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Clinical Research |

Novel Insights Into Beta-Blocker Therapy for Long QT Syndromes⁎ 

James P. Daubert, MD; Augustus O. Grant, MD, PhD; Kent R. Nilsson, MD
[+] Author Information

Dr. Daubert has received honoraria and research grants from Medtronic, Biosense Webster, Boston Scientific, St. Jude Medical, Sorin Medical, Biotronik, Premier, Inc., and Gilead; and has equity in Johnson and Johnson. Dr. Grant is a consultant to Sanofi Aventis and Unilever. Dr. Nilsson has received research grants from Medtronic and honorari from Janssen Pharmaceutical.

Reprint requests and correspondence: Dr. James P. Daubert, Duke University Health System, Cardiology Division, DUMC Box 3174, Duke Hospital North, Room 7451H, Durham, North Carolina 27710

Copyright 2012, American College of Cardiology Foundation. All Rights Reserved.

J Am Coll Cardiol. 2012;60(20):2100-2102. doi:10.1016/j.jacc.2012.08.965
Published online

The congenital long QT syndromes (LQTS [cumulative incidence 1:2,000]) are individually distinct but exhibit a common phenotype of QT-interval prolongation and sudden death risk. Potassium channel mutations, KCNQ1 (LQTS1) and KCNH2 (LQTS2), account for approximately 60% of cases. Beta-blockers have long been the mainstay of therapy, dramatically reducing syncope and death (1). Pharmacologically, beta-blockers blunt beta-adrenergic receptor-mediated sympathetic stimulation, but have varying half-lives and extracardiac effects contingent upon beta-isoform specificity and lipophilicity (Table 1). Although retrospective, several prior studies have compared the efficacy of different beta-blockers in treating LQTS (Table 2) ((2),(3),(4),(5),6). In this issue of the Journal, Chockalingham et al. (7) present a compelling argument that the pharmacologic differences among 3 commonly prescribed beta-blockers—propranolol, nadolol, and metoprolol—significantly impact arrhythmic risk in genotype confirmed LQTS1 and LQTS2 (7). A multicenter cohort of 382 patients treated with beta-blockers was assembled. The primary composite endpoint included abrupt syncope, near drowning, seizure episodes, or aborted cardiac arrest. The investigators found that: 1) propranolol shortened QTc more than nadolol or metoprolol; 2) QTc shortening inversely correlated with cardiac events; and 3) metoprolol protected less than propranolol or nadolol.

Table Grahic Jump Location
Table 1Comparison of Beta-Blockers Studied in Long QT Syndrome

Table Grahic Jump Location
Table 2Studies Evaluating and Comparing Beta-Blockers in Long QT Syndrome

First, the researchers compared the QTc before beta-blocker with on-therapy QTc. The propensity for propranolol to shorten the QTc was most evident for baseline QTc exceeding 480 ms. The QTc shortening did not appear artifactual owing to an imperfect correction formula, as rate slowed to a similar degree with each beta-blocker. To confirm differential QTc shortening, they exploited the transition of 14 patients (11 LQTS1 and 3 LQTS2) from propranolol to metoprolol. After switching, QTc increased from 447 ± 20 ms to 464 ± 39 ms. Notably, because the therapy transition occurred at 11 years and the comparison propranolol ECG was recorded several years earlier, interim hormonal changes could be operative (8). Data are limited regarding differential QTc effects of beta-blockers in LQTS. In 1 small mechanistic study, propranolol did not shorten QTc under baseline conditions (9). However, body surface electrode recordings uncovered favorable changes in spatial and transmural dispersion of repolarization; propranolol-mediated QTc shortening was noted during epinephrine infusion. Further reinforcing the limitation of using QTc alone for arrhythmic risk, and the complexity of arrhythmia occurrence in LQTS, is the observation that components of the T wave can occur with adrenergic stimulation or blockade (10).

Second, Chockalingham et al. (7) observed that QTc shortening was inversely proportional to cardiac events. This observation supports a previous observation made by Moss et al. (1) in LQTS patients; they found that patients initiated on beta-blocker therapy who had a reduction in QTc tended to have a favorable outcome. The inverse relationship between QTc and sudden cardiac death has also been observed in non-LQTS patients with coronary artery disease (11), further underscoring the role that transmural dispersion of repolarization has in ventricular arrhythmias. The ability to directly modify QTc and seemingly decrease the risk of cardiac events focuses attention on whether other agents that can shorten QTc, particularly in LQT3 (12), would reduce arrhythmic events. In addition, one could hypothesize that manipulation of QT might have benefits in other situations, such as ischemic heart disease. Clearly, our understanding is incomplete, in that nadolol did not shorten QTc, like metoprolol and unlike propranolol, yet led to favorable outcomes, unlike metoprolol.

