An optimal frequency range for assessing the pressure reactivity index in patients with traumatic brain injury

Abstract The objective of this study was to identify the optimal frequency range for computing the pressure reactivity index (PRx). PRx is a clinical method for assessing cerebral pressure autoregulation based on the correlation of spontaneous variations of arterial blood pressure (ABP) and intracranial pressure (ICP). Our hypothesis was that optimizing the methodology for computing PRx in this way could produce a more stable, reliable and clinically useful index of autoregulation status. The patients studied were a series of 131 traumatic brain injury patients. Pressure reactivity indices were computed in various frequency bands during the first 4 days following injury using bandpass filtering of the input ABP and ICP signals. Patient outcome was assessed using the extended Glasgow Outcome Scale (GOSe). The optimization criterion was the strength of the correlation with GOSe of the mean index value over the first 4 days following injury. Stability of the indices was measured as the mean absolute deviation of the minute by minute index value from 30-min moving averages. The optimal index frequency range for prediction of outcome was identified as 0.018–0.067 Hz (oscillations with periods from 55 to 15 s). The index based on this frequency range correlated with GOSe with ρ = −0.46 compared to −0.41 for standard PRx, and reduced the 30-min variation by 23 %.

[1]  B. Levine,et al.  Autonomic Neural Control of Dynamic Cerebral Autoregulation in Humans , 2002, Circulation.

[2]  G Citerio,et al.  Feasibility of a Continuous Computerized Monitoring of Cerebral Autoregulation in Neurointensive Care , 2009, Neurocritical care.

[3]  P. Smielewski,et al.  Continuous Monitoring of Cerebrovascular Pressure Reactivity After Traumatic Brain Injury in Children , 2009, Pediatrics.

[4]  G. Teasdale,et al.  Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use. , 1998, Journal of neurotrauma.

[5]  P. Enblad,et al.  Outcome after traumatic brain injury improved by an organized secondary insult program and standardized neurointensive care* , 2002, Critical care medicine.

[6]  J. Pickard,et al.  Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury* , 2012, Critical care medicine.

[7]  Robert L. Burr,et al.  Cerebral Autoregulation and Outcome in Acute Brain Injury , 2001, Biological research for nursing.

[8]  C. Julien The enigma of Mayer waves: Facts and models. , 2006, Cardiovascular research.

[9]  Odette A. Harris,et al.  Guidelines for the management of severe traumatic brain injury. XV. Steroids. , 2007, Journal of neurotrauma.

[10]  L. Naccache,et al.  The relationship of intracranial pressure Lundberg waves to electroencephalograph fluctuations in patients with severe head trauma , 2005, Acta Neurochirurgica.

[11]  Hester F. Lingsma,et al.  Re-orientation of clinical research in traumatic brain injury: report of an international workshop on comparative effectiveness research. , 2012, Journal of neurotrauma.

[12]  R. Hughson,et al.  Spontaneous beat-by-beat fluctuations of total peripheral and cerebrovascular resistance in response to tilt. , 2004, American journal of physiology. Regulatory, integrative and comparative physiology.

[13]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[14]  A. Popel,et al.  A computational study of the effect of vasomotion on oxygen transport from capillary networks. , 2001, Journal of theoretical biology.

[15]  V R Joseph,et al.  Analysis of Optimization Experiments , 2008 .

[16]  Geoffrey T. Manley,et al.  IX. Cerebral Perfusion Thresholds , 2007 .

[17]  A. Caricato,et al.  Is it time for an autoregulation-oriented therapy in head-injured patients? , 2012, Critical care medicine.

[18]  O. Sakowitz,et al.  Low-frequency sampling for PRx calculation does not reduce prognostication and produces similar CPPopt in intracerebral haemorrhage patients , 2011, Acta Neurochirurgica.

[19]  S. Malpas Neural influences on cardiovascular variability: possibilities and pitfalls. , 2002, American journal of physiology. Heart and circulatory physiology.

[20]  Marek Czosnyka,et al.  Monitoring of Cerebrovascular Autoregulation: Facts, Myths, and Missing Links , 2009, Neurocritical care.

[21]  H. Stauss,et al.  IDENTIFICATION OF BLOOD PRESSURE CONTROL MECHANISMS BY POWER SPECTRAL ANALYSIS , 2007, Clinical and Experimental Pharmacology and Physiology.

[22]  Michael Frankfurter,et al.  Numerical Recipes In C The Art Of Scientific Computing , 2016 .

[23]  H. Nilsson,et al.  Vasomotion: mechanisms and physiological importance. , 2003, Molecular interventions.

[24]  Ian Piper,et al.  Pressure reactivity as a guide in the treatment of cerebral perfusion pressure in patients with brain trauma. , 2005, Journal of neurosurgery.

[25]  B. West,et al.  Generation of very low frequency cerebral blood flow fluctuations in humans. , 2008, Acta neurochirurgica. Supplement.

[26]  G. Parati,et al.  Spectral analysis of blood pressure and heart rate variability in evaluating cardiovascular regulation. A critical appraisal. , 1995, Hypertension.

[27]  T. Donovan,et al.  Cerebrovascular pressure reactivity is related to global cerebral oxygen metabolism after head injury , 2003, Journal of neurology, neurosurgery, and psychiatry.

[28]  Marek Czosnyka,et al.  Continuous monitoring of cerebrovascular pressure reactivity in patients with head injury. , 2008, Neurosurgical focus.

[29]  B. Jennett,et al.  Assessment of coma and impaired consciousness. A practical scale. , 1974, Lancet.

[30]  J. Meixensberger,et al.  Effects of cerebrovascular pressure reactivity-guided optimization of cerebral perfusion pressure on brain tissue oxygenation after traumatic brain injury* , 2010, Critical care medicine.

[31]  J. Pickard,et al.  Continuous assessment of the cerebral vasomotor reactivity in head injury. , 1997, Neurosurgery.

[32]  David W. Kaczka,et al.  Positive end-expiratory pressure oscillation facilitates brain vascular reactivity monitoring. , 2012, Journal of applied physiology.

[33]  Giuseppe Citerio,et al.  NICEM consensus on neurological monitoring in acute neurological disease , 2008, Intensive Care Medicine.

[34]  Steven G. Johnson,et al.  The Design and Implementation of FFTW3 , 2005, Proceedings of the IEEE.