Risk assessment of R-on-T event based on modeled QT-RR relationship

Background: R‐on‐T event is a well‐known trigger of ventricular tachycardia (VT) and ventricular fibrillation (VF). We propose a method to estimate the risk of R‐on‐T event from the inter‐beat (RR) intervals based on modeled QT‐RR relationship. Methods: We retrospectively analyzed the Spontaneous Ventricular Tachyarrhythmia Database and the HAWAI Registry, which include a total of 397 RR interval recordings from 116 implantable cardioverter defibrillator patients. For each RR interval time series, QT intervals were estimated from the weighted average of preceding RR intervals using Bazett, Fridericia, and linear formulas. The risk score (RS) of each cycle was calculated to quantify the probability of R‐on‐T event based on the timing of R‐wave relative to the estimated T‐end. We identified 52,440 ectopic beats (EBs) episodes, 280 nonsustained VT (NSVT) episodes, and 352 sustained VT/VF episodes. The RS of episode onset and the prematurity index (PMI) of the initiating beat were compared. Results: Using different QT‐RR models, R‐on‐T events were respectively detected in 9% EB, 45% NSVT, 69% VT/VF (Bazett); in 6% EB, 41% NSVT, 65% VT/VF (Fridericia); and in 7% EB, 42% NSVT, 66% VT/VF (linear). No R‐on‐T event was found in normal beats. Consistent among three QT‐RR models, the RS of episode onset rises sharply from EB to NSVT and to VT/VF episodes. In contrast, no trend in PMI is found. Conclusions: The risk of R‐on‐T can be estimated from RR intervals, based on modeled QT‐RR relationship. An episode onset with higher RS has increased risk of developing into NSVT or VT/VF. (PACE 2011; 700–708)     

Dynamic Relationship Between the Q-aT Interval and Heart Rate in Patients with Long QT Syndrome During 24-Hour Holter ECG Monitoring

The purpose of this study was to investigate the dynamic relationship between heart rate and the Q-aT interval (the interval from the Q wave to the T wave apex) in patients with long QT syndrome. The QT to heart rate relation is useful for evaluating abnormalities of the ventricular repolarization, but its clinical application to the long QT syndrome requires accurate computer aided measurement of the QT interval and the sampling of a large number of beats. Therefore, the Q-aT interval was used on the basis of some reports that the heart rate dependency of the QT interval was concentrated in the Q-aT interval. Recent advances in the computer technology have allowed analysis of the relationship between the Q-aT and RR intervals on Holter ECG recordings. However, in addition to a prolonged QT interval, most patients with long QT syndrome have bizarre and variable T waves and the influence of this T wave morphology on the Q-aT to heart rate relation has not been clarified. We investigated the dynamic relationship between the Q-aT interval and heart rate in 10 patients with long QT syndrome and 11 control subjects using our original computer algorithm for the analysis of 24-hour Holter ECG recordings. The patients showed morphological T wave changes associated with heart rate changes during Holter recordings and these affected the Q-aT interval. The patients showed the following characteristics in the relationship between the major T wave peak and the RR interval: (1) a modestly decreased correlation between Q-aT and RR than in the control subjects (a median r value of 0.87 vs 0.93; P = 0.001); and (2) a steeper Q-aT/RR slope than in controls (a median slope of 0.24 vs 0.16; P < 0.05). Abnormal and variable T wave morphology in the long QT patients was closely related to a modestly decreased correlation between Q-aT and RR than in the control subjects. The steep Q-aT/RR slope might reflect unstable repolarization of the ventricle, which could act as a substrate for ventricular tachyarrhythmias.     

Steady-state versus non-steady-state QT-RR relationships in 24-hour Holter recordings

The aim of the present study was to investigate the QT-RR interval relationship in ambulatory ECG recordings with special emphasis on the physiological circumstances under which the QT-RR intervals follow a linear relation. Continuous ECG recordings make it possible to automatically measure QT duration in individual subjects under various physiological circumstances. However, identification of QT prolongation in Holter recordings is hampered by the rate dependence of QT duration. Comparison of QT duration and QT interval rate dependence between different individuals implies that the nature of the QT-RR relationship is defined in ambulatory ECG. Holter recordings were performed in healthy volunteers at baseline and after administration of dofetilide, a Class III antiarrhythmic drug. After dofetilide, beat-to-beat automated QT measurements on Holter tapes were compared with manually measured QT intervals on standard ECGs matched by time. The QT-RR relationship was analyzed at baseline in individual and group data during three different periods: 24-hour, daytime, and nighttime. Data were collected under steady-state or non-steady-state conditions of cycle length and fitted with various correction formulae. Our study demonstrated an excellent agreement between manually and automated measurements. The classic Bazett correction formula did not fit the QT-RR data points in individual or group data. When heart beats were selected for a steady rhythm during the preceding minute, QT-RR intervals fit a linear relationship during the day and night periods, but not during the 24-hour period in both individual and group data. In contrast, in the absence of beat selection, data fit a more complex curvilinear relationship irrespective of the period. Our study provides the basis for comparison of QT interval durations and QT-RR relationships between individuals and between groups of subjects.     

