Neurocritical Care Unit, University College London Hospitals, London, UK.
Department of Medical Physics and Bioengineering, University College London, London, UK.
Adv Exp Med Biol. 2013;789:345-351. doi: 10.1007/978-1-4614-7411-1_46.
Raised intracranial pressure (ICP) is a key concern following acute brain injury as it may be associated with cerebral hypoperfusion and poor outcome. In this research we describe a mathematical physiological model designed to interpret cerebral physiology from neuromonitoring: ICP, near-infrared spectroscopy and transcranial Doppler flow velocity. This aims to characterise the complex dynamics of cerebral compliance, cerebral blood volume, cerebral blood flow and their regulation in individual patients. Analysis of data from six brain-injured patients produces cohesive predictions of cerebral biomechanics suggesting reduced cerebral compliance, reduced volume compensation and impaired blood flow autoregulation. Patient-specific physiological modelling has the potential to predict the key biomechanical and haemodynamic changes following brain injury in individual patients, and might be used to inform individualised treatment strategies.
颅内压升高（ICP）是急性脑损伤后的一个关键关注点，因为它可能与脑灌注不足和预后不良有关。在这项研究中，我们描述了一个数学生理模型，旨在从神经监测中解释脑生理学：ICP、近红外光谱和经颅多普勒血流速度。这旨在描述个体患者脑顺应性、脑血容量、脑血流及其调节的复杂动力学。对 6 名脑损伤患者的数据进行分析，得出了一致的脑生物力学预测结果，表明脑顺应性降低、容量补偿减少和血流自动调节受损。患者特异性生理建模有可能预测个体患者脑损伤后的关键生物力学和血液动力学变化，并可能用于指导个体化治疗策略。
