Literature DB >> 17476455

Dynamic cerebral autoregulation: should intracranial pressure be taken into account?

P M Lewis1, P Smielewski, J D Pickard, M Czosnyka.   

Abstract

BACKGROUND: Although the inclusion of cerebral perfusion pressure (CPP) is a standard feature in static testing of autoregulation after head injury, controversy surrounds the use of CPP versus arterial blood pressure (ABP) in dynamic tests. The aim of our project was to assess the discrepancies between methods of dynamic autoregulation testing based on CPP or ABP, and study possible differences in their prognostic value.
METHOD: Intermittent recordings of intracranial pressure (ICP), ABP and middle cerebral artery blood flow velocity (FV) waveforms were made in 151 anaesthetised and ventilated adult head injured patients as part of their required care. Indices of dynamic autoregulation were calculated as a moving correlation coefficient of 60 samples (total time 3 min) of 6 s mean values of FV and ABP (Mxa) or FV and CPP (Mx). Values of Mx and Mxa were averaged over multiple recordings in each patient and correlated with outcome at 6 months post injury.
FINDINGS: Association between Mx and Mxa was moderately strong (r(2) = 0.73). However, limit of 95% accordance between both indices was +/-0.32. Mxa was significantly greater than Mx (0.22 +/- 0.22 versus 0.062 +/- 0.28; p < 0.000001). The difference between Mx and Mxa decreased with impairment of autoregulation (r = -0.39; p < 0.000001). Mean value of Mx showed a significant difference between dichotomized outcome groups (better autoregulation in patients with favourable than unfavourable outcome), while Mxa did not.
CONCLUSIONS: Although relatively similar in a large group of patients, the differences between these two methods of assessment of dynamic autoregulation may be considerable in individual cases. When ICP is monitored, CPP rather than ABP should be included in the calculation of the autoregulatory index.

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Year:  2007        PMID: 17476455     DOI: 10.1007/s00701-007-1160-y

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  12 in total

1.  Critical thresholds for transcranial Doppler indices of cerebral autoregulation in traumatic brain injury.

Authors:  Enrico Sorrentino; Karol P Budohoski; Magdalena Kasprowicz; Peter Smielewski; Basil Matta; John D Pickard; Marek Czosnyka
Journal:  Neurocrit Care       Date:  2011-04       Impact factor: 3.210

2.  Continuous cerebrovascular reactivity monitoring and autoregulation monitoring identify similar lower limits of autoregulation in patients undergoing cardiopulmonary bypass.

Authors:  R Blaine Easley; Kathleen K Kibler; Kenneth M Brady; Brijen Joshi; Masahiro Ono; Charles Brown; Charles W Hogue
Journal:  Neurol Res       Date:  2013-05       Impact factor: 2.448

Review 3.  Noninvasive autoregulation monitoring with and without intracranial pressure in the naive piglet brain.

Authors:  Ken M Brady; Jennifer O Mytar; Kathleen K Kibler; Charles W Hogue; Jennifer K Lee; Marek Czosnyka; Peter Smielewski; R Blaine Easley
Journal:  Anesth Analg       Date:  2010-06-02       Impact factor: 5.108

4.  Diagnostic and prognostic performance of Mxa and transfer function analysis-based dynamic cerebral autoregulation metrics.

Authors:  Markus Harboe Olsen; Christian Riberholt; Ronni R Plovsing; Ronan Mg Berg; Kirsten Møller
Journal:  J Cereb Blood Flow Metab       Date:  2022-08-25       Impact factor: 6.960

5.  Reliability and validity of the mean flow index (Mx) for assessing cerebral autoregulation in humans: A systematic review of the methodology.

Authors:  Markus Harboe Olsen; Christian Gunge Riberholt; Jesper Mehlsen; Ronan Mg Berg; Kirsten Møller
Journal:  J Cereb Blood Flow Metab       Date:  2021-10-07       Impact factor: 6.960

6.  Comparison of frequency and time domain methods of assessment of cerebral autoregulation in traumatic brain injury.

Authors:  Xiuyun Liu; Marek Czosnyka; Joseph Donnelly; Karol P Budohoski; Georgios V Varsos; Nathalie Nasr; Ken M Brady; Matthias Reinhard; Peter J Hutchinson; Peter Smielewski
Journal:  J Cereb Blood Flow Metab       Date:  2014-11-19       Impact factor: 6.200

7.  Association of transcranial Doppler blood flow velocity slow waves with delayed cerebral ischemia in patients suffering from subarachnoid hemorrhage: a retrospective study.

Authors:  Vasilios E Papaioannou; Karol P Budohoski; Michal M Placek; Zofia Czosnyka; Peter Smielewski; Marek Czosnyka
Journal:  Intensive Care Med Exp       Date:  2021-03-26

8.  Estimating intracranial pressure using pulsatile cerebral blood flow measured with diffuse correlation spectroscopy.

Authors:  Alexander Ruesch; Jason Yang; Samantha Schmitt; Deepshikha Acharya; Matthew A Smith; Jana M Kainerstorfer
Journal:  Biomed Opt Express       Date:  2020-02-19       Impact factor: 3.732

Review 9.  Monitoring of cerebrovascular autoregulation: facts, myths, and missing links.

Authors:  Marek Czosnyka; Ken Brady; Matthias Reinhard; Piotr Smielewski; Luzius A Steiner
Journal:  Neurocrit Care       Date:  2009-01-06       Impact factor: 3.210

Review 10.  Transcranial Doppler Based Cerebrovascular Reactivity Indices in Adult Traumatic Brain Injury: A Scoping Review of Associations With Patient Oriented Outcomes.

Authors:  Alwyn Gomez; Logan Froese; Amanjyot Singh Sainbhi; Carleen Batson; Frederick A Zeiler
Journal:  Front Pharmacol       Date:  2021-07-06       Impact factor: 5.810

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