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Monitoring the Brain After Cardiac Arrest: a New Era

  • Critical Care (S Mayer, Section Editor)
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Abstract

Purpose of Review

Of the approximately 350,000 out-of-hospital, and 750,000 after in-hospital cardiac arrest (CA) events in the US annually approximately 5-9% and 20% respectively may achieve return of spontaneous circulation (ROSC) after attempted cardiopulmonary resuscitation (CPR). Up to 2/3 of these initial survivors may go on die in the subsequent 24-72 hours after ROSC due to a combination of (1) on-going cerebral injury, (2) myocardial dysfunction and (3) massive systemic inflammatory response. In order to successfully manage patients more effectively, monitoring methods are needed to aid clinicians in the detection and quantification of intra-cardiac arrest and post-resuscitation pathophysiological cerebral injury processes in the intensive care unit.

Recent Findings

Over the last few years many modalities have been used for cerebral monitoring during and after CA, these include quantitative pupillometry, transcranial doppler sonography, optic nerve sheath diameter measurements, microdialysis, tissue oxygenation monitoring, intra-cranial pressure monitoring, and electroencephalography. Current studies indicate that these modalities may be used for the purpose of neurological monitoring during cardiac arrest resuscitation as well as in the post-resuscitation period.

Summary

Multiple overlapping processes, including alterations in cerebral blood flow (CBF), raised intracerebralpressure, disorders of metabolism, imbalanced oxygen delivery and reperfusion injury contribute to cell death during the post-resuscitation period has led to the birth of post-resuscitation management strategies in the 21st century. This review provides a succinct overview of currently available bedside invasive and non-invasive neuro-monitoring methods after CA.

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References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Zheng ZJ, et al. Sudden cardiac death in the United States, 1989 to 1998. Circulation. 2001;104(18):2158–63.

    Article  CAS  PubMed  Google Scholar 

  2. Sandroni C, et al. In-hospital cardiac arrest: incidence, prognosis and possible measures to improve survival. Intensive Care Med. 2007;33(2):237–45.

    Article  PubMed  Google Scholar 

  3. Edgren E, et al. The presenting ECG pattern in survivors of cardiac arrest and its relation to the subsequent long-term survival. Brain resuscitation clinical trial I study group. Acta Anaesthesiol Scand. 1989;33(4):265–71.

    Article  CAS  PubMed  Google Scholar 

  4. Lim C, et al. The neurological and cognitive sequelae of cardiac arrest. Neurology. 2004;63(10):1774–8.

    Article  CAS  PubMed  Google Scholar 

  5. van Alem AP, et al. Cognitive impairment in survivors of out-of-hospital cardiac arrest. Am Heart J. 2004;148(3):416–21.

    Article  PubMed  Google Scholar 

  6. Kern KB. Optimal treatment of patients surviving out-of-hospital cardiac arrest. JACC Cardiovasc Interv. 2012;5(6):597–605.

    Article  PubMed  Google Scholar 

  7. Neumar RW, et al. Post-cardiac arrest syndrome: epidemiology, pathophysiology, treatment, and prognostication. A consensus statement from the International Liaison Committee on Resuscitation (American Heart Association, Australian and New Zealand Council on Resuscitation, European Resuscitation Council, Heart and Stroke Foundation of Canada, InterAmerican Heart Foundation, Resuscitation Council of Asia, and the Resuscitation Council of Southern Africa); the American Heart Association Emergency Cardiovascular Care Committee; the Council on Cardiovascular Surgery and Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical Care; the Council on Clinical Cardiology; and the Stroke Council. Circulation. 2008;118(23):2452–83.

    Article  PubMed  Google Scholar 

  8. Chalkias A, Xanthos T. Post-cardiac arrest brain injury: pathophysiology and treatment. J Neurol Sci. 2012;315(1–2):1–8.

    Article  PubMed  Google Scholar 

  9. Basu S, et al. Evidence for time-dependent maximum increase of free radical damage and eicosanoid formation in the brain as related to duration of cardiac arrest and cardio-pulmonary resuscitation. Free Radic Res. 2003;37(3):251–6.

    Article  CAS  PubMed  Google Scholar 

  10. • Larson MD, Behrends M. Portable infrared pupillometry: a review. Anesth Analg. 2015;120(6):1242–53. Larson and Behrends review the anatomy, physiology and methodology to objectively measure PLR and PRD in health, anesthetized subjects, post-resuscitation care and after traumatic brain injury. They conclude that this study is still in its infancy, but it is convenient and accurate and objects a measure that is related to brainstem integrity that was earlier only a clinical impression.

