Probabilistic Assessment of Hypobaric Decompression Sickness Treatment Success

摘要: The Hypobaric Decompression Sickness (DCS) Treatment Model links a decrease in computed bubble volume from increased pressure (DeltaP), oxygen (O2) partial pressure, and passage of time during treatment to the probability symptom resolution [P(symptom resolution)]. offending is realized 2 stages: a) compression via Boyle's Law b) subsequent dissolution gas phase O2 window. We established an empirical model for P(symptom resolution) while accounting multiple symptoms within subjects. data consisted 154 cases hypobaric DCS along with ancillary information tests on 56 men 18 women. Our best estimated = 1 / (1+exp(-(ln(Delta P) - 1.510 + 0.795AMB 0.00308Ts) 0.478)), where (DeltaP) difference (psid), AMB if ambulation took place part altitude exposure, otherwise 0; Ts elapsed mins start exposure recognition symptom. To apply this future scenarios, values DeltaP as inputs would be calculated Tissue Bubble Dynamics based effective pressure: P2 P1 | P1V1/V2 P1, V1 spherical unit tissue at low V2 after change higher P2. If 100% ground level (GLO) was breathed air, then continues through faster rate. This value (DeltaP represents any point time. Simulation "pain-only" 203 min into ambulatory extravehicular activity (EVA) 4.3 psia Mars resulted 0.49 (0.36 0.62 95% confidence intervals) immediate return 8.2 Multi-Mission Space Exploration Vehicle. near certainty (0.99) hrs GLO or less pressurization 14.7 [0.90 (0.83 0.95)]. Given EVA prompt guidance model, it likely that will resolve minimum resources minimal impact astronaut health, safety, productivity.