Artigo Revisado por pares

The Burden of Clinical Neurophysiology for the Neurological Prognosis of Coma

2018; Future Medicine; Volume: 13; Issue: 3 Linguagem: Inglês

10.2217/fnl-2018-0013

ISSN

1748-6971

Autores

Maenia Scarpino, Antonello Grippo, Giovanni Lanzo, Francesco Lolli,

Tópico(s)

Traumatic Brain Injury Research

Resumo

Future NeurologyVol. 13, No. 3 EditorialThe burden of clinical neurophysiology for the neurological prognosis of comaM Scarpino, A Grippo, G Lanzo & F LolliM ScarpinoSODc Neurofisiopatologia, Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, ItalyIRCCS, Fondazione Don Carlo Gnocchi, Florence, Italy, A GrippoSODc Neurofisiopatologia, Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, ItalyIRCCS, Fondazione Don Carlo Gnocchi, Florence, Italy, G LanzoSODc Neurofisiopatologia, Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, Italy & F Lolli*Author for correspondence: E-mail Address: lolli@unifi.itSODc Neurofisiopatologia, Dipartimento Neuromuscolo-Scheletrico e degli Organi di Senso, AOU Careggi, Florence, ItalyUniversità degli Studi di Firenze, Dipartimento di Scienze Biomediche Sperimentali e Cliniche, ItalyPublished Online:6 Jul 2018https://doi.org/10.2217/fnl-2018-0013AboutSectionsView ArticleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinkedInReddit View articlePapers of special note have been highlighted as: • of interest; •• of considerable interestReferences1 Scarpino M, Lanzo G, Carrai R et al. Predictive patterns of sensory evoked potentials in comatose brain injured patients evolving to brain death. Neurophysiol. Clin. Clin. Neurophysiol. 47(1), 19–29 (2017).Crossref, Medline, Google Scholar2 Scarpino M, Lanzo G, Lolli F et al. Is brain computed tomography combined with somatosensory evoked potentials useful in the prediction of brain death after cardiac arrest? Neurophysiol. Clin. Clin. Neurophysiol. 47(4), 327–335 (2017).Crossref, Medline, Google Scholar3 Scarpino M, Lanzo G, Lolli F et al. Neurophysiological and neuroradiological multimodal approach for early poor outcome prediction after cardiac arrest. Resuscitation (2018) (In Press). •• An example of multimodal prognostic approach obtained with the combination on instrumental methods available in all clinical settings. The authors underline how more than one prognostic indicator can help the clinician both in a 'sensitivity' oriented and 'reliability' oriented approach.Crossref, Google Scholar4 Carrai R, Grippo A, Scarpino M et al. Time-dependent and independent neurophysiological indicators of prognosis in post-anoxic coma subjects treated by therapeutic hypothermia. Minerva Anestesiol. 82(9), 940–949 (2016).Medline, Google Scholar5 Spalletti M, Carrai R, Scarpino M et al. Single electroencephalographic patterns as specific and time-dependent indicators of good and poor outcome after cardiac arrest. Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol. 127(7), 2610–2617 (2016).Crossref, Medline, CAS, Google Scholar6 Robinson LR, Micklesen PJ, Tirschwell DL, Lew HL. Predictive value of somatosensory evoked potentials for awakening from coma. Crit. Care Med. 31(3), 960–967 (2003).Crossref, Medline, Google Scholar7 Grippo A, Carrai R, Scarpino M et al. Neurophysiological prediction of neurological good and poor outcome in post-anoxic coma. Acta Neurol. Scand. 135(6), 641–648 (2017).Crossref, Medline, CAS, Google Scholar8 Amantini A, Grippo A, Fossi S et al. Prediction of 'awakening' and outcome in prolonged acute coma from severe traumatic brain injury: evidence for validity of short latency SEPs. Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol. 116(1), 229–235 (2005).Crossref, Medline, Google Scholar9 Endisch C, Storm C, Ploner CJ, Leithner C. Amplitudes of SSEP and outcome in cardiac arrest survivors: a prospective cohort study. Neurology 85(20), 1752–1760 (2015).Crossref, Medline, Google Scholar10 Sun Y, Yu J, Wu J et al. Predictive value of somatosensory evoked potentials for patients with severe traumatic brain injury. Neurosurgery 61(Suppl 1), 171–174 (2014).Crossref, Medline, Google Scholar11 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 J. 54(4), 338–352 (2014).Crossref, Medline, CAS, Google Scholar12 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. 