title: Computational cardiology and risk stratification for sudden cardiac death: one of the grand challenges for cardiology in the 21st century.
abstract: Risk stratification in the context of sudden cardiac death has been acknowledged as one of the major challenges facing cardiology for the past four decades. In recent years, the advent of high performance computing has facilitated organ-level simulation of the heart, meaning we can now examine the causes, mechanisms and impact of cardiac dysfunction in silico. As a result, computational cardiology, largely driven by the Physiome project, now stands at the threshold of clinical utility in regards to risk stratification and treatment of patients at risk of sudden cardiac death. In this white paper, we outline a roadmap of what needs to be done to make this translational step, using the relatively well-developed case of acquired or drug-induced long QT syndrome as an exemplar case.
authors.affiliation: Victor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW, 2010, Australia.|St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2052, Australia.
authors.forename: Adam P
authors.initials: AP
authors.lastname: Hill
authors.affiliation: Victor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW, 2010, Australia.|St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2052, Australia.
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Perry
authors.affiliation: AnaBios Corporation, 3030 Bunker Hill St., San Diego, CA, 92109, USA.
authors.forename: Najah
authors.initials: N
authors.lastname: Abi-Gerges
authors.affiliation: University of Rochester Medical Center, Rochester, NY, 14642, USA.
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Couderc
authors.affiliation: Global Safety Pharmacology, Pfizer Inc, MS8274-1347 Eastern Point Road, Groton, CT, 06340, USA.
authors.forename: Bernard
authors.initials: B
authors.lastname: Fermini
authors.affiliation: School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK.
authors.forename: Jules C
authors.initials: JC
authors.lastname: Hancox
authors.affiliation: Vanderbilt University School of Medicine, 1285 Medical Research Building IV, Nashville, Tennessee, 37232, USA.
authors.forename: Bjorn C
authors.initials: BC
authors.lastname: Knollmann
authors.affiliation: Computational Biology, Department of Computer Science, University of Oxford, Oxford, United Kingdom.
authors.forename: Gary R
authors.identifier: 0000-0002-4569-4312
authors.initials: GR
authors.lastname: Mirams
authors.affiliation: Cardiac Inherited Disease Group, Starship Hospital, Auckland, New Zealand.
authors.forename: Jon
authors.initials: J
authors.lastname: Skinner
authors.affiliation: University of Rochester Medical Center, Rochester, NY, 14642, USA.
authors.forename: Wojciech
authors.initials: W
authors.lastname: Zareba
authors.affiliation: Victor Chang Cardiac Research Institute, 405 Liverpool Street, Darlinghurst, NSW, 2010, Australia.|St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, 2052, Australia.
authors.forename: Jamie I
authors.initials: JI
authors.lastname: Vandenberg
mesh_terms: D000818:Animals; D001145:Arrhythmias, Cardiac / Q000139:chemically induced* / Q000150:complications*; D002309:Cardiology / Q000379:methods; D003198:Computer Simulation; D016757:Death, Sudden, Cardiac / Q000209:etiology*; D064420:Drug-Related Side Effects and Adverse Reactions; D006321:Heart / Q000503:physiopathology; D006801:Humans; D008955:Models, Cardiovascular; D012306:Risk