    Article  PubMed  Google Scholar 

  11. Ellermeier W, Westphal W. Gender differences in pain ratings and pupil reactions to painful pressure stimuli. Pain. 1995;61(3):435–9.

    Article  CAS  PubMed  Google Scholar 

  12. Behrends M, Niemann CU, Larson MD. Infrared pupillometry to detect the light reflex during cardiopulmonary resuscitation: a case series. Resuscitation. 2012;83(10):1223–8.

    Article  PubMed  Google Scholar 

  13. Loewenfeld IE. The pupil: anatomy, physiology, and clinical applications. 2nd ed. Woburn: Butterworth-Heinemann; 1999.

    Google Scholar 

  14. Suys T, et al. Automated quantitative pupillometry for the prognostication of coma after cardiac arrest. Neurocrit Care. 2014;21(2):300–8.

    Article  PubMed  Google Scholar 

  15. Heimburger D, et al. Quantitative pupillometry and transcranial Doppler measurements in patients treated with hypothermia after cardiac arrest. Resuscitation. 2016;103:88–93.

    Article  PubMed  Google Scholar 

  16. Reynolds JC, Elmer J. The adventure of the dying detective: commentary on “Quantitative pupillometry and transcranial Doppler measurements in patients treated with hypothermia after cardiac arrest” by Heimberger et al. Resuscitation. 2016;103:A1–2.

    Article  PubMed  Google Scholar 

  17. •• Naqvi J, et al. Transcranial Doppler ultrasound: a review of the physical principles and major applications in critical care. Int J Vasc Med. 2013;2013:629378. This paper reviews the underlying physical principles of TCD, flow indices frequently used in clinical care, and critical care indications for TCD in adults and children. Naqvi et al. performed a literature search of English language articles of previous 10 years and consulted 11 articles in depth for this review. They conclude that though portability, repeatability, noninvasiveness, and high temporal resolution of TCD are useful in bedside monitoring of CBF in the critically ill, operator dependency is a significant limitation to its clinical utility. The authors conclude that the temporal resolution and convenience make it a vita lasset in critical care

    PubMed  PubMed Central  Google Scholar 

  18. Nicoletto HA, Burkman MH. Transcranial Doppler series part II: performing a transcranial Doppler. Am J Electroneurodiagnostic Technol. 2009;49(1):14–27.

    PubMed  Google Scholar 

  19. Belfort MA, et al. Changes in flow velocity, resistance indices, and cerebral perfusion pressure in the maternal middle cerebral artery distribution during normal pregnancy. Acta Obstet Gynecol Scand. 2001;80(2):104–12.

    CAS  PubMed  Google Scholar 

  20. Pierrakos C, et al. Transcranial doppler assessment of cerebral perfusion in critically ill septic patients: a pilot study. Ann Intensive Care. 2013;3:28–8.

  21. Moppett IK, Mahajan RP. Transcranial Doppler ultrasonography in anaesthesia and intensive care. Br J Anaesth. 2004;93(5):710–24.

    Article  CAS  PubMed  Google Scholar 

  22. Czosnyka M, et al. Hemodynamic characterization of intracranial pressure plateau waves in head-injury patients. J Neurosurg. 1999;91(1):11–9.

    Article  CAS  PubMed  Google Scholar 

  23. Gosling RG, King DH. Arterial assessment by Doppler-shift ultrasound. Proc R Soc Med. 1974;67(6 Pt 1):447–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  24. de Riva N, et al. Transcranial Doppler pulsatility index: what it is and what it isn't. Neurocrit Care. 2012;17(1):58–66.

    Article  PubMed  Google Scholar 

  25. Wilterdink JL, et al. Transcranial Doppler ultrasound battery reliably identifies severe internal carotid artery stenosis. Stroke. 1997;28(1):133–6.

    Article  CAS  PubMed  Google Scholar 

  26. White H, Venkatesh B. Applications of transcranial Doppler in the ICU: a review. Intensive Care Med. 2006;32(7):981–94.

    Article  PubMed  Google Scholar 

  27. Tsivgoulis G, et al. Real-time validation of transcranial Doppler criteria in assessing recanalization during intra-arterial procedures for acute ischemic stroke: an international, multicenter study. Stroke. 2013;44(2):394–400.

