Foster P P, Feiveson A H, Boriek A M
Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.
Am J Physiol Regul Integr Comp Physiol. 2000 Dec;279(6):R2317-28. doi: 10.1152/ajpregu.2000.279.6.R2317.
For altitude decompressions, we hypothesized that reported onset times of limb decompression illness (DCI) pain symptoms follow a probability distribution related to total bubble volume [V(b.)(t)] as a function of time. Furthermore, we hypothesized that the probability of ever experiencing DCI during a decompression is associated with the cumulative volume of bubbles formed. To test these hypotheses, we first used our previously developed formation-and-growth model (Am J Physiol Regulatory Integrative Comp Physiol 279: R2304-R2316, 2000) to simulate Vb.(t) for 20 decompression profiles in which 334 human subjects performed moderate repetitive skeletal muscle exercise (827 kJ/h) in an altitude chamber. Using survival analysis, we determined that, for a controlled condition of exercise, the fraction of the subject population susceptible to DCI can be approximately expressed as a power function of the formation-and-growth model-predicted cumulative volume of bubbles throughout the altitude exposure. Furthermore, for this fraction, the probability density distribution of DCI onset times is approximately equal to the ratio of the time course of formation-and growth-modeled total bubble volume to the predicted cumulative volume.
对于高空减压,我们假设报告的肢体减压病(DCI)疼痛症状的发作时间遵循与作为时间函数的总气泡体积[V(b.)(t)]相关的概率分布。此外,我们假设减压过程中发生DCI的概率与形成的气泡累积体积有关。为了检验这些假设,我们首先使用我们之前开发的形成和生长模型(《美国生理学杂志:调节、整合与比较生理学》279卷:R2304 - R2316,2000年)来模拟334名人类受试者在高空舱中进行中等强度重复性骨骼肌运动(827千焦/小时)的20种减压曲线下的Vb.(t)。使用生存分析,我们确定,对于受控的运动条件,易患DCI的受试者群体比例可以近似表示为整个高空暴露期间形成和生长模型预测的气泡累积体积的幂函数。此外,对于该比例,DCI发作时间的概率密度分布近似等于形成和生长模型模拟的总气泡体积随时间变化过程与预测累积体积的比值。