The Relationship Between Heart Rate and QT Interval During Atrial Stimulation

The relationship between heart rate and QT interval was investigated during atrial stimulation (intrinsic effect of heart rate) in ten healthy male volunteers prior to and after administration of sotaloI. The QT interval in the ECG (paper speed 200 mm/s) was determined at rates of 70, 85, 100, 115, 130, 145, and 160 beats/min and at pacing periods of 180 s each at 30, 60, 120, and 180 s. After a 15-minute period, 2.0 mg sotalol/kg body weight were administered iv and the stimulation protocol was repeated. The analysis of QT interval behavior reveals contradictions to the mathematical implications of Bazett's equation     , so that the relationship between heart rate and QT interval is not adequately described under the given conditions. After examination of approaches reported in the literature and our own approaches, the expression QT = a e^−b(HR-60) is used as a possibility differentially to describe the data by nonlinear regression. The parameters a and b may be interpreted as QT reference value and shortening parameter. The QT reference value a, a parameter in reference to heart rate of 60 beats/min, has a comparable significance to the expression QT, in the Bazett equation. A reduction in the shortening parameter b indicates whether substances influencing the QT interval additionally produce overproportional shortening of the QT interval with increasing heart rate. After administration of sotalol, an increase can be observed in both the QT reference value and also in the shortening parameter. The suggested approach is an attempt to provide a more precise assessment of the QT interval under different conditions.     

Beat-To-Beat Behavior of QT Interval During Conducted Supraventricular Rhythm in the Normal Heart

To assess beat-to-beat behavior of QT interval under different conditions, high resolution recordings and computerized beat-to-beat analysis of the electrocardiogram were performed at rest, during recovery after short exercise, and during atrial pacing. Beat-to-beat variations of QT interval during sinus rhythm at rest and after short exercise were measured in ten healthy men. In an additional three patients with supraventricular tachycardia, beat-to-beat QT changes were studied after abrupt sustained acceleration and deceleration of heart rate by atrial pacing. Beat-to-beat changes in RH interval at rest are followed by minimal changes of the QT interval. The measured proportional change of the QT interval compared with the change in HR interval (Δ QT/A BR) was 0.02. This value represents 10% of the value expected for QT changes from Bazett's formula. Following short exercise QT interval did not change for 15 seconds and reached a maximal value 30 seconds later as compared to the RR interval (192 vs 115 sees, P < 0.001). The steady state of the QT interval during sustained atrial pacing was achieved after 132, 135, and 133 seconds for pacing intervals of 600, 500, and 600 msec, respectively. Our data indicate a relatively slow adaptation of the QT interval to changes in heart rate.     

Heart Rate‐Dependence of QTc Intervals Assessed by Different Correction Methods in Patients with Normal or Prolonged Repolarization

Background: There is a continuing debate about the optimal method for QT interval adjustment to heart rate changes. We evaluated the heart rate dependence of QTc intervals derived from five different QT correction methods. Methods: Study patients (n = 123, age 68 ± 11 years) were dual‐chamber device recipients with baseline normal or prolonged QT interval who had preserved intrinsic ventricular activation with narrow QRS complexes. Patients were classified to either Normal‐QT (n = 69) or Prolonged‐QT (n = 54) groups. Serial QT intervals were recorded at baseline (52 ± 3 beats per minute) and following atrial pacing stages at 60, 80, and 100 beats per minute. The QTc formulae of Bazett, Fridericia, Sagie‐Framingham, Hodges, and Karjalainen‐Nomogram were applied to assess the effect of heart rate on the derived QTc values by using linear mixed‐effects models. Results: Heart rate had a significant effect on QTc regardless of the formula used (P < 0.05 for all formulae). The Bazett's formula demonstrated the highest QTc variability across heart rate stages (highest F values) in both patient groups (in the total cohort, F = 175.9). In the following rank order, the formulae Hodges, Karjalainen‐Nomogram, Sagie‐Framingham, and Fridericia showed similar QTc heart rate dependence at both slower and faster heart rates in both patient groups (F = 21.8, 25.6, 28.8, 36.9, in the total cohort, respectively). Conclusions: Of the studied QTc formulae, the Bazett appeared the most heart rate dependent. Our results suggest the use of Hodges and the Karjalainen‐Nomogram secondly to ensure least heart rate dependence of QTc intervals in patients with either normal or prolonged repolarization. (PACE 2010; 553–560)     

