QT Interval Variability and Adaptation to Heart Rate Changes in Patients with Long QT Syndrome

Background: Increased QT variability (QTV) has been reported in conditions associated with ventricular arrhythmias. Data on QTV in patients with congenital long QT syndrome (LQTS) are limited.
Methods: Ambulatory electrocardiogram recordings were analyzed in 23 genotyped LQTS patients and in 16 healthy subjects (C). Short-term QTV was compared between C and LQTS. The dependence of QT duration on heart rate was evaluated with three different linear models, based either on the RR interval preceding the QT interval (RR₀), the RR interval preceding RR₀ (RR_-1), or the average RR interval in the 60-second period before QT interval (mRR).
Results: Short-term QTV was significantly higher in LQTS than in C subjects (14.94 ± 9.33 vs 7.31 ± 1.29 ms; P < 0.001). It was also higher in the non-LQT1 than in LQT1 patients (23.00 ± 9.05 vs 8.74 ± 1.56 ms; P < 0.001) and correlated positively with QTc in LQTS (r = 0.623, P < 0.002). In the C subjects, the linear model based on mRR predicted QT duration significantly better than models based on RR₀ and RR_-1. It also provided better fit than any nonlinear model based on RR₀. This was also true for LQT1 patients. For non-LQT1 patients, all models provided poor prediction of QT interval.
Conclusions: QTV is elevated in LQTS patients and is correlated with QTc in LQTS. Significant differences with respect to QTV exist among different genotypes. QT interval duration is strongly affected by noninstantaneous heart rate in both C and LQT1 subjects. These findings could improve formulas for QT interval correction and provide insight on cellular mechanisms of QT adaptation.     

Electrocardiographic manifestations: long QT Syndrome

Long QT Syndrome is a cardiac disorder caused by an abnormal prolongation of the ventricular repolarization phase. The primary concern in this syndrome is the propensity towards polymorphic ventricular tachycardia and sudden cardiac death. This article presents several cases, highlighting the pathophysiology, clinical presentation, and management of this disorder.     

465名正常成人QT peak离散度研究

目的探讨正常成人QTpeak离散度(QTpd)的正常范围及不同测量者之间的测量误差.方法对465名正常成人以25mm/s纸速记录常规12导联同步心电图.测量QTpd及QTd并比较不同测量者之间QTpd的测量误差.结果最小QTpeak79%出现于V2导联,最大QTpeak43%出现于V6导联、37%出现于aVF导联.465名正常成人QTpd为10ms～55ms[(30±10)ms],不同测量者之间测量结果差异无显著性,QTpd与QTd结果的相关性好.结论465名正常成人QTpd为10ms～55ms[(30±10)ms].12导联同步心电图测量QTpd具有简单、准确的优点.     

QT Sensing Rate Responsive Pacing During Subacute Bacterial Endocarditis: A Case Report

A 63-year-old woman treated with a QT sensing rate responsive pacemaker following aortic valve replacement developed late subacute bacterial endocarditis. During febrile periods, associated with systemic upset, pacing was physiological as evidenced by an increased heart rate during pyrexia and a decrease when afebrile.     

急性心肌梗死静脉溶栓治疗对QT离散度的影响

目的 :探讨急性心肌梗死溶栓治疗对QT离散度及近期预后的影响。方法 :观察急性心肌梗死发病 12h内接受静脉溶栓治疗的 78例患者 ,按溶栓后冠脉有无再通分为再通组 (5 0例 )和未再通组 (2 8例 ) ,测定溶栓治疗前后QT离散度 (QTd)、校正的QT离散度 (QTcd) ,并观察两组恶性室性心律失常的发生情况。结果 :溶栓前两组Q T离散度无差异 ,溶栓后QT离散度再通组明显低于未再通组 (P <0 0 5 ) ,恶性室性心律失常溶栓前再通组与未再通组差异无显著意义 (P >0 0 5 ) ,溶栓后再通组显著低于未再通组 (P <0 0 1)。结论 :急性心肌梗死行有效的静脉溶栓治疗可缩短QTd、QTcd ,改善心肌电稳定性 ,并减少恶性室性心律失常的发生。     

Clinical Value of Electrocardiographic Parameters in Genotyped Individuals with Familial Long QT Syndrome

