The normal duration of the Q-T interval

The optimal QTc selection in patients of acute myocardial infarction with poor perioperative prognosis

BACKGROUND

The predictive utility of QTc values, calculated through various correction formulas for the incidence of postoperative major adverse cardiovascular and cerebrovascular events (MACCE) in patients experiencing acute myocardial infarction (AMI), warrants further exploration. This study endeavors to ascertain the predictive accuracy of disparate QTc values for MACCE occurrences in patients with perioperative AMI.

METHODS

A retrospective cohort of three hundred fourteen AMI patients, comprising 81 instances of in-hospital MACCE and 233 controls, was assembled, with comprehensive collection of baseline demographic and clinical data. QTc values were derived employing the correction formulas of Bazett, Fridericia, Hodges, Ashman, Framingham, Schlamowitz, Dmitrienko, Rautaharju, and Sarma. Analytical methods encompassed comparative statistics, Spearman correlation analysis, binary logistic regression models, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA).

RESULTS

QTc values were significantly elevated in the MACCE cohort compared to controls (P < 0.05). Spearman's correlation analysis between heart rate and QTc revealed a modest positive correlation for the Sarma formula (QTcBaz) (ρ = 0.46, P < 0.001). Within the multifactorial binary logistic regression, each QTc variant emerged as an independent risk factor for MACCE, with the Sarma formula-derived QTc (QTcSar) presenting the highest hazard ratio (OR = 1.025). ROC curve analysis identified QTcSar with a threshold of 446 ms as yielding the superior predictive capacity (AUC = 0.734), demonstrating a sensitivity of 60.5% and a specificity of 82.8%. DCA indicated positive net benefits for QTcSar at high-risk thresholds ranging from 0 to 0.66 and 0.71-0.96, with QTcBaz, prevalent in clinical settings, showing positive net benefits at thresholds extending to 0-0.99.

CONCLUSION

For perioperative AMI patients, QTcSar proves more advantageous in monitoring QTc intervals compared to alternative QT correction formulas, offering enhanced predictive prowess for subsequent MACCE incidents.

Influence of heart rate correction formulas on QTc interval stability

Monitoring of QTc interval is mandated in different clinical conditions. Nevertheless, intra-subject variability of QTc intervals reduces the clinical utility of QTc monitoring strategies. Since this variability is partly related to QT heart rate correction, 10 different heart rate corrections (Bazett, Fridericia, Dmitrienko, Framingham, Schlamowitz, Hodges, Ashman, Rautaharju, Sarma, and Rabkin) were applied to 452,440 ECG measurements made in 539 healthy volunteers (259 females, mean age 33.3 ± 8.4 years). For each correction formula, the short term (5-min time-points) and long-term (day-time hours) variability of rate corrected QT values (QTc) was investigated together with the comparisons of the QTc values with individually corrected QTcI values obtained by subject-specific modelling of the QT/RR relationship and hysteresis. The results showed that (a) both in terms of short-term and long-term QTc variability, Bazett correction led to QTc values that were more variable than the results of other corrections (p < 0.00001 for all), (b) the QTc variability by Fridericia and Framingham corrections were not systematically different from each other but were lower than the results of other corrections (p-value between 0.033 and < 0.00001), and (c) on average, Bazett QTc values departed from QTcI intervals more than the QTc values of other corrections. The study concludes that (a) previous suggestions that Bazett correction should no longer be used in clinical practice are fully justified, (b) replacing Bazett correction with Fridericia and/or Framingham corrections would improve clinical QTc monitoring, (c) heart rate stability is needed for valid QTc assessment, and (d) development of further QTc corrections for day-to-day use is not warranted.

Effects of Gender on Electrocardiography in Subjects with Shortened Ventricular Depolarization (QRS)

BACKGROUND

Distinctions between electrocardiograms of female and male subjects have been recognized for many years. Due to these differences, arrhythmias in each gender have a tendency to differ. In our study, we aimed to compare electrocardiography intervals between men and women with short QRS durations.

METHODS

Subjects with a QRS interval of ≤80 ms were included in the study. Patients were grouped by gender and the parameters were compared. Patients with diseases that might affect QRS interval and/or who were on medications were excluded. The electrocardiogram intervals of the subjects were measured, Holter monitors were placed, and parameters of time-based heart rate variation were analyzed.

RESULTS

A total of 100 patients (55% female) were included in the study. According to statistical analysis, no significant difference between the genders was observed in the heart rate or in the parameters, such as QT, JT, JTp, and TpTe intervals or heart rate-corrected QTc, JTc, JTpc, and TpTec intervals, which affect repolarization and are known to be arrhythmia precursors by shortening or elongation. No statistically significant difference was found between the two groups for the parameters of heart rate variability time measures (SDNN, SDANN, rMSSD, and pNN50).

CONCLUSION

We observed that when the QRS interval gets shorter, repolarization differences between the genders disappear. New studies are required on this subject.

The association of premature ovarian failure with ventricular repolarization dynamics evaluated by QT dynamicity

AIMS

The association between premature ovarian failure (POF) and cardiovascular diseases has been investigated in a few studies, but none have looked at ventricular repolarization abnormalities in these patients. In this study, we aimed to evaluate the ventricular repolarization by QT dynamicity in patients with POF.

METHODS AND RESULTS

We enrolled 26 female patients (mean age 37.5 ± 10.1 years) with primary POF and 31 healthy female subjects (mean age 37.5 ± 9.0 years). The linear regression slopes of the QT interval measured to the apex and to the end of the T-wave plotted against RR intervals (QTapex/RR and QTend/RR slopes, respectively) were calculated from 24 h Holter recordings using a standard algorithm. QTapex/RR and QTend/RR slopes were more steeper in the POF patients in contrary to healthy control subjects (QTapex/RR = 0.184 ± 0.022 vs. 0.131 ± 0.019, P < 0.001; QTend/RR = 0.164 ± 0.021 vs. 0.128 ± 0.018, P < 0.001). Pearson's correlation analyses revealed a stronger negative correlation between oestradiol (E2) and QTapex/RR (r = -0.715, P < 0.001). There was also a moderate negative correlation between E2 and QTend/RR (r = -0.537, P < 0.001). Serum follicle-stimulating hormone level was positively correlated with QTapex/RR (r = 0.681, P < 0.001) and QTend/RR (r = 0.531, P < 0.001).

CONCLUSIONS

Our study results suggest that QT dynamicity is impaired in patients with POF despite the absence of overt cardiovascular involvement. Further studies are needed to elucidate the prognostic significance and clinical implications of impaired ventricular repolarization in patients with POF.

