Tikuisis P, Weathersby P K, Nishi R Y
Defence and Civil Institute of Environmental Medicine, North York, Ont., Canada.
Aviat Space Environ Med. 1991 May;62(5):425-31.
The method of maximum likelihood analysis was applied to data consisting of 1,949 man-dives, of which 1,041 were on air and 908 were on HeO2 mixtures. These dives represented a wide range of bottom time and depth combinations, and had an overall incidence of decompression sickness (DCS) of 4.64%. Several models, based on single exponential gas uptake in either one or two compartments, were tested for predicting the incidence of DCS. The criterion for defining the risk of DCS was based on the concept of potential gas volume (i.e., the volume of a bubble that could form and be in equilibrium with the remaining gas dissolved in solution). This criterion takes into account the solubilities of the gases in solution, but can be adjusted to account only for the partial pressures of the gases. The best model for the prediction of DCS was found for two compartments where the kinetics (time constants) and not the gas solubilities of nitrogen and helium were distinguished from each other. Results using the best prediction model with the present data suggests the following: 1) most of the risk of DCS occurs after surfacing; 2) most of the risk occurs in the "slow" compartment (approximately 420 min time constant); and 3) nitrogen contributes about twice as much as helium to the risk of DCS for HeO2 dives.
最大似然分析方法应用于由1949次潜水数据组成的数据组,其中1041次为空气潜水,908次为氦氧混合气潜水。这些潜水代表了广泛的水底停留时间和深度组合,减压病(DCS)的总体发生率为4.64%。基于单指数气体在一个或两个隔室中的摄取情况,测试了几种模型以预测DCS的发生率。定义DCS风险的标准基于潜在气体体积的概念(即可能形成并与溶液中剩余溶解气体达到平衡的气泡体积)。该标准考虑了气体在溶液中的溶解度,但也可调整为仅考虑气体的分压。在区分氮气和氦气的动力学(时间常数)而非气体溶解度的两个隔室中,找到了预测DCS的最佳模型。使用最佳预测模型对当前数据进行分析的结果表明:1)大多数DCS风险发生在浮出水面后;2)大多数风险发生在“慢”隔室(时间常数约为420分钟);3)对于氦氧混合气潜水,氮气对DCS风险的贡献约为氦气的两倍。