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D. J. Kutsogiannis
18.3.3.3 Intraparenchymal Cerebral Oxygen Monitoring
Although the fourth edition of the Guidelines for the Management of Severe Traumatic Brain Injury does not provide guidance for the use of PbtO2 to monitor patients with TBI, the International Multidisciplinary Consensus Conference on Multimodality Monitoring in Neurocritical Care strongly recommends monitoring brain oxygen in patients with or at risk of cerebral ischemia or hypoxia using PbtO2. This recommendation was made with a low quality of evidence [6]. However, sub­sequent to these recommendations, the phase II randomized trial (BOOST II) com­paring monitoring TBI patients with ICP plus PbtO2 versus ICP alone has demonstrated that monitoring with both ICP and PbtO2 reduced the proportion of time with brain tissue hypoxia after severe TBI by more than 50% to only 16% of the time, and with a trend to lower mortality and more favorable neurological out­comes [47].
18.3.3.4 Cerebral Blood Flow
A recent systematic review has collectively identied SAH, IVH, a low admission glasgow coma scale (GCS), and age less than 30years as independent predictors of developing TBI- induced vasospasm [48]. Separate TCD indexes describing cerebral hypoperfusion or vasospasm both predicted poor outcomes in severe TBI [49]. The use of TCD/TCCS has also emerged as an important technique to monitor patients with blunt cerebrovascular trauma or dissection. Transcranial ultrasound microem­boli detection has demonstrated a strong association between the number of micro­emboli per hour and daily persistence of microemboli with the development of stroke in patients with blunt cerebrovascular injuries [50].
18.3.3.5 Electrophysiology
The current recommendations from the neurointensive care section of the ESICM for the use of EEG in TBI include (1) a strong recommendation for its use in all TBI patients with unexplained and persistent altered consciousness and (2) a suggestion for the use of EEG to exclude NCSz in patients with TBI and GCS<8, especially in those with large cortical contusions/hematoma, depressed skull fracture, or pen­etrating injury [22]. As well the prospect for the future use of cortical depth elec­trodes to monitor for spreading depolarizations as a surrogate for metabolic failure and excitotoxic injury has recently l
ed to a consensus statement outlining standards
for their recording, analysis, and interpretation [2].
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327
18.3.3.6 Cerebral Metabolism
The recommended location for microdialysis placement in TBI patients is the non­dominant frontal lobe in patients with diffuse TBI and within radiographically nor­mal brain ipsilateral to a focal lesion in focal TBI.The measurement of glucose, lactate, and lactate–pyruvate (LP) ratio is recommended [29]. Periods of low brain glucose (<0.8mmol/L) are associated with poor outcomes. An elevated LP ratio in the presence of low pyruvate and low PbtO2 indicates ischemia, whereas an increase in the LP ratio with a high pyruvate and normal PbtO2 indicates mitochondrial dys­function. A rise in LP ratio concomitant with a fall in CPP and a loss of cerebrovas­cular reactivity (PRx) corresponds to ischemia as the likely etiology. Cerebral perfusion pressure augmentation, increasing PaCO2, increasing inspired oxygen, or treating anemia should be considered [5, 29]. Nonischemic metabolic crises appear to be responsible for most of the incidents of LP elevation and are thought to be related to mitochondrial dysfunction and reduced oxidative metabolism [51]. The Consensus Statement from the 2014 International Microdialysis Forum described cerebral microdialysis to be a reliable and safe technique for the clinical manage­ment of TBI or SAH patients [29]. It includes reference values for commonly mea­sured substrates and ranks them based on quantity and usefulness of clinical data, with glucose and lactate/pyruvate ratio (LPR) being at the top, followed by gluta­mate and then glycerol. Moreover, when using cerebral microdialysis, one must be aware of the location of the catheter (peri-contusional versus normal brain) as results vary widely [52].
