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Hour Holter Monitoring (hour + holter_monitoring)
Selected AbstractsEvaluation of Patients with Palpitations: Cardiac Event Recorder Versus 48-hour Holter MonitoringANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 4 2000Ewa Makowska M.D. Objectives: (1) To compare a diagnostic yield of cardiac event recorders with that of 48-hour Holler monitoring, (2) to determine the etiologies of palpitations, and (3) to assess an optimal duration of using an event recorder by a patient. Background: Palpitation is a common symptom which accounts for 16% of total complaints reported by patients in general medical settings. An ambulatory Holter ECG monitoring or an event recorder can be used to establish the cause of palpitations. Methods: (1)The study group consisted of 33 consecutive patients (24 females, 9 males, mean age 50 ± 32 years) with undiagnosed attacks of palpitations, occurring at least once per month. Each patient was randomly allocated to use either an event monitor or 48-hour Holler monitoring. The patient kept the event monitor for 4 weeks. After the first monitor was returned, the patient was given the other device. Results: Holter monitoring determined the etiology of palpitations in 11 (33%) patients, and the event recorder in 21 (64%) patients (P = 0.0138). In the whole study group, the etiology of palpitations was disclosed in 23 (70%) patients. The diagnosis was possible using Holler ECG monitoring in only 2 (9%) patients, whereas the event recorder revealed the underlying mechanism of palpitations in 12 (52%) patients (P = 0.0007). In nine (39%) patients both methods were able to disclose the eliology of palpitations. The findings of 117 recordings obtained using an event recorder during palpitations were atrial fibrillation in 10 (9%), narrow QRS tachycardia in 4 (3%), frequent supraventricular eclopy in 17 (15%), frequent ventricular eclopy in 6 (5%), and episodes of palpitations sinus rhythm were recorded in the remaining 80 (68%). Of patients who experienced episodes of palpitations while using an event recorder, the earliest recording was obtained on the first day of the study, and the latest on the 18 day of using the event recorder. Conclusions: (1) The cardiac event recorders yield more diagnoses than 48-hour Holter monitoring in patients with palpitations occurring at least once per month, (2) in this group of patients the event recorder provided a diagnostic ECG recording during the first 18 days of using the device, and (3) in the majority (57%) of patients a normal sinus rhythm was recorded during episodes of palpitations. A.N.E. 2000;5(4):315,321 [source] Circadian Profile of Cardiac Autonomic Nervous Modulation in Healthy Subjects:JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, Issue 8 2003Differing Effects of Aging, Gender on Heart Rate Variability Introduction: Although heart rate variability (HRV) has been established as a tool to study cardiac autonomic activity, almost no data are available on the circadian patterns of HRV in healthy subjects aged 20 to 70 years. Methods and Results: We investigated 166 healthy volunteers (81 women and 85 men; age 42 ± 15 years, range 20,70) without evidence of cardiac disease. Time-domain HRV parameters were determined from 24-hour Holter monitoring and calculated as hourly mean values and mean 24-hour values. All volunteers were fully mobile, awoke around 7 A.M., and had 6 to 8 hours of sleep. Circadian profiles of vagus-associated HRV parameters revealed a marked day-night pattern, with a peak at nighttime and a plateau at daytime. The characteristic nocturnal peak and the day-night amplitude diminished with aging by decade. Estimates of overall HRV (geometric triangular index [TI], SD of NN intervals [SDNN]) and long-term components of HRV (SD of the averages of NN intervals for all 5-min segments [SDANN]) were low at nighttime and increased in the morning hours. There was a significant decline of 24-hour values of all HRV parameters (P < 0.001) and a strong negative correlation (P < 0.001) with increasing age. Mean 24-hour RR interval (P < 0.001), SDNN, mean SD of NN intervals for all 5-minute intervals (SDNNi), and SDANN (all P < 0.01) were significantly higher in men. Younger men also exhibited significantly higher values for vagus-associated parameters (root mean square successive difference [rMSSD], P < 0.05; SDNNi, P < 0.01); however, gender differences diminished with increasing age. Conclusion: Normal aging is associated with a constant decline of cardiac vagal modulation due to a significant decrease of nocturnal parasympathetic activity. The significant gender-related difference of HRV decreases with aging. These findings emphasize the need to determine age-, gender-, and nycthemeral-dependent normal ranges for HRV assessment. (J Cardiovasc Electrophysiol, Vol. 14, pp. 791-799, August 2003) [source] Heart Rate Turbulence Impairment and