# On the likelihood of decompression sickness during H(2) biochemical decompression in pigs.

Journal Article

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.

### Full Text

### Duke Authors

### Cited Authors

- Fahlman, A; Tikuisis, P; Himm, JF; Weathersby, PK; Kayar, SR

### Published Date

- December 2001

### Published In

### Volume / Issue

- 91 / 6

### Start / End Page

- 2720 - 2729

### PubMed ID

- 11717239

### Pubmed Central ID

- 11717239

### Electronic International Standard Serial Number (EISSN)

- 1522-1601

### International Standard Serial Number (ISSN)

- 8750-7587

### Digital Object Identifier (DOI)

- 10.1152/jappl.2001.91.6.2720

### Language

- eng