Skip to main content

Advertisement

Log in

Association between cerebrovascular reactivity in adult traumatic brain injury and improvement in patient outcome over time: an exploratory analysis

  • Original Article - Brain trauma
  • Published:
Acta Neurochirurgica Aims and scope Submit manuscript

Abstract

Background

Impaired cerebrovascular reactivity following moderate/severe traumatic brain injury (TBI) has emerged as a key potential driver of morbidity and mortality. However, the major contributions to the literature so far have been solely focused on single point measures of long-term outcome. Therefore, it remains unknown whether cerebrovascular reactivity impairment, during the acute phase of TBI, is associated with failure to improve in outcome across time.

Methods

Cerebrovascular reactivity was measured using three intracranial pressure-based surrogate metrics. For each patient, % time spent above various literature-defined thresholds was calculated. Patients were dichotomized based on outcome transition into Improved vs Not Improved between 1 and 3 months, 3 and 6 months, and 1 and 6 months, based on the Glasgow Outcome Scale-Extended (GOSE). Univariate and multivariable logistic regression analyses were performed, adjusting for the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) variables.

Results

Seventy-eight patients from the Winnipeg Acute TBI Database were included in this study. On univariate logistic regression analysis, higher % time with cerebrovascular reactivity metrics above clinically defined thresholds was associated with a lack of clinical improvement between 1 and 3 months and 1 and 6 months post injury (p < 0.05). These relationships held true on multivariable logistic regression analysis.

Conclusion

Our study demonstrates that impaired cerebrovascular reactivity, during the acute phase of TBI, is associated with failure to improve clinically over time. These preliminary findings highlight the significance that cerebrovascular reactivity monitoring carries in outcome recovery association in moderate/severe TBI.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Adams H, Donnelly J, Czosnyka M, Kolias AG, Helmy A, Menon DK, Smielewski P, Hutchinson PJ (2017) Temporal profile of intracranial pressure and cerebrovascular reactivity in severe traumatic brain injury and association with fatal outcome: an observational study. PLoS Med 14(7):e1002353

    Article  PubMed  PubMed Central  Google Scholar 

  2. Aries MJH, Czosnyka M, Budohoski KP, Kolias AG, Radolovich DK, Lavinio A, Pickard JD, Smielewski P (2012) Continuous monitoring of cerebrovascular reactivity using pulse waveform of intracranial pressure. Neurocrit Care 17(1):67–76

    Article  PubMed  Google Scholar 

  3. Armstead WM (2016) Cerebral blood flow autoregulation and dysautoregulation. Anesthesiol Clin 34(3):465–477

    Article  PubMed  PubMed Central  Google Scholar 

  4. Batson C, Froese L, Gomez A, Sainbhi AS, Stein KY, Alizadeh A, Zeiler FA (2021) Impact of age and biological sex on cerebrovascular reactivity in adult moderate/severe traumatic brain injury: an exploratory analysis. Neurotrauma Reports 2(1):488–501

    Article  PubMed  PubMed Central  Google Scholar 

  5. Batson C, Gomez A, Sainbhi AS, Froese L, Zeiler FA (2021) Association of age and sex with multi-modal cerebral physiology in adult moderate/severe traumatic brain injury: a narrative overview and future avenues for personalized approaches. Front Pharmacol 12:676154

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  6. Batson C, Stein KY, Gomez A, Sainbhi AS, Froese L, Alizadeh A, Mathieu F, Zeiler FA (2022) Intracranial pressure–derived cerebrovascular reactivity indices, chronological age, and biological sex in traumatic brain injury: a scoping review. Neurotrauma Rep 3(1):44–56

    Article  PubMed  PubMed Central  Google Scholar 

  7. Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Roy Stat Soc: Ser B (Methodol) 57(1):289–300

    Google Scholar 

  8. Bennis FC, Teeuwen B, Zeiler FA, Elting JW, van der Naalt J, Bonizzi P, Delhaas T, Aries MJ (2020) Improving prediction of favourable outcome after 6 months in patients with severe traumatic brain injury using physiological cerebral parameters in a multivariable logistic regression model. Neurocrit Care 33(2):542–551