Ventricular Arrhythmias in Patients with Systemic SclerosisPACING AND CLINICAL ELECTROPHYSIOLOGY, Issue 8 2010PIOTR BIENIAS M.D., Ph.D. Background:,Arrhythmias, conduction disturbances, and cardiac autonomic nervous system dysfunction are the most frequent cardiovascular complications in systemic sclerosis (scleroderma). The aim of the study was to assess heart rate turbulence (HRT) in systemic sclerosis patients and to identify the relationship between HRT and occurrence of arrhythmias. Methods:,Forty-five patients with scleroderma (aged 54.6 ± 14.7 years) and 30 healthy sex- and age-matched subjects were examined. In addition to routine studies, 24-hour Holter monitoring with assessment of HRT was performed. Results:,As compared to controls, HRT was significantly impaired in systemic sclerosis patients. Abnormal HRT defined as turbulence onset (TO) ,0.0% and/or turbulence slope (TS) ,2.5 ms/RR (ms/RR interval) was found in 19 (42%) scleroderma patients and in no members of the control group. Serious ventricular arrhythmias Lown class IV (VA-LownIV), for example, couplets and/or nonsustained ventricular tachycardias, were observed in 16 (36%) scleroderma patients. The median value of TS was significantly lower in systemic sclerosis patients with VA-LownIV than in patients without VA-LownIV (3.68 vs 7.00 ms/RR, P = 0.02). The area under curve of ROC analysis for prediction of VA-LownIV was 0.72 (95% confidence interval [CI] 0.56,0.87) and revealed that TS <9.0 ms/RR was associated with VA-Lown IV occurrence, with sensitivity of 93.7% and specificity of 44.8%. Univariate and multivariate analyses confirmed that lower values of TS were associated with VA-LownIV occurrence (odds ratio 1.52, 95% CI 1.09,2.12, P = 0.01). Conclusions:,Patients with systemic sclerosis are characterized by significant HRT impairment. Assessment of HRT and especially TS is useful in the identification of patients at risk for ventricular arrhythmias. (PACE 2010; 920,928) [source] Heart Rate Variability in Arrhythmogenic Right Ventricular Cardiomyopathy Correlation with Clinical and Prognostic FeaturesPACING AND CLINICAL ELECTROPHYSIOLOGY, Issue 9 2002ANTONIO FRANCO FOLINO FOLINO, A.F., et al.: Heart Rate Variability in Arrhythmogenic Right Ventricular Cardiomyopathy Correlation with Clinical and Prognostic Features. The identification of subjects with arrhythmogenic right ventricular cardiomyopathy (ARVC) at higher risk for sudden death is an unresolved issue. An influence of the autonomic activity on the genesis of ventricular arrhythmias was postulated. Heart rate variability (HRV) analysis provides a useful method to measure autonomic activity, and is a predictor of increased risk of death after myocardial infarction. For these reasons, the aim of the study was to evaluate HRV and its correlations with ventricular arrhythmias, heart function, and prognostic outcome in patients with ARVC. The study included 46 patients with ARVC who were not taking antiarrhythmic medications. The diagnosis was made by ECG, echocardiography, angiography, and endomyocardial biopsy. Exercise stress test and Holter monitoring were obtained in all patients. Time-domain analysis of HRV was expressed as the standard deviation of all normal to normal NN intervals (SDNN) detected during 24-hour Holter monitoring. Thirty healthy subjects represented a control group for HRV analysis. The mean follow-up was 10.8 ± 1.86 years. SDNN was reduced in patients with ARVC in comparison with the control group (151 ± 36 vs 176 ± 34, P = 0.00042). Moreover, there was a significant correlation of this index with the age of the patients (r =,0.59, P < 0.001), with the left (r = 0.44, P = 0.002) and right (r = 0.47, P = 0.001) ventricle ejection fraction, with the right ventricular end diastolic volume (r =,0.62, P < 0.001), and with the ventricular arrhythmias, detected during the same Holter record used for HRV analysis (patients with isolated ventricular ectopic beats < 1,000/24 hours, 184 ± 34; patients with isolated ventricular ectopic beats > 1,000/24 hours and/or couplets, 156 ± 25; patients with repetitive ventricular ectopic beats (,3) and/or ventricular tachycardia, 129 ± 25; P < 0.001). During follow-up two patients showed a transient but significant reduction of SDNN and a concomitant increase of the arrhythmic events. In eight patients an episode of sustained ventricular tachycardia occurred, but the mean SDNN of this subgroup did not differ from the mean value of the remaining patients (152 ± 15 vs 150 ± 39; P = NS). Only one subject died after heart transplantation during follow-up (case censored). Time-domain analysis of HRV seems to be a useful method to assess the autonomic influences in ARVC. A reduction of vagal influences correlates with the extent of the disease. The significant correlation between SDNN and ventricular arrhythmias confirmed the influences of autonomic activity in the modulation of the electrical instability