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Quarterly Focus Issue: Heart Rhythm Disorder |

Risk of Fatal Arrhythmic Events in Long QT Syndrome Patients After Syncope FREE

Christian Jons, MD; Arthur J. Moss, MD; Ilan Goldenberg, MD; Judy Liu, MS; Scott McNitt, MS; Wojciech Zareba, MD, PhD; Ming Qi, MD; Jennifer L. Robinson, MS
[+] Author Information

Dr. Moss has received a research grant from Bioreference Labs. Dr. Liu has received a fellowship funded by the Clinical and Translational Science Institute, and a grant from the NIH.Reprint requests and correspondence: Dr. Christian Jons, The Heart Research Follow-up Program, University of Rochester Medical Center, Box 653, Elmwood Avenue, Rochester, New York 14642

American College of Cardiology Foundation

J Am Coll Cardiol. 2010;55(8):783-788. doi:10.1016/j.jacc.2009.11.042
Published online

Objectives  The aim of this study was to identify risk factors for fatal arrhythmias in long QT syndrome (LQTS) patients presenting with syncope.

Background  Syncope is highly predictive for future fatal arrhythmias in the LQTS. However, there are no data regarding risk stratification and management strategies in the high-risk subset of LQTS patients presenting with syncope.

Methods  A total of 1,059 LQTS patients with a corrected QT interval ≥450 ms presenting with syncope as a first symptom were drawn from the International LQTS Registry. Cox proportional hazards regression was used to identify risk factors for a severe arrhythmic events comprising aborted cardiac arrest, appropriate implantable cardioverter-defibrillator therapy, and sudden cardiac death.

Results  The lowest risk was found in patients with only 1 syncopal episode occurring before the start of beta-blocker therapy. In contrast, patients experiencing syncope after starting beta-blocker therapy had a 3.6-fold increase in the risk of severe arrhythmic events (p < 0.001) relative to this low-risk group and displayed a risk of severe arrhythmic events similar to that of patients not treated with beta-blockers. Multiple syncopal episodes occurring before initiation of beta-blocker therapy were associated with an intermediate risk (hazard ratio: 1.8, p < 0.001). The risk of syncope during beta-blocker therapy is high during childhood in both sexes but is higher in women than in men (hazard ratio: 2.3, p < 0.001).

Conclusions  Patients with syncope during beta-blocker therapy are at high risk of life-threatening events, and implantable cardioverter-defibrillator therapy should be considered in these patients. The risk of beta-blocker failure is highest in young children and in women.

Figures in this Article
HR

hazard ratio

ICD

implantable cardioverter-defibrillator

LCTS

left cervicothoracic sympathectomy

LQTS

long QT syndrome

QTc

corrected QT

SAE

severe arrhythmic event

SCD

sudden cardiac death

Long QT syndrome (LQTS) is caused by mutations in genes encoding cardiac potassium and sodium ion channel subunits or cellular structural proteins. Patients often present with symptoms at a young age and are at high risk of nonfatal (syncope) and fatal (sudden cardiac death [SCD]) cardiac events (1). The incidence of syncope in LQTS patients is approximately 5% per year (1), depending on the mutation causing the syndrome (23), whereas the incidence of SCD is much lower, approximately 1.9% per year (1). However, nonfatal events remain the strongest predictor of fatal events in LQTS patients (1,4), and the overall risk of subsequent SCD in an LQTS patient who has experienced a previous episode of syncope is approximately 5% per year (1). Thus, an LQTS patient who presents for clinical assessment after a nonfatal syncopal episode is already at high risk of a subsequent LQTS-related fatal event. Recent studies from the International LQTS Registry identified risk factors for cardiac events in LQTS patients (1,3,59). However, there are no data regarding specific risk factors for SCD within the high-risk subgroup of symptomatic LQTS patients who have experienced a previous syncopal episode. Thus, the subsequent treatment of these patients depends largely on the clinical judgment of the physician based on risk assessment. Specifically, a paucity of data exists regarding the management of LQTS patients who experience syncope while on beta-blocker therapy. The aim of this study was to determine clinical predictors of subsequent SCD in LQTS patients presenting to the clinician with first syncopal episode and to evaluate the efficacy of beta-blocker therapy for the prevention of sudden death in this high-risk population.

