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Cardiovascular Simulation as a Decision Support Tool

Broomé, Michael ; Carlsson, Marcus LU ; Frieberg, Petter LU ; Hakacova, Nina LU ; Liuba, Petru LU and Donker, Dirk W. (2022) p.261-271
Abstract

The variable presentation of clinical disease in pediatric patients with congenital and acquired heart disease makes standardized care challenging. This is further enforced by the ongoing growth and remodeling of the heart and vasculature in the individual child and the multitude of available treatment options. The clinical challenge is rather to individualize treatment based on all available information. One option toward individualization of treatment is to use all available information as an input for clinical modeling. Simulation is not able to handle all the complexities in these clinical cases but may be useful in helping to handle the load of information and even look for missing information when analyzing the disease state and... (More)

The variable presentation of clinical disease in pediatric patients with congenital and acquired heart disease makes standardized care challenging. This is further enforced by the ongoing growth and remodeling of the heart and vasculature in the individual child and the multitude of available treatment options. The clinical challenge is rather to individualize treatment based on all available information. One option toward individualization of treatment is to use all available information as an input for clinical modeling. Simulation is not able to handle all the complexities in these clinical cases but may be useful in helping to handle the load of information and even look for missing information when analyzing the disease state and the effect of different treatment options in detail. We believe that a synthesis between clinical experience, available scientifical evidence from clinical studies, and predictions from simulations will improve decision making in future pediatric cardiology.

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Please use this url to cite or link to this publication:
author
; ; ; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Aplysia, Aplysia CardioVascular Lab, Cardiovascular simulation, Clinical decision support, Lumped parameter model, Pediatric cardiology, Personalized medicine, Simulation
host publication
Modelling Congenital Heart Disease : Engineering a Patient-specific Therapy - Engineering a Patient-specific Therapy
pages
261 - 271
publisher
Springer International Publishing
external identifiers
  • scopus:85153638539
ISBN
9783030888916
9783030888923
DOI
10.1007/978-3-030-88892-3_26
language
English
LU publication?
no
additional info
Publisher Copyright: © Springer Nature Switzerland AG 2022.
id
e20339d0-3626-4be5-8bd0-ca0bc981aadf
date added to LUP
2024-07-13 09:52:25
date last changed
2024-11-02 22:05:33
@inbook{e20339d0-3626-4be5-8bd0-ca0bc981aadf,
  abstract     = {{<p>The variable presentation of clinical disease in pediatric patients with congenital and acquired heart disease makes standardized care challenging. This is further enforced by the ongoing growth and remodeling of the heart and vasculature in the individual child and the multitude of available treatment options. The clinical challenge is rather to individualize treatment based on all available information. One option toward individualization of treatment is to use all available information as an input for clinical modeling. Simulation is not able to handle all the complexities in these clinical cases but may be useful in helping to handle the load of information and even look for missing information when analyzing the disease state and the effect of different treatment options in detail. We believe that a synthesis between clinical experience, available scientifical evidence from clinical studies, and predictions from simulations will improve decision making in future pediatric cardiology.</p>}},
  author       = {{Broomé, Michael and Carlsson, Marcus and Frieberg, Petter and Hakacova, Nina and Liuba, Petru and Donker, Dirk W.}},
  booktitle    = {{Modelling Congenital Heart Disease : Engineering a Patient-specific Therapy}},
  isbn         = {{9783030888916}},
  keywords     = {{Aplysia; Aplysia CardioVascular Lab; Cardiovascular simulation; Clinical decision support; Lumped parameter model; Pediatric cardiology; Personalized medicine; Simulation}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{261--271}},
  publisher    = {{Springer International Publishing}},
  title        = {{Cardiovascular Simulation as a Decision Support Tool}},
  url          = {{http://dx.doi.org/10.1007/978-3-030-88892-3_26}},
  doi          = {{10.1007/978-3-030-88892-3_26}},
  year         = {{2022}},
}