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Article

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 - 20 Nov 2012

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

Abstract excerpt

OBJECTIVES: 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). BACKGROUND: Although attempts have been made to correlate mutation-specific ion channel dysfunction with patient phenotype in long QT syndrome, these have been largely unsuccessful. Systems-level computational...

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Identifiers

PMID: 23153844
DOI: 10.1016/j.jacc.2012.07.053

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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