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一种颅内压与脑血流动力学相互作用的简单数学模型。

A simple mathematical model of the interaction between intracranial pressure and cerebral hemodynamics.

作者信息

Ursino M, Lodi C A

机构信息

Department of Electronics, Computer Science, and Systems, University of Bologna, Italy.

出版信息

J Appl Physiol (1985). 1997 Apr;82(4):1256-69. doi: 10.1152/jappl.1997.82.4.1256.

Abstract

A simple mathematical model of intracranial pressure (ICP) dynamics oriented to clinical practice is presented. It includes the hemodynamics of the arterial-arteriolar cerebrovascular bed, cerebrospinal fluid (CSF) production and reabsorption processes, the nonlinear pressure-volume relationship of the craniospinal compartment, and a Starling resistor mechanism for the cerebral veins. Moreover, arterioles are controlled by cerebral autoregulation mechanisms, which are simulated by means of a time constant and a sigmoidal static characteristic. The model is used to simulate interactions between ICP, cerebral blood volume, and autoregulation. Three different related phenomena are analyzed: the generation of plateau waves, the effect of acute arterial hypotension on ICP, and the role of cerebral hemodynamics during pressure-volume index (PVI) tests. Simulation results suggest the following: 1) ICP dynamics may become unstable in patients with elevated CSF outflow resistance and decreased intracranial compliance, provided cerebral autoregulation is efficient. Instability manifests itself with the occurrence of self-sustained plateau waves. 2) Moderate acute arterial hypotension may have completely different effects on ICP, depending on the value of model parameters. If physiological compensatory mechanisms (CSF circulation and intracranial storage capacity) are efficient, acute hypotension has only negligible effects on ICP and cerebral blood flow (CBF). If these compensatory mechanisms are poor, even modest hypotension may induce a large transient increase in ICP and a significant transient reduction in CBF, with risks of secondary brain damage. 3) The ICP response to a bolus injection (PVI test) is sharply affected, via cerebral blood volume changes, by cerebral hemodynamics and autoregulation. We suggest that PVI tests may be used to extract information not only on intracranial compliance and CSF circulation, but also on the status of mechanisms controlling CBF.

摘要

本文提出了一个面向临床实践的颅内压(ICP)动力学简单数学模型。该模型包括动脉 - 小动脉脑血管床的血流动力学、脑脊液(CSF)生成与重吸收过程、颅脊髓腔的非线性压力 - 容积关系以及脑静脉的斯塔林电阻器机制。此外,小动脉受脑自动调节机制控制,通过时间常数和S形静态特性进行模拟。该模型用于模拟ICP、脑血容量和自动调节之间的相互作用。分析了三种不同的相关现象:高原波的产生、急性动脉低血压对ICP的影响以及压力 - 容积指数(PVI)测试期间脑血流动力学的作用。模拟结果表明:1)在脑脊液流出阻力升高和颅内顺应性降低的患者中,只要脑自动调节有效,ICP动力学可能变得不稳定。不稳定性表现为出现自持性高原波。2)中度急性动脉低血压对ICP可能有完全不同的影响,这取决于模型参数的值。如果生理代偿机制(脑脊液循环和颅内储存能力)有效,急性低血压对ICP和脑血流量(CBF)的影响可忽略不计。如果这些代偿机制较差,即使是适度的低血压也可能导致ICP大幅短暂升高和CBF显著短暂降低,存在继发性脑损伤的风险。3)通过脑血容量变化,脑血流动力学和自动调节对推注注射(PVI测试)的ICP反应有显著影响。我们认为PVI测试不仅可用于获取关于颅内顺应性和脑脊液循环的信息,还可用于获取控制CBF机制的状态信息。

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