18.3.4 Acute Ischemic Stroke (AIS)
18.3.4.1 Cerebral Blood Flow
Flow velocity reduction or occlusion of the MCA in acute ischemic stroke is better discerned using transcranial color-coded duplex sonography than with standard TCD methods and the absence of ow reduction/occlusion on TCCS predicted early clinical improvement [53]. Greater than 30% of patients with successful angio­graphic recanalization post mechanical thrombectomy for large vessel occlusion stroke were demonstrated to have abnormally low MCA ow velocities by postint­ervention TCD.This was dened as thrombosis in brain ischemic grade 0–4. Such a mismatch between angiographic post-thrombectomy recanalization and poor TCD ow velocities predicted poor 90-day outcomes [54]. Although TCCS is not primarily used to direct the decision for angiographic recanalization, consensus rec­ommendations on how to examine intracranial arteries by TCCS in acute ischemic stroke and its use in monitoring recanalization have been published [55].
More recently, CT perfusion, diffusion-weighted magnetic resonance imaging (MRI), or MR diffusion/perfusion studies have been recommended in selected patients with large vessel acute ischemic stroke within 6 to 24hours of last known normal
328
D. J. Kutsogiannis
function to aid in patient selection for mechanical thrombectomy based on the DAWN and DEFUSE 3 trial [5658]. These imaging methods dene an initial infarct volume (ischemic core) and volume of potentially reversible ischemia (penumbra) for the selec­tion of patients for which thrombolytics and thrombectomy are useful. The requirement for these measurements currently limits the use of TCD/TCCS in this setting.
18.3.4.2 Electrophysiology
Quantitative EEG (QEEG) specically using the delta/alpha power ratio (DAR) has demonstrated good accuracy in classifying patients with acute ischemic stroke [59]. The DAR, relative alpha power, and national institute of health stroke scale (NIHSS) score were independent predictors of worsening 30-day NIHSS score in ischemic cortical stroke patients.
18.3.5 Meningitis andEncephalitis
18.3.5.1 Cerebral Blood Flow
Although there has been a limited description of signicant cerebral blood ow abnormalities in cases of encephalitis, signicant cerebrovascular abnormalities have been more notable in meningitis [60]. By varying mean arterial pressure (MAP) and measuring MCA MFV and jugular oxygen saturation, autoregulation was found to be impaired but temporarily recovered with hyperventilation in a series of patients with acute bacterial meningitis. Outcomes were good for those patients who recovered cerebral autoregulation; however, those who did not, either died or had a protracted hospital course [61, 62]. Three phases of tuberculous men­ingitis have been described with progressively worsening outcomes. The rst phase includes patients with focal reversible neurological decits and a GCS of 15 who have increased MCA ow velocities (MFV) and normal or slightly decreased PI.The second phase characterizes patients with focal neurological decits, a GCS 12–14, and decreased MCA MFV and PI.The third phase characterizes patients with GCS less than 12, severely reduced or absent MCA MFV, and severely reduced PI.Phase II and III patients have cerebral CT evidence of inammatory meningitis and infarction with clinical ndings of permanent neurological dysfunction or death [63]. Disturbed cerebral hemodynamics including MCA stenosis and an increased PI has been shown using TCCS in a small series of patients with non-HIV crypto­coccal meningitis. Good concordance between the TCCS ndings and those seen on MR angiography was not evident; however, the small number of study patients lim­its conclusions [64]. The same investigators have demonstrated in a small series of patients with tuberculous or cryptococcal meningitis that the presence of unilateral or bilateral MCA stenosis seen on TCCS was associated with 5.3 odds of a poor outcome (Barthel Index <12) at 6months [65].
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18.4 Conclusion

All current and evolving MMM technologies provide complementary information for caring for patients in the neurointensive care unit with acute cerebral injuries of various etiologies. Given the resources required to have these technologies available within neurointensive care units and to maintain the necessary skills required to interpret information from these technologies, appropriately designed cohort stud­ies and clinical trials should inform a high level of evidence for their use in clinical practice. Other current limitations with the use of MMM are that of real-time data integration, presentation, and analysis. Several sophisticated methods of data analy­sis such as hierarchical cluster analysis are utilizing physiological data from criti­cally ill patients to formulate patterns predictive of various outcomes. It is hoped that implementing these intelligent systems in the future will aid in effecting treat­ment decisions within the neurocritical care unit [66].

