Continuous monitoring of cerebrovascular pressure-reactivity in head injury.

OBJECTIVE Cerebrovascular vasomotor reactivity reflects changes in smooth muscle tone in the arterial wall in response to changes in transmural pressure or concentration of carbon dioxide in blood. We have investigated whether slow waves in ABP and ICP may be used to derive an index which reflects reactivity of vessels to changes in arterial blood pressure. METHODS A method for the continuous monitoring of the association between slow spontaneous waves in ICP and AP has been adopted in a group of 98 head injured patients. ABP, ICP and transcranial Doppler blood flow velocity (FV) in the middle cerebral artery was recorded daily (20 to 120 minutes time periods). A Pressure-Reactivity Index (PRx) was calculated as a moving correlation coefficient between 40 consecutive samples of values for ICP and ABP averaged over 5 seconds. A moving correlation coefficient between spontaneous fluctuations of mean FV and CPP (Mx), which was previously reported to describe cerebral blood flow autoregulation, was also calculated. In an additional 25 patients, PRx was calculated and recorded continuously along with mean ICP, ABP and parameters describing ICP waveform. RESULTS A positive PRx correlated with high ICP (r = 0.366; p < 0.001), low admission GCS (r = 0.29; p < 0.01), and poor outcome at 6 months after injury (r = 0.48; p < 0.00001). During the first two days following injury, PRx was positive (p < 0.05) in patients with unfavourable outcome. The correlation between PRx and Mx (r = 0.63) was highly significant (p < 0.000001). Continuous recordings demonstrated that PRx was able to indicate individual thresholds of vascular reactivity for CPP, ICP, and ventilation parameters. CONCLUSION Computer analysis of slow waves in ABP and ICP is able to provide a continuous index of cerebrovascular reactivity to changes in arterial pressure, which is of prognostic significance.

[1]  N. Lundberg,et al.  Continuous recording and control of ventricular fluid pressure in neurosurgical practice. , 1962, Acta psychiatrica Scandinavica. Supplementum.

[2]  G. Cold,et al.  Cerebral Autoregulation in Unconscious Patients with Brain Injury , 1978, Acta anaesthesiologica Scandinavica.

[3]  E. Enevoldsen,et al.  Autoregulation and CO2 responses of cerebral blood flow in patients with acute severe head injury. , 1978, Journal of neurosurgery.

[4]  A A DeSalles,et al.  Cerebral blood flow and metabolism in severely head-injured children. Part 1: Relationship with GCS score, outcome, ICP, and PVI. , 1989, Journal of neurosurgery.

[5]  R. Aaslid,et al.  Cerebral autoregulation dynamics in humans. , 1989, Stroke.

[6]  A. Marmarou,et al.  Cerebral blood flow and metabolism in severely head-injured children. Part 2: Autoregulation. , 1989, Journal of neurosurgery.

[7]  J. Seylaz,et al.  Rapid Autoregulation of Cerebral Blood Flow: A Laser-Doppler Flowmetry Study , 1992, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[8]  D. Newell,et al.  The relationship of blood flow velocity fluctuations to intracranial pressure B waves. , 1992, Journal of neurosurgery.

[9]  M. Rosner,et al.  Cerebral perfusion pressure: management protocol and clinical results. , 1995, Journal of neurosurgery.

[10]  E. Rüther,et al.  Dynamics of cerebral blood flow velocities during normal human sleep , 1995, Clinical Neurology and Neurosurgery.

[11]  R. Chesnut,et al.  Intracranial pressure and cerebral perfusion pressure in severe head injury. , 1995, New horizons.