title: Predicting risk of decompression sickness in humans from outcomes in sheep.
abstract: In animals, the response to decompression scales as a power of species body mass. Consequently, decompression sickness (DCS) risk in humans should be well predicted from an animal model with a body mass comparable to humans. No-stop decompression outcomes in compressed air and nitrogen-oxygen dives with sheep (n = 394 dives, 14.5% DCS) and humans (n = 463 dives, 4.5% DCS) were used with linear-exponential, probabilistic modeling to test this hypothesis. Scaling the response parameters of this model between species (without accounting for body mass), while estimating tissue-compartment kinetic parameters from combined human and sheep data, predicts combined risk better, based on log likelihood, than do separate sheep and human models, a combined model without scaling, and a kinetic-scaled model. These findings provide a practical tool for estimating DCS risk in humans from outcomes in sheep, especially in decompression profiles too risky to test with humans. This model supports the hypothesis that species of similar body mass have similar DCS risk.
authors.affiliation: Naval Medical Research Institute, Bethesda, Maryland 20889-5607, USA. BallR@cber.fda.gov
authors.forename: R
authors.initials: R
authors.lastname: Ball
authors.forename: C E
authors.initials: CE
authors.lastname: Lehner
authors.forename: E C
authors.initials: EC
authors.lastname: Parker
mesh_terms: D000465:Algorithms; D000818:Animals; D001784:Blood Gas Analysis; D003665:Decompression Sickness / Q000503:physiopathology*; D006801:Humans; D008954:Models, Biological; D018570:Risk Assessment; D012756:Sheep; D013045:Species Specificity; D013997:Time Factors