References

1. Macdonald RL.Delayed neurological deterioration after subarachnoid haemorrhage. Nat Rev
Neurol. 2014;10(1):44–58.
2. Dreier JP, Fabricius M, Ayata C, Sakowitz OW, Shuttleworth CW, Dohmen C, et al.
Recording, analysis, and interpretation of spreading depolarizations in neurointensive care: review and recommendations of the COSBID research group. J Cereb Blood Flow Metab. 2017;37(5):1595–625.
3. O'Reilly C, Totten AM, Carney N, Tasker RC, Wilberger J, Wright DW, etal. Guidelines for the
management of severe traumatic brain injury, Fourth Edition. Neurosurgery. 2016;80(1):6–15.
4. Czosnyka M, Miller C. Monitoring of cerebral autoregulation. Neurocrit Care.
2014;21(2):95–102.
5. Lazaridis C, Andrews CM.Brain tissue oxygenation, lactate-pyruvate ratio, and cerebrovas-
cular pressure reactivity monitoring in severe traumatic brain injury: systematic review and viewpoint. Neurocrit Care. 2014;2:345.
6. Le Roux P, Menon DK, Citerio G, Vespa P, Bader MK, Brophy G, etal. The international
multidisciplinary consensus conference on multimodality monitoring in Neurocritical care: evidentiary tables: a statement for healthcare professionals from the Neurocritical care soci­ety and the European Society of Intensive Care Medicine. Neurocrit Care. 2014;21(Suppl
2):S297–361.
7. Holger SJ, Guyatt G, Oxman A.Handbook for grading the quality of evidence and the strength
of recommendations using the GRADE approach. GRADE Handbook Updated. GRADE working group, October 2013. (gradeworkinggroup.org).
8. Rochwerg B, Alhazzani W, Jaeschke R.Clinical meaning of the GRADE rules. Intensive Care
Med. 2014;40(6):877–9.
9. Jaeschke R, Guyatt GH, Dellinger P, Schünemann H, Levy MM, Kunz R, et al. Use of
GRADE grid to reach decisions on clinical practice guidelines when consensus is elusive. BMJ. 2008;337:a744.
10. Otite F, Mink S, Tan CO, Puri A, Zamani AA, Mehregan A, etal. Impaired cerebral autoregula-
tion is associated with vasospasm and delayed cerebral ischemia in subarachnoid hemorrhage. Stroke. 2014;45(3):677–82.
330
11. Budohoski KP, Czosnyka M, Smielewski P, Kasprowicz M, Helmy A, Bulters D, et al.
Impairment of cerebral autoregulation predicts delayed cerebral ischemia after subarachnoid hemorrhage: a prospective observational study. Stroke. 2012;43(12):3230–7.
12. Calviere L, Nasr N, Arnaud C, Czosnyka M, Viguier A, Tissot B, etal. Prediction of delayed
cerebral ischemia after subarachnoid hemorrhage using cerebral blood ow velocities and cerebral autoregulation assessment. Neurocrit Care. 2015;23(2):253–8.
13. Ramakrishna R, Stiefel M, Udoteuk J, Spiotta A, Levine JM, Kofke WA, etal. Brain oxy-
gen tension and outcome in patients with aneurysmal subarachnoid hemorrhage. J Neurosurg. 2008;109(6):1075.
14. Ulrich CT, Fung C, Vatter H, Setzer M, Gueresir E, Seifert V, etal. Occurrence of vasospasm
and infarction in relation to a focal monitoring sensor in patients after SAH: placing a bet when placing a probe? PLoS One. 2013;8(5):e62754.