    Article  PubMed  PubMed Central  Google Scholar 

  9. Bernard F, Gallagher C, Griesdale D, Kramer A, Sekhon M, Zeiler FA (2020) The Canadian high-resolution traumatic brain injury (CAHR-TBI) research collaborative. Can J Neurol Sci 47(4):551–556

    Article  PubMed  Google Scholar 

  10. Cabella B, Donnelly J, Cardim D, Liu X, Cabeleira M, Smielewski P, Haubrich C, Hutchinson PJA, Czosnyka M, Kim D-J (2017) An association between ICP-derived data and outcome in TBI patients: the role of sample size. Neurocrit Care 27(1):103–107

    Article  PubMed  Google Scholar 

  11. Calviello LA, Czigler A, Zeiler FA, Smielewski P, Czosnyka M (2020) Validation of non-invasive cerebrovascular pressure reactivity and pulse amplitude reactivity indices in traumatic brain injury. Acta Neurochir (Wien) 162(2):337–344

    Article  PubMed  Google Scholar 

  12. Calviello L, Donnelly J, Cardim D, Robba C, Zeiler FA, Smielewski P, Czosnyka M (2018) Compensatory-reserve-weighted intracranial pressure and its association with outcome after traumatic brain injury. Neurocrit Care 28(2):212–220

    Article  PubMed  CAS  Google Scholar 

  13. Carney N, Totten AM, O’Reilly C et al (2017) Guidelines for the management of severe traumatic brain injury. Fourth Edition Neurosurgery 80(1):6–15

    Article  PubMed  Google Scholar 

  14. Czosnyka M, Balestreri M, Steiner L, Smielewski P, Hutchinson PJ, Matta B, Pickard JD (2005) Age, intracranial pressure, autoregulation, and outcome after brain trauma. J Neurosurg 102(3):450–454

    Article  PubMed  Google Scholar 

  15. Czosnyka M, Smielewski P, Kirkpatrick P, Laing RJ, Menon D, Pickard JD (1997) Continuous assessment of the cerebral vasomotor reactivity in head injury. Neurosurgery 41(1):11–17; discussion 17–19

  16. Czosnyka M, Smielewski P, Kirkpatrick P, Piechnik S, Laing R, Pickard JD (1998) Continuous monitoring of cerebrovascular pressure-reactivity in head injury. Acta Neurochir Suppl 71:74–77

    PubMed  CAS  Google Scholar 

  17. Dewan MC, Rattani A, Gupta S et al (2019) Estimating the global incidence of traumatic brain injury. J Neurosurg 130(4):1080–1097

    Article  Google Scholar 

  18. Donnelly J, Czosnyka M, Adams H et al (2019) Twenty-five years of intracranial pressure monitoring after severe traumatic brain injury: a retrospective, single-center analysis. Neurosurgery 85(1):E75–E82

    Article  PubMed  Google Scholar 

  19. Fog M (1938) The relationship between the blood pressure and the tonic regulation of the pial arteries. J Neurol Psychiatry 1(3):187–197

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  20. Fraser CD, Brady KM, Rhee CJ, Easley RB, Kibler K, Smielewski P, Czosnyka M, Kaczka DW, Andropoulos DB, Rusin C (2013) The frequency response of cerebral autoregulation. J Appl Physiol 115(1):52–56

    Article  PubMed  Google Scholar 

  21. Froese L, Dian J, Batson C, Gomez A, Alarifi N, Unger B, Zeiler FA (2020) The impact of vasopressor and sedative agents on cerebrovascular reactivity and compensatory reserve in traumatic brain injury: an exploratory analysis. Neurotrauma Rep 1(1):157–168

    Article  PubMed  PubMed Central  Google Scholar 

  22. Froese L, Dian J, Batson C, Gomez A, Unger B, Zeiler FA (2020) The impact of hypertonic saline on cerebrovascular reactivity and compensatory reserve in traumatic brain injury: an exploratory analysis. Acta Neurochir (Wien) 162(11):2683–2693