Study population

The study population was drawn from the International LQTS Registry (10) and included affected or genotype-positive individuals born after 1959 to maximize the number of patients who were treated with beta-blockers. Patients were followed through age 41 years. Affected individuals were defined as any subject with a corrected QT (QTc) interval of ≥450 ms, as corrected by Bazett's formula (11), who experienced a syncopal episode. The final study group comprised 1,059 LQTS subjects from 764 families. The LQTS genotype was determined with standard mutational analytic techniques involving 5 established genetic laboratories associated with the International LQTS Registry. Genotype data were available for 445 patients (LQT1 = 212, LQT2 = 163, LQT3 = 35, LQT5 = 4, LQT6 = 3, LQT7 = 2, LQT8 = 1; genotype-negative affected = 36). Symptomatic genotype-negative subjects according to the above criteria were included if incomplete genetic studies had been performed.

Beta-blocker therapy

Beta-blocker therapy was initiated at the discretion of each patient's attending physician. During the initial patient contact, information was collected on whether beta-blocker treatment had been started, the specific beta-blocker initiated, the date started, the prescribed dose, and the patient's weight. At subsequent yearly contacts, information was recorded on whether the patient continued taking beta-blockers and, if so, the daily dose; if patients discontinued therapy, the date that the medication was stopped was recorded. Among patients who died, we retrospectively determined whether the patient had been taking a prescribed beta-blocker before and on the day of death.

Syncopal events

Episodes of loss of consciousness were categorized as syncope if the episode was abrupt in onset and offset. Patients were classified into 3 prespecified categories based on the clinical nature of the syncopal events: 1) a first syncopal event in patients not receiving beta-blocker therapy; 2) repeated syncopal events in patients not receiving beta-blocker therapy; and 3) any syncopal event occurring in patients receiving beta-blocker therapy. Patients in the last category could have had any number of syncopal episodes while off beta-blocker therapy before the final episode while on beta-blocker therapy. Once a patient experienced a syncopal event while receiving beta-blocker therapy, the patient remained in this group independently of future syncopal events and treatment.

End points

The primary end point was a life-threatening cardiac event. Twenty percent (n = 212) of the study population had an implantable cardioverter-defibrillator (ICD) implanted. We therefore used the end point of severe arrhythmic events (SAEs) defined as LQTS-related SCD, aborted cardiac arrest, or appropriate ICD therapy for an LQTS-related ventricular tachyarrhythmia, whichever occurred first. Adjudication of the ICD treatment as appropriate or inappropriate was performed by the treating electrophysiologist at the time of ICD interrogation.

Statistical analysis

Variables were tested for normality using visual inspection. Student t test and Pearson's chi-square test were used in the univariate comparison analyses where appropriate. The cumulative probability of a first cardiac event was assessed by the Kaplan-Meier method with significance testing by the log-rank statistic. The Cox proportional hazards survivorship model was used to evaluate the independent contribution of clinical and genetic factors to the first occurrence of time-dependent cardiac events from birth through age 40 years. Pre-specified covariates included in the multivariate model were QTc duration, sex, history of syncope, and time-dependent beta-blocker therapy. Beta-blocker treatment, syncope, and the interaction between recurrent syncope and beta-blocker therapy were treated as time-dependent covariates in a Cox model, and all reported hazard ratios (HRs) and p values stem from these models.

To illustrate the risk associated with syncopal events occurring while on and off beta-blocker therapy, Kaplan-Meier survival curves for patients, all experiencing 1 syncopal event while off beta-blocker therapy, were created for the following treatment and syncopal groups: 1) patients not starting beta-blocker treatment after first syncope; 2) patients starting beta-blocker treatment after the first syncopal event and experiencing no subsequent syncope during beta-blocker treatment; and 3) patients starting beta-blocker treatment after the first episode of syncope and experiencing subsequent syncope episodes during beta-blocker treatment. All patients were initially in group 1, and the time of the syncope occurring while off beta-blocker therapy was used as time origin. If patients started beta-blocker therapy, they moved into group 2, now using time of initiation of beta-blocker treatment as the time origin for outcome. If patients in group 2 experienced syncope during beta-blocker treatment, they moved into group 3, now with the time of the syncope occurring while receiving beta-blocker treatment as the time origin.