15. Engquist H, Rostami E, Enblad P.Temporal dynamics of cerebral blood ow during the acute
course of severe subarachnoid hemorrhage studied by bedside xenon-enhanced CT.Neurocrit Care. 2019;30(2):280–90.
16. Schubert GA, Seiz M, Hegewald AA, Manville J, Thomé C.Acute Hypoperfusion immedi-
ately after subarachnoid hemorrhage: a xenon contrast-enhanced CT study. J Neurotrauma. 2009;26(12):2225–31.
17. Sundt TM Jr, Sharbrough FW, Piepgras DG, Kearns TP, Messick JM Jr, O’Fallon
WM.Correlation of cerebral blood ow and electroencephalographic changes during carotid endarterectomy: with results of surgery and hemodynamics of cerebral ischemia. Mayo Clin Proc. 1981;56(9):533–43.
18. Jordan KG.Emergency EEG and continuous EEG monitoring in acute ischemic stroke. J Clin
Neurophysiol. 2004;21(5):341–52.
19. Vora YY, Suarez-Almazor M, Steinke DE, Martin ML, Findlay JM. Role of transcranial
Doppler monitoring in the diagnosis of cerebral vasospasm after subarachnoid hemorrhage. Neurosurgery. 1999;44(6):1237–47. discussion 47–8
20. Kumar G, Dumitrascu OM, Chiang C-C, O’Carroll CB, Alexandrov AV. Prediction of
delayed cerebral ischemia with cerebral angiography: a Meta-analysis. Neurocrit Care. 2019;30(1):62–71.
21. Kondziella D, Friberg CK, Wellwood I, Reiffurth C, Fabricius M, Dreier JP.Continuous EEG
monitoring in aneurysmal subarachnoid hemorrhage: a systematic review. Neurocrit Care. 2015;3:450.
22. Claassen J, Taccone FS, Horn P, Holtkamp M, Stocchetti N, Oddo M.Recommendations on
the use of EEG monitoring in critically ill patients: consensus statement from the neurointen­sive care section of the ESICM.Intensive Care Med. 2013;39(8):1337–51.
23. Gollwitzer S, Groemer T, Rampp S, Hagge M, Olmes D, Huttner HB, etal. Early prediction of
delayed cerebral ischemia in subarachnoid hemorrhage based on quantitative EEG: a prospec­tive study in adults. Clin Neurophysiol. 2015;126(8):1514–23.
24. Claassen J, Hirsch LJ, Frontera JA, Fernandez A, Schmidt M, Kapinos G, et al. Prognostic
signicance of continuous EEG monitoring in patients with poor-grade subarachnoid hemor­rhage. Neurocrit Care. 2006;4(2):103–12.
25. Bosco E, Marton E, Feletti A, Scarpa B, Longatti P, Zanatta P, etal. Dynamic monitors of brain
function: a new target in neurointensive care unit. Crit Care. 2011;15(4):R170.
26. Skjøth-Rasmussen J, Schulz M, Kristensen SR, Bjerre P. Delayed neurological decits
detected by an ischemic pattern in the extracellular cerebral metabolites in patients with aneu­rysmal subarachnoid hemorrhage. J Neurosurg. 2004;100(1):8.
27. Oddo M, Levine JM, Frangos S, Maloney-Wilensky E, Carrera E, Daniel RT, etal. Brain lac-
tate metabolism in humans with subarachnoid hemorrhage. Stroke. 2012;43(5):1418–21.
28. Tholance Y, Barcelos GK, Perret-Liaudet A, Omar E, Carrillon R, Grousson S, etal. Placing
intracerebral probes to optimise detection of delayed cerebral ischemia and allow for the pre­diction of patient outcome in aneurysmal subarachnoid haemorrhage. J Cereb Blood Flow Metab. 2017;37(8):2820–32.
29. Hutchinson PJ, Jalloh I, Helmy A, Carpenter KLH, Rostami E, Bellander B-M, etal. Consensus
statement from the 2014 international microdialysis forum. Intensive Care Med. 2015(9):1517.