    Article  PubMed  Google Scholar 

  23. Froese L, Dian J, Gomez A, Zeiler FA (2021) Sedation and cerebrovascular reactivity in traumatic brain injury: another potential avenue for personalized approaches in neurocritical care? Acta Neurochir 163(5):1383–1389

    Article  PubMed  CAS  Google Scholar 

  24. Glickman ME, Rao SR, Schultz MR (2014) False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies. J Clin Epidemiol 67(8):850–857

    Article  PubMed  Google Scholar 

  25. Gomez A, Dian J, Froese L, Zeiler FA (2020) Near-infrared cerebrovascular reactivity for monitoring cerebral autoregulation and predicting outcomes in moderate to severe traumatic brain injury: proposal for a pilot observational study. JMIR Res Protoc 9(8):e18740

    Article  PubMed  PubMed Central  Google Scholar 

  26. Gomez A, Dian J, Zeiler F (2021) Continuous and entirely non-invasive method for cerebrovascular reactivity assessment: technique and implications. J Clin Monit Comput 35(2):307–315

    Article  PubMed  CAS  Google Scholar 

  27. Hasen M, Gomez A, Froese L, Dian J, Raj R, Thelin EP, Zeiler FA (2020) Alternative continuous intracranial pressure-derived cerebrovascular reactivity metrics in traumatic brain injury: a scoping overview. Acta Neurochir 162(7):1647–1662

    Article  PubMed  Google Scholar 

  28. Hawryluk GWJ, Aguilera S, Buki A et al (2019) A management algorithm for patients with intracranial pressure monitoring: the Seattle International Severe Traumatic Brain Injury Consensus Conference (SIBICC). Intensive Care Med 45(12):1783–1794

    Article  PubMed  PubMed Central  Google Scholar 

  29. Howells T, Johnson U, McKelvey T, Enblad P (2015) An optimal frequency range for assessing the pressure reactivity index in patients with traumatic brain injury. J Clin Monit Comput 29(1):97–105

    Article  PubMed  Google Scholar 

  30. Jafari M, Ansari-Pour N (2019) Why, when and how to adjust your P values? Cell J. https://doi.org/10.22074/cellj.2019.5992

    Article  PubMed  Google Scholar 

  31. Jennett B (1975) Assessment of outcome after severe brain injury. The Lancet 305(7905):480–484

    Article  Google Scholar 

  32. Lang EW (2002) Continuous monitoring of cerebrovascular autoregulation: a validation study. J Neurol Neurosurg Psychiatry 72(5):583–586

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  33. Lassen NA (1959) Cerebral blood flow and oxygen consumption in man. Physiol Rev 39(2):183–238

    Article  PubMed  CAS  Google Scholar 

  34. Maas AIR, Marmarou A, Murray GD, Teasdale SGM, Steyerberg EW (2007) Prognosis and clinical trial design in traumatic brain injury: the IMPACT study. J Neurotrauma 24(2):232–238

    Article  PubMed  Google Scholar 

  35. Maas AIR, Menon DK, Adelson PD et al (2017) Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. The Lancet Neurology 16(12):987–1048

    Article  PubMed  Google Scholar 

  36. Rosenfeld JV, Maas AI, Bragge P, Morganti-Kossmann MC, Manley GT, Gruen RL (2012) Early management of severe traumatic brain injury. The Lancet 380(9847):1088–1098

    Article  Google Scholar 

  37. Sorrentino E, Diedler J, Kasprowicz M et al (2012) Critical thresholds for cerebrovascular reactivity after traumatic brain injury. Neurocrit Care 16(2):258–266

