[A rest or arrest--asystolic episodes of 7 seconds in a 22-year-old athlete]. / 22-jähriger Sportler mit Sinusarrest und Pausen bis 7 Sekunden.

A 22-year-old athlete with nocturnal asymptomatic episodes of transient sinus arrest/sinoatrial block up to 7.3 s and recurrent inappropriate sinus tachycardias which had been incidentally found during Holter electrocardiography diagnostics is presented. In spite of extensive diagnostic work-up including invasive procedures like coronary angiography and electrophysiological study, no causal etiology was found. Based on the normal findings and the lack of symptoms, we decided not to implant a permanent pacemaker. After 14 months, the patient is still asymptomatic. Howerver, the 24-h Holter electrocardiography shows unchanged frequency of nocturnal transient sinus arrest episodes.

Pressure-guided nonsurgical myocardial reduction induced by small septal infarctions in hypertrophic obstructive cardiomyopathy.

OBJECTIVES: We sought to assess the safety and efficacy of pressure-guided nonsurgical myocardial reduction (NSMR) with the induction of small septal infarctions in patients with hypertrophic obstructive cardiomyopathy (HOCM). BACKGROUND: Nonsurgical myocardial reduction has been shown to decrease left ventricular outflow tract (LVOT) obstruction and to improve symptoms in patients with HOCM. Infarct sizes differ considerably among studies published so far. METHODS: In 50 patients, the LVOT gradient was invasively determined at the time of the intervention, four to six months (n = 49) and 12 to 18 months (n = 25) after NSMR. New York Heart Association functional class and quality of life were assessed by using a standard questionnaire. Exercise capacity was tested by spiro-ergometry. Left ventricular (LV) mass was determined by electron beam computed tomography. RESULTS: Small septal infarctions (mean creatine kinase value 413 +/- 193 U/l) resulted in a sustained decrease in LVOT gradients, from 80 +/- 33 to 18 +/- 17 mm Hg after four to six months (p < 0.001, n = 49) and to 17 +/- 15 mm Hg (p < 0.001, n = 25) after 12 to 18 months. Nonsurgical myocardial reduction was followed by a decrease in LV hypertrophy, which was associated with a sustained increase in exercise capacity, as well as improvement in quality of life. CONCLUSIONS: Pressure-guided NSMR inducing small septal infarctions was sufficient to result in a sustained decrease in LVOT obstruction and to improve symptoms. The incidence of complications, such as complete heart block with necessary permanent pacemaker implantation (<10%), seems to be diminished by minimizing the infarct size.

Frequency analysis of the electrocardiogram with maximum entropy method for identification of patients with sustained ventricular tachycardia.

Late potentials in the terminal phase of the QRS-complex during sinus rhythm have been proposed to identify a subgroup of patients with myocardial infarction at risk of ventricular tachycardia (VT). Frequency analysis of the ECG with Fourier transform (FFT) has been applied for detection of these microvolt level signals, but is limited by poor frequency resolution of short data segments and spectral leakage. We therefore developed frequency analysis using the maximum entropy method (MEM) based on an autoregressive (AR) model. Orthogonal electrocardiograms were recorded from the body surface of patients with and without VT, and healthy persons after low noise, high-gain amplification. Multiple 40 ms segments (time intervals 2 ms, AR-parameters tapered) were analyzed (spectrotemporal mapping): low-frequency components were eliminated by building difference spectra with optimal high order and fixed low order. The MEM-spectra revealed high frequency components (40-200 Hz) in the terminal phase of the QRS-complex and in the ST-section in 26/38 patients with VT, but only in 2/20 without VT and in 1/20 healthy persons (p less than 0.05). Unlike FFT, MEM allowed localization of late potentials by the analysis of short data segments. Thus, MEM offers promise for noninvasive identification of patients with sustained VT after myocardial infarction and detailed analysis of late potentials.

Analysis of beat-to-beat variability of frequency contents in the electrocardiogram using two-dimensional Fourier transforms.

