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Published in: Neurocritical Care 1/2019

01-02-2019 | Original Article

Continuous Assessment of “Optimal” Cerebral Perfusion Pressure in Traumatic Brain Injury: A Cohort Study of Feasibility, Reliability, and Relation to Outcome

Authors: Andreas H. Kramer, Philippe L. Couillard, David A. Zygun, Marcel J. Aries, Clare N. Gallagher

Published in: Neurocritical Care | Issue 1/2019

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Abstract

Background

Guidelines recommend maintaining cerebral perfusion pressure (CPP) between 60 and 70 mmHg in patients with severe traumatic brain injury (TBI), but acknowledge that optimal CPP may vary depending on cerebral blood flow autoregulation. Previous retrospective studies suggest that targeting CPP where the pressure reactivity index (PRx) is optimized (CPPopt) may be associated with improved recovery.

Methods

We performed a retrospective cohort study involving TBI patients who underwent PRx monitoring to assess issues of feasibility relevant to future interventional studies: (1) the proportion of time that CPPopt could be detected; (2) inter-observer variability in CPPopt determination; and (3) agreement between manual and automated CPPopt estimates. CPPopt was determined for consecutive 6-h epochs during the first week following TBI. Sixty PRx-CPP tracings were randomly selected and independently reviewed by six critical care professionals. We also assessed whether greater deviation between actual CPP and CPPopt (ΔCPP) was associated with poor outcomes using multivariable models.

Results

In 71 patients, CPPopt could be manually determined in 985 of 1173 (84%) epochs. Inter-observer agreement for detectability was moderate (kappa 0.46, 0.23–0.68). In cases where there was consensus that it could be determined, agreement for the specific CPPopt value was excellent (weighted kappa 0.96, 0.91–1.00). Automated CPPopt was within 5 mmHg of manually determined CPPopt in 93% of epochs. Lower PRx was predictive of better recovery, but there was no association between ΔCPP and outcome. Percentage time spent below CPPopt increased over time among patients with poor outcomes (p = 0.03). This effect was magnified in patients with impaired autoregulation (defined as PRx > 0.2; p = 0.003).

