA measured during exercise-induced stress or in a Holter registry presented similar performance, although it had been assessed with a different technology in each case. In a multivariate analysis adjusted for age, sex, previous AMI and diabetes, the indicator comprising Holter assessment and TWA resulted in HR = 6.22 - 95% CI = (2.88 - 13.47), P < 0.001, and the combination with exercise TWA resulted in HR = 5.08 - 95% CI = (2.17 - 11.89), P < 0.00123.

Differently from the findings of the REFINE study, another study on the TWA assessment during the period of 7 to 30 days after the AMI (n = 119) resulted in 17 (14%) undetermined, 50 (42%) positive and 52 (44%) negative tests. During a follow-up period of 3 to 23 months, the TWA presented the best prognostic value among the indicators (TWA, late potentials, ejection fraction): 14 of the 15 patients with arrhythmic events presented positive TWA, with the best sensitivity and negative predictive value among all analyzed parameters (93% and 98%, respectively; relative hazard of 16.8, P = 0.006)24.

The TWA showed to be very efficient in risk stratification in post-AMI patients with LVEF < 30%, regardless of the stage of the disease. Therefore, as a non-invasive method, it can be an important tool in the assessment of patients with ischemic disease.

Apparently healthy individuals and general population

Adults

The prevalence of TWA was assessed at rest and during physical exertion in apparently healthy group (none received permanent medication) of 48 individuals (aged 21-53 years, 29 men). Functional and structural heart diseases were excluded through the clinical history and the ECG assessment at rest and during exertion, as well as a Doppler echocardiography. Transient TWA episodes were observed in 5 individuals (10.4%). Sustained TWA was observed in 2 individuals (4.2%); however, only one (2.1%) met all criteria for positivity and none of the 48 individuals developed morbidity due to arrhythmia during the follow-up period of 12-40-months25. A larger study (110 healthy individuals, aged 20-75 years, 76 men) was published in the same year and 5 individuals (5%) presented a positive, 98 (89%) presented a negative and 7 (6%) presented an undetermined TWA test. Once again, no morbidity or mortality due to arrhythmia was reported during the follow-up of 32 ± 15 months26.

Younger than 18

The TWA was assessed in 100 normal volunteers (8-17 years, with no history of heart disease, normal clinical examination and resting ECG). The excess noise hampered the adequate recording of data during exercise of 16 volunteers and the data at rest of other 24 volunteers; however, all other 76 volunteers had a negative TWA at rest. Nine volunteers (11% of the valid tests) presented sustained alternans, all of whom presented higher initial heart rates than the usual adult criteria: they varied from 120 to 158 bpm, whereas the usual threshold of initial HR is < 110 bpm27.

General population

A sub-study of the FINCAVAS (Finnish Cardiovascular Study) described the TWA assessment in a cohort of 1,037 patients (61.4% men, 58 ± 13 years), extracted from a general population, all referred to exercise stress test. The clinical indications for the exercise test included the diagnosis of coronary heart disease (46%), vulnerability to exercise-induced arrhythmia (18%), assessment of cardiac performance capacity (19%), treatment adequacy for coronary heart disease (24%), patient profile assessment before invasive surgery (13%) and evaluation after acute myocardial infarction (10%). The exercise-induced TWA, with a cutoff of 47 µV or 65 µV, was strongly predictive of SCD (RR = 2.9, P = 0.02 and RR = 7.4, P < 0.001, respectively), as well as of cardiovascular death (RR = 2.6, P = 0.01 and RR = 6.0, P < 0.001), yielding excellent negative predictive values, both close to 98%28.

Athletes

Amateur soccer players with and without mitral valve prolapse and sedentary individuals, paired by age (three groups of 20 individuals) presented no positive TWA tests when submitted to normal protocols of exercise-induced stress29. TWA assessment and electrophysiology studies (EPS) were also carried out in professional athletes from several sports, both healthy ones (n = 48) and those presenting important arrhythmias, although without arrhythmogenic pathologies (n = 52). None of the healthy athletes presented a positive test or any event during the mean follow-up of 36 months. On the other hand, 7 of the 52 (13.5%) of the athletes with arrhythmia had a positive TWA test, 5 of whom also presented a positive EPS result for VT and one a positive result for severe supraventricular tachycardia (the other refused to undergo the EPS). In the group of arrhythmic athletes, all 42 negative TWA tests were also accompanied by negative EPS results, except for one, who was specifically being treated with amiodarone. However, this individual with negative TWA/positive EPS did not present any event during the 25.3-month follow-up30.

