Literature DB >> 23369741

Prognostic implications of mutation-specific QTc standard deviation in congenital long QT syndrome.

Andrew Mathias1, Arthur J Moss, Coeli M Lopes, Alon Barsheshet, Scott McNitt, Wojciech Zareba, Jennifer L Robinson, Emanuela H Locati, Michael J Ackerman, Jesaia Benhorin, Elizabeth S Kaufman, Pyotr G Platonov, Ming Qi, Wataru Shimizu, Jeffrey A Towbin, G Michael Vincent, Arthur A M Wilde, Li Zhang, Ilan Goldenberg.   

Abstract

BACKGROUND: Individual corrected QT interval (QTc) may vary widely among carriers of the same long QT syndrome (LQTS) mutation. Currently, neither the mechanism nor the implications of this variable penetrance are well understood.
OBJECTIVES: To hypothesize that the assessment of QTc variance in patients with congenital LQTS who carry the same mutation provides incremental prognostic information on the patient-specific QTc.
METHODS: The study population comprised 1206 patients with LQTS with 95 different mutations and ≥ 5 individuals who carry the same mutation. Multivariate Cox proportional hazards regression analysis was used to assess the effect of mutation-specific standard deviation of QTc (QTcSD) on the risk of cardiac events (comprising syncope, aborted cardiac arrest, and sudden cardiac death) from birth through age 40 years in the total population and by genotype.
RESULTS: Assessment of mutation-specific QTcSD showed large differences among carriers of the same mutations (median QTcSD 45 ms). Multivariate analysis showed that each 20 ms increment in QTcSD was associated with a significant 33% (P = .002) increase in the risk of cardiac events after adjustment for the patient-specific QTc duration and the family effect on QTc. The risk associated with QTcSD was pronounced among patients with long QT syndrome type 1 (hazard ratio 1.55 per 20 ms increment; P<.001), whereas among patients with long QT syndrome type 2, the risk associated with QTcSD was not statistically significant (hazard ratio 0.99; P = .95; P value for QTcSD-by-genotype interaction = .002).
CONCLUSIONS: Our findings suggest that mutations with a wider variation in QTc duration are associated with increased risk of cardiac events. These findings appear to be genotype-specific, with a pronounced effect among patients with the long QT syndrome type 1 genotype.
Copyright © 2013. Published by Elsevier Inc.

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Year:  2013        PMID: 23369741     DOI: 10.1016/j.hrthm.2013.01.032

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  5 in total

Review 1.  Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease.

Authors:  David N Cooper; Michael Krawczak; Constantin Polychronakos; Chris Tyler-Smith; Hildegard Kehrer-Sawatzki
Journal:  Hum Genet       Date:  2013-07-03       Impact factor: 4.132

2.  Effects on repolarization using dynamic QT interval monitoring in long-QT patients following left cardiac sympathetic denervation.

Authors:  Christopher V Desimone; J Martijn Bos; Katy M Bos; Jackson J Liang; Nikhil A Patel; David O Hodge; Amit Noheria; Samuel J Asirvatham; Michael J Ackerman
Journal:  J Cardiovasc Electrophysiol       Date:  2015-02-08

Review 3.  The measurement of the QT interval.

Authors:  Pieter G Postema; Arthur A M Wilde
Journal:  Curr Cardiol Rev       Date:  2014-08

4.  GWAS of the electrocardiographic QT interval in Hispanics/Latinos generalizes previously identified loci and identifies population-specific signals.

Authors:  Raúl Méndez-Giráldez; Stephanie M Gogarten; Jennifer E Below; Jie Yao; Amanda A Seyerle; Heather M Highland; Charles Kooperberg; Elsayed Z Soliman; Jerome I Rotter; Kathleen F Kerr; Kelli K Ryckman; Kent D Taylor; Lauren E Petty; Sanjiv J Shah; Matthew P Conomos; Nona Sotoodehnia; Susan Cheng; Susan R Heckbert; Tamar Sofer; Xiuqing Guo; Eric A Whitsel; Henry J Lin; Craig L Hanis; Cathy C Laurie; Christy L Avery
Journal:  Sci Rep       Date:  2017-12-06       Impact factor: 4.379

Review 5.  The congenital long QT syndrome Type 3: An update.

Authors:  Andrés Ricardo Pérez-Riera; Raimundo Barbosa-Barros; Rodrigo Daminello Raimundo; Marianne Penachini da Costa de Rezende Barbosa; Isabel Cristina Esposito Sorpreso; Luiz Carlos de Abreu
Journal:  Indian Pacing Electrophysiol J       Date:  2017-10-31
  5 in total

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