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 language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Workshop 8th International Conference on Intelligent Computing and Applications, ICICA 2019 |
| Publisher | Association for Computing Machinery |
| Pages | 66-69 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450366199 |
| DOIs | |
| State | Published - Jan 16 2019 |
| Event | 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 - Melbourne, Australia Duration: Jan 16 2019 → Jan 19 2019 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 11th International Conference on Computer Modeling and Simulation, ICCMS 2019 |
|---|---|
| Country | Australia |
| City | Melbourne |
| Period | 1/16/19 → 1/19/19 |
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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
A physiological model for burn injury and resuscitation. / Kramer, George C.; 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 proceeding › Conference contribution
}
TY - GEN
T1 - A physiological model for burn injury and resuscitation
AU - Kramer, George C.
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
AN - SCOPUS:85063569128
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 -