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Optimal bispectral index exists in healthy patients undergoing general anesthesia: A validation study

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Abstract

Purpose

Continuous cerebrovascular reactivity monitoring in both neurocritical and intra-operative care has gained extensive interest in recent years, as it has documented associations with long-term outcomes (in neurocritical care populations) and cognitive outcomes (in operative cohorts). This has sparked further interest into the exploration and evaluation of methods to achieve an optimal cerebrovascular reactivity measure, where the individual patient is exposed to the lowest insult burden of impaired cerebrovascular reactivity. Recent literature has documented, in neural injury populations, the presence of a potential optimal sedation level in neurocritical care, based on the relationship between cerebrovascular reactivity and quantitative depth of sedation (using bispectral index (BIS)) – termed BISopt. The presence of this measure outside of neural injury patients has yet to be proven.

Methods

We explore the relationship between BIS and continuous cerebrovascular reactivity in two cohorts: (A) healthy population undergoing elective spinal surgery under general anesthesia, and (B) healthy volunteer cohort of awake controls.

Results

We demonstrate the presence of BISopt in the general anesthesia population (96% of patients), and its absence in awake controls, providing preliminary validation of its existence outside of neural injury populations. Furthermore, we found BIS to be sufficiently separate from overall systemic blood pressure, this indicates that they impact different pathophysiological phenomena to mediate cerebrovascular reactivity.

Conclusions

Findings here carry implications for the adaptation of the individualized physiologic BISopt concept to non-neural injury populations, both within critical care and the operative theater. However, this work is currently exploratory, and future work is required.

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References

  1. Donnelly J, Czosnyka M, Adams H, Cardim D, Kolias AG, Zeiler FA, et al. Twenty-five years of intracranial pressure monitoring after severe traumatic brain Injury: a retrospective, single-center analysis. Neurosurgery. 2019;85:E75–82.

    Article  PubMed  Google Scholar 

  2. Depreitere B, Güiza F, Van den Berghe G, Schuhmann MU, Maier G, Piper I, 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.

    Article  PubMed  Google Scholar 

  3. Zeiler FA, Donnelly J, Menon DK, Smielewski P, Zweifel C, Brady K, et al. Continuous autoregulatory indices derived from multi-modal monitoring: each one is not like the other. J Neurotrauma. 2017;34:3070–80.

    Article  PubMed  Google Scholar 

  4. Laurikkala J, Aneman A, Peng A, Reinikainen M, Pham P, Jakkula P, et al. Association of deranged cerebrovascular reactivity with brain injury following cardiac arrest: a post-hoc analysis of the COMACARE trial. Crit Care. 2021;25:350.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Budohoski KP, Czosnyka M, de Riva N, Smielewski P, Pickard JD, Menon DK, et al. The relationship between cerebral blood Flow Autoregulation and Cerebrovascular pressure reactivity after traumatic brain Injury. Neurosurgery. 2012;71:652–61.

    Article  PubMed  Google Scholar 

  6. Depreitere B, Citerio G, Smith M, Adelson PD, Aries MJ, Bleck TP et al. Cerebrovascular Autoregulation Monitoring in the Management of Adult Severe Traumatic Brain Injury: A Delphi Consensus of Clinicians. Neurocrit Care. 2021.

  7. Sorrentino E, Diedler J, Kasprowicz M, Budohoski KP, Haubrich C, Smielewski P, et al. Critical thresholds for cerebrovascular reactivity after traumatic brain Injury. Neurocrit Care. 2012;16:258–66.

    Article  CAS  PubMed  Google Scholar 

  8. Stein KY, Froese L, Gomez A, Sainbhi AS, Batson C, Mathieu F, et al. Association between cerebrovascular reactivity in adult traumatic brain injury and improvement in patient outcome over time: an exploratory analysis. Acta Neurochir (Wien). 2022;164:3107–18.

    Article  PubMed  Google Scholar 

  9. Zeiler FA, Ercole A, Beqiri E, Cabeleira M, Aries M, Zoerle T, et al. Cerebrovascular reactivity is not associated with therapeutic intensity in adult traumatic brain injury: a CENTER-TBI analysis. Acta Neurochir. 2019;161:1955–64.

    Article  PubMed  Google Scholar 

  10. Zeiler FA, Ercole A, Beqiri E, Cabeleira M, Thelin EP, Stocchetti N et al. Association between Cerebrovascular Reactivity Monitoring and Mortality Is Preserved When Adjusting for Baseline Admission Characteristics in Adult Traumatic Brain Injury: A CENTER-TBI Study. Journal of Neurotrauma [Internet]. 2019 [cited 2020 Jan 10]; Available from: http://www.liebertpub.com/doi/abs/https://doi.org/10.1089/neu.2019.6808.

