Simon R H, Lehman R A, O'Connor S J
Neurosurgery. 1984 Nov;15(5):694-9. doi: 10.1227/00006123-198411000-00010.
Traditional descriptions of the pressure-volume properties of the craniospinal axis have expressed pressure as a function of volume. This study develops a theoretical and practical rationale for expressing volume as a function of pressure. We tested the rationale by comparing the two functions using pressure and volume data collected from 37 hydrocephalic patients during ventricular fluid removal. Two equivalent expressions were evaluated, one expressing pressure as an exponential function of volume and one relating volume as an exponential function of pressure. Each expression had three parameters, adjustable to the specific case. We used a nonlinear curve-fitting algorithm to determine the best estimate of the parameters. We could fit three-parameter exponential functions of either type to the data in all cases. We found a superior goodness-of-fit to aggregated data when expressing volume as a three-parameter exponential function of pressure changes. This finding is discussed in the context of the preferable number of parameters in a model and the interpretation of the terms in the models. This "reversed" volume-pressure relationship has importance in the development of more complicated models involving these same relationships.
传统上对颅脊轴压力-容积特性的描述是将压力表示为容积的函数。本研究提出了将容积表示为压力函数的理论和实际依据。我们通过比较使用从37例脑积水患者脑室引流期间收集的压力和容积数据得到的两种函数,来检验这一依据。评估了两个等效表达式,一个将压力表示为容积的指数函数,另一个将容积表示为压力的指数函数。每个表达式都有三个参数,可根据具体情况进行调整。我们使用非线性曲线拟合算法来确定参数的最佳估计值。在所有情况下,我们都可以将两种类型的三参数指数函数拟合到数据中。当将容积表示为压力变化的三参数指数函数时,我们发现对汇总数据的拟合优度更高。在模型中参数的最佳数量以及模型中各项的解释背景下讨论了这一发现。这种“反向”的容积-压力关系在涉及这些相同关系的更复杂模型的开发中具有重要意义。