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A Lumped-Parameter Subject-Specific Model of Blood Volume Response to Fluid Infusion

Overview of attention for article published in Frontiers in Physiology, August 2016
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Title
A Lumped-Parameter Subject-Specific Model of Blood Volume Response to Fluid Infusion
Published in
Frontiers in Physiology, August 2016
DOI 10.3389/fphys.2016.00390
Pubmed ID
Authors

Ramin Bighamian, Andrew T. Reisner, Jin-Oh Hahn

Abstract

This paper presents a lumped-parameter model that can reproduce blood volume response to fluid infusion. The model represents the fluid shift between the intravascular and interstitial compartments as the output of a hypothetical feedback controller that regulates the ratio between the volume changes in the intravascular and interstitial fluid at a target value (called "target volume ratio"). The model is characterized by only three parameters: the target volume ratio, feedback gain (specifying the speed of fluid shift), and initial blood volume. This model can obviate the need to incorporate complex mechanisms involved in the fluid shift in reproducing blood volume response to fluid infusion. The ability of the model to reproduce real-world blood volume response to fluid infusion was evaluated by fitting it to a series of data reported in the literature. The model reproduced the data accurately with average error and root-mean-squared error (RMSE) of 0.6 and 9.5% across crystalloid and colloid fluids when normalized by the underlying responses. Further, the parameters derived for the model showed physiologically plausible behaviors. It was concluded that this simple model may accurately reproduce a variety of blood volume responses to fluid infusion throughout different physiological states by fitting three parameters to a given dataset. This offers a tool that can quantify the fluid shift in a dataset given the measured fractional blood volumes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Researcher 5 21%
Student > Doctoral Student 2 8%
Professor 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 7 29%
Readers by discipline Count As %
Engineering 8 33%
Agricultural and Biological Sciences 3 13%
Medicine and Dentistry 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2016.
All research outputs
#20,338,537
of 22,884,315 outputs
Outputs from Frontiers in Physiology
#9,418
of 13,678 outputs
Outputs of similar age
#294,482
of 337,459 outputs
Outputs of similar age from Frontiers in Physiology
#104
of 161 outputs
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