A recent study in athletes with ventricular arrhythmia (n = 85, 61 men) emphasized the good correlation between the TWA and the EPS results in this population. Similar numbers have been described for positive TWA tests (15 in 85, 18%) with a lower frequency of negative TWA tests (57/85, 68%) and more undetermined tests (13/85, 14%). All athletes with a positive TWA test had a positive EPS result and all athletes with a negative TWA test had a negative EPS result. No correlation was observed between the undetermined TWA and EPS results. Regarding the occurrence of events, athletes with negative TWA tests did not present any event during a mean follow-up of 30 months; however, 5 individuals with positive TWA, as well as 2 individuals with undetermined TWA tests reported events that occurred during this period31.

TWA can become a good tool for risk stratification in normal individuals, but further studies are necessary, with samples of adequate sizes, to be able to count on reliable data concerning these populations.

Twa analytical methodologies

TWA is a type of examination that depends essentially on the used technology, as the typical oscillations of its amplitude (with a magnitude of a few 1/50 mm at a normal gain of 10 mm/mV) are beyond the physician's visual assessment. As mentioned before, there are several distinct methodologies to assess TWA. Thus, the choice of a methodology will have a direct impact on the measured values and the clinical limitations of the TWA, even if the different TWA algorithms present a similar clinical performance23,32. This section aims at summarizing the basic concepts, in addition to differentiating the characteristics and clinical limitations of the most relevant methodologies developed for the analysis of TWA. Therefore, we considered relevant only the two TWA analysis algorithms that are available commercially (spectral method and Modified Moving Average) and the most similar research methodologies (Complex Demodulation and Intrabeat average).

How is TWA measured? Recalling the definition of TWA, the basic concept is the frequency. When present, the TWA occurs always in the middle of the heart rate, or, in other words, at a frequency of 0.5 cycle per beat (cpb). Whenever we think about the automatic detection of TWA, this is the only available information, theoretically, as no one knows beforehand if it will be present or not, which part of the ST-T complex will show alternans or even what magnitude will the recorded alternans present. It is quite similar to turning on a stereo radio station in the car: we know the radio frequency that interests us, but we cannot predict whether there will be any relevant information in it, or just noise. Based on this distinctive characteristic of the TWA - fixed frequency - it seemed logical (or natural) the fact that the first forms of TWA analysis had been based on the tracking of this 0.5 cpb frequency. This approach is currently found in the spectral method (SM) and the complex demodulation (CM) method.

Spectral method (SM)

The SM measures T-wave fluctuations by computing differences point by point between 128 equidistant sites in the ST-T in a series of 128 consecutive aligned beats (disregarding the ectopic beats and those with noise)33. In other words, there are 128 tachograms similar to those used in the analysis of the HR variability. Subsequently, 128 frequency spectra are registered (thus the name of the method - SM) and their mean is calculated. The TWA value is then assessed at the frequency of 0.5 cpb (Figure 1). The adaptation of this technique for human patients was first published in 199434. Since then, it has been the most often used method of TWA analysis, presenting the largest range of use.


Complex demodulation (CD)

The CD method was presented at a later date than the SM36, as an alternative algorithm. Basically, this method evaluates only the energy at the area close to the alternans frequency of 0.5 cpb, instead of calculating the fluctuations along a broad frequency band, as the SM does.

As the field of research of TWA matured, a new family of algorithms appeared, all based on the comparison of beat patterns. This approach is currently found in the Modified Moving Average and the Intrabeat Average methods.

Modified moving average (MMA)

The MMA creates, resourcefully, two patterns (models) of beats based on any sequence of valid beats (with one pattern being associated only to the even beats and another to the odd beats). To elucidate each of the beat patterns, the iterative algorithm is as follows: the differences in amplitude between the current pattern (of even or odd beats) and the next valid beat (even or odd) are measured along several equidistant sites in the ST-T complex. Each one of these differences is divided in X equal parts (where X can be 8, 16, 32 or 64) and the contribution of the current valid beat to the update of the pattern-beat is then limited to 1/X (called updating factor or limiting fraction) of the differences between model and beat (Figure 2). Finally, the TWA values are made available every 15 seconds, as the difference between the two representative patterns (and continuously updated) of the even and odd beats37.


