Abstract
The optimal fluid administration protocol for critically ill perioperative patients is hard to estimate due to the lack of tools to directly measure the patient fluid status. This results in the suboptimal clinical outcome of interventions. Previously developed predictive mathematical models focus on describing the fluid exchange over time but they lack clinical applicability, since they do not allow prediction of clinically measurable indices. The aim of this study is to make a first step towards a model predictive clinical decision support system for fluid administration, by extending the current fluid exchange models with a regulated cardiovascular circulation, to allow prediction of these indices. The parameters of the model were tuned to correctly reproduce experimentally measured changes in arterial pressure and heart rate, observed during infusion of normal saline in healthy volunteers. With the resulting tuned model, a different experiment including blood loss and infusion could be reproduced as well. These results show the potential of using this model as a basis for a decision support tool in a clinical setting.
| Language | English |
|---|---|
| Pages | 4-11 |
| Number of pages | 8 |
| Journal | Journal of Biomechanics |
| Volume | 88 |
| DOIs | |
| State | Published - May 2019 |
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Keywords
- Fluid administration
- Mathematical models
- Model assisted decision support
- Transcapillary fluid exchange
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A mathematical model to investigate the effects of intravenous fluid administration and fluid loss. / Rosalina, Tilaï T. (Corresponding author); Bouwman, R. Arthur; van Sambeek, Marc R.H.M.; van de Vosse, Frans N.; Bovendeerd, Peter H.M.
In: Journal of Biomechanics, Vol. 88, 05.2019, p. 4-11.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - A mathematical model to investigate the effects of intravenous fluid administration and fluid loss
AU - Rosalina,Tilaï T.
AU - Bouwman,R. Arthur
AU - van Sambeek,Marc R.H.M.
AU - van de Vosse,Frans N.
AU - Bovendeerd,Peter H.M.
PY - 2019/5
Y1 - 2019/5
N2 - The optimal fluid administration protocol for critically ill perioperative patients is hard to estimate due to the lack of tools to directly measure the patient fluid status. This results in the suboptimal clinical outcome of interventions. Previously developed predictive mathematical models focus on describing the fluid exchange over time but they lack clinical applicability, since they do not allow prediction of clinically measurable indices. The aim of this study is to make a first step towards a model predictive clinical decision support system for fluid administration, by extending the current fluid exchange models with a regulated cardiovascular circulation, to allow prediction of these indices. The parameters of the model were tuned to correctly reproduce experimentally measured changes in arterial pressure and heart rate, observed during infusion of normal saline in healthy volunteers. With the resulting tuned model, a different experiment including blood loss and infusion could be reproduced as well. These results show the potential of using this model as a basis for a decision support tool in a clinical setting.
AB - The optimal fluid administration protocol for critically ill perioperative patients is hard to estimate due to the lack of tools to directly measure the patient fluid status. This results in the suboptimal clinical outcome of interventions. Previously developed predictive mathematical models focus on describing the fluid exchange over time but they lack clinical applicability, since they do not allow prediction of clinically measurable indices. The aim of this study is to make a first step towards a model predictive clinical decision support system for fluid administration, by extending the current fluid exchange models with a regulated cardiovascular circulation, to allow prediction of these indices. The parameters of the model were tuned to correctly reproduce experimentally measured changes in arterial pressure and heart rate, observed during infusion of normal saline in healthy volunteers. With the resulting tuned model, a different experiment including blood loss and infusion could be reproduced as well. These results show the potential of using this model as a basis for a decision support tool in a clinical setting.
KW - Fluid administration
KW - Mathematical models
KW - Model assisted decision support
KW - Transcapillary fluid exchange
UR - http://www.scopus.com/inward/record.url?scp=85063132270&partnerID=8YFLogxK
U2 - 10.1016/j.jbiomech.2019.03.002
DO - 10.1016/j.jbiomech.2019.03.002
M3 - Article
VL - 88
SP - 4
EP - 11
JO - Journal of Biomechanics
T2 - Journal of Biomechanics
JF - Journal of Biomechanics
SN - 0021-9290
ER -