利用脑血管压力传递模型评估脑血管阻力。
Assessment of cerebrovascular resistance with a model of cerebrovascular pressure transmission.
作者信息
Narayanan Nithya, Leffler Charles W, Daley Michael L
机构信息
Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN 38152-6574, United States.
出版信息
Med Eng Phys. 2009 Mar;31(2):254-60. doi: 10.1016/j.medengphy.2008.07.002. Epub 2008 Aug 8.
A method to assess continuous changes of cerebrovascular resistance based on a biomechanical model of cerebrovascular pressure transmission is developed. Such a method provides an end-point measure to assess new and/or existing management strategies during intensive-care management of patients with brain injury. Changes of both pial arteriolar resistance and cerebrovascular resistance derived by a physiologically based biomechanical model of cerebrovascular pressure transmission, the dynamic relationship between arterial blood pressure (ABP) and intracranial pressure (ICP), were compared to test the validity of the modeling procedure. Pressor challenge was administered to normoxic (N=5) and hypoxic (N=5) piglets equipped with closed cranial windows. Pial arteriolar diameters were used to compute arteriolar resistance. Percent change of pial arteriolar resistance (%DeltaPAR) and percent change of model-derived cerebrovascular resistance (%DeltasCVR) in response to pressor challenge were computed. During intact cerebrovascular regulation and during hypoxia-induced impairment of cerebrovascular regulation, changes in pial arteriolar resistance were accurately predicted by the proposed modeling method designed to assess changes of cerebrovascular resistance.
开发了一种基于脑血管压力传递生物力学模型来评估脑血管阻力持续变化的方法。这种方法提供了一种终点测量方法，用于评估脑损伤患者重症监护管理期间的新的和/或现有的管理策略。通过基于生理的脑血管压力传递生物力学模型得出的软脑膜小动脉阻力和脑血管阻力的变化，即动脉血压（ABP）和颅内压（ICP）之间的动态关系，进行比较以测试建模程序的有效性。对配备封闭颅窗的常氧（N = 5）和低氧（N = 5）仔猪进行升压挑战。使用软脑膜小动脉直径来计算小动脉阻力。计算了响应升压挑战时软脑膜小动脉阻力的百分比变化（%ΔPAR）和模型衍生的脑血管阻力的百分比变化（%ΔsCVR）。在完整的脑血管调节期间和缺氧诱导的脑血管调节受损期间，通过旨在评估脑血管阻力变化的拟议建模方法准确预测了软脑膜小动脉阻力的变化。
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