Intrabeat average (IBA)

The concept and the characteristics of the intrabeat average (IBA) are very similar to those presented in the MMA method. Its distinctive feature is the separation of the ST-T complex into three time intervals (T-initial to T-peak - which includes the ST segment; T-peak to T-final; T-initial to T-final) and the computation of distinct values of TWA for each one of them39-41.

Factors that modulate TWA

Physiological and pathophysiological alterations

Initial findings obtained in Holter studies affirmed that the magnitude of the TWA responded to circadian fluctuations and physiological alterations40,42,43. Multivariate analyses of 24-hour ambulatory ECG, recorded in patients from the database of the ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) trial, showed that the TWA levels > 75th percentile at 8 AM or at the maximum heart rate (around 47 µV) were related to higher chances of having a heart attack (documented VF) or arrhythmic death during the follow-up period (OR ranged from 4.2 to 7.9, depending on the lead [electrode] and the time period)38. Later, Stein et al44 noticed that, on average, the higher levels of TWA accompanied the circadian cycle of increase in the risk of sudden death in patients with heart failure. Moreover, it was observed that the TWA levels > 47 µV were associated with an increased risk of SCD.

On pathological processes that affect the magnitude of the TWA, Shusterman et al40 demonstrated an increase in the TWA magnitude preceding the spontaneous start of ventricular tachyarrhythmias (VTA). Holter records (n=59) with spontaneous VTA were selected from the database of the ESVEM (Electrophysiologic Study Versus Electrocardiographic Monitoring) clinical trial. Its results showed that the TWA magnitude increased continuously from the baseline to a peak of 25%, 10 minutes before the event. Researchers from the TOVA (Triggers of Ventricular Arrhythmias) study also verified the existence of significant TWA magnitude before the start of the arrhythmia, using electrograms45. Post-infarction temporal alterations in TWA during the first 6 months after the event have also been recorded, probably after ventricular remodeling post-acute myocardial infarction46. Eventually, the TWA at pathological levels was associated to the cardiac sympathetic denervation and accelerated sympathetic nervous activity in patients with dilated idiopathic cardiomyopathy during Iodine 123-labeled metaiodobenzylguanidine (123I-MIBG) assessment and echocardiogram47.

Other studies investigated the effects of acute mental stress (by recalling memories that triggered anger or by doing mental arithmetics) on the TWA. Kop et al43 concluded that this increases the TWA amplitude in patients with ICD, with documented coronary artery disease (n = 23) at lower heart rates than those in the exercise protocols currently used in the assessment of TWA43. Lampert et al48 not only recorded an increase in TWA due to mental stress in patients with ICD (n = 33), but also discovered that the TWA alterations were well correlated with alterations in HR, systolic blood pressure and catecholamine levels48, in line with previous evidence that the mental stress alters not only the cycle length, but also the VT cessation in patients with ICD without ischemia49.

Finally, some external influences can also affect the TWA. The spinal column stimulation (SCS) is currently used in patients with untreatable angina and it is being considered that this stimulation has an anti-arrhythmic effect on the arrhythmogenic substrate. The study of the TWA patterns to assess alterations in the arrhythmic substrate indicates that patients that originally presented high-amplitude positive TWA tests when the stimulator was off, experienced a decrease in the TWA values (although still presenting a positive TWA test) 2 hours after the SCS. Twenty-four hours after the SCS, all patients became TWA-negative. In this sample, all patients were being treated with beta-blockers and no alterations in the basal HR or atrioventricular conduction were observed in consecutive TWA tests. These findings suggest an effect of time-dependent remodeling on the arrhythmogenic substrate (evaluated by TWA), independent from the sympathetic removal50.

Another external influence - ICD shocks during normal defibrillation tests (n = 65) - acutely increased the TWA magnitude, mediated in part by sympathetic stimulation43. Moreover, further studies are necessary to demonstrate whether this increase in TWA can be associated to the most common mechanism of sudden death in patients with ICD51, i.e., the post-shock electromechanical dissociation that follows a treated VT/VF. On this subject, a key aspect to be considered is that problems in the calcium cell cycle - previously associated with the mechanical ventricular dysfunction - are strongly related to APD-alternans4,14,15,17.