    Article  PubMed  CAS  Google Scholar 

  38. Steyerberg EW, Mushkudiani N, Perel P et al (2008) Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med 5(8):e165

    Article  PubMed  PubMed Central  Google Scholar 

  39. Thelin EP, Tajsic T, Zeiler FA, Menon DK, Hutchinson PJA, Carpenter KLH, Morganti-Kossmann MC, Helmy A (2017) Monitoring the neuroinflammatory response following acute brain injury. Front Neurol 8:351

    Article  PubMed  PubMed Central  Google Scholar 

  40. Toth P, Szarka N, Farkas E, Ezer E, Czeiter E, Amrein K, Ungvari Z, Hartings JA, Buki A, Koller A (2016) Traumatic brain injury-induced autoregulatory dysfunction and spreading depression-related neurovascular uncoupling: pathomechanisms, perspectives, and therapeutic implications. American Journal of Physiology-Heart and Circulatory Physiology 311(5):H1118–H1131

    Article  PubMed  PubMed Central  Google Scholar 

  41. Zeiler FA, Donnelly J, Calviello L, Smielewski P, Menon DK, Czosnyka M (2017) Pressure autoregulation measurement techniques in adult traumatic brain injury, Part II: a scoping review of continuous methods. J Neurotrauma 34(23):3224–3237

    Article  PubMed  Google Scholar 

  42. Zeiler FA, Donnelly J, Menon DK, Smielewski P, Hutchinson PJA, Czosnyka M (2018) A description of a new continuous physiological index in traumatic brain injury using the correlation between pulse amplitude of intracranial pressure and cerebral perfusion pressure. J Neurotrauma 35(7):963–974

    Article  PubMed  Google Scholar 

  43. Zeiler FA, Donnelly J, Smielewski P, Menon DK, Hutchinson PJ, Czosnyka M (2018) Critical thresholds of intracranial pressure-derived continuous cerebrovascular reactivity indices for outcome prediction in noncraniectomized patients with traumatic brain injury. J Neurotrauma 35(10):1107–1115

    Article  PubMed  Google Scholar 

  44. Zeiler FA, Ercole A, Beqiri E et al (2020) Association between cerebrovascular reactivity monitoring and mortality is preserved when adjusting for baseline admission characteristics in adult traumatic brain injury: a CENTER-TBI study. J Neurotrauma 37(10):1233–1241

    Article  PubMed  PubMed Central  Google Scholar 

  45. Zeiler FA, Ercole A, Cabeleira M et al (2019) Comparison of performance of different optimal cerebral perfusion pressure parameters for outcome prediction in adult traumatic brain injury: a Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. J Neurotrauma 36(10):1505–1517

    Article  PubMed  Google Scholar 

  46. Zeiler FA, Ercole A, Cabeleira M, Beqiri E, Zoerle T, Carbonara M, Stocchetti N, Menon DK, Smielewski P, Czosnyka M (2019) Compensatory-reserve-weighted intracranial pressure versus intracranial pressure for outcome association in adult traumatic brain injury: a CENTER-TBI validation study. Acta Neurochir (Wien) 161(7):1275–1284

    Article  PubMed  Google Scholar 

  47. Zeiler FA, Ercole A, Cabeleira M, Zoerle T, Stocchetti N, Menon DK, Smielewski P, Czosnyka M (2019) Univariate comparison of performance of different cerebrovascular reactivity indices for outcome association in adult TBI: a CENTER-TBI study. Acta Neurochir (Wien) 161(6):1217–1227

    Article  PubMed  Google Scholar 

  48. Zeiler FA, Ercole A, Czosnyka M, Smielewski P, Hawryluk G, Hutchinson PJA, Menon DK, Aries M (2020) Continuous cerebrovascular reactivity monitoring in moderate/severe traumatic brain injury: a narrative review of advances in neurocritical care. Br J Anaesth 124(4):440–453

    Article  Google Scholar 

  49. Zeiler FA, Lee JK, Smielewski P, Czosnyka M, Brady K (2018) Validation of intracranial pressure-derived cerebrovascular reactivity indices against the lower limit of autoregulation, Part II: experimental model of arterial hypotension. J Neurotrauma 35(23):2812–2819

