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Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis
Authors
A Pironet
BW Smith
+86 more
BW Smith
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Lazzari De
C Luo
C Luo
Claudio De Lazzari
D Burkhoff
D Doshi
D Nordsletten
D Wang
DC Chung
Domenico M. Pisanelli
F Antonini-Canterin
F Shu
FP Baaijens
G Ferrari
G Ferrari
G Mariscalco
H Huang
H Suga
H Suga
H Suga
I Larrabide
J Bassingthwaighte
J Li
J Lumens
J Lumens
J Lumens
J Lumens
J Lumens
J Lumens
J Peiró
JA Negroni
JB Olansen
JR Gohean
JW Lankhaar
KK Wong
KKL Wong
KKL Wong
L Fresiello
L Truby
M Capoccia
M Darowski
M Kozarski
M McCormick
M McCormick
M Rahimi-Gorji
M Ursino
M Yousefi
Massimo Capoccia
N Stergiopulos
O Pourmehran
O Pourmehran
O Pourmehran
P Segers
P Segers
PJ Blanco
Q Yang
R Loon van
R Tabassum
RP Kelly
S Vandenberghe
Sanjeet Avtaar Singh
Silvia Marconi
T Arts
T Arts
T Arts
T Korakianitis
T Korakianitis
TE Claessens
WL Maughan
WP Santamore
Y Bazilevs
Y Shi
Y Shi
Y Shi
Y Shi
Y Wang
Publication date
1 May 2018
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
Abstract Background Modelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure–volume relationship and zero-dimensional representation of the cardiovascular system may be a suitable choice given their simplicity and versatility. This approach has great potential for application in heart failure where the impact of left ventricular assist devices has played a significant role as a bridge to transplant and more recently as a long-term solution for non eligible candidates. Results We sought to investigate the value of simulation in the context of three heart failure patients with a view to predict or guide further management. CARDIOSIM© was the software used for this purpose. The study was based on retrospective analysis of haemodynamic data previously discussed at a multidisciplinary meeting. The outcome of the simulations addressed the value of a more quantitative approach in the clinical decision process. Conclusions Although previous experience, co-morbidities and the risk of potentially fatal complications play a role in clinical decision-making, patient-specific modelling may become a daily approach for selection and optimisation of device-based treatment for heart failure patients. Willingness to adopt this integrated approach may be the key to further progress
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