  11. Gomez A, Froese L, Sainbhi AS, Batson C, Zeiler FA. Transcranial Doppler based Cerebrovascular Reactivity indices in Adult Traumatic Brain Injury: A Scoping Review of associations with patient oriented outcomes. Front Pharmacol. 2021;12:1720.

    Article  Google Scholar 

  12. Hori D, Nomura Y, Ono M, Joshi B, Mandal K, Cameron D, et al. Optimal blood pressure during cardiopulmonary bypass defined by cerebral autoregulation monitoring. J Thorac Cardiovasc Surg. 2017;154:1590–1598e2.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Joshi B, Brady K, Lee J, Easley B, Panigrahi R, Smielewski P, et al. Impaired autoregulation of cerebral blood Flow during Rewarming from Hypothermic Cardiopulmonary Bypass and its potential association with stroke. Anesth Analg. 2010;110:321–8.

    Article  PubMed  Google Scholar 

  14. Zeiler FA, Ercole A, Cabeleira M, Carbonara M, Stocchetti N, Menon DK, et al. 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. 2019;36:1505–17.

    Article  PubMed  Google Scholar 

  15. Aries MJ, Czosnyka M, Budohoski K, Steiner L, Lavinio A, Kolias A, et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury*. Crit Care Med. 2012;40:2456–63.

    Article  PubMed  Google Scholar 

  16. Malhotra AK, Schweitzer JB, Fox JL, Fabian TC, Proctor KG. Cerebral perfusion pressure directed therapy following traumatic brain injury and hypotension in swine. J Neurotrauma. 2003;20:827–39.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  18. Froese L, Gomez A, Sainbhi AS, Batson C, Stein K, Alizadeh A, et al. Continuous determination of the optimal Bispectral Index Value based on cerebrovascular reactivity in Moderate/Severe traumatic brain Injury: a Retrospective Observational Cohort Study of a Novel Individualized Sedation Target. Crit Care Explor. 2022;4:e0656.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Froese L, Gomez A, Sainbhi AS, Batson C, Slack T, Stein KY, et al. Optimal bispectral index level of sedation and cerebral oximetry in traumatic brain injury: a non-invasive individualized approach in critical care? Intensive Care Med Experimental. 2022;10:33.

    Article  Google Scholar 

  20. Tas J, Beqiri E, van Kaam RC, Czosnyka M, Donnelly J, Haeren RH, et al. Targeting autoregulation-guided cerebral perfusion pressure after traumatic Brain Injury (COGiTATE): a feasibility randomized controlled clinical trial. J Neurotrauma. 2021;38:2790–800.

    Article  PubMed  Google Scholar 

  21. Lassen NA. AUTOREGULATION OF CEREBRAL BLOOD FLOW. Circ Res. 1964;15:UPPL201–204.

    Google Scholar 

  22. Rikhraj KJK, Wood MD, Hoiland RL, Thiara S, Griesdale DEG, Sekhon MS. Determining Optimal Mean arterial pressure after Cardiac arrest: a systematic review. Neurocrit Care. 2021;34:621–34.

    Article  PubMed  Google Scholar 

  23. Easley RB, Kibler KK, Brady KM, Joshi B, Ono M, Brown C, et al. Continuous cerebrovascular reactivity monitoring and autoregulation monitoring identify similar lower limits of autoregulation in patients undergoing cardiopulmonary bypass. Neurol Res. 2013;35:344–54.

    Article  PubMed Central  Google Scholar 

  24. Froese L, Dian J, Gomez A, Batson C, Sainbhi AS, Zeiler FA. Association between Processed Electroencephalogram-based objectively measured depth of Sedation and Cerebrovascular Response: a systematic scoping overview of the Human and Animal Literature. Front Neurol. 2021;12:1409.

    Article  Google Scholar 

  25. Nagaraj SB, McClain LM, Boyle EJ, Zhou DW, Ramaswamy SM, Biswal S, et al. Electroencephalogram based detection of deep sedation in ICU patients using atomic decomposition. IEEE Trans Biomed Eng. 2018;65:2684–91.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Rasulo FA, Hopkins P, Lobo FA, Pandin P, Matta B, Carozzi C, et al. Processed Electroencephalogram-based monitoring to Guide Sedation in critically ill adult patients: recommendations from an International Expert Panel-based Consensus. Neurocrit Care. 2023;38:296–311.

