Articles by Simeng Zhu in JoVE
Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism Sina Mossahebi2,5, Simeng Zhu2,5, Howard Chen1,5, Leonid Shmuylovich3,5, Erina Ghosh1,5, Sándor J. Kovács4,5 1Department of Biomedical Engineering, Washington University in St. Louis, 2Department of Physics, Washington University in St. Louis, 3Division of Biology and Biomedical Sciences, Washington University in St. Louis, 4Department of Medicine, Cardiovascular Division, Washington University in St. Louis, 5Cardiovascular Biophysics Lab, Washington University in St. Louis Accurate, causality-based quantification of global diastolic function has been achieved by kinematic modeling-based analysis of transmitral flow via the Parametrized Diastolic Filling (PDF) formalism. PDF generates unique stiffness, relaxation, and load parameters and elucidates 'new' physiology while providing sensitive and specific indexes of dysfunction.
Other articles by Simeng Zhu on PubMed
Low-Sodium DASH Diet Improves Diastolic Function and Ventricular-Arterial Coupling in Hypertensive Heart Failure with Preserved Ejection Fraction Circulation. Heart Failure. Aug, 2013 | Pubmed ID: 23985432 -Heart failure with preserved ejection fraction (HFPEF) involves failure of cardiovascular reserve in multiple domains. In HFPEF animal models, dietary sodium restriction improves ventricular and vascular stiffness and function. We hypothesized that the sodium-restricted Dietary Approaches to Stop Hypertension diet (DASH/SRD) would improve left ventricular diastolic function, arterial elastance, and ventricular-arterial (V-A) coupling in hypertensive HFPEF.
Fractionating E-wave Deceleration Time into Its Stiffness and Relaxation Components Distinguishes Pseudonormal from Normal Filling Circulation. Cardiovascular Imaging. Jan, 2015 | Pubmed ID: 25596141 Pseudonormal Doppler E-wave filling patterns indicate diastolic dysfunction but are indistinguishable from the normal filling pattern. For accurate classification, maneuvers to alter load or to additionally measure peak E' are required. E-wave deceleration time (DT) has been fractionated into its stiffness (DTs) and relaxation (DTr) components (DT=DTs+DTr) by analyzing E-waves via the parametrized diastolic filling formalism. The method has been validated with DTs and DTr correlating with simultaneous catheterization-derived stiffness (dP/dV) and relaxation (τ) with r=0.82 and r=0.94, respectively. We hypothesize that DT fractionation can (1) distinguish between unblinded (E' known) normal versus pseudonormal age-matched groups with normal left ventricular ejection fraction, and (2) distinguish between blinded (E' unknown) normal versus pseudonormal groups, based solely on E-wave analysis.