MR derived volumetric flow rate waveforms at locations within the common carotid, internal carotid, and basilar arteries

The volumetric flow rate (VFR) waveform over the cardiac cycle in the cerebral vasculature is a significant factor in many studies, which involve cerebrovascular function. Perhaps contrary to expectation, the literature in this area is sparse and the characteristics of blood flow waveforms are ill defined. A better understanding of the variation of blood flow rate and pulsatility may aid our knowledge of risk factors involved in diseases and conditions, such as stroke, arteriovenous malformation, or aneurysm rupture. This study sought to characterise the blood flow waveform over the cardiac cycle at levels within the carotid artery and basilar artery (BA) in a normal cohort. The study cohort consisted of 22 subjects (recruitment age: 20 to 40 years) with no history of vascular disease (median age=26 years, interquartile range=25 to 32 years). Two-dimensional quantitative phase-contrast magnetic resonance imaging was performed on each subject at nine anatomic locations within the carotid artery and BA. Significant differences in pulsatility were present within the carotid tree. Archetypal VFR waveforms were established for this group at the nine locations. A normal individual's VFR waveform at a location within the carotid tree can be estimated by taking the group's archetypal waveform for that location, and scaling by the individual's average flow rate.

Heart rate and catecholamine contribution to QT interval shortening on exercise

BACKGROUND

QT interval shortens with exercise. Some of this shortening is due to an increase in heart rate, and some is due to other effects of exercise, probably mostly neuroendocrine effects. Data from subjects with cardiac transplants have suggested that non-heart rate-related changes in QT interval on exercise are due to the effects of circulating catecholamines.

HYPOTHESIS

We sought to determine whether changes in plasma catecholamine levels with exercise are an important contributor to non-heart rate-related QT interval shortening.

METHODS

Subjects with DDD pacemakers were recruited. Subjects had QT intervals measured at rest, during a low fixed level exercise test designed to increase heart rate to about 110 beats/min, and, after resting, during pacing at a heart rate of 110 beats/min. Catecholamine levels were measured at each stage of the study.

RESULTS

QT interval at rest was 420 +/- 12 ms, during pacing 366 +/- 16 ms, and on exercise 325 +/- 14 ms. This then gave the proportion of QT interval shortening due to heart rate as 68.6 +/- 9.3% of total QT shortening, with the range between 35 and 95.6%. There was no proportionality between the degree of QT interval shortening on exercise that was not due to increases in heart rate and changes in plasma catecholamine levels.

CONCLUSION

Two-thirds of exercise-induced QT interval shortening are due to an increase in heart rate, and one-third to other effects. Changes in plasma catecholamine levels on exercise were not closely related to changes in the QT interval on exercise.

Gender differences in arrhythmias

Electrocardiographic and electrophysiologic differences between men and women have long been noted. Women have a higher intrinsic heart rate than men, along with a longer corrected QT interval and a shorter sinus nodal recovery time. The incidence of and risk factors for a variety of arrhythmias differ between men and women. Atrioventricular nodal reentry tachycardia has a 2:1 female-to-male predominance, while accessory pathways are twice as frequent in men. Although atrial fibrillation is more prevalent in men of all age groups, the absolute numbers of men and women with atrial fibrillation are equal, and the associated morbidity and mortality experienced by women with atrial fibrillation appear to be worse. Women have a lower incidence of sudden cardiac death, and female survivors of sudden cardiac death have a lower frequency of spontaneous or inducible ventricular tachycardia. On the other hand, drug-induced torsade de pointes and symptomatic long QT syndrome have a female predominance. Therefore, greater caution should be used when prescribing QT-prolonging drugs in women. The incidence of arrhythmias is increased during pregnancy, and management of pregnant patients poses a significant challenge. The mechanisms of these gender differences are unclear but may be related to hormonal effects and the shorter QT interval in adult males. Pharmacologic and nonpharmacologic therapies are usually equally efficacious, but the risks of pharmacologic therapy are different in men and women. Atrial fibrillation may be more difficult to treat in women.

Recent advances in understanding sex differences in cardiac repolarization

A number of gender differences exist in the human electrocardiogram (ECG): the P-wave and P-R intervals are slightly longer in men than in women, whilst women have higher resting heart rates than do men, but a longer rate-corrected QT (QT(C)) interval. Women with the LQT1 and LQT2 variants of congenital long-QT syndrome (LQTS) are at greater risk of adverse cardiac events. Similarly, many drugs associated with acquired LQTS have a greater risk of inducing torsades de pointes (TdP) arrhythmia in women than in men. There are also male:female differences in Brugada syndrome, early repolarisation syndrome and sudden cardiac death. The differences in the ECG between men and women, and in particular those relating to the QT interval, have been explored experimentally and provide evidence of differences in the processes underlying ventricular repolarization. The data available from rabbit, canine, rat, mouse and guinea pig models are reviewed and highlight involvement of male:female differences in Ca and K currents, although the possible involvement of rapid and persistent Na current and Na-Ca exchange currents cannot yet be excluded. The mechanisms underlying observed differences remain to be elucidated fully, but are likely to involve the influence of gonadal steroids. With respect to the QT interval and risk of TdP, a range of evidence implicates a protective role of testosterone in male hearts, possibly by both genomic and non-genomic pathways. Evidence regarding oestrogen and progesterone is less unequivocal, although the interplay between these two hormones may influence both repolarization and pro-arrhythmic risk.

Gender significance of ST-segment deviation detected by ambulatory (Holter) monitoring

OBJECTIVE

To evaluate the gender influence in diagnostic and prognostic value of Holter-detected ST-segment deviation.

METHODS

Two-hundred seventy-seven consecutive patients (196 men) who underwent coronary angiography for evaluation of chest pain were studied with 24-h Holter monitoring within 72 h of coronary angiography, and were followed up for 65+/-21 months.

RESULTS

Men had a higher prevalence of coronary artery disease (169 of 196, 86%) compared to that of women (54 of 81, 67%), p<0.00025. Thirty-three (17%) men and 15 (19%) women had ST-segment deviation during 24-h recording. The sensitivity, specificity and positive predictive values of ST-segment deviation (elevation, depression, or both) for the detection of significant coronary artery disease were similar in men and women. The negative predictive values were significantly higher in women than men for ST-segment deviation (36% vs. 15%, p<0.001), ST-segment elevation (35% vs. 14%, p<0.001), and ST-segment depression (34% vs. 15%, p<0.001). Similarly, the diagnostic accuracies were significantly higher in women than men for ST-segment deviation (44% vs. 29%, p<0.025), ST-segment elevation (38% vs. 19%, p<0.001), and ST-segment depression (40% vs. 24%, p<0.025). There was no significant difference in composite end-point of events (mortality, nonfatal myocardial infarction, unstable angina, and coronary revascularization) in men versus women with ST-segment deviation (elevation, depression, or both).

