Literature DB >> 32219851

EEG and Coma Recovery Scale-revised prediction of neurological outcome in Disorder of Consciousness patients.

Maenia Scarpino1,2, Francesco Lolli2,3, Bahia Hakiki1,2, Giovanni Lanzo2, Raisa Sterpu1, Tiziana Atzori1, Emilio Portaccio1, Francesca Draghi1, Aldo Amantini1,2, Antonello Grippo1,2.   

Abstract

OBJECTIVE: According to Electroencephalogram (EEG) descriptors included in the American-Clinical-Neurophysiology-Society (ACNS) terminology we generated a score, and we compared it to the EEG scores previously proposed in order to identify the one with the best prognostic power for neurological outcome at post-acute stages in patients with severe disorders of consciousness (DoC).
MATERIALS AND METHODS: Patients included in the analysis were clinically evaluated with the Coma-Recovery-Scale-Revised (CRS-R). An EEG was performed within the first week after admission to Intensive Rehabilitation Unit (IRU). EEGs were classified according to the ACNS-terminology and to the scores of Bagnato and Estraneo.
RESULTS: A total of 260 patients admitted to the IRU was analysed. A total of 160 patients (61%) improved their consciousness level during IRU stay. EEG score based on the ANCS-terminology showed higher overall performance (receiver-operating area under the curve=0.79) and greater sensitivity (65%), at comparable specificities (80%), for clinical improvement as compared to both CRS-R admission score and other EEG scores. Combining our EEG score with CRS-R score at admission, the cumulative sensitivity increased to 76% when at least one good prognostic index test was present in the same patient, whereas specificity increased up to 93% if both the good prognostic patterns of clinical and instrumental parameters were simultaneously present.
CONCLUSION: The EEG scored according to the ACNS-terminology is the best amongst those looked at for the prediction of short-term clinical improvement in patients with DoC and represents a useful instrumental test, complementary to clinical evaluation at admission, to be added in post-acute neurological prognostication methods. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  acquired brain injuries; electroencephalogram (EEG); post-acute prognosis; prognosis; severe disorders of consciousness; standardized EEG classification

Year:  2020        PMID: 32219851     DOI: 10.1111/ane.13247

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  5 in total

Review 1.  EEG Assessment in Patients With Disorders of Consciousness: Aims, Advantages, Limits, and Pitfalls.

Authors:  Davide Rossi Sebastiano; Giulia Varotto; Davide Sattin; Silvana Franceschetti
Journal:  Front Neurol       Date:  2021-04-01       Impact factor: 4.003

2.  Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational Study.

Authors:  Bahia Hakiki; Ida Donnini; Anna Maria Romoli; Francesca Draghi; Daniela Maccanti; Antonello Grippo; Maenia Scarpino; Antonio Maiorelli; Raisa Sterpu; Tiziana Atzori; Andrea Mannini; Silvia Campagnini; Silvia Bagnoli; Assunta Ingannato; Benedetta Nacmias; Francesco De Bellis; Anna Estraneo; Valentina Carli; Eugenia Pasqualone; Angela Comanducci; Jorghe Navarro; Maria Chiara Carrozza; Claudio Macchi; Francesca Cecchi
Journal:  Front Neurol       Date:  2022-02-28       Impact factor: 4.003

3.  Accuracy of EEG Biomarkers in the Detection of Clinical Outcome in Disorders of Consciousness after Severe Acquired Brain Injury: Preliminary Results of a Pilot Study Using a Machine Learning Approach.

Authors:  Francesco Di Gregorio; Fabio La Porta; Valeria Petrone; Simone Battaglia; Silvia Orlandi; Giuseppe Ippolito; Vincenzo Romei; Roberto Piperno; Giada Lullini
Journal:  Biomedicines       Date:  2022-08-05

4.  Short-term efficacy of music therapy combined with α binaural beat therapy in disorders of consciousness.

Authors:  Zi-Bo Liu; Yan-Song Liu; Long Zhao; Man-Yu Li; Chun-Hui Liu; Chun-Xia Zhang; Hong-Ling Li
Journal:  Front Psychol       Date:  2022-09-06

5.  Sleep in disorders of consciousness: behavioral and polysomnographic recording.

Authors:  Isabella Mertel; Yuri G Pavlov; Christine Barner; Friedemann Müller; Susanne Diekelmann; Boris Kotchoubey
Journal:  BMC Med       Date:  2020-11-20       Impact factor: 8.775

  5 in total

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