Department of Clinical Sciences Lund, Intensive Care and Perioperative Medicine, Lund University, Skåne University Hospital, IPV SUS Malmö, Inga Marie Nilssons gata 47, 205 02, Malmö, Sweden.
Department of Science and Environment, Roskilde University, Roskilde, Denmark.
J Clin Monit Comput. 2020 Jun;34(3):469-481. doi: 10.1007/s10877-019-00342-8. Epub 2019 Jul 1.
The physiology underlying the intracranial pressure (ICP) curve morphology is not fully understood. Recent research has suggested that the morphology could be dependent on arterial cerebral inflow and the physiological and pathophysiological properties of the intracranial cavity. If understood, the ICP curve could provide information about the patient's cerebrovascular state important in individualizing treatment in neuro intensive care patients. A mathematical model based on known physiological properties of the intracranial compartment was created. Clinical measurements from ten neuro intensive care patients in whom intracranial arterial blood inflow, venous blood outflow and cerebrospinal fluid flow over the foramen magnum had been measured with phase contrast MRI, concomitant with ICP measurements were used to validate the model. In nine patients the mathematical model was able to create an ICP curve mimicking the measured by using arterial intracranial inflow and adjusting physiological parameters of the model. The venous outflow and cerebrospinal fluid (CSF) flow over the foramen magnum predicted by the model were within physiologically reasonable limits and in most cases followed the MRI measured values in close adjunct. The presented model could produce an ICP curve in close resemblance of the in vivo measured curves. This strengthens the hypothesis that the ICP curve is shaped by the arterial intracranial inflow and the physiological properties of the intracranial cavity.
颅内压 (ICP) 曲线形态的生理基础尚未完全阐明。最近的研究表明,形态可能依赖于动脉脑流入以及颅内的生理和病理生理特性。如果能够理解,ICP 曲线可以提供有关患者脑血管状态的信息,这对于神经重症监护患者的个体化治疗非常重要。基于颅内腔已知的生理特性创建了一个数学模型。使用相位对比 MRI 测量了十名神经重症监护患者的颅内动脉血液流入、静脉血液流出和通过枕骨大孔的脑脊液流动,并同时测量了 ICP,利用这些临床测量数据对模型进行了验证。在九名患者中,该数学模型能够使用动脉颅内流入并调整模型的生理参数来创建模拟测量的 ICP 曲线。模型预测的静脉流出和通过枕骨大孔的脑脊液 (CSF) 流量在生理合理范围内,并且在大多数情况下,与 MRI 测量值密切相关。所提出的模型可以产生与体内测量曲线非常相似的 ICP 曲线。这加强了 ICP 曲线由动脉颅内流入和颅内腔的生理特性塑造的假设。