    Article  PubMed  Google Scholar 

  27. Mathur S, Patel J, Goldstein S, Jain A. Bispectral Index. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2020 [cited 2020 Nov 7]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK539809/.

  28. Sleigh JW, Andrzejowski J, Steyn-Ross A, Steyn-Ross M. The Bispectral Index: a measure of depth of Sleep? Anesth Analgesia. 1999;88:659–61.

    Article  CAS  Google Scholar 

  29. Flower O, Hellings S. Sedation in Traumatic Brain Injury. Emerg Med Int [Internet]. 2012 [cited 2020 Sep 6];2012. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3461283/.

  30. Oddo M, Crippa IA, Mehta S, Menon D, Payen J-F, Taccone FS et al. Optimizing sedation in patients with acute brain injury. Crit Care [Internet]. 2016 [cited 2020 Jun 29];20. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4857238/.

  31. Froese L, Dian J, Batson C, Gomez A, Unger B, Zeiler FA. Cerebrovascular response to Propofol, Fentanyl, and midazolam in Moderate/Severe traumatic brain Injury: a scoping systematic review of the Human and Animal Literature. Neurotrauma Rep. 2020;1:100–12.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Folino TB, Muco E, Safadi AO, Parks LJ. Propofol. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023 [cited 2023 Nov 9]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK430884/.

  33. Paul AK, Smith CM, Rahmatullah M, Nissapatorn V, Wilairatana P, Spetea M, et al. Opioid Analgesia and Opioid-Induced adverse effects: a review. Pharmaceuticals. 2021;14:1091.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Slupe AM, Kirsch JR. Effects of anesthesia on cerebral blood flow, metabolism, and neuroprotection. J Cereb Blood Flow Metab. 2018;38:2192–208.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Silverman A, Petersen NH, Physiology. Cerebral Autoregulation. StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 [cited 2021 Dec 10]. Available from: http://www.ncbi.nlm.nih.gov/books/NBK553183/.

  36. Fierstra J, Sobczyk O, Battisti-Charbonney A, Mandell DM, Poublanc J, Crawley AP, et al. Measuring cerebrovascular reactivity: what stimulus to use? J Physiol. 2013;591:5809–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Gomez A, Dian J, Froese L, Zeiler FA. 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 Protocols. 2020;9:e18740.

    Article  Google Scholar 

  38. Gomez A, Sainbhi AS, Froese L, Batson C, Slack T, Stein KY et al. The quantitative associations between Near Infrared Spectroscopic Cerebrovascular Metrics and Cerebral Blood Flow: a scoping review of the Human and Animal Literature. Frontiers in Network Physiology. Pre-Print.

  39. Brady KM, Lee JK, Kibler KK, Smielewski P, Czosnyka M, Easley RB, et al. Continuous time-domain analysis of cerebrovascular autoregulation using near-infrared spectroscopy. Stroke. 2007;38:2818–25.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Sainbhi AS, Froese L, Gomez A, Batson C, Stein KY, Alizadeh A, et al. Continuous time-domain Cerebrovascular Reactivity Metrics and discriminate capacity for the Upper and Lower limits of Autoregulation: a scoping review of the animal literature. Neurotrauma Rep. 2021;2:639–59.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Hans P, Dewandre P-Y, Brichant JF, Bonhomme V. Comparative effects of ketamine on Bispectral Index and spectral entropy of the electroencephalogram under sevoflurane anaesthesia. Br J Anaesth. 2005;94:336–40.

    Article  CAS  PubMed  Google Scholar 

  42. Sengupta S, Ghosh S, Rudra A, Kumar P, Maitra G, Das T. Effect of ketamine on bispectral index during propofol–fentanyl anesthesia: a randomized controlled study. Middle East J Anaesthesiol. 2011;21:391–5.

    PubMed  Google Scholar 

  43. Roffey P, Mikhail M, Thangathurai D. Ketamine interferes with bispectral index monitoring in cardiac patients undergoing cardiopulmonary bypass. J Cardiothorac Vasc Anesth. 2000;14:494.

