A mathematical model to investigate the effects of intravenous fluid administration and fluid loss

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Uittreksel

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.

TaalEngels
Pagina's4-11
Aantal pagina's8
TijdschriftJournal of Biomechanics
Volume88
DOI's
StatusGepubliceerd - mei 2019

Vingerafdruk

Intravenous Administration
Theoretical Models
Clinical Decision Support Systems
Mathematical models
Fluids
Critical Illness
Healthy Volunteers
Arterial Pressure
Heart Rate
Decision support systems
Blood
Experiments

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    title = "A mathematical model to investigate the effects of intravenous fluid administration and fluid loss",
    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.",
    keywords = "Fluid administration, Mathematical models, Model assisted decision support, Transcapillary fluid exchange",
    author = "Rosalina, {Tila{\"i} T.} and Bouwman, {R. Arthur} and {van Sambeek}, {Marc R.H.M.} and {van de Vosse}, {Frans N.} and Bovendeerd, {Peter H.M.}",
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    issn = "0021-9290",
    publisher = "Elsevier",

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    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.

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    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

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    EP - 11

    JO - Journal of Biomechanics

    T2 - Journal of Biomechanics

    JF - Journal of Biomechanics

    SN - 0021-9290

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