Conclusion

Prospective interventional clinical trials with regular determination of CPPopt and corresponding adjustment of CPP goals are feasible, but measures to maximize consistency in CPPopt determination are necessary. Although we could not confirm a clear association between ΔCPP and outcome, time spent below CPPopt may be particularly harmful, especially when autoregulation is impaired.
Literature
1.
go back to reference Chesnut RM, Marshall LF, Klauber MR, et al. The role of secondary brain injury in determining outcome from severe head injury. J Trauma. 1993;34:216–22.CrossRefPubMed Chesnut RM, Marshall LF, Klauber MR, et al. The role of secondary brain injury in determining outcome from severe head injury. J Trauma. 1993;34:216–22.CrossRefPubMed
2.
go back to reference Manley G, Knudson MM, Morabito D, et al. Hypotension, hypoxia, and head injury: frequency, duration, and consequences. Arch Surg. 2001;136:1118–23.CrossRefPubMed Manley G, Knudson MM, Morabito D, et al. Hypotension, hypoxia, and head injury: frequency, duration, and consequences. Arch Surg. 2001;136:1118–23.CrossRefPubMed
3.
go back to reference McHugh GH, Engel DC, Butcher I, et al. Prognostic value of secondary insults in traumatic brain injury: results from the IMPACT study. J Neurotrauma. 2007;24:287–93.CrossRefPubMed McHugh GH, Engel DC, Butcher I, et al. Prognostic value of secondary insults in traumatic brain injury: results from the IMPACT study. J Neurotrauma. 2007;24:287–93.CrossRefPubMed
4.
go back to reference Changaris DG, McGraw CP, Richardson JD, et al. Correlation of cerebral perfusion pressure and Glasgow Outcome Scale to outcome. J Trauma. 1987;27:1007–13.CrossRefPubMed Changaris DG, McGraw CP, Richardson JD, et al. Correlation of cerebral perfusion pressure and Glasgow Outcome Scale to outcome. J Trauma. 1987;27:1007–13.CrossRefPubMed
5.
go back to reference Juul N, Morris GF, Marshall SB, Marshall LF. Intracranial hypertension and cerebral perfusion pressure: influence on neurological deterioration and outcome in severe head injury. J Neurosurg. 2000;92:1–6.CrossRefPubMed Juul N, Morris GF, Marshall SB, Marshall LF. Intracranial hypertension and cerebral perfusion pressure: influence on neurological deterioration and outcome in severe head injury. J Neurosurg. 2000;92:1–6.CrossRefPubMed
6.
go back to reference Clifton GL, Miller ER, Choi SC, Levein HS. Fluid thresholds and outcome from severe brain injury. Crit Care Med. 2002;30:739–45.CrossRefPubMed Clifton GL, Miller ER, Choi SC, Levein HS. Fluid thresholds and outcome from severe brain injury. Crit Care Med. 2002;30:739–45.CrossRefPubMed
7.
go back to reference Elf K, Nilsson P, Ronne-Engstrom E, et al. Cerebral perfusion pressure between 50 and 60 mmHg may be beneficial in head-injured patients: a computerized secondary insult monitoring study. Neurosurgery. 2005;56:962–71.PubMed Elf K, Nilsson P, Ronne-Engstrom E, et al. Cerebral perfusion pressure between 50 and 60 mmHg may be beneficial in head-injured patients: a computerized secondary insult monitoring study. Neurosurgery. 2005;56:962–71.PubMed
8.
go back to reference Johnson U, Nilsson P, Ronne-Engstrom E, et al. Favorable outcome in traumatic brain injury patients with impaired cerebral perfusion pressure autoregulation when treated at low cerebral perfusion pressure levels. Neurosurgery. 2011;68:714–21.CrossRefPubMed Johnson U, Nilsson P, Ronne-Engstrom E, et al. Favorable outcome in traumatic brain injury patients with impaired cerebral perfusion pressure autoregulation when treated at low cerebral perfusion pressure levels. Neurosurgery. 2011;68:714–21.CrossRefPubMed
9.
go back to reference Balestreri M, Czosnyka M, Hutchinson P, et al. Impact of intracranial pressure and cerebral perfusion pressure on severe disability and mortality after head injury. Neurocrit Care. 2006;4:8–13.CrossRefPubMed Balestreri M, Czosnyka M, Hutchinson P, et al. Impact of intracranial pressure and cerebral perfusion pressure on severe disability and mortality after head injury. Neurocrit Care. 2006;4:8–13.CrossRefPubMed
11.
go back to reference Czosnyka M, Smielewski P, Kirkpatrick P, et al. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery. 1997;41:11–7.CrossRefPubMed Czosnyka M, Smielewski P, Kirkpatrick P, et al. Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery. 1997;41:11–7.CrossRefPubMed
12.
go back to reference Steiner LA, Coles JP, Johnston AJ, et al. Assessment of cerebrovascular autoregulation in head-injured patients: a validation study. Stroke. 2003;34:2404–9.CrossRefPubMed Steiner LA, Coles JP, Johnston AJ, et al. Assessment of cerebrovascular autoregulation in head-injured patients: a validation study. Stroke. 2003;34:2404–9.CrossRefPubMed
13.
go back to reference Brady KM, Lee JK, Kibler KK, et al. Continuous measurement of autoregulation by spontaneous fluctuations in cerebral perfusion pressure: comparison of 3 methods. Stroke. 2008;39:2531–7.CrossRefPubMedPubMedCentral Brady KM, Lee JK, Kibler KK, et al. Continuous measurement of autoregulation by spontaneous fluctuations in cerebral perfusion pressure: comparison of 3 methods. Stroke. 2008;39:2531–7.CrossRefPubMedPubMedCentral