MOENNIG, G., et al. : Clinical Value of Electrocardiographic Parameters in Genotyped Individuals with Familial Long QT Syndrome. Rate corrected QT interval (QTc) and QT dispersion (QTd) have been suggested as markers of an increased propensity to arrhythmic events and efficacy of therapy in patients with long QT syndrome (LQTS). To evaluate whether QTc and QTd correlate to genetic status and clinical symptoms in LQTS patients and their relatives, ECGs of 116 genotyped individuals were analyzed. JTc and QTc were longest in symptomatic patients (  n = 28  ). Both QTd and JTd were significantly higher in symptomatic patients than in asymptomatic (  n = 29  ) or unaffected family members (  n = 59  ). The product of QTd/JTd and QTc/JTc was significantly different among all three groups. Both dispersion and product put additional and independent power on identification of mutation carriers when adjusted for sex and age in a logistic regression analysis. Thus, symptomatic patients with LQTS show marked inhomogenity of repolarization in the surface ECG. QT dispersion and QT product might be helpful in finding LQTS mutation carriers and might serve as additional ECG tools to identify asymptomatic LQTS patients.     

QT Interval Dispersion and its Clinical Utility

QT dispersion as a measure ofin-terlead variations of QT interval duration in the surface 12-lead ECG is believed to reflect regional differences in repolarization heterogeneity and thus, may provide an indirect marker of arrhythmogenicity. Methodology for determining QT dispersion and reproducibility of this parameter vary significantly between studies and, together with some other unresolved problems witb QT dispersion assessment, often lead to contradictory suggestions about potential clinical utility of this parameter. The results of our own study in 213 survivors of myocardial infarction, together with a comprehensive review of the literature, suggest that most of these inconsistencies reflect incomplete understanding of electrocardiographic correlates of both normal and abnormal ventricular repolarization. The application of more objective techniques, such as spectral analysis or combined assessment of different parameters (e.g., area beneath the T wave and its symmetricity) may add a new dimension to the noninvasive assessment of ventricular repolarization.     

QT Interval in Children with Sensory Neural Hearing Loss

EL HABBAL, M.H., et al. : QT Interval in Children with Sensory Neural Hearing Loss. Long QT syndrome was first described in children with congenital sensory neural hearing loss (SNHL). The deafness was attributed to abnormalities in potassium ion channels of the inner ear. Similar channels are present in the heart and its dysfunction causes long QT syndrome. Whether congenital SNHL is associated with prolonged QT is unknown. This study examined 52 patients (median age 8.35 years, range 0.21–17.42 years) with SNHL and compared them to 63 healthy children (median age 10.2 years; range 0.67–19 years). An observer, who was blinded from the presence or absence of SNHL, measured QT, QTc intervals and dispersions from a standard 12‐lead electrocardiogram. To assess the cardiac autonomic enervation, power spectral analysis of heart rate variability was determined using a 24‐hour ambulatory heart rate monitor and was expressed as high (HF) to low frequency (LF) ratio. Left ventricular size and functions were evaluated by using two‐dimensional echocardiography. The medians (and ranges) of QT intervals were 340 ms (230–420 ms) in patients and 320 ms (240–386 ms) in the control group (P < 0.01 ). The QTc was longer in patients with SNHL (median 417 ms, range 384–490 ms) than in controls (median 388 ms, range 325–432 ms, P < 0.001 ). QT dispersions in SNHL were higher (median .038 ms, range 00–11 ms) than controls (median 27 ms, range 00–52 ms, P < 0.001 ). T wave inversion (n = 16 ) and alternans (n = 3 ) occurred in patients with SNHL. Heart rates were similar in both groups. Some deaf patients (n = 8 ) had dizzy episodes with a QTc > 440 ms. The HF:LF ratio was 1.32 (0.516–2.33) in deaf patients and 1.428 (0.67–2.3) in the control group (P > 0.1 ). Left ventricular size and functions were similar and normal in deaf patients and controls. In children, congenital SNHL is associated with a prolonged QT interval.     

Comparative Reproducibility of QT, QT Peak, and T Peak-T End Intervals and Dispersion in Normal Subjects, Patients with Myocardial Infarction, and Patients with Hypertrophic Cardiomyopathy

