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经颅多普勒搏动指数:评估颅内压的不精确方法。

Transcranial Doppler pulsatility index: not an accurate method to assess intracranial pressure.

机构信息

Department of Clinical Neuroscience, Umeå University, Umeå, Sweden.

出版信息

Neurosurgery. 2010 Jun;66(6):1050-7. doi: 10.1227/01.NEU.0000369519.35932.F2.


DOI:10.1227/01.NEU.0000369519.35932.F2
PMID:20495421
Abstract

BACKGROUND: Transcranial Doppler sonography (TCD) assessment of intracranial blood flow velocity has been suggested to accurately determine intracranial pressure (ICP). OBJECTIVE: We attempted to validate this method in patients with communicating cerebrospinal fluid systems using predetermined pressure levels. METHODS: Ten patients underwent a lumbar infusion test, applying 4 to 5 preset ICP levels. On each level, the pulsatility index (PI) in the middle cerebral artery was determined by measuring the blood flow velocity using TCD. ICP was simultaneously measured with an intraparenchymal sensor. ICP and PI were compared using correlation analysis. For further understanding of the ICP-PI relationship, a mathematical model of the intracranial dynamics was simulated using a computer. RESULTS: The ICP-PI regression equation was based on data from 8 patients. For 2 patients, no audible Doppler signal was obtained. The equation was ICP = 23*PI + 14 (R = 0.22, P < .01, N = 35). The 95% confidence interval for a mean ICP of 20 mm Hg was -3.8 to 43.8 mm Hg. Individually, the regression coefficients varied from 42 to 90 and the offsets from -32 to +3. The mathematical simulations suggest that variations in vessel compliance, autoregulation, and arterial pressure have a serious effect on the ICP-PI relationship. CONCLUSIONS: The in vivo results show that PI is not a reliable predictor of ICP. Mathematical simulations indicate that this is caused by variations in physiological parameters.

摘要

背景:经颅多普勒超声(TCD)评估颅内血流速度已被建议用于准确确定颅内压(ICP)。

目的:我们试图使用预定的压力水平在具有连通性脑脊液系统的患者中验证该方法。

方法:十名患者接受腰椎输注试验,应用 4 至 5 个预设的 ICP 水平。在每个水平上,通过 TCD 测量血流速度来确定大脑中动脉的搏动指数(PI)。同时使用脑内传感器测量 ICP。使用相关分析比较 ICP 和 PI。为了进一步了解 ICP-PI 关系,使用计算机模拟颅内动力学的数学模型。

结果:ICP-PI 回归方程基于 8 名患者的数据。对于 2 名患者,未获得可听的多普勒信号。该方程为 ICP = 23*PI + 14(R = 0.22,P <.01,N = 35)。平均 ICP 为 20mmHg 时的 95%置信区间为 -3.8 至 43.8mmHg。单独来看,回归系数从 42 到 90 不等,偏移量从 -32 到 +3。数学模拟表明,血管顺应性、自动调节和动脉压的变化对 ICP-PI 关系有严重影响。

结论:体内结果表明 PI 不是 ICP 的可靠预测指标。数学模拟表明,这是由于生理参数的变化引起的。

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