Late potentials are very small signals (1-20 microV) in the surface ECG with high-frequency components, which are found in patients prone to sustained ventricular tachycardia. Evaluation of these signals requires either very sophisticated recording techniques for single-beat analysis or signal averaging. Signal averaging, however, might disregard information about risk stratification. Therefore, we developed the Single-Beat Spectral Variance (SBSV) based on two-dimensional (2-D) Fourier transform of 80 ms segments of 128 consecutive beats. This approach depicts the beat-to-beat variability of the frequency contents of these ECG segments. An index function enables an objective detection of late potentials. We investigated 35 patients after myocardial infarction and sustained ventricular tachycardia (Group 1), 50 patients after myocardial infarction without ventricular arrhythmias (Group 2) and ten healthy volunteers. SBSV classified 29 of 35 patients (83%) of Group 1 as pathologic, 14 of these 29 patients (48%) exclusively on the basis of marked Wenckebach-like conduction pattern. In Group 2, only five of 50 patients showed abnormal SBSV. In Group 3, we found no pathologic result. Thus, SBSV is a promising new method to investigate late potentials in patients after myocardial infarction. SBSV contains not only the results of frequency analysis after signal averaging, but also evaluates variable ECG components.

[Functional late potential analysis in the 24-hour electrocardiogram]. / Funktionelle Spätpotentialanalyse im 24-Stunden-Langzeit-EKG.

BACKGROUND: It has not been investigated, whether repeated late potential analysis within 24 hours provides the recognition of functional changes and could be superior to a single analysis. METHOD: Therefore we performed late potential analysis from the 24 hour Holter-ECG after validation of the method using a standard analysis system (Predictor((R))) and investigated, whether late potential appearance varied over the day and funtional changes were associated with ventricular arrhythmias. Holter tape recordings in 120 post-infarction patients were analyzed. 40 patients had venticular tachycardia (cylce length >230 ms) in the chronic phase after myocardial infarction (VT-group), 40 patients were resuscitated from ventricular fibrillation (VF-group) and 40 patients had no ventricular arrhythmias after myocardial infarction (ØVT/VF-group). The recordings were subdivided in 24 segments of 60min duration. In each segment late potentials in the time domain and the average RR-interval together with its standard deviation (SDNN) were determined. RESULTS: Investigation with the standard analysis system showed late potentials in 78% of the patients in the VT-group, in 30% in the VF-group and in 15% in the ØVT/VF-group. These late potentials were found analysing the Holter tape recordings in 70% of the VT-group, in 13% of the VF-group and in 5% of the ØVT/VF-group consistently in all 60min-segments. In 85% of the patients of the VF-group, compared to only 20% in the ØVT/VF-group at least in one 60min-segment within the 24hour period late potentials could be found. In patients in the VT-group, only transitory recognizable late potentials were detected predominantly during heart rate accelerations during day time and in phases of reduced heart rate variability. CONCLUSIONS: Repeated late potential analysis from Holter tape recordings allows the recognition of functional changes and could therefore improve noninvasive risk stratification, particularly of post-infarction patients to ventricular fibrillation.

[Anticoagulation--control of heart rate--cardioversion. Therpeutic algorithm in ventricular tachycardia]. / Antikoagulation--Kontrolle der Kammerfrequenz--Kardioversion. Therapiefahrplan bei Herzrasen.

The first therapeutic step in the emergency situation absolute tachyarrhythmia in underlying atrial fibrillation is the immediate initiation of anticoagulation treatment with heparin, followed by control of the ventricular frequency. Cardioversion promises success when: atrial fibrillation < 48 hours, transesophageal echocardiography excludes a thrombus, > 3 weeks effective anticoagulation, left ventricle < 50 mm, and atrial fibrillation not longer than one year. In the emergency situation electric cardioversion is to be preferred to drug-induced cardioversion. If the pumping function is reduced, amiodarone is a safe agent for rhythm stabilization. Care must be exercised with verapamil, digitalis and adenosine in irregular broad QRS complex tachycardia and suspected WPW syndrome.

Ischemia-induced changes of the signal-averaged electrocardiogram: experimental investigation during percutaneous transluminal coronary angioplasty balloon-occluded coronary artery.

