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J Am Coll Cardiol, 2005; 46:75-82, doi:10.1016/j.jacc.2005.03.059 © 2005 by the American College of Cardiology Foundation |


* Zena and Michael A. Wiener Cardiovascular Institute, Mount Sinai School of Medicine, New York, New York
Department of Medicine, Mount Sinai Medical Center, New York, New York
Department of Medicine, New York University Medical Center, New York, New York
Manuscript received January 30, 2005; revised manuscript received February 22, 2005, accepted March 22, 2005.
* Reprint requests and correspondence: Dr. Anil Gehi, Mount Sinai School of Medicine, One Gustave L. Levy Place, Box 1030, New York, New York 10029. (Email: anil.gehi{at}msnyuhealth.org).
| Abstract |
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BACKGROUND: Previous studies describing the use of MTWA as a predictor of ventricular tachyarrhythmic events have been limited by small sample sizes and disparate populations.
METHODS: Prospective studies of the predictive value of exercise-induced MTWA published between January 1990 and December 2004 were retrieved. Data from each article were abstracted independently by two authors using a standardized protocol. Summary estimates of the predictive value of MTWA were made using a random-effects model.
RESULTS: Data were accumulated from 19 studies (2,608 subjects) across a wide range of populations. Overall, the positive predictive value of MTWA for arrhythmic events was 19.3% at an average of 21 months follow-up (95% confidence interval [CI] 17.7% to 21.0%), the negative predictive value was 97.2% (95% CI 96.5% to 97.9%), and the univariate relative risk of an arrhythmic event was 3.77 (95% CI 2.39 to 5.95). There was no difference in predictive value between ischemic and nonischemic heart failure subgroups. The positive predictive value varied depending on the population of patients studied (p < 0.0001).
CONCLUSIONS: Microvolt T-wave alternans testing has significant value for the prediction of ventricular tachyarrhythmic events; however, there are significant limitations to its use. The predictive value of MTWA varies significantly depending on the population studied. Careful standardization is needed for what constitutes abnormal MTWA. The incremental prognostic value of MTWA when used with other methods of risk stratification is unclear.
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The assessment of microvolt T-wave alternans (MTWA) has been proposed as a method to detect abnormalities in ventricular repolarization that may predict the occurrence of ventricular reentrant arrhythmias (3). Electrical alternans is defined as beat-to-beat changes in the amplitude of the electrocardiogram (ECG) signal. The presence of alternans of the T-wave amplitude at a 0.5 cycle-per-beat periodicity defines T-wave alternans. Measurement of T-wave alternans at the microvolt level was first described by Adam et al. (4). The first clinical description of using MTWA to predict the occurrence of ventricular tachyarrhythmias was performed by Rosenbaum et al. (5). After this description, the methodology of MTWA assessment was standardized (6). With increasing heart rate achieved through atrial pacing, dobutamine, or exercise, sequential ECG cycles are aligned to their QRS complex, and the T-wave amplitude is measured. The beat-to-beat fluctuations in amplitude are spectrally analyzed using a fast Fourier transformation. The presence of significant MTWA is defined as an alternans voltage
1.9 µV at 0.5 cycles-per-beat with an alternans ratio
3. The absence of MTWA is defined as no evidence of alternans at 0.5 cycles-per-beat when the heart rate is sustained >105 beats/min or within 5 beats/min of maximum predicted heart rate for at least 1 min. Otherwise, MTWA is considered indeterminate. Whether or not an indeterminate MTWA assessment should be considered abnormal or excluded altogether remains a methodologic issue (7).
Since its initial description, a number of studies have described the use of MTWA as a predictor of the primary or secondary occurrence of ventricular arrhythmic events. These studies, however, have been limited by small sample sizes and disparate patient populations. We, therefore, performed this systematic review and meta-analysis of MTWA as a predictor of arrhythmic events to clarify the predictive accuracy and usefulness of MTWA for clinical practice.
| Methods |
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Studies were included if they met the following criteria: 1) were prospective cohort studies of >10 human subjects who underwent exercise-induced MTWA testing for the prediction of SCD or ventricular arrhythmias; 2) provided primary data on results of MTWA and of clinical outcomes, including SCD, cardiac death, ventricular arrhythmias, and/or implantable cardioverter-defibrillator (ICD) shock; 3) provided clear definition of normal or abnormal MTWA testing; and 4) had a follow-up time of six months or longer.
