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In silico cardiac risk assessment in patients with long QT syndrome : type 1: clinical predictability of cardiac models. / Hoefen, Ryan; Reumann, Matthias; Goldenberg, Ilan; Moss, Arthur J; O-Uchi, Jin; Gu, Yiping; McNitt, Scott; Zareba, Wojciech; Jons, Christian; Kanters, Jørgen K.; Platonov, Pyotr G; Shimizu, Wataru; Wilde, Arthur A M; Rice, John Jeremy; Lopes, Coeli M.
In:
Journal of the American College of Cardiology, Vol. 60, No. 21, 20.11.2012, p. 2182-91.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Hoefen, R, Reumann, M, Goldenberg, I, Moss, AJ, O-Uchi, J, Gu, Y, McNitt, S, Zareba, W, Jons, C
, Kanters, JK, Platonov, PG, Shimizu, W, Wilde, AAM, Rice, JJ & Lopes, CM 2012, '
In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models',
Journal of the American College of Cardiology, vol. 60, no. 21, pp. 2182-91.
https://doi.org/10.1016/j.jacc.2012.07.053APA
Hoefen, R., Reumann, M., Goldenberg, I., Moss, A. J., O-Uchi, J., Gu, Y., McNitt, S., Zareba, W., Jons, C.
, Kanters, J. K., Platonov, P. G., Shimizu, W., Wilde, A. A. M., Rice, J. J., & Lopes, C. M. (2012).
In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models.
Journal of the American College of Cardiology,
60(21), 2182-91.
https://doi.org/10.1016/j.jacc.2012.07.053Vancouver
Hoefen R, Reumann M, Goldenberg I, Moss AJ, O-Uchi J, Gu Y et al.
In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models.
Journal of the American College of Cardiology. 2012 Nov 20;60(21):2182-91.
https://doi.org/10.1016/j.jacc.2012.07.053Author
Hoefen, Ryan ; Reumann, Matthias ; Goldenberg, Ilan ; Moss, Arthur J ; O-Uchi, Jin ; Gu, Yiping ; McNitt, Scott ; Zareba, Wojciech ; Jons, Christian ; Kanters, Jørgen K. ; Platonov, Pyotr G ; Shimizu, Wataru ; Wilde, Arthur A M ; Rice, John Jeremy ; Lopes, Coeli M. / In silico cardiac risk assessment in patients with long QT syndrome : type 1: clinical predictability of cardiac models. In: Journal of the American College of Cardiology. 2012 ; Vol. 60, No. 21. pp. 2182-91.
Bibtex
@article{346f003b0e264defa870f0ce1311a12d,
title = "In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models",
abstract = "The study was designed to assess the ability of computer-simulated electrocardiography parameters to predict clinical outcomes and to risk-stratify patients with long QT syndrome type 1 (LQT1).",
keywords = "Adolescent, Adult, Computer Simulation, DNA, Electrophysiologic Techniques, Cardiac, Female, Follow-Up Studies, Genotype, Heart Rate, Humans, KCNQ1 Potassium Channel, Male, Models, Cardiovascular, Mutation, Phenotype, Predictive Value of Tests, Prognosis, Registries, Risk Assessment, Risk Factors, Romano-Ward Syndrome, Young Adult",
author = "Ryan Hoefen and Matthias Reumann and Ilan Goldenberg and Moss, {Arthur J} and Jin O-Uchi and Yiping Gu and Scott McNitt and Wojciech Zareba and Christian Jons and Kanters, {J{\o}rgen K.} and Platonov, {Pyotr G} and Wataru Shimizu and Wilde, {Arthur A M} and Rice, {John Jeremy} and Lopes, {Coeli M}",
note = "Copyright {\textcopyright} 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.",
year = "2012",
month = nov,
day = "20",
doi = "10.1016/j.jacc.2012.07.053",
language = "English",
volume = "60",
pages = "2182--91",
journal = "Journal of the American College of Cardiology",
issn = "0735-1097",
publisher = "Elsevier",
number = "21",
}
RIS
TY - JOUR
T1 - In silico cardiac risk assessment in patients with long QT syndrome
T2 - type 1: clinical predictability of cardiac models
AU - Hoefen, Ryan
AU - Reumann, Matthias
AU - Goldenberg, Ilan
AU - Moss, Arthur J
AU - O-Uchi, Jin
AU - Gu, Yiping
AU - McNitt, Scott
AU - Zareba, Wojciech
AU - Jons, Christian
AU - Kanters, Jørgen K.
AU - Platonov, Pyotr G
AU - Shimizu, Wataru
AU - Wilde, Arthur A M
AU - Rice, John Jeremy
AU - Lopes, Coeli M
N1 - Copyright © 2012 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
PY - 2012/11/20
Y1 - 2012/11/20
N2 - The study was designed to assess the ability of computer-simulated electrocardiography parameters to predict clinical outcomes and to risk-stratify patients with long QT syndrome type 1 (LQT1).
AB - The study was designed to assess the ability of computer-simulated electrocardiography parameters to predict clinical outcomes and to risk-stratify patients with long QT syndrome type 1 (LQT1).
KW - Adolescent
KW - Adult
KW - Computer Simulation
KW - DNA
KW - Electrophysiologic Techniques, Cardiac
KW - Female
KW - Follow-Up Studies
KW - Genotype
KW - Heart Rate
KW - Humans
KW - KCNQ1 Potassium Channel
KW - Male
KW - Models, Cardiovascular
KW - Mutation
KW - Phenotype
KW - Predictive Value of Tests
KW - Prognosis
KW - Registries
KW - Risk Assessment
KW - Risk Factors
KW - Romano-Ward Syndrome
KW - Young Adult
U2 - 10.1016/j.jacc.2012.07.053
DO - 10.1016/j.jacc.2012.07.053
M3 - Journal article
C2 - 23153844
VL - 60
SP - 2182
EP - 2191
JO - Journal of the American College of Cardiology
JF - Journal of the American College of Cardiology
SN - 0735-1097
IS - 21
ER -