    Article  PubMed  Google Scholar 

  28. Tsivgoulis G, et al. Validation of transcranial Doppler with computed tomography angiography in acute cerebral ischemia. Stroke. 2007;38(4):1245–9.

    Article  PubMed  Google Scholar 

  29. Blumenstein J, et al. Cerebral flow pattern monitoring by transcranial Doppler during cardiopulmonary resuscitation. Anaesth Intensive Care. 2010;38(2):376–80.

    CAS  PubMed  Google Scholar 

  30. Belohlavek J, et al. Feasibility of cerebral blood flow and oxygenation monitoring by continuous transcranial Doppler combined with cerebral oximetry in a patient with refractory cardiac arrest treated by extracorporeal life support. Perfusion. 2014;29(6):534–8.

    Article  CAS  PubMed  Google Scholar 

  31. Lewis LM, et al. Transcranial Doppler determination of cerebral perfusion in patients undergoing CPR: methodology and preliminary findings. Ann Emerg Med. 1990;19(10):1148–51.

    Article  CAS  PubMed  Google Scholar 

  32. Wessels T, et al. The prognostic value of early transcranial Doppler ultrasound following cardiopulmonary resuscitation. Ultrasound Med Biol. 2006;32(12):1845–51.

    Article  PubMed  Google Scholar 

  33. Lemiale V, et al. Changes in cerebral blood flow and oxygen extraction during post-resuscitation syndrome. Resuscitation. 2008;76(1):17–24.

    Article  PubMed  Google Scholar 

  34. Lin JJ, et al. Transcranial Doppler ultrasound in therapeutic hypothermia for children after resuscitation. Resuscitation. 2015;89:182–7.

    Article  PubMed  Google Scholar 

  35. Doepp Connolly F, et al. Duplex sonography of cerebral blood flow after cardiac arrest--a prospective observational study. Resuscitation. 2014;85(4):516–21.

    Article  PubMed  Google Scholar 

  36. Bisschops LL, van der Hoeven JG, Hoedemaekers CW. Effects of prolonged mild hypothermia on cerebral blood flow after cardiac arrest. Crit Care Med. 2012;40(8):2362–7.

    Article  PubMed  Google Scholar 

  37. Wakerley BR, Sharma VK. Transcranial Doppler derived pulsatility index in the assessment of intracranial pressure: the trend is your friend. Neurosurgery. 2013;72(2):E319–20.

    Article  PubMed  Google Scholar 

  38. Gjerris F, Brennum J. The cerebrospinal fluid, intracranial pressure and herniation of the brain. In: Gjerris F, Paulson OB, Sørensen PS, editors. Clinical neurology and neurosurgery. Copenhagen: FADL’s Forlag Aktieselskab; 2004. p. 179–96.

    Google Scholar 

  39. Dean JM, McComb JG. Intracranial pressure monitoring in severe pediatric near-drowning. Neurosurgery. 1981;9(6):627–30.

    Article  CAS  PubMed  Google Scholar 

  40. Gueugniaud PY, et al. Prognostic significance of early intracranial and cerebral perfusion pressures in post-cardiac arrest anoxic coma. Intensive Care Med. 1991;17(7):392–8.

    Article  CAS  PubMed  Google Scholar 

  41. Iida K, et al. Delayed hyperemia causing intracranial hypertension after cardiopulmonary resuscitation. Crit Care Med. 1997;25(6):971–6.

    Article  CAS  PubMed  Google Scholar 

  42. Flynn LM, Rhodes J, Andrews PJ. Therapeutic hypothermia reduces intracranial pressure and partial brain oxygen tension in patients with severe traumatic brain injury: preliminary data from the Eurotherm3235 trial. Ther Hypothermia Temp Manag. 2015;5(3):143–51.

    Article  PubMed  PubMed Central  Google Scholar 

  43. • Naito H, et al. Intracranial pressure increases during rewarming period after mild therapeutic hypothermia in postcardiac arrest patients. Ther Hypothermia Temp Manag. 2016;6(4):189–93. Naito et al. observed the changes in ICP during mild TH and rewarming after CA in 11 patients who were successfully resuscitated after CA over a 25-month peiod after finding that all patients with ICP of >25 mmHg died. They also noted major ICP increments during rewarming period.