INTRODUCTION: The influence of myocardial ischemia on the detection of an arrhythmogenic substrate with the signal-averaged ECG is unclear. METHODS AND RESULTS: In 80 patients with single vessel coronary artery disease and a critical stenosis of the left anterior descending vessel selected after coronary angiography in whom percutaneous transluminal coronary angioplasty (PTCA) was planned, we retrospectively investigated the signal-averaged ECGs in the time domain before, during, and after occlusion of the coronary artery by the PTCA balloon. Forty patients were resuscitated from ventricular fibrillation (VF group), and 40 patients had no ventricular arrhythmia (non-VF group). Late potentials were seen at rest in 26 of 40 patients in the VF group. During ischemia, the duration of the filtered QRS complex and the duration of low-amplitude signals < 40 microV increased significantly. In another 14 patients in the VF group, late potentials were observed only during ischemia. In 4 of 26 patients in the VF group without prior infarction but with severe ischemia present at rest, successful PTCA eliminated preexistent late potentials. In the non-VF group, one patient had late potentials present at rest. In two patients with prior infarction, late potentials were provokable only during transmural ischemia. CONCLUSION: Myocardial ischemia is able to modify detection of an arrhythmogenic substrate with the signal-averaged ECG.

[Variable late potentials in long-term ECG of the post-infarct patient at risk for ventricular fibrillation]. / Variable Spätpotentiale im Langzeit-EKG des von Kammerflimmern bedrohten Postinfarktpatienten.

BACKGROUND: Ventricular late potentials are found more readily in post-infarction patients who had sustained ventricular tachycardia than in those who survived ventricular fibrillation. Hypothetically, a daytime variability of late potentials might be responsible for this finding. METHOD: Therefore a conventional late potential analysis only performed once a day was compared to a late potential analysis in time and frequency domain repeatedly performed every hour in the Holter-ECG of 160 post-infarction patients (50 patients (= VT-group) with documented, sustained ventricular tachycardia (cycle-length > 230 ms), 50 patients (= VF-group) who survived, documented ventricular fibrillation and 60 patient, without ventricular arrhythmias (= O VT/VF-group)). RESULTS: The conventional analysis showed late potentials in time domain in 72% of the patients in the VT-group, in 40% of patients in the VF-group and in 20% of the patients in the O VT/VF-group. The Holter-ECG showed late potentials to be permanently present in frequency domain in 66% of the patients in the VT-group, in only 6% in the patients in the VF-group and in no patient in the O VT/VF-group. However, in at least one analysis we detected late potentials in 84% of patients of the VF-group, in 90% of patients in the VT-group and in 18% of patients in the O VT/VF-group. Transiently detectable late potentials in patients of the VF-group were predominantly seen at heart rate accelerations in the morning hours, ST-segment shifts or transitory decreased heart rate variability. CONCLUSIONS: Post-infarction patients with sustained ventricular tachycardia predominantly have constantly detectable late potentials over 24 hours. In these patients conventional late potential is successful for post-infarction risk stratification at any time of the day. However, in post-infarction patients who survived ventricular fibrillation, late potentials are found to be transitory and only detectable by Holter-ECG. Thus, late potential analysis performed in the Holter-ECG might improve post-infarction risk stratification in patients prone to sudden cardiac death.

Single-beat analysis of ventricular late potentials in the surface electrocardiogram using the spectrotemporal pattern recognition algorithm in patients with coronary artery disease.

AIMS: Post-infarction risk stratification can be ascertained from beat-to-beat variations in ventricular late potentials. However, gaining such information by conventional late potential analysis using signal averaging is still not possible. METHODS: We therefore developed the spectrotemporal pattern recognition algorithm in order to detect beat-to-beat variations in late potentials. Based on the spectrotemporal pattern recognition algorithm two-dimensional correlation function, the typical spectral pattern of late potentials can be identified in spectrotemporal maps of single beats, even in the presence of noise. RESULTS: Surface electrocardiograms of 385 patients after myocardial infarction (85 with documented sustained ventricular tachycardia (group 1), 100 with fast, polymorphic ventricular tachycardia (> 270 cycles.min-1) or primary ventricular fibrillation (group 2), 200 without ventricular arrhythmias (group 3) and 45 healthy volunteers (group 4), were analysed. The spectrotemporal pattern recognition algorithm detected late potentials in single beats in 89% of group 1 patients, in 79% of group 2, in 22% of group 3 and in 4% of normals. The spectrotemporal pattern recognition algorithm measured late potential frequency and extension of late potentials into the ST segment, which was significantly different between groups 1 and 2. Beat-to-beat variations in late potentials, with respect to frequency and extension into the ST segment, were markedly higher in patients with a history of primary ventricular fibrillation. CONCLUSION: Single-beat analysis using the spectrotemporal pattern recognition algorithm may improve risk stratification of patients after myocardial infarction, and provides information on patients prone to ventricular fibrillation.

