Long-term prognostic value of time domain analysis of signal-averaged electrocardiography in idiopathic dilated cardiomyopathy

The aim of this study was to evaluate the long-term prognostic value of signal-averaged electrocardiography (SAECG) in idiopathic dilated cardiomyopathy (IDC). Time domain analysis of SAECG was assessed in 131 patients with angiographically confirmed IDC (age 52+/-12 years; 108 men; left ventricular ejection fraction 33+/-12%) using specific criteria in 44 patients with bundle branch block. Late potentials (LP) on SAECG were present in 27% of the patients. Patients with LP had a similar left ventricular ejection fraction and a similar left ventricular end-diastolic diameter than patients with a normal SAECG. With a follow-up of 54+/-41 months, 24 patients suffered cardiac death and 19 had major arrhythmic events (sudden death, resuscitated ventricular fibrillation, or sustained ventricular tachycardia). Patients with LP had an increased risk of all-cause cardiac death (RR 3.3, 95% confidence interval 1.5 to 7.5, p = 0.004) and of arrhythmic events (RR 7.2, 95% confidence interval 2.6 to 19.4, p = 0.0001). Using multivariate analysis, only LP on SAECG (p = 0.001), reduced SD of all normal-to-normal intervals (SDNN) (p = 0.002), increased pulmonary capillary wedge pressure (p = 0.005), and history of sustained ventricular tachyarrhythmia (p = 0.02) predicted cardiac death. A history of previous sustained ventricular tachyarrhythmia (p = 0.0001), reduced SDNN (p = 0.003), and LP on SAECG (p = 0.006) were the only independent predictors of major arrhythmic events. Results were not altered when considering separately patients with or without bundle branch block, or after exclusion of patients with a history of sustained ventricular tachyarrhythmia. This study is one of the first to suggest that LP on SAECG is an independent predictor of all-cause cardiac death and is of high interest for arrhythmia risk stratification in IDC.     

Predicting arrhythmic events after acute myocardial infarction using the signal-averaged electrocardiogram.

To determine if the signal-averaged (SA) electrocardiogram (ECG) predicts the occurrence of sustained ventricular arrhythmia and sudden death after acute myocardial infarction, 182 consecutive patients underwent systematic noninvasive testing, including the SAECG. Seventy-one patients (39%) had an abnormal SAECG. The presence of an abnormal SAECG was not related to underlying left ventricular dysfunction or any other clinical or measured variable. There were 16 end points (sustained ventricular arrhythmia or sudden cardiac death) during 14-month follow-up. The SAECG was a significant predictor of these events (p less than 0.02), and an abnormal SAECG conferred a 2.7-fold increase in risk. The risk associated with an abnormal SAECG was independent of both left ventricular function and ventricular arrhythmia on Holter ECG. The SAECG had excellent negative predictive accuracy (95%), but the positive predictive accuracy was low (15%). When the results of the SAECG were combined with the results of the Holter ECG, a group of very high-risk patients was identified; at 18 months, the presence of abnormal SAECG and Holter ECG was associated with a risk of 26% compared with only 4% if both tests were normal. Furthermore, all published studies with a similar design were pooled for meta-analysis. The meta-analysis revealed a sixfold increase in risk, independent of left ventricular function, and an eightfold increase in risk, independent of Holter results when the SAECG was abnormal. The SAECG is a noninvasive test that can rapidly and easily provide potent prognostic information regarding the risk of sustained ventricular arrhythmias for patients after myocardial infarction.     

Prediction of sudden cardiac death after myocardial infarction in the beta-blocking era