Abnormal repolarizaiion is associated with arrhythmogenesis. Because of controversies in existing methodology, new computerized methods may provide more reliable tools for the noninvasive assessment of myocardial repolarization from the surface electrocardiogram (ECC). Measurement of the interval between the peak and the end of the T wave (TpTe interval) has been suggested for the detection of repolarization abnormalities, but its clinical value has not been fully studied. The intrasubject reproducibility and reliability of automatic measurements of QT, QT peak, and TpTe interval and dispersion were assessed in 70 normal subjects, 49 patients with acute myocardial infarction (5th day; MI), and 37 patients with hypertrophic cardiomyopathy (HC). Measurements were performed automatically in a set of 10 ECCs obtained from each subject using a commercial software package (Marquette Medical Systems, Milwaukee, WI, U.S.A.). Compared to normal subjects, all intervals were significantly longer in HC patients (P < 0.001 for QT and QTp; p < 0.05 for TpTe); in MI patients, this difference was only significant for the maximum QT and QTp intervals (P < 0.05). In both patient groups, the QT and QTp dispersion was significantly greater compared to normal subjects (P < 0.05) but no consistent difference was observed in the TpTe dispersion among all three groups. In all subjects, the reproducibility of automatic measurement of QT and QTp intervals was high (coefficient of variation, CV, 1%-2%) and slightly lower for that of TpTe interval (2%–5%; p < 0.05). The reproducibility of QT, QTp, and TpTe dispersion was lower (12%–24%, 18%–28%, 16%–23% in normal subjects, MI and HC patients, respectively). The reliability of automatic measurement of QT, QTp, and TpTe intervals is high but the reproducibility of the repeated measurements of QT, QTp and TpTe dispersion is comparatively low.     

Effects of aging and gender on QT dispersion in an overtly healthy population

The objective of this study was to measure the normal variation of QT dispersion (QTd) with respect to age and gender. The QT interval is a measure of the duration of ventricular depolarization and repolarization, while the QTd is a measure of the variability of the ventricular recovery time. The QTd has been suggested as a means of identifying those patients at risk for sustained ventricular tachyarrythmias and sudden cardiac death (SCD). A total of 250 patients (120 women, 130 men; age range 20-86 years) were recruited for this study. The QT intervals were measured in each of the 12 standard leads of the electrocardiogram. Data are presented as mean (mu) +/- SD. The QTd did not vary significantly within the same gender. A significant difference (P < 0.001) was noted in QTd between men (age [mu] = 53.3 +/- 15.6 years, QTd = 0.044 +/- 0.019 s) and women (age [mu] = 52.1 +/- 15.1 years, QTd = 0.034 +/- 0.015 s). Overall, men had a greater QTd, while women had a longer QT. In conclusion, we found that men had a longer QTd, which may explain the increased risk of SCD. However, women have a longer QT interval with a smaller QTd. A longer QTmin, as opposed to a longer QTmax, is responsible for the shorter QTd in women. This longer QTmin in women may predispose to an increased risk of drug induced torsades de pointes.     

Gender Effects on Novel Time Domain Parameters of Ventricular Repolarization Inhomogeneity

Introduction: Parameters of ventricular repolarization variability are increasingly being used in an attempt to understand better and predict the occurrence of ventricular tachycardia. Nevertheless, some of the measures used have thus far not been analyzed regarding gender differences in a large group of healthy subjects. Furthermore, new parameters might give further insight.
Methods and Results: We investigated 139 healthy volunteers (mean age 41.6 ± 15.3 years, range 20–77, median 40.0 years, 76 women) without evidence of organic cardiac disease. Mean RR interval and established time domain parameters of heart rate variability (rMSSD; SDNN) were measured for each subject. Beat-to-beat QT interval and time-domain QT interval variability were analyzed. Characteristics of the QT interval and QT interval variability were determined as hourly mean values. The standard deviation of all QT intervals/hour (SDQT) and the standard deviation of all QTc intervals/hour (SDQTc) were used to measure QT interval variability. Four novel ratios of repolarization inhomogeneity (VRI: SDQT/SDNN; VR II: SDQT/rMSSD; VR III: SDQTc/SDNN; VR IV: SDQTc/rMSSD) were introduced. Female subjects exhibited significantly higher values in all four ratios of variability.
Conclusion: The obvious gender differences in repolarization inhomogeneity found in this study might be valuable in better understanding differences between men and women in the genesis of ventricular tachycardia.     

Impact of electrocardiogram recording format on QT interval measurement and QT dispersion assessment

The aim of this study was to determine the effect of recording conditions on the operator dependent measures of QT dispersion in patients with known and/or suspected repolarization abnormalities. Among several methods for risk stratification, QT dispersion has been suggested as a simple estimate of repolarization abnormalities. In a cohort of high and low risk patients, different components of the repolarization process were assessed in the 12-lead ECG using three different paper speeds and amplifier gains. To assess measurement error and reproducibility, a straight line was repeatedly measured. The operator error was 0.675 +/- 0.02 mm and the repeatability of the measurement error was 31 +/- 6%. The QT interval was most frequently measurable in V2-V5. Depending on the lead selected for analysis, the incidence of visible U waves was greatest in the precordial leads with high amplifier gain and low paper speed, strongly affecting QT interval measurement. The timing of the onset of the QRS complex (QRS onset dispersion) or offset of the T wave was strongly dependent on the paper speed. Paper speed, but not amplifier gain, had a significant shortening effect on the measurement of the maximum QT interval. As QT interval measurement in each ECG lead incorporates QRS onset and T wave offset (depending on the number of visible U waves), the dispersion of each of these parameters significantly affected QT dispersion. Thus, QT dispersion appears to reflect merely the presence of more complex repolarization patterns in patients at risk of arrhythmias.     

