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颅内压曲线与脑血流的搏动成分相关。

The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow.

作者信息

Unnerbäck Mårten, Bloomfield Eric L, Söderström Sven, Reinstrup Peter

机构信息

Department of Clinical Sciences Lund, Intensive Care and Perioperative Medicine, Lund University, Skane University Hospital, Malmö, Sweden.

IPV SUS Malmö, Inga Marie Nilssons gata 47, 205 02, Malmö, Sweden.

出版信息

J Clin Monit Comput. 2019 Feb;33(1):77-83. doi: 10.1007/s10877-018-0129-0. Epub 2018 Mar 16.

Abstract

Current methods to measure cerebral blood flow (CBF) in the neuro critical care setting cannot monitor the CBF continuously. In contrast, continuous measurement of intracranial pressure (ICP) is readily accomplished, and there is a component of ICP that correlates with arterial inflow of blood into the cranial cavity. This property may have utility in using continuous ICP curve analysis to continuously estimate CBF. We examined the data from 13 patients, monitored with an intraventricular ICP device determining the pulsatile amplitude ICP as well as the area under the ICP curve (AUC). Using an elastance measurement, the ICP curve was converted to craniospinal volume (AUC). The patients were examined with Phase Contrast Magnetic Resonance Imaging (MRI), measuring flow in the carotid and vertebral arteries. This made it possible to calculate CBF for one cardiac cycle (ccCBF) and divide it into the pulsatile (ccCBF) and non-pulsatile (ccCBF) flow. ICP derived data and MRI measurements were compared. Linear regression was used to establish wellness of fit and ANOVA was used to calculate the P value. No correlation was found between ICP and the ccICP (P = 0.067). In contrast there was a correlation between the AUC and ccCBF (R = 0.440 P = 0.013). The AUC correlated more appropriately with the ccCBF. (R = 0.688 P < 0.001). Our findings suggests that the pulsatile part of the intracranial pressure curve, especially when transformed into a volume curve, correlates to the pulsatile part of the CBF.

摘要

在神经重症监护环境中,目前测量脑血流量(CBF)的方法无法持续监测CBF。相比之下,颅内压(ICP)的连续测量很容易实现,并且ICP的一个组成部分与进入颅腔的动脉血流相关。这一特性可能有助于利用连续ICP曲线分析来持续估计CBF。我们检查了13例患者的数据,这些患者使用脑室内ICP装置进行监测,该装置可确定搏动性幅度ICP以及ICP曲线下面积(AUC)。通过弹性测量,将ICP曲线转换为颅脊髓容积(AUC)。对患者进行相位对比磁共振成像(MRI)检查,测量颈动脉和椎动脉的血流。这使得计算一个心动周期的CBF(ccCBF)并将其分为搏动性(ccCBF)和非搏动性(ccCBF)血流成为可能。比较了ICP衍生数据和MRI测量结果。使用线性回归来确定拟合优度,使用方差分析来计算P值。未发现ICP与ccICP之间存在相关性(P = 0.067)。相比之下,AUC与ccCBF之间存在相关性(R = 0.440,P = 0.013)。AUC与ccCBF的相关性更合适(R = 0.688,P < 0.001)。我们的研究结果表明,颅内压曲线的搏动部分,特别是当转换为容积曲线时,与CBF的搏动部分相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07d0/6315053/e4389536a61c/10877_2018_129_Fig1_HTML.jpg

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