CONCLUSION

Holter-detected ST-segment deviation has a higher negative predictive value and diagnostic accuracy for detection of significant coronary artery disease in women than in men, although the prognostic values are not significantly different between men and women.

Drug-induced torsades de pointes and implications for drug development

Torsades de pointes is a potentially lethal arrhythmia that occasionally appears as an adverse effect of pharmacotherapy. Recently developed understanding of the underlying electrophysiology allows better estimation of the drug-induced risks and explains the failures of older approaches through the surface ECG. This article expresses a consensus reached by an independent academic task force on the physiologic understanding of drug-induced repolarization changes, their preclinical and clinical evaluation, and the risk-to-benefit interpretation of drug-induced torsades de pointes. The consensus of the task force includes suggestions on how to evaluate the risk of torsades within drug development programs. Individual sections of the text discuss the techniques and limitations of methods directed at drug-related ion channel phenomena, investigations aimed at action potentials changes, preclinical studies of phenomena seen only in the whole (or nearly whole) heart, and interpretation of human ECGs obtained in clinical studies. The final section of the text discusses drug-induced torsades within the larger evaluation of drug-related risks and benefits.

Beat-to-beat analysis of the relation between RT and RR intervals in newborns

OBJECTIVE

To evaluate the dynamic RT (QRS apex-end of T wave) rate dependence in newborns.

STUDY DESIGN

A Digital Holter ECG was acquired on day 15 in nine full-term and eight preterm infants. Ten-minute periods were recorded during wakefulness and sleep. The accuracy of fit with RT-RR pairs was individually assessed by 14 regression formulas (r coefficient, Akaike score, residual analysis). The medians of RT and Bazett's RT correction were calculated for each 10 milliseconds of RR.

RESULTS

The mean RR and RT were 429+/-51 and 263+/-18 milliseconds. None of the prediction formulas were sufficiently accurate to describe RT over the whole range of RR (r<0.56). The Bazett correction produced differences of more than 50 milliseconds at different RR. Prematurity, sleep state and heart rate variability did not influence RT-RR relation.

CONCLUSION

None of the parametric formulas were found to be accurate in describing RT rate dependence in newborns.

How to correct the QT interval for the effects of heart rate in clinical studies

Much inter- and intra-subject variability in the QT interval in health and disease is accounted for by differences in heart rate, leading to difficulties when determining the effects of disease and drugs on the QT interval. Traditionally, heart rate correction formulae have been used to overcome this problem in man. However, the commonly used Bazett's heart rate correction formulae (QT=QT(C) radical RR interval) does not remove the effect of heart rate; indeed, it overcorrects at high heart rates. Fredericia's formula (QT=QT(C)x(3) radical RR interval) does remove the effects of heart rate; this is the preferable formula, if one is to be used. However, all formulae make assumptions about the nature of the QT-heart rate relationship, assumptions that may not apply to those with disease or on drugs. A more intellectually rigorous approach to QT interval-heart rate correction is to determine the QT-heart relationship for each individual, using data obtained from exercise tests or 24-h Holter tapes. The best mathematical relationship (linear, exponential, etc.) is obtained from analysis of this data, and is used to determine the QT interval at a heart rate of 60 bpm, the QT(60). The QT(60) measure makes no assumptions about the nature of the QT interval-heart rate relationship, removes the dependence of QT interval on heart rate, and maintains genuine biological differences in the QT interval. It should become the standard in QT interval-heart rate correction.

Familial aggregation of QT-interval variability in a general population: results from the NHLBI Family Heart Study

QT-interval prolongation is associated with increased risk of cardiac death. Although information on genetics and molecular mechanisms of the congenital long QT syndrome is mounting, limited data are available on the genetics of QT interval in the general population. Heart rate adjusted QT intervals (Bazett's QTc, and QT index (QTI)) were assessed by electrocardiography in 2399 members aged 25-91 years of 468 randomly selected families participating in the NHLBI Family Heart Study. Familial correlation and segregation analyses were performed to evaluate the genetics of the variability of QT interval in this population. The parent-offspring (0.14+/-0.03) and sibling (0.18+/-0.03) correlations for age and sex-adjusted QTc were moderate, while the spouse correlation was close to zero (0.09+/-0.06). This suggests that there are familial/genetic influences on QT-interval variability. Segregation analysis results suggest that there is a major effect in addition to heritable multifactorial effects (h2=0.34), but the major effect did not follow Mendelian inheritance. Further adjustments of QTc for other major cardiovascular risk factors did not significantly change the results. Similar results were found for QTI. The QT-interval variation in the general population is influenced by moderate heritable multifactorial effects in addition to a major effect. A major gene effect is not directly supported.

Effects of age and gender on the QT response to exercise

Although gender differences in resting corrected QT intervals have been well documented, the effects of age and exercise on gender differences in QT have not been well characterized. Data were analyzed from 91 healthy volunteers (47 women). Forty-five young subjects (aged 20 to 39 years) and 46 older subjects (61 to 84 years) were recruited. All underwent Bruce protocol stress testing. QT offset and QT peak were measured at exercise stages and during recovery. In a heart rate (HR)-independent analysis, data were divided into HR bins of 10 beats/min. In a HR-dependent analysis, 6 models were used to approximate the QT-RR relation; the best were used to analyze age and gender effects. Women had longer QT intervals than men at a HR < 100 beats/min for QT offset and < 110 beats/min for QT peak. At faster HRs, no significant differences were found. Older subjects had slightly longer QT intervals than the younger group, with a mean difference of 2 ms for QT offset and 9 ms for QT peak. Women had increased constant and slope coefficients. The QT increase in the elderly was relatively small. Gender differences in QT disappear at faster HRs, whereas age differences are smaller but are present throughout exercise, with no significant age-gender interaction. A natural logarithmic model provides the best approximation of the QT-RR relation with exercise, is simple to implement, and should become the preferred method of QT correction.