D. J. Kutsogiannis
18 Non-invasive Multimodal Neuromonitoring in the ICU: The Role of Transcranial…
30. Hemphill JC, Morabito D, Farrant M, Manley GT.Brain tissue oxygen monitoring in intrace-
rebral hemorrhage. Neurocrit Care. 2005;3(3):260–70.
31. Ko SB, Choi HA, Parikh G, Helbok R, Schmidt JM, Lee K, etal. Multimodality monitoring for
cerebral perfusion pressure optimization in comatose patients with intracerebral hemorrhage. Stroke. 2011;42(11):3087–92.
32. Diedler J, Santos E, Poli S, Sykora M.Optimal cerebral perfusion pressure in patients with
intracerebral hemorrhage: an observational case series. Crit Care. 2014;18(2):R51.
33. Camps-Renom P, Méndez J, Granell E, Casoni F, Prats-Sánchez L, Martínez-Domeño A, etal.
Transcranial duplex sonography predicts outcome following an intracerebral hemorrhage. Am J Neuroradiol. 2017;38(8):1543–9.
34. Davis SM, Broderick J, Hennerici M, Brun NC, Diringer MN, Mayer SA, etal. Hematoma
growth is a determinant of mortality and poor outcome after intracerebral hemorrhage. Neurology. 2006;66(8):1175–81.
35. Leira R, Dávalos A, Silva Y, Gil-Peralta A, Tejada J, Garcia M, et al. Early neurologic
deterioration in intracerebral hemorrhage. Predictors and associated factors. Neurology. 2004;63(3):461–7.
36. Pérez ES, Delgado-Mederos R, Rubiera M, Delgado P, Ribó M, Maisterra O, et al.
Transcranial duplex sonography for monitoring Hyperacute intracerebral hemorrhage. Stroke. 2009;40(3):987–90.
37. Ovesen C, Christensen AF, Krieger DW, Rosenbaum S, Havsteen I, Christensen H. Time
course of early postadmission hematoma expansion in spontaneous intracerebral hemorrhage. Stroke. 2014;45(4):994–9.
38. Al-Shahi Salman R, Frantzias J, Lee RJ, Lyden PD, Battey TWK, Ayres AM, etal. Absolute
risk and predictors of the growth of acute spontaneous intracerebral haemorrhage: a systematic review and meta-analysis of individual patient data. Lancet Neurol. 2018;17(10):885–94.
39. Claassen J, Jetté N, Chum F, Green R, Schmidt M, Choi H, etal. Electrographic seizures and
periodic discharges after intracerebral hemorrhage. Neurology. 2007;69(13):1356–65.
40. Vespa PM, O’Phelan K, Shah M, Mirabelli J, Starkman S, Kidwell C, et al. Acute seizures
after intracerebral hemorrhage. A factor in progressive midline shift and outcome. Neurology. 2003;60(9):1441–6.
41. Bellner J, Romner B, Reinstrup P, Kristiansson K-A, Ryding E, Brandt L. Transcranial
Doppler sonography pulsatility index (PI) reects intracranial pressure (ICP). Surg Neurol. 2004;62(1):45–51.
42. Wang Y, Duan YY, Zhou HY, Yuan LJ, Zhang L, Wang W, etal. Middle cerebral arterial ow
changes on transcranial color and spectral Doppler sonography in patients with increased intracranial pressure. J Ultrasound Med. 2014;33(12):2131–6.
43. Bouzat P, Almeras L, Manhes P, Sanders L, Levrat A, David J-S, etal. Transcranial Doppler
to predict neurologic outcome after mild to moderate traumatic brain injury. Anesthesiology. 2016;125(2):346–54.
44. Steiner LA, Czosnyka M, Piechnik SK, Smielewski P, Chateld D, Menon DK, 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(4):733–8.
45. Aries MJ, Czosnyka M, Budohoski KP, Steiner LA, Lavinio A, Kolias AG, etal. Continuous
determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit Care Med. 2012;40(8):2456–63.