OBJECTIVES: This study assessed the predictive power of arrhythmia risk markers after an acute myocardial infarction (AMI). BACKGROUND: Several risk variables have been suggested to predict the occurrence of sudden cardiac death (SCD), but the utility of these variables has not been well established among patients using medical therapy according to contemporary guidelines. METHODS: A consecutive series of 700 patients with AMI was studied. The end points were total mortality, SCD, and nonsudden cardiac death (non-SCD). Nonsustained ventricular tachycardia (nsVT), ejection fraction (EF), heart rate variability, baroreflex sensitivity, signal-averaged electrocardiogram (SAECG), QT dispersion, and QRS duration were analyzed (n = 675). Beta-blocking therapy was used by 97% of the patients at discharge and by 95% at one and two years after AMI. RESULTS: During a mean (+/-SD) follow-up of 43 +/- 15 months, 37 non-SCDs (5.5%) and 22 SCDs (3.2%) occurred. All arrhythmia risk variables differed between the survivors and those with non-SCD (e.g., the standard deviation of N-N intervals was 98 +/- 32 vs. 74 +/- 21 ms [p < 0.001] and the QRS duration was 103 +/- 22 vs.89 +/- 16 ms [p < 0.001]). Sudden cardiac death was weakly predicted only by reduced EF (<0.40; p < 0.05), nsVT (p < 0.05), and abnormal SAECG (p < 0.05), but not by autonomic markers or standard ECG variables. The positive predictive accuracy of EF, nsVT, and abnormal SAECG as predictors of SCD was relatively low (8%, 12%, and 13%, respectively). CONCLUSIONS: The common arrhythmia risk variables, particularly the autonomic and standard ECG markers, have limited predictive power in identifying patients at risk of SCD after AMI in the beta-blocking era.     

Differences in electrophysiological substrate in patients with coronary artery disease and cardiac arrest or ventricular tachycardia. Insights from endocardial mapping and signal-averaged electrocardiography

BACKGROUND. Many studies have combined patients with hemodynamically well-tolerated ventricular tachycardia (VT) and those with cardiac arrest (CA) as a single, homogenous group. Recent studies suggest that these two groups have different electrophysiological substrates and responses to therapy. Most of these studies, however, enrolled patients with a variety of cardiac diagnoses. METHODS AND RESULTS. We used signal-averaged electrocardiography (SAECG) and endocardial catheter mapping to define the electrophysiological substrate in patients with coronary artery disease and VT or CA and correlate the results of the two methods. We also examined the usefulness of SAECG in CA patients to differentiate those with inducible arrhythmias from those who are noninducible. VT patients were more likely to have had a prior myocardial infarction (p = 0.0005) and to have inducible arrhythmias (p = 0.0001) than were CA patients. The induced arrhythmias in patients who presented with VT was VT in more than 90% of cases, whereas in CA patients, polymorphic ventricular tachycardia (PMVT) accounted for one third of induced arrhythmias. Mean filtered QRS duration was longer (135 versus 120 msec) and the terminal QRS voltage was smaller (20 versus 34 microV) in VT than in CA patients (p less than 0.01). Sixty-three percent of CA patients and 87% of VT patients had abnormal SAECG (p = 0.001). VT patients had more extensive endocardial abnormalities and more abnormal (53% versus 40%, p = 0.002), fractionated (8% versus 3%, p = 0.02), late (17% versus 8%, p = 0.0003), and late abnormal or fractionated (14% versus 4%, p = 0.0001) sites than CA patients. VT patients had a greater duration of the longest electrogram (129 versus 109 msec, p = 0.0006) and total endocardial activation time (68 versus 54 msec, p = 0.009). Among CA patients, those with induced VT had more extensive substrate than did those with induced PMVT and were similar to VT patients with induced VT. Among CA patients, the trend for more patients with inducible VT (77%) or PMVT (55%) than noninducible patients (47%) to have an abnormal SAECG did not reach statistical significance (p = 0.14). The positive and negative predictive values of an abnormal SAECG were 77% and 44%, respectively. CONCLUSIONS. VT patients have more extensive endocardial substrate than CA patients, which translates into greater and more frequent SAECG abnormalities. Among CA patients, there are significant differences in substrate between patients with induced VT and those with induced PMVT. SAECG is not useful in differentiating CA patients who have inducible VT or PMVT from those who do not.     