D0870, an antifungal agent, induces reverse use-dependent QT prolongation in dogs

We previously reported that D0870 induced QT prolongation and sudden death due to torsades de pointes (TdP) in dogs and that catecholamines played an important part in the development of the sudden death. In the present study, we analyzed in detail the ambulatory electrocardiographic recordings obtained from the just-mentioned study to elucidate the mechanism of the onset of TdPs and conducted an in vitro study using isolated canine Purkinje fibers to assess the effect of D0870 on repolarization. The hearts with TdPs observed before the sudden death showed a higher sinus rate for 5 and 10 sec before the onset, a shorter coupling interval, and a higher ventricular tachycardia rate compared with those having the non-sustained TdPs. These findings suggest that D0870-induced fatal TdPs may be provoked by a triggered activity developed from delayed after depolarizations. In contrast, as the pause-dependent, non-sustained TdPs in bradycardia showed a typical "short-long-short" sequence, they may be developed from early afterdepolarization . Moreover, the results of the in vitro study supported our contention that D0870 induced QT prolongation in a reverse use-dependent manner in vivo and suggested that it may inhibit not only rapidly activating delayed rectifier potassium current (Ik(r)) but also L-type Ca current (I(ca-L)).

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.

QT dispersion and early arrhythmic risk during acute myocardial infarction

It has been suggested that QT dispersion (maximal minus minimal QT interval calculated on a standard 12-lead electrocardiogram) could reflect regional variations of ventricular repolarization and could provide a substrate for reentry ventricular arrhythmias. The present study evaluates QT dispersion in patients with acute myocardial infarction, assessing its relation with early severe ventricular arrhythmias and some clinical features. Three hundred three patients with acute myocardial infarction and a control group of 297 healthy subjects were studied. QT and QTc dispersion were determined on the electrocardiogram taken after 12 hours and on days 3 and 10 after symptoms onset and on the electrocardiogram taken in the control group. The average values of QT and QTc dispersions (ms) were as follows: 70.5 +/- 42.5-87 +/- 45.6 (12th hour), 66.7 +/- 37.6-76.8 +/- 43.6 (day 3), 68.8 +/- 42.7-76.8 +/- 42.8 (day 10), versus 43 +/- 13.2-53.9 +/- 16.2 (control group). There were statistically significant differences between QT and QTc dispersion recorded in normal subjects and in each of the three electrocardiograms taken in patients with infarction. A greater QT dispersion was recorded in patients with anterior infarction (78.9 +/- 38.5 vs 64.9 +/- 42.8 in inferior/lateral infarction). In the first 3 days QT dispersion was not different in patients treated and untreated with thrombolysis, whereas on day 10 it was greater in untreated patients (74.9 +/- 45.3 vs 60.5 +/- 37.2). Creatine kinase peak level did not influence QT dispersion. In the first 72 hours of infarction, 37 patients developed ventricular fibrillation or sustained ventricular tachycardia. Higher early values of QT and QTc dispersion were found in patients who developed severe ventricular arrhythmias (107.8 +/- 62 and 124.8 +/- 67.5 ms) than in patients without serious arrhythmias (62.9 +/- 32.2 and 80.1 +/- 37.9 ms). These data suggest that: (1) QT dispersion increased during acute myocardial infarction. (2) The values were higher in the early hours and fell late after infarction with thrombolysis. (3) Greater QT dispersion is associated with severe ventricular arrhythmias.

Arrhythmias and women

The incidence and risk factors for a variety of arrhythmias differ among men and women. Although symptomatic atrial reentrant tachycardias have a female predominance, the reverse is true for atrial fibrillation. Women have a lower incidence of sudden death. On the other hand, drug-induced torsades de pointes and symptomatic long QT syndrome have a female predominance. The incidence of arrhythmias seem to be increased during pregnancy. The mechanisms of these gender differences are unclear but may be related to hormonal effects and the shorter QT interval in men. Pharmacologic and nonpharmacologic therapy are equally efficacious in men and women.

Effects of gender on cardiac arrhythmias

The purpose of this study is to review published data regarding gender differences in cardiac electrophysiology and in the occurrence of clinical arrhythmias. ECG differences between men and women include a faster resting heart rate in women, a longer corrected QT interval, and a lower QT dispersion than in men. The faster resting heart rate in women appears to be primarily related to differences in physical conditioning. The mechanism for the longer corrected QT interval in women is not completely known, but does not appear to be related to acute effects of estrogen or progesterone or differences in autonomic innervation. Women also appear to have a lower incidence of atrial fibrillation, a difference in the age distribution of supraventricular tachycardia, and a lower incidence of sudden death than men. Much of the lower incidence of sudden death in women may relate to a difference in the prevalence of coronary artery disease, but other factors such as inherent differences in repolarization, which may be reflected by a gender difference in the corrected QT interval, also may be operative. The paradox of a longer corrected QT interval and higher incidence of torsades de pointes, but lower population-based incidence of sudden death in women, has not been completely resolved. Further studies will be required to help better understand the basic mechanisms involved in gender differences in electrophysiology and arrhythmias and determine the extent to which these differences have implications for clinical management of cardiac arrhythmias.

QT corrected for heart rate and relation between QT and RR intervals in beagle dogs

The beagle dog has been widely used in cardiovascular research, but the adequacy of QT prediction formulas in dogs over a wide range of RR intervals has not been evaluated sufficiently. We investigated the QT-RR relation in beagles by analysis of the QT and preceding RR intervals obtained from 24-h ambulatory electrocardiograms. The acceptability of 14 QT prediction formulas was evaluated by use of 100-150 selected pairs of QT-RR points per animal in seven male and seven female beagles. The accuracy of fit with the measured data was assessed according to the minimum Akaike information criterion. The best fit was given by the logarithmic and inverse Kovács' formulas among one- and two-parameter linear regression equations, respectively. Exponential formulas produced a better fit than did the linear regression formulas, but are impractical because of the complicated interpretation of parameters due to the nonlinearity. In addition, the results obtained under physiological conditions were also confirmed by those of the pharmacological intervention study with disopyramide. Consequently, we propose a one-parameter logarithmic formula (QTc= log600 x QT/logRR) for correcting the QT interval for a heart rate of 100 bpm and the inverse Kovács' formula for evaluating a reverse-use-dependency of QT prolongation.