Third, Chockalingham et al. (7) found metoprolol inferior to both propranolol and nadolol for the prevention of cardiac events in patients with LQTS1 and LQTS2. At 10 years of follow-up, patients receiving either propranolol or nadolol had an event-free survival of 91% as compared with 60% on metoprolol. Although retrospective, these results do argue against the use of metoprolol and in favor of either nadolol or propranolol in the treatment of LQTS. In addition, because considerations of convenience and compliance drove the transition from short-acting propranolol to metoprolol, such changes must not be undertaken lightly. In this regard, nadolol had excellent efficacy and possesses pharmacokinetics compatible with once-daily dosing (Table 1). As 99% of propranolol-treated patients used the short-acting preparation, it is not clear whether extended-release propranolol is an acceptable alternative.

While the Chockalingham et al. (7) deserve recognition for their important observations, several limitations must be emphasized. First, owing to the nonrandomized nature of this retrospective analysis, there were significant differences in baseline clinical characteristics between the different treatment groups, including sex, history of syncope, baseline QTc, age at which therapy was started, and on-therapy heart rate. Three other aspects of the patient population need to be emphasized: 1) the baseline mean QTc for the study population was 472 ms, indicating that a significant proportion of the patient population (64%) had a normal or borderline QTc; 2) only 27% of the study population had had symptoms before therapy, roughly correlating with the number of patients with a prolonged QTc; and 3) a significant number of patients switched beta-blockers during follow-up, an observation capitalized upon by the investigators, as noted. Next, caution is needed in generalizing about preferred therapy for LQTS, as LQT1, 2, and 3 (and other subtypes) represent multiple syndromes with unique characteristics. Even within subtypes, risk and beta-blocker benefit may vary by mutation site, type, and other factors (5). For example, LQTS1 patients harboring C-loop mutations appear to respond more favorably to beta-blockers (5). Intriguingly, mutation of the sodium-channel blocker binding site can affect the ability of propranolol to block sodium current (13).

In conclusion, Chockalingham et al. (7) provide some of the most compelling evidence to date that “not all beta-blockers are equal.” Although randomized trials are formidable involving rare conditions like LQTS, additional data on differential benefit of beta-blockers from registries would be helpful. Moreover, these findings suggest the potential for reducing sudden death by QTc modulation in common acquired conditions exhibiting QTc prolongation and/or increased transmural dispersion of refractoriness.

⁎Editorials published in the Journal of the American College of Cardiology reflect the views of the authors and do not necessarily represent the views of JACC or the American College of Cardiology.

References

Moss  A.J., Zareba  W., Hall  W.J.; Effectiveness and limitations of beta-blocker therapy in congenital long-QT syndrome. Circulation. 2000;101:616-623.
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. 2009;119:215-221.
CrossRef
Priori  S.G., Napolitano  C., Schwartz  P.J.; Association of long QT syndrome loci and cardiac events among patients treated with β-blockers. JAMA. 2004;292:1341-1344.
CrossRef
Goldenberg  I., Bradley  J., Moss  A.; Beta-blocker efficacy in high-risk patients with the congenital long-QT syndrome types 1 and 2: implications for patient management. J Cardiovasc Electrophysiol. 2010;21:893-901.
Barsheshet  A., Goldenberg  I., O-Uchi  J.; Mutations in cytoplasmic loops of the KCNQ1 channel and the risk of life-threatening events: implications for mutation-specific response to beta-blocker therapy in type 1 long-QT syndrome. Circulation. 2012;125:1988-1996.
CrossRef
Chatrath  R., Bell  C.M., Ackerman  M.J.; Beta-blocker therapy failures in symptomatic probands with genotyped long-QT syndrome. Pediatr Cardiol. 2004;25:459-465.
CrossRef
Chockalingam  P., Crotti  L., Girardengo  G.; Not all beta-blockers are equal in the management of long QT syndrome types 1 and 2: higher recurrence of events under metoprolol. J Am Coll Cardiol. 2012;60:2092-2099.
Locati  E.H., Zareba  W., Moss  A.J.; Age- and sex-related differences in clinical manifestations in patients with congenital long-QT syndrome: findings from the International LQTS Registry. Circulation. 1998;164:2237-2244.
CrossRef
Shimizu  W., Tanabe  Y., Aiba  T.; Differential effects of beta-blockade on dispersion of repolarization in the absence and presence of sympathetic stimulation between the LQT1 and LQT2 forms of congenital long QT syndrome. J Am Coll Cardiol. 2002;39:1984-1991.
CrossRef
Viitasalo  M., Oikarinen  L., Swan  H.; Effects of beta-blocker therapy on ventricular repolarization documented by 24-h electrocardiography in patients with type 1 long-QT syndrome. J Am Coll Cardiol. 2006;48:747-753.
CrossRef
Williams  E., Thomas  K., Broderick  S.; Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease. Am Heart J. 2012;164:434-441.
CrossRef
Moss  A.J., Zareba  W., Schwarz  K.Q., Rosero  S., McNitt  S., Robinson  J.L.; Ranolazine shortens repolarization in patients with sustained inward sodium current due to type 3 long-QT syndrome. J Cardiovasc Electrophysiol. 2008;19:1289-1293.
CrossRef
Bankston  J.R., Kass  R.S.; Molecular determinants of local anesthetic action of beta-blocking drugs: implications for therapeutic management of long QT syndrome variant 3. J Mol Cell Cardiol. 2010;48:246-253.
CrossRef