Final considerations

The prognostic role of TWA in the clinical risk stratification is becoming increasingly clearer, but still comprises a few controversies. On the one hand, the currently available literature presents strong evidence of a good prognostic performance (notably, its negative predictive value) in specific clinical populations, such as ischemic heart disease, after AMI, non-ischemic cardiomyopathy. The TWA would also be equal to, or would have a better prognostic performance than EPS in other populations (for instance, athletes with arrhythmia). On the other hand, the clinical value of the TWA assessment has yet to be further investigated regarding many of its aspects, particularly: other clinical populations of relevance (for instance, Chagas' disease) must be studied; other study protocols (for instance, comparisons between TWA in Holter and exercise- or pharmacological stress-induced TWA) must be included; the technicalities of each methodology for TWA measurement must be considered correctly in the clinical protocols to be outlined.

The next steps in the creation of new protocols and uses, in the deeper exploration of the clinical possibilities of TWA or the "filling in the current gaps" in the TWA knowledge basis follow a direction: physicians and researchers must better explore the technological characteristics of the several available technologies to assess the TWA - each one with its own strong and weak points - aware of the fact that the obtained TWA values respond to several other factors rather than medications.

Potential Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Sources of Funding

There were no external funding sources for this study.

Study Association

This study is not associated with any post-graduation program.