Gender-specific differences in the QT interval and the effect of autonomic tone and menstrual cycle in healthy adults

Gender differences in the corrected QT interval have been noted since Bazett's initial description during the 1920s. The mechanism of this gender difference is unknown, and this study was undertaken to evaluate potential autonomic and menstrual cycle effects on the QT interval. The study population consisted of a healthy volunteer sample of 23 women and 20 men. Twelve-lead electrocardiographic determinations were made at rest and following double autonomic blockade (with atropine and propranolol) during the menstrual, follicular, and luteal phases of the menstrual cycle. Men were studied during 3 separate visits as controls. The corrected QT interval at baseline tended to be longer in women than men (421 +/- 16 ms vs 414 +/- 15 ms: p <0.07). Following double autonomic blockade, the corrected QT interval increased to 439 +/- 11 ms: p <0.001). However, the gender difference in corrected QT interval was unchanged (443 +/- 15 ms vs 437 +/- 12 ms). At baseline, there was no significant difference in the corrected QT interval among the 3 phases of the menstrual cycle (421 +/- 10, 423 +/- 18, and 420 +/- 18 in the menstrual, follicular, and luteal phases, respectively) and the corrected QT interval was longer in women than men at each visit. Following double autonomic blockade, the corrected QT interval in women was shorter in the luteal phase (438 +/- 16 ms) versus the menstrual (446 +/- 15 ms) or the follicular phase (444 +/- 13 ms; p <0.05). However, this difference, which was not present at baseline, does not appear to be responsible for the gender difference in the QT interval at rest. In conclusion, our results confirm that the corrected QT interval tends to be longer in women than men. Differences in autonomic tone and menstrual cycle variability in the corrected QT in women at rest do not appear to be responsible for the gender differences in the QT interval. The mechanism responsible for the longer QT interval in women remains to be defined.

Evaluation of five QT correction formulas using a software-assisted method of continuous QT measurement from 24-hour Holter recordings

To evaluate and compare QT correction formulas in healthy subjects, we used 24-hour Holter monitoring because it allows the assessment of QT intervals over a large range of rates. Computer-assisted QT-interval measurements were obtained from 21 subjects. QT-RR relations for individuals and the group were fitted by regression analysis to 5 QT prediction formulas: simple Bazett's, modified Bazett's, linear (Framingham), modified Fridericia's and exponential (Sarma's). There were no significant differences in mean squared residuals between formulas. When using individually calculated regression parameters, each formula gave good or acceptable QT correction over the entire range of RR intervals. Simple Bazett's formula (which uses no regression parameters) was unreliable at high rates. Akaike information criteria rank was: Sarma's, Framingham, modified Bazett's, Fridericia's, and simple Bazett's. When group-based regression parameters were applied to individuals, no formula had a clear advantage over simple Bazett's. We conclude that any formula that invokes regression parameters unique to each individual provides satisfactory QT correction. Determination of these parameters requires long-term recording to obtain an adequate range of rates. Group-based regression parameters give poor correction. When individual parameters cannot be determined, as in a 12-lead electrocardiogram, no formula provides an advantage over the familiar simple Bazett's.

Relationship between QaT and RR intervals in rats, guinea pigs, rabbits, and primates

The ECG is routinely used in many species to monitor effects of drugs. While it is relatively easy to measure both PR and QRS, measurement of QT is complicated by the fact that this interval can change with heart rate. In order to compensate for variations in QT due to variations in heart rate, various correction factors have been used, including those of Bazett and Hodges. Such corrections were devised for humans and may have limited applicability in other species. We have systematically varied heart rate in anesthetized rats, guinea pigs, rabbits, and primates using procedures such as vagal stimulation, direct atrial stimulation, injection of cold saline and drugs, including anesthetics, and measured the resulting QT (as QaT and related measures). Over a wide range of heart rates we tested various formulas for their value in correcting for the variation in QT interval associated with changes in heart rate. In rats the "QT" interval did not change appreciably with heart rate. In the other species QaT intervals varied in the expected manner with heart rate in that they decreased with tachycardia and increased with bradycardia. Various formulas were tested for their utility in correcting measures of the QaT interval (QaTc) for changes in heart rate in guinea pigs, rabbits, and primates. In species other than rats, there was little difference between the various formulas in their ability to increase the precision of QaTc and the normality of its distribution, although the best correction is that derived from the regression (either linear, square root, or polynomial) equation relating RR and QaT.

The electrocardiographic changes in kwashiorkor

An electrocardiogram (ECG), serum electrolytes, serum albumin, haematocrit and cardiothoracic ratio were recorded in 90 Nigerian children with kwashiorkor and 90 age- and sex-matched controls. The ECG abnormalities observed among the study group included sinus tachycardia (91%), low QRS amplitude (100%) and prolonged QTc intervals (17%). Other ECG abnormalities noted were short QTc intervals (three children), prolonged PR intervals (four children) and right axis deviation (two children). The mean serum sodium, potassium, calcium, albumin, haematocrit and cardiothoracic ratio were significantly lower in children with kwashiorkor than in the controls (p < 0.001). The correlation between the QRS amplitude and serum potassium and calcium was poor (p > 0.05). Also, there was poor correlation between heart rate and haematocrit (p > 0.05) and between QTc intervals and serum calcium and potassium (p > 0.05). However, the correlation between the QRS amplitude and cardiothoracic ratio was good (r = 0.91, p < 0.001). These findings suggest that the ECG changes in kwashiorkor are due to myocardial atrophy.

QT intervals at heart rates from 50 to 120 beats per minute during 24-hour electrocardiographic recordings in 100 healthy men. Effects of atenolol

BACKGROUND

Conflicting reports about changes in QT intervals suggest that QT values should be compared at similar heart rates.

METHODS AND RESULTS

Relations between QT and RR intervals were determined after measurement of QT values by Holter recording at heart rates of 50, 60, 70, 80, 90, 100, 110, and 120 beats per minute in 100 healthy young men. Fifteen men underwent a second recording during acute treatment with the beta-blocking agent atenolol. At heart rates between 80 and 120 beats per minute, the QT interval was significantly longer (from 9 to 16 msec), and at a heart rate of 50 beats per minute significantly shorter (26 msec), than values calculated from Bazett's formula. Sleep prolonged QT values by 18 msec at a heart rate of 60 beats per minute and by 21 msec at a heart rate of 50 beats per minute compared with the waking state. Atenolol lengthened QT intervals significantly (by 11-14 msec) at heart rates between 90 and 110 beats per minute and shortened them (by 12 msec) at a heart rate of 60 beats per minute. During sleep, QT intervals were the same before and after atenolol.

CONCLUSIONS

The method of plotting QT against RR intervals after measurement of QT values at similar stable spontaneous heart rates before and after intervention allows changes in autonomic state and heart rate to be taken into account. By this method, QT values can be compared without distortion effects caused by correction formulas.