Relation between myocardial viability and abnormalities on the signal-averaged electrocardiogram in patients with low (<40%) ejection fraction and coronary artery disease

To determine a possible mechanism for the previously observed improved outcome after bypass surgery in patients with poor ventricular function and viable myocardium, we sought to examine the relation between the extent of viability and the frequency of an abnormal signal-averaged electrocardiogram (SAECG) in patients with reduced ejection fraction and coronary artery disease. Fifty-two patients with coronary disease and ventricular dysfunction underwent quantitative redistribution thallium-201 (Tl-201) scintigraphy at rest to determine the extent of viability. The presence of late potentials was assessed by SAECG. Long-term, cardiac event-free survival was determined. Patients with greater viability (group 1, n = 23) were similar to patients with less viability (group 2, n = 29) with respect to age, gender, ejection fraction, and incidence of arrhythmia. Fewer group 1 patients had late potentials (33% vs. 65%, p = 0.05) and individual parameters were significantly more abnormal in the group 2 patients. Patients with late potentials had less viability than patients without late potentials (viability index 0.61+/-0.15 vs. 0.69+/-0.14, respectively, p = 0.05). By multivariate analysis, only the extent of viable myocardium and the left ventricular end-diastolic pressure were independent predictors of late potentials. Survival free of cardiac death or transplantation was better in patients with a normal SAECG (p<0.04) and in patients with predominantly viable myocardium (p<0.005). Thus, patients with low ejection fraction, coronary disease, and viable myocardium have a lower frequency of late potentials, suggesting reduced susceptibility to ventricular arrhythmia.     

Prognostic significance of the signal averaged electrocardiogram in patients with chronic stable coronary artery disease. Analysis in the time domain and by spectral temporal mapping

BACKGROUND: Ventricular late potentials detected by the signal averaged electrocardiogram (SAECG) have been used to predict cardiac death in patients after recent myocardial infarction. The goal of this study was to investigate the prognostic significance of the SAECG in a population of chronic coronary artery disease, with and without previous myocardial infarction. METHODS: SAECG was recorded in 698 patients with angiographically proven coronary artery disease and analyzed by time domain analysis (TDA) and by spectral temporal mapping (STM). Cardiac death or ventricular fibrillation (= cardiac event) were used as the primary endpoint for follow-up (25 to 33 months). RESULTS: A cardiac event occurred in 46 out of 698 patients (6.6%). An abnormal SAECG using TDA was found in 43% of patients with a cardiac event, as compared to 21.7% in those without (p<0.0005). The probability of a cardiac event during follow-up was 4.4% when TDA and STM were both normal, 9.5% and 10.2% when either STM or TDA were abnormal and 28.5% when both were abnormal. A duration of the averaged QRS complex of more than 120 ms and a left ventricular ejection fraction of less than 45% were the only independent predictors of a cardiac event. Logistic regression analysis could predict a cardiac event with a sensitivity of 54% and a specificity of 88%. CONCLUSIONS: In patients with chronic coronary artery disease the duration of the signal averaged QRS complex and left ventricular ejection fraction are independent predictors of cardiac death or ventricular fibrillation.     

Relationship between signal-averaged electrocardiography and dangerous ventricular arrhythmias in patients with left ventricular aneurysm after myocardial infarction.

We performed signal-averaged electrocardiography (SAECG) and Holter monitoring, and subsequently followed-up 53 ambulatory patients with left ventricular aneurysm (LVA) after myocardial infarction (MI). A history of spontaneous episodes of sustained ventricular tachycardia (VT) was also analysed. Out of 53 patients, 25 (47%) had an abnormal SAECG. Abnormal SAECG correctly identified nine out of 10 cases with a history of sustained VT. Complex ventricular arrhythmias were detected on Holter monitoring in 23 patients: in five out of 28 with normal SAECG (18%) and in 18 out of 25 with abnormal SAECG (72%) (P less than 0.001). During follow-up (mean 19 months) sustained VT and/or sudden cardiac death (SCD) occurred in eight cases, out of which seven had an abnormal SAECG. The negative predictive value of SAECG (no VT or SCD during follow-up) was very high, 96%, similar to the negative predictive value of a history of sustained VT (93%). Using multivariate analysis only a history of sustained VT was an independent factor in predicting the outcome of patients in this study. We conclude that an abnormal SAECG identifies those post infarction patients with LVA who are prone to complex ventricular arrhythmias. A normal SAECG and an absence of a history of sustained VT strongly indicate that the risk of developing arrhythmic events is very low.     