Signal-Averaged Electrocardiography in Elderly Subjects With and Without Heart Disease

Prevalence of abnonnal signal-averaged electrocardiography in normal populations ap pears to be low, but has not been studied previously in an asymptomatic elderly population. To study the prevalence of abnormal ventricular late potentials in an elderly population, a group of 51 subjects with no evidence of cardiac disease and ranging In age from 62 to 102 years underwent signal-averaged electrocardiography. Results were compared to a group of 179 patients similar in age but with complex ventricular arrhythmias, and to a group of 25 asymptomatic volunteers under the age of 50. The prevalence of an abnormal signal-averaged ECG was 14% in the normal elderly subjects, and 31 % in the patients (P = 0.01), and 4 % in the young subjects (P = NS). We conclude that the prevalence of abnormal ventricular late potentials in elderly patients without heart disease is similar to levels reported in other populations of normal controls, but elderly patients with cardiac disease have a significantly higher prevalence of abnormal signal-averaged ECG studies than the normals.     

Hysteresis in the Human RR-QT Relationship During Exercise and Recovery

The present study was undertaken to test the hypothesis that the human RR-QT relationship during dynamic exercise diners markedly from that during the recovery phase. Fourteen subjects from the age of 16 to 71 years exercised on a treadmill according to the Bruce protocol. Electrocardiograms were recorded continuously on a magnetic tape, from 1 minute before exercise to 10 minutes into recovery. An exponential formula, proposed by us earlier, closely represented the exercise RR-QT data. However, it was not appropriate for the often S-shaped recovery curves which invariably deviated from the exercise curves, exhibiting hysteresis. Initially, all recovery QT intervals were shorter than the exercise values, but later in the recovery, some crossed the exercise curves from below, resulting in longer QT intervals. The recovery data were fitted by a third degree polynomial, and the hysteresis was calculated as the area between the exercise and recovery curves within a 150 ms range of the RR interval starting from its minimum value. The mechanisms for the occurrence of hysteresis are likely to involve the sympatho-adrenal activity in the early post-exercise period and the time course of QT interval adaptation to rapid changes in the RR interval.     

Temporal Relationship Between Exercise and QT Shortening in Patients with QT Pacemakers

The present study was undertaken to examine the temporal relationship between exercise and QT interval shortening as one of the principal determinants for the functioning of QT pacemakers. Ten patients (mean age of 72.6 years) with implanted QT pacemakers were subjected to supine bicycle exercise with two different slopes, 90% and 80%. The QT interval as seen by the pacemaker was monitored by telemetry and stored on magnetic tape. After the beginning of exercise QT prolongation of a few msec occurred up to 40 sec in most patients. The earliest QT shortening of 4 msec was noted after 63.4 sec with 90% slope and 75.7 sec with 80% slope. The difference was not significant. The further time course was dependent on slope and pacemaker algorithm. Maximal QT shortening was 65.9 msec with 90% and 69.8 msec with 80% slope. It was seen 29.2 sec after termination of exercise with 90% slope and 69.5 sec with 80% slope (P < 0.05). There was no correlation of the measured delays with age. Earliest rate response in QT driven pacemakers is determined by earliest QT shortening on one hand and by the slope setting of the pacemaker on the other, where the limiting parameter appears to be QT shortening, which occurs after the first minute of exercise.     