An improved method for adjusting the QT interval for heart rate (the Framingham Heart Study)

Several formulas have been proposed to adjust the QT interval for heart rate, the most commonly used being the QT correction formula (QTc = QT/square root of RR) proposed in 1920 by Bazett. The QTc formula was derived from observations in only 39 young subjects. Recently, the adequacy of Bazett's formula has been questioned. To evaluate the heart rate QT association, the QT interval was measured on the initial baseline electrocardiogram of 5,018 subjects (2,239 men and 2,779 women) from the Framingham Heart Study with a mean age of 44 years (range 28 to 62). Persons with coronary artery disease were excluded. A linear regression model was developed for correcting QT according to RR cycle length. The large sample allowed for subdivision of the population into sex-specific deciles of RR intervals and for comparison of QT, Bazett's QTc and linear corrected QT (QTLC). The mean RR interval was 0.81 second (range 0.5 to 1.47) heart rate 74 beats/min (range 41 to 120), and mean QT was 0.35 second (range 0.24 to 0.49) in men and 0.36 second (range 0.26 to 0.48) in women. The linear regression model yielded a correction formula (for a reference RR interval of 1 second): QTLC = QT + 0.154 (1-RR) that applies for men and women. This equation corrects QT more reliably than the Bazett's formula, which overcorrects the QT interval at fast heart rates and undercorrects it at low heart rates. Lower and upper limits of normal QT values in relation to RR were generated.(ABSTRACT TRUNCATED AT 250 WORDS)

Relation between QT and RR intervals during exercise testing in atrial fibrillation

The ability to predict the RR-QT relation over a range of heart rates was evaluated in 10 patients with atrial fibrillation (AF) and in 10 control subjects in sinus rhythm. The data from each subject were fitted by regression into 3 QT prediction formulas (the square root formula of Bazett, the cube root formula of Fridericia and the exponential formula of Sarma) applied in standard form and modified with a weighted average of the preceding 5 RR intervals. The goodness-of-fit of each formula was evaluated using mean square residual and Akaike information criterion. For AF, the mean square residuals did not differ among the 3 standard QT prediction formulas (Bazett 624 +/- 274, Fridericia 625 +/- 274 and Sarma 611 +/- 267) and among the 3 modified QT prediction formulas (Bazett 507 +/- 325, Fridericia 496 +/- 255 and Sarma 495 +/- 328). The weighted average modification produced a significant decrease in mean square residuals for all 3 equations (p less than 0.05) in all patients. These findings were confirmed by Akaike information criterion. Goodness-of-fit in sinus rhythm was similar to previously published reports, and significantly better than the fit for AF (p less than 0.0001). For 9 of the 10 patients with AF, sinus rhythm electrocardiograms were obtained and the above regression equations were used to predict QT intervals.(ABSTRACT TRUNCATED AT 250 WORDS)

Cumulative effects of cycle length on ventricular refractoriness in man

This study examined the time course of changes of ventricular effective refractory period (VERP) following an abrupt change of cycle length (CL) in man. Stimulation at the right ventricular apex consisted of 19 cycles of an initial CL, followed by a variable number of cycles (0 to 50 cycles) of a new CL, and an extrastimulus to test for VERP. Fifteen patients were enrolled in each part of the study. In part A, initial CLs were long (mean +/- standard error, 650 +/- 20 msec) and new CLs were short (325 +/- 10 msec). VERPs were 259 +/- 6 msec after the long cycles, 238 +/- 6 msec after one short cycle (p less than 0.05), 224 +/- 5 msec after 10 short cycles, and 210 +/- 6 msec after 50 short cycles (p less than 0.05 versus 1 or 10 short cycles). Thus 43% of total shortening of VERP occurred in the first short cycle and 57% occurred in subsequent short cycles. In part B, initial CLs were short and new CLs were long. VERPs were 212 +/- 7 msec after the short cycles, 237 +/- 7 msec after one long cycle (p less than 0.05), 239 +/- 7 msec after 10 long cycles, and 247 +/- 7 msec after 50 long cycles (p less than 0.05 versus 1 or 10 long cycles). Thus 71% of total lengthening of VERP occurred in the first long cycle and 29% occurred in subsequent long cycles. In conclusion, following an abrupt change of CL in man, VERP changes markedly in the first new cycle (immediate effect) and then undergoes further, more gradual change over a large number of subsequent cycles (cumulative effects). Cumulative effects appear to be greater following shortening of CL than following lengthening of CL.

Estimation of QT prolongation. A persistent, avoidable error in computer electrocardiography

A pooled community-based population sample of 17,139 North American children, adolescents, and adults aged from birth to 75 years was used to evaluate a variety of one-, two-, and three-parameter formulas for correction of the QT interval for heart rate throughout a wide range of heart rates in sinus rhythm. QT measurements were made by a computer program from simultaneously sampled standard 12-lead or orthogonal XYZ leads, and all QT measurements were visually verified using a high-resolution display terminal. A random subsample of 1,920 was drawn 3 times by allocating 20 subjects to each heart rate subinterval of 1 beat/min, and the performance of a set of 13 QT prediction formulas was compared by ranking them according to the Akaike Information Criterion. The traditional Bazett's square root formula failed at low heart rates and the cube root formula of Fridericia at high rates. None of the linear two-parameter functions of R-R interval or heart rate performed with adequate accuracy. The best one-parameter formula for predicted QT(QTp) was obtained by regressing the inverse of QT on heart rate, with the expression QTp(ms) = 656/(1 + 0.01 H R), and by adding the term 0.4 x Age - 25 for age-related trend correction in males 15-50 years old. Percentile population distributions for the QT index (QTI = (QT/QTp) x 100) produced a convenient and stable 98 percentile normal QT range spanning 10% above and below the population median QTI = 100 in all major subgroups by age, sex, and race.(ABSTRACT TRUNCATED AT 250 WORDS)

Physiologic relation between cardiac cycle and QT duration in healthy volunteers

To determine the relation between QT duration and RR interval on the electrocardiogram, 2 studies were undertaken in 23 young healthy volunteers (mean age 24 years). In study 1, the electrocardiogram (paper speed at 50 mm/s, 800 measurements/subject) was recorded in 11 subjects (5 men, 6 women) at rest, during dynamic exercise and after rapid intravenous injections of isoproterenol (0.2 to 12.8 micrograms), before and after intravenous atropine (2 mg). In study 2, the QT-RR relation was studied at rest and during exercise in 12 subjects (6 men, 6 women) before and after oral propranolol (80 mg). The results confirmed a monoexponential individual relation of the QT and RR intervals during rest and exercise: QT = A-B.Exp (-k.RR). By pooling the RR-QT plots from the 11 subjects in study 1, we found that the measured QT interval = 425-676.Exp (-3.7.10(-3) RR. During isoproterenol-induced tachycardia, QT either did not change or increased and this may indicate an increase in temporal dispersion of ventricular repolarization. Atropine-induced tachycardia produced changes similar to those resulting from exercise testing. Propranolol did not change the QT-RR relation despite a lengthening in RR intervals. These results suggest that physiologic QT-RR adaptation is mainly under parasympathetic control.

