Affordable Access

deepdyve-link
Publisher Website

Personalized Computer Simulation of Diastolic Function in Heart Failure.

Authors
  • Amr, Ali1
  • Kayvanpour, Elham1
  • Sedaghat-Hamedani, Farbod1
  • Passerini, Tiziano2
  • Mihalef, Viorel2
  • Lai, Alan3
  • Neumann, Dominik2
  • Georgescu, Bogdan2
  • Buss, Sebastian3
  • Mereles, Derliz3
  • Zitron, Edgar3
  • Posch, Andreas E4
  • Würstle, Maximilian4
  • Mansi, Tommaso2
  • Katus, Hugo A1
  • Meder, Benjamin5
  • 1 Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Heidelberg/Mannheim, Germany. , (Germany)
  • 2 Siemens Healthcare, Medical Imaging Technologies, Princeton, NJ 08540, USA.
  • 3 Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, 69120 Heidelberg, Germany. , (Germany)
  • 4 Siemens Healthcare, Strategy and Innovation, 91052 Erlangen, Germany. , (Germany)
  • 5 Institute for Cardiomyopathies, Department of Medicine III, University of Heidelberg, 69120 Heidelberg, Germany; German Centre for Cardiovascular Research (DZHK), Heidelberg/Mannheim, Germany. Electronic address: [email protected] , (Germany)
Type
Published Article
Journal
Genomics, proteomics & bioinformatics
Publication Date
Aug 01, 2016
Volume
14
Issue
4
Pages
244–252
Identifiers
DOI: 10.1016/j.gpb.2016.04.006
PMID: 27477449
Source
Medline
Keywords
License
Unknown

Abstract

The search for a parameter representing left ventricular relaxation from non-invasive and invasive diagnostic tools has been extensive, since heart failure (HF) with preserved ejection fraction (HF-pEF) is a global health problem. We explore here the feasibility using patient-specific cardiac computer modeling to capture diastolic parameters in patients suffering from different degrees of systolic HF. Fifty eight patients with idiopathic dilated cardiomyopathy have undergone thorough clinical evaluation, including cardiac magnetic resonance imaging (MRI), heart catheterization, echocardiography, and cardiac biomarker assessment. A previously-introduced framework for creating multi-scale patient-specific cardiac models has been applied on all these patients. Novel parameters, such as global stiffness factor and maximum left ventricular active stress, representing cardiac active and passive tissue properties have been computed for all patients. Invasive pressure measurements from heart catheterization were then used to evaluate ventricular relaxation using the time constant of isovolumic relaxation Tau (τ). Parameters from heart catheterization and the multi-scale model have been evaluated and compared to patient clinical presentation. The model parameter global stiffness factor, representing diastolic passive tissue properties, is correlated significantly across the patient population with τ. This study shows that multi-modal cardiac models can successfully capture diastolic (dys) function, a prerequisite for future clinical trials on HF-pEF.

Report this publication

Statistics

Seen <100 times