Utility of QT interval corrected by Rautaharju method to predict drug-induced torsade de pointes

Introduction: New QT correction formulae derived from large populations are available such as Rautaharju’s [QTcRTH?=?QT * (120?+?HR)/180] and Dmitrienko’s [QTcDMT?=?QT/RR^0.413]. These formulae were derived from 57,595 and 13,039 cases, respectively. Recently, a study has shown that they did not experience errors across a wide range of heart rates compared to others.

Objectives: (1) To determine the best cut-off value of QTcRTH and QTcDMT as a predictor of torsade de pointes (TdP) and (2) to compare the sensitivity and specificity using the cut-off value of QTcRTH with those of the QTcBazett (QTcBZT), QTcFridericia (QTcFRD), and QT nomogram.

Methods: Data were derived from two data sets. All cases aged over 18 years with an exposure to QT-prolonging drugs. Group-1, all cases developed TdP. Data in Group-1 were obtained from systematic review of reported cases from Medline since its establishment until 10 December 2015. Group-2 is composed of those who overdosed on QT prolonging drugs but did not develop TdP. This data set was previously extracted from a chart review of three medical centers from January 2008 to December 2010. Data from both groups were used to calculate QTcRTH and QTcDMT. The cut-off values from QTcRTH and QTcDMT that provided the best sensitivity and specificity to predict TdP were then selected. The same method was applied to find those values from QTcBZT, QTcFRD, and QT nomogram. The receiver operating characteristic curve (ROC) was applied where appropriate.

Results: Group-1, 230 cases of drug-induced TdP were included from the systematic review of Medline. Group-2 (control group), which did not develop TdP, consisted of 292 cases. After applying all of the correction methods to the two datasets, the best cut-off values that provided the best accuracy (Ac) with the best sensitivity (Sn) and specificity (Sp) for each formula were as follows: QTcRTH at 477 milliseconds (ms), Ac?=?89.08%, Sn?=?91.30% (95%CI?=?86.89–94.61), Sp?=?87.33%(95%CI?=?82.96–90.92); QTcDMT at 475?ms, Ac?=?88.31%, Sn?=91.30% (95%CI?=?86.89–94.61), Sp?=?85.96%(95%CI?=?81.44–89.73); QTcBZT at 490?ms, Ac?=?86.97%, Sn?=?88.26% (95%CI?=?83.38–92.12), Sp?=?85.96% (95%CI?=?81.44–89.73); QTcFRD at 473?ms, Ac?=?88.89%, Sn?=?89.13% (95%CI?=?84.37–92.84), Sp =88.70% (95%CI?=?84.50–92.09). We found a significant difference (p-value?=?0.0020) between area under the ROC of the QTcRTH (0.9433) and QTcBZT (0.9225) but not QTcFRD (0.9338). The Ac, Sn, and Sp of the QT nomogram were 89.08%, 91.30% (95%CI?=?86.89–94.61), and 87.33% (95%CI?=?82.96–90.92), respectively, and they were all equal to those of QTcRTH.

Conclusion: Rautaharju method not only produced minimal errors for QT interval correction but also at QTcRTH 477?ms, it could predict TdP as accurately as QT nomogram and was better than the QTcBZT.     

Congestive Heart Failure and VVI Pacing Mode: Dynamic Behavior of the Dispersion of Ventricular Repolarization

Dynamic Behavior of the Dispersion of Ventricular Repolarization. The aim of this study was to evaluate the circadian variation in the spatial dispersion of ventricular repolarization in continuously paced patients with congestive heart failure (CHF). Fourteen patients (10 males, 4 females, aged 65 ± 5 years) with CHF due to dilated cardiomyopathy (DCM) and an echocardiographic ejection fraction of 28%± 3% were studied. All patients underwent AV functional RF ablation and permanent pacemaker implantation for drug refractory chronic atrial fibrillation (AF). Patients were evaluated at 1 month postimplant with a three-channel 24-hour Holter monitor, using the three plane Frank orthogonal leads (X, Y, and Z), in VVI pacing mode at 70 beats/min. For each hour, the mean value of spike-T interval dispersion of the first five beats was measured. The control group consisted of 20 patients without structural heart disease, but with AF and complete AV block, continuously paced in WI mode at 70 beats/min. The dispersion of the spike-T interval had a circadian behavior in the study population, with higher values at night and lower during the daytime. During the daytime, the mean value of spike-T interval dispersion was 39 ± 5 ms and during the nighttime it was 45 ± 7 ms (P = 0.003). Such a difference between day and night was not found in the control group (38 ± 6 ms and 40 ± 8 ms, respectively, P = NS), In the daytime period the mean value of spike-T interval dispersion of our study population was comparable to that of the control group (P = NS), while during the nighttime it was significantly higher (P = 0.0004). In conclusion, by evaluating the dispersion of ventricular repolarization in two dimensions, space and time, a circadian variation was found in paced patients with CHF due to DCM. The increased QT dispersion in these patients during the nighttime period was attributed to different effects of vagal activity in normal and abnormal myocardial areas.     

