On the likelihood of decompression sickness during H(2) biochemical decompression in pigs.
A probabilistic model was used to predict decompression sickness (DCS) outcome in pigs during exposures to hyperbaric H(2) to quantify the effects of H(2) biochemical decompression, a process in which metabolism of H(2) by intestinal microbes facilitates decompression. The data set included 109 exposures to 22-26 atm, ca. 88% H(2), 9% He, 2% O(2), 1% N(2), for 0.5-24 h. Single exponential kinetics described the tissue partial pressures (Ptis) of H(2) and He at time t: Ptis = integral (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 = integral (Ptis(H(2)) + Ptis(He) - Thr - Pamb). Pamb(-1) dt, and Thr is a threshold parameter. Inclusion of a parameter (A) to estimate the effect of H(2) metabolism on P(DCS): Ptis(H(2)) = integral (Pamb - A - Ptis(H(2))). tau(-1) dt, significantly improved the prediction of P(DCS). Thus lower P(DCS) was predicted by microbial H(2) metabolism during H(2) biochemical decompression.
Fahlman
A
A
Environmental Physiology Department, Naval Medical Research Center, 503 Robert Grant Ave., Silver Spring, MD 20910-7500, USA.
Tikuisis
P
P
Himm
J F
JF
Weathersby
P K
PK
Kayar
S R
SR
D000818:Animals; D001274:Atmospheric Pressure; D003664:Decompression; D003665:Decompression Sickness / Q000453:epidemiology*; D005544:Forecasting; D006859:Hydrogen / Q000378:metabolism*; D015994:Incidence; D007422:Intestines / Q000382:microbiology*; D016013:Likelihood Functions; D017013:Methanobacteriaceae / Q000378:metabolism*; D008962:Models, Theoretical; D013552:Swine
D006859:Hydrogen