Similarly, the figure showing the risk of syncope occurring during beta-blocker treatment was constructed with patients in the corresponding age and sex groups at the time of beta-blocker treatment initiation. If the patients started beta-blocker treatment before age 14 years and were followed past age 14 years, the patient was censored at age 14 years and restarted at time 0 in the appropriate sex group with the 14th birthday as the origin of the curve. The methodology shown in (Figure 1) and (Figure 2) was used for illustrative purposes only, and no hypothesis testing was done using this approach.

Grahic Jump Location
Figure 1

The Cumulative Risk of Severe Arrhythmic Events and Beta-Blocker Therapy

The solid black line represents all patients after the first syncopal event until start of beta-blocker (BB) therapy. After the start of beta-blocker therapy, patients are represented by the red dashed line. Patients with a syncopal event occurring while off beta-blocker therapy are represented by the purple dashed line. See the Methods section for how this graph was constructed.

Grahic Jump Location
Figure 2

Risk of the First Syncope Event on Beta-Blocker Treatment From the Start of Beta-Blocker Treatment or From the 14th Birthday

Patients were followed from the time that beta-blocker therapy was started in the respective sex groups. See the Methods section for how this graph was constructed.

All statistical analyses were performed using SAS version 9.1.3 (SAS Institute, Cary, North Carolina).

Study population

Baseline characteristics of the study population by the occurrence of SAEs during follow-up are shown in (Table 1). The group with SAEs had a lower frequency of beta-blocker use, but initiated beta-blocker therapy at a younger age than those without SAEs. A larger proportion of patients with SAEs was treated with device therapy or surgery, indicating the severe clinical presentation of the syndrome in this group. The type and dose of beta-blocker treatment were balanced in the 2 groups.

Table Grahic Jump Location
Table 1Clinical Characteristics and Treatment in the Study Population
Table Footer NoteSignificant differences between the 2 groups with p < 0.05.
Table Footer NoteOf 16 patients with compound mutations, 4 patients had mutations in the same gene, whereas 12 patients had mutations in multiple genes (LQT1 + LQT2 = 4, LQT1 + LQT2 = 4, LQT1 + LQT5 = 1, LQT2 + LQT3 = 2, LQT1 + SNTA1 = 1).
Risk factor for SAEs

A total of 210 SAEs occurred, of which 82 (39%) occurred during beta-blocker treatment. There were no differences in the proportion of the SAEs that occurred during beta-blocker treatment among patients with LQT1 (45%), LQT2 (33%), and LQT3 (40%) (p = 0.48).

The most important risk factor for SAEs was whether a syncopal episode occurred during beta-blocker treatment. This is illustrated in (Figure 1). Patients who began beta-blocker therapy after their first and only syncopal episode and did not experience further episodes were at low risk of SAEs. However, patients experiencing syncopal episodes during beta-blocker therapy were at the same high risk of SAEs as patients who never started beta-blocker therapy. Accordingly, in a multivariate analysis (Table 2), syncope occurring during beta-blocker treatment was the most powerful predictor of subsequent SAEs (HR: 3.6, p < 0.001). Patients who experienced multiple versus single syncopal episodes while off beta-blocker treatment had twice the risk of an SAE. Beta-blockers were generally protective against SAEs, and there were no significant sex or age group interactions. The risk of SAEs after a syncopal event was also significantly increased among patients with severe QTc interval prolongation (QTc interval >500 ms) and female patients in the 14 to 40 years age group. Females and males have a similar risk of SAEs after the first syncopal episode during the preteen years, but after age 14 years, female patients had almost twice the risk of SAEs compared with male patients in the same age group (HR: 1.86, p < 0.001).

Table Grahic Jump Location
Table 2Cox Model for Risk Factors Related to Severe Cardiac Events in Patients Presenting With the First Syncope Event and Repeated Syncope Events On and Off Beta-Blocker Therapy
Table Footer NoteRelative to subjects with only 1 syncopal episode occurring while off beta-blocker therapy.
Table Footer NoteRelative to male subjects age 14 to 40 years.

