Literature DB >> 4073625

Identification of canine coronary resistance and intramyocardial compliance on the basis of the waterfall model.

R Burattini, P Sipkema, G A van Huis, N Westerhof.   

Abstract

This study was performed to elucidate the effects of cardiac contraction on coronary pressure-flow relations. On the basis of the waterfall mechanism, a lumped model of the coronary arterial system is presented consisting of a proximal (epicardial) compliance, a coronary resistance, and an intramyocardial compliance. A "back"-pressure, assumed to be proportional (constant k) to left ventricular pressure, impedes flow. From steady-state measurements of circumflex coronary artery flow and inflow pressure, together with left ventricular pressure, the values of the three model parameters and the constant k have been estimated. In the control condition proximal compliance is found to be 1.7 X 10(-12) m4s2kg-1, intramyocardial compliance 110 X 10(-12)m4s2kg-1, and resistance 7.5 X 10(9) kgm-4s-1. The proportionality constant k is close to unity. Effects of changes in left ventricular pressure and inflow pressure and the effect of vasoactive drugs on the parameters are also investigated. Changes in coronary resistance are always opposite to changes in intramyocardial compliance. Sensitivity analysis showed that epicardial compliance plays its major role during isovolumic contraction and relaxation; resistance plays a role throughout the cardiac cycle but is more important in diastole than in systole, whereas intramyocardial compliance plays a role in systole and in early diastole.

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Year:  1985        PMID: 4073625     DOI: 10.1007/BF02407768

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  19 in total

1.  NONUNIFORM DISTRIBUTION OF BLOOD FLOW AND GRADIENTS OF OXYGEN TENSION WITHIN THE HEART.

Authors:  E S KIRK; C R HONIG
Journal:  Am J Physiol       Date:  1964-09

2.  HEMODYNAMICS OF COLLAPSIBLE VESSELS WITH TONE: THE VASCULAR WATERFALL.

Authors:  S PERMUTT; R L RILEY
Journal:  J Appl Physiol       Date:  1963-09       Impact factor: 3.531

3.  The estimation of coronary volume elasticity in the beating heart of the dog.

Authors:  P J Lewi; W K Schaper
Journal:  Pflugers Arch       Date:  1971       Impact factor: 3.657

4.  Coronary pressure-flow relations and the vascular waterfall.

Authors:  N Westerhof; P Sipkema; G A Van Huis
Journal:  Cardiovasc Res       Date:  1983-03       Impact factor: 10.787

5.  Influence of autoregulation and capacitance on diastolic coronary artery pressure-flow relationships in the dog.

Authors:  W P Dole; V S Bishop
Journal:  Circ Res       Date:  1982-09       Impact factor: 17.367

6.  Sensitivity analysis and improved identification of a systemic arterial model.

Authors:  R A Paulsen; J W Clark; P H Murphy; J A Burdine
Journal:  IEEE Trans Biomed Eng       Date:  1982-03       Impact factor: 4.538

7.  A comparison of digital algorithms used in computing the derivative of left ventricular pressure.

Authors:  A E Marble; C M McIntyre; R Hastings-James; C W Hor
Journal:  IEEE Trans Biomed Eng       Date:  1981-07       Impact factor: 4.538

8.  Diastolic-systolic coronary flow differences are caused by intramyocardial pump action in the anesthetized dog.

Authors:  J A Spaan; N P Breuls; J D Laird
Journal:  Circ Res       Date:  1981-09       Impact factor: 17.367

9.  Calculation of coronary vascular resistance.

Authors:  R F Bellamy
Journal:  Cardiovasc Res       Date:  1980-05       Impact factor: 10.787

10.  Intramyocardial pressure and distribution of coronary blood flow during systole and diastole in the horse.

Authors:  R L Hamlin; M J Levesque; M D Kittleson
Journal:  Cardiovasc Res       Date:  1982-05       Impact factor: 10.787

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  11 in total

1.  Parametric analysis of flow in the intramyocardial circulation.

Authors:  R Holenstein; R M Nerem
Journal:  Ann Biomed Eng       Date:  1990       Impact factor: 3.934

2.  Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery.

Authors:  Sethuraman Sankaran; Mahdi Esmaily Moghadam; Andrew M Kahn; Elaine E Tseng; Julius M Guccione; Alison L Marsden
Journal:  Ann Biomed Eng       Date:  2012-04-27       Impact factor: 3.934

3.  A mathematical study of human intracranial hydrodynamics. Part 1--The cerebrospinal fluid pulse pressure.

Authors:  M Ursino
Journal:  Ann Biomed Eng       Date:  1988       Impact factor: 3.934

4.  Parameter identification in coronary pressure flow models: a graphical approach.

Authors:  P A Harris; S Bosan; T R Harris; M H Laughlin; K A Overholser
Journal:  Ann Biomed Eng       Date:  1994 Nov-Dec       Impact factor: 3.934

5.  Analysis of flow in coronary epicardial arterial tree and intramyocardial circulation.

Authors:  D Manor; S Sideman; U Dinnar; R Beyar
Journal:  Med Biol Eng Comput       Date:  1994-07       Impact factor: 2.602

6.  Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease.

Authors:  Dibyendu Sengupta; Andrew M Kahn; Jane C Burns; Sethuraman Sankaran; Shawn C Shadden; Alison L Marsden
Journal:  Biomech Model Mechanobiol       Date:  2011-11-27

7.  Thrombotic risk stratification using computational modeling in patients with coronary artery aneurysms following Kawasaki disease.

Authors:  Dibyendu Sengupta; Andrew M Kahn; Ethan Kung; Mahdi Esmaily Moghadam; Olga Shirinsky; Galina A Lyskina; Jane C Burns; Alison L Marsden
Journal:  Biomech Model Mechanobiol       Date:  2014-04-11

8.  Hemodynamics analysis of the serial stenotic coronary arteries.

Authors:  Xin Liu; Changnong Peng; Yufa Xia; Zhifan Gao; Pengcheng Xu; Xiaoqing Wang; Zhanchao Xian; Youbing Yin; Liqun Jiao; Defeng Wang; Lin Shi; Wenhua Huang; Xin Liu; Heye Zhang
Journal:  Biomed Eng Online       Date:  2017-11-09       Impact factor: 2.819

Review 9.  The multi-scale modelling of coronary blood flow.

Authors:  Jack Lee; Nicolas P Smith
Journal:  Ann Biomed Eng       Date:  2012-05-08       Impact factor: 3.934

10.  Impact of coronary tortuosity on coronary blood supply: a patient-specific study.

Authors:  Xinzhou Xie; Yuanyuan Wang; Hongmin Zhu; Hu Zhou; Jingmin Zhou
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

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