    Article  PubMed  PubMed Central  Google Scholar 

  50. Zeiler FA, Thelin EP, Donnelly J, Stevens AR, Smielewski P, Czosnyka M, Hutchinson PJ, Menon DK (2019) Genetic drivers of cerebral blood flow dysfunction in TBI: a speculative synthesis. Nat Rev Neurol 15(1):25–39

    Article  PubMed  CAS  Google Scholar 

  51. Zeiler FA, Unger B, West M, Kazina CJ, Berrington N, Ellis MJ (2018) Manitoba cranial neurotrauma research: past, present, and future. J Neurotrauma 35:1999–2001

    Google Scholar 

  52. Zweifel C, Lavinio A, Steiner LA et al (2008) Continuous monitoring of cerebrovascular pressure reactivity in patients with head injury. Neurosurg Focus 25(4):E2

    Article  PubMed  Google Scholar 

Download references

Funding

KYS is supported through the University of Manitoba BSc in Medicine program and a Richard Hoeschen Memorial Award. LF is supported through the University of Manitoba—Department of Surgery GFT Research Grant, the University of Manitoba Office of Research Services (ORS)—University Research Grant Program (URGP), the University of Manitoba Biomedical Engineering Fellowship Program, and the Edward R. Toporeck Graduate Fellowship in Engineering. AG is supported through the University of Manitoba Clinician Investigator Program, the University of Manitoba Dean’s Fellowship, the Manitoba Medical Services Foundation Research and Education Fellowship, and the R. Samuel McLaughlin Research Fellowship. ASS is supported through the UMGSA Scholarship at the University of Manitoba, NSERC (RGPIN-2022–03621), and the University of Manitoba Graduate Enhancement of Tri-Agency Stipend (GETS) program. CB is supported through the Centre on Aging at the University of Manitoba. FAZ receives research support from the Manitoba Public Insurance (MPI) Professorship in Neuroscience, the MPI TBI Research Operating Fund, the Health Sciences Centre Foundation Winnipeg, the Natural Sciences and Engineering Research Council of Canada (NSERC) (RGPIN-2022–03621, ALLRP-576386-22, and DGECR-2022–00260), the Canada Foundation for Innovation (CFI) (Project #: 38583), Research Manitoba (Grant #: 3906), and the University of Manitoba VPRI Research Investment Fund (RIF).

Author information

Authors and Affiliations

Authors

Contributions

KYS was involved in data acquisition, data interpretation, formal data analysis, and manuscript preparation. LF was involved in data acquisition, data interpretation, formal data analysis, and manuscript preparation. AG was involved in data acquisition, data interpretation, and manuscript preparation. ASS was involved in data acquisition, data interpretation, and manuscript preparation. CB was involved in data acquisition, data interpretation, and manuscript preparation. FM was involved in data acquisition, data interpretation, and manuscript preparation. FAZ was involved in conceptualization, data acquisition, data interpretation, formal data analysis, manuscript preparation, and general supervision.

Corresponding author

Correspondence to Kevin Y. Stein.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

Ethics approval pertaining to all aspects of data collection for the prospectively maintained Winnipeg Acute TBI Database has been obtained from the University of Manitoba Health Research Ethics Board (H2017:181, H2017:188). Approval to retrospectively access this database for physiologic/outcome analysis was also granted (H2020:118). This study was performed in accordance with the ethical standards outlined in the 1964 Declaration of Helsinki and its later amendments. Given that all data is collected in an entirely de-identified fashion (with no means to trace data back to an individual patient), collection of this data has been approved through a waived consent model by the research ethics board and provincial patient privacy offices of Manitoba.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Brain trauma

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 108 KB)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Stein, K.Y., Froese, L., Gomez, A. et al. Association between cerebrovascular reactivity in adult traumatic brain injury and improvement in patient outcome over time: an exploratory analysis. Acta Neurochir 164, 3107–3118 (2022). https://doi.org/10.1007/s00701-022-05366-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00701-022-05366-9

Keywords

Navigation