What is it about?
This new method (EntropyX) can be easily, inexpensively and flexibly applied via a wide variety of modalities to reveal hidden information in electrical signals in the heart. This hidden information can then be used to identify those people that more likely to die before others. Importantly, this hidden information could not be identified by an extensive array of tests that are used in routine clinical practice.
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Why is it important?
This new method (EntropyX) for decoding hidden information in the electrical signals of the heart can complement current clinical methods and improve our ability to identify individuals at the highest risk for potentially catastrophic events before they happen.
Perspectives
Our goal is to save lives. Nonlinear dynamic analyses are an alternate and underexplored approach for risk stratification. Our work suggests nonlinear dynamic analyses of physiological signals identifies subclinical signatures of critical illness in individuals before clinical presentation. Based on this, earlier diagnosis of subclinical critical illness leading to earlier therapy may improve our ability to save more lives. We are currently evaluating this approach in low-risk individuals (asymptomatic adults in the community) and in high-risk hospitalized patients.
Dr Deeptankar DeMazumder
Read the Original
This page is a summary of: Entropy of cardiac repolarization predicts ventricular arrhythmias and mortality in patients receiving an implantable cardioverter-defibrillator for primary prevention of sudden death, EP Europace, April 2016, European Society of Cardiology,
DOI: 10.1093/europace/euv399.
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