In-human subject-specific evaluation of a control-theoretic plasma volume regulation model

Ramin Bighamian, Michael Kinsky, George Kramer, Jin Oh Hahn

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The goal of this study was to conduct a subject-specific evaluation of a control-theoretic plasma volume regulation model in humans. We employed a set of clinical data collected from nine human subjects receiving fluid bolus with and without co-administration of an inotrope agent, including fluid infusion rate, plasma volume, and urine output. Once fitted to the data associated with each subject, the model accurately reproduced the fractional plasma volume change responses in all subjects: the error between actual versus model-reproduced fractional plasma volume change responses was only 1.4 ± 1.6% and 1.2 ± 0.3% of the average fractional plasma volume change responses in the absence and presence of inotrope co-administration. In addition, the model parameters determined by the subject-specific fitting assumed physiologically plausible values: (i) initial plasma volume was estimated to be 36 ± 11 mL/kg and 37 ± 10 mL/kg in the absence and presence of inotrope infusion, respectively, which was comparable to its actual counterpart of 37 ± 4 mL/kg and 43 ± 6 mL/kg; (ii) volume distribution ratio, specifying the ratio with which the inputted fluid is distributed in the intra- and extra-vascular spaces, was estimated to be 3.5 ± 2.4 and 1.9 ± 0.5 in the absence and presence of inotrope infusion, respectively, which accorded with the experimental observation that inotrope could enhance plasma volume expansion in response to fluid infusion. We concluded that the model was equipped with the ability to reproduce plasma volume response to fluid infusion in humans with physiologically plausible model parameters, and its validity may persist even under co-administration of inotropic agents.

Original languageEnglish (US)
Pages (from-to)96-102
Number of pages7
JournalComputers in Biology and Medicine
Volume91
DOIs
StatePublished - Dec 1 2017

Keywords

  • Blood volume
  • Circulatory resuscitation
  • Control-theoretic model
  • In-silico evaluation
  • Mathematical model
  • Physiological closed-loop control
  • Physiological model
  • Plasma volume
  • Pre-clinical evaluation

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications

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