Author Interviews, Heart Disease, Johns Hopkins, Nature, Technology / 11.05.2016
Personalized Virtual Heart Map Allows For Better Prediction of Sudden Death Risk
MedicalResearch.com Interview with:
Natalia Trayanova PhD, FHRS, FAHA
Murray B. Sachs Endowed Chair
Professor of Biomedical Engineering
Joint Appointment, Medicine
Johns Hopkins University
Institute for Computational Medicine
Johns Hopkins University
Baltimore, MD
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Trayanova: The methodology for modeling cardiac electrical function has matured sufficiently that we can now create computational models of the electrical functioning of the entire heart. My research is focused on translating this methodology into the clinic. The goal is to create, if you will, "a virtual heart for every patient", that will enable the physician to play our scenarios that manifest the heart dysfunction in the given patient, and to enable physicians to make personalized decisions about patient treatment. The present paper is the first application of this overall vision.
The motivation for this particular paper was that determining which patients are at risk for sudden cardiac death represents a major unmet clinical need. Patients at risk receive life-saving implantable defibrillators (ICDs), but because of the low sensitivity and specificity of current approach (based on low ejection fraction), risk assessment is inaccurate. Thus, many patients receive ICDs without needing them, while others die of sudden cardiac death because they are not targeted for ICD therapy under the current clinical recommendations. Our goal was to develop a non-invasive personalized virtual-heart risk assessment tool that has the potential to ultimately prevent sudden cardiac death and avoid unnecessary ICD implantations.
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