Research Papers

A Simulation Protocol for Exercise Physiology in Fontan Patients Using a Closed Loop Lumped-Parameter Model

[+] Author and Article Information
Ethan Kung

Mechanical and Aerospace
Engineering Department,
University of California San Diego,
9500 Gilman Drive MC 0411,
La Jolla, CA 92093
e-mail: keo@ucsd.edu

Giancarlo Pennati

Laboratory of Biological Structure Mechanics,
Department of Chemistry, Materials
and Chemical Engineering “Giulio Natta”,
Politecnico di Milano,
Piazza Leonardo da Vinci, 32,
Milan 20133, Italy
e-mail: giancarlo.pennati@polimi.it

Francesco Migliavacca

Laboratory of Biological Structure Mechanics,
Department of Chemistry, Materials
and Chemical Engineering “Giulio Natta”,
Politecnico di Milano,
Piazza Leonardo da Vinci, 32,
Milan 20133, Italy
e-mail: francesco.migliavacca@polimi.it

Tain-Yen Hsia

Cardiorespiratory Unit,
Great Ormond Street Hospital for Children,
7th Floor, Nurses Home,
London WC1N 3JH, UK
e-mail: hsiat@gosh.nhs.uk

Richard Figliola

Mechanical Engineering Department,
Clemson University,
216 South Palmetto Boulevard,
Clemson, SC 29634-0921
e-mail: fgliola@clemson.edu

Alison Marsden

Mechanical and Aerospace
Engineering Department,
University of California San Diego,
9500 Gilman Drive MC 0411,
La Jolla, CA 92093
e-mail: amarsden@eng.ucsd.edu

Alessandro Giardini

Cardiorespiratory Unit,
Great Ormond Street Hospital for Children,
7th Floor, Nurses Home,
London WC1N 3JH, UK
e-mail: alessandro.giardini@gosh.nhs.uk

Manuscript received January 4, 2014; final manuscript received March 5, 2014; accepted manuscript posted March 24, 2014; published online June 5, 2014. Assoc. Editor: Tim David.

J Biomech Eng 136(8), 081007 (Jun 05, 2014) (13 pages) Paper No: BIO-14-1005; doi: 10.1115/1.4027271 History: Received January 04, 2014; Revised March 05, 2014; Accepted March 24, 2014

Background: Reduced exercise capacity is nearly universal among Fontan patients, though its etiology is not yet fully understood. While previous computational studies have attempted to model Fontan exercise, they did not fully account for global physiologic mechanisms nor directly compare results against clinical and physiologic data. Methods: In this study, we developed a protocol to simulate Fontan lower-body exercise using a closed-loop lumped-parameter model describing the entire circulation. We analyzed clinical exercise data from a cohort of Fontan patients, incorporated previous clinical findings from literature, quantified a comprehensive list of physiological changes during exercise, translated them into a computational model of the Fontan circulation, and designed a general protocol to model Fontan exercise behavior. Using inputs of patient weight, height, and if available, patient-specific reference heart rate (HR) and oxygen consumption, this protocol enables the derivation of a full set of parameters necessary to model a typical Fontan patient of a given body-size over a range of physiologic exercise levels. Results: In light of previous literature data and clinical knowledge, the model successfully produced realistic trends in physiological parameters with exercise level. Applying this method retrospectively to a set of clinical Fontan exercise data, direct comparison between simulation results and clinical data demonstrated that the model successfully reproduced the average exercise response of a cohort of typical Fontan patients. Conclusion: This work is intended to offer a foundation for future advances in modeling Fontan exercise, highlight the needs in clinical data collection, and provide clinicians with quantitative reference exercise physiologies for Fontan patients.

Copyright © 2014 by ASME
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Fig. 1

Closed-loop lumped-parameter network of the Fontan circulation. Rsubscript, Lsubscript, and Psubscript are labels for resistor components, inductor components, and nodal pressures, respectively.

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Fig. 2

Exercise clinical data from nine Fontan patients. Plots show correlations of (a) normalized HR, and (b) normalized TVR, to exercise level expressed in MET.

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Fig. 3

Flow diagram for computing resistance values in the LPN. Highlighted items represent lists of resistance values used to construct the final list of resistance values in the LPN for a simulation.

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Fig. 4

Simulation results of two example patients at various exercise levels

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Fig. 5

Model validation of (a) CO and (b) O2 extraction against clinical data. Points connected by lines are results of the same patient at different exercise levels.

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Fig. 6

(a) Atrial activation function and (b) intrathoracic pressure waveform. Note that values of APith and Pithoffset are typically negative during natural, nonmechanically ventilated breathing.

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Fig. 7

Comparison of (a) CO and (b) O2 extraction between simulation and Appendix B equation estimation for the two example patients at six MET levels



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