Comparison of time domain and spectral turbulence analysis of the signal-averaged electrocardiogram for the prediction of prognosis in idiopathic dilated cardiomyopathy

Background: Despite significant advances in the treatment of heart failure, the prognosis of patients with idiopathic dilated cardiomyopathy remains poor. Although several of prognostic variables have been shown to be useful in risk stratification of patients with idiopathic dilated cardiomyopathy, their predictive accuracy is low and clinical usefulness uncertain. Hypothesis: This study was undertaken to assess the signal-averaged electrocardiogram (SAECG) in patients with idiopathic dilated cardiomyopathy and to compare the ability of time domain and spectral turbulence analytic techniques to predict clinical outcome. Methods: SAECG analysis was performed in 80 patients with idiopathic dilated cardiomyopathy. Nineteen patients had left bundle-branch block and eight were taking low-dose ami-odarone for life-threatening arrhythmias. Conventional time domain and spectral turbulence analyses of the SAECG were performed using Del Mar 183 software. Results: During a follow-up of 27 ± 19 months, 24 patients developed progressive heart failure, while the others remained clinically stable. Late potentials were detected in 28% of patients and were equally frequent in patients with and without progressive heart failure (38 vs. 23%, p = 0.20). Spectral turbulence analysis was abnormal in 34% of patients, and patients with abnormal results developed progressive heart failure more frequently than those with normal results (50 vs. 17%, p = 0.01). All spectral turbulence analysis parameters were significantly different in patients with progressive heart failure compared with those who remained clinically stable (p≤0.01). Furthermore, progressive heart failure-free survival at 2 years was significantly lower in patients with abnormal compared with normal results (63 vs. 87%;p<0.05), but was similar in patients with and without late potentials (72 vs. 83%;p = 0.30). The relative risk for developing progressive heart failure using spectral turbulence analysis was 3.4 (95% confidence interval 1.2–9.7) and 2.8 (95% confidence interval 1.1–8.7) using time domain analysis. The sensitivity, specificity, and the positive and negative predictive accuracy for identifying patients who developed progressive heart failure were 50,83,50, and 83%, respectively, (p = 0.01) for spectral turbulence analysis, and 36,85,45 and 80%, respectively, (p = 0.09) for time domain analysis. Conclusion: Abnormalities in the SAECG of patients with idiopathic dilated cardiomyopathy are common and appear to provide a noninvasive marker for development of progressive heart failure.     

Relationship between signal-averaged electrocardiography and dangerous ventricular arrhythmias in patients with left ventricular aneurysm after myocardial infarction

We performed signal-averaged electrocardiography (SAECG) andHolter monitoring, and subsequently followed-up 53 ambulatorypatients with left ventricular aneurysm (LVA) after myocardialinfarction (MI). A history of spontaneous episodes of sustainedventricular tachycardia (VT) v also analysed. Out of 53 patients, 25 (47%) had an abnormal SAECG. AbnormalSAECG correctly identified nine out of 10 cases with a historyof sustained VT. Complex ventricular arrhythmias were detectedon Holler monitoring in 23 patients: in five out of 28 withnormal SAECG (18%) and in 18 out of 25 with abnormal SAECG (72%)(P<0001). During follow-up (mean 19 months) sustained VTand/or sudden cardiac death (SCD) occurred in eight cases, outof which seven had an abnormal SAECG. The negative predictivevalue of SAECG (no VT or SCD during follow-up) was very high,96%. similar to the negative predictive value of a history ofsustained VT (93%). Using multivariate analysis only a historyof sustained VT twas an independent factor in predicting theoutcome of patients in this study. We conclude that an abnormal SAECG identifies those post infarctionpatients with LVA who are prone to complex ventricular arrhvthmias.A normal SAECG and an absence of a history of sustained VT stronglyindicate that the risk of developing arrhythmic events is verylow.     

Diagnostic Utility of Signal‐Averaged Electrocardiography for Detection of Cardiac Sarcoidosis

