Literature DB >> 16428349

Single-beat estimation of end-diastolic pressure-volume relationship: a novel method with potential for noninvasive application.

Stefan Klotz1, Ilan Hay, Marc L Dickstein, Geng-Hua Yi, Jie Wang, Mathew S Maurer, David A Kass, Daniel Burkhoff.   

Abstract

Whereas end-systolic and end-diastolic pressure-volume relations (ESPVR, EDPVR) characterize left ventricular (LV) pump properties, clinical utility of these relations has been hampered by the need for invasive measurements over a range of pressure and volumes. We propose a single-beat approach to estimate the whole EDPVR from one measured volume-pressure (Vm and Pm) point. Ex vivo EDPVRs were measured from 80 human hearts of different etiologies (normal, congestive heart failure, left ventricular assist device support). Independent of etiology, when EDPVRs were normalized (EDPVRn) by appropriate scaling of LV volumes, EDPVRns were nearly identical and were optimally described by the relation EDP = An.EDV (Bn), with An = 28.2 mmHg and Bn = 2.79. V0 (the volume at the pressure of approximately 0 mmHg) was predicted by using the relation V0 = Vm.(0.6 - 0.006.Pm) and V30 by V30 = V0 + (Vm,n - V0)/(Pm/An) (1/Bn). The entire EDPVR of an individual heart was then predicted by forcing the curve through Vm, Pm, and the predicted V0 and V30. This technique was applied prospectively to the ex vivo human EDPVRs not used in determining optimal An and Bn values and to 36 in vivo human, 12 acute and 14 chronic canine, and 80 in vivo and ex vivo rat studies. The root-mean-square error (RMSE) in pressure between measured and predicted EDPVRs over the range of 0-40 mmHg was < 3 mmHg of measured EDPVR in all settings, indicating a good predictive value of this approach. Volume-normalized EDPVRs have a common shape, despite different etiology and species. This allows the entire curve to be predicted by a new method with a potential for noninvasive application. The results are most accurate when applied to groups of hearts rather than to individual hearts.

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Year:  2006        PMID: 16428349     DOI: 10.1152/ajpheart.01240.2005

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  73 in total

1.  Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation.

Authors:  Roy C P Kerckhoffs; Maxwell L Neal; Quan Gu; James B Bassingthwaighte; Jeff H Omens; Andrew D McCulloch
Journal:  Ann Biomed Eng       Date:  2006-11-08       Impact factor: 3.934

2.  Subject-specific model estimation of cardiac output and blood volume during hemorrhage.

Authors:  Maxwell Lewis Neal; James B Bassingthwaighte
Journal:  Cardiovasc Eng       Date:  2007-09

3.  A multiscale model for the study of cardiac biomechanics in single-ventricle surgeries: a clinical case.

Authors:  Alessio Meoli; Elena Cutrì; Adarsh Krishnamurthy; Gabriele Dubini; Francesco Migliavacca; Tain-Yen Hsia; Giancarlo Pennati; Andrew Taylor; Alessandro Giardini; Sachin Khambadkone; Silvia Schievano; Marc de Leval; T-Y Hsia; Edward Bove; Adam Dorfman; G Hamilton Baker; Anthony Hlavacek; Francesco Migliavacca; Giancarlo Pennati; Gabriele Dubini; Alison Marsden; Jeffrey Feinstein; Irene Vignon-Clementel; Richard Figliola; John McGregor
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

4.  The impact of arterial load on left ventricular performance: an invasive haemodynamic study in severe mitral stenosis.

Authors:  Ashwin Venkateshvaran; Srikanth Sola; Satish Chandra Govind; Pravat Kumar Dash; Banajit Barooah; Kambiz Shahgaldi; Anders Sahlén; Lars Lund; Reidar Winter; Anikó Ilona Nagy; Aristomenis Manouras
Journal:  J Physiol       Date:  2015-02-09       Impact factor: 5.182

5.  A framework for biomechanics simulations using four-chamber cardiac models.

Authors:  Arian Jafari; Edward Pszczolkowski; Adarsh Krishnamurthy
Journal:  J Biomech       Date:  2019-05-21       Impact factor: 2.712

6.  Optimization Framework for Patient-Specific Cardiac Modeling.

Authors:  Joshua Mineroff; Andrew D McCulloch; David Krummen; Baskar Ganapathysubramanian; Adarsh Krishnamurthy
Journal:  Cardiovasc Eng Technol       Date:  2019-09-17       Impact factor: 2.495

7.  Intra-myocardial alginate hydrogel injection acts as a left ventricular mid-wall constraint in swine.

Authors:  Kevin L Sack; Eric Aliotta; Jenny S Choy; Daniel B Ennis; Neil H Davies; Thomas Franz; Ghassan S Kassab; Julius M Guccione
Journal:  Acta Biomater       Date:  2020-05-16       Impact factor: 8.947

Review 8.  Echocardiographic assessment of pressure volume relations in heart failure and valvular heart disease: using imaging to understand physiology.

Authors:  P Green; S Kodali; M B Leon; M S Maurer
Journal:  Minerva Cardioangiol       Date:  2011-08       Impact factor: 1.347

9.  Speckle tracking echocardiography could detect the difference of pressure overload-induced myocardial remodelling between young and adult rats.

Authors:  Pei Niu; Li Li; Zhongjie Yin; Jie Du; Wenchang Tan; Yunlong Huo
Journal:  J R Soc Interface       Date:  2020-02-26       Impact factor: 4.118

10.  Prognostic importance of pathophysiologic markers in patients with heart failure and preserved ejection fraction.

Authors:  Michael A Burke; Daniel H Katz; Lauren Beussink; Senthil Selvaraj; Deepak K Gupta; Justin Fox; Sudarsana Chakrabarti; Andrew J Sauer; Jonathan D Rich; Benjamin H Freed; Sanjiv J Shah
Journal:  Circ Heart Fail       Date:  2013-12-23       Impact factor: 8.790

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