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脑损伤后脑自动调节功能的监测:使用近红外光谱对脑慢波振荡进行多模态评估

Monitoring cerebral autoregulation after brain injury: multimodal assessment of cerebral slow-wave oscillations using near-infrared spectroscopy.

作者信息

Highton David, Ghosh Arnab, Tachtsidis Ilias, Panovska-Griffiths Jasmina, Elwell Clare E, Smith Martin

机构信息

From the Department of Neurocritical Care, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Trust, London, United Kingdom; and the Department of Medical Physics and Bioengineering, University College London, London, United Kingdom.

出版信息

Anesth Analg. 2015 Jul;121(1):198-205. doi: 10.1213/ANE.0000000000000790.

Abstract

BACKGROUND

Continuous monitoring of cerebral autoregulation might provide novel treatment targets and identify therapeutic windows after acute brain injury. Slow oscillations of cerebral hemodynamics (0.05-0.003 Hz) are visible in multimodal neuromonitoring and may be analyzed to provide novel, surrogate measures of autoregulation. Near-infrared spectroscopy (NIRS) is an optical neuromonitoring technique, which shows promise for widespread clinical applicability because it is noninvasive and easily delivered across a wide range of clinical scenarios. The aim of this study is to identify the relationship between NIRS signal oscillations and multimodal neuromonitoring, examining the utility of near infrared derived indices of cerebrovascular reactivity.

METHODS

Twenty-seven sedated, ventilated, brain-injured patients were included in this observational study. Intracranial pressure, transcranial Doppler-derived flow velocity in the middle cerebral artery, and ipsilateral cerebral NIRS variables were continuously monitored. Signals were compared using wavelet measures of phase and coherence to examine the spectral features involved in reactivity index calculations. Established indices of autoregulatory reserve such as the pressure reactivity index (PRx) and mean velocity index (Mx) and the NIRS indices such as total hemoglobin reactivity index (THx) and tissue oxygen reactivity index (TOx) were compared using correlation and Bland-Altman analysis.

RESULTS

NIRS indices correlated significantly between PRx and THx (rs = 0.63, P < 0.001), PRx and TOx (r = 0.40, P = 0.04), and Mx and TOx (r = 0.61, P = 0.004) but not between Mx and THx (rs = 0.26, P = 0.28) and demonstrated wide limits between these variables: PRx and THx (bias, -0.06; 95% limits, -0.44 to 0.32) and Mx and TOx (bias, +0.15; 95% limits, -0.34 to 0.64). Analysis of slow-wave activity throughout the intracranial pressure, transcranial Doppler, and NIRS recordings revealed statistically significant interrelationships, which varied dynamically and were nonsignificant at frequencies <0.008 Hz.

CONCLUSIONS

Although slow-wave activity in intracranial pressure, transcranial Doppler, and NIRS is significantly similar, it varies dynamically in both time and frequency, and this manifests as incomplete agreement between reactivity indices. Analysis informed by a priori knowledge of physiology underpinning NIRS variables combined with sophisticated analysis techniques has the potential to deliver noninvasive surrogate measures of autoregulation, guiding therapy.

摘要

背景

持续监测脑自动调节功能可能为急性脑损伤提供新的治疗靶点并确定治疗窗。在多模态神经监测中可见脑血流动力学的慢振荡(0.05 - 0.003 Hz),可对其进行分析以提供新的自动调节替代指标。近红外光谱(NIRS)是一种光学神经监测技术,因其无创且易于在广泛的临床场景中应用,显示出广泛临床应用的前景。本研究的目的是确定NIRS信号振荡与多模态神经监测之间的关系,研究近红外衍生的脑血管反应性指标的效用。

方法

本观察性研究纳入了27例接受镇静、机械通气的脑损伤患者。连续监测颅内压、经颅多普勒测得的大脑中动脉血流速度以及同侧脑NIRS变量。使用小波相位和相干测量比较信号,以检查反应性指数计算中涉及的频谱特征。使用相关性分析和布兰德 - 奥特曼分析比较自动调节储备的既定指标,如压力反应性指数(PRx)和平均速度指数(Mx),以及NIRS指标,如总血红蛋白反应性指数(THx)和组织氧反应性指数(TOx)。

结果

PRx与THx(rs = 0.63,P < 0.001)、PRx与TOx(r = 0.40,P = 0.04)以及Mx与TOx(r = 0.61,P = 0.004)之间的NIRS指标显著相关,但Mx与THx之间无显著相关性(rs = 0.26,P = 0.28),且这些变量之间存在较大差异:PRx与THx(偏差,-0.06;95%界限,-0.44至0.32)以及Mx与TOx(偏差,+0.15;95%界限,-0.34至0.64)。对颅内压、经颅多普勒和NIRS记录中的慢波活动分析显示,存在具有统计学意义的相互关系,这些关系在时间和频率上动态变化,在频率<0.008 Hz时无统计学意义。

结论

尽管颅内压、经颅多普勒和NIRS中的慢波活动显著相似,但在时间和频率上均动态变化,这表现为反应性指数之间的不完全一致性。基于支撑NIRS变量的生理学先验知识结合复杂分析技术的分析,有可能提供自动调节的无创替代指标,指导治疗。

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