Introduction: Cardiac sarcoidosis (CS) occurs in up to 25% of patients with pulmonary involvement. Early diagnosis is critical because sudden death from ventricular arrhythmias can be the initial presentation. We sought to evaluate the diagnostic utility of signal‐averaged ECG (SAECG) for detection of cardiac involvement of sarcoidosis. Methods: Subjects with biopsy proven sarcoidosis and symptoms suggestive of possible cardiac involvement were included in the cohort. Standard criteria for SAECG were used. Subjects were considered to have CS if they met criteria established by the Japanese Ministry of Health and Welfare modified to include cardiac MRI. Results: Of the 88 patients in the cohort 27 had evidence of CS independent of the SAECG results. The SAECG was abnormal in 14 of these 27 patients and 11 of the 61 of the subjects without cardiac involvement (P < 0.01). The sensitivity of SAECG detection of CS was 52% with a specificity of 82%. For the entire cohort, SAECG had a positive predictive value (PPV) of 0.56 and a negative predictive value (NPV) of 0.79. Within a subgroup of 67 patients with an unfiltered QRS duration of <100 ms, the specificity for diagnosing cardiac sarcoidosis improves to 100% with a reduced sensitivity of 36.8. Of the SAECG parameters, LAS40 was significantly associated with the diagnosis of cardiac sarcoidosis for the entire cohort (P < 0.01) and among the subgroup of patients with an unfiltered QRS duration of <100 ms (P < 0.01). Conclusions: SAECG is a useful screening tool in the evaluation of sarcoidosis for detection of cardiac involvement. Ann Noninvasive Electrocardiol 2011;16(1):70–76     

The value of time and frequency domain, and spectral temporal mapping analysis of the signal-averaged electrocardiogram in identification of patients with hypertrophic cardiomyopathy at increased risk of sudden death

Late potentials detected by the signal-averaged ECG (SAECG)identify post-infarction patients at risk from sustained ventriculartachycardia (VT) and sudden death. Hypertrophic cardiomyopathy(HCM) is also associated with increased risk of sudden death.In adults, episodes of non-sustained VT on ambulatory ECG monitoringare a marker of high risk patients. In children and adolescents,however, there is no reliable ECG marker, and clinical featureshave low predictive accuracy. The prognostic value of the SAECGin HCM has not been systematically evaluated. We examined the relation of detailed time domain, frequencydomain, and spectral temporal mapping analysis of the SAECGand clinical and echocardiographic features, and the resultsof 48 h ambulatory ECG monitoring in 121 consecutive patientswith HCM. Non-sustained VT on Holter monitoring was recordedin 27 (23%) patients. An abnormal time domain SAECG was presentin three (11%) patients with VT vs three (3%) without VT (ns).Of the SAECG variables, reduced (below 150 µ V) voltageof the initial 40 ms of the signal-averaged QRS complex wasthe best predictor for non- sustained VT (sensitivity: 95% specificity:74% ;positive predictive accuracy: 64%; negative predictiveaccuracy: 97%). Nine patients (of whom eight were 30 years ofage) experienced catastrophic events: three died suddenly andsix had been resuscitated from out-of-hospital ventricular fibrillation.None of them had an abnormal time domain SAECG. The frequencydomain analysis and spectral temporal mapping of the SAECG didnot improve the identification of patients with VT or patientswith catastrophic events. In conclusion, alterations of the initial portion of the signal-averagedQRS complex identified patients with HCM and non-sustained VT,but the SAECG was not useful in identifying young patients whosuffered cardiac arrest.     

Prediction of mortality in heart transplant recipients by stress technetium-99m tetrofosmin myocardial perfusion imaging

Cardiac allograft vasculopathy is a major cause of mortality in heart transplant recipients. The aim of this study was to assess the prognostic value of stress myocardial perfusion imaging in heart transplant recipients. We studied 166 patients (age 54 +/- 10 years, 140 men) by symptom-limited bicycle exercise or dobutamine (up to 40 microg/kg/min) stress myocardial perfusion imaging 7.4 +/- 2.5 years after heart transplantation. An intravenous dose of 370 MBq of technetium-99m tetrofosmin was injected at peak stress and 24 hours after the stress test. An abnormal test was defined as reversible or fixed perfusion defects. Perfusion abnormalities were detected in 55 patients (33%). During a median follow-up of 2.5 years, 54 deaths (33%) occurred, 16 of which were due to cardiac causes. The incidence of perfusion abnormalities was higher in patients with subsequent cardiac death than in patients without subsequent cardiac death (69% vs 29%, p = 0.01). In an incremental multivariate Cox analysis, cardiac death was not predicted by age, gender, duration of transplantation, number of rejection episodes, or cytomegalovirus infection. In the next step, stress test parameters were added. The peak rate-pressure product was the only significant predictor at this step (risk ratio 0.84, 95% confidence interval 0.73 to 0.97, chi-square 7.7, p = 0.006). In the final step, the presence of abnormal myocardial perfusion was an independent predictor of cardiac death (risk ratio 3.5, 95% confidence interval 1.6 to 11.7, chi-square 4.7, incremental to clinical and stress test variables, p = 0.01). It is concluded that stress myocardial perfusion imaging with technetium-99m tetrofosmin single-photon emission computed tomography provides incremental data for the prediction of cardiac death in heart transplant recipients.     

