Nature Communications (May 2016)

Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

  • Hermenegild J. Arevalo,
  • Fijoy Vadakkumpadan,
  • Eliseo Guallar,
  • Alexander Jebb,
  • Peter Malamas,
  • Katherine C. Wu,
  • Natalia A. Trayanova

DOI
https://doi.org/10.1038/ncomms11437
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 8

Abstract

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Sudden arrhythmic death is a leading cause of mortality, however approaches to identify at-risk patients are of low sensitivity and specificity. Here, the authors develop a personalized approach to assess arrhythmia risk in post-infarction patients based on cardiac imaging and computational modelling that significantly outperforms existing clinical metrics.