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Probabilistic pharmacokinetic models of decompression sickness in humans: Part 2, coupled perfusion-diffusion models.

Publication ,  Journal Article
Murphy, FG; Hada, EA; Doolette, DJ; Howle, LE
Published in: Computers in biology and medicine
January 2018

Decompression sickness (DCS) can be experienced following a reduction in ambient pressure; such as that associated with diving or ascent to high altitudes. DCS is believed to result when supersaturated inert gas dissolved in biological tissues exits solution and forms bubbles. Models to predict the probability of DCS are typically based on nitrogen and/or helium gas uptake and washout in several theoretical tissues, each represented by a single perfusion-limited compartment. It has been previously shown that coupled perfusion-diffusion compartments are better descriptors than solely perfusion-based models of nitrogen and helium uptake and elimination kinetics observed in the brain and skeletal muscle of sheep. In this work, we examine the application of these coupled pharmacokinetic structures with at least one diffusion compartment to the prediction of the incidence of decompression sickness in humans. We compare these models to LEM-NMRI98, a well-described U.S. Navy gas content model, consisting of three uncoupled perfusion-limited compartments incorporating oxygen and linear-exponential kinetics. Pharmacokinetic gas content models with a diffusion component describe the probability of DCS in human bounce dives made with air, single non-air bounce dives, and oxygen decompression dives better than LEM-NMRI98. However, for the full data set, LEM-NMRI98 remains the best descriptor of the data.

Duke Scholars

Published In

Computers in biology and medicine

DOI

EISSN

1879-0534

ISSN

0010-4825

Publication Date

January 2018

Volume

92

Start / End Page

90 / 97

Related Subject Headings

  • Pulmonary Gas Exchange
  • Pharmacokinetics
  • Perfusion
  • Models, Biological
  • Humans
  • Diving
  • Diffusion
  • Decompression Sickness
  • Computational Biology
  • Biomedical Engineering
 

Citation

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Murphy, F. G., Hada, E. A., Doolette, D. J., & Howle, L. E. (2018). Probabilistic pharmacokinetic models of decompression sickness in humans: Part 2, coupled perfusion-diffusion models. Computers in Biology and Medicine, 92, 90–97. https://doi.org/10.1016/j.compbiomed.2017.11.011
Murphy, F Gregory, Ethan A. Hada, David J. Doolette, and Laurens E. Howle. “Probabilistic pharmacokinetic models of decompression sickness in humans: Part 2, coupled perfusion-diffusion models.Computers in Biology and Medicine 92 (January 2018): 90–97. https://doi.org/10.1016/j.compbiomed.2017.11.011.
Murphy FG, Hada EA, Doolette DJ, Howle LE. Probabilistic pharmacokinetic models of decompression sickness in humans: Part 2, coupled perfusion-diffusion models. Computers in biology and medicine. 2018 Jan;92:90–7.
Murphy, F. Gregory, et al. “Probabilistic pharmacokinetic models of decompression sickness in humans: Part 2, coupled perfusion-diffusion models.Computers in Biology and Medicine, vol. 92, Jan. 2018, pp. 90–97. Epmc, doi:10.1016/j.compbiomed.2017.11.011.
Murphy FG, Hada EA, Doolette DJ, Howle LE. Probabilistic pharmacokinetic models of decompression sickness in humans: Part 2, coupled perfusion-diffusion models. Computers in biology and medicine. 2018 Jan;92:90–97.
Journal cover image

Published In

Computers in biology and medicine

DOI

EISSN

1879-0534

ISSN

0010-4825

Publication Date

January 2018

Volume

92

Start / End Page

90 / 97

Related Subject Headings

  • Pulmonary Gas Exchange
  • Pharmacokinetics
  • Perfusion
  • Models, Biological
  • Humans
  • Diving
  • Diffusion
  • Decompression Sickness
  • Computational Biology
  • Biomedical Engineering