Steinmeier R, Bauhuf C, Hübner U, Bauer R D, Fahlbusch R, Laumer R, Bondar I
Department of Neurosurgery, University of Erlangen-Nürnberg, Germany.
Stroke. 1996 Dec;27(12):2236-43. doi: 10.1161/01.str.27.12.2236.
Various biological signals show nonpulsatile, slow rhythmic oscillations. These include arterial blood pressure (aBP), blood flow velocity in cerebral arteries, intracranial pressure (ICP), cerebral microflow, and cerebral tissue PO2. Generation and interrelations between these rhythmic fluctuations remained unclear. The aim of this study was to analyze whether stable dynamic interrelations in the low-frequency range exist between these different variables, and if they do, to analyze their exact time delay.
In a clinical study, 16 comatose patients with either higher-grade subarachnoid hemorrhage or severe traumatic brain injury were examined. A multimodal digital data acquisition system was used to simultaneously monitor aBP, flow velocity in the middle cerebral artery (FVMCA), ICP, cerebral microflow, and oxygen saturation in the jugular bulb (SjO2). Cross-correlation as a means to analyze time delay and correlation between two periodic signals was applied to a time series of 30 minutes' duration divided into four segments of 2048 data points (approximately 436 seconds) each. This resulted in four cross-correlations for each 30-minute time series. If the four cross-correlations were consistent and reproducible, averaging of the original cross-correlations was performed, resulting in a representative time delay and correlation for the complete 30-minute interval.
Reproducible cross-correlations and stable dynamic interrelations were found between aBP, FVMCA, ICP, and SjO2. The mean time delay between aBP and ICP was 6.89 +/- 1.90 seconds, with a negative correlation in 81%. A mean time delay of 1.50 +/- 1.29 seconds (median, 0.85 seconds) was found between FVMCA and ICP, with a positive correlation in 94%. The mean delay between ICP and SjO2 was 9.47 +/- 2.21 seconds, with a positive correlation in 77%. Mean values of aBP and ICP did not influence the time delay and dynamic interrelation between the different parameters.
These results strongly support Rosner's theory that ICP B-waves are the autoregulatory response of spontaneous fluctuations of cerebral perfusion pressure. There is casuistic evidence that failure of autoregulation significantly modifies time delay and the correlation between aBP and ICP.
多种生物信号呈现非搏动性、缓慢的节律性振荡。这些信号包括动脉血压(aBP)、脑动脉血流速度、颅内压(ICP)、脑微血流以及脑组织氧分压。这些节律性波动之间的产生及相互关系仍不明确。本研究的目的是分析这些不同变量在低频范围内是否存在稳定的动态相互关系,若存在,则分析其确切的时间延迟。
在一项临床研究中,对16例患有高级别蛛网膜下腔出血或重度创伤性脑损伤的昏迷患者进行了检查。使用多模式数字数据采集系统同时监测aBP、大脑中动脉血流速度(FVMCA)、ICP、脑微血流以及颈静脉球部血氧饱和度(SjO2)。将互相关作为分析两个周期性信号之间时间延迟和相关性的方法,应用于时长30分钟的时间序列,该序列分为四个部分,每个部分有2048个数据点(约436秒)。这样每个30分钟的时间序列会得到四个互相关。如果这四个互相关一致且可重复,则对原始互相关进行平均,从而得到整个30分钟间隔的代表性时间延迟和相关性。
在aBP、FVMCA、ICP和SjO2之间发现了可重复的互相关和稳定的动态相互关系。aBP与ICP之间的平均时间延迟为6.89±1.90秒,81%呈负相关。FVMCA与ICP之间的平均时间延迟为1.50±1.29秒(中位数为0.85秒),94%呈正相关。ICP与SjO2之间的平均延迟为9.47±2.21秒,77%呈正相关。aBP和ICP的平均值并未影响不同参数之间的时间延迟和动态相互关系。
这些结果有力地支持了罗斯纳的理论,即ICP B波是脑灌注压自发波动的自动调节反应。有个别证据表明,自动调节功能障碍会显著改变时间延迟以及aBP与ICP之间的相关性。