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Acquired brain injuries: neurophysiology in early prognosis and rehabilitation pathway

  • Maenia Scarpino1,2
  • Giovanni Lanzo1
  • Bahia Hakiki2
  • Raisa Sterpu2
  • Antonio Maiorelli2
  • Francesca Cecchi2,3
  • Francesco Lolli4
  • Antonello Grippo1,2

1SODC Neurofisiopatologia, Azienda Ospedaliero Universitaria Careggi, 50139 Firenze, Italia

2IRCCS Don Carlo Gnocchi, Via di Scandicci, 350 Firenze, Italia

3Dipartmento di Medicina Sperimentale e Clinica, Università di Firenze, 35630 Firenze, Italia

4Dipartmento di Scienze Biomediche, Sperimentali e Cliniche Mario Serio, Università di Firenze, 35630 Firenze, Italia

DOI: 10.22514/sv.2021.132 Vol.17,Issue 5,September 2021 pp.1-10

Submitted: 23 April 2021 Accepted: 28 June 2021

Published: 08 September 2021

(This article belongs to the Special Issue Managing Coma in Critically Ill Patients: Clinical Neurophysiology)

*Corresponding Author(s): Bahia Hakiki E-mail: bhakiki@dongnocchi.it

Abstract

Despite advances in intensive care medicine and neurosurgical procedures, the mortality and long-term disability rates for serious traumatic and non-traumatic brain injuries remain high. With improvements in intensive care, the most common proximate cause of death in comatose patients following acquired brain injury is represented by the withdrawal of life-sustaining therapies (ABI). This procedure, however, raises serious ethical concerns, as current approaches in the prediction of consciousness recovery and functional independence lack accuracy. The prediction of neurological outcome after severe ABI at the individual patient level is variable and challenging. Current prognostication models applied in severe traumatic brain injury and the post-cardiac arrest population perform reasonably well in predicting the neurological outcomes in low- and high-severity patients but do not allow for accurate outcome predictions in patients with intermediate severity. The current review highlights new clinical and instrumental prognostication develop-ments, with a particular focus on the prediction of consciousness recovery. In particular, recent research has leveraged neurophysiological techniques (electroencephalogram and somatosensory evoked potentials) to build a strategy for recovery prediction. In addition, we underline the relevance of instrumental motor assessments because motor impairment may affect the reliable evaluation of the effective consciousness level or may hamper patients’ complete functional recovery.


Keywords

Severe acquired brain injuries; Coma; Neurological prognosis; Electroencephalography; Somatosensory evoked potentials; Rehabilitation; Disorder of consciousness


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Maenia Scarpino,Giovanni Lanzo,Bahia Hakiki,Raisa Sterpu,Antonio Maiorelli,Francesca Cecchi,Francesco Lolli,Antonello Grippo. Acquired brain injuries: neurophysiology in early prognosis and rehabilitation pathway. Signa Vitae. 2021. 17(5);1-10.

References

[1] Scarpino M, Grippo A, Lanzo G, Lolli F. The burden of clinical neuro-physiology for the neurological prognosis of coma. Future Neurology. 2018; 13: 127–129.

[2] Scarpino M, Lanzo G, Lolli F, Carrai R, Moretti M, Spalletti M, et al. Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest. Data in Brief. 2018; 19: 704–711.

[3] Carrai R, Grippo A, Scarpino M, Spalletti M, Cossu C, Lanzo G, et al. Time-dependent and independent neurophysiological indicators of prognosis in post-anoxic coma subjects treated by therapeutic hypothermia. Minerva Anestesiologica. 2016; 82: 940–949.

[4] Carrai R, Scarpino M, Lolli F, Spalletti M, Lanzo G, Peris A, et al. Early-SEPs’ amplitude reduction is reliable for poor-outcome prediction after cardiac arrest? Acta Neurologica Scandinavica. 2019; 139: 158–165.

[5] Carrai R, Spalletti M, Scarpino M, Lolli F, Lanzo G, Cossu C, et al. Are neurophysiologic tests reliable, ultra-early prognostic indices after cardiac arrest? Neurophysiologie Clinique. 2021; 51: 133–144.

[6] Grippo A, Carrai R, Fossi S, Cossu C, Mazzeschi E, Peris A, et al. Absent SEP during therapeutic hypothermia did not reappear after re-warming in comatose patients following cardiac arrest. Minerva Anestesiologica. 2013; 79: 360–369.