Monitoring the corrected QT in the acute care setting: A comparison of the 12‑lead ECG and bedside monitor

Introduction

Prolongation of the QT interval is a well-recognized complication associated with many commonly used medications. Emergency Department monitoring of the corrected QT (QTc) both before and after medication administration is typically performed using the 12?lead electrocardiogram (ECG). The purpose of this study is to compare the QTc reported on the 12?lead ECG to that reported by single brand of bedside monitor.

Dispersion of QT Intervals: A Measure of Dispersion of Repolarization or Simply a Projection Effect?

QT interval dispersion may provide little information about repolarization dispersion. Some clinical measurements demonstrate an association between high QT interval dispersion and high morbidity and mortality, but what is being measured is not clear. This study was designed to help resolve this dilemma. We compared the association between different clinical measures of QT interval dispersion and the ECG lead amplitudes derived from a heart vector model of repolarization with no repolarization dispersion whatsoever. We compared our clinical QT interval dispersion data obtained from 25 subjects without cardiac disease with similar data from published studies, and correlated these QT dispersion results with the distribution of lead amplitudes derived from the projection of the heart vector onto the body surface during repolarization. Published results were available for mean relative QT intervals and mean differences from the maximum QT interval. The leads were derived from Uijen and Dower lead vector data. Using the Uijen lead vector data, the correlation between measurements of dispersion and derived lead amplitudes ranged from 0.78 to 0.99 for limb leads, and using the Dower values ranged from 0.81 to 0.94 for the precordial leads. These results show a clear association between the measured QT interval dispersion and the variation in ECG lead amplitudes derived from a simple heart vector model of repolarization with no regional information. Therefore, measured QT dispersion is related mostly to a projection effect and is not a true measure of repolarization dispersion. Our existing interpretation of QT dispersion must be reexamined, and other measurements that provide true repolarization dispersion data investigated.     

Malfunction of the automatic slope adjustment of the QT sensor in patients with normal QT intervals

DDDR pacemakers with QT driven sensor algorithms may be susceptible to inappropriate pacemaker tachycardia when implanted into patients who have a relatively extended cardiac repolarization. The inability to detect and measure the QT interval at near maximum sensor rate, results in an inappropriate adjustment of the automatic QT slope. Triggering pacemaker induced tachycardia.     

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.     

QT Interval and QT Dispersion Measured with the Threshold Method Depend on Threshold Level

Various computerized methods with multiple parameter options for measurements of the QT interval now are available. The optimum parameter setting for most algorithms is not known. This study evaluated the influence of the threshold level applied on the T wave differential on the QT interval and its dispersion measured in normal and abnormal electrocardiograms (ECGs). Seven hundred sixty ECGs recorded in 76 normal subjects and 630 in 63 patients with hypertrophic cardiomyopathy (HCM) (10 consecutive recordings in each individual) were analyzed. In each lead of each ECG, the QT interval was measured by the threshold method applied to the first differential of the T wave. The threshold level was varied between 5% and 30% of the T wave maximum in 1% steps, resulting in 26 different choices of QT measurements. With each choice the maximum QTc and the QT dispersion (QTd, standard deviation of the QT in all 12 leads) were obtained for each recording. The maximum QTc was significantly longer in HCM patients than in normal subjects (P < 0.001) at all threshold levels except between 5% and 7%. The QTd was significantly greater in HCM patients at all threshold levels. The QTc and QTd changed significantly with the threshold level. The maximum QTc varied up to 60 ms in normal subjects and up to 70 ms in HCM patients, depending on the threshold level. Thus, the QT intervai and its dispersion measured with the threshold method applied to the first T wave differential depended significantly on the threshold level in both normal and diseased hearts. All programmable options of available automatic instruments should be examined carefully before any study, and all algorithmic details should be systematically presented.