欧洲帕金森病物理治疗指南评定方法解读

物理治疗在帕金森病治疗领域越来越受到重视。欧洲于2014年发布帕金森病物理治疗指南,指南以患者为中心,纳入循证医学证据,采用系统分析法制定。本文在分析该指南评定方法的基础上,结合新近文献和临床可行性,主要从欧洲帕金森病物理治疗指南推荐的评定工具、使用推荐评定工具的一般要求及评定的意义对其进行解读,内容涵盖预评定工具、测试物理治疗效果的评定工具、帕金森病严重程度和进展的评定工具及认知心理的评定。     

Gender Differences in the Dynamics of Terminal T Wave Intervals

This study was designed to investigate gender differences in the dynamic changes of the terminal T wave (Ta-e interval) of healthy subjects. Holter ECGs were recorded in 24 healthy volunteers (12 men aged 23 ± 2 years). The intervals from QRS onset to the apex (QaT) and to the end of the T wave (QeT), and the interval between the apex and the end of the T wave (Ta-e) were measured. Then, the QeT/RR, QaT/RR, and Ta-e/RR relationship was evaluated by linear regression analysis in each subject. The QeT and QaT intervals were significantly longer in women than men and the slope of the QeT/RR and QaT/RR relationship was steeper in women than men. The Ta-e intervals showed a significant but weaker positive correlation with the preceding RR intervals in 7 (58.3%) men and 9 (75.0%) women. The average values of the slope and the correlation coefficient of the Ta-e/RR relationship were significantly smaller compared to those of QeT and QaT in both men and women (P < 0.0001). The slope of the Ta-e/RR relationship was significantly greater in women than men (0.025 ± 0.009 vs 0.011 ± 0.012, P < 0.005). However, the Ta-e intervals were significantly longer over the entire range of RR intervals in men than women (P < 0.0001). The rate-correcting formulas of Bazett and Framingham overcorrected the Ta-e intervals. The observed gender difference in the measurement and dynamics of the Ta-e interval may help to understand the mechanisms underlying the gender difference in the incidence of ventricular arrhythmias. (PACE 2004; 27[Pt. I]:769–774)     

老年冠心病的发生及冠脉病变严重程度与AASI的相关性研究

目的:探究老年冠心病的发生及冠状动脉病变严重程度与动态动脉硬化指数(AASI)的相关性。方法:回顾性分析2016年5月~2017年5月在我院门诊收治的老年冠心病患者112例,根据AASI高低将患者分成正常组71例(AASI≤0.55)和升高组41例(AASI0.55),比较两组患者的一般情况及冠状动脉病变支数,并和Gensini评分进行相关性分析。结果:两组患者的性别、血脂、BUN、BMI、吸烟史比较,差异无统计学意义(P0.05);年龄、糖尿病史及高血压病史比较,差异具有统计学意义(P0.05);升高组的冠脉3支病变显著高于正常组,差异具有统计学意义(P0.05);AASI与Gensini评分呈正相关。结论:AASI对老年冠心病的发生具有预测价值,且冠状动脉病变程度越严重,AASI越高。     

Alteration of the QT/RR Relationship in Patients with Idiopathic Ventricular Tachycardia

It has been shown that alterations in QT/RR relationship may be associated with arrhythmogenesis in several clinical settings. In the present study the QT/RR relationship was studied in 20 patients with idiopathic ventricular tachycardia (12 men and 8 women, aged 41±14 years) compared to 20 normal subjects (9 men and 11 women, aged 39 ± 13 years). All the patients were off any antiarrhythmic drugs and had no evidence of intraventricular conduction defects. The QT intervals and their preceding RR intervals were measured on electrocardiogram strips from 24-hour Holter tapes at hourly intervals. The differences in the maximum, minimum, and mean of either the QT interval or its corrected values between patients with idiopathic ventricular tachycardia and normal subjects were not statistically significant. There was a significant correlation between the QT and RR intervals in normal subjects (γ= 0.73 ± 0.12, P < 0.05) and in patients with idiopathic ventricular tachycardia (γ= 0.80 ± 0.10, P < 0.05). However, the linear regression line of the QT interval against the RR interval were significantly (P < 0.001) altered in patients with idiopathic ventricular tachycardia (QT = 0.24 + 0.18 RR) compared to normal subjects (QT = 0.27 ± 0.12 RR). We conclude that although there is no significant change in the QT interval and its corrected values, the QT/RR relationship is significantly altered in patients with idiopathic ventricular tachycardia as compared to normal subjects. This may be of importance in the pathogenesis of idiopathic ventricular tachycardia in these patients.     