QT Dispersion as a Marker of Risk in Patients Awaiting Heart Transplantation

Objectives. The objectives of this study were to determine whether a signal-averaged electrocardiogram (SAECG) or measurement of interlead variability of QT intervals on an electrocardiogram (ECG) obtained at the time of wait-listing could provide prognostic value with respect to cardiac death during the waiting period.

Background. Because heart transplantation is a life-saving but limited resource, there remains an urgent need to identify those patients at greatest risk of dying while awaiting heart transplantation as part of the strategy to optimize the allocation of donor organs to those in greatest need. This study was undertaken to prospectively identify clinical, ECG or SAECG variables that might predict mortality during the waiting period.

Methods. Of 108 consecutive patients referred for heart transplant evaluation, 80 were placed on a waiting list, at which time a standard 12-lead ECG and a SAECG were recorded. In this cohort of 80 patients, QT dispersion was characterized from the 12-lead ECG as either the maximal–minimal QT interval (QTDISP) or as the coefficient of variation of all QT intervals (QTCV).

Results. During the 25-month follow-up period (mean time on waiting list, 201 days), the mortality rate was 27%/year, divided equally between heart failure and sudden deaths. No clinical variable identified at entry predicted mortality. QTDISP and QTCV were strong mortality predictors, with a 4.1-fold increase in mortality in patients with QTDISP >140 ms compared with those patients with QTDISP ≤140 ms (95% CI 1.1 to 14.9), whereas a QTCV ≥9% also predicted a 4.1-fold increased risk of death (95% CI 1.4 to 11.8). Although 88% of all SAECGs were abnormal, no patient with a normal SAECG died suddenly during the waiting period.

Conclusions. Indexes of QT dispersion provide a means of stratifying a patient’s risk of dying while awaiting heart transplantation and may help to establish priority on a heart transplant waiting list.

(J Am Coll Cardiol 1997;29:1576–84)     

A comparison of T-wave alternans, signal averaged electrocardiography and programmed ventricular stimulation for arrhythmia risk stratification

OBJECTIVES

The goal of this study was to compare T-wave alternans (TWA), signal-averaged electrocardiography (SAECG) and programmed ventricular stimulation (EPS) for arrhythmia risk stratification in patients undergoing electrophysiology study.

BACKGROUND

Accurate identification of patients at increased risk for sustained ventricular arrhythmias is critical to prevent sudden cardiac death. T-wave alternans is a heart rate dependent measure of repolarization that correlates with arrhythmia vulnerability in animal and human studies. Signal-averaged electrocardiography and EPS are more established tests used for risk stratification.

METHODS

This was a prospective, multicenter trial of 313 patients in sinus rhythm who were undergoing electrophysiologic study. T-wave alternans, assessed with bicycle ergometry, and SAECG were measured before EPS. The primary end point was sudden cardiac death, sustained ventricular tachycardia, ventricular fibrillation or appropriate implantable defibrillator (ICD) therapy, and the secondary end point was any of these arrhythmias or all-cause mortality.

RESULTS

Kaplan-Meier survival analysis of the primary end point showed that TWA predicted events with a relative risk of 10.9, EPS had a relative risk of 7.1 and SAECG had a relative risk of 4.5. The relative risks for the secondary end point were 13.9, 4.7 and 3.3, respectively (p < 0.05). Multivariate analysis of 11 clinical parameters identified only TWA and EPS as independent predictors of events. In the prespecified subgroup with known or suspected ventricular arrhythmias, TWA predicted primary end points with a relative risk of 6.1 and secondary end points with a relative risk of 8.0.

CONCLUSIONS

T-wave alternans is a strong independent predictor of spontaneous ventricular arrhythmias or death. It performed as well as programmed stimulation and better than SAECG in risk stratifying patients for life-threatening arrhythmias.     

