Christopher M Haggerty1, Maria Restrepo1, Elaine Tang1, Diane A de Zélicourt2, Kartik S Sundareswaran1, Lucia Mirabella1, James Bethel3, Kevin K Whitehead4, Mark A Fogel4, Ajit P Yoganathan5. 1. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Ga. 2. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Ga; Interface Group, Institute of Physiology, University of Zürich, Zürich, Switzerland. 3. Westat, Inc, Rockville, Md. 4. Division of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pa. 5. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta, Ga. Electronic address: ajit.yoganathan@bme.gatech.edu.
Abstract
OBJECTIVES: This study sought to quantify average hemodynamic metrics of the Fontan connection as reference for future investigations, compare connection types (intra-atrial vs extracardiac), and identify functional correlates using computational fluid dynamics in a large patient-specific cohort. Fontan hemodynamics, particularly power losses, are hypothesized to vary considerably among patients with a single ventricle and adversely affect systemic hemodynamics and ventricular function if suboptimal. METHODS: Fontan connection models were created from cardiac magnetic resonance scans for 100 patients. Phase velocity cardiac magnetic resonance in the aorta, vena cavae, and pulmonary arteries was used to prescribe patient-specific time-averaged flow boundary conditions for computational fluid dynamics with a customized, validated solver. Comparison with 4-dimensional cardiac magnetic resonance velocity data from selected patients was used to provide additional verification of simulations. Indexed Fontan power loss, connection resistance, and hepatic flow distribution were quantified and correlated with systemic patient characteristics. RESULTS: Indexed power loss varied by 2 orders of magnitude, whereas, on average, Fontan resistance was 15% to 20% of published values of pulmonary vascular resistance in single ventricles. A significant inverse relationship was observed between indexed power loss and both systemic venous flow and cardiac index. Comparison by connection type showed no differences between intra-atrial and extracardiac connections. Instead, the least efficient connections revealed adverse consequences from localized Fontan pathway stenosis. CONCLUSIONS: Fontan power loss varies from patient to patient, and elevated levels are correlated with lower systemic flow and cardiac index. Fontan connection type does not influence hemodynamic efficiency, but an undersized or stenosed Fontan pathway or pulmonary arteries can be highly dissipative.
OBJECTIVES: This study sought to quantify average hemodynamic metrics of the Fontan connection as reference for future investigations, compare connection types (intra-atrial vs extracardiac), and identify functional correlates using computational fluid dynamics in a large patient-specific cohort. Fontan hemodynamics, particularly power losses, are hypothesized to vary considerably among patients with a single ventricle and adversely affect systemic hemodynamics and ventricular function if suboptimal. METHODS: Fontan connection models were created from cardiac magnetic resonance scans for 100 patients. Phase velocity cardiac magnetic resonance in the aorta, vena cavae, and pulmonary arteries was used to prescribe patient-specific time-averaged flow boundary conditions for computational fluid dynamics with a customized, validated solver. Comparison with 4-dimensional cardiac magnetic resonance velocity data from selected patients was used to provide additional verification of simulations. Indexed Fontan power loss, connection resistance, and hepatic flow distribution were quantified and correlated with systemic patient characteristics. RESULTS: Indexed power loss varied by 2 orders of magnitude, whereas, on average, Fontan resistance was 15% to 20% of published values of pulmonary vascular resistance in single ventricles. A significant inverse relationship was observed between indexed power loss and both systemic venous flow and cardiac index. Comparison by connection type showed no differences between intra-atrial and extracardiac connections. Instead, the least efficient connections revealed adverse consequences from localized Fontan pathway stenosis. CONCLUSIONS: Fontan power loss varies from patient to patient, and elevated levels are correlated with lower systemic flow and cardiac index. Fontan connection type does not influence hemodynamic efficiency, but an undersized or stenosed Fontan pathway or pulmonary arteries can be highly dissipative.
Authors: David H Frakes; Mark J T Smith; James Parks; Shiva Sharma; S Mark Fogel; Ajit P Yoganathan Journal: J Cardiovasc Magn Reson Date: 2005 Impact factor: 5.364
Authors: Andrew C Fiore; Mark Turrentine; Mark Rodefeld; Palaniswamy Vijay; Theresa L Schwartz; Katherine S Virgo; Laurice K Fischer; John W Brown Journal: Ann Thorac Surg Date: 2007-02 Impact factor: 4.330
Authors: Alison L Marsden; Adam J Bernstein; V Mohan Reddy; Shawn C Shadden; Ryan L Spilker; Frandics P Chan; Charles A Taylor; Jeffrey A Feinstein Journal: J Thorac Cardiovasc Surg Date: 2009-02 Impact factor: 5.209
Authors: J William Gaynor; Nancy D Bridges; Mitchell I Cohen; William T Mahle; William M Decampli; James M Steven; Susan C Nicolson; Thomas L Spray Journal: J Thorac Cardiovasc Surg Date: 2002-02 Impact factor: 5.209
Authors: S Sharma; S Goudy; P Walker; S Panchal; A Ensley; K Kanter; V Tam; D Fyfe; A Yoganathan Journal: J Am Coll Cardiol Date: 1996-04 Impact factor: 24.094
Authors: Kartik S Sundareswaran; Christopher M Haggerty; Diane de Zélicourt; Lakshmi P Dasi; Kerem Pekkan; David H Frakes; Andrew J Powell; Kirk R Kanter; Mark A Fogel; Ajit P Yoganathan Journal: J Thorac Cardiovasc Surg Date: 2011-11-16 Impact factor: 5.209
Authors: Christopher M Haggerty; Kirk R Kanter; Maria Restrepo; Diane A de Zélicourt; W James Parks; Jarek Rossignac; Mark A Fogel; Ajit P Yoganathan Journal: J Thorac Cardiovasc Surg Date: 2012-05-04 Impact factor: 5.209
Authors: Lakshmi P Dasi; Resmi Krishnankuttyrema; Hiroumi D Kitajima; Kerem Pekkan; Kartik S Sundareswaran; Mark Fogel; Shiva Sharma; Kevin Whitehead; Kirk Kanter; Ajit P Yoganathan Journal: J Thorac Cardiovasc Surg Date: 2009-03 Impact factor: 5.209
Authors: Maria Restrepo; Mark Luffel; Jake Sebring; Kirk Kanter; Pedro Del Nido; Alessandro Veneziani; Jarek Rossignac; Ajit Yoganathan Journal: Ann Biomed Eng Date: 2014-10-15 Impact factor: 3.934
Authors: Christopher M Haggerty; Kevin K Whitehead; James Bethel; Mark A Fogel; Ajit P Yoganathan Journal: Ann Thorac Surg Date: 2015-01-22 Impact factor: 4.330
Authors: Zhenglun Alan Wei; Phillip M Trusty; Mike Tree; Christopher M Haggerty; Elaine Tang; Mark Fogel; Ajit P Yoganathan Journal: J Biomech Date: 2016-11-10 Impact factor: 2.712
Authors: Zhenglun Alan Wei; Michael Tree; Phillip M Trusty; Wenjun Wu; Shelly Singh-Gryzbon; Ajit Yoganathan Journal: Ann Biomed Eng Date: 2017-11-01 Impact factor: 3.934