14.
go back to reference Steiner LA, Czosnyka M, Piechnik SK, et al. Continuous monitoring of cerebrovascular pressure reactivity allows determination of optimal cerebral perfusion pressure in patients with traumatic brain injury. Crit Care Med. 2002;30:733–8.CrossRefPubMed Steiner LA, Czosnyka M, Piechnik SK, et al. Continuous monitoring of cerebrovascular pressure reactivity allows determination of optimal cerebral perfusion pressure in patients with traumatic brain injury. Crit Care Med. 2002;30:733–8.CrossRefPubMed
15.
go back to reference Sanchez-Porras R, Santos E, Czosnyka M, et al. ‘Long’ pressure reactivity index (L-PRx) as a measure of autoregulation correlates with outcome in traumatic brain injury patients. Acta Neurochir. 2012;154:1575–81.CrossRefPubMed Sanchez-Porras R, Santos E, Czosnyka M, et al. ‘Long’ pressure reactivity index (L-PRx) as a measure of autoregulation correlates with outcome in traumatic brain injury patients. Acta Neurochir. 2012;154:1575–81.CrossRefPubMed
16.
go back to reference Johnson U, Lewen A, Ronne-Engstrom E, et al. Should the neurointensive care management of traumatic brain injury patients be individualized according to autoregulation status and injury subtype? Neurocrit Care. 2014;21:259–65.CrossRefPubMed Johnson U, Lewen A, Ronne-Engstrom E, et al. Should the neurointensive care management of traumatic brain injury patients be individualized according to autoregulation status and injury subtype? Neurocrit Care. 2014;21:259–65.CrossRefPubMed
17.
go back to reference Dias C, Silva MJ, Pereira E, et al. Optimal cerebral perfusion pressure management at bedside: a single-center pilot study. Neurocrit Care. 2015;23:92–102.CrossRefPubMed Dias C, Silva MJ, Pereira E, et al. Optimal cerebral perfusion pressure management at bedside: a single-center pilot study. Neurocrit Care. 2015;23:92–102.CrossRefPubMed
18.
go back to reference Depretiere B, Guiza F, Van den Berghe G, et al. Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data. J Neurosurg. 2014;120:1451–7.CrossRef Depretiere B, Guiza F, Van den Berghe G, et al. Pressure autoregulation monitoring and cerebral perfusion pressure target recommendation in patients with severe traumatic brain injury based on minute-by-minute monitoring data. J Neurosurg. 2014;120:1451–7.CrossRef
19.
go back to reference Needham E, McFadyen C, Newcombe V, et al. Cerebral perfusion pressure targets individualized to pressure-reactivity index in moderate to severe traumatic brain injury: a systematic review. J Neurotrauma. 2016;33:1–8.CrossRef Needham E, McFadyen C, Newcombe V, et al. Cerebral perfusion pressure targets individualized to pressure-reactivity index in moderate to severe traumatic brain injury: a systematic review. J Neurotrauma. 2016;33:1–8.CrossRef
20.
go back to reference Steijn R, Stewart R, Czosnyka M, et al. Survey in expert clinicians on validity of automated calculation of optimal cerebral perfusion pressure. Minerva Anesthesiol 2017 (Epub ahead of print). Steijn R, Stewart R, Czosnyka M, et al. Survey in expert clinicians on validity of automated calculation of optimal cerebral perfusion pressure. Minerva Anesthesiol 2017 (Epub ahead of print).
21.
go back to reference Aries MJH, Czosnyka M, Budohoski KP, et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40:2456–63.CrossRefPubMed Aries MJH, Czosnyka M, Budohoski KP, et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40:2456–63.CrossRefPubMed
22.
go back to reference Brain Trauma Foundation. Guidelines for the management of severe traumatic brain injury. VIII. Intracranial pressure thresholds. J Neurotrauma. 2007;24:S55–8.CrossRef Brain Trauma Foundation. Guidelines for the management of severe traumatic brain injury. VIII. Intracranial pressure thresholds. J Neurotrauma. 2007;24:S55–8.CrossRef
23.
go back to reference Kramer AH, Deis N, Ruddell S, et al. Decompressive craniectomy in patients with traumatic brain injury: are the usual indications congruent with those evaluated in clinical trials? Neurocrit Care. 2016;25:109.CrossRef Kramer AH, Deis N, Ruddell S, et al. Decompressive craniectomy in patients with traumatic brain injury: are the usual indications congruent with those evaluated in clinical trials? Neurocrit Care. 2016;25:109.CrossRef
24.
go back to reference Liu X, Maurits NM, Aries MJH, et al. Monitoring of optimal cerebral perfusion pressure in traumatic brain injured patients using a multi-window weighting algorithm. J Neurotrauma. 2017;15:3081–8.CrossRef Liu X, Maurits NM, Aries MJH, et al. Monitoring of optimal cerebral perfusion pressure in traumatic brain injured patients using a multi-window weighting algorithm. J Neurotrauma. 2017;15:3081–8.CrossRef
25.
go back to reference Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psych Bull. 1968;70:213–20.CrossRef Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psych Bull. 1968;70:213–20.CrossRef
26.