References

  • 1. Rubart D, Zipes P. Mechanisms of sudden cardiac death. J Clin Invest 2005;115:2305-2315.
  • 2. Fabre A, Sheppard MN. Sudden adult death syndrome and other nonischaemic causes of sudden cardiac death. Heart 2006;92:316-320.
  • 3. Thompson PD, Franklin BA, Balady GJ, et al. Exercise and acute cardiovascular events: Placing the risks into perspective: A scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism and the Council on Clinical Cardiology - In collaboration with the American College of Sports Medicine. Circulation 2007;115:2358-2368.
  • 4. Weiss JN, Karma A, Shiferaw Y, et al. From pulsus to pulseless: The saga of cardiac alternans. Circ Res 2006;98:1244-1253.
  • 5. Hering HE. Experimentelle studien an saugetieren uber das elektrocardiogram. Zeitschrift fur experimentelle Pathologie und Therapie 1909;7:363-378.
  • 6. Adam DR, Akselrod S, Cohen RJ. Estimation of ventricular vulnerability to fibrillation through T-wave time series analysis. Comput Cardiol 1981;8:307-310.
  • 7. Martínez JP, Olmos S. Methodological principles of T wave alternans analysis: A unified framework. IEEE Trans Biom Eng 2005;52:599-613.
  • 8. Bloomfield DM, Steinman RC, Namerow PB, et al. Microvolt T-wave alternans distinguishes between patients likely and patients not likely to benefit from implanted cardiac defibrillator therapy: A solution to the multicenter automatic defibrillator implantation trial (MADIT) II conundrum. Circulation 2004;110:1885-1889.
  • 9. Nearing BD, Verrier RL. Progressive increases in complexity of T-wave oscillations herald ischemia-induced ventricular fibrillation. Circ Res 2002;91:727-732.
  • 10. Narayan SM, Bode F, Karasik PL, et al. Alternans of atrial action potentials during atrial flutter as a precursor to atrial fibrillation. Circulation 2002;106:1968-1973.
  • 11. Pastore JM, Girouard SD, Laurita KR, et al. Mechanism linking T-wave alternans to the genesis of cardiac fibrillation. Circulation 1999;99:1385-1394.
  • 12. Chauhan VS, Downar E, Nanthakumar K, et al. Increased ventricular repolarization heterogeneity in patients with ventricular arrhythmia vulnerability and cardiomyopathy: A human in vivo study. Am J Physiol Heart Circ Physiol 2006;290:79-86.
  • 13. Selvaraj RJ, Picton P, Nanthakumar K, et al. Endocardial and epicardial repolarization alternans in human cardiomyopathy evidence for spatiotemporal heterogeneity and correlation with body surface T-wave alternans. J Am Coll Cardiol 2007;49:338-346.
  • 14. Wilson LD, Wan X, Rosenbaum DS. Cellular alternans: A mechanism linking calcium cycling proteins to cardiac arrhythmogenesis. Ann N Y Acad Sci 2006;1080:216-234.
  • 15. Clusin WT. Mechanisms of calcium transient and action potential alternans in cardiac cells and tissues. Am J Physiol Heart Circ Physiol 2008;294:H1-H10.
  • 16. Fish JM, Antzelevitch C. Cellular mechanism and arrhythmogenic potential of T-wave alternans in the brugada syndrome. J Cardiovasc Electrophysiol 2008;19:301-308.
  • 17. Hayashi H, Shiferaw Y, Sato D, et al. Dynamic origin of spatially discordant alternans in cardiac tissue. Biophys J 2007;92:448-460.
  • 18. Zareba W, Piotrowicz K, McNitt S, et al. Implantable cardioverter-defibrillator efficacy in patients with heart failure and left ventricular dysfunction (from the MADIT II Population). Am J Cardiol 2005;95:1487-1491.
  • 19
    Centers for Medicare and Medicaid Services. NCD for implantable automatic defibrillators. Publication Number 100-3, Manual Section Number 20-4, Version 3, Implementation Date: Jan 27, 2005. Available at: http://www.cms.hhs.gov/mcd/viewncd.asp?ncdid=20.4&ncdversion=3&basket=ncd%3A20%2E4%3A3%3AImplantable+Automatic+Defibrillators Accessed March 13, 2007.
  • 20. Chan PS, Stein K, Chow T, et al. Cost-effectiveness of a microvolt T-wave alternans screening strategy for implantable cardioverter-defibrillator placement in the MADIT-II-eligible population. J Am Coll Cardiol 2006;48:112-121.
  • 21. Chow T, Kereiakes DJ, Bartone C, et al. Microvolt Twave alternans identifies patients with ischemic cardiomyopathy who benefit from implantable cardioverter defibrillator therapy. J Am Coll Cardiol 2007;49:50-58.
  • 22. Ikeda T, Yoshino H, Sugi K, et al. Predictive value of microvolt T-wave alternans for sudden cardiac death in patients with preserved cardiac function after acute myocardial infarction results of a collaborative cohort study. J Am Coll Cardiol 2006;48:2268-2274.
  • 23. Exner DV, Kavanagh KM, Slawnych MP, et al. Noninvasive risk assessment early after a myocardial infarction - the refine study. J Am Coll Cardiol 2007;50:2275-2284.
  • 24. Ikeda T, Sakata T, Takami M, et al. Combined assessment of T-wave alternans and late potentials used to predict arrhythmic events after myocardial infarction - a prospective study. J Am Coll Cardiol 2000;35:722-730.
  • 25. Weber S, Tillmanns H, Waldecker B. Prevalence of T wave alternans in healthy subjects. Pacing Clin Electrophysiol 2003;26[Pt.I]:49-52.
  • 26. Grimm W, Liedtke J, Muller H-H. Prevalence of potential noninvasive arrhythmia risk predictors in healthy, middleaged persons. Ann Noninv Electrocardiol 2003;8:37-46.
  • 27. Cheung MMH, Davis AM, Cohen RJ, et al. T wave alternans threshold in normal children. J Cardiovasc Electrophysiol 2001;12:424-427.