Circadian variability of late potential analysis in Holter electrocardiograms.

Appearance of ventricular tachycardia, ventricular fibrillation, and sudden cardiac death has diurnal variations. We retrospectively studied, using digital Holter electrocardiogram, whether a time course in the appearance of late potentials may be associated with malignant ventricular arrhythmias. The 24-hour recordings in 200 patients after myocardial infarction (50 patients with documented, sustained, monomorphic and reproducibly inducible ventricular tachycardia (< 270/min) (group I), 50 patients resuscitated from ventricular fibrillation (group II), and 100 patients without ventricular arrhythmias (group III) were divided into 24 segments, 60 minutes each. Late potential analysis was performed using the Simson method in the time domain in each segment and compared to a conventional short-term registration. Late potential analysis in conventional short-term recordings during arbitrarily chosen daytimes revealed late potentials in 80% of patients in group I, 38% of patients in group II, and in 16% of patients without ventricular arrhythmias. In at least one 60-minute segment late potentials were found in group I in 92%, in group II in 88% (P < 0.05 vs conventional analysis), and in group III in 19%. Interestingly, in patients with a history of ventricular fibrillation late potentials appeared significantly more often during morning hours (6-12 AM: 82% vs 26% at 12 AM-6 PM, 30% at 6 PM-12 PM, and 42% at 12 PM-6 AM, P < 0.05), especially during phases with heart rate accelerations. Late potential analysis for risk stratification in conventional short-term recordings is feasible for patients prone to ventricular tachycardia, but patients prone to ventricular fibrillation would be more effectively stratified using 24-hour registrations with detection of circadian variations of late potential appearance.

Identification of ventricular late potentials in the surface electrocardiogram during atrial, atrioventricular sequential, or single-chamber ventricular pacing.

Sudden cardiac death occurs in up to 30% of patients with cardiac pacemakers, caused by ventricular arrhythmias, but in these patients noninvasive risk stratification with Holter, exercise, or standard signal-averaged electrocardiogram is limited. This study investigated whether late potential analysis during cardiac pacing is applicable. In 50 postinfarction patients with documented sustained ventricular tachycardia (VT) and in 50 patients without VT, late potential analysis during sinus rhythm was compared with the corresponding patient's analysis during temporary pacing. During sinus rhythm late potentials were seen in 48 of 50 patients with VT and in 2 of 50 patients without VT. No significant changes were observed during atrial pacing. Modified QRS alignment for signal averaging, QRS endpoint definition, and adjusted cutoff values for abnormality in time and frequency domain analysis allowed retrieval of all late potentials observed during sinus rhythm even in ventricular-paced beats and retrograde conduction. By application of an adjusted analysis to 100 selected patients with permanent pacemakers (50 patients with a history of VT, 50 patients without VT) late potentials were detectable in 44 of 50 patients with VT and in 4 of 50 without VT (sensitivity 88%, specificity 92%). Thus, considering that varying pacing modes, ventricular-paced beats, and retrograde conduction do require modifications of standard late potential analysis, this is an applicable mode for noninvasive risk stratification even in patients with cardiac pacemakers.

[Late potentials as risk parameters after heart infarct]. / Spätpotentiale als Risikoparameter nach Herzinfarkt.

Sustained ventricular tachycardias and sudden death can pose a threat to post-infarction patients. Patients at risk cannot be identified with adequate reliability with Holter monitoring or programmed ventricular stimulation. Late potentials arise as a result of delayed excitation in the marginal region of an infarct and reflect structural myocardial changes that represent the precondition for circus movement. Special methods have been developed to detect these potentials, which on the surface of the body are very small (1-10 microV). These potentials can be found in 70-80% of post-infarction patients with sustained ventricular tachycardias or fibrillation, but are rarely seen in MI patients with no arrhythmia. Late potential analysis represents a promising method of assessing the arrhythmogenic risk of post-infarction patients.

T wave spectral variance: A new method to determine inhomogeneous repolarization by T wave beat-to-beat variability in patients prone to ventricular arrhythmias.

