Panerai R B
Division of Medical Physics, Faculty of Medicine, University of Leicester, Leicester Royal Infirmary, UK.
Physiol Meas. 1998 Aug;19(3):305-38. doi: 10.1088/0967-3334/19/3/001.
Assessment of cerebral autoregulation is an important adjunct to measurement of cerebral blood flow for diagnosis, monitoring or prognosis of cerebrovascular disease. The most common approach tests the effects of changes in mean arterial blood pressure on cerebral blood flow, known as pressure autoregulation. A 'gold standard' for this purpose is not available and the literature shows considerable disparity of methods and criteria. This is understandable because cerebral autoregulation is more a concept rather than a physically measurable entity. Static methods utilize steady-state values to test for changes in cerebral blood flow (or velocity) when mean arterial pressure is changed significantly. This is usually achieved with the use of drugs, shifts in blood volume or by observing spontaneous changes. The long time interval between measurements is a particular concern in many of the studies reviewed. Parallel changes in other critical variables, such as pCO2, haematocrit, brain activation and sympathetic tone, are rarely controlled for. Proposed indices of static autoregulation are based on changes in cerebrovascular resistance, on parameters of the linear regression of flow/velocity versus pressure changes, or only on the absolute changes in flow. The limitations of studies which assess patient groups rather than individual cases are highlighted. Newer methods of dynamic assessment are based on transient changes in cerebral blood flow (or velocity) induced by the deflation of thigh cuffs, Valsalva manoeuvres, tilting and induced or spontaneous oscillations in mean arterial blood pressure. Dynamic testing overcomes several limitations of static methods but it is not clear whether the two approaches are interchangeable. Classification of autoregulation performance using dynamic methods has been based on mathematical modelling, coherent averaging, transfer function analysis, crosscorrelation function or impulse response analysis. More research on reproducibility and inter-method comparisons is urgently needed, particularly involving the assessment of pressure autoregulation in individuals rather than patient groups.
评估脑自动调节功能是测量脑血流量的一项重要辅助手段,可用于脑血管疾病的诊断、监测或预后评估。最常见的方法是测试平均动脉血压变化对脑血流量的影响,即压力自动调节。目前尚无用于此目的的“金标准”,文献表明方法和标准存在很大差异。这是可以理解的,因为脑自动调节更多是一个概念,而非一个可实际测量的实体。静态方法利用稳态值来测试当平均动脉血压显著变化时脑血流量(或速度)的变化。这通常通过使用药物、改变血容量或观察自发变化来实现。在许多综述的研究中,测量之间的长时间间隔是一个特别需要关注的问题。其他关键变量,如pCO2、血细胞比容、脑激活和交感神经张力的平行变化很少得到控制。提议的静态自动调节指标基于脑血管阻力的变化、流量/速度与压力变化的线性回归参数,或仅基于流量的绝对变化。强调了评估患者群体而非个体病例的研究的局限性。更新的动态评估方法基于大腿袖带放气、瓦尔萨尔瓦动作、倾斜以及平均动脉血压的诱发或自发振荡所引起的脑血流量(或速度)的瞬时变化。动态测试克服了静态方法的几个局限性,但尚不清楚这两种方法是否可互换。使用动态方法对自动调节性能进行分类是基于数学建模、相干平均、传递函数分析、互相关函数或脉冲响应分析。迫切需要对可重复性和方法间比较进行更多研究,特别是涉及个体而非患者群体的压力自动调节评估。