Literature DB >> 18595354

Three- and four-element Windkessel models: assessment of their fitting performance in a large cohort of healthy middle-aged individuals.

P Segers1, E R Rietzschel, M L De Buyzere, N Stergiopulos, N Westerhof, L M Van Bortel, T Gillebert, P R Verdonck.   

Abstract

Lumped-parameter models are used to estimate the global arterial properties by fitting the model to measured (aortic) pressure and flow. Different model configurations coexist, and it is still an open question as to which model optimally reflects the arterial tree and leads to correct estimates of arterial properties. An assessment was made of the performance of (a) the three-element Windkessel model (WK3) consisting of vascular resistance R, total arterial compliance C, and characteristic impedance Zc; (b) a four-element model with an inertance element L placed in parallel with Zc (WK4-p); and (c) a four-element model with L placed in series with Zc (WK4-s). Models were fitted to data measured non-invasively in 2404 healthy subjects, aged between 35 and 55 years. It was found that model performance segregated into two groups. In a group containing 20 per cent of the dataset (characterized by low blood pressure and wave reflection) the WK4-p model outperformed the other models, with model behaviour as envisioned by its promoters. In these cases, the WK3 and WK4-s models led to increased overestimation of total arterial compliance and underestimation of characteristic impedance. However, in about 80 per cent of the cases, the WK4-p model showed a behaviour that was very similar to that of the WK3 and WK4-s models. Here, the WK4-s model yielded the best quality of fit, although model parameters reached physically impossible values for L in about 12 per cent of all cases. The debate about which lumped-parameter model is the better approximation of the arterial tree is therefore still not fully resolved.

Mesh:

Year:  2008        PMID: 18595354     DOI: 10.1243/09544119JEIM287

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  21 in total

1.  Ventricular-arterial coupling: Invasive and non-invasive assessment.

Authors:  Julio A Chirinos
Journal:  Artery Res       Date:  2013-03       Impact factor: 0.597

2.  Multilayer flow modulator enhances vital organ perfusion in patients with type B aortic dissection.

Authors:  Farhad Rikhtegar Nezami; Lambros S Athanasiou; Junedh M Amrute; Elazer R Edelman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-08-10       Impact factor: 4.733

Review 3.  Lumped parameter model for hemodynamic simulation of congenital heart diseases.

Authors:  Shuji Shimizu; Dai Une; Toru Kawada; Yohsuke Hayama; Atsunori Kamiya; Toshiaki Shishido; Masaru Sugimachi
Journal:  J Physiol Sci       Date:  2017-12-21       Impact factor: 2.781

4.  An analysis of deformation-dependent electromechanical coupling in the mouse heart.

Authors:  Sander Land; Steven A Niederer; Jan Magnus Aronsen; Emil K S Espe; Lili Zhang; William E Louch; Ivar Sjaastad; Ole M Sejersted; Nicolas P Smith
Journal:  J Physiol       Date:  2012-05-21       Impact factor: 5.182

5.  A time-invariant visco-elastic windkessel model relating blood flow and blood volume.

Authors:  Ying Zheng; John Mayhew
Journal:  Neuroimage       Date:  2009-04-14       Impact factor: 6.556

6.  Inverse problems in reduced order models of cardiovascular haemodynamics: aspects of data assimilation and heart rate variability.

Authors:  Sanjay Pant; Chiara Corsini; Catriona Baker; Tain-Yen Hsia; Giancarlo Pennati; Irene E Vignon-Clementel
Journal:  J R Soc Interface       Date:  2017-01       Impact factor: 4.118

7.  Determination of Aortic Characteristic Impedance and Total Arterial Compliance From Regional Pulse Wave Velocities Using Machine Learning: An in-silico Study.

Authors:  Vasiliki Bikia; Georgios Rovas; Stamatia Pagoulatou; Nikolaos Stergiopulos
Journal:  Front Bioeng Biotechnol       Date:  2021-05-13

Review 8.  Review of zero-D and 1-D models of blood flow in the cardiovascular system.

Authors:  Yubing Shi; Patricia Lawford; Rodney Hose
Journal:  Biomed Eng Online       Date:  2011-04-26       Impact factor: 2.819

9.  Association Between Obesity and Blood Pressure in Common Korean People.

Authors:  Nam Lyong Kang
Journal:  Vasc Health Risk Manag       Date:  2021-06-28

10.  Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart.

Authors:  Elham Kayvanpour; Tommaso Mansi; Farbod Sedaghat-Hamedani; Ali Amr; Dominik Neumann; Bogdan Georgescu; Philipp Seegerer; Ali Kamen; Jan Haas; Karen S Frese; Maria Irawati; Emil Wirsz; Vanessa King; Sebastian Buss; Derliz Mereles; Edgar Zitron; Andreas Keller; Hugo A Katus; Dorin Comaniciu; Benjamin Meder
Journal:  PLoS One       Date:  2015-07-31       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.