Does a dimensionless numerical index of optimal vortex formation accurately distinguish between normal and pathological cardiac health in human subjects?
Human subjects with normal and pathological cardiac health
Noninvasive measurement of a dimensionless numerical index of optimal vortex formation during early diastole
Existing measures of cardiac health such as left ventricular ejection fraction
Ability to distinguish disease states and correlation with existing measures of cardiac healthsurrogate
A novel dimensionless index of optimal vortex formation during early diastole can distinguish between normal and pathological cardiac states using noninvasive LV measurements.
Heart disease remains a leading cause of death worldwide. Previous research has indicated that the dynamics of the cardiac left ventricle (LV) during diastolic filling may play a critical role in dictating overall cardiac health. Hence, numerous studies have aimed to predict and evaluate global cardiac health based on quantitative parameters describing LV function. However, the inherent complexity of LV diastole, in its electrical, muscular, and hemodynamic processes, has prevented the development of tools to accurately predict and diagnose heart failure at early stages, when corrective measures are most effective. In this work, it is demonstrated that major aspects of cardiac function are reflected uniquely and sensitively in the optimization of vortex formation in the blood flow during early diastole, as measured by a dimensionless numerical index. This index of optimal vortex formation correlates well with existing measures of cardiac health such as the LV ejection fraction. However, unlike existing measures, this previously undescribed index does not require patient-specific information to determine numerical index values corresponding to normal function. A study of normal and pathological cardiac health in human subjects demonstrates the ability of this global index to distinguish disease states by a straightforward analysis of noninvasive LV measurements.
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Morteza Gharib
Structural Heart Disease
Edmond Rambod
California Institute of Technology
Arash Kheradvar
Structural Heart Disease
Proceedings of the National Academy of Sciences
California Institute of Technology
Oregon Health & Science University
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Gharib et al. (Tue,) studied this question.
synapsesocial.com/papers/69d7661fb1cb92dd1bb8ae48 — DOI: https://doi.org/10.1073/pnas.0600520103