Inhomogeneous repolarization is considered to be associated with increased risk of ventricular arrhythmias, but exact determination of the end of the T wave is difficult, and a single measurement of the QTc interval may be insufficient for risk stratification. A new algorithm was therefore developed to determine the beat-to-beat variability of the T wave in Holter electrocardiographic recordings. This algorithm, termed T Wave Spectral Variance (TWSV) uses the two-dimensional fast Fourier transform to determine the beat-to-beat variability of the T wave in Hotter ECG recordings. The two-dimensional fast Fourier transform was calculated by use of a data matrix with 1,024 consecutive single beats (first dimension) and a 200-ms segment centered on the T wave (second dimension). The power spectra of the 2D-FFT revealed the frequency content of the T wave in the first dimension and the periodicity of these frequencies in cycles per beat in the second dimension. A TWSV index of periodicity was calculated by dividing total spectral energy by spectral energy at 0 cycles per beat. A TWSV index of 0 means a constant T wave from beat to beat; a TWSV index of 1 means a completely irregular T wave. Of the 200 patients investigated, all of whom had had myocardial infarctions, 50 had documented sustained ventricular tachycardia (VT) (<230 beats/min) (group 1), 50 had ventricular fibrillation (VF) (group 2), and 100 were without VT or VF (group 3); 10 normal subjects were also investigated. The visually determined QTc was 442 +/- 62 ms in group 1, 402 +/- 13 ms in group 2, 411 +/- 26 ms in group 3, and 398 +/- 43 ms in normal subjects (differences not significant). The TWSV index was 0.95 +/- 0.14 in group 1, 0.90 +/- 0.16 in group 2, and 0.64 +/- 0.24 in group 3; it showed a highly constant T wave in normal subjects (0.52 +/- 0.23). Differences between patients with VT and VF as against patients without VT or VF were significant (P < .05), whereas no statistical differences between patients with VT and VF could be found. Thus, TWSV, a new method to assess beat-to-beat variability of the T wave, revealed increased heterogeneity of repolarization in patients prone to both VT and VF after myocardial infarction, whereas a single QTc interval measurement showed no significant differences.

Top-resolution frequency analysis of electrocardiogram with adaptive frequency determination. Identification of late potentials in patients with coronary artery disease.

Frequency analysis of the electrocardiogram with Fourier transform is a sensitive method of detecting late potentials. However, information about localization of late potentials is lost, frequency resolution is poor, and window functions have to be applied. We therefore analyzed multiple segments (25 msec long) of the surface electrocardiogram ("spectrotemporal mapping") with adaptive frequency determination (AFD), an autoregressive algorithm that is characterized by high-frequency resolution in very short segments without the use of window functions. Results were compared with those from Fourier transform and the Simson method. We studied 38 patients after myocardial infarction (MI) with sustained ventricular tachycardia (VT), 21 patients after MI without VT, and 18 healthy subjects. Frequency peaks could be clearly differentiated until a minimal interval of 6 Hz; with fast Fourier transform (Blackman Harris window) in a much longer segment (80 msec), the spectral peaks merged into one another at an interval of about 30 Hz. AFD revealed high-frequency components as narrow peaks in the range of 40-160 Hz in 28 of 38 patients (74%) after MI with VT. Because of the short segment size, exact localization of late potentials was possible; in most of the patients, the peaks occurred in segments inside the QRS complex and ended 20 +/- 10 msec after termination of the QRS complex. In patients after MI without VT, only four of 21 patients (19%) had spectral peaks in segments after the end of the QRS complex; however, 13 of 21 patients demonstrated microvolt potentials in segments within the QRS complex. These potentials did not extend beyond the end of normal ventricular activation. Only two of 18 healthy subjects showed abnormal AFD results. Patients with bundle branch block did not need to be excluded. AFD allowed good differentiation between late potentials and noise by a characteristic pattern of the spectral peaks. For the Simson method, patients with bundle branch block had to be excluded, and overall sensitivity was 42%. In five cases, the cause of failure of the Simson method could be identified as incorrect determination of the QRS limits due to noise. Thus, AFD is a promising method for detailed analysis of late potentials; it combines the advantages of frequency analysis (good differentiation between signal and noise and high-pass filters not necessary) and time domain analysis (localization of late potentials).

Functional changes of ventricular late potentials by provocation with increase of heart rate. Evaluation during atrial pacing.

