Literature DB >> 19554450

Modeling the instantaneous pressure-volume relation of the left ventricle: a comparison of six models.

Jan-Willem Lankhaar1, Fleur A Rövekamp, Paul Steendijk, Theo J C Faes, Berend E Westerhof, Taco Kind, Anton Vonk-Noordegraaf, Nico Westerhof.   

Abstract

Simulations are useful to study the heart's ability to generate flow and the interaction between contractility and loading conditions. The left ventricular pressure-volume (PV) relation has been shown to be nonlinear, but it is unknown whether a linear model is accurate enough for simulations. Six models were fitted to the PV-data measured in five sheep and the estimated parameters were used to simulate PV-loops. Simulated and measured PV-loops were compared with the Akaike information criterion (AIC) and the Hamming distance, a measure for geometric shape similarity. The compared models were: a time-varying elastance model with fixed volume intercept (LinFix); a time-varying elastance model with varying volume intercept (LinFree); a Langewouter's pressure-dependent elasticity model (Langew); a sigmoidal model (Sigm); a time-varying elastance model with a systolic flow-dependent resistance (Shroff) and a model with a linear systolic and an exponential diastolic relation (Burkh). Overall, the best model is LinFree (lowest AIC), closely followed by Langew. The remaining models rank: Sigm, Shroff, LinFix and Burkh. If only the shape of the PV-loops is important, all models perform nearly identically (Hamming distance between 20 and 23%). For realistic simulation of the instantaneous PV-relation a linear model suffices.

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Year:  2009        PMID: 19554450      PMCID: PMC3233835          DOI: 10.1007/s10439-009-9742-x

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


  26 in total

Review 1.  Assessment of systolic and diastolic ventricular properties via pressure-volume analysis: a guide for clinical, translational, and basic researchers.

Authors:  Daniel Burkhoff; Israel Mirsky; Hiroyuki Suga
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-08       Impact factor: 4.733

2.  Left ventricular wall stress normalization in chronic pressure-overloaded heart: a mathematical model study.

Authors:  P Segers; N Stergiopulos; J J Schreuder; B E Westerhof; N Westerhof
Journal:  Am J Physiol Heart Circ Physiol       Date:  2000-09       Impact factor: 4.733

3.  Single-beat estimation of end-systolic pressure-volume relation in humans. A new method with the potential for noninvasive application.

Authors:  H Senzaki; C H Chen; D A Kass
Journal:  Circulation       Date:  1996-11-15       Impact factor: 29.690

4.  Pressure-volume relation around zero transmural pressure in excised cross-circulated dog left ventricle.

Authors:  H Suga; Y Yasumura; T Nozawa; S Futaki; N Tanaka
Journal:  Circ Res       Date:  1988-08       Impact factor: 17.367

5.  Left ventricular internal resistance and unloaded ejection flow assessed from pressure-flow relations: a flow-clamp study on isolated rabbit hearts.

Authors:  S R Vaartjes; H B Boom
Journal:  Circ Res       Date:  1987-05       Impact factor: 17.367

6.  Influence of contractile state on curvilinearity of in situ end-systolic pressure-volume relations.

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Journal:  Circulation       Date:  1989-01       Impact factor: 29.690

7.  Systolic mechanical properties of the left ventricle. Effects of volume and contractile state.

Authors:  W C Hunter; J S Janicki; K T Weber; A Noordergraaf
Journal:  Circ Res       Date:  1983-03       Impact factor: 17.367

8.  Determinants of instantaneous pressure in canine left ventricle. Time and volume specification.

Authors:  H Suga; K Sagawa; L Demer
Journal:  Circ Res       Date:  1980-02       Impact factor: 17.367

9.  "Pressure-volume" relations in isolated cat trabecula.

Authors:  G Elzinga; N Westerhof
Journal:  Circ Res       Date:  1981-08       Impact factor: 17.367

10.  Quantification of right ventricular afterload in patients with and without pulmonary hypertension.

Authors:  Jan-Willem Lankhaar; Nico Westerhof; Theo J C Faes; Koen M J Marques; J Tim Marcus; Piet E Postmus; Anton Vonk-Noordegraaf
Journal:  Am J Physiol Heart Circ Physiol       Date:  2006-05-12       Impact factor: 4.733

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2.  Practical Use of Regularization in Individualizing a Mathematical Model of Cardiovascular Hemodynamics Using Scarce Data.

Authors:  Ali Tivay; Xin Jin; Alex Kai-Yuan Lo; Christopher G Scully; Jin-Oh Hahn
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3.  Non-linearity of end-systolic pressure-volume relation in afterload increases is caused by an overlay of shortening deactivation and the Frank-Starling mechanism.

Authors:  Moriz A Habigt; Michelle Krieger; Jonas Gesenhues; Maike Ketelhut; Mare Mechelinck; Marc Hein
Journal:  Sci Rep       Date:  2021-02-08       Impact factor: 4.379

4.  A technical and data analytic approach to pressure-volume loops over numerous cardiac cycles.

Authors:  David P Stonko; Joseph Edwards; Hossam Abdou; Noha N Elansary; Eric Lang; Samuel G Savidge; Jonathan J Morrison
Journal:  JVS Vasc Sci       Date:  2022-01-04

Review 5.  CARDIOSIM©: The First Italian Software Platform for Simulation of the Cardiovascular System and Mechanical Circulatory and Ventilatory Support.

Authors:  Beatrice De Lazzari; Roberto Badagliacca; Domenico Filomena; Silvia Papa; Carmine Dario Vizza; Massimo Capoccia; Claudio De Lazzari
Journal:  Bioengineering (Basel)       Date:  2022-08-11

6.  A multi-scale cardiovascular system model can account for the load-dependence of the end-systolic pressure-volume relationship.

Authors:  Antoine Pironet; Thomas Desaive; Sarah Kosta; Alexandra Lucas; Sabine Paeme; Arnaud Collet; Christopher G Pretty; Philippe Kolh; Pierre C Dauby
Journal:  Biomed Eng Online       Date:  2013-01-30       Impact factor: 2.819

7.  Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis.

Authors:  Massimo Capoccia; Silvia Marconi; Sanjeet Avtaar Singh; Domenico M Pisanelli; Claudio De Lazzari
Journal:  Biomed Eng Online       Date:  2018-05-02       Impact factor: 2.819

8.  Mathematical modeling of cardiac function to evaluate clinical cases in adults and children.

Authors:  Selim Bozkurt
Journal:  PLoS One       Date:  2019-10-31       Impact factor: 3.240

  8 in total

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