in ARVC patients. However, SDNN was not predictive of spontaneous episodes of sustained ventricular tachycardia. [source] Evaluation of the Relationship between Atrial Septal Aneurysm and Cardiac Arrhythmias via P-Wave Dispersion and Signal-Averaged P-Wave DurationANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 2 2010Onur Sinan Deveci M.D. Objective: The aim of the study was to investigate the relationship between atrial septal aneurysms (ASAs) and cardiac arrhythmias via signal-averaged P-wave duration (SAPWD) and P-wave dispersion (Pd). Methods: Sixty-six patients with ASA served as the study group (group 1; 28 men and 38 women; mean age, 34 ± 10 years) and 62 healthy volunteers served as the control group (group 2; 29 men and 33 women; mean age, 31 ± 8 years) in the current study. ASAs were diagnosed by transthoracic echocardiography based on the criteria of a minimal aneurysmal base of ,15 mm; and an excursion of ,10 mm. All subjects were evaluated by 24-hour Holter monitoring, 12 lead body surface electrocardiogram for P-wave analysis, and signal-averaged electrocardiogram for P-wave duration (PWD). Results: There was no significant difference between the study and control groups in terms of age, gender, left atrium diameter, and left ventricular ejection fraction. Supraventricular arrhythmias (SVAs) were detected in 29 patients with ASA (43.9%) and 5 controls (8.1%; P < 0.001). The mean Pd in patients with ASA was significantly longer compared to the control group (14.1 ± 8 ms vs 7.0 ± 2.9 ms; P < 0.001). Similarly, the mean SAPWD in group 1 was significantly longer compared to group 2 (127.4 ± 17.6 ms vs 99.8 ± 12.3 ms; P < 0.001). Conclusion: Prolonged SAPWD and Pd were determined to indicate electrical disturbances in the atrial myocardium, and predict the increase in the prevalence of SVA in patients with ASA. Ann Noninvasive Electrocardiol 2010;15(2):157,164 [source] Electrocardiographic Evaluation in Patients with Systemic Scleroderma and without Clinically Evident Heart DiseaseANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 3 2009Anna Bie, Ph.D., ous-Wilk M.D. Background: In patients with systemic scleroderma (SSc), clinically evident cardiac involvement is recognized to be a poor prognostic factor. The aim of the study was to evaluate electrocardiographic changes, parameters of heart rate variability (HRV), and heart rate turbulence (HRT) in patients with SSc without evident symptoms of heart disease. Methods: A group of 27 patients with SSc were subjected to standard electrocardiography (ECG) examination and 24-hour Holter monitoring. Analysis of HRV in time and frequency domains, HRT, and echocardiography were also performed. Results: Holter monitoring revealed a larger number of premature supraventricular contractions (PSVCs), as well as premature ventricular contractions (PVCs) in the patients with systemic scleroderma, as compared with the control group. Moreover, the SSc patients showed decreased parameters of time and frequency domains, as referred to the controls, especially during night hours. In four patients, abnormal HRT values were present. On echocardiography, only slight changes were found, however in five patients left ventricle diastolic dysfunction was diagnosed. Conclusions: The noninvasive electrocardiographic methods seems to be useful for detecting early heart involvement in course of SSc and could be recommended for routine used in clinical practice. Significance of HRT analysis in patients with SSc needs further elucidation. [source] Circadian Variation in QT Dispersion Determined from a 12-Lead Holter Recording: A Methodological Study of an Age- and Sex-Stratified Group of Healthy SubjectsANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 3 2007Stig Hansen M.D. Background: QT dispersion is considered to reflect inhomogeneity of myocardial repolarization. Method: The circadian variation of QT interval dispersion was examined in 95 healthy subjects using 24-hour Holter monitoring. Three different methods of lead selection were applied: all 12 leads (QTdisp 12), only precordial leads (QTdisp 6), and the pair of leads selected at 3 a.m. in which the longest and shortest QT intervals were found in each individual subject (QTdisp 2). Results: A preliminary methodological study including measurements from every minute in 10 subjects revealed no significant circadian variation using mean values of QTdisp 12, QTdisp 6, or QTdisp 2 obtained every hour, every 2, or every 4 hours, except in QTdisp 6, which demonstrated a significant circadian variation (P < 0.01) in 1-hour measurements. Analysis of all 95 subjects using measurements obtained every 4 hours revealed a significant circadian variation in QTdisp 12 and QTdisp 6 (P < 0.0001), whereas no circadian variation was seen in QTdisp 2. A subdivision into 10-year age groups revealed that subjects at age >50 years had a significant circadian variation in QTdisp 12 and QTdisp 6, but