BACKGROUND: Standard methods fail to reveal late potentials in 20 to 30% of patients with ventricular arrhythmias after myocardial infarction. However, these patients may develop transient delayed ventricular activation during increases in heart rate. METHODS AND RESULTS: Atrial pacing was performed, at the rates of 100 min-1 and 120 min-1, in 50 patients after myocardial infarction. Twenty-six patients had a history of documented, sustained ventricular tachycardia, 12 had a history of ventricular fibrillation and 12 no history of ventricular arrhythmias. The low-noise surface electrocardiogram was analysed before and during atrial pacing in the time and frequency domains. Fifteen of 26 patients with ventricular tachycardia, four of 12 with ventricular fibrillation and three of 12 without ventricular arrhythmias experienced late potentials during sinus rhythm. Atrial pacing led to a shift of 26 +/- 15 ms of preexistent late potentials into the ST segment, this being greater in patients with anterior infarctions and to an increase in magnitude in patients with inferior infarctions. In patients without late potentials during sinus rhythm, atrial pacing provoked late potentials in eight of 11 patients with ventricular tachycardia, in four of eight patients with ventricular fibrillation and in one of nine patients without ventricular arrhythmias. Low amplitude signals (LAS) were increased in patients after inferior and filtered QRS in patients after anterior infarction. In 10 patients without cardiac disease no late potentials were detectable in the time and frequency domain either at rest or during increased heart rate. CONCLUSIONS: Increase in heart rate may unmask late potentials in patients prone to malignant ventricular arrhythmias. Therefore, functional late potential analysis with non-invasive clinical stress tests, i.e. exercise tests, should be performed only with an adequate rate response. This might identify patients at risk of malignant ventricular arrhythmias otherwise not identified with conventional late potential analysis.

[Analysis of functional changes in ventricular late potentials for risk assessment of ventricular tachycardias after myocardial infarct]. / Analyse funktioneller Veränderungen ventrikulärer Spätpotentiale zur Risikoabschätzung von Kammertachykardien nach Herzinfarkt.

BACKGROUND: Electrophysiological abnormalities during ischaemia and increased heart rate may influence the detection of ventricular late potentials in the surface electrocardiogram. Whether the analysis of functional changes adds information to the risk stratification of patients prone to ventricular tachycardia is unclear. METHODS: We therefore retrospectively investigated 100 selected patients (25 with documented, sustained ventricular tachycardia (< 230/min) ( = VT group), 25 resuscitated from ventricular fibrillation (VF group) and 50 without ventricular arrhythmias (phi VT/VF group)) in the chronic phase after myocardial infarction. Late potential analysis was performed at rest, during atrial pacing at a rate of 100/min and 120/min (n = 60), during and after occlusion of the coronary artery for coronary angioplasty (PTCA) (n = 70), and immediately after maximum exercise using selective signal averaging. RESULTS: At rest in 72% of patients in the VT group, in 32% of the VF group, and in 6% of the phi VT/VF group late potentials could be found. During atrial pacing in 80% of patients in the VT group, in 72% of the VF group, and in 10% of the patients in the phi VT/VF group and during ischaemia because of occluded coronary artery in 86% of patients in and the VT group, 70% of the VF group, and in 20% of the patients of the phi VT/VF group late potentials were present. Immediately after maximum exercise which let both ischaemia and increased heart rate, late potentials were detectable in 92% of patients in the VT group, 80% of the VF group, and in 14% of patients in the phi VT/VF group. Similar results could be achieved by using the Holter-ECG after exact correction of recorder tape speed variations. 62% of patients with only by ischaemia, increased heart rate or exercise provokable late potentials and all patients with preexistent not by PTCA extinguished late potentials developed recurrent ventricular tachycardias during the one year follow-up period. Patients without late potentials (n = 50) and patients with preexistent by PTCA extinguished late potentials (n = 11) had no recurrent ventricular tachycardias. Cycle length of recurrent and clinical tachycardia in patients with preexistent not by PTCA extinguished late potentials (n = 18) were significantly longer than in patients with only provokable late potentials (n = 21). CONCLUSIONS: Analysis of functional changes of ventricular late potentials with exercise or in Holter ECG recordings promises considerable improvement of postinfarction risk stratification especially in patients prone to ventricular fibrillation.