In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models

Ryan Hoefen; Matthias Reumann; Ilan Goldenberg; Arthur J Moss; Jin O-Uchi; Yiping Gu; Scott McNitt; Wojciech Zareba; Christian Jons; Jørgen Kanters; Pyotr G Platonov; Wataru Shimizu; Arthur A M Wilde; John Jeremy Rice; Coeli M Lopes

doi:10.1016/j.jacc.2012.07.053

In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models

Ryan Hoefen, Matthias Reumann, Ilan Goldenberg, Arthur J Moss, Jin O-Uchi, Yiping Gu, Scott McNitt, Wojciech Zareba, Christian Jons, Jørgen Kanters, Pyotr G Platonov, Wataru Shimizu, Arthur A M Wilde, John Jeremy Rice, Coeli M Lopes

26 Citationer (Scopus)

Abstrakt

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).

Originalsprog	Engelsk
Tidsskrift	American College of Cardiology. Journal
Vol/bind	60
Udgave nummer	21
Sider (fra-til)	2182-91
Antal sider	10
ISSN	0735-1097
DOI	https://doi.org/10.1016/j.jacc.2012.07.053
Status	Udgivet - 2012

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10.1016/j.jacc.2012.07.053

Citationsformater

Hoefen, R., Reumann, M., Goldenberg, I., Moss, A. J., O-Uchi, J., Gu, Y., McNitt, S., Zareba, W., Jons, C., Kanters, J., 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. American College of Cardiology. Journal, 60(21), 2182-91. https://doi.org/10.1016/j.jacc.2012.07.053

Hoefen, R, Reumann, M, Goldenberg, I, Moss, AJ, O-Uchi, J, Gu, Y, McNitt, S, Zareba, W, Jons, C, Kanters, J, 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', American College of Cardiology. Journal, bind 60, nr. 21, s. 2182-91. https://doi.org/10.1016/j.jacc.2012.07.053

@article{8213858a3dce457caebc2ec76a80e400,

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 J{\o}rgen Kanters and Platonov, {Pyotr G} and Wataru Shimizu and Wilde, {Arthur A M} and Rice, {John Jeremy} and Lopes, {Coeli M}",

year = "2012",

doi = "10.1016/j.jacc.2012.07.053",

language = "English",

volume = "60",

pages = "2182--91",

journal = "American College of Cardiology. Journal",

issn = "0735-1097",

publisher = "Elsevier Inc",

number = "21",

}

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

AU - Platonov, Pyotr G

AU - Shimizu, Wataru

AU - Wilde, Arthur A M

AU - Rice, John Jeremy

AU - Lopes, Coeli M

PY - 2012

Y1 - 2012

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 - American College of Cardiology. Journal

JF - American College of Cardiology. Journal

SN - 0735-1097

IS - 21

ER -

In silico cardiac risk assessment in patients with long QT syndrome: type 1: clinical predictability of cardiac models

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