30(3), 251–256 (2018).Medline, Google Scholar13 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 Med. 36(7), 1112–1126 (2010). • The systematic review deals with the use of somatosensory evoked potentials (SEPs) for prognostication of coma in children.Crossref, Medline, Google Scholar14 Hirsch LJ, LaRoche SM, Gaspard N et al. American Clinical Neurophysiology Society's standardized critical care EEG terminology: 2012 version. J. Clin. Neurophysiol. Off. Publ. Am. Electroencephalogr. Soc. 30(1), 1–27 (2013). •• A detailed classification of electroencephalography (EEG) patterns occurring in comatose patients. The detailed criteria of EEG description allow the use of EEG for coma prognosis.CAS, Google Scholar15 Robinson LR, Chapman M, Schwartz M et al. Patterns of use of somatosensory-evoked potentials for comatose patients in Canada. J. Crit. Care. 36, 130–133 (2016). • A survey of the use of SEPs for the prognostication of comatose patients in real clinical settings. A detailed analysis of the underuse and practical suggestions for the increase of the use of SEPs as a prognostication tool.Crossref, Medline, Google ScholarFiguresReferencesRelatedDetailsCited ByBilateral reappearance of the cortical SEP in a comatose patient after cardiac arrest: Pitfall or reality?Clinical Neurophysiology, Vol. 136Multiple Electroencephalogram Recordings for Monitoring the Evolution of Neurological Complications during Baclofen Withdrawal SyndromeCase Reports in Critical Care, Vol. 2022Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational Study28 February 2022 | Frontiers in Neurology, Vol. 13Eye-opening in brain death: A case report and review of the literatureClinical Neurophysiology Practice, Vol. 7Electrodiagnostic findings in patients with non‐COVID‐19‐ and COVID‐19‐related acute respiratory distress syndrome22 April 2021 | Acta Neurologica Scandinavica, Vol. 144, No. 2Are neurophysiologic tests reliable, ultra-early prognostic indices after cardiac arrest?Neurophysiologie Clinique, Vol. 51, No. 2Does 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 studyResuscitation, Vol. 160Severe neurological nicotine intoxication by e‐cigarette liquids: Systematic literature review20 September 2020 | Acta Neurologica Scandinavica, Vol. 143, No. 2Brain death following ingestion of E‐cigarette liquid nicotine refill solution28 July 2020 | Brain and Behavior, Vol. 10, No. 9EEG and Coma Recovery Scale‐Revised prediction of neurological outcome in Disorder of Consciousness patients14 April 2020 | Acta Neurologica Scandinavica, Vol. 142, No. 3What is new about somatosensory evoked potentials as neurological predictors of comatose survivors after cardiac arrest?Maenia Scarpino, Giovanni Lanzo, Aldo Amantini & Antonello Grippo24 April 2020 | Future Neurology, Vol. 15, No. 2What is the role of post acute EEG in prediction of late neurological outcome in severe disorders of consciousness?Maenia Scarpino, Francesco Lolli, Giovanni Lanzo & Antonello Grippo14 January 2020 | Future Neurology, Vol. 15, No. 1Neurophysiology for predicting good and poor neurological outcome at 12 and 72 h after cardiac arrest: The ProNeCA multicentre prospective studyResuscitation, Vol. 147Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3–5) prediction after cardiac arrest: Prospective multicentre prognostication dataData in Brief, Vol. 27Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: The ProNeCA prospective multicentre prognostication studyResuscitation, Vol. 143Prognostic value of post-acute EEG in severe disorders of consciousness, using American Clinical Neurophysiology Society terminologyNeurophysiologie Clinique, Vol. 49, No. 4Electroencephalogram and somatosensory evoked potential evaluation for good and poor neurological prognosis after cardiac arrest: a prospective multicenter cohort trial (ProNeCA)Maenia Scarpino, Riccardo Carrai, Francesco Lolli, Giovanni Lanzo, Maddalena Spalletti, Daniela Audenino, Claudio Callegarin, Maria Grazia Celani, Maria Lombardi, Alfonso Marrelli, Oriano Mecarelli, Chiara Minardi, Fabio Minicucci, Luisa Motti, Lucia Politini, Franco Valzania, Eugenio Vitelli, Adriano Peris, Aldo Amantini & Antonello Grippo24 May 2019 | Future Neurology, Vol. 14, No. 2 Vol. 13, No. 3 Follow us on social media for the latest updates Metrics Downloaded 41 times History Received 2 May 2018 Accepted 9 May 2018 Published online 6 July 2018 Published in print August 2018 Information© 2018 Future Medicine LtdFinancial & competing interests disclosureThe authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.No writing assistance was utilized in the production of this manuscript.PDF download

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