[7] Scarpino M, Lanzo G, Carrai R, Lolli F, Migliaccio ML, Spalletti M, et al. Predictive patterns of sensory evoked potentials in comatose brain injured patients evolving to brain death. Neurophysiologie Clinique. 2017; 47: 19–29.

[8] Scarpino M, Lolli F, Lanzo G, Carrai R, Spalletti M, Valzania F, et al. Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: the ProNeCA prospective multicentre prognostication study. Resuscitation. 2019; 143: 115–123.

[9] Scarpino M, Lolli F, Lanzo G, Carrai R, Spalletti M, Valzania F, et al. Neurophysiological and neuroradiological test for earlypooroutcome (Cerebral Performance Categories 3–5) prediction after cardiacarrest: Prospective multicenter prognostication data. Data in Brief. 2019; 27: 104755.

[10] Scarpino M, Carrai R, Lolli F, Lanzo G, Spalletti M, Valzania F, et al. Neurophysiology for predicting good and poorneurologicaloutcomeat 12 and 72 h after cardiacarrest: The ProNeCA multicenter prospective study. Resuscitation. 2020; 147: 95–103.

[11] Celani MG, Carrai R, Cantisani TA, Scarpino M, Ercolani MV, Lolli F, et al. Is there inter-observer variation in the interpretation of SSEPs in comatose cardiac arrest survivors? Further considerations following the Italian multicenter ProNeCa study. Resuscitation. 2020; 155: 207–210.

[12] Portaccio E, Morrocchesi A, Romoli AM, Hakiki B, Taglioli MP, Lippi E, et al. Improvement on the Coma Recovery Scale-Revised During the First Four Weeks of Hospital Stay Predicts Outcome at Discharge in Intensive Rehabilitation After Severe Brain Injury. Archives of Physical Medicine and Rehabilitation. 2018; 99: 914–919.

[13] Bagnato S, Boccagni C, Sant’angelo A, Prestandrea C, Romano MC, Galardi G. Neuromuscular involvement in vegetative and minimally conscious states following acute brain injury. Journal of the Peripheral Nervous System. 2011; 16: 315–321.

[14] Stevens VK, Vleeming A, Bouche KG, Mahieu NN, Vanderstraeten GG, Danneels LA. Electromyographic activity of trunk and hip muscles during stabilization exercises in four-point kneeling in healthy volunteers. European Spine Journal. 2007; 16: 711–718.

[15] Bolton CF. Neuromuscular manifestations of critical illness. Muscle and Nerve. 2005; 32: 140–163.

[16] Latronico N, Peli E, Botteri M. Critical illness myopathy and neuropathy. Current Opinion in Critical Care. 2005; 11: 126–132.

[17] Witt NJ, Zochodne DW, Bolton CF, Grand’Maison F, Wells G, Young GB, et al. Peripheral nerve function in sepsis and multiple organ failure. Chest. 1991; 99: 176–184.

[18] Khan J, Harrison TB, Rich MM, Moss M. Early development of critical illness myopathy and neuropathy in patients with severe sepsis. Neurology. 2006; 67: 1421–1425.

[19] Latronico N. Neuromuscular alterations in the critically ill patient: critical illness myopathy, critical illness neuropathy, or both? Intensive Care Medicine. 2003; 29: 1411–1413.

[20] Leijten FS, De Weerd AW, Poortvliet DC, De Ridder VA, Ulrich C, Harink-De Weerd JE. Critical illness polyneuropathy in multiple organ dysfunction syndrome and weaning from the ventilator. Intensive Care Medicine. 1996; 22: 856–861.

[21] Intiso D, Amoruso L, Zarrelli M, Pazienza L, Basciani M, Grimaldi G, et al. Long-term functional outcome and health status of patients with critical illness polyneuromyopathy. Acta Neurologica Scandinavica. 2011; 123: 211–219.

[22] Amantini A, Carrai R, Fossi S, Pinto F, Grippo A. The role of early electroclinical assessment in improving the evaluation of patients with disorders of consciousness. Functional Neurology. 2011; 26: 7–14.

[23] Teasdale G, Maas A, Lecky F, Manley G, Stocchetti N, Murray G. The Glasgow Coma Scale at 40 years: Standing the test of time. Lancet Neurology. 2014; 13: 844–854.

[24] Scarpino M, Lanzo G, Lolli F, Moretti M, Carrai R, Migliaccio ML, et al. Is brain computed tomography combined with somatosensory evoked potentials useful in the prediction of brain death after cardiac arrest?Neurophysiologie Clinique. 2017; 47: 327–335.