Fifty-two patients were treated with left cervicothoracic sympathectomy (LCTS) during the course of the study. All patients started beta-blocker therapy before LCTS, and most patients (43 [83%]) remained on beta-blocker therapy throughout the study. Six SAEs occurred in this group despite concomitant treatment with beta-blockers. The patients receiving LCTS had longer QTc intervals, both among subjects with SAEs (QTc interval = 519 ± 5 ms) and without SAEs (QTc interval = 520 ± 5 ms), but were in other aspects similar to the study population. The few individuals with sympathectomy did not allow evaluation of this treatment in the Cox models.

Risk factors for recurrent syncope during treatment with beta-blockers

To determine the risk for recurrent syncope while receiving beta-blocker therapy, 746 patients in whom beta-blocker therapy was initiated after experiencing syncope were included in a subset analysis. In this analysis, follow-up time was assessed from the date beta-blocker therapy was initiated.

As illustrated in (Figure 2), the risk of syncope during beta-blocker treatment did not show any association with the QTc interval, but the risk was markedly influenced by the age and sex of the patients. (Figure 2) shows a high but similar risk of syncope during beta-blocker treatment before puberty in both sexes. However, after puberty, female patients remain at high risk, whereas the risk in male patients decreases markedly. (Table 3) shows the results from the multivariate analysis. There were no significant differences between male and female patients ages 0 to 13 years (HR: 1.04, p = 0.85) as well as between female patients ages 0 to 13 years and female patients ages 14 to 40 years (HR: 1.39, p = 0.10).

Table Grahic Jump Location
Table 3Risk Factors for the First Syncope Event After the Start of Beta-Blocker Treatment in Long QT Syndrome Patients With Previous Episodes of Syncope

This study highlights the association of syncopal episodes with the subsequent risk of potentially fatal arrhythmic events in LQTS patients. New important findings in this study are as follows: 1) in LQTS patients presenting with the first syncopal episode, fatal arrhythmic events are effectively prevented with beta-blocker treatment in those without recurrent syncope; 2) patients experiencing syncope while receiving beta-blocker therapy are at high risk of subsequent SAEs, a risk similar to that observed in patients who are not treated with beta-blockers; and 3) there is an important sex difference in the risk of experiencing syncope while being treated with beta-blockers. Before puberty, the efficacy of beta-blockers in preventing subsequent syncopal episodes seems to be equal in both sexes, whereas after age 14 years, this risk is drastically lowered in male patients, but not among female patients. The risk of syncope while being treated with beta-blockers among patients with previous syncopal events does not seem to be related to the QTc interval.

Syncope, beta-blocker treatment, and prevention of cardiac death in LQTS patients

Why some patients keep having symptoms despite treatment with beta-blockers is unknown. A possible explanation may be the known patient variability in beta-blocker efficacy in blocking sympathetic activation (1213) that may have genetic underpinnings. In a previous study, failure of beta-blocker therapy was related to the genotype, because LQT1 genotype-positive subjects showed the highest proportion of beta-blocker therapy failures, and to the type of beta-blocker used (14). This finding contrasts with our study in which the type of beta-blocker did not significantly influence the results, and beta-blocker effects were consistent across genotypes. Instead we found that sex and age had an influence on the risk of syncope while receiving beta-blocker treatment. Those experiencing syncope on beta-blocker therapy were at high risk of SAEs.

A recent study evaluated occurrences of aborted cardiac arrest/SCD in LQTS subjects receiving beta-blocker therapy and found that a significant number of these events were due to noncompliance or concomitant treatment with QT-prolonging drugs (15). We were not able to investigate this, but noncompliance is an important confounder in this population consisting of mainly young individuals prone to side effects. However, we cannot explain why noncompliance should be much higher in female patients older than 14 years than in male patients older than 14 years, and we believe that other factors such as sex hormones are likely to play a role in this difference.