    Article  PubMed  Google Scholar 

  44. Hayreh SS. Pathogenesis of optic disc edema in raised intracranial pressure. Prog Retin Eye Res. 2016;50:108–44.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Geeraerts T, et al. Ultrasonography of the optic nerve sheath may be useful for detecting raised intracranial pressure after severe brain injury. Intensive Care Med. 2007;33(10):1704–11.

    Article  PubMed  Google Scholar 

  46. Goeres P, et al. Ultrasound assessment of optic nerve sheath diameter in healthy volunteers. J Crit Care. 2016;31(1):168–71.

    Article  PubMed  Google Scholar 

  47. Soldatos T, et al. Optic nerve sonography in the diagnostic evaluation of adult brain injury. Crit Care. 2008;12(3):R67.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Dubourg J, et al. Ultrasonography of optic nerve sheath diameter for detection of raised intracranial pressure: a systematic review and meta-analysis. Intensive Care Med. 2011;37(7):1059–68.

    Article  PubMed  Google Scholar 

  49. Ueda T, et al. Sonographic optic nerve sheath diameter: a simple and rapid tool to assess the neurologic prognosis after cardiac arrest. J Neuroimaging. 2015;25(6):927–30.

    Article  PubMed  Google Scholar 

  50. • Chelly J, et al. The optic nerve sheath diameter as a useful tool for early prediction of outcome after cardiac arrest: a prospective pilot study. Resuscitation. 2016;103:7–13. Chelly et al. in a prospective study of 36 patients consecutively enrolled over a 22-month period measured OSND on days 1, 2, and 3 after ROSC. They conclude that this is a promising bedside tool to evaluate the severity of post-CA brain injuries and outcome in a multimodal neuroprognostication approach.

    Article  PubMed  Google Scholar 

  51. Mahajan C, Rath G. Cerebral microdialysis. J Neuroanaesthesiol Crit Care. 2015;2(3):232–9.

    Article  Google Scholar 

  52. Ungerstedt U, Rostami E. Microdialysis in neurointensive care. Curr Pharm Des. 2004;10(18):2145–52.

    Article  CAS  PubMed  Google Scholar 

  53. Nordmark J, et al. Intracerebral monitoring in comatose patients treated with hypothermia after a cardiac arrest. Acta Anaesthesiol Scand. 2009;53(3):289–98.

    Article  CAS  PubMed  Google Scholar 

  54. •• Kirkman MA, Smith M. Brain oxygenation monitoring. Anesthesiol Clin. 2016;34(3):537–56. This review article describes the different methods of bedside cerebral oxygenation monitoring namely jugular bulb oximetry, NIRS and brain tissue oxygen monitoring, the indications and evidence base for their use, and limitations and future perspectives. The authors conclude that although there is evidence associating cerebral hypoxia with poor outcomes, it remains to be determined whether restoring cerebral oxygenation improves outcomes.

    Article  PubMed  Google Scholar 

  55. •• Roh D, Park S. Brain multimodality monitoring: updated perspectives. Curr Neurol Neurosci Rep. 2016;16(6):56. Roh and Park review the evidence behind the use of various devices targeted at continuously measuring physiologic endpoints as a part of multimodality monitoring (MMM) that contribute to secondary brain injury with the idea of early intervention before the process becomes irreversible.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Oddo M, Bösel J. Monitoring of brain and systemic oxygenation in neurocritical care patients. Neurocrit Care. 2014;21(2):103–20.

    Article  CAS  Google Scholar 

  57. Doppenberg EM, et al. Determination of the ischemic threshold for brain oxygen tension. Acta Neurochir Suppl. 1998;71:166–9.

    CAS  PubMed  Google Scholar 

  58. Oddo M, et al. Effect of shivering on brain tissue oxygenation during induced normothermia in patients with severe brain injury. Neurocrit Care. 2010;12(1):10–6.

    Article  CAS  PubMed  Google Scholar 

  59. Stocchetti N, et al. Impact of pyrexia on neurochemistry and cerebral oxygenation after acute brain injury. J Neurol Neurosurg Psychiatry. 2005;76(8):1135–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Ko SB, et al. Status epilepticus-induced hyperemia and brain tissue hypoxia after cardiac arrest. Arch Neurol. 2011;68(10):1323–6.

    Article  PubMed  Google Scholar 

  61. Pollard V, Prough DS. Cerebral oxygenation: near infrared spectroscopy. In: Tobin MJ, editor. Principles and practice of intensive care monitoring. New York: McGraw-Hill Professional; 1998. p. 1019–34.