Two investigators (A.G. and R.S.) independently reviewed the titles and abstracts of these articles and excluded those that clearly did not meet the inclusion criteria. A consensus was reached on which articles should be completely reviewed for potential inclusion in this study.
Data abstraction. Two investigators (A.G. and R.S.) independently reviewed potential articles blinded to the author, journal, and institution. Data for each article were abstracted, including inclusion criteria, study design, patient characteristics (number, mean age, percent men, population of patients), selection criteria (including inclusion/exclusion criteria), details of MTWA assessment (including definition of abnormal test), end points of the study, average follow-up, raw data when provided, and reported findings, including positive predictive value (PPV) and negative predictive value (NPV), relative risk (RR), or hazard ratios of future cardiac events. Results were stratified by definition of abnormal MTWA (including or excluding indeterminate MTWA) when provided.
A quality analysis was performed based on the following assessment of the articles: 1) whether follow-up was complete for >90% of the cohort, 2) whether adjudication of outcomes was blinded to the results of MTWA testing, and 3) whether a multivariate analysis using other standard predictors of ventricular arrhythmic events performed was used. A study was considered at least of fair quality if it fulfilled the criteria for >90% follow-up. A study was considered good if one of the other two criteria was met.
Statistical analysis. The outcomes of each study were presented as PPV, NPV, and univariate RR with confidence intervals (CIs) of MTWA for the prediction of ventricular arrhythmic events at follow-up. Because of the inconsistent use of the definition of abnormal MTWA (including or excluding indeterminate MTWA), outcomes for each study were stratified by this definition. Studies that assessed MTWA and outcomes in different patient populations were presented individually for each patient population.
Summary estimates of the predictive value of ventricular arrhythmic events were made using the DerSimonian and Laird (8) meta-analytic statistical method, which is based on a random effects model. For consistency in the definition of abnormal MTWA, summary estimates were calculated defining abnormal MTWA excluding indeterminate MTWA tests, which was available for all the included studies. A sensitivity analysis based on the definition of an abnormal test (including or excluding indeterminate test as abnormal) was performed on the studies that provided these data to see whether this would affect the predictive value of the test. Subgroup summary estimates were calculated based on patient population (heart failure, ischemic heart failure, nonischemic heart failure, post-myocardial infarction [MI]), history of arrhythmic events (primary vs. secondary prevention), and quality of study (excluding fair quality studies).
A test for homogeneity using the Mantel-Haenszel (9) method was performed for all summary estimates to evaluate the uniformity of findings across studies. A p value <0.10 was considered statistically significant to reject the null hypothesis of the test of homogeneity. Publication bias was assessed using a funnel plot and the correlation coefficient, Kendalls tau, comparing sample size to RR (10).
| Results |
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The 19 prospective studies of MTWA (Table 1) included 2,608 subjects. The mean age of the study participants ranged from 25 to 64 years. The average follow-up was 21 months. The mean percentage of men ranged from 68 to 100. There was a wide range of subject populations, including congestive heart failure (CHF), ischemic CHF, non-ischemic CHF, post-MI, athletes, and healthy subjects. The mean EF of the study participants ranged from 23 to 71. Several of the studies included only subjects with a history of SCD, ventricular fibrillation (VF), and ventricular tachycardia (VT). Several of the studies included only subjects who were referred for an electrophysiologic study (indications included SCD, VF, VT, non-sustained VT, syncope, and palpitations).
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. In two studies, there were no events at follow-up such that an RR of events could not be calculated (23,32). All results presented exclude subjects with indeterminate MTWA tests.
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| Discussion |
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Bailey et al. (41), in a meta-analysis, studied the testing characteristics of several other methods of risk stratification for arrhythmic events, including EF, ambulatory ECG, heart rate variability, signal-averaged ECG, and electrophysiologic study. The predictive value of these methods varied with PPV, ranging from 13.3% to 25.8% at an average of two years of follow-up, NPV ranging from 94.52% to 96.12%, and univariate RR ranging from 2.9 to 6.6 with no particular test having exceptional predictive value compared with the others. We found MTWA to have similar testing characteristics to these previous methods of risk stratification, suggesting that MTWA should be considered at least equivalent in its prognostic value.
Clinically, accepting a 97% NPV, one could sufficiently classify a patient with absent MTWA as "low risk" for arrhythmic events. In our review, MTWA was absent in 25% to 54% of subjects, which was a substantial proportion of subjects. However, when deciding which patients should receive an internal ICD for primary prophylaxis, the PPV of arrhythmic events is more clinically relevant. Overall, the PPV for MTWA at 21 months follow-up was 19%. When we excluded the patients with a history of arrhythmic events who had a high enough pretest probability to warrant an ICD, the PPV for MTWA decreased to 15%. From this standpoint, MTWA seems no better than the 20% PPV of a low EF reported in the meta-analysis of Bailey et al. (41).
