Journal of Applied Physiology
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J Appl Physiol (March 8, 2002). doi:10.1152/japplphysiol.00670.2001
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Articles in PresS, published online ahead of print March 8, 2002
J Appl Physiol, 10.1152/jap.00670.2001
Submitted on June 29, 2001
Accepted on March 5, 2002

USING ANIMAL DATA TO IMPROVE PREDICTION OF HUMAN DECOMPRESSION RISK FOLLOWING AIR-SATURATION DIVES

R. S. Lillo1*, J. F. Himm2, P. K. Weathersby1, D. J. Temple2, K. A. Gault1, and D. M. Dromsky2

1 Biomedical Research Department, Navy Experimental Diving Unit, Panama City, FL, USA
2 Environmental Physiology Department, Naval Medical Research Center, Silver Spring, MD, USA

* To whom correspondence should be addressed. E-mail: lillors{at}nedu.navsea.navy.mil.

To plan for any future rescue of personnel in a disabled and pressurized submarine, the U.S. Navy needs a method for predicting risk of decompression sickness (DCS) under possible scenarios for crew recovery. Such scenarios include direct ascent from compressed air exposures with risks too high for ethical human experiments. Animal data, however, with their extensive range of exposure pressures and incidence of DCS, could improve prediction of high-risk human exposures. Hill-equation dose-response models were fit, using maximum likelihood, to 898 air-saturation, direct-ascent, dives from humans, pigs, and rats, both individually and combined. Combining the species allowed estimation of one, more precise, Hill-equation exponent (steepness parameter), increasing precision associated with human risk predictions. These predictions agreed more closely with the observed data at 2 ATA, compared to a current, more general, U.S. Navy model, although the confidence limits of both models overlapped those of the data. However, the greatest benefit of adding animal data was observed after removal of the highest risk human exposures, requiring the models to extrapolate.




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