    Google Scholar 

  62. Pollard V, et al. Validation in volunteers of a near-infrared spectroscope for monitoring brain oxygenation in vivo. Anesth Analg. 1996;82(2):269–77.

    CAS  PubMed  Google Scholar 

  63. McCormick PW, et al. Measurement of regional cerebrovascular haemoglobin oxygen saturation in cats using optical spectroscopy. Neurol Res. 1991;13(1):65–70.

    Article  CAS  PubMed  Google Scholar 

  64. •• Parnia S, et al. Cerebral oximetry during cardiac arrest: a multicenter study of neurologic outcomes and survival. Crit Care Med. 2016;44(9):1663–74. Parnia et al. studied intra arrest cerebral oximetry in a Multicenter prospective study of in-hospital cardiac arrest in 504 patientsand found higher mean oximetry in those who had ROSC versus those who did not and those who had favorable neurological outcomes (CPC 1–2) versus those who had unfavorab;e outcomes (CPC 3–5) at discharge.

    Article  CAS  PubMed  Google Scholar 

  65. Parnia S, et al. A feasibility study of cerebral oximetry during in-hospital mechanical and manual cardiopulmonary resuscitation*. Crit Care Med. 2014;42(4):930–3.

    Article  PubMed  Google Scholar 

  66. Cournoyer A, et al. Near-infrared spectroscopy monitoring during cardiac arrest: a systematic review and meta-analysis. Acad Emerg Med. 2016;23(8):851–62.

    Article  PubMed  Google Scholar 

  67. Storm C, et al. Regional cerebral oxygen saturation after cardiac arrest in 60 patients—a prospective outcome study. Resuscitation. 2014;85(8):1037–41.

    Article  CAS  PubMed  Google Scholar 

  68. Ahn A, et al. A feasibility study of cerebral oximetry monitoring during the post-resuscitation period in comatose patients following cardiac arrest. Resuscitation. 2014;85(4):522–6.

    Article  PubMed  Google Scholar 

  69. Dearden NM, Midgley S. Technical considerations in continuous jugular venous oxygen saturation measurement. Acta Neurochir Suppl (Wien). 1993;59:91–7.

    CAS  Google Scholar 

  70. Takasu A, et al. Combined continuous monitoring of systemic and cerebral oxygen metabolism after cardiac arrest. Resuscitation. 1995;29(3):189–94.

    Article  CAS  PubMed  Google Scholar 

  71. Zarzuelo R, Castaneda J. Differences in oxygen content between mixed venous blood and cerebral venous blood for outcome prediction after cardiac arrest. Intensive Care Med. 1995;21(1):71–5.

    Article  CAS  PubMed  Google Scholar 

  72. Buunk G, van der Hoeven JG, Meinders AE. Prognostic significance of the difference between mixed venous and jugular bulb oxygen saturation in comatose patients resuscitated from a cardiac arrest. Resuscitation. 1999;41(3):257–62.

    Article  CAS  PubMed  Google Scholar 

  73. Smith DS, et al. Reperfusion hyperoxia in brain after circulatory arrest in humans. Anesthesiology. 1990;73(1):12–9.

    Article  CAS  PubMed  Google Scholar 

  74. van Dijk JG, et al. The semiology of tilt-induced reflex syncope in relation to electroencephalographic changes. Brain. 2014;137(Pt 2):576–85.

    Article  PubMed  Google Scholar 

  75. Levin P, Kinnell J. Successful cardiac resuscitation despite prolonged silence of EEG. Arch Intern Med. 1966;117(4):557–60.

    Article  CAS  PubMed  Google Scholar 

  76. Kabat H, Anderson JP. Acute arrest of cerebral circulation in man: Lieutenant Ralph Rossen (MC), U.S.N.R. Arch Neurol Psychiatr. 1943;50(5):510–28.

    Article  Google Scholar 

  77. Gonzalez ER, et al. Dose-dependent vasopressor response to epinephrine during CPR in human beings. Ann Emerg Med. 1989;18(9):920–6.

    Article  CAS  PubMed  Google Scholar 

  78. • van Putten MJ, Hofmeijer J. EEG monitoring in cerebral ischemia: basic concepts and clinical applications. J Clin Neurophysiol. 2016;33(3):203–10. In this invited review, van Putten and Hofmeijer review essentials of EEG generation and the effects of ischemia on the underlying neuronal processes. They discuss the differential sensitivity of various neuronal processes to energy limitations, including synaptic disturbance. They discuss the applications in introperative monitoring, acute ischemic stroke and after CA.

