A probabilistic model was used to predict decompression sickness (DCS) outc
ome 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 intes
tinal microbes facilitates decompression. The data set included 109 exposur
es to 22-26 atm, ca. 88% H-2, 9% He, 2% O-2, 1% N-2, for 0.5-24 h. Single e
xponential kinetics described the tissue partial pressures (Ptis) of H-2 an
d He at time t: Ptis = integral (Pamb - Ptis).tau (-1) dt, where Pamb is am
bient 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 = integra
l (Ptis(H2) + Ptis(He) - Thr - Pamb).Pamb(-1) dt, and Thr is a threshold pa
rameter. Inclusion of a parameter (A) to estimate the effect of H-2 metabol
ism on P(DCS): Ptis., = integral (Pamb - A - Ptis(H2)).tau (-1) dt, signifi
cantly improved the prediction of P(DCS). Thus lower P(DCS) was predicted b
y microbial H-2 metabolism during H-2 biochemical decompression.