46. Zeiler FA, Donnelly J, Calviello L, Smielewski P, Menon DK, Czosnyka M.Pressure auto-
regulation measurement techniques in adult traumatic brain injury, part II: a scoping review of continuous methods. J Neurotrauma. 2017;34(23):3224–37.
47. Okonkwo DO, Shutter LA, Moore C, Temkin NR, Puccio AM, Madden CJ, etal. Brain oxygen
optimization in severe traumatic brain injury phase-II: a phase II randomized trial. Crit Care Med. 2017;45(11):1907–14.
48. Al-Mufti F, Amuluru K, Changa A, Lander M, Patel N, Wajswol E, etal. Traumatic brain injury
and intracranial hemorrhage–induced cerebral vasospasm: a systematic review. Neurosurg Focus. 2017;43(5):E14.
331
332
49. Ziegler D, Cravens G, Poche G, Gandhi R, Tellez M.Use of transcranial Doppler in patients
with severe traumatic brain injuries. J Neurotrauma. 2017;34(1):121–7.
50. Bonow RH, Witt CE, Mosher BP, Mossa-Basha M, Vavilala MS, Rivara FP, etal. Transcranial
Doppler microemboli monitoring for stroke risk stratication in blunt cerebrovascular injury. Crit Care Med. 2017;45(10):e1011–e7.
51. Vespa P, Bergsneider M, Hattori N, Wu HM, Huang SC, Martin NA, etal. Metabolic crisis
without brain ischemia is common after traumatic brain injury: a combined microdialysis and positron emission tomography study. J Cereb Blood Flow Metab. 2005;25(6):763–74.
52. Engstrom M, Polito A, Reinstrup P, Romner B, Ryding E, Ungerstedt U, etal. Intracerebral
microdialysis in severe brain trauma: the importance of catheter location. J Neurosurg. 2005;102(3):460–9.
53. Goertler M, Kross R, Baeumer M, Jost S, Grote R, Weber S, etal. Diagnostic impact and
prognostic relevance of early contrast-enhanced transcranial color-coded duplex sonography in acute stroke. Stroke. 1998;29(5):955–62.
54. Kneihsl M, Niederkorn K, Deutschmann H, Enzinger C, Poltrum B, Horner S, et al.
Abnormal blood ow on transcranial duplex sonography predicts poor outcome after stroke Thrombectomy. Stroke. 2018;49(11):2780–2.
55. Nedelmann M, Stolz E, Gerriets T, Baumgartner Ralf W, Malferrari G, Seidel G, et al.
Consensus recommendations for transcranial color-coded duplex sonography for the assess­ment of intracranial arteries in clinical trials on acute stroke. Stroke. 2009;40(10):3238–44.
56. Powers WJ, Rabinstein AA, Ackerson T, Adeoye OM, Bambakidis NC, Becker K, etal. 2018
guidelines for the early management of patients with acute Ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2018;49(3):e46–e110.
57. Nogueira RG, Jadhav AP, Haussen DC, Bonafe A, Budzik RF, Bhuva P, etal. Thrombectomy
6 to 24 hours after stroke with a mismatch between decit and infarct. N Engl J Med. 2018;378(1):11–21.
58. Albers GW, Marks MP, Kemp S, Christensen S, Tsai JP, Ortega-Gutierrez S, et al.
Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med. 2018;378(8):708–18.
59. Finnigan S, Wong A, Read S.Dening abnormal slow EEG activity in acute ischaemic stroke:
Delta/alpha ratio as an optimal QEEG index. Clin Neurophysiol. 2016;127(2):1452–9.
60. Kargiotis O, Safouris A, Magous G, Stamboulis E, Tsivgoulis G. Transcranial color-
coded duplex in acute encephalitis: current status and future prospects. J Neuroimaging. 2016;26(4):377–82.