    Article  CAS  PubMed  Google Scholar 

  44. Jang H, Huang S, Hammer DX, Wang L, Rafi H, Ye M, et al. Alterations in neurovascular coupling following acute traumatic brain injury. Neurophotonics. 2017;4:045007.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Xing X, Gao Y, Wang H, Qu S, Huang C, Zhang H, et al. Effect of sedation on short-term and long-term outcomes of critically ill patients with acute respiratory insufficiency. World J Emerg Med. 2015;6:147–52.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Stephens RJ, Dettmer MR, Roberts BW, Ablordeppey E, Fowler SA, Kollef MH, et al. Practice patterns and outcomes associated with early sedation depth in mechanically ventilated patients: a systematic review and meta-analysis. Crit Care Med. 2018;46:471–9.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Zeiler FA, Ercole A, Czosnyka M, Smielewski P, Hawryluk G, Hutchinson PJA et al. Continuous cerebrovascular reactivity monitoring in moderate/severe traumatic brain injury: a narrative review of advances in neurocritical care. Br J Anaesth. 2020.

  48. Zeiler FA, Donnelly J, Calviello L, Lee JK, Smielewski P, Brady K, et al. Validation of pressure reactivity and pulse amplitude indices against the Lower Limit of Autoregulation, Part I: experimental intracranial hypertension. J Neurotrauma. 2018;35:2803–11.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Zeiler FA, Lee JK, Smielewski P, Czosnyka M, Brady K. Validation of intracranial pressure-derived cerebrovascular reactivity indices against the Lower Limit of Autoregulation, Part II: experimental model of arterial hypotension. J Neurotrauma. 2018;35:2812–9.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Brady Ken M, Lee Jennifer K, Kibler Kathleen K, Easley R, Blaine, Koehler Raymond C. Shaffner Donald H. Continuous Measurement of Autoregulation by spontaneous fluctuations in cerebral perfusion pressure. Stroke. 2008;39:2531–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Beqiri E, Brady KM, Lee JK, Donnelly J, Zeiler FA, Czosnyka M, et al. Lower limit of reactivity assessed with PRx in an experimental setting. Acta Neurochir Suppl. 2021;131:275–8.

    Article  PubMed  Google Scholar 

  52. Liu X, Hu X, Brady KM, Koehler R, Smielewski P, Czosnyka M, et al. Comparison of wavelet and correlation indices of cerebral autoregulation in a pediatric swine model of cardiac arrest. Sci Rep. 2020;10:5926.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

FAZ is supported through the Manitoba Public Insurance (MPI) Professorship in Neuroscience/TBI Research Endowment, NSERC, Canadian Institutes of Health Research (CIHR), the MPI Neuroscience Research Operating Fund, the Health Sciences Centre Foundation Winnipeg, the Canada Foundation for Innovation (CFI)(Project #: 38583), Research Manitoba (Grant #: 3906 and 5429) and the University of Manitoba VPRI Research Investment Fund (RIF). LF is supported through a Research Manitoba PhD Fellowship, the Brain Canada Thompkins Travel Scholarship, NSERC (ALLRP-576386-22) and the Graduate Enhancement of Tri-Council Stipends (GETS) – University of Manitoba. AG is supported through a CIHR Fellowship (Grant #: 472,286). ASS is supported through the University of Manitoba Graduate Fellowship (UMGF) – Biomedical Engineering, NSERC (RGPIN-2022-03621), and the Graduate Enhancement of Tri-Council Stipends (GETS) – University of Manitoba. KYS is supported through the University of Manitoba R.G. and E.M. Graduate Fellowship (Doctoral) in Biomedical Engineering and the University of Manitoba MD/PhD program. NV is supported by NSERC (RGPIN-2022-03621).

Funding

This work was directly supported through the Manitoba Public Insurance (MPI) Professorship in Neuroscience, and the Natural Sciences and Engineering Research Council of Canada (NSERC) (DGECR-2022-00260, RGPIN-2022-03621, ALLRP-576386-22, ALLRP-578524-22).

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LF prepared, analyzed and interpreted the patient data. AG, ASS, IM, FA, KP,NB and PD helped collect and interpret patient data. FAZ and LF formalized methods and main analysis for this manuscript and were major contributors in writing the first draft manuscript. All authors read and approved the final manuscript.

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Correspondence to Logan Froese.

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Data were collected following full approval by the University of Manitoba Biomedical Research Ethics Board (H2020:019 and H2020:104) and the Health Sciences Centre Research Impact Committee, which are renewed on an annual basis reconfirmed in 2022.

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Froese, L., Gomez, A., Sainbhi, A.S. et al. Optimal bispectral index exists in healthy patients undergoing general anesthesia: A validation study. J Clin Monit Comput (2024). https://doi.org/10.1007/s10877-024-01136-3

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