A New Index Derived from the Cerebrovascular Pressure Transmission and Correlated with Consciousness Recovery in Severely Head-Injured Intensive Care Patients

BACKGROUND: In patients with serious head trauma, a moderate (20–25 mm Hg) mean level of intracranial pressure (ICP) may fail to distinguish patients with a real deteriorated intracranial status from those who are stable or improving. Because of these limitations, we analyzed the ICP curve in search of other relevant information regarding cerebrovascular pressure transmission. We looked for parameters with physiological meaning extracted from spectral analysis of cerebrovascular pressure transmission and correlated with consciousness recovery in patients with severe head injuries. METHODS: A prospective cohort study was conducted in an intensive care unit of the University Hospital, Montpellier, France, from December 2003 to December 2005. Thirty consecutive patients admitted for severe head trauma were subjected to sedatives, mechanical ventilation, and intraparenchymatous recording of ICP and were evaluated with Glasgow Outcome Scale score. Simultaneous 60-s recordings of ICP and arterial blood pressure (BP) signals, beginning as soon as possible after head trauma, were repeated until death or clinical stabilization, every 15 min, with physicians blinded to the patients’ data. Spectra of ICP and BP waveforms were computed with Fourier transform. Amplitudes of cardiac and respiratory harmonics were analyzed. Cardiac (or respiratory) gain was defined as the ratio of amplitudes of cardiac (or respiratory) harmonic of ICP to BP signals and referred to as Gc and Gr, respectively. RESULTS: Twenty of the 30 enrolled patients recovered consciousness (Glasgow Outcome Scale score = 3, 4, or 5). Gr/Gc averaged over the whole recording period performed better in discriminating consciousness recovery (area under receiver operating characteristic [ROC] curve: 0.98; 95% confidence interval [CI]: 0.91–1) than ICP (0.76; 95% CI: 0.54–0.97), cerebral perfusion pressure (0.75; 95% CI: 0.53–0.97) and Gc (0.77; 95% CI: 0.57–0.99) (P < 0.001 for each comparison). When considering the recording period 30 h posttrauma (hpt), 162 hpt, a value of Gr/Gc ≥4 was always associated with consciousness recovery, and the relative risk was equal to 9 (95% CI: 1.42–57.12). CONCLUSIONS: Gr/Gc, which characterizes the cerebrovascular transmission, better discriminates bad evolution than high values of ICP or low values of cerebral perfusion pressure in patients with severe head trauma. A reduction in Gr/Gc ratio might be an early alarm signaling worsening intracranial hemodynamic conditions.

[1]  Steven Laureys,et al.  Quantifying consciousness , 2005, The Lancet Neurology.

[2]  M. Daley,et al.  Detection of loss of cerebral vascular tone by correlation of arterial and intracranial pressure signals , 1995, IEEE Transactions on Biomedical Engineering.

[3]  T B Kuo,et al.  Frequency Domain Analysis of Cerebral Blood Flow Velocity and its Correlation with Arterial Blood Pressure , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[4]  R. Jennrich,et al.  Unbalanced repeated-measures models with structured covariance matrices. , 1986, Biometrics.

[5]  A. K. Prasad,et al.  Intracranial pressure waveform analysis: computation of pressure transmission and waveform shape indicators. , 1998, Neurological research.

[6]  R. Panerai,et al.  Linear and nonlinear analysis of human dynamic cerebral autoregulation. , 1999, American journal of physiology. Heart and circulatory physiology.

[7]  An experimental study of cerebrovascular resistance, pressure transmission, and craniospinal compliance. , 1994, Neurosurgery.

[8]  Miller,et al.  Systems analysis of cerebrovascular pressure transmission: an observational study in head-injured patients. , 1990, Journal of neurosurgery.

[9]  A. F. Harvey,et al.  The Fundamentals of FFT-Based Signal Analysis and Measurement in LabVIEW and LabWindows , 1993 .

[10]  G. Carter,et al.  Estimation of the magnitude-squared coherence function via overlapped fast Fourier transform processing , 1973 .

[11]  B. Levine,et al.  Transfer function analysis of dynamic cerebral autoregulation in humans. , 1998, American journal of physiology. Heart and circulatory physiology.

