Literature DB >> 10986584

Modeling of diastole.

S J Kovács1, J S Meisner, E L Yellin.   

Abstract

Modeling methods have been employed to further characterize the physical and physiologic processes of filling and diastolic function. They have led to more detailed understanding of the effect of alteration of physiologic parameters on the Doppler E-wave contour as well as pulmonary vein flow. Depending on the modeling approach, different aspects of the filling process have been considered from AV gradient and net compliance to atrial appendage function to the mechanical suction pump attribute of the heart. The models have been applied for further characterization of diastolic function and elucidation of novel basic physiologic relations. We trust that readers recognize that this article could not serve as a comprehensive and global review of the state-of-the-art in physiologic modeling, but rather as a selective overview, with emphasis on the main modeling principles and options currently in use. Modeling of systems physiology, especially as it relates to the function of the four-chamber heart, remains a fertile area of investigation. Future progress is likely to have profound influence on (noninvasive) diagnosis and quantitation of the effect of therapy and lead to continued discovery of "new" (macroscopic, cellular, and molecular biologic) physiology.

Mesh:

Year:  2000        PMID: 10986584     DOI: 10.1016/s0733-8651(05)70156-9

Source DB:  PubMed          Journal:  Cardiol Clin        ISSN: 0733-8651            Impact factor:   2.213


  11 in total

1.  Point: Left ventricular volume during diastasis is the physiological in vivo equilibrium volume and is related to diastolic suction.

Authors:  Leonid Shmuylovich; Charles S Chung; Sándor J Kovács
Journal:  J Appl Physiol (1985)       Date:  2009-12-24

2.  Quantification of global diastolic function by kinematic modeling-based analysis of transmitral flow via the parametrized diastolic filling formalism.

Authors:  Sina Mossahebi; Simeng Zhu; Howard Chen; Leonid Shmuylovich; Erina Ghosh; Sándor J Kovács
Journal:  J Vis Exp       Date:  2014-09-01       Impact factor: 1.355

3.  Assessment of left ventricular diastolic function by MR: why, how and when.

Authors:  Ricardo Duarte; Gabriel Fernandez
Journal:  Insights Imaging       Date:  2010-06-15

4.  Need for Speed: The Importance of Physiological Strain Rates in Determining Myocardial Stiffness.

Authors:  Matthew A Caporizzo; Benjamin L Prosser
Journal:  Front Physiol       Date:  2021-07-30       Impact factor: 4.755

5.  The kinematic filling efficiency index of the left ventricle: contrasting normal vs. diabetic physiology.

Authors:  Wei Zhang; Charles S Chung; Matt M Riordan; Yue Wu; Leonid Shmuylovich; Sándor J Kovács
Journal:  Ultrasound Med Biol       Date:  2007-05-03       Impact factor: 2.998

6.  Relationship of age and exercise performance in patients with heart failure: the HF-ACTION study.

Authors:  Daniel E Forman; Robert Clare; Dalane W Kitzman; Stephen J Ellis; Jerome L Fleg; Toni Chiara; Gerald Fletcher; William E Kraus
Journal:  Am Heart J       Date:  2009-10       Impact factor: 4.749

7.  The age dependence of left ventricular filling efficiency.

Authors:  Wei Zhang; Sándor J Kovács
Journal:  Ultrasound Med Biol       Date:  2009-05-07       Impact factor: 2.998

8.  Diastolic Function in Normal Sinus Rhythm vs. Chronic Atrial Fibrillation: Comparison by Fractionation of E-wave Deceleration Time into Stiffness and Relaxation Components.

Authors:  Sina Mossahebi; Sándor J Kovács
Journal:  J Atr Fibrillation       Date:  2014-04-30

Review 9.  Diastolic function in heart failure.

Authors:  Sándor J Kovács
Journal:  Clin Med Insights Cardiol       Date:  2015-04-15

10.  The vortex formation time to diastolic function relation: assessment of pseudonormalized versus normal filling.

Authors:  Erina Ghosh; Sándor J Kovács
Journal:  Physiol Rep       Date:  2013-11-26
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