2003
DOI: 10.1016/s0092-8240(03)00038-7
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Probabilistic Modelling for Estimating Gas Kinetics and Decompression Sickness Risk in Pigs During H2 Biochemical Decompression

Abstract: We modelled the kinetics of H 2 flux during gas uptake and elimination in conscious pigs exposed to hyperbaric H 2 . The model used a physiological description of gas flux fitted to the observed decompression sickness (DCS) incidence in two groups of pigs: untreated controls, and animals that had received intestinal injections of H 2 -metabolizing microbes that biochemically eliminated some of the H 2 stored in the pigs' tissues. To analyse H 2 flux during gas uptake, animals were compressed in a dry chamber t… Show more

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Cited by 6 publications
(5 citation statements)
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“…3C) resulting in an end-dive P N 2 of 1.96 ATA. This is still a high saturation partial pressure, but because of the sigmoidal shape of the DCS risk curve against saturation pressure (Dromsky et al, 2000), small changes in inert gas load (5%) result in large changes in DCS risk (50%, Fahlman et al, 2001;Fahlman and Kayar, 2003).…”
Section: Calculating Dcs Riskmentioning
confidence: 99%
See 1 more Smart Citation
“…3C) resulting in an end-dive P N 2 of 1.96 ATA. This is still a high saturation partial pressure, but because of the sigmoidal shape of the DCS risk curve against saturation pressure (Dromsky et al, 2000), small changes in inert gas load (5%) result in large changes in DCS risk (50%, Fahlman et al, 2001;Fahlman and Kayar, 2003).…”
Section: Calculating Dcs Riskmentioning
confidence: 99%
“…Decompression sickness research on terrestrial mammals shows a distinct relationship between ascent rate and DCS risk (Flynn and Lambertsen, 1971;Fahlman and Kayar, 2003). In the mouse, the decompression rate from 13.8 ATA to 1 ATA resulting in a 50% DCS was ~ 0.58…”
Section: Ascent Ratementioning
confidence: 99%
“…The tissue time constant provides information about the removal rate of inert gas. While this parameter is a theoretical construct 6 31 , it offers information about the physiological basis of DCS, and allows general predictions how risk may scale between species. First, due to the low solubility of N 2 in tissues and blood, it is generally assumed that N 2 removal is perfusion-limited 9 .…”
Section: Discussionmentioning
confidence: 99%
“…As metabolic rate and blood flow, and thereby gas uptake or removal, correlate with body mass, it has been suggested that this variation in risk among species is mainly due to variation in cardiac output (Fahlman, 2017). The importance of blood flow to alter risk may also explain other proposed risk factors such as exercise, adiposity, age, and sex (Robertson, 1992;Broome et al, 1994Broome et al, , 1995Vann et al, 2011), but among these, body mass is the only risk factor without conflicting results (Berghage et al, 1979;Fahlman et al, 2001;Lillo et al, 2002;Fahlman and Kayar, 2003;Fahlman, 2017).…”
Section: Symptoms and Susceptibilitymentioning
confidence: 99%