Corrected QT interval in relation to the severity of diabetic autonomic neuropathy

The aim of this study was to investigate to what extent the existence of objective signs of diabetic autonomic neuropathy affects the corrected QT interval (QTc) in diabetic subjects. A total of 105 diabetic subjects (type 1, n  = 53; type 2, n  = 52) as well as 40 matched (by age and sex) control subjects were studied. All subjects underwent the battery of five Ewing tests. Autonomic neuropathy was diagnosed if two of the five tests were abnormal. In addition, the result of each test was considered as normal (grade = 0), borderline (grade = 1) or abnormal (grade = 2), and on the basis of the sum of the scores we calculated a total score for autonomic neuropathy. The QTc interval was measured at rest, and a value > 440 ms was considered abnormal. The QTc interval was significantly more prolonged in diabetic persons with autonomic neuropathy than in those without neutopathy and in control subjects: 408.4 ± 24.2 ms vs. 394.6 ± 27.9 ms and 393.6 ± 25.5 ms respectively ( P  = 0.001). Furthermore, multivariate analysis controlling for age, sex, systolic and diastolic blood pressure, body mass index (BMI), waist–hip ratio (WHR), smoking, type and duration of diabetes, type of treatment, HBA_1c and total score of autonomic neuropathy eliminated the role of all these factors as potential confounders except for the total score of autonomic neuropathy, which was found to affect QTc interval independently and significantly ( P  = 0.012). In summary, the present study confirmed the well-known relation between autonomic neuropathy and QTc interval; in addition, it showed that QTc prolongation is associated with major degrees of autonomic neuropathy.     

Evaluation of PR, RR, QT Intervals and QT Dispersion Following Stellate Ganglion Block in Chronic Shoulder–Hand Pain Patients

Abstract: Right stellate ganglion block (SGB) can increase QT interval, rate‐corrected QT interval (QTc), QT dispersion (QTD), rate‐corrected QTD (QTcD), and RR interval while left SGB can decrease these intervals in healthy volunteers. No such studies have been conducted in patients with chronic pain, hence this study was designed to investigate the effects of left and right SGB on these variables in chronic shoulder–hand pain patients. In this study, 28 patients with chronic shoulder–hand pain of at least 6 months duration were given right or left SGB depending on the shoulder affected. A 12‐lead electrocardiogram (ECG) was recorded before the block, 30 minutes and 60 minutes after the block. PR interval, RR interval, QT interval were recorded in all 12 leads while QTc, QTD, and QTcD were calculated. Right SGB was performed in 21 patients. A significant decrease (P < 0.05) in PR interval and a significant increase (P < 0.05) in RR interval, QT interval, and QTc interval were observed. QTD showed a significant increase (P < 0.05) only at 30 minutes after right SGB. Left SGB was performed in seven patients. A significant decrease (P < 0.05) in QT interval was observed throughout the study period, while QTc showed a significant decrease (P < 0.05) only at 60 minutes after the block. We conclude that right SGB induces significant increase of QT interval, RR interval, QTc interval, QTD, and a significant decrease of PR interval while left SGB produces a significant decrease in QT and QTc intervals in patients with chronic shoulder–hand pain.     

老年冠心病患者血清瘦素、脂联素、血脂水平分析及其与冠状动脉病变的关系

目的：探讨老年冠心病患者血清瘦素、脂联素及血脂水平与冠状动脉病变程度的关系。方法选择2011年1月～2012年6月收治的冠心病患者86例,其中稳定性心绞痛（SA）26例,不稳定性心绞痛（UA）28例,急性心肌梗死（AMI）32例,并选择同期门诊体检健康人30名作为对照组,应用酶联免疫吸附法（ELISA）检测各组血清瘦素、脂联素、甘油三酯（TG）、总胆固醇（TC）、低密度脂蛋白（LDL）、高密度脂蛋白（HDL）水平。应用Gensini评分评价冠心病患者冠状动脉病变情况。结果①SA组、UA组、AMI组血清瘦素水平逐渐升高且明显高于对照组,组间差异有统计学意义（P＜0.05）;SA组、UA组、AMI组血清脂联素水平逐渐降低且明显低于对照组,组间差异有统计学意义（P＜0.05）。②AMI组、UA组、SA组TG、TC、LDL明显高于对照组（P＜0.05）;AMI组、UA组HDL水平明显低于对照组（P＜0.05）。③冠心病患者血清脂联素水平随Gensini评分升高而逐渐降低,瘦素、TG、TC、LDL水平随Gensini评分升高而逐渐升高,组间差异有统计学意义（P＜0.05）。结论老年冠心病患者血清瘦素、TG、TC、LDL水平异常升高,血清脂联素水平异常降低,两者变化与冠状动脉病变程度密切相关。