[12]  M. Rosner,et al.  Cerebral perfusion pressure management in head injury. , 1990, The Journal of trauma.

[13]  R C Littell,et al.  Mixed Models: Modelling Covariance Structure in the Analysis of Repeated Measures Data , 2005 .

[14]  M. Ursino,et al.  A simple mathematical model of the interaction between intracranial pressure and cerebral hemodynamics. , 1997, Journal of applied physiology.

[15]  J. Pickard,et al.  Monitoring and interpretation of intracranial pressure , 2004, Journal of Neurology, Neurosurgery & Psychiatry.

[16]  J. Pickard,et al.  Significance of intracranial pressure waveform analysis after head injury , 2005, Acta Neurochirurgica.

[17]  I. Piper,et al.  An experimental study of cerebrovascular resistance, pressure transmission, and craniospinal compliance. , 1993, Neurosurgery.

[18]  B. Jennett,et al.  ASSESSMENT OF OUTCOME AFTER SEVERE BRAIN DAMAGE A Practical Scale , 1975, The Lancet.

[19]  Modeling Modulation of Intracranial Pressure by Variation of Cerebral Venous Resistance Induced by Ventilation , 2003, Annals of Biomedical Engineering.

[20]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[21]  Juan Lu,et al.  Prognostic value of computerized tomography scan characteristics in traumatic brain injury: results from the IMPACT study. , 2007, Journal of neurotrauma.

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

[23]  E. Steyerberg,et al.  Multivariable prognostic analysis in traumatic brain injury: results from the IMPACT study. , 2007, Journal of neurotrauma.

[24]  Kyriacos A. Athanasiou,et al.  Principles of Cell Mechanics for Cartilage Tissue Engineering , 2004, Annals of Biomedical Engineering.

[25]  B. Ruiz,et al.  Lung expansion, airway pressure transmission, and positive end-expiratory pressure. , 1979, Archives of surgery.

[26]  M. Daley,et al.  Correlation coefficient between intracranial and arterial pressures: a gauge of cerebral vascular dilation. , 1998, Acta neurochirurgica. Supplement.

[27]  B. Matta,et al.  Intracranial hypertension: what additional information can be derived from ICP waveform after head injury? , 2004, Acta Neurochirurgica.

[28]  Foss Mv MANAGEMENT OF VIRUS HEPATITIS. , 1964 .

[29]  T S Richmond,et al.  Intracranial pressure monitoring. , 1993, AACN clinical issues in critical care nursing.

[30]  W. Poon,et al.  Systems analysis applied to intracranial pressure waveforms and correlation with clinical status in head injured patients. , 1991, British journal of anaesthesia.

[31]  B Jennett,et al.  Assessment of outcome after severe brain damage. , 1975, Lancet.

[32]  A. Marmarou,et al.  Contribution of CSF and vascular factors to elevation of ICP in severely head-injured patients. , 1987, Journal of neurosurgery.

[33]  T. Langfitt,et al.  Cerebral vasomotor paralysis produced by intracranial hypertension , 1965, Neurology.

[34]  Y. Hasegawa,et al.  Transmission characteristics of pulse waves in the intracranial cavity of dogs. , 1987, Journal of neurosurgery.

[35]  Juan Lu,et al.  Prognostic value of the Glasgow Coma Scale and pupil reactivity in traumatic brain injury assessed pre-hospital and on enrollment: an IMPACT analysis. , 2007, Journal of neurotrauma.

[36]  Cyclic variation of cerebral pial arteriolar diameter synchronized with positive-pressure inhalation. , 2002, Acta neurochirurgica. Supplement.

[37]  J P Blanks,et al.  CSF pulsatility in hydrocephalus: respiratory effect on pulse wave slope as an indicator of intracranial compliance. , 1990, Neurological research.

[38]  M Ursino,et al.  Intracranial pressure dynamics in patients with acute brain damage. , 1997, Journal of applied physiology.

[39]  Vasilis Z. Marmarelis,et al.  Coherence and apparent transfer function measurements for nonlinear physiological systems , 2006, Annals of Biomedical Engineering.

[40]  J. Hanley,et al.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.

[41]  H. Portnoy,et al.  Systems analysis of intracranial pressure. Comparison with volume-pressure test and CSF-pulse amplitude analysis. , 1980, Journal of neurosurgery.