[25] Scarpino M, Carrai R, Lolli F, Lanzo G, Spalletti M, Audenino D, et al. Electroencephalogram and somatosensory evoked potential evaluation for good and poor neurological prognosis after cardiac arrest: a prospective multicenter cohort trial (ProNeCA). Future Neurology. 2019; 14: FNL16.

[26] Scarpino M, Lanzo G, Amantini A, Grippo A. What is new about somatosensory evoked potentials as neurological predictors of comatose survivors after cardiac arrest? Future Neurology. 2020; 15: FNL36.

[27] Florence G, Guerit JM, Gueguen B. Electroencephalography (EEG) and somatosensory evoked potentials (SEP) to prevent cerebral ischaemia in the operating room. Neurophysiologie Clinique. 2004; 34: 17–32.

[28] Guérit JM, Amantini A, Amodio P, Andersen KV, Butler S, de Weerd A, et al. Consensus on the use of neurophysiological tests in the intensive care unit (ICU): Electroencephalogram (EEG), evoked potentials (EP), and electroneuromyography (ENMG). Neurophysiologie Clinique. 2009; 39: 71–83.

[29] Robinson LR, Micklesen PJ, Tirschwell DL, Lew HL. Predictive value of somatosensory evoked potentials for awakening from coma. Critical Care Medicine. 2003; 31: 960–967.

[30] Sun Y, Yu J, Wu J, Wu X, Yuan Q, Wu X, et al. Predictive value of somatosensory evoked potentials for patients with severe traumatic brain injury. Neurosurgery. 2014; 61: 171–174.

[31] Scarpino M, Lolli F, Lanzo G, Carrai R, Spalletti M, Valzania F, et al. Does a combination of ≥2 abnormal tests vs. the ERC-ESICM stepwise algorithm improve prediction of poor neurological outcome after cardiac arrest? A post-hoc analysis of the ProNeCA multicentre study. Resuscitation. 2021; 160: 158–167.

[32] Endisch C, Storm C, Ploner CJ, Leithner C. Amplitudes of SSEP and outcome in cardiac arrest survivors: A prospective cohort study. Neurology. 2015; 85: 1752–1760.

[33] Glimmerveen AB, Keijzer HM, Ruijter BJ, Tjepkema-Cloostermans MC, van Putten MJAM, Hofmeijer J. Relevance of Somatosensory Evoked Potential Amplitude After Cardiac Arrest. Frontiers in Neurology. 2020; 11: 335.

[34] Barbella G, Novy J, Marques-Vidal P, Oddo M, Rossetti AO. Added value of somato-sensory evoked potentials amplitude for prognostication after cardiac arrest. Resuscitation. 2020; 149: 17–23.

[35] Scarpino M, Lolli F, Lanzo G, Carrai R, Spalletti M, Valzania F, et al. SSEP amplitude accurately predicts both good and poor neurological outcome early after cardiac arrest; a post-hoc analysis of the ProNeCA multicentre study. Resuscitation. 2021; 163: 162–171.

[36] Zhao J, Luo X, Zhang Z, Chen K, Shi G, Zhou J. Use of somatosensory evoked potentials for preoperative assessment in patients with severe aneurysmal subarachnoid hemorrhage before surgical or interventional treatment: a prospective observational cohort study. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018; 30: 251–256. (In Chinese)

[37] Morgalla MH, Tatagiba M. Long-term outcome prediction after a traumatic brain injury using early somatosensory and acoustic evoked potentials: analysis of the predictive value of the different single components of the potentials. Neurodiagnostic Journal. 2014; 54: 338–352.

[38] Carrai R, Grippo A, Lori S, Pinto F, Amantini A. Prognostic value of somatosensory evoked potentials in comatose children: a systematic literature review. Intensive Care Medicine. 2010; 36: 1112–1126.

[39] Hirsch LJ, LaRoche SM, Gaspard N, Gerard E, Svoronos A, Herman ST, et al. American Clinical Neurophysiology Society’s Standardized Critical Care EEG Terminology: 2012 version. Journal of Clinical Neurophysiology. 2013; 30: 1–27.

[40] Hirsch LJ, Fong MWK, Leitinger M, LaRoche SM, Beniczky S, Abend NS, et al. American Clinical Neurophysiology Society’s Standardized Critical Care EEG Terminology: 2021 Version. Journal of Clinical Neurophysiology. 2021; 38: 1–29.

