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

    29 Citations (Scopus)

    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).
    Original languageEnglish
    JournalAmerican College of Cardiology. Journal
    Volume60
    Issue number21
    Pages (from-to)2182-91
    Number of pages10
    ISSN0735-1097
    DOIs
    Publication statusPublished - 2012

    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

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