Testing of hypotheses about altitude decompression sickness by statistical analyses

Van Liew, H. D.; Burkard, M. E.; Conkin, J.; Powell, M. R.

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NASA NTRS · 20040173090

Testing of hypotheses about altitude decompression sickness by statistical analyses

Van Liew, H. D.·Burkard, M. E.·Conkin, J.·Powell, M. R.

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Abstract

This communication extends a statistical analysis of forced-descent decompression sickness at altitude in exercising subjects (J Appl Physiol 1994; 76:2726-2734) with a data subset having an additional explanatory variable, rate of ascent. The original explanatory variables for risk-function analysis were environmental pressure of the altitude, duration of exposure, and duration of pure-O2 breathing before exposure; the best fit was consistent with the idea that instantaneous risk increases linearly as altitude exposure continues. Use of the new explanatory variable improved the fit of the smaller data subset, as indicated by log likelihood. Also, with ascent rate accounted for, replacement of the term for linear accrual of instantaneous risk by a term for rise and then decay made a highly significant improvement upon the original model (log likelihood increased by 37 log units). The authors conclude that a more representative data set and removal of the variability attributable to ascent rate allowed the rise-and-decay mechanism, which is expected from theory and observations, to become manifest.

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NASA Center JSC NASA Discipline Environmental Health Decompression Sickness/etiology/physiopathology Altitude Models, Statistical Models, Biological Likelihood Functions Data Interpretation, Statistical Human

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Van Liew, H. D., Burkard, M. E., Conkin, J., Powell, M. R.. 1996-12-01. Testing of hypotheses about altitude decompression sickness by statistical analyses. https://ntrs.nasa.gov/citations/20040173090

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