    Article  PubMed  Google Scholar 

  79. Hofmeijer J, van Putten MJ. Ischemic cerebral damage: an appraisal of synaptic failure. Stroke. 2012;43(2):607–15.

    Article  PubMed  Google Scholar 

  80. Steriade M. Cellular substrates of brain rhythms. In: Niedermeyer E, Lopes da Silva FH, editors. Niedermeyer’s electroencephalography: basic principles, clinical applications, and related fields. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health; 2010. p. 33–64.

    Google Scholar 

  81. Sharbrough FW, Messick JM Jr, Sundt TM Jr. Correlation of continuous electroencephalograms with cerebral blood flow measurements during carotid endarterectomy. Stroke. 1973;4(4):674–83.

    Article  CAS  PubMed  Google Scholar 

  82. Ito H, et al. Database of normal human cerebral blood flow measured by SPECT: I. Comparison between I-123-IMP, Tc-99m-HMPAO, and Tc-99m-ECD as referred with O-15 labeled water PET and voxel-based morphometry. Ann Nucl Med. 2006;20(2):131–8.

    Article  CAS  PubMed  Google Scholar 

  83. Hofmeijer J, van Putten MJ. EEG in postanoxic coma: prognostic and diagnostic value. Clin Neurophysiol. 2016;127(4):2047–55.

    Article  CAS  PubMed  Google Scholar 

  84. • Sadaka F, et al. Continuous electroencephalogram in comatose postcardiac arrest syndrome patients treated with therapeutic hypothermia: outcome prediction study. J Intensive Care Med. 2015;30(5):292–6. The authors reviewed retrospectively EEG data that were prospectively collected on post resuscitation patients admitted to their ICU (n− = 58). cEEG monitoring was performed per protocol for all pateints undergoing therapeutic hypothermia (TH). nonconvuslsive seizures (NCS) and burst suppression had a specificity of 100% for poor neurological outcome CPC 3–5 on discharge.

    Article  PubMed  Google Scholar 

  85. •• Sandroni C, et al. Predictors of poor neurological outcome in adult comatose survivors of cardiac arrest: a systematic review and meta-analysis. Part 2: patients treated with therapeutic hypothermia. Resuscitation. 2013;84(10):1324–38. Sandorini et al conducted a metaanalysis of 37 studies (2403 patients): to systematically review the accuracy of early (≤7 days) predictors of poor outcomeby CPC score in comatose survivors of cardiac arrest treated with TH. They found that a bilaterally absent N20 SSEP wave anytime, a nonreactive EEG after rewarming or a combination of absent ocular reflexes and motor score ≤2 after rewarming predicted CPC 3–5 with 0% FPR and narrow 95% CIs, but with a high risk of bias.

    Article  PubMed  Google Scholar 

  86. Sivaraju A, et al. Prognostication of post-cardiac arrest coma: early clinical and electroencephalographic predictors of outcome. Intensive Care Med. 2015;41(7):1264–72.

    Article  PubMed  Google Scholar 

  87. Le Roux P, et al. Consensus summary statement of the international multidisciplinary consensus conference on multimodality monitoring in neurocritical care: a statement for healthcare professionals from the Neurocritical Care Society and the European Society of Intensive Care Medicine. Intensive Care Med. 2014;40(9):1189–209.

    Article  PubMed  Google Scholar 

  88. Geocadin RG, et al. Management of brain injury after resuscitation from cardiac arrest. Neurol Clin. 2008;26(2):487–506. ix

    Article  PubMed  PubMed Central  Google Scholar 

  89. Diedler J, Czosnyka M. Merits and pitfalls of multimodality brain monitoring. Neurocrit Care. 2010;12(3):313–6.

    Article  PubMed  Google Scholar 

  90. Oddo M, Villa F, Citerio G. Brain multimodality monitoring: an update. Curr Opin Crit Care. 2012;18(2):111–8.

    Article  PubMed  Google Scholar 

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Correspondence to Niraj Sinha.

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Sinha, N., Parnia, S. Monitoring the Brain After Cardiac Arrest: a New Era. Curr Neurol Neurosci Rep 17, 62 (2017). https://doi.org/10.1007/s11910-017-0770-x

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