Uryga Agnieszka, Kasprowicz Magdalena, Calviello Leanne, Diehl Rolf R, Kaczmarska Katarzyna, Czosnyka Marek
Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland.
Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK.
J Clin Monit Comput. 2019 Feb;33(1):85-94. doi: 10.1007/s10877-018-0136-1. Epub 2018 Apr 4.
Prior methods evaluating the changes in cerebral arterial blood volume (∆CBV) assumed that brain blood transport distal to big cerebral arteries can be approximated with a non-pulsatile flow (CFF) model. In this study, a modified ∆CBV calculation that accounts for pulsatile blood flow forward (PFF) from large cerebral arteries to resistive arterioles was investigated. The aim was to assess cerebral hemodynamic indices estimated by both CFF and PFF models while changing arterial blood carbon dioxide concentration (EtCO) in healthy volunteers.
Continuous recordings of non-invasive arterial blood pressure (ABP), transcranial Doppler blood flow velocity (CBFV), and EtCO were performed in 53 young volunteers at baseline and during both hypo- and hypercapnia. The time constant of the cerebral arterial bed (τ) and critical closing pressure (CrCP) were estimated using mathematical transformations of the pulse waveforms of ABP and CBFV, and with both pulsatile and non-pulsatile models of ∆CBV estimation. Results are presented as median values ± interquartile range.
Both CrCP and τ gave significantly lower values with the PFF model when compared with the CFF model (p ≪ 0.001 for both). In comparison to normocapnia, both CrCP and τ determined with the PFF model increased during hypocapnia [CrCP (mm Hg): 5.52 ± 8.78 vs. 14.36 ± 14.47, p = 0.00006; τ (ms): 47.4 ± 53.9 vs. 72.8 ± 45.7, p = 0.002] and decreased during hypercapnia [CrCP (mm Hg): 5.52 ± 8.78 vs. 2.36 ± 7.05, p = 0.0001; τ (ms): 47.4 ± 53.9 vs. 29.0 ± 31.3, p = 0.0003]. When the CFF model was applied, no changes were found for CrCP during hypercapnia or in τ during hypocapnia.
Our results suggest that the pulsatile flow forward model better reflects changes in CrCP and in τ induced by controlled alterations in EtCO.
先前评估脑动脉血容量变化(∆CBV)的方法假定大脑大动脉远端的脑血流可通过非搏动性血流(CFF)模型进行近似估算。在本研究中,对一种修正的∆CBV计算方法进行了研究,该方法考虑了从大脑大动脉到阻力小动脉的搏动性向前血流(PFF)。目的是在改变健康志愿者动脉血二氧化碳浓度(EtCO)的同时,评估由CFF和PFF模型估算的脑血流动力学指标。
对53名年轻志愿者在基线以及低碳酸血症和高碳酸血症期间进行无创动脉血压(ABP)、经颅多普勒血流速度(CBFV)和EtCO的连续记录。使用ABP和CBFV脉搏波形的数学变换以及∆CBV估算的搏动性和非搏动性模型来估算脑动脉床的时间常数(τ)和临界关闭压(CrCP)。结果以中位数±四分位间距表示。
与CFF模型相比,PFF模型得出的CrCP和τ值均显著更低(两者p均≪0.001)。与正常碳酸血症相比,PFF模型测定的CrCP和τ在低碳酸血症期间均升高[CrCP(mmHg):5.52±8.78 vs. 14.36±14.47,p = 0.00006;τ(ms):47.4±53.9 vs. 72.8±45.7,p = 0.002],在高碳酸血症期间均降低[CrCP(mmHg):5.52±8.78 vs. 2.36±7.05,p = 0.0001;τ(ms):47.4±53.9 vs. 29.0±31.3,p = 0.0003]。应用CFF模型时,高碳酸血症期间CrCP或低碳酸血症期间τ均未发现变化。
我们的结果表明,搏动性向前血流模型能更好地反映由EtCO的控制性改变引起的CrCP和τ的变化。