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Does the time course of bubble evolution explain decompression sickness risk?

R Ball1, J Himm, L D Homer

  • 1Naval Medical Research Institute, Bethesda, Maryland 20889-5607, USA.

Undersea & Hyperbaric Medicine : Journal of the Undersea and Hyperbaric Medical Society, Inc
|September 1, 1995
PubMed
Summary
This summary is machine-generated.

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A new model suggests that gas bubbles forming during decompression may not fully explain decompression sickness (DCS) risk. Persistent DCS risk might stem from factors beyond simple bubble dissolution in tissues.

Area of Science:

  • Physiology
  • Computational Biology
  • Diving Medicine

Background:

  • The linear-exponential (LE) kinetic model best fits human air and nitrox decompression sickness (DCS) data.
  • The LE model's success may be linked to gas phase formation during decompression.

Purpose of the Study:

  • To test the hypothesis that gas phase formation explains the LE model's efficacy in predicting DCS risk.
  • To develop and validate a physiologically based bubble evolution model.

Main Methods:

  • A physiologically based bubble evolution model was developed using numerical solutions of partial differential equations.
  • The complex model's solutions were compared to a computationally simpler approximation by Van Liew.
  • The simpler model was used to explore bubble dissolution dynamics under varying bubble densities.

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Main Results:

  • The computationally intensive and simpler models yielded comparable results.
  • A tissue time constant of at least 80 minutes was necessary for bubble dissolution to mimic the prolonged DCS risk predicted by the LE model.
  • Simulations indicated that persistent single bubbles in homogeneous tissue do not solely account for prolonged DCS risk.

Conclusions:

  • The persistence of single bubbles in uniformly perfused tissue is unlikely to be the sole explanation for persistent DCS risk.
  • Further research is needed to fully understand the mechanisms underlying prolonged DCS risk.
  • The study highlights the limitations of current models in fully explaining DCS phenomena.