Evidence of Altered Cardiac Electrophysiology Following Prolonged Androgenic Anabolic Steroid Use

The non-therapeutic use of androgenic anabolic steroids (AAS) is associated with sudden cardiac death. Despite this, there is no proposed mechanism by which this may occur. Signal-averaged ECG (SAECG) allows the assessment of cardiac electrical stability, reductions of which are a known risk factor for cardiac arrhythmias. The aim of the present study was to examine cardiac electrical stability using SAECG in a group (n = 15) of long-term AAS users (AAS use 21.3 ± 3.1 years) compared with a group (n = 15) of age-matched weight lifters (WL) and age-matched sedentary controls [C (n = 15)]. AS, WL and C underwent SAECG analysis at rest and following an acute bout of exercise to volitional exhaustion. SAECGs were analyzed using a 40 Hz filter and were averaged over 200 beats. Results indicate a non-significant trend for increased incidence of abnormal SAECG measures at rest in AS (P = 0.55). However, AS demonstrated a significantly higher incidence of abnormalities of SAECG following exercise than C or WL (P < 0.05). In conclusion, the higher incidence of abnormal SAECG measurements immediately post-exercise in the AAS group places them at a greater risk of sudden death. The present study provides a strong contraindication to the use of AAS.     

Prognostic value of dipyridamole thallium scintigraphy for evaluation of ischemic heart disease

Exercise testing alone or in combination with thallium scintigraphy has significant prognostic value. In contrast, dipyridamole thallium imaging is not dependent on patients achieving adequate levels of exercise, but no long-term prognostic studies have been reported. Accordingly, imaging results of 516 consecutive patients referred for dipyridamole thallium studies were correlated with subsequent cardiac events, death (n = 23) and myocardial infarction (n = 43) over a mean follow-up period of 21 months. Patients with a history of congestive heart failure, prior myocardial infarction, diabetes mellitus or abnormal scans were significantly more likely to have a cardiac event (p less than 0.03). With use of logistic regression analysis, an abnormal scan was an independent and significant predictor of subsequent myocardial infarction or cardiac death and increased the relative risk of any event more than threefold. The presence of redistribution on thallium scanning further increased the risk of a cardiac event. Survival analysis demonstrated a significant difference between patients with an abnormal or normal thallium scan over a 30 month period. In conclusion, dipyridamole thallium scintigraphy demonstrates prognostic value in a large unselected population and may be an adequate clinical alternative to physiologic exercise testing in the evaluation of coronary heart disease.     

Relationship between late potentials and the predischarge electrocardiographic pattern in patients with acute anterior wall myocardial infarction

Hypothesis: The presence of late potentials on the signalaveraged electrocardiogram (SAECG) identifies patients at high risk for development of ventricular tachyarrhythmias after myocardial infarction (MI). Methods: The electrocardiogram and left ventricular function in 65 patients recovering from a first acute anterior wall MI were analyzed. We compared the pattern of the ST segment (isoelectric or elevated) and of the T wave (positive or negative) with the SAECG using an orthogonal bipolar lead configuration (X, Y, Z) with bidirectional Butterworth filtering (Simson's method). Results: Abnormal SAECG was found in 17 (26%) patients; 11 of 18 patients with ST elevation had abnormal SAECG, and only 6 of 47 patients with isoelectric ST segment developed abnormal SAECG (p<0.0001, odds ratio = 10.74). Of 19 patients with positive T waves, 10 had abnormal SAECG, and abnormal SAECG was found in 7 of 46 patients with negative T waves (p<0.003, odds ratio = 5.27). When both parameters were considered together, 9 of 12 patients with ST elevation and positive T wave developed abnormal SAECG, and 35 of 40 patients with isoelectric ST and negative T wave had normal SAECG (p<0.0002). Left ventricular ejection fraction was similar in patients with abnormal SAECG (43 ± 14%) and normal SAECG (46 ± 11 %). Conclusion: These findings suggest that patients with anterior wall MI and a predischarge pattern of ST elevation and positive T wave have a higher incidence of abnormal SAECG and therefore may have a worse prognosis, especially related to the subsequent development of ventricular arrhythmias.     