  • 28. Nieminen T, Lehtimaki T, Viik J, et al. T-wave alternans predicts mortality in a population undergoing a clinically indicated exercise test. Eur Heart J 2007;28:2332-2337.
  • 29. Koutlianos NA, Kouidi EJ, Metaxas TI, et al. Non-invasive cardiac electrophysiological indices in soccer players with mitral valve prolapse. Eur J Cardiovasc Prev Rehabil 2004;11:435-441.
  • 30. Furlanello F, Galanti G, Manetti P, et al. Microvolt Twave alternans as predictor of electrophysiological testing results in professional competitive athletes. Ann Noninv Electrocardiol 2004;9:201-206.
  • 31. Inama G, Pedrinazzi C, Durin O, et al. Microvolt T-wave alternans for risk stratification in athletes with ventricular arrhythmias: Correlation with programmed ventricular stimulation. Ann Noninv Electrocardiol 2008;13:14-21.
  • 32. Cox V, Patel M, Kim J, et al. Predicting arrhythmiafree survival using spectral and modified-moving average analyses of T-wave alternans. Pacin Clin Electrophysiol 2007;30:352-358.
  • 33. Smith JM, Clancy EA, Valeri CR, et al. Electrical alternans and cardiac electrical instability. Circulation 1988;77:110-121.
  • 34. Rosenbaum DS, Jackson LE, Smith JM, et al. Electrical alternans and vulnerability to ventricular arrhythmias. N Engl J Med 1994;330:235-241.4.
  • 35. Garcia E de V. T-wave alternans: reviewing the clinical performance, understanding limitations, characterizing methodologies. Ann Noninvasive Electrocardiol. 2008; 13 (4): 401-20.
  • 36. Nearing BD, Verrier RL. Personal computer system for tracking cardiac vulnerability by complex demodulation of the T wave. J Appl Physiol 1993;74:2606-2612.
  • 37. Nearing BD, Verrier RL. Modified moving average analysis of T-wave alternans to predict ventricular fibrillation with high accuracy. J Appl Physiol 2002;92:541-549.
  • 38. Verrier RL, Nearing BD, La Rovere MT, et al. Ambulatory electrocardiogram-based tracking of T-wave alternans in postmyocardial infarction patients to assess risk of cardiac arrest or arrhythmic death. J Cardiovasc Electrophysiol 2003;14:705-711.
  • 39. Shusterman V, Goldberg A. Tracking repolarization dynamics in real-life data. J Electrocardiol 2004;37:180-186.
  • 40. Shusterman V, Goldberg A, London B. Upsurge in T-wave alternans and nonalternating repolarization instability precedes spontaneous initiation of ventricular tachyarrhythmias in humans. Circulation 2006;113:2880-2887.
  • 41. Lampert R, Soufer R, McPherson CA, et al. Implantable cardioverter-defibrillator shocks increase T-wave alternans. J Cardiovasc Electrophysiol 2007;18:1-6.
  • 42. Verrier RL, Nearing BD, Kwaku KF. Noninvasive sudden death risk stratification by ambulatory ECG-based T-wave alternans analysis: Evidence and methodological guidelines. Ann Noninv Electrocardiol 2005;10:110-120.
  • 43. Kop WJ, Krantz DS, Nearing BD, et al. Effects of acute mental stress and exercise on T-wave alternans in patients with implantable cardioverter defibrillators and controls. Circulation 2004;109:1864-1869.
  • 44. Stein PK, Sanghavi D, Domitrovich PP, et al. Amubulatory ECG-based T-wave alternans predicts sudden cardiac death in high-risk post-MI patients with left ventricular dysfunction in the EPHESUS study. J Cardiovasc Electrophysiol 2008 Jun 12 [Epub ahead of print] doi: 10.1111/j.1540-8167.2008.01225.x.
  • 45. Armoundas AA, Albert CM, Cohen RJ, et al. Utility of implantable cardioverter defibrillators electrograms to estimate repolarization alternans preceding a tachyarrhythmic event. J Cardiovasc Electrophysiol 2004;15:594-597.
  • 46. Oliveira MM, Fiarresga A, Pelicano N, et al. Temporal variations in microvolt T-wave alternans testing after acute myocardial infarction. Ann Noninv Electrocardiol 2007;12:98-103.
  • 47. Harada M, Shimizu A, Murata M, et al. Relation between microvolt-level T-wave alternans and cardiac sympathetic nervous system abnormality using iodine-123 metaiodobenzylguanidine imaging in patients with idiopathic dilated cardiomyopathy. Am J Cardiol 2003;92:998- 1001.
  • 48. Lampert R, Shusterman V, Burg MM, et al. Effects of psychologic stress on repolarization and relationship to autonomic and hemodynamic factors. J Cardiovasc Electrophysiol 2005;16:372-377.
  • 49. Lampert R, Jain D, Burg MM, et al. Destabilizing effects of mental stress on ventricular arrhythmias in patients with implantable cardioverter-defibrillators. Circulation 2000;101:158-164.
  • 50. Ferrero P, Castagno D, Massa R, et al. Spinal cord stimulation affects T-wave alternans in patients with ischaemic cardiomyopathy: A pilot study. Europace 2008;10:506-508.
  • 51. Mitchell LB, Pineda EA, Titus JL, et al. Sudden death in patients with implantable cardioverter defibrillators - the importance of post-shock electromechanical dissociation. J Am Coll Cardiol 2002;39:1323-1328.
  • T-wave alternans: clinical performance, limitations and analysis methodologies

    Euler V. GarciaI, II; Carlos Alberto PastoreI; Nelson SamesimaI; Horácio G. Pereira FilhoI
  • Publication Dates

    • Publication in this collection
      25 Feb 2011
    • Date of issue
      Mar 2011

    History

    • Accepted
      18 Mar 2010
    • Reviewed
      29 May 2009
    • Received
      19 Mar 2009
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    E-mail: revista@cardiol.br