61. Moller K, Larsen FS, Qvist J, Wandall JH, Knudsen GM, Gjorup IE, et al. Dependency of
cerebral blood ow on mean arterial pressure in patients with acute bacterial meningitis. Crit Care Med. 2000;28(4):1027–32.
62. Moller K, Skinhoj P, Knudsen GM, Larsen FS. Effect of short-term hyperventilation on
cerebral blood ow autoregulation in patients with acute bacterial meningitis. Stroke. 2000;31(5):1116–22.
63. Kiliç T, Elmaci I, Özek MM, Pamir NM.Utility of transcranial Doppler ultrasonography in
the diagnosis and follow-up of tuberculous meningitis-related vasculopathy. Childs Nerv Syst. 2002;18(3):142–6.
64. Chang W-N, Lu C-H, Chang H-W, Lui C-C, Tsai N-W, Huang C-R, etal. Time course of
cerebral hemodynamics in cryptococcal meningitis in HIV-negative adults. Eur J Neurol. 2007;14(7):770–6.
65. Lu C-H, Chang W-N, Chang H-W, Chung K-J, Tsai N-W, Lui C-C, etal. Clinical relevance
of intracranial arterial Stenoses in tuberculous and Cryptococcal meningitis. Infection. 2007;35(5):359–63.
66. Cohen MJ, Grossman AD, Morabito D, Knudson MM, Butte AJ, Manley GT.Identication of
complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care. 2010;14(1):R10.
D. J. Kutsogiannis
Chapter 19
Acute Neurologic Injury inICU: Vasomotor Reactivity Testing byTranscranial Doppler (TCD/TCCS)
PedroCastro andElsaAzevedo
Key Points
1. Breath-hold test, carbogen inhalation and acetazolamide are the most commonly
used stimulus.
2. Worse vasoreactivity has been linked to prognosis in critical care patients.
3. Decreased cerebral vasoreactivity increases the risk of cerebral ischemic lesions.

19.1 Introduction

Cerebral vasoreactivity or vasomotor reactivity (VMR) is an index of cerebral blood ow (CBF) or velocity (CBFV) in response after administration of a vasomodula­tory stimulus, whether it is a drug (e.g. acetazolamide intravenous), gases (e.g. car­bogen), or a manoeuvre that causes changes in PaCO2 (e.g. apnoea or hyperventilation) [1]. Important note is that such a denition leaves reactivity to change in cerebral perfusion pressure (PP) in a chapter related to autoregulation. Vasodilation is most commonly studied. The aim of VMR or vasomotor evaluation is to measure the capacity and amplitude of variation of resistance vessel calibre, which for some
P. Castro (*) Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of University of Porto, Porto, Portugal
Department of Neurology and Stroke Unit, Centro Hospitalar Universitário de São João, E.P.E, Porto, Portugal e-mail: pedromacc@gmail.com
E. Azevedo Neurologist, Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of University of Porto, Porto, Portugal
Department of Neurology, Universitary Hospital São João, Porto, Portugal
Committee Member - ESNCH, Oslo, Norway
C. N. Rodríguez et al. (eds.), Neurosonology in Critical Care,
https://doi.org/10.1007/978-3-030-81419-9_19
333© Springer Nature Switzerland AG 2022
334
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authors can be understood as “cerebrovascular reserve” [24]. Generally, both mid­dle cerebral arteries (MCA) are monitored because they represent a larger brain area and have reference values in the literature [2]. The VMR to CO2 test is mostly used in research, while the simpler apnoea test [5] may be more practical in the clinical setting. Literature is confusing about VMR testing since the term vasomotor is sometimes used to refer to cerebral autoregulation, which is a different physiologi­cal property of cerebral vessels than concerns blood pressure inuences and is mea­sured with different techniques.