Bailey et al. (41) ultimately suggest that a combination of noninvasive risk stratification tests may be the most feasible strategy to risk stratify a large proportion of patients into high- and low-risk categories. As demonstrated in the studies we reviewed that performed a multivariate analysis (Table 5), MTWA adds incremental prognostic value to other commonly used method of risk stratification. However, the additional absolute prognostic value is not clear from present studies.
It must be emphasized that the predictive value of MTWA testing varies depending on the pretest probability for arrhythmic events of the population being studied (spectrum bias). This variation is demonstrated clearly when comparing the predictive value of MTWA testing among subjects post-MI, with CHF, or with a history of ventricular arrhythmias (Table 4, Fig. 3). The interpretation of results from MTWA testing in the individual patient must be integrated with the clinical history of that patient.
Inconsistency remains in current practice as to whether an indeterminate MTWA test should be considered abnormal or excluded altogether. Comparing the predictive value of abnormal MTWA in the eight studies (17,23,24,26,30,32,33,40), which provided outcomes based on the inclusion or exclusion of indeterminate MTWA, we found no significant difference in the predictive value of an abnormal test. Although statistically it seems that including an indeterminate MTWA test as abnormal does not change the predictive accuracy of the test, this does not necessarily indicate that an indeterminate MTWA test should be considered abnormal. Fundamentally, it seems erroneous to consider a test that is, for example, uninterpretable because of noise as clinically relevant. It remains important to develop and study alternative methods of assessing MTWA (e.g., dobutamine-induced) to risk stratify the patients who may have an indeterminate exercise-induced MTWA test (as many as 50% of patients in our review).
There are several strengths of this meta-analysis of MTWA. First, all of the studies were consistent in their definition of the presence, absence, or indeterminacy of significant T-wave alternans based on the current standard of T-wave alternans as developed by Rosenbaum et al. (6). The exception to this was the study of Tapanainen et al. (40), which introduced the concept of T-wave alternans testing incomplete. However, including or excluding the group of patients from this study with an incomplete MTWA test in our meta-analysis did not change the results of the sensitivity analysis. Second, all of the studies were consistent in the use of the CH2000 (Cambridge Heart Inc., Bedford, Massachusetts) device for exercise-induced MTWA testing. Finally, we assessed the value of MTWA testing in a wide variety of patient populations.
Study limitations. There are several limitations to this study. First, there were not sufficient data contained in the included multivariate analyses to determine the incremental prognostic value of MTWA independent of other predictors of arrhythmic events, such as EF, signal-averaged ECG, heart rate variability, or electrophysiologic study. Although MTWA seems clinically useful in this meta-analysis, the test may offer little additional predictive value beyond other commonly used clinical predictors. Second, the end points of the individual studies used in the summary calculations were variable (e.g., cardiac death vs. SCD/VT/VF vs. syncope/VT). It may be more clinically applicable for future studies of MTWA to use the end point of cardiac death, as was used in the study of Bloomfield et al. (33) and the study of signal-average ECG of Gomes et al. (42). Third, the subjects in the included studies were primarily men. For this reason, the results of this analysis may not be applicable to the general population. Fourth, there was inconsistency in the exclusion of subjects using beta-blockers or antiarrhythmic agents in the included studies. Because beta-blockers and antiarrhythmic agents can decrease the sensitivity of MTWA (4345), it is possible that this biased the results of our study. Finally, as with any meta-analysis, its quality is limited by the quality of the included studies. However, eliminating the studies considered to be of lower quality by our quality assessment did not affect the outcomes of our analysis.
Conclusions. We studied the use of MTWA as a predictor of arrhythmic events in a meta-analysis of more than 2,600 subjects. We found that the presence of MTWA predicted a nearly four-fold risk of an event compared with the absence of MTWA. The NPV of MTWA testing was 97%. However, the PPV of MTWA varied from 0% to 51%, depending on the population of subjects studied. Given the challenge of risk stratification for life-threatening arrhythmic events that faces todays cardiologist and the economic implications for todays society, our study helps understand the value and the limitations of MTWA testing. Further study of the combined predictive value of several methods of risk stratification including MTWA with adequate follow-up and appropriate end points is warranted.
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