not in QTdisp 2. Only in males a significant circadian variation was seen in QTdisp 12 (P < 0.0001), whereas QTdisp 6 demonstrated a circadian variation both in females (P < 0.001) and in males (P < 0.0001). Conclusions: Selection of leads is of crucial importance for repetitive measurements of QT dispersion. Circadian variation was detected in subjects over 50 years of age, when all 12 or only the 6 precordial leads were taken into account. [source] Evaluation of Patients with Palpitations: Cardiac Event Recorder Versus 48-hour Holter MonitoringANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 4 2000Ewa Makowska M.D. Objectives: (1) To compare a diagnostic yield of cardiac event recorders with that of 48-hour Holler monitoring, (2) to determine the etiologies of palpitations, and (3) to assess an optimal duration of using an event recorder by a patient. Background: Palpitation is a common symptom which accounts for 16% of total complaints reported by patients in general medical settings. An ambulatory Holter ECG monitoring or an event recorder can be used to establish the cause of palpitations. Methods: (1)The study group consisted of 33 consecutive patients (24 females, 9 males, mean age 50 ± 32 years) with undiagnosed attacks of palpitations, occurring at least once per month. Each patient was randomly allocated to use either an event monitor or 48-hour Holler monitoring. The patient kept the event monitor for 4 weeks. After the first monitor was returned, the patient was given the other device. Results: Holter monitoring determined the etiology of palpitations in 11 (33%) patients, and the event recorder in 21 (64%) patients (P = 0.0138). In the whole study group, the etiology of palpitations was disclosed in 23 (70%) patients. The diagnosis was possible using Holler ECG monitoring in only 2 (9%) patients, whereas the event recorder revealed the underlying mechanism of palpitations in 12 (52%) patients (P = 0.0007). In nine (39%) patients both methods were able to disclose the eliology of palpitations. The findings of 117 recordings obtained using an event recorder during palpitations were atrial fibrillation in 10 (9%), narrow QRS tachycardia in 4 (3%), frequent supraventricular eclopy in 17 (15%), frequent ventricular eclopy in 6 (5%), and episodes of palpitations sinus rhythm were recorded in the remaining 80 (68%). Of patients who experienced episodes of palpitations while using an event recorder, the earliest recording was obtained on the first day of the study, and the latest on the 18 day of using the event recorder. Conclusions: (1) The cardiac event recorders yield more diagnoses than 48-hour Holter monitoring in patients with palpitations occurring at least once per month, (2) in this group of patients the event recorder provided a diagnostic ECG recording during the first 18 days of using the device, and (3) in the majority (57%) of patients a normal sinus rhythm was recorded during episodes of palpitations. A.N.E. 2000;5(4):315,321 [source] Relationship Between Myocardial Beta-Adrenergic Sensitivity and Heart Rate VariabilityANNALS OF NONINVASIVE ELECTROCARDIOLOGY, Issue 2 2000Philippe Cabrol M.D. Background: In congestive heart failure, despite activation of the sympathetic nervous system, heart rate variability parameters reflecting sympathetic modulation on sinus node are decreased. Our goal was to assess the role of beta-adrenergic sensitivity in the modulation of heart rate variability (HRV) in patients with valvular heart diseases. Methods and results: Ten patients with aortic stenosis, 10 patients with heart failure, and 12 controls were included. Baroreflex sensitivity was calculated by the sequency method. Noradrenaline plasma levels were assayed by HPLC. HRV was studied using 24-hour Holter monitoring. Cardiac beta-adrenergic receptivity was assessed by the chronotropic response to dobutamine. Right auricular samples were obtained for determination of beta-adrenergic receptor density by binding study with [125I]-iodocynaopindolol, and beta 1 and beta 2 densities, measured by competition between 125ICP binding by isoprenaline. In multivariate analysis, the dose of dobutamine that increases basal heart rate for 25 beats/min (ED25) is correlated with a parameter of global HRV: SDNN (r = 0.6, P < 0.001) and with indexes reflecting rather sympathetic modulation of HRV: SDANN (r = 0.62, P < 0.001) or SD (r = 0.47, P < 0.0001). All these relations were independent from mean NN, spontaneous baroreflex sensitivity, and noradrenaline plasma levels. No significant correlation existed between dobutamine ED25 and HRV indexes reflecting parasympathic tone. No relationship existed between HRV and beta-adrenergic receptor-binding characteristics. Conclusion: Cardiac beta-adrenergic sensitivity explored by dobutamine ED25 is an important determinant of HRV independent from mean NN, spontaneous baroreflex sensitivity, and noradrenaline plasma levels. [source] |