ICD treatment in LQTS patients presenting with a syncope

When to treat a symptomatic LQTS patient with an ICD is an important clinical question, and the benefits and risk of ICD therapy in high-risk LQTS patients have yet to be defined. The risk of SAEs in LQTS patients presenting with syncope is low if treated with beta-blockers. However, experiencing syncope while being treated with beta-blocking agents is a high-risk situation, and this study shows that the risk of fatal arrhythmias in such patients can be considered equal to the risk in patients not treated with beta-blockers. Even though some of the syncope episodes in this study could have occurred because of noncompliance or undertreatment, it is unlikely that these nontherapy factors explain our findings. ICD therapy is very effective in preventing SCD in LQTS patients (1618), and ICD therapy should be considered in patients experiencing syncope during beta-blocker treatment.

Study limitations

Beta-blocker treatment was not allocated at random, and unmeasured factors could have influenced the effects of therapy. Also, the efficacy of beta-blockers has been linked to the genotype of the patients. Only a subset of the study subjects in this study was genotyped, and the small number of end points in these patients did not allow us to address differences between the different genotypes. We did separate models for LQT1 and LQT2 patients and found identical patterns for the beta-blocker treatment. We believe that the bias caused by unknown phenotype is small and that the reported results are applicable to most genotypes. Family membership of the study subjects is likely to be influenced by other genotypic traits in the family. In this study, only a few study subjects were related, and we did not find any difference in the results when using the covariance estimator sandwich (19) to adjust for family membership. The impact of LCTS surgery on the study results could not be fully evaluated due to limited power in the Cox analysis.

In general, LQTS patients presenting with syncope are effectively treated with beta-blockers. However, patients experiencing ≥1 syncopal events during beta-blocker therapy are at the same risk of fatal events as patients who were not treated with beta-blockers. Thus, ICD treatment should be considered in these high-risk patients. The risk of syncopal events during beta-blocker treatment is highest before puberty. After puberty, the risk remains high in female patients.

For a list of the investigators from the International Long QT Syndrome Registry who contributed patients to the study, please see the online version of this article.

Risk of Fatal Arrhythmic Events in Long QT Syndrome Patients After Syncope

Moss  A.J., Schwartz  P.J., Crampton  R.S.; The long QT syndrome. Prospective longitudinal study of 328 families. Circulation. 84 1991:1136-1144.
CrossRef | PubMed
Moss  A.J., Shimizu  W., Wilde  A.A.; Clinical aspects of type-1 long-QT syndrome by location, coding type, and biophysical function of mutations involving the KCNQ1 gene. Circulation. 115 2007:2481-2489.
CrossRef | PubMed
Priori  S.G., Schwartz  P.J., Napolitano  C.; Risk stratification in the long-QT syndrome. N Engl J Med. 348 2003:1866-1874.
CrossRef | PubMed
Goldenberg  I., Moss  A.J.; Long QT syndrome. J Am Coll Cardiol. 51 2008:2291-2300.
CrossRef | PubMed
Goldenberg  I., Mathew  J., Moss  A.J.; Corrected QT variability in serial electrocardiograms in long QT syndrome: the importance of the maximum corrected QT for risk stratification. J Am Coll Cardiol. 48 2006:1047-1052.
CrossRef | PubMed
Goldenberg  I., Moss  A.J., Peterson  D.R.; Risk factors for aborted cardiac arrest and sudden cardiac death in children with the congenital long-QT syndrome. Circulation. 117 2008:2184-2191.
CrossRef | PubMed
Goldenberg  I., Moss  A.J., Bradley  J.; Long-QT syndrome after age 40. Circulation. 117 2008:2192-2201.
CrossRef | PubMed
Hobbs  J.B., Peterson  D.R., Moss  A.J.; Risk of aborted cardiac arrest or sudden cardiac death during adolescence in the long-QT syndrome. JAMA. 296 2006:1249-1254.
CrossRef | PubMed
Sakaguchi  T., Shimizu  W., Itoh  H.; Age- and genotype-specific triggers for life-threatening arrhythmia in the genotyped long QT syndrome. J Cardiovasc Electrophysiol. 19 2008:794-799.
CrossRef | PubMed
Moss  A.J., Schwartz  P.J.; 25th anniversary of the International Long-QT Syndrome Registry: an ongoing quest to uncover the secrets of long-QT syndrome. Circulation. 111 2005:1199-1201.
CrossRef | PubMed
Bazett  H.C.; An analysis of the time-relations of electrocardiograms. Heart. 7 1920:353-370.
Pannu  H.K., Sullivan  C., Lai  S., Fishman  E.K.; Evaluation of the effectiveness of oral beta-blockade in patients for coronary computed tomographic angiography. J Comput Assist Tomogr. 32 2008:247-251.
CrossRef | PubMed
Degertekin  M., Gemici  G., Kaya  Z.; Safety and efficacy of patient preparation with intravenous esmolol before 64-slice computed tomography coronary angiography. Coron Artery Dis. 19 2008:33-36.
CrossRef | PubMed
Chatrath  R., Bell  C.M., Ackerman  M.J.; Beta-blocker therapy failures in symptomatic probands with genotyped long-QT syndrome. Pediatr Cardiol. 25 2004:459-465.
CrossRef | PubMed
Vincent  G.M., Schwartz  P.J., Denjoy  I.; High efficacy of beta-blockers in long-QT syndrome type 1: contribution of noncompliance and QT-prolonging drugs to the occurrence of beta-blocker treatment “failures.”. Circulation. 119 2009:215-221.
CrossRef | PubMed
Groh  W.J., Silka  M.J., Oliver  R.P., Halperin  B.D., McAnulty  J.H., Kron  J.; Use of implantable cardioverter-defibrillators in the congenital long QT syndrome. Am J Cardiol. 78 1996:703-706.
CrossRef | PubMed
Viskin  S.; Implantable cardioverter defibrillator in high-risk long QT syndrome patients. J Cardiovasc Electrophysiol. 14 2003:1130-1131.
CrossRef | PubMed
Zareba  W., Moss  A.J., Daubert  J.P., Hall  W.J., Robinson  J.L., Andrews  M.; Implantable cardioverter defibrillator in high-risk long QT syndrome patients. J Cardiovasc Electrophysiol. 14 2003:337-341.
CrossRef | PubMed
Lin  D.Y., Wei  L.J.; The robust inference for the Cox proportional hazards model. J Am Stat Assoc. 84 1989:1074-1078.
CrossRef

Figures

Grahic Jump Location
Figure 1

The Cumulative Risk of Severe Arrhythmic Events and Beta-Blocker Therapy

The solid black line represents all patients after the first syncopal event until start of beta-blocker (BB) therapy. After the start of beta-blocker therapy, patients are represented by the red dashed line. Patients with a syncopal event occurring while off beta-blocker therapy are represented by the purple dashed line. See the Methods section for how this graph was constructed.

Grahic Jump Location
Figure 2

Risk of the First Syncope Event on Beta-Blocker Treatment From the Start of Beta-Blocker Treatment or From the 14th Birthday

Patients were followed from the time that beta-blocker therapy was started in the respective sex groups. See the Methods section for how this graph was constructed.

Tables

Table Grahic Jump Location
Table 1Clinical Characteristics and Treatment in the Study Population
Table Footer NoteSignificant differences between the 2 groups with p < 0.05.
Table Footer NoteOf 16 patients with compound mutations, 4 patients had mutations in the same gene, whereas 12 patients had mutations in multiple genes (LQT1 + LQT2 = 4, LQT1 + LQT2 = 4, LQT1 + LQT5 = 1, LQT2 + LQT3 = 2, LQT1 + SNTA1 = 1).
Table Grahic Jump Location
Table 2Cox Model for Risk Factors Related to Severe Cardiac Events in Patients Presenting With the First Syncope Event and Repeated Syncope Events On and Off Beta-Blocker Therapy
Table Footer NoteRelative to subjects with only 1 syncopal episode occurring while off beta-blocker therapy.
Table Footer NoteRelative to male subjects age 14 to 40 years.
Table Grahic Jump Location
Table 3Risk Factors for the First Syncope Event After the Start of Beta-Blocker Treatment in Long QT Syndrome Patients With Previous Episodes of Syncope

Interactive Graphics

Video

References

Moss  A.J., Schwartz  P.J., Crampton  R.S.; The long QT syndrome. Prospective longitudinal study of 328 families. Circulation. 84 1991:1136-1144.
CrossRef | PubMed
Moss  A.J., Shimizu  W., Wilde  A.A.; Clinical aspects of type-1 long-QT syndrome by location, coding type, and biophysical function of mutations involving the KCNQ1 gene. Circulation. 115 2007:2481-2489.
CrossRef | PubMed
Priori  S.G., Schwartz  P.J., Napolitano  C.; Risk stratification in the long-QT syndrome. N Engl J Med. 348 2003:1866-1874.
CrossRef | PubMed
Goldenberg  I., Moss  A.J.; Long QT syndrome. J Am Coll Cardiol. 51 2008:2291-2300.
CrossRef | PubMed
Goldenberg  I., Mathew  J., Moss  A.J.; Corrected QT variability in serial electrocardiograms in long QT syndrome: the importance of the maximum corrected QT for risk stratification. J Am Coll Cardiol. 48 2006:1047-1052.
CrossRef | PubMed
Goldenberg  I., Moss  A.J., Peterson  D.R.; Risk factors for aborted cardiac arrest and sudden cardiac death in children with the congenital long-QT syndrome. Circulation. 117 2008:2184-2191.
CrossRef | PubMed
Goldenberg  I., Moss  A.J., Bradley  J.; Long-QT syndrome after age 40. Circulation. 117 2008:2192-2201.
CrossRef | PubMed
Hobbs  J.B., Peterson  D.R., Moss  A.J.; Risk of aborted cardiac arrest or sudden cardiac death during adolescence in the long-QT syndrome. JAMA. 296 2006:1249-1254.
CrossRef | PubMed
Sakaguchi  T., Shimizu  W., Itoh  H.; Age- and genotype-specific triggers for life-threatening arrhythmia in the genotyped long QT syndrome. J Cardiovasc Electrophysiol. 19 2008:794-799.
CrossRef | PubMed
Moss  A.J., Schwartz  P.J.; 25th anniversary of the International Long-QT Syndrome Registry: an ongoing quest to uncover the secrets of long-QT syndrome. Circulation. 111 2005:1199-1201.
CrossRef | PubMed
Bazett  H.C.; An analysis of the time-relations of electrocardiograms. Heart. 7 1920:353-370.
Pannu  H.K., Sullivan  C., Lai  S., Fishman  E.K.; Evaluation of the effectiveness of oral beta-blockade in patients for coronary computed tomographic angiography. J Comput Assist Tomogr. 32 2008:247-251.
CrossRef | PubMed
Degertekin  M., Gemici  G., Kaya  Z.; Safety and efficacy of patient preparation with intravenous esmolol before 64-slice computed tomography coronary angiography. Coron Artery Dis. 19 2008:33-36.
CrossRef | PubMed
Chatrath  R., Bell  C.M., Ackerman  M.J.; Beta-blocker therapy failures in symptomatic probands with genotyped long-QT syndrome. Pediatr Cardiol. 25 2004:459-465.
CrossRef | PubMed
Vincent  G.M., Schwartz  P.J., Denjoy  I.; High efficacy of beta-blockers in long-QT syndrome type 1: contribution of noncompliance and QT-prolonging drugs to the occurrence of beta-blocker treatment “failures.”. Circulation. 119 2009:215-221.
CrossRef | PubMed
Groh  W.J., Silka  M.J., Oliver  R.P., Halperin  B.D., McAnulty  J.H., Kron  J.; Use of implantable cardioverter-defibrillators in the congenital long QT syndrome. Am J Cardiol. 78 1996:703-706.
CrossRef | PubMed
Viskin  S.; Implantable cardioverter defibrillator in high-risk long QT syndrome patients. J Cardiovasc Electrophysiol. 14 2003:1130-1131.
CrossRef | PubMed
Zareba  W., Moss  A.J., Daubert  J.P., Hall  W.J., Robinson  J.L., Andrews  M.; Implantable cardioverter defibrillator in high-risk long QT syndrome patients. J Cardiovasc Electrophysiol. 14 2003:337-341.
CrossRef | PubMed
Lin  D.Y., Wei  L.J.; The robust inference for the Cox proportional hazards model. J Am Stat Assoc. 84 1989:1074-1078.
CrossRef

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