Relation between myocyte disarray and outcome in hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HC) is associated with an increased risk of sudden cardiac death or death from heart failure. Little is known of the pathologic substrate for risk of premature death in this disease. We therefore set out to correlate the pathologic findings with the mode of death and risk profile in 75 patients with HC. Hearts with HC were obtained after death or transplantation. The clinical details were correlated with the macroscopic findings and the percent fibrosis, disarray, and small-vessel disease across 19 sections of each heart. Thirty-nine patients died suddenly, 28 had end-stage heart failure, and 8 died of other causes. Myocyte disarray correlated positively with evidence of ischemia (r = 0.5, p <0.0001), and was greater in patients who died before age 21 years (mean disarray 33% vs 18%, p <0.0001) and in those with an abnormal vascular response to exercise (mean disarray and 30% vs 19%, p = 0.04). Myocardial fibrosis was greater in patients who died in heart failure (mean percent fibrosis was 2.8% versus 0.9%, p = 0.003), and in patients with nonsustained ventricular tachycardia or a high risk fractionation study (4.9% vs 2.7%, p = 0.04, and 6.84% vs 2.8%, p = 0.03, respectively). In conclusion, young patients who die with HC have greater disarray than their older counterparts. In contrast, myocardial fibrosis is the substrate for premature deaths from heart failure and is associated with an increased risk of a primary ventricular arrhythmia.     

Usefulness of predischarge echocardiographic criteria in predicting complications following acute myocardial infarction

In 103 patients who recovered from an acute myocardial infarction (AMI) we evaluated the usefulness of predischarge clinical, routine laboratory and M-mode echocardiographic (echo) criteria in predicting cardiac complications during a period of 12-41 months (25.0 +/- 10.7 months) follow-up. The echo parameters evaluated were: left ventricular diastolic diameter, left ventricular percent fractional shortening and the mitral valve E point septal separation. The combination of these three echo criteria was defined as an echo-index, which was considered abnormal if at least two of the three single parameters were pathological. Congestive heart failure occurred in 35 (34%) patients, with significantly higher prevalence among those older than 65 years, with previous AMI and with predischarge findings of heart failure. However, the sensitivity of these clinical parameters was unsatisfactory (34-69%). The sensitivity, specificity and positive predictive value of the echo-index for future heart failure were 89, 88 and 80%, respectively. Chest pain prior to hospital discharge was the only criteria predicting high risk of reinfarction (p = 0.001). The risk of cardiac death was related to age older than 65 years (p = 0.03) and an abnormal echo-index (p = 0.01). The overall mortality rate was 13%, but only 6% among those with normal and 26% among those with pathologic echo-index. In conclusion, in patients who recovered from an AMI, a simple and easily measured echo-index was superior to most clinical and routine laboratory criteria in predicting future heart failure and cardiac death.     

Prognostic significance of post-exercise blood pressure response in patients with dilated cardiomyopathy

BACKGROUND AND OBJECTIVES: The occurrence of an abnormal cardiovascular response during exercise in patients with chronic heart failure is well known. Post-exercise blood pressure response is also useful in assessing the severity of heart failure and impaired exercise capacity. This study evaluated the prognostic significance of post-exercise blood pressure response in patients with dilated cardiomyopathy. METHODS: Thirty patients with dilated cardiomyopathy (left ventricular ejection fraction: 32 +/- 9%) were studied and the relationship between post-exercise blood pressure response and cardiac events (sudden death, heart failure death and readmission for heart failure) were evaluated. The post-exercise blood pressure response was defined as PBP3 (systolic blood pressure at 3 min after exercise divided by peak systolic blood pressure during exercise). RESULTS: Seven cardiac events (one sudden death, two deaths for heart failure and four readmissions from heart failure) were observed during the follow-up period (3.3 +/- 1.8 years). The PBP3 in patients with these cardiac events was higher than that in patients without cardiac events (0.95 +/- 0.09 vs 0.84 +/- 0.10, p < 0.05). The area under the curve for the receiver-operating characteristic curve with PBP3 used to predict the cardiovascular events was 0.79 (95% confidence interval: 0.62-0.97, p = 0.02). CONCLUSIONS: Post-exercise blood pressure response is a simple and useful predictor of adverse cardiac events in patients with dilated cardiomyopathy.