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J Appl Physiol 91: 2720-2729, 2001;
8750-7587/01 $5.00
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Vol. 91, Issue 6, 2720-2729, December 2001

On the likelihood of decompression sickness during H2 biochemical decompression in pigs

Andreas Fahlman1, Peter Tikuisis2, Jeffrey F. Himm1, Paul K. Weathersby1, and Susan R. Kayar1

1 Environmental Physiology Department, Naval Medical Research Center, Silver Spring, Maryland 20910-7500; and 2 Defence and Civil Institute of Environmental Medicine, Toronto, Ontario, Canada M3M 3B9

A probabilistic model was used to predict decompression sickness (DCS) outcome in pigs during exposures to hyperbaric H2 to quantify the effects of H2 biochemical decompression, a process in which metabolism of H2 by intestinal microbes facilitates decompression. The data set included 109 exposures to 22-26 atm, ca. 88% H2, 9% He, 2% O2, 1% N2, for 0.5-24 h. Single exponential kinetics described the tissue partial pressures (Ptis) of H2 and He at time t: Ptis = int  (Pamb - Ptis) · tau -1 dt, where Pamb is ambient pressure and tau  is a time constant. The probability of DCS [P(DCS)] was predicted from the risk function: P(DCS) = 1 - e-r, where r = int  (PtisH2 + PtisHe - Thr - Pamb) · Pamb-1 dt, and Thr is a threshold parameter. Inclusion of a parameter (A) to estimate the effect of H2 metabolism on P(DCS): PtisH2 = int  (Pamb - A - PtisH2) · tau -1 dt, significantly improved the prediction of P(DCS). Thus lower P(DCS) was predicted by microbial H2 metabolism during H2 biochemical decompression.

probabilistic modeling; Sus scrofa; hydrogen diving; H2 metabolism; Methanobrevibacter smithii


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