[41] Grippo A, Amantini A. Continuous EEG on the intensive care unit: Terminology standardisation of spectrogram patterns will improve the clinical utility of quantitative EEG. Clinical Neurophysiology. 2020; 131: 2281–2283.

[42] Bagnato S, Boccagni C, Sant’Angelo A, Prestandrea C, Mazzilli R, Galardi G. EEG predictors of outcome in patients with disorders of consciousness admitted for intensive rehabilitation. Clinical Neurophys-iology. 2015; 126: 959–966.

[43] Scarpino M, Lolli F, Hakiki B, Atzori T, Lanzo G, Sterpu R, et al. Prognostic value of post-acute EEG in severe disorders of consciousness, using American Clinical Neurophysiology Society terminology. Neuro-physiologie Clinique. 2019; 49: 317–327.

[44] Scarpino M, Lolli F, Hakiki B, Lanzo G, Sterpu R, Atzori T, et al. EEG and Coma Recovery Scale‐Revised prediction of neurological outcome in Disorder of Consciousness patients. Acta Neurologica Scandinavica. 2020; 142: 221–228.

[45] Estraneo A, Loreto V, Guarino I, Boemia V, Paone G, Moretta P, et al. Standard EEG in diagnostic process of prolonged disorders of consciousness. Clinical Neurophysiology. 2016; 127: 2379–2385.

[46] Estraneo A, Fiorenza S, Magliacano A, Formisano R, Mattia D, Grippo A, et al. Multicenter prospective study on predictors of short-term outcome in disorders of consciousness. Neurology. 2020; 95: e1488–e1499.

[47] Intiso D, DI Rienzo F, Fontana A, Tolfa M, Bartolo M, Copetti M. Functional outcome of critical illness polyneuropathy in patients affected by severe brain injury. European Journal of Physical and Rehabilitation Medicine. 2017; 53: 910–919.

[48] Pizzi A, Carrai R, Falsini C, Martini M, Verdesca S, Grippo A. Prognostic value of motor evoked potentials in motor function recovery of upper limb after stroke. Journal of Rehabilitation Medicine. 2009; 41: 654–660.

[49] Kotchoubey B, Pavlov YG. A Systematic Review and Meta-Analysis of the Relationship between Brain Data and the Outcome in Disorders of Consciousness. Frontiers in Neurology. 2018; 9: 315.

[50] Bagnato S, Boccagni C, Prestandrea C, Fingelkurts AA, Fingelkurts AA, Galardi G. Changes in Standard Electroencephalograms Parallel Consciousness Improvements in Patients with Unresponsive Wakefulness Syndrome. Archives of Physical Medicine and Rehabilitation. 2017; 98: 665–672.

[51] Arnaldi D, Terzaghi M, Cremascoli R, De Carli F, Maggioni G, Pistarini C, et al. The prognostic value of sleep patterns in disorders of consciousness in the sub-acute phase. Clinical Neurophysiology. 2016; 127: 1445–1451.

[52] Pascarella A, Trojano L, Loreto V, Bilo L, Moretta P, Estraneo A. Long-term outcome of patients with disorders of consciousness with and without epileptiform activity and seizures: a prospective single centre cohort study. Journal of Neurology. 2016; 263: 2048–2056.

[53] Bagnato S, Boccagni C, Galardi G. Structural epilepsy occurrence in vegetative and minimally conscious states. Epilepsy Research. 2013; 103: 106–109.

[54] Hakiki B, Draghi F, Scarpino M, Portaccio E, Romoli A, Mannini A, et al. Critical illness polyneuromyopathy: Functional impact after severe acquired brain injuries. Acta Neurologica Scandinavica. 2020; 142: 574–584.

[55] Scarpino M, Bonizzoli M, Lazzeri C, Lanzo G, Lolli F, Ciapetti M, et al. Electrodiagnostic findings in patients with non-COVID-19 and COVID-19 related acute respiratory distress syndrome. Acta Neurologica Scandinavica. 2021; 144: 161–169.

[56] Bolton CF, Breuer AC. Critical illness polyneuropathy. Muscle & Nerve. 1999; 22: 419–424.

[57] Lefaucheur J, Nordine T, Rodriguez P, Brochard L. Origin of ICU acquired paresis determined by direct muscle stimulation. Journal of Neurology, Neurosurgery, and Psychiatry. 2006; 77: 500–506.


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