The QT interval in atrial fibrillation

The electrocardiogram was recorded for 100 seconds in 50 patients with atrial fibrillation to determine the relations between QT intervals and both the mean and instantaneous ventricular rates. The mean ventricular rate was 94 beats per minute with a mean QT interval of 357 ms. The mean QTc, corrected beat by beat with Bazett's formula, was 444 ms--longer than reported for sinus rhythm. Between subjects, the mean QT interval was linearly related to the mean RR interval, with a slope of +21%. Within all 50 recordings there was a statistically significant correlation between QT intervals and immediately preceding RR intervals, with an average slope of +7%. This within subject QT/RR interval slope was greater at faster mean ventricular rates. In atrial fibrillation, as in sinus rhythm, the QT interval is a function of both the mean ventricular rate and the instantaneous ventricular rate, with the mean ventricular rate predominating; a simple correction of QT intervals for heart rate is therefore inadequate. Comparison of uncorrected QT intervals with those of earlier published series of people in sinus rhythm, however, suggested that atrial fibrillation is associated with prolongation of the mean QT interval.

Evaluation of 10 QT prediction formulas in 881 middle-aged men from the seven countries study: emphasis on the cubic root Fridericia's equation

In 881 middle-aged men from one Italian cohort of the Seven Countries Study, QT and RR intervals were measured in lead 2 from resting ECGs (25 mm/sec) and fitted separately with 10 mathematically different QT prediction formulas. The relative accuracy of fit to data was assessed from the minimum mean-squared residual and the minimum Akaike Information Criterion values. Using the Minnesota code, 588 men had normal (group 1) and 293 had abnormal (group 2) ECGs. A better fit to QT-RR data by all formulas was observed in group 1, compared with group 2. Among one-parameter equations in both groups, the cubic root Fridericia's formula is better suited to fit the data than the Bazett's square root or other formulas. The former compares favorably with multiparameter equations or with the inverse relation and gives the best fit in group 2. Thus the cubic root equation might be more accurate than the square root or several complex formulas for correcting measured QT intervals for cardiac cycle length in middle-aged men.

The QT and QS2 intervals in patients with mitral leaflet prolapse

The QT interval was plotted against the R-R interval in 92 patients with mitral prolapse and 92 age- and sex-matched control subjects. Ten patients (11%) lay above the upper 95% confidence limit for the control group, and analysis of variance confirmed a small group effect (p less than 0.05). Despite this, the mean QT intervals in the two groups differed by only 7 msec and a t test showed no significant difference between the groups. The prevalence of QT prolongation was exaggerated by Bazett's rate correction formula (62%) or historical control groups published by Simonson (58%) or Ashman (70%). Simultaneous QT and QS2 intervals were measured in 67 patients with mitral prolapse. Inversion of the normal QT:QS2 relationship occurred in nine patients (13%) and was more common in the presence of severe mitral regurgitation. It was not associated with an increased prevalence of absolute QT prolongation and was therefore thought to be caused by relative shortening of the QS2 interval. In conclusion, the prevalence of QT prolongation in mitral prolapse is low (11%). The QT:QS2 ratio is unlikely to be a reliable indicator of QT prolongation in these patients.

Effects of quinidine versus procainamide on the QT interval

Eighteen patients were given quinidine and procainamide separately to evaluate whether prolongation of the QT interval by type Ia antiarrhythmic agents is a drug-specific phenomenon. Doses were titrated to achieve standard trough therapeutic levels of quinidine (2 to 5 micrograms/ml) and procainamide (4 to 12 micrograms/ml). In 16 of the 18 patients, the increase in corrected QT interval (QTc) was greater with quinidine than with procainamide, averaging 78 +/- 10 ms (+/- standard error of the mean) with quinidine and 39 +/- 7 ms with procainamide (p less than 0.001). The greater degree of QTc prolongation with quinidine than with procainamide was not due to differences in sinus cycle length, QRS duration, serum potassium level or concomitant drug therapy. Differences in relative drug level did not appear to account for the greater effect of quinidine. Thus, at frequently used plasma levels, quinidine prolongs QTc to a greater degree than does procainamide. This effect does not appear to be due to the comparison of "nonequivalent" drug levels.

Prediction of sudden death from QTc interval prolongation in patients with chronic ischemic heart disease

Although prolongation of QTc interval has been shown to increase the risk of sudden death after recent myocardial infarction, no data exist on the relationship between sudden death and QTc duration in patients with chronic ischemic heart disease. Furthermore, it is not known whether patients with long QTc intervals (greater than or equal to 440 units) have more prevalent coronary risk factors. Thus 141 nonsurvivors (128 with coronary death and 13 with noncoronary death) representing the follow-up deaths of a cohort of 1157 medically treated patients with ischemic heart disease over a four-year period were compared to 141 consecutive long-term survivors of the same cohort. Thirty-one patients were excluded because of drug interactions, bundle-branch block or atrial fibrillation. QTc duration was calculated on the ECG immediately prior to angiography in 62 patients with sudden death, 36 with intermediate death, 13 with noncoronary death and 140 long-term survivors with chronic ischemic heart disease. In addition, in 64 nonsurvivors (58%) in whom more than one yearly follow-up ECG was available, QTc was calculated in the last ECG preceding death (mean of four months before death). These data were compared to those obtained in 140 long-term survivors at the time of last ECG (mean 48 months after enrollment). At the time of angiography, mean QTc intervals were similar in patients who later died of ischemic heart disease and in long-term survivors (423 +/- 35 vs 421 +/- 25 units). No difference in QTc duration was apparent among nonsurvivors with ischemic heart disease. All study patients were divided into normal and long QTc subgroups.(ABSTRACT TRUNCATED AT 250 WORDS)