P. Castro and E. Azevedo

19.2 Cerebral Blood Haemodynamic Measurements

VMR testing requires measurement of CBF or equivalent. The rst can be assessed by measuring regional CBF by single-photon emission computed tomography or positron emission tomography. CBFV is measured by transcranial Doppler (TCD). The imaging methods have the advantage of spatial discrimination when compared to TCD but lack time resolution and involve cumbersome, expensive protocols and irradiation. New methods are being tested with arterial spin labelling magnetic reso­nance imaging, which can be difcult to put in practice in ICU patients [2]. TCD has the advantage of being more practical, with bedside testing and monitoring of the patient through the time course of its condition.

19.3 Cerebral Blood Flow (CBF): Physiology Principles

Blood ow does not follow the simple laws of Newtonian uids and is best studied by rheological principles [6]. However, in a more simplistic perspective, we can describe the blood ow by Ohm’s law according to the formula Q = ΔP / R, where Q represents the ow in ml.min-1, ΔP is the blood pressure gradient, and R is the vascular resistance. In the case of the brain [7], ΔP is the cerebral PP, the difference between the mean BP (MAP) and the transmural pressure opposing the ow. In the systemic circulation, the only contributory and relevant factor for this is the venous pressure (2–5 mm Hg) [6]. Considering the normal values of peripheral MAP (≈80mm Hg), we can approximate the formula such that QMAP / R for the gen­eral peripheral circulation.
The determinants of R are explained by the Hagen–Poiseuille law (Eq.19.1), where L is the length of the vessel and η is the blood viscosity of the cross-sectional radius of the vessel [8]. From this, we can see the central importance of resistance vessels, in which small variations in their diameter exponentially modify the blood ow in the organ they nourish.
R
η
×
Π
(19.1)
40
19 Acute Neurologic Injury in ICU: Vasomotor Reactivity Testing by Transcranial…
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Despite what has already been said, some precautions are necessary for the CBF study because intracranial circulation has a special character, in which the perfused organ is inside a rigid skull bathed in cerebrospinal uid (CSF). Thus, CSF pressure, that is, intracranial pressure (ICP), which is usually between 0 and 15mm Hg, may dominate and replace venous pressure in ΔP. In non-invasive conditions, we do not have access to the value of ICP and it is ignored. However, in certain ICU patients ICP may reach values higher than 30–40mm Hg and signicantly alter the param­eters to be taken into account in the formula. In conclusion, both MAP and ICP should be kept constant during CO2 challenge since these are factors that altered per se CBF.

19.4 Vasoreactivity Determining: Methods

There are three main methods for determining VMR:
1. Breath-Hold Test [5]: After a period of rest and a normal inspiration, the indi-
vidual is instructed to remain in apnoea for about 30 seconds (minimum of 24seconds) with consequent increase of PaCO2. A breath-hold index (BHI) is calculated by using mean CBFV (MFV) values by formula BHI=(MFVmax – MFVbaseline)/MFVbaseline/apnoea time (in seconds)× 100, where MFVmax corresponds to the average MFV in the last 4seconds of apnoea and MFVbaseline to the average values of MFV in the minute preceding apnoea, which requires a cooperative conscious patients but no capnography. Some authors couple this manoeuvre with hyperventilation to access global VMR capacity as described below [1]. Disadvantage is that change in CBFV cannot be compared with change of PaCO2.
2. CO2 VMR Test [9]: Here, MFV changes are monitored continuously with those
of the EtCO patients, we can use a mask with non-recirculating circuit coupled to a reservoir
by capnography [Figs. 19.1, 19.2, and 19.3]. In non-intubated
2
CO2 (mmHg) expiratório
0
Fig. 19.1 Capnography nasal line for non-invasive end-tidal CO2 measurement. Normal subject. After the inspiratory phase (white bar), during which there is no ow in the cannula, the device detects a sudden increase in carbon dioxide (CO believed to be in equilibrium with alveolar CO approaches the real value of arterial PaCO waveform from sample line in the orotracheal apparatus
) during expiration, leading to a plateau stage
2
partial pressure. Therefore, the end-tidal CO2 level
2
. In intubated patients, capnography produces similar
2