Literature DB >> 7998684

Simple and accurate way for estimating total and segmental arterial compliance: the pulse pressure method.

N Stergiopulos1, J J Meister, N Westerhof.   

Abstract

We derived and tested a new, simple, and accurate method to estimate the compliance of the entire arterial tree and parts thereof. The method requires the measurements of pressure and flow and is based on fitting the pulse pressure (systolic minus diastolic pressure) predicted by the two-element windkessel model to the measured pulse pressure. We show that the two-element windkessel model accurately describes the modulus of the input impedance at low harmonics (0-4th) of the heart rate so that the gross features of the arterial pressure wave, including pulse pressure, are accounted for. The method was tested using a distributed nonlinear model of the human systemic arterial tree. Pressure and flow were calculated in the ascending aorta, thoracic aorta, common carotid, and iliac artery. In a linear version of the systemic model the estimated compliance was within 1% of the compliance at the first three locations. In the iliac artery an error of 7% was found. In a nonlinear version, we compared the estimates of compliance with the average compliance over the cardiac cycle and the compliance at the mean working pressure. At the first three locations we found the estimated and "actual" compliance to be within 12% of each other. In the iliac artery the error was larger. We also investigated an increase and decrease in heart rate, a decrease in wall elasticity and exercise conditions. In all cases the estimated total arterial compliance was within 10% of mean compliance. Thus, the errors result mainly from the nonlinearity of the arterial system. Segmental compliance can be obtained by subtraction of compliance determined at two locations.

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Year:  1994        PMID: 7998684     DOI: 10.1007/BF02368245

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


  13 in total

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Journal:  Cardiovasc Res       Date:  1984-08       Impact factor: 10.787

7.  The static elastic properties of 45 human thoracic and 20 abdominal aortas in vitro and the parameters of a new model.

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Journal:  J Biomech       Date:  1984       Impact factor: 2.712

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Journal:  Circ Res       Date:  1988-05       Impact factor: 17.367

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  28 in total

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2.  In vivo validation of numerical prediction for turbulence intensity in an aortic coarctation.

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3.  Immersive visualization for enhanced computational fluid dynamics analysis.

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5.  Fluid mechanics of Windkessel effect.

Authors:  C C Mei; J Zhang; H X Jing
Journal:  Med Biol Eng Comput       Date:  2018-01-08       Impact factor: 2.602

6.  Relation of arterial stiffness to diastolic dysfunction in hypertensive heart disease.

Authors:  P M Mottram; B A Haluska; R Leano; S Carlier; C Case; T H Marwick
Journal:  Heart       Date:  2005-12       Impact factor: 5.994

7.  Non-invasive assessment of patient-specific aortic haemodynamics from four-dimensional flow MRI data.

Authors:  Lucian Itu; Dominik Neumann; Viorel Mihalef; Felix Meister; Martin Kramer; Mehmet Gulsun; Marcus Kelm; Titus Kühne; Puneet Sharma
Journal:  Interface Focus       Date:  2017-12-15       Impact factor: 3.906

Review 8.  Clinical achievements of impedance analysis.

Authors:  Gary F Mitchell
Journal:  Med Biol Eng Comput       Date:  2008-10-14       Impact factor: 2.602

Review 9.  Generic and patient-specific models of the arterial tree.

Authors:  Philippe Reymond; Orestis Vardoulis; Nikos Stergiopulos
Journal:  J Clin Monit Comput       Date:  2012-07-29       Impact factor: 2.502

10.  Effect of exercise on patient specific abdominal aortic aneurysm flow topology and mixing.

Authors:  Amirhossein Arzani; Andrea S Les; Ronald L Dalman; Shawn C Shadden
Journal:  Int J Numer Method Biomed Eng       Date:  2013-10-28       Impact factor: 2.747

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