Diurnal variation of the QT interval--influence of the autonomic nervous system

To assess the influence of diurnal changes in the autonomic nervous system on the QT interval, 24 hour dynamic electrocardiographic monitoring was performed in six pacemaker dependent patients with normally innervated hearts, in six cardiac transplant patients with anatomically denervated hearts (but which respond to circulating catecholamines), and in nine diabetic patients with confirmed autonomic neuropathy. QT and RR intervals from hourly intervals were measured and Bazett's formula was used to correct QT intervals during sinus rhythm. All QT intervals were normalised by dividing by the mean QT for the 24 hours in each patient and were expressed as a percentage. There was pronounced diurnal variation of normalised QT in the patients with normally innervated hearts. QT intervals were longer during sleep than during waking hours (06.00 vs 18.00 h, 102.5% vs 97.8%). Diurnal variation was blunted in the transplant patients (101.3% vs 98.1%) and absent in the diabetic patients (100.0% vs 100.3%). In the normally innervated patients changes were most pronounced at the time of waking (06.00 vs 09.00 h, 102.5% vs 95.4%). There was no change in normalised QT in the transplant and diabetic patients at this time. There was no significant difference between normalised QT for the three groups during sleep, but this variable was shorter in innervated patients during waking hours (for example at 10.00 h, innervated 96.5%, transplant 100.7%, diabetic 100.7%). Diurnal changes of the QT interval may be pronounced in the innervated heart and are dependent on both variations in autonomic tone and concentrations of circulating catecholamines. These changes in repolarisation may be related to the reported diurnal pattern of ventricular arrhythmias.

The QT-sensitive cybernetic pacemaker: a new role for an old parameter?

A critical review of the available data on QT interval is presented to delineate techniques useful to the development of a QT-sensitive cybernetic pacemaker. The reason for the development of this unit stems from the ability of QT prolongation to predict the onset of life-threatening ventricular arrhythmias in some clinical situations; the QT interval is physiologically related to the cardiac cycle length, therefore providing adequate information to drive both ventricular and atrioventricular sequential rate-responsive pacemakers. This unit might also monitor cardiac rhythm and detect the pathophysiologic precursors of advanced grades of ventricular arrhythmias. A therapeutic role, both pharmacologic and electrical, may also be possible in the future. Integration of these concepts and cooperation between interested physicians, technicians and manufactors will be necessary to produce such a unit at a low cost-benefit ratio. The potential clinical application of this pacemaker deserves attention for the prophylaxis and treatment of sudden arrhythmic death.

The duration of the QT interval as a function of heart rate: a derivation based on physical principles and a comparison to measured values

Several quantitatively and qualitatively disparate formulas for the duration of electrical systole (the QT interval) as a function of the R-R interval are reviewed. These are compared by the use of dimensional analysis, which permits rectification of previously published algebraic and dimensional inconsistencies. With one exception, prior developments of formulas have been empiric in nature, with results therefore not based on or necessarily mathematically consistent with basic physical or biologic principles. In order to resolve ambiguity and determine which (if any) of the many proposed formulas is consistent with elementary principles, we began with physical principles as they relate to the results of experiments and derived a mathematical expression for the QT interval as a function of the R-R interval. By making use of equations for the conservation of energy for the heart as a pump and the first law of thermodynamics, a formula of the form QT alpha K'1 + K'2/R-R was derived. This derivation, stemming from first principles and founded on experimental data, does not quantitatively specify the additive (K'1) or multiplicative constant (K'2), but constrains the algebraic relationship of QT as a function of R-R. The formula is comprised of the sum of two terms, a HR (R-R) independent additive constant (K'1) and a term alpha (R-R)-1. The derivation resolves previous qualitative disparaties in proposed formulas and yields a finite limit for QT in the limit of large R-R intervals.(ABSTRACT TRUNCATED AT 250 WORDS)

Prolonged electrical systole and QT greater than QS2 secondary to coronary artery disease

Dyssynchronous depolarization-repolarization in the left ventricular (LV) myocardium may produce QT greater than QS2 or long QT. In 41 patients with coronary artery disease (CAD) and LV aneurysm, 46 patients with CAD and a history of acute myocardial infarction (AMI) but no LV aneurysm, and 52 patients with CAD without previous AMI, QT and QS2 were measured simultaneously at a speed of 100 mm/s within 48 hours of cardiac catheterization. Patients receiving class I antiarrhythmic drugs were excluded. The incidence of QT greater than QS2 was significantly greater in patients with LV aneurysm (71%) than in those with previous AMI (22%) and those with CAD but no previous AMI (20%) (p less than 0.001). Likewise, the incidence of long QT corrected for heart rate was significantly greater in patients with LV aneurysm (54%) than in those with previous AMI (7%) and those with CAD and no previous AMI (6%) (p less than 0.0001). The incidence of QT greater than QS2 in another 19 patients with previous AMI who were receiving digitalis therapy was significantly greater (65%) than in those with previous AMI but not receiving digitalis therapy (22%) (p less than 0.001). The incidence of long QT corrected for heart rate and QT greater than QS2 was not statistically different between patients with previous AMI and those with CAD but no previous AMI. The QT greater than QS2 or long QT in patients with aneurysm is probably a result of dyssynchronous depolarization or repolarization within or in the border zone of the LV aneurysm.(ABSTRACT TRUNCATED AT 250 WORDS)

Time course alterations of QTC interval due to hypaque 76

Sequential measurement of QT interval during left ventricular angiography was made 30 seconds and one, three, five and ten minutes after injection of hypaque 76. The subjects were ten patients found to have normal left ventricles and coronary arteries. Significant QTC prolongation occurred in 30 seconds to one minute in association with marked hypotension and elevation of cardiac output.

The long QT syndrome: a prospective international study

During the past 4 years 196 patients with the idiopathic long QT syndrome were enrolled in a prospective international study conducted to obtain a better understanding of the clinical course of this unusual repolarization disorder. The mean patient age was 24 years, 64% were female, and 88% had family members with QT prolongation. During an average follow-up of 26 months per patient, four patients died suddenly (1.3% per year) and 27 patients had one or more syncopal episodes (8.6% per year). Multivariate analysis identified congenital deafness, history of syncope, female gender, and a documented episode of torsades de pointes or ventricular fibrillation as independent risk factors for postenrollment syncope or sudden death. Two types of treatment (left stellate ganglionectomy and beta-blocker therapy) were associated with a significant reduction in the occurrence of cardiac events during follow-up.