A physiological model for burn injury and resuscitation

George Kramer, Ghazal Arabi Darreh Dor, Chris Meador, Ali Tivay, Jin Oh Hahn, Jose Salinas, Ramin Bighamian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A 1st-principles-inspired physiological model was developed that can predict the redistribution of fluid and albumin in the patient after thermal injury. The key components of the model include volume kinetics, renal function, and burn-induced perturbations in circulatory physiology. The model was developed in such a way that it can be fully characterized by the patient weight, height, and total burn surface area (TBSA) as well as a small set of model parameters to be individualized to predict the patient's response to thermal injury and resuscitation. Based on the underlying physics and constraints of organs, new mathematical functions were developed to describe the renal function and lymph return. A novel approach was employed to implement the effect of burn on the pertinent physiology of patients' body. The model was identified and tested using two groups of sheep undergoing burn injury and resuscitation. The results suggested that the model can boast acceptable accuracy in reproducing experimentally observed plasma volume and urinary output despite its simplicity. Such a model, after meeting the requirements on accuracy and physiological credibility, may facilitate the validation and testing of burn resuscitation protocols and closed-loop decision support systems.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019
PublisherAssociation for Computing Machinery
Pages66-69
Number of pages4
ISBN (Electronic)9781450366199
DOIs
StatePublished - Jan 16 2019
Externally publishedYes
Event11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Melbourne, Australia
Duration: Jan 16 2019Jan 19 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference11th International Conference on Computer Modeling and Simulation, ICCMS 2019
CountryAustralia
CityMelbourne
Period1/16/191/19/19

Fingerprint

Physiological models
Resuscitation
Physiology
Decision support systems
Physics
Plasmas
Kinetics
Fluids
Testing

Keywords

  • Burn injury
  • Fluid therapy
  • Mathematical modeling
  • Simulation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Kramer, G., Dor, G. A. D., Meador, C., Tivay, A., Hahn, J. O., Salinas, J., & Bighamian, R. (2019). A physiological model for burn injury and resuscitation. In Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019 (pp. 66-69). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3307363.3307386

A physiological model for burn injury and resuscitation. / Kramer, George; Dor, Ghazal Arabi Darreh; Meador, Chris; Tivay, Ali; Hahn, Jin Oh; Salinas, Jose; Bighamian, Ramin.

Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019. Association for Computing Machinery, 2019. p. 66-69 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kramer, G, Dor, GAD, Meador, C, Tivay, A, Hahn, JO, Salinas, J & Bighamian, R 2019, A physiological model for burn injury and resuscitation. in Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 66-69, 11th International Conference on Computer Modeling and Simulation, ICCMS 2019, Melbourne, Australia, 1/16/19. https://doi.org/10.1145/3307363.3307386
Kramer G, Dor GAD, Meador C, Tivay A, Hahn JO, Salinas J et al. A physiological model for burn injury and resuscitation. In Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019. Association for Computing Machinery. 2019. p. 66-69. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3307363.3307386
Kramer, George ; Dor, Ghazal Arabi Darreh ; Meador, Chris ; Tivay, Ali ; Hahn, Jin Oh ; Salinas, Jose ; Bighamian, Ramin. / A physiological model for burn injury and resuscitation. Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019. Association for Computing Machinery, 2019. pp. 66-69 (ACM International Conference Proceeding Series).
@inproceedings{24fbe65ff32043aaa3fc4abc2784726b,
title = "A physiological model for burn injury and resuscitation",
abstract = "A 1st-principles-inspired physiological model was developed that can predict the redistribution of fluid and albumin in the patient after thermal injury. The key components of the model include volume kinetics, renal function, and burn-induced perturbations in circulatory physiology. The model was developed in such a way that it can be fully characterized by the patient weight, height, and total burn surface area (TBSA) as well as a small set of model parameters to be individualized to predict the patient's response to thermal injury and resuscitation. Based on the underlying physics and constraints of organs, new mathematical functions were developed to describe the renal function and lymph return. A novel approach was employed to implement the effect of burn on the pertinent physiology of patients' body. The model was identified and tested using two groups of sheep undergoing burn injury and resuscitation. The results suggested that the model can boast acceptable accuracy in reproducing experimentally observed plasma volume and urinary output despite its simplicity. Such a model, after meeting the requirements on accuracy and physiological credibility, may facilitate the validation and testing of burn resuscitation protocols and closed-loop decision support systems.",
keywords = "Burn injury, Fluid therapy, Mathematical modeling, Simulation",
author = "George Kramer and Dor, {Ghazal Arabi Darreh} and Chris Meador and Ali Tivay and Hahn, {Jin Oh} and Jose Salinas and Ramin Bighamian",
year = "2019",
month = "1",
day = "16",
doi = "10.1145/3307363.3307386",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "66--69",
booktitle = "Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019",

}

TY - GEN

T1 - A physiological model for burn injury and resuscitation

AU - Kramer, George

AU - Dor, Ghazal Arabi Darreh

AU - Meador, Chris

AU - Tivay, Ali

AU - Hahn, Jin Oh

AU - Salinas, Jose

AU - Bighamian, Ramin

PY - 2019/1/16

Y1 - 2019/1/16

N2 - A 1st-principles-inspired physiological model was developed that can predict the redistribution of fluid and albumin in the patient after thermal injury. The key components of the model include volume kinetics, renal function, and burn-induced perturbations in circulatory physiology. The model was developed in such a way that it can be fully characterized by the patient weight, height, and total burn surface area (TBSA) as well as a small set of model parameters to be individualized to predict the patient's response to thermal injury and resuscitation. Based on the underlying physics and constraints of organs, new mathematical functions were developed to describe the renal function and lymph return. A novel approach was employed to implement the effect of burn on the pertinent physiology of patients' body. The model was identified and tested using two groups of sheep undergoing burn injury and resuscitation. The results suggested that the model can boast acceptable accuracy in reproducing experimentally observed plasma volume and urinary output despite its simplicity. Such a model, after meeting the requirements on accuracy and physiological credibility, may facilitate the validation and testing of burn resuscitation protocols and closed-loop decision support systems.

AB - A 1st-principles-inspired physiological model was developed that can predict the redistribution of fluid and albumin in the patient after thermal injury. The key components of the model include volume kinetics, renal function, and burn-induced perturbations in circulatory physiology. The model was developed in such a way that it can be fully characterized by the patient weight, height, and total burn surface area (TBSA) as well as a small set of model parameters to be individualized to predict the patient's response to thermal injury and resuscitation. Based on the underlying physics and constraints of organs, new mathematical functions were developed to describe the renal function and lymph return. A novel approach was employed to implement the effect of burn on the pertinent physiology of patients' body. The model was identified and tested using two groups of sheep undergoing burn injury and resuscitation. The results suggested that the model can boast acceptable accuracy in reproducing experimentally observed plasma volume and urinary output despite its simplicity. Such a model, after meeting the requirements on accuracy and physiological credibility, may facilitate the validation and testing of burn resuscitation protocols and closed-loop decision support systems.

KW - Burn injury

KW - Fluid therapy

KW - Mathematical modeling

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85063569128&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063569128&partnerID=8YFLogxK

U2 - 10.1145/3307363.3307386

DO - 10.1145/3307363.3307386

M3 - Conference contribution

T3 - ACM International Conference Proceeding Series

SP - 66

EP - 69

BT - Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019

PB - Association for Computing Machinery

ER -