go back to reference Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74.CrossRefPubMed Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159–74.CrossRefPubMed
27.
go back to reference Wilson JT, Pettigrew LE, Teasdale GM. Structure interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use. J Neurotrauma. 1998;15:573–85.CrossRefPubMed Wilson JT, Pettigrew LE, Teasdale GM. Structure interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use. J Neurotrauma. 1998;15:573–85.CrossRefPubMed
28.
go back to reference Murray GD, Butcher I, McHugh G, et al. Multivariable prognostic analysis in traumatic brain injury: results from the IMPACT study. J Neurotrauma. 2007;24:329–37.CrossRefPubMed Murray GD, Butcher I, McHugh G, et al. Multivariable prognostic analysis in traumatic brain injury: results from the IMPACT study. J Neurotrauma. 2007;24:329–37.CrossRefPubMed
29.
go back to reference Preiksatis A, Krakauskaite S, Petkus V, et al. Association of severe traumatic brain injury patient outcomes with duration of cerebrovascular autoregulation impairment events. Neurosurgery. 2016;79:75–82.CrossRef Preiksatis A, Krakauskaite S, Petkus V, et al. Association of severe traumatic brain injury patient outcomes with duration of cerebrovascular autoregulation impairment events. Neurosurgery. 2016;79:75–82.CrossRef
30.
go back to reference Robertson CS, Valadka AB, Hannay HJ, et al. Prevention of secondary ischemic insults after severe head injury. Crit Care Med. 1999;27:2086–95.CrossRefPubMed Robertson CS, Valadka AB, Hannay HJ, et al. Prevention of secondary ischemic insults after severe head injury. Crit Care Med. 1999;27:2086–95.CrossRefPubMed
31.
go back to reference Okonkwo DO, Shutter LA, Moore C, et al. Brain oxygen optimization in severe traumatic brain injury phase-II: a phase II randomized trial. Crit Care Med. 2017;45:1907–14.CrossRefPubMedPubMedCentral Okonkwo DO, Shutter LA, Moore C, et al. Brain oxygen optimization in severe traumatic brain injury phase-II: a phase II randomized trial. Crit Care Med. 2017;45:1907–14.CrossRefPubMedPubMedCentral
32.
go back to reference Thiara S, Griesdale DE, Henderson WR, Sekhon MS. Effect of cerebral perfusion pressure on acute respiratory distress syndrome. Can J Neurol Sci 2018; (Epub ahead of print). Thiara S, Griesdale DE, Henderson WR, Sekhon MS. Effect of cerebral perfusion pressure on acute respiratory distress syndrome. Can J Neurol Sci 2018; (Epub ahead of print).
33.
go back to reference Donnelly J, Czosnyka M, Adams H, et al. Individualizing thresholds of cerebral perfusion pressure using estimated limits of autoregulation. Crit Care Med. 2017;45:1464–71.CrossRefPubMedPubMedCentral Donnelly J, Czosnyka M, Adams H, et al. Individualizing thresholds of cerebral perfusion pressure using estimated limits of autoregulation. Crit Care Med. 2017;45:1464–71.CrossRefPubMedPubMedCentral
34.
go back to reference Lazaridis C, DeSantis SM, Smielewski P, et al. Patient-specific thresholds of intracranial pressure in severe traumatic brain injury. J Neurosurg. 2014;120:893–900.CrossRefPubMed Lazaridis C, DeSantis SM, Smielewski P, et al. Patient-specific thresholds of intracranial pressure in severe traumatic brain injury. J Neurosurg. 2014;120:893–900.CrossRefPubMed
35.
go back to reference Sorrentino E, Diedler J, Kasprowicz M, et al. Critical thresholds for cerebrovascular reactivity after traumatic brain injury. Neurocrit Care. 2012;16:258–66.CrossRefPubMed Sorrentino E, Diedler J, Kasprowicz M, et al. Critical thresholds for cerebrovascular reactivity after traumatic brain injury. Neurocrit Care. 2012;16:258–66.CrossRefPubMed
36.
go back to reference Zeiler FA, Donnelly J, Smielewski P, et al. Critical thresholds of ICP derived continuous cerebrovascular reactivity indices for outcome prediction in non-craniectomized TBI patients: PRx, PAx and RAC. J Neurotrauma 2017 (Epub ahead of print). Zeiler FA, Donnelly J, Smielewski P, et al. Critical thresholds of ICP derived continuous cerebrovascular reactivity indices for outcome prediction in non-craniectomized TBI patients: PRx, PAx and RAC. J Neurotrauma 2017 (Epub ahead of print).
37.
go back to reference Pesek M, Kibler K, Easley RB, et al. The upper limit of cerebral blood flow autoregulation is decreased with elevations in intracranial pressure. Neurosurgery. 2014;75:163–70.CrossRefPubMed Pesek M, Kibler K, Easley RB, et al. The upper limit of cerebral blood flow autoregulation is decreased with elevations in intracranial pressure. Neurosurgery. 2014;75:163–70.CrossRefPubMed
Metadata
Title
Continuous Assessment of “Optimal” Cerebral Perfusion Pressure in Traumatic Brain Injury: A Cohort Study of Feasibility, Reliability, and Relation to Outcome
Authors
Andreas H. Kramer
Philippe L. Couillard
David A. Zygun
Marcel J. Aries
Clare N. Gallagher
Publication date
01-02-2019
Publisher
Springer US
Published in
Neurocritical Care / Issue 1/2019
Print ISSN: 1541-6933
Electronic ISSN: 1556-0961
DOI
https://doi.org/10.1007/s12028-018-0570-4

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