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

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Ryan Hoefen
  • Matthias Reumann
  • Ilan Goldenberg
  • Arthur J Moss
  • Jin O-Uchi
  • Yiping Gu
  • Scott McNitt
  • Wojciech Zareba
  • Christian Jons
  • Kanters, Jørgen K.
  • Pyotr G Platonov
  • Wataru Shimizu
  • Arthur A M Wilde
  • John Jeremy Rice
  • Coeli M Lopes
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).
OriginalsprogEngelsk
TidsskriftJournal of the American College of Cardiology
Vol/bind60
Udgave nummer21
Sider (fra-til)2182-91
Antal sider10
ISSN0735-1097
DOI
StatusUdgivet - 20 nov. 2012

ID: 48052110