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Table Grahic Jump Location
Table 1Comparison of Beta-Blockers Studied in Long QT Syndrome
Table Grahic Jump Location
Table 2Studies Evaluating and Comparing Beta-Blockers in Long QT Syndrome

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References

Moss  A.J., Zareba  W., Hall  W.J.; Effectiveness and limitations of beta-blocker therapy in congenital long-QT syndrome. Circulation. 2000;101:616-623.
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. 2009;119:215-221.
CrossRef
Priori  S.G., Napolitano  C., Schwartz  P.J.; Association of long QT syndrome loci and cardiac events among patients treated with β-blockers. JAMA. 2004;292:1341-1344.
CrossRef
Goldenberg  I., Bradley  J., Moss  A.; Beta-blocker efficacy in high-risk patients with the congenital long-QT syndrome types 1 and 2: implications for patient management. J Cardiovasc Electrophysiol. 2010;21:893-901.
Barsheshet  A., Goldenberg  I., O-Uchi  J.; Mutations in cytoplasmic loops of the KCNQ1 channel and the risk of life-threatening events: implications for mutation-specific response to beta-blocker therapy in type 1 long-QT syndrome. Circulation. 2012;125:1988-1996.
CrossRef
Chatrath  R., Bell  C.M., Ackerman  M.J.; Beta-blocker therapy failures in symptomatic probands with genotyped long-QT syndrome. Pediatr Cardiol. 2004;25:459-465.
CrossRef
Chockalingam  P., Crotti  L., Girardengo  G.; Not all beta-blockers are equal in the management of long QT syndrome types 1 and 2: higher recurrence of events under metoprolol. J Am Coll Cardiol. 2012;60:2092-2099.
Locati  E.H., Zareba  W., Moss  A.J.; Age- and sex-related differences in clinical manifestations in patients with congenital long-QT syndrome: findings from the International LQTS Registry. Circulation. 1998;164:2237-2244.
CrossRef
Shimizu  W., Tanabe  Y., Aiba  T.; Differential effects of beta-blockade on dispersion of repolarization in the absence and presence of sympathetic stimulation between the LQT1 and LQT2 forms of congenital long QT syndrome. J Am Coll Cardiol. 2002;39:1984-1991.
CrossRef
Viitasalo  M., Oikarinen  L., Swan  H.; Effects of beta-blocker therapy on ventricular repolarization documented by 24-h electrocardiography in patients with type 1 long-QT syndrome. J Am Coll Cardiol. 2006;48:747-753.
CrossRef
Williams  E., Thomas  K., Broderick  S.; Race and gender variation in the QT interval and its association with mortality in patients with coronary artery disease: results from the Duke Databank for Cardiovascular Disease. Am Heart J. 2012;164:434-441.
CrossRef
Moss  A.J., Zareba  W., Schwarz  K.Q., Rosero  S., McNitt  S., Robinson  J.L.; Ranolazine shortens repolarization in patients with sustained inward sodium current due to type 3 long-QT syndrome. J Cardiovasc Electrophysiol. 2008;19:1289-1293.
CrossRef
Bankston  J.R., Kass  R.S.; Molecular determinants of local anesthetic action of beta-blocking drugs: implications for therapeutic management of long QT